| Strings Words Characters | |||
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| 24 13,067 542,691 |
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All strings | Browse Translate Zen |
| 24 13,067 542,691 |
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Unfinished strings | Browse Translate Zen |
| 24 13,067 542,691 |
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Untranslated strings | Browse Translate Zen |
| 24 13,067 542,691 |
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Unfinished strings without suggestions | Browse Translate Zen |
Overview
| Project website | github.com/worldbank/sdg-metadata | |
|---|---|---|
| Instructions for translators | This project is limited to Russian translation only, for now. More detailed instructions to come. |
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| Project maintainers |
 brockfanning
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| Translation license | MIT License | |
| Translation process |
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| Source code repository |
https://github.com/worldbank/sdg-metadata
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| Repository branch | master | |
| Last remote commit |
Merge pull request #553 from weblate/weblate-sdg-metadata-1-1-1a
d3a3ca3e2bb
brockfanning authored yesterday |
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| Last commit in Weblate |
Merge pull request #553 from weblate/weblate-sdg-metadata-1-1-1a
d3a3ca3e2bb
brockfanning authored yesterday |
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| Weblate repository |
https://hosted.weblate.org/git/sdg-metadata/1-1-1a/
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| File mask | translations-metadata/*/3-b-3.yml |
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| Monolingual base language file | translations-metadata/en/3-b-3.yml |
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| Translation file |
Download
translations-metadata/ar/3-b-3.yml
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| Last change | Feb. 11, 2022, 5:21 p.m. | |
| Last change made by | None | |
| Language | Arabic | |
| Language code | ar | |
| Text direction | Right to left | |
| Number of speakers | 378,482,167 | |
| Number of plurals | 6 | |
| Plural type | Arabic languages | |
| Plurals | Zero | 0 | One | 1 |
| Two | 2 | |
| Few | 3, 4, 5, 6, 7, 8, 9, 10, 103, 104, … | |
| Many | 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, … | |
| Other | 100, 101, 102, 200, 201, 202, 300, 301, 302, 400, … | |
| Plural formula | n==0 ? 0 : n==1 ? 1 : n==2 ? 2 : n%100>=3 && n%100<=10 ? 3 : n%100>=11 ? 4 : 5 |
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8 days ago
String statistics
| Strings percent | Hosted strings | Words percent | Hosted words | Characters percent | Hosted characters | |
|---|---|---|---|---|---|---|
| Total | 24 | 13,067 | 542,691 | |||
| Approved | 0% | 0 | 0% | 0 | 0% | 0 |
| Waiting for review | 0% | 0 | 0% | 0 | 0% | 0 |
| Translated | 0% | 0 | 0% | 0 | 0% | 0 |
| Needs editing | 0% | 0 | 0% | 0 | 0% | 0 |
| Read-only | 0% | 0 | 0% | 0 | 0% | 0 |
| Failing checks | 0% | 0 | 0% | 0 | 0% | 0 |
| Strings with suggestions | 0% | 0 | 0% | 0 | 0% | 0 |
| Untranslated strings | 100% | 24 | 100% | 13,067 | 100% | 542,691 |
Quick numbers
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<ol>
<li>World Health Organization and Health Action International, <em>Measuring medicine prices, availability, affordability and price components, 2<sup>nd</sup> Edition</em> (Switzerland, 2008), available from <a href="http://www.who.int/medicines/areas/access/OMS_Medicine_prices.pdf" target="_blank"><u>http://www.who.int/medicines/areas/access/OMS_Medicine_prices.pdf</u></a></li> <li>“Defined Daily Dose: Definition and general considerations” (WHO Collaborating Centre for Drug Statistics methodology, 07 February 2018),<strong> </strong><a href="https://www.whocc.no/ddd/definition_and_general_considera/" target="_blank"><u>https://www.whocc.no/ddd/definition_and_general_considera/</u></a></li> <li>“How to define a minimum wage?” (International Labour Organization, 2018),<a href="https://www.ilo.org/global/topics/wages/minimum-wages/definition/lang--en/index.htm" target="_blank"><u>https://www.ilo.org/global/topics/wages/minimum-wages/definition/lang--en/index.htm</u></a></li> <li>World Health Organization, <em>The Global Burden of Disease: 2004 Update</em> (Switzerland, 2008), available from<a href="http://www.who.int/healthinfo/global_burden_disease/2004_report_update/en/" target="_blank"><u>http://www.who.int/healthinfo/global_burden_disease/2004_report_update/en/</u></a></li> <li>“WHO Global Benchmarking Tool (GBT) for evaluation of national regulatory systems” (WHO Essential medicines and health products, 2018), available from<a href="http://www.who.int/medicines/regulation/benchmarking_tool/en/">http://www.who.int/medicines/regulation/benchmarking_tool/en/</a>.</li> <li>“Disease burden and mortality estimates” (WHO Health statistics and information systems, 2018), available from<strong> </strong><a href="http://www.who.int/healthinfo/global_burden_disease/estimates/en/index1.html">http://www.who.int/healthinfo/global_burden_disease/estimates/en/index1.html</a>.</li> <li>Alkire, S. and Robles, G. (2016). “Measuring multidimensional poverty: Dashboards, Union identification, and the Multidimensional Poverty Index (MPI).” OPHI Research in Progress 46a, University of Oxford.</li> <li>“Essential Medicines” (WHO Global Health Observatory data repository, 2016), available from <a href="http://apps.who.int/gho/data/node.main.487" target="_blank"><u>http://apps.who.int/gho/data/node.main.487</u></a>.</li> <li>Health at a Glance 2017: OECD Indicators, OECD (2017). OECD Publishing, Paris <a href="https://doi.org/10.1787/health_glance-2017-en" target="_blank"><u>https://doi.org/10.1787/health_glance-2017-en</u></a><u>.</u></li> </ol> <table> <thead> <tr> <th> <p><strong><u>Medicine</u></strong></p> </th> <th> <p><strong><u>Category (Therapeutic group)</u></strong></p> </th> <th> <p><strong><u>Justification</u></strong></p> </th> </tr> </thead> <tbody> <tr> <td> <p>Salbutamol (100 mcg/dose inhaler)</p> </td> <td> <p>NCD - Respiratory</p> </td> <td> <p><strong>Rationale:</strong> Salbutamol, a short acting beta-2 agonist, is recommended for prophylaxis and the first-line treatment of bronchospasm in asthma and COPD. It is recommended for all patients with acute severe asthma. </p> <p><strong>Treatment References: </strong><a href="http://www.who.int/ncds/management/pen_tools/en/"><u>WHO PEN 5.b</u></a><strong>, </strong><u>WHO </u><a href="http://apps.who.int/iris/bitstream/handle/10665/76173/9789241548397_eng.pdf"><u>Guidelines for primary health care in low-resource settings</u></a><strong> </strong></p> <p><strong>More information in WHO EML 2017 Section Reference: </strong>25.1</p> </td> </tr> <tr> <td> <p>Beclometasone (100 mcg/dose inhaler) or other corticosteroid inhaler</p> <p>Alternatives would include, but not be limited to, budesonide, fluticasone, ciclesonide. Refer to ATC group R03BA - </p> </td> <td> <p>NCD - Respiratory</p> </td> <td> <p><strong>Rationale:</strong> Inhaled corticosteroids are indicated for maintenance treatment of asthma symptoms by reducing inflammation and reducing airways hyper-responsiveness. These do not provide symptomatic relief in acute asthma. Beclometasone is a representative antiasthmatic in the WHO EML. </p> <p><strong>Treatment References: </strong><a href="http://www.who.int/ncds/management/pen_tools/en/"><u>WHO PEN 5.b</u></a><strong>, </strong><u>WHO </u><a href="http://apps.who.int/iris/bitstream/handle/10665/76173/9789241548397_eng.pdf"><u>Guidelines for primary health care in low-resource settings</u></a><strong> </strong></p> <p><strong>More information in WHO EML 2017 Section Reference: </strong>25.1</p> </td> </tr> <tr> <td> <p>Gliclazide (80 mg cap/tab) or other sulfonylurea</p> <p>Alternatives would include but not be limited to glibenclamide, glimepiride. Refer to ATC group A10BB </p> </td> <td> <p>NCD - Diabetes</p> </td> <td> <p><strong>Rationale:</strong> Second generation sulfonylureas (SFUs) increase the release of insulin from the pancreas to relieve the hyperglycaemia associated with diabetes. SFUs are useful in patients unable to tolerate metformin, or not adequately controlled on metformin. These are among the main therapies for most patients with type 2 diabetes, but contraindicated for patients with type 1 diabetes. However, it should be noted that glibenclamide has associated with higher levels of hypoglycaemia compared with gliclazide. Gliclazide is the representative sulfonylurea in the WHO EML.</p> <p><strong>Treatment References: </strong><a href="http://www.who.int/ncds/management/pen_tools/en/"><u>WHO PEN 5.b</u></a><strong>, </strong><u>WHO </u><a href="http://apps.who.int/iris/bitstream/handle/10665/76173/9789241548397_eng.pdf"><u>Guidelines for primary health care in low-resource settings</u></a></p> <p><strong>More information in WHO EML 2017 Section Reference: </strong>18.5</p> </td> </tr> <tr> <td> <p>Metformin (500 mg cap/tab, 850 mg cap/tab or 1 g cap/tab) </p> </td> <td> <p>NCD - Diabetes</p> </td> <td> <p><strong>Rationale:</strong> Metformin, an oral anti-diabetic medicine, can be used in patients with type 2 diabetes as a monotherapy or in combination with sulfonylureas.</p> <p><strong>Treatment References: </strong><a href="http://www.who.int/ncds/management/pen_tools/en/"><u>WHO PEN 5.b</u></a><strong>, </strong><u>WHO </u><a href="http://apps.who.int/iris/bitstream/handle/10665/76173/9789241548397_eng.pdf"><u>Guidelines for primary health care in low-resource settings</u></a><strong> </strong></p> <p><strong>More information in WHO EML 2017 Section Reference: </strong>18.5</p> </td> </tr> <tr> <td> <p>Insulin regular, soluble (100 IU/ml injection)</p> </td> <td> <p>NCD - Diabetes</p> </td> <td> <p><strong>Rationale: </strong>Regular human insulin, a rapid acting insulin, is necessary for all patients with type 1 and more than 10% of patients with type 2 diabetes. It is currently more affordable to health systems than other long-acting or analogue insulins.</p> <p><strong>Treatment References: </strong><a href="http://www.who.int/ncds/management/pen_tools/en/"><u>WHO PEN 5.b</u></a></p> <p><strong>More information in WHO EML 2017 Section Reference: </strong>18.5</p> </td> </tr> <tr> <td> <p>Two of the following antihypertensive:</p> <ol> <li>Amlodipine (5 mg cap/tab)</li> <li>Enalapril (5 mg cap/tab) or other angiotensin converting enzyme inhibitor (ACEI). Refer to ATC group C09AA.</li> <li>Hydrochlorothiazide (25 mg cap/tab) or Chlorthalidone (25 mg cap/tab) </li> <li>Bisoprolol (5 mg cap/tab) or alternative betablocker (atenolol or carvedilol or metoprolol only) </li> </ol> </td> <td> <p>NCD - Cardiovascular</p> </td> <td> <p><strong>Rationale: </strong></p> <p>Calcium channel blockers (CBB) are among the first-line treatment options for patients with hypertension. Amlodipine is the representative CCB in the WHO EML. </p> <p>ACEIs are among first-line treatment options for patients with hypertension. ACEIs are also used in the management of heart failure. Enalapril is the representative ACEI in the WHO EML.</p> <p>Thiazide diuretics are among the first-line treatment options for patients with hypertension. Thiazides are also used as the management of heart failure. Hydrochlorothiazide is the representative thiazide diuretic in the WHO EML.</p> <p>Beta-blockers are among the recommended treatment options for patients with hypertension, angina, cardiac arrhythmias or heart failure. Bisoprolol is the representative beta-blocker in the WHO EML. </p> <p><strong>Treatment References: </strong><a href="http://www.who.int/ncds/management/pen_tools/en/"><u>WHO PEN 5.b</u></a><u>, WHO </u><a href="http://apps.who.int/iris/bitstream/handle/10665/76173/9789241548397_eng.pdf"><u>Guidelines for primary health care in low-resource settings</u></a></p> <p><strong>More information in WHO EML 2017 Section Reference: </strong>12.3, 12.4</p> </td> </tr> <tr> <td> <p>Simvastatin (20 mg cap/tab) or other statin. Refer to ATC group C10AA.</p> </td> <td> <p>NCD - Cardiovascular</p> </td> <td> <p><strong>Rationale:</strong> Statins, lipid-lowering medicines, are used to reduce the risk of coronary heart disease, including fatal and non-fatal myocardial infarction and stroke. Simvastatin is the representative statin in the WHO EML.</p> <p><strong>Treatment References: </strong><a href="http://www.who.int/ncds/management/pen_tools/en/"><u>WHO PEN 5.b</u></a><strong>, </strong><u>WHO </u><a href="http://apps.who.int/iris/bitstream/handle/10665/76173/9789241548397_eng.pdf"><u>Guidelines for primary health care in low-resource settings</u></a></p> <p><strong>More information in WHO EML 2017 Section Reference: </strong>12.6</p> </td> </tr> <tr> <td> <p>Acetylsalicylic acid (aspirin) (100 mg cap/tab)</p> </td> <td> <p>NCD – Cardiovascular </p> </td> <td> <p><strong>Rationale:</strong> Aspirin, an anti-platelet medication, is recommended for preventing a first stroke, has an important role in preventing recurrent strokes, and can reduce the severity of an ischemic stroke. Low-dose aspirin has numerous therapeutic indications including anti-platelet therapy and can be used to reduce the risk of cardiovascular disease. </p> <p><strong>Treatment References: </strong><a href="http://www.who.int/ncds/management/pen_tools/en/"><u>WHO PEN 5.b</u></a></p> <p><strong>More information in WHO EML 2017 Section Reference: </strong>12.5</p> </td> </tr> <tr> <td> <p>Furosemide 40 mg tablet</p> </td> <td> <p>NCD - Cardiovascular</p> </td> <td> <p><strong>Rationale:</strong> Furosemide is a loop diuretic used in the treatment of oedema, congestive heart failure, and kidney disease. </p> <p><strong>Treatment References: WHO PEN 5.b </strong></p> <p><strong>More information in WHO EML 2017 Section Reference:</strong> 12.4</p> </td> </tr> <tr> <td> <p>Morphine (10mg tablet)</p> </td> <td> <p>Palliative care</p> </td> <td> <p><strong>Rationale:</strong> Morphine, an opioid analgesic, is the first-choice opioid for treatment of strong pain, including cancer pain. It is also recommended as a preoperative medication and sedation for short-term procedures. </p> <p><strong>Treatment References: </strong></p> <p><a href="http://apps.who.int/medicinedocs/en/d/Jh2929e/7.html"><u>WHO Model Prescribing Information: Drugs Used in Anaesthesia</u></a></p> <p><strong>More information in WHO EML 2017 Section Reference:</strong> 2.2,1.3</p> </td> </tr> <tr> <td> <p>Paracetamol (any strength)</p> </td> <td> <p>Pain and Palliative Care</p> </td> <td> <p><strong>Rationale: </strong>Paracetamol, also referred to as acetaminophen or APAP, is an analgesic and antipyretic that is used widely as a first-line treatment for mild to moderate pain and fever. It is also often found in combinations with other medications to treat a cold or for severe pain. In particular, it is the preferred analgesic for pregnant women.</p> <p><strong>Treatment References:</strong> <a href="http://apps.who.int/medicinedocs/en/d/Jh2929e/7.html"><u>WHO Model Prescribing Information: Drugs Used in Anaesthesia</u></a></p> <p><strong>More information in WHO EML 2017 Section Reference: </strong>2.1, 7.1</p> </td> </tr> <tr> <td> <p>Fluoxetine (20 mg cap/tab) or other selective serotonin reuptake inhibitor (SSRI)</p> </td> <td> <p>CNS</p> </td> <td> <p><strong>Rationale: </strong>SSRIs are among the most widely used drugs in the treatment of depressive disorders. Fluoxetine is recommended for use in depressive disorders and can be used to treat patients over 8 years old.</p> <p>SSRIs should be used as part of a comprehensive management plan. </p> <p><strong>Treatment References:</strong></p> <p><a href="http://www.who.int/mental_health/mhgap/evidence/depression/en/"><u>Evidence-based recommendations for management of depression in non-specialized health settings</u></a></p> <p><strong>More information in WHO EML 2017 Section Reference: </strong>24.2</p> </td> </tr> <tr> <td> <p>Phenytoin (100mg Tablet) or Carbamazepine (200 mg cap/tab)</p> </td> <td> <p>CNS</p> </td> <td> <p><strong>Rationale:</strong> Carbamazepine and phenytoin are anticonvulsant/antiepileptic medicines used in the management of generalized and partial seizures and neuropathic pain.</p> <p><strong>Treatment References: </strong></p> <p><a href="http://www.who.int/mental_health/mhgap/evidence/epilepsy/en/"><u>Evidence-based recommendations for management of epilepsy and seizures in non-specialized health settings</u></a></p> <p><strong>More information in WHO EML 2017 Section Reference:</strong> 5</p> </td> </tr> <tr> <td> <p>Gentamicin (40 mg/mL in 2mL vial)</p> </td> <td> <p>Anti-infective</p> </td> <td> <p><strong>Rationale:</strong> Gentamicin, an aminoglycoside antibiotic, is used for the systemic treatment of susceptible infections. It is classified as an ACCESS antibiotic in the WHO EML, signifying that it should widely available, affordable, and quality assured. It is the first-line treatment for community acquired pneumonia, complicated severe malnutrition, and neonatal sepsis, and second-line treatment for gonorrhoeae.</p> <p><strong>Treatment References: </strong></p> <p><a href="http://apps.who.int/medicinedocs/en/d/Js5406e/16.19.html"><u>WHO Model Prescribing Information: Drugs used in Bacterial Infections</u></a><u> </u></p> <p><strong>More information in WHO EML 2017 Section Reference:</strong> 6.2.2</p> </td> </tr> <tr> <td> <p>Amoxicillin (500mg cap/tab)</p> </td> <td> <p>Anti-infective</p> </td> <td> <p><strong>Rationale:</strong> Amoxicillin, a beta-lactam antibiotic, is used to treat a wide range of susceptible infections. It is classified as an ACCESS antibiotic in the WHO EML, signifying that it should widely available, affordable, and quality assured. It is the first-line treatment for specific infectious syndromes, including community acquired pneumonia, neonatal sepsis, lower urinary tract infections, and the second-line treatment for acute bacterial meningitis.</p> <p><strong>Treatment References: </strong></p> <p><a href="http://apps.who.int/medicinedocs/en/d/Js5406e/16.1.html"><u>WHO Model Prescribing Information: Drugs used in Bacterial Infections</u></a></p> <p><strong>More information in WHO EML 2017 Section Reference:</strong> 6.2.1</p> </td> </tr> <tr> <td> <p>Ceftriaxone (1g/vial Injection)</p> </td> <td> <p>Anti-infective</p> </td> <td> <p><strong>Rationale:</strong> Ceftriaxone, a third generation cephalosporin, is used for the systemic treatment of susceptible infections. It is classified as a WATCH in the WHO EML, signifying it higher resistance potential and recommendation for only a specific, limited number of indications. It is the first-line treatment for specific infectious syndromes including severe community acquired pneumonia, acute bacterial meningitis, and gonorrhoeae.</p> <p><strong>Treatment References:</strong></p> <p><a href="http://apps.who.int/medicinedocs/en/d/Js5406e/16.11.html"><u>WHO Model Prescribing Information: Drugs used in Bacterial Infections</u></a></p> <p><strong>More information in WHO EML 2017 Section Reference:</strong> 6.2.1</p> </td> </tr> <tr> <td> <p>Procaine benzylpenicillin (1G = 1MU Injection) or Benzathine benzylpenicillin (900mg=1.2 MIU or 1.44g = 2.4MIU) injection</p> </td> <td> <p>Anti-infective</p> </td> <td> <p><strong>Rationale:</strong> Procaine benzylpenicillin, a beta-lactam antibiotic, is used to treat syphilis in adults and children. It is classified as an ACCESS antibiotic in the WHO EML, signifying that it should widely available, affordable, and quality assured.</p> <p><strong>Treatment References: </strong></p> <p><a href="http://apps.who.int/medicinedocs/en/d/Js5406e/16.6.html"><u>WHO Model Prescribing Information: Drugs used in Bacterial Infections</u></a></p> <p><strong>More information in WHO EML 2017 Section Reference:</strong> 6.2.1</p> </td> </tr> <tr> <td> <p>One of the following contraceptives:</p> <ol> <li>Ethinylestradiol + levonorgestrel: tablet 30 mcg + 150 mcg (or alternative combined oral contraceptive)</li> <li>Levonorgestrel 30 microgram tablet. </li> <li>Medroxyprogesterone acetate injection IM 150 mg/mL or SC 104 mg/0.65mL</li> <li>Progesterone-releasing implant (etonogestrel 68 mg or levonorgestrel 150 mg)</li> <li>Levonorgestrel 750 mcg or 1.5 mg tablet</li> </ol> </td> <td> <p>MCH</p> </td> <td> <p><strong>Rationale: </strong>Promotion of family planning – and ensuring access to preferred contraceptive methods for women and couples – is essential to securing the well-being and autonomy of women, while supporting the health and development of communities. Access to contraceptives can reduce infant and maternal mortality rates associated with closely spaced and ill-timed pregnancies. Additionally, contraceptives have be included on the WHO EML since its inception and are also listed as life-saving commodities by the UN Commission on Life-Saving Commodities for Women and Children. </p> <p><strong>Treatment References: </strong><a href="http://apps.who.int/iris/bitstream/handle/10665/181468/9789241549158_eng.pdf;jsessionid=0B133D3AD9912240BE31344EAC19187C?sequence=1"><u>Medical eligibility criteria for contraceptive use</u></a></p> <p><strong>More information in WHO EML 2017 Section Reference: </strong>18.3</p> </td> </tr> <tr> <td> <p>Oral rehydration (salts 1 litre)</p> </td> <td> <p>MCH </p> </td> <td> <p><strong>Rationale:</strong> Oral rehydration salts (ORS), solutions containing sodium, potassium, citrate, and glucose, are used to replace fluid and electrolytes orally. ORS is used to treat acute diarrhoea in children to prevent or treat dehydration. </p> <p><strong>Treatment References: </strong></p> <p><a href="http://www.who.int/maternal_child_adolescent/documents/a85500/en/"><u>Diarrhoea treatment guidelines including new recommendations for the use of ORS and zinc supplementation for clinic-based healthcare workers</u></a></p> <p><strong>More information in WHO EML 2017 Section Reference:</strong> 26.1</p> </td> </tr> <tr> <td> <p>Zinc sulphate (20mg dispersible tablet)</p> </td> <td> <p>MCH </p> </td> <td> <p><strong>Rationale:</strong> Zinc supplements are recommended to reduce the severity and duration of acute diarrhoea. If given for 10 to 14 days, zinc also reduces the incidence of new episodes of diarrhoea in the 2 to 3 months following treatment.</p> <p><strong>Treatment References: </strong></p> <p><a href="http://www.who.int/maternal_child_adolescent/documents/a85500/en/"><u>Diarrhoea treatment guidelines including new recommendations for the use of ORS and zinc supplementation for clinic-based healthcare workers</u></a></p> <p><strong>More information in WHO EML 2017 Section Reference:</strong> 17.5.2</p> </td> </tr> <tr> <td> <p>Oxytocin (5iu or 10iu injection)</p> </td> <td> <p>MCH </p> </td> <td> <p><strong>Rationale:</strong> Oxytocin, a peptide hormone, is used for the prevention and treatment of postpartum and post-abortion haemorrhage in emergency situations. It is the recommended that all women giving birth should be offered uterotonic drugs, such as oxytocin, during the third stage of labour for the prevention of PPH.</p> <p><strong>Treatment References: </strong><a href="http://apps.who.int/iris/bitstream/handle/10665/75411/9789241548502_eng.pdf"><u>WHO Recommendations for the Prevention and Treatment of Postpartum Haemorrhage</u></a><u>, </u><a href="https://www.unfpa.org/sites/default/files/pub-pdf/Key%20Data%20and%20Findings%20Maternal%20Health%20Medicines-FINAL.pdf"><u>UNFPA Medicines for Maternal Health</u></a></p> <p><strong>More information in WHO EML 2017 Section Reference:</strong> 22.1</p> </td> </tr> <tr> <td> <p>Magnesium sulphate 50% 10ml Injection</p> </td> <td> <p>MCH </p> </td> <td> <p><strong>Rationale:</strong> Magnesium sulfate, an anticonvulsant, is used in the management and prevention of recurrent seizures in eclampsia and pre-eclampsia.</p> <p><strong>Treatment References: </strong></p> <p><a href="https://extranet.who.int/rhl/topics/preconception-pregnancy-childbirth-and-postpartum-care/medical-problems-during-pregnancy/who-recommendation-magnesium-sulfate-prevention-eclampsia-women-severe-pre-eclampsia"><u>WHO recommendation on magnesium sulfate for the prevention of eclampsia in women with severe pre-eclampsia</u></a><u>, </u><a href="https://www.unfpa.org/sites/default/files/pub-pdf/Key%20Data%20and%20Findings%20Maternal%20Health%20Medicines-FINAL.pdf"><u>UNFPA Medicines for Maternal Health</u></a></p> <p><strong>More information in WHO EML 2017 Section Reference:</strong> 5</p> </td> </tr> <tr> <td> <p>Folic acid</p> </td> <td> <p>MCH </p> </td> <td> <p><strong>Rationale:</strong> Single-agent folic acid is important for the prevention of neural tube defects and should be taken periconceptionally and in first trimester of pregnancy. </p> <p><strong>Treatment References: </strong><a href="http://www.who.int/elena/titles/folate_periconceptional/en/"><u>WHO recommendation on periconceptional folic acid supplementation to prevent neural tube defects</u></a></p> <p><strong>More information in WHO EML 2017 Section Reference:</strong> 10.1</p> </td> </tr> <tr> <td> <p>Artemisinin-based combination therapy (ACT) for treatment of uncomplicated <em>P. falciparum</em> malaria.</p> <p>One of the following:</p> <ol> <li>Artemether+lumefantrine (20/120 mg cap/tab)</li> <li>Artesunate+amodiaquine (any strength)</li> <li>Artesunate+mefloquine (any strength)</li> <li>Dihydroartemisinin+piperaquine (any strength)</li> <li>Artesunate+sulfadoxine-pyrimethamine (50 mg+500mg/25mg)</li> </ol> </td> <td> <p>Anti-malarial</p> </td> <td> <p><strong>Rationale:</strong> WHO Guidelines recommend treating adults and children with uncomplicated <em>P. falciparum</em> malaria with artemisinin-based combination therapy (strong recommendation, high-quality evidence). </p> <p><strong>Treatment References: </strong><a href="http://apps.who.int/iris/bitstream/handle/10665/162441/9789241549127_eng.pdf"><u>WHO Guidelines for the Treatment of Malaria</u></a></p> <p><strong>More information in WHO EML 2017 Section Reference:</strong> 6.5.3.1</p> </td> </tr> <tr> <td> <p>Artesunate (60 mg injection or 100 mg rectal dose form)</p> </td> <td> <p>Anti-malarial</p> </td> <td> <p><strong>Rationale:</strong> IM or rectal artesunate is recommended pre-referral treatment of suspected cases of severe malaria pending transfer to a higher level facility.</p> <p><strong>Treatment References: </strong><a href="http://apps.who.int/iris/bitstream/handle/10665/162441/9789241549127_eng.pdf"><u>WHO Guidelines for the Treatment of Malaria</u></a></p> <p><strong>More information in WHO EML 2017 Section Reference:</strong> 6.5.3.1</p> </td> </tr> <tr> <td> <p>Combination anti-retroviral therapy for first line treatment of HIV </p> <p>One of the following combinations individually for concomitant use or in fixed-dose combination:</p> <p>1. Efavirenz (400 mg or 600 mg) + Emtricitabine (200 mg) + Tenofovir disoproxil fumarate (300 mg)</p> <p>2. Efavirenz (400 mg or 600 mg) + Lamivudine (300 mg) + Tenofovir disoproxil fumarate (300 mg)</p> </td> <td> <p>Antiretroviral</p> </td> <td> <p><strong>Rationale:</strong> Efavirenz/Emtricitabine/Tenofovir is the preferred fixed-dose combination antiretroviral therapies for treatment of HIV in adults, pregnant or breastfeeding women, and adolescents. </p> <p><strong>Treatment References: </strong><a href="http://apps.who.int/iris/bitstream/handle/10665/208825/9789241549684_eng.pdf"><u>WHO Consolidated Guidelines on the Use of Antiretroviral Drugs for Treating and Preventing HIV Infection</u></a></p> <p><strong>More information in WHO EML 2017 Section Reference:</strong> 6.4.2.4</p> </td> </tr> <tr> <td> <p>Ibuprofen (200mg tablet)</p> </td> <td> <p>Pain and Palliative Care</p> </td> <td> <p><strong>Rationale:</strong> Ibuprofen, a non-steroidal anti-inflammatory drug, is a first choice medicine in the treatment of mild pain. </p> <p><strong>Treatment References: </strong><a href="file:///C:\Users\nanneic\AppData\Local\Microsoft\Windows\Temporary%20Internet%20Files\Content.Outlook\HUJABWIN\Treatment%20References:%20http:\apps.who.int\iris\bitstream\handle\10665\44540\9789241548120_Guidelines.pdf;jsessionid=6AF4E039A5576A8C77618EBA7AD07D68%3fsequence=1"><u>WHO Guidelines on the pharmacological treatment of persisting pain in children with medical illnesses</u></a></p> <p><strong>More information in WHO EML 2017 Section Reference:</strong> 2.1</p> </td> </tr> <tr> <td> <p>Chlorhexidine </p> <p>Solution or gel: 7.1% (digluconate) delivering 4% chlorhexidine</p> </td> <td> <p>Neonatal care</p> </td> <td> <p><strong>Rationale:</strong> A recommended antiseptic that should be applied to the umbilical cord in cases of unclean delivery, and if the traditional practices in place increase the risk of cord infection</p> <p><strong>Treatment References: </strong><a href="http://www.who.int/selection_medicines/committees/subcommittee/2/chlorhexidine.pdf?ua=1"><u>Review of the available evidence on 4% chlorhexidine solution for umbilical cord care</u></a></p> <p><strong>More information in WHO EML 2017 Section Reference:</strong> 29.1</p> </td> </tr> <tr> <td> <p>Ready-to-use therapeutic food (RUTF),</p> <p>paste or spread (1 sachet = 92 g [500 Kcal]) </p> <p>or</p> <p>biscuit (28.4g, 500 kcal per 100g)</p> </td> <td> <p>Nutrition</p> </td> <td> <p><strong>Rationale:</strong> Energy-dense, micronutrient enhanced pastes used in therapeutic feeding for the community-based management of children who are suffering from uncomplicated severe acute malnutrition and who retain an appetite. Is provided as the therapeutic food in the rehabilitation phase (following F-75 in the stabilization phase)</p> <p><strong>Treatment References:</strong> <a href="http://apps.who.int/iris/bitstream/handle/10665/95584/9789241506328_eng.pdf?sequence=1"><u>WHO Guideline: Updates on the management of severe acute malnutrition in infants and children. 2013</u></a></p> <p><strong>More information in WHO EML 2017:</strong> Not currently included</p> </td> </tr> <tr> <td> <p>Isoniazid + pyrazinamide + rifampicin (50 mg + 150 mg + 75 mg)</p> </td> <td> <p>Antituberculosis</p> </td> <td> <p><strong>Rationale: </strong>Isoniazid + pyrazinamide + rifampicin is recommended as fixed-dose combination therapy for the intensive phase of treatment of drug-susceptible tuberculosis in children.</p> <p><strong>Treatment References: </strong><u><a href="http://apps.who.int/medicinedocs/documents/s21535en/s21535en.pdf">Guidance for national tuberculosis programmes on the</a></u></p> <p><u><a href="http://apps.who.int/medicinedocs/documents/s21535en/s21535en.pdf">management of tuberculosis in children, 2014</a></u></p> <p><strong>More information in WHO EML 2017 Section Reference:</strong> 6.2.4</p> </td> </tr> <tr> <td> <p>Erythropoiesis - stimulating agents.</p> <p>One of the following:</p> <ol> <li>Epoetin alfa (2,000 IU/mL)</li> <li>Darbepoetin alfa (100 mcg/mL)</li> </ol> </td> <td> <p>Chronic kidney disease</p> </td> <td> <p><strong>Rationale: </strong>Erythropoiesis-stimulating agents are recommended for treatment of anaemia of chronic kidney disease in children, young</p> <p>people and adult patients with chronic renal disease requiring dialysis.</p> <p><strong>Treatment References: </strong><u><a href="https://www.who.int/selection_medicines/committees/expert/21/applications/s10_erythropoietins_add.pdf?ua=1">WHO EML 2016-2017 - Application for erythropoietin-stimulating agents </a></u></p> <p><u><a href="https://www.who.int/selection_medicines/committees/expert/21/applications/s10_erythropoietins_add.pdf?ua=1">(erythropoietin type blood factors)</a></u></p> <p><strong>More information in WHO EML 2017 Section Reference:</strong> 10.1</p> </td> </tr> <tr> <td colspan="3"> <p><strong>Suggested for monitoring (optional for countries) *</strong></p> </td> </tr> <tr> <td> <p>One of the following: </p> <ol> <li>Epinephrine injection 1 mg (as hydrochloride or hydrogen tartrate) in 1- mL ampoule </li> <li>Dexamethasone injection 4 mg/ mL in 1- mL ampoule (as disodium phosphate salt)</li> </ol> </td> <td> <p>Antiallergics and medicine used in anaphylaxis </p> </td> <td> <p><strong>Rationale:</strong> Epinephrine (adrenaline) is the first line treatment for a severe allergic reaction. During anaphylactic shock, it must be administered through an intramuscular injection. </p> <p>Dexamethasone is a corticosteroid that prevents almost all symptoms of inflammation associated with allergy. It can also be used during emergency anaphylactic shock.</p> <p><strong>Treatment References: </strong><a href="http://www.who.int/selection_medicines/committees/expert/19/applications/Histamine_3_AC_R.pdf"><u>WHO Antiallergics and Medicine Use in Anaphylaxis</u></a><strong> </strong></p> <p><strong>More information in WHO EML 2017 Section Reference:</strong> 3</p> </td> </tr> <tr> <td> <ol> <li>Fluconazole (50 mg cap/tab) and</li> <li>Nystatin (tablet 500 000 IU)</li> </ol> </td> <td> <p>Anti-fungal drugs</p> </td> <td> <p><strong>Rationale:</strong></p> <p>Nystatin is an antifungal polyene antibiotic that is effective against infections caused by a wide range of yeasts and yeasts-like fungi. It is used for the treatment of oral, oesophageal and intestinal candidosis.</p> <p>Fluconazole is an orally active imidazole antifungal agent with activity against dermatophytes, yeasts, and other pathogenic fungi.</p> <p>It is widely used in the treatment of serious gastrointestinal and systemic mycoses as well as in the management of superficial infections. Fluconazole is also used to prevent fungal infections in immunocompromised patients.</p> <p><strong>Treatment References</strong>: <a href="http://www.who.int/selection_medicines/list/WMF2008.pdf?ua=1"><u>WHO Model Formulary 2008</u></a></p> <p><a href="http://apps.who.int/medicinedocs/en/d/Js2215e/9.13.html"><u>WHO Model Prescribing Information</u></a></p> <p><a href="http://apps.who.int/iris/bitstream/handle/10665/37143/9241401052.pdf?sequence=1&isAllowed=y"><u>Drugs used in sexually transmitted diseases</u></a></p> <p><strong>More information in WHO EML 2017 Section Reference:</strong> 6.3</p> </td> </tr> <tr> <td> <p>Levothyroxine (tablet 50 micrograms)</p> </td> <td> <p>Thyroid hormones</p> </td> <td> <p><strong>Rationale:</strong></p> <p>Levothyroxine is used for the management of hypothyroidism, diffuse non-toxic goitre, Hashimoto thyroiditis and thyroid cancer.</p> <p><strong>Treatment References</strong>: <a href="http://www.who.int/selection_medicines/list/WMF2008.pdf?ua=1"><u>WHO Model Formulary 2008</u></a></p> <p><strong>More information in WHO EML 2017 Section Reference:</strong> 18.8</p> </td> </tr> </tbody> </table> <p>Annex 1: Basket of core set of relevant essential medicines for primary health care and related disease category </p> <p><strong>Table 1. Basket of core set of relevant essential medicines for primary health care</strong></p> <p><strong>*</strong> These additional medicines were suggested for monitoring during the consultations with WHO regional advisers and WHO Member States, however they do not represent major burden of disease in countries and cannot be weighted according to the same procedure as the mandatory list. </p> <p><strong>Table 2. Diseases treated with the medicines in the core list</strong></p> <table> <tbody> <tr> <td> <p><strong>Medicine name </strong></p> </td> <td> <p><strong>Affiliated disease (code of the diseases according to the ICD-11 classification) </strong></p> </td> </tr> <tr> <td> <p>Salbutamol </p> </td> <td> <p><strong>→</strong> Asthma (1190)</p> <p><strong>→</strong> Chronic obstructive pulmonary disease (1180)</p> </td> </tr> <tr> <td> <p>Beclometasone or other corticosteroid inhaler</p> </td> <td> <p><strong>→</strong> Asthma (1190)</p> </td> </tr> <tr> <td> <p>Gliclazide or other sulfonylurea</p> </td> <td rowspan="3"> <p><strong>→</strong> Diabetes mellitus (800)</p> </td> </tr> <tr> <td> <p>Metformin </p> </td> </tr> <tr> <td> <p>Insulin regular, soluble</p> </td> </tr> <tr> <td> <p>Amlodipine </p> </td> <td> <p><strong>→</strong> Hypertensive heart disease (1120)</p> </td> </tr> <tr> <td> <p>Enalapril or other angiotensin converting enzyme inhibitor </p> </td> <td rowspan="2"> <p><strong>→</strong> Hypertensive heart disease (1120)</p> <p><strong>→ </strong>Cardiomyopathy, myocarditis, endocarditis (1150)</p> </td> </tr> <tr> <td> <p>Hydrochlorothiazide or Chlorthalidone</p> </td> </tr> <tr> <td> <p>Bisoprolol or alternative betablocker (atenolol or carvedilol or metoprolol only) </p> </td> <td> <p><strong>→</strong> Hypertensive heart disease (1120)</p> <p><strong>→</strong> Ischaemic heart disease (1130)</p> <p><strong>→ </strong>Other circulatory diseases (1160)</p> <p><strong>→ </strong>Cardiomyopathy, myocarditis, endocarditis (1150)</p> </td> </tr> <tr> <td> <p>Furosemide </p> </td> <td> <p><strong>→ </strong>Cardiomyopathy, myocarditis, endocarditis (1150)</p> </td> </tr> <tr> <td> <p>Simvastatin or other statin </p> </td> <td> <p><strong>→</strong> Ischaemic heart disease (1130)</p> <p><strong>→</strong> Stroke (1140)</p> </td> </tr> <tr> <td> <p>Acetylsalicylic acid (aspirin)</p> </td> <td> <p><strong>→</strong> Ischaemic heart disease (1130)</p> </td> </tr> <tr> <td> <p>Morphine</p> </td> <td> <p><strong>→ </strong>Malignant neoplasms (610)</p> </td> </tr> <tr> <td> <p>Paracetamol</p> </td> <td> <p><strong>→ </strong>weight =<strong> </strong>1/T</p> </td> </tr> <tr> <td> <p>Ibuprofen</p> </td> <td> <p><strong>→ </strong>weight =<strong> </strong>1/T</p> </td> </tr> <tr> <td> <p>Fluoxetine or other selective serotonin reuptake inhibitor </p> </td> <td> <p><strong>→</strong> Depressive disorders (830)</p> </td> </tr> <tr> <td> <p>Phenytoin or Carbamazepine </p> </td> <td> <p><strong>→</strong> Epilepsy (970)</p> </td> </tr> <tr> <td> <p>Gentamicin</p> </td> <td> <p><strong>→ </strong>Lower respiratory infections (390)</p> <p><strong>→ </strong>Infectious and parasitic diseases (20)</p> </td> </tr> <tr> <td> <p>Amoxicillin</p> </td> <td rowspan="3"> <p><strong>→ </strong>Infectious and parasitic diseases (20)</p> </td> </tr> <tr> <td> <p>Ceftriaxone</p> </td> </tr> <tr> <td> <p>Procaine benzylpenicillin or Benzathine benzylpenicillin</p> </td> </tr> <tr> <td> <p>Ethinylestradiol + levonorgestrel (or alternative combined oral contraceptive)</p> </td> <td rowspan="4"> <p><strong>→ </strong>Maternal conditions (420)</p> </td> </tr> <tr> <td> <p>Medroxyprogesterone acetate injection </p> </td> </tr> <tr> <td> <p>Progesterone-releasing implant (etonogestrel or levonorgestrel)</p> </td> </tr> <tr> <td> <p>Levonorgestrel</p> </td> </tr> <tr> <td> <p>Oral rehydration</p> </td> <td rowspan="2"> <p><strong>→ </strong>Diarrhoeal diseases (110)</p> </td> </tr> <tr> <td> <p>Zinc sulphate</p> </td> </tr> <tr> <td> <p>Oxytocin</p> </td> <td> <p><strong>→ </strong>Maternal conditions (420)</p> </td> </tr> <tr> <td> <p>Magnesium sulphate</p> </td> <td> <p><strong>→ </strong>Epilepsy (970)</p> </td> </tr> <tr> <td> <p>Folic acid</p> </td> <td> <p><strong>→ </strong>Iron-deficiency anaemia (580)</p> </td> </tr> <tr> <td> <p>Artemether+lumefantrine</p> </td> <td rowspan="6"> <p><strong>→ </strong>Malaria (220)</p> </td> </tr> <tr> <td> <p>Artesunate+amodiaquine</p> </td> </tr> <tr> <td> <p>Artesunate+mefloquine</p> </td> </tr> <tr> <td> <p>Dihydroartemisinin+piperaquine</p> </td> </tr> <tr> <td> <p>Artesunate+sulfadoxine-pyrimethamine</p> </td> </tr> <tr> <td> <p>Artesunate</p> </td> </tr> <tr> <td> <p>Efavirenz + Emtricitabine + Tenofovir disoproxil fumarate</p> </td> <td rowspan="2"> <p><strong>→ </strong>HIV/AIDS (100)</p> </td> </tr> <tr> <td> <p>Efavirenz + Lamivudine + Tenofovir disoproxil fumarate </p> </td> </tr> <tr> <td> <p>Chlorhexidine</p> </td> <td> <p><strong>→ </strong>Neonatal sepsis and infections (520)</p> </td> </tr> <tr> <td> <p>Ready-to-use therapeutic food (RUTF)</p> </td> <td> <p><strong>→ </strong>Nutritional deficiencies (540)</p> </td> </tr> <tr> <td> <p>Isoniazid + pyrazinamide + rifampicin</p> </td> <td> <p><strong>→</strong> Tuberculosis (30)</p> </td> </tr> <tr> <td> <p>Erythropoiesis - stimulating agents</p> </td> <td> <p><strong>→ </strong>Other chronic kidney disease (1273)</p> </td> </tr> <tr> <td colspan="2"> <p>Suggested for monitoring (optional)</p> </td> </tr> <tr> <td> <p>Epinephrine or Dexamethasone </p> </td> <td rowspan="4"> <p><strong>→ </strong>weight =<strong> 0.5*(</strong>1/T)</p> </td> </tr> <tr> <td> <p>Fluconazole </p> </td> </tr> <tr> <td> <p>Nystatin</p> </td> </tr> <tr> <td> <p>Levothyroxine</p> </td> </tr> </tbody> </table> <p>Annex 2. Calculation of weights</p> <p>Weights are region-specific, and the sum of the weights assigned to medicines in the basket is always equal to “1” in a given region. Since some of the medicines are weighted not according to the DALYs but according to the formula in points iii. and iv. above, the weights have to be normalized so that their sum is equal to “1”.</p> <p>WHO regional data on disease burden is computed and published for 5-year intervals (e.g. 2000, 2005, 2010 and 2015 for now). As a result, for data points falling between the reference years for which DALY estimates are available the closest reference year is used to calculate medicines’ weights (either previous or following) (<em>Figure 1</em>). </p> <p>Figure 2.1. Selection of data year for computing medicine weights</p> <p><img src="data:image/png;base64,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"></p> <p>Two versions of weights are computed: one capturing 32 medicines (excluding optional medicines) and the other capturing 36 medicines (including optional medicines). For countries where the distribution of specific medicines is calculated only in specialized facilities (for example injectable medicines are provided only in hospitals), WHO suggests computing two versions of weights (1 – for pharmacies and other non-tertiary health care facilities based on a shorter list of medicines that exclude the mentioned medicines and 2 – for hospitals that includes the full list of medicines).</p> <p><img 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"></p> 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"></p> <p>.</p> <p>Annex 3: Basket of core set of relevant essential medicines for primary health care: number of units and duration per treatment</p> <table> <tbody> <tr> <td> <p><strong><u>Medicine</u></strong></p> </td> <td> <p><strong><u>Dose</u></strong></p> </td> <td> <p><strong><u>Duration</u></strong></p> </td> <td> <p><strong><u>Units</u></strong></p> </td> </tr> <tr> <td> <p>Salbutamol </p> </td> <td> <p>100 mcg/dose inhaler</p> </td> <td> <p>30</p> </td> <td> <p>30</p> </td> </tr> <tr> <td> <p>Beclometasone </p> </td> <td> <p>100 mcg/dose inhaler</p> </td> <td> <p>30</p> </td> <td> <p>60</p> </td> </tr> <tr> <td> <p>Gliclazide </p> </td> <td> <p>80 mg cap/tab</p> </td> <td> <p>30</p> </td> <td> <p>30</p> </td> </tr> <tr> <td> <p>Metformin </p> </td> <td> <p>500 mg cap/tab <strong><u>OR</u></strong> 850 mg cap/tab OR 1 g cap/tab</p> </td> <td> <p>30</p> </td> <td> <p>90</p> </td> </tr> <tr> <td> <p>Insulin regular, soluble </p> </td> <td> <p>100 IU/ml injection</p> </td> <td> <p>30</p> </td> <td> <p>90</p> </td> </tr> <tr> <td> <p>Amlodipine </p> </td> <td> <p>5 mg cap/tab</p> </td> <td> <p>30</p> </td> <td> <p>30</p> </td> </tr> <tr> <td> <p>Enalapril </p> </td> <td> <p>5 mg cap/tab</p> </td> <td> <p>30</p> </td> <td> <p>30</p> </td> </tr> <tr> <td> <p>Hydrochlorothiazide </p> </td> <td> <p>25 mg cap/tab</p> </td> <td> <p>30</p> </td> <td> <p>30</p> </td> </tr> <tr> <td> <p>Chlorthalidone </p> </td> <td> <p>25 mg cap/tab</p> </td> <td> <p>30</p> </td> <td> <p>15</p> </td> </tr> <tr> <td> <p>Bisoprolol </p> </td> <td> <p>5 mg cap/tab</p> </td> <td> <p>30</p> </td> <td> <p>30</p> </td> </tr> <tr> <td> <p>Simvastatin </p> </td> <td> <p>20 mg cap/tab</p> </td> <td> <p>30</p> </td> <td> <p>30</p> </td> </tr> <tr> <td> <p>Acetylsalicylic acid (aspirin)</p> </td> <td> <p>100 mg cap/tab</p> </td> <td> <p>30</p> </td> <td> <p>30</p> </td> </tr> <tr> <td> <p>Morphine </p> </td> <td> <p>10mg cap/tab</p> </td> <td> <p>30</p> </td> <td> <p>180</p> </td> </tr> <tr> <td> <p>Paracetamol </p> </td> <td> <p>500 mg tab/cap</p> </td> <td> <p>30</p> </td> <td> <p>180</p> </td> </tr> <tr> <td> <p>Fluoxetine </p> </td> <td> <p>20 mg cap/tab</p> </td> <td> <p>30</p> </td> <td> <p>30</p> </td> </tr> <tr> <td> <p>Phenytoin </p> </td> <td> <p>100mg cap/tab</p> </td> <td> <p>30</p> </td> <td> <p>90</p> </td> </tr> <tr> <td> <p>Carbamazepine </p> </td> <td> <p>200 mg cap/tab</p> </td> <td> <p>30</p> </td> <td> <p>150</p> </td> </tr> <tr> <td> <p>Gentamicin </p> </td> <td> <p>40 mg/mL in 2mL vial</p> </td> <td> <p>3</p> </td> <td> <p>15</p> </td> </tr> <tr> <td> <p>Amoxicillin for adults </p> </td> <td> <p>500mg cap/tab</p> </td> <td> <p>7</p> </td> <td> <p>21</p> </td> </tr> <tr> <td> <p>Ceftriaxone </p> </td> <td> <p>1g/vial Injection</p> </td> <td> <p>1</p> </td> <td> <p>1</p> </td> </tr> <tr> <td> <p>Procaine benzylpenicillin </p> </td> <td> <p>1G = 1MU Injection</p> </td> <td> <p>10</p> </td> <td> <p>10</p> </td> </tr> <tr> <td> <p>Benzathine benzylpenicillin </p> </td> <td> <p>900mg=1.2 MIU <strong><u>OR</u></strong> 1.44g = 2.4MIU injection</p> </td> <td> <p>1</p> </td> <td> <p>1 or 2</p> </td> </tr> <tr> <td> <p>Ethinylestradiol + levonorgestrel</p> </td> <td> <p>30 mcg cap/tab + 150 mcg cap/tab</p> </td> <td> <p>28</p> </td> <td> <p>21</p> </td> </tr> <tr> <td> <p>Levonorgestrel</p> </td> <td> <p>30 mcg cap/tab</p> </td> <td> <p>28</p> </td> <td> <p>28</p> </td> </tr> <tr> <td> <p>Medroxyprogesterone acetate injection </p> </td> <td> <p>IM 150 mg/mL <strong><u>OR</u></strong> SC 104 mg/0.65mL</p> </td> <td> <p>84</p> </td> <td> <p>1</p> </td> </tr> <tr> <td> <p>Progesterone-releasing implant: Etonogestrel OR Levonorgestrel</p> </td> <td> <p>Etonogestrel 68 mg OR Levonorgestrel 150 mg</p> </td> <td> <p>3 or 5 years</p> </td> <td> <p>1</p> </td> </tr> <tr> <td> <p>Levonorgestrel </p> </td> <td> <p>750 mcg <strong><u>OR</u></strong> 1.5 mg tablet</p> </td> <td> <p>1</p> </td> <td> <p>2 or 1 </p> </td> </tr> <tr> <td> <p>Oral rehydration salts</p> </td> <td> <p>1 litre</p> </td> <td> <p>1</p> </td> <td> <p>3</p> </td> </tr> <tr> <td> <p>Zinc sulphate </p> </td> <td> <p>20mg dispersible tablet</p> </td> <td> <p>14</p> </td> <td> <p>14</p> </td> </tr> <tr> <td> <p>Oxytocin </p> </td> <td> <p>5iu or 10iu injection</p> </td> <td> <p>1</p> </td> <td> <p>1</p> </td> </tr> <tr> <td> <p>Magnesium sulphate </p> </td> <td> <p>50% 10ml Injection</p> </td> <td> <p>1</p> </td> <td> <p>2</p> </td> </tr> <tr> <td> <p>Folic acid</p> </td> <td> <p>400 mcg tablet</p> </td> <td> <p>30</p> </td> <td> <p>30</p> </td> </tr> <tr> <td> <p>Artemether+lumefantrine </p> </td> <td> <p>20/120 mg cap/tab</p> </td> <td> <p>3</p> </td> <td> <p>24</p> </td> </tr> <tr> <td> <p>Artesunate+amodiaquine </p> </td> <td> <p>100 mg + 270 mg</p> </td> <td> <p>3</p> </td> <td> <p>6</p> </td> </tr> <tr> <td> <p>Artesunate+mefloquine </p> </td> <td> <p>100 mg + 220 mg</p> </td> <td> <p>3</p> </td> <td> <p>6</p> </td> </tr> <tr> <td> <p>Dihydroartemisinin+piperaquine </p> </td> <td> <p>40 mg + 320 mg</p> </td> <td> <p>3</p> </td> <td> <p>9</p> </td> </tr> <tr> <td> <p>Artesunate+sulfadoxine-pyrimethamine </p> </td> <td> <p>200 mg + 1500mg + 75mg</p> </td> <td> <p>3</p> </td> <td> <p>3 + 1</p> </td> </tr> <tr> <td> <p>Artesunate </p> </td> <td> <p>60 mg injection <strong><u>OR</u></strong> 100 mg rectal dose form</p> </td> <td> <p>1</p> </td> <td> <p>1</p> </td> </tr> <tr> <td> <p>Efavirenz + Emtricitabine + Tenofovir disoproxil fumarate</p> </td> <td> <p> 400 mg OR 600 mg + 200 mg + 300 mg</p> </td> <td> <p>30</p> </td> <td> <p>30</p> </td> </tr> <tr> <td> <p>Efavirenz + Lamivudine + Tenofovir disoproxil fumarate</p> </td> <td> <p>400 mg or 600 mg + 300 mg + 300 mg</p> </td> <td> <p>30</p> </td> <td> <p>30</p> </td> </tr> <tr> <td> <p>Ibuprofen for adults </p> </td> <td> <p>200mg cap/tab</p> </td> <td> <p>30</p> </td> <td> <p>60</p> </td> </tr> <tr> <td> <p>Furosemide </p> </td> <td> <p>40 mg cap/tab</p> </td> <td> <p>30</p> </td> <td> <p>30</p> </td> </tr> <tr> <td> <p>Epinephrine</p> </td> <td> <p>1 mg injection</p> </td> <td> <p>1</p> </td> <td> <p>0.5</p> </td> </tr> <tr> <td> <p>Dexamethasone</p> </td> <td> <p>injection 4 mg/ mL in 1- mL ampoule (as disodium phosphate salt)</p> </td> <td> <p>1</p> </td> <td> <p>1</p> </td> </tr> <tr> <td> <p>Fluconazole </p> </td> <td> <p>50 mg cap/tab (depending on indication)</p> </td> <td> <p> </p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p>Nystatin </p> </td> <td> <p>tablet 500 000 IU</p> </td> <td> <p>2</p> </td> <td> <p>8</p> </td> </tr> <tr> <td> <p>Levothyroxine </p> </td> <td> <p>tablet 50 micrograms</p> </td> <td> <p>30</p> </td> <td> <p>60</p> </td> </tr> <tr> <td> <p>Chlorhexidine</p> </td> <td> <p>Solution or gel: 7.1% (digluconate) delivering 4% chlorhexidine</p> </td> <td> <p>7</p> </td> <td> <p>1</p> </td> </tr> <tr> <td> <p>Ready-to-use therapeutic food (RUTF)</p> </td> <td> <p>paste or spread (1 sachet = 92 g [500 Kcal]) <strong><u>OR</u></strong></p> <p>biscuit (28.4g, 500 kcal per 100g)</p> </td> <td> <p>30</p> </td> <td> <p>150 - 220 kcal/kg per day</p> </td> </tr> <tr> <td> <p>Isoniazid + pyrazinamide + rifampicin</p> </td> <td> <p>50 mg + 150 mg + 75 mg</p> </td> <td> <p>30</p> </td> <td> <p>30 (60, 90 or 120)</p> </td> </tr> <tr> <td> <p>Epoetin alfa</p> </td> <td> <p>2,000 IU/mL</p> </td> <td> <p>12</p> </td> <td> <p>50 units/kg</p> </td> </tr> </tbody> </table> <p>Annex 4 – Combination of availability and affordability</p> <p>As an example, consider a simplified case of access to a basket of three medicines (<em>Figure 2</em>). In the matrix:</p> <ul> <li>“1” indicates that a medicine is available or is affordable. </li> <li>“0” indicates that a medicine is not available or not affordable. In other words, “0” in the matrix indicates that the dimension is deprived. </li> <li>“.” indicates cases when medicine is not available and consequently affordability of medicine is not measured. In other words, information on prices cannot be collected when a medicine is not found by the interviewer in the facility. </li> </ul> <p><strong>Figure 4.1.</strong> Achievement matrix on access to medicine (two dimensions)</p> <p><img src="data:image/png;base64,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"></p> <p>In this basket the 1<sup>st</sup> medicine is fully accessible (i.e. it is both available and affordable), the 2<sup>nd</sup> medicine is partially accessible (i.e. it is available but not affordable), while the 3<sup>rd</sup> medicine is inaccessible (i.e. it is not available and thus it is not possible to collect information on prices).</p> <p>In this example, the first medicine is accessible and the third medicine is not. However, the second medicine is partially deprived indicating that specific policies applied in the country may be effective for availability of the medicine but not for its affordability. Applying the union identification approach by S. Alkire and G. Robles that treats elements (medicines) in the matrix with partial deprivation as fully deprived, the second medicine is considered not accessible as well (<em>Figure 3</em>). </p> <p><strong>Figure 4.2.</strong> Achievement matrix of access to medicine (two dimensions & deprivation of dimensions)</p> <p><img src="data:image/png;base64,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"></p> <p>At the end of this step, the variable “access” to medicines is generated, combining the 2 dimensions of availability and affordability. This variable remains binary in nature with 1 – medicine is accessible (both available and affordable) and 0 – medicine is not accessible (not available or available but not affordable).</p> |
|
None
String updated in the repository |
<p><strong>Sources of discrepancies:</strong></p>
<p>Data can be received from three data sources: SARA, HAI/WHO, and the EMP MedMon. These data collection methods demonstrate the following discrepancies:</p> <ol> <li>Sampling of the facilities to be surveyed,</li> <li>Size of the sampling of the facilities to be surveyed, and</li> <li>Questions asked at facility level to capture availability (i.e. SARA considers potentially available expired medicines as well).</li> </ol> <p>WHO will use any of these three data sources available for the year of calculation as a compromise between the limitations that these discrepancies pose to the proposed methodology and the need to overcome data availability issues in order to start reporting on this critical indicator. In the unlikely case that data is available through more than one data source for a specific country, WHO will rely on the source with a larger sample size and a higher percentage of medicines from the defined core list captured by the survey.</p> |
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<p><strong>Data availability:</strong></p>
<p>SARA<strong>: </strong>21 national surveys are currently available from 2010 to 2017 for a total of 13 countries. Two- and three-year trends are available for six countries; the other seven countries only have one data point. 67% of the SDG basket of relevant essential medicines is covered by such surveys. These data will be used to test quality on the availability dimension only.</p> <p>HAI/WHO:<strong> </strong>Historical data points are available for 55 countries (28%) of all WHO Member States. The highest number of countries captured by the surveys is in the SEARO region (59%) and the smallest is in EURO region (15%). More than 60% of the medicines from the defined SDG indicator basket are captured in the HAI/WHO historical data surveys.</p> <p><strong>Table 1. </strong>Number of countries captured by the surveys across regions</p> <table> <tbody> <tr> <td> <p><strong><u>WHO Region</u></strong></p> </td> <td> <p><strong><u>2001-2005</u></strong></p> </td> <td> <p><strong><u>2005-2010</u></strong></p> </td> <td> <p><strong><u>2010-2015</u></strong></p> </td> <td> <p><strong><u>Total</u></strong></p> </td> </tr> <tr> <td> <p><em>African Region</em></p> </td> <td> <p>14</p> </td> <td> <p>5</p> </td> <td> <p>2</p> </td> <td> <p><strong>21</strong></p> </td> </tr> <tr> <td> <p><em>Region of the Americas</em></p> </td> <td> <p>3</p> </td> <td> <p>7</p> </td> <td> <p>1</p> </td> <td> <p><strong>11</strong></p> </td> </tr> <tr> <td> <p><em>Eastern Mediterranean Region</em></p> </td> <td> <p>8</p> </td> <td> <p>5</p> </td> <td> <p>3</p> </td> <td> <p><strong>16</strong></p> </td> </tr> <tr> <td> <p><em>European Region</em></p> </td> <td> <p>5</p> </td> <td> <p>2</p> </td> <td> <p>3</p> </td> <td> <p><strong>10</strong></p> </td> </tr> <tr> <td> <p><em>South-East Asia Region</em></p> </td> <td> <p>5</p> </td> <td> <p>2</p> </td> <td> <p>1</p> </td> <td> <p><strong>8</strong></p> </td> </tr> <tr> <td> <p><em>Western Pacific Region</em></p> </td> <td> <p>6</p> </td> <td> <p>2</p> </td> <td> <p>2</p> </td> <td> <p><strong>10</strong></p> </td> </tr> <tr> <td> <p><strong>Total</strong></p> </td> <td> <p><strong>41</strong></p> </td> <td> <p><strong>23</strong></p> </td> <td> <p><strong>12</strong></p> </td> <td> <p><strong>76</strong></p> </td> </tr> </tbody> </table> <p>HAI/WHO surveys were conducted more than once in some of the countries for a total of 76 surveys. </p> <p>EMP MedMon: In 2016 the design of the EMP MedMon tool for data collection was finalised. Since then, several pilot surveys have been conducted to test the tool. The first pilot survey was conducted across 19 countries using a basket of medicines that captures around 60% of the one currently proposed. The second pilot used a basket adjusted for the purposes of capturing non-communicable diseases only. These pilots have demonstrated that this tool is flexible and can be easily manipulated to include specialized modules of medicines for future data collection.</p> <p><strong>Time series:</strong></p> <p>Existing data has been historically collected based on available funding. The majority of existing surveys have been collected thus far using the <strong>HAI/WHO</strong> data collection tool. Most of the existing data points are from 2000 – 2005. </p> <p><strong>Table 2. </strong>Number of surveys and % of medicines from the defined basket </p> <p>that are captured by HAI/WHO surveys</p> <table> <tbody> <tr> <td> <p> </p> </td> <td> <p><strong><u>2001-2005</u></strong></p> </td> <td> <p><strong><u>2005-2010</u></strong></p> </td> <td> <p><strong><u>2010-2015</u></strong></p> </td> </tr> <tr> <td> <p><em>Total number of surveys (n)</em></p> </td> <td> <p>41</p> </td> <td> <p>23</p> </td> <td> <p>12</p> </td> </tr> <tr> <td> <p><em>Medicines captured in the surveys (%)</em></p> </td> <td> <p>49.8%</p> </td> <td> <p>66.3%</p> </td> <td> <p>72.9%</p> </td> </tr> </tbody> </table> <p>The distribution of these 76 surveys across WHO regions is represented in<strong> Table 3. </strong></p> <p><strong>Table 3. </strong>Number of HAI/WHO surveys across regions</p> <p><img src="data:image/png;base64,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"></p> <p>Overall 21 SARA surveys were conducted over the period from 2010 to 2017. 17 surveys were conducted between 2010 and 2015 and 4 surveys after 2015. </p> <p><strong>Disaggregation:</strong></p> <p>The proposed indicator will allow for the following disaggregation: </p> <ol> <li>public/private/mission sectors facilities (managing authority)</li> <li>geography – rural/urban areas</li> <li>therapeutic group</li> <li>facility type (pharmacy/hospital)</li> <li>medicine.</li> </ol> |
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<p>Quality control can be performed based on the median availability and median consumer price ratio of selected generic medicines listed on the Global Health Observatory (GHO). The quality of the key components of this indicator (i.e. availability, prices, etc.) can be assured for data collected using any of the three mechanisms listed above when cross-referenced with the GHO values.</p>
<p>For future data collection, quality will be based on the analysis of the sample size and the number of medicines captured in the basket.</p> <p>Countries will collect and share data with the WHO Secretariat. WHO will subsequently compute the indicator and return to the countries for validation. By request, WHO will also provide all background materials and training for data collection and indicator computation.</p> |
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<p>The HAI/WHO manual on measuring medicine prices, availability, affordability and price components describes the methodology as well as the guidelines for the data collection procedure and analysis of the availability and affordability of medicines on the facility and national level:</p>
<p><a href="http://www.who.int/medicines/areas/access/medicines_prices08/en/" target="_blank"><u>http://www.who.int/medicines/areas/access/medicines_prices08/en/</u></a></p> <p><a href="http://www.who.int/healthinfo/systems/SARA_Reference_Manual_Full.pdf" target="_blank"><u>http://www.who.int/healthinfo/systems/SARA_Reference_Manual_Full.pdf</u></a></p> <p><a href="http://www.who.int/medicines/areas/policy/monitoring/empmedmon" target="_blank"><u>http://www.who.int/medicines/areas/policy/monitoring/empmedmon</u></a></p> |
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<p>Regional and global aggregates can be computed using national population size of a country as a proxy for the country weights in the region or globally. This is justified because medicines must be available and affordable for every individual in the population.</p>
<p>To compute the regional indicator, the weighted average of the country indicators (using either the actual national indicator when available for the specific year of calculation, or the imputed value that corresponds to the year closest to the year of calculation) is used.</p> |
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<ul>
<li><strong>At country level </strong></li> </ul> <p>Treatment of missing values has already been partially addressed. In particular, when a medicine is not available, its price cannot be collected. For this reason, missing price values are considered as the medicine not being available and therefore not accessible (access = 0).</p> <p>Observing missing values for availability and affordability simultaneously indicates that these medicines are not provided at all in the surveyed facility. For example, in some countries medicines for in-patient care (mostly in injectable forms) are provided only in hospitals. In this case, the procedure for computing the indicator is the same except that:</p> <ol> <li>Medicines that are used for inpatient care are excluded from the analysis of the data collected in pharmacies and other non-tertiary health care facilities, and</li> <li>Two different versions of weights are applied to the list of medicines for hospitals and for pharmacies.</li> </ol> <ul> <li><strong>At regional and global levels</strong></li> </ul> <p>When computing regional or global aggregates of indicator 3.b.3, it is possible to accommodate missing values from countries resulting from a lack of data collection for a given country in a given year. In order to calculate a regionally aggregated 3.b.3 indicator, a 5-year period of data collection will be used as a reference to identify the available indicators for all the countries in the region. If during the defined 5-year period, one country of the region does not have even one indicator result, this country will not be included in the regional aggregate. The missing values from the countries can only be imputed when at least one data point exists for the given country in such a 5-year period.</p> |
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<p>The index is computed as a ratio of the health facilities with available and affordable medicines for primary health care over the total number of the surveyed health facilities:</p>
<p><math xmlns="http://www.w3.org/1998/Math/MathML"> <msub> <mrow> <mi>S</mi> <mi>D</mi> <mi>G</mi> </mrow> <mrow> <mn>3</mn> <mo>.</mo> <mi>b</mi> <mo>.</mo> <mn>3</mn> </mrow> </msub> <mo>=</mo> <mfrac> <mrow> <mi>F</mi> <mi>a</mi> <mi>c</mi> <mi>i</mi> <mi>l</mi> <mi>i</mi> <mi>t</mi> <mi>i</mi> <mi>e</mi> <mi>s</mi> <mi>&nbsp;</mi> <mi>w</mi> <mi>i</mi> <mi>t</mi> <mi>h</mi> <mi>&nbsp;</mi> <mi>a</mi> <mi>v</mi> <mi>a</mi> <mi>i</mi> <mi>l</mi> <mi>a</mi> <mi>b</mi> <mi>l</mi> <mi>e</mi> <mi>&nbsp;</mi> <mi>a</mi> <mi>n</mi> <mi>d</mi> <mi>&nbsp;</mi> <mi>a</mi> <mi>f</mi> <mi>f</mi> <mi>o</mi> <mi>r</mi> <mi>d</mi> <mi>a</mi> <mi>b</mi> <mi>l</mi> <mi>e</mi> <mi>&nbsp;</mi> <mi>b</mi> <mi>a</mi> <mi>s</mi> <mi>k</mi> <mi>e</mi> <mi>t</mi> <mi>&nbsp;</mi> <mi>o</mi> <mi>f</mi> <mi>&nbsp;</mi> <mi>m</mi> <mi>e</mi> <mi>d</mi> <mi>i</mi> <mi>c</mi> <mi>i</mi> <mi>n</mi> <mi>e</mi> <mi>s</mi> <mi>&nbsp;</mi> <mo>(</mo> <mi>n</mi> <mo>)</mo> </mrow> <mrow> <mi>S</mi> <mi>u</mi> <mi>r</mi> <mi>v</mi> <mi>e</mi> <mi>y</mi> <mi>e</mi> <mi>d</mi> <mi>&nbsp;</mi> <mi>F</mi> <mi>a</mi> <mi>c</mi> <mi>i</mi> <mi>l</mi> <mi>i</mi> <mi>t</mi> <mi>i</mi> <mi>e</mi> <mi>s</mi> <mi>&nbsp;</mi> <mo>(</mo> <mi>n</mi> <mo>)</mo> </mrow> </mfrac> </math></p> <p>For this indicator, the following variables are considered for a multidimensional understanding of the components of access to medicines:</p> <ul> <li>A core set of relevant essential medicines for primary healthcare </li> <li>Regional burden of disease</li> <li>Availability of a medicine</li> <li>Price of a medicine</li> <li>Treatment courses for each medicine (number of units per treatment & duration of treatment)</li> <li>National poverty line and lowest-paid unskilled government worker (LPGW) wage</li> <li>Proxy for quality of the core set of relevant essential medicines.</li> </ul> <p>The index is measured for each facility separately. Then a proportion of facilities that have accessible medicines is computed. The following <strong>steps</strong> must be taken to compute the index at the <u>facility level</u>:</p> <ol> <li>Review and selection of the core basket of medicines for primary health care</li> <li>Estimate weights for the defined medicines based on regional burden of disease</li> <li>Measure the two dimensions of the access to medicine<ul> <li> <ul> <li> <ul> <li> <ol> <li>Availability</li> <li>Affordability</li> </ol> </li> </ul> </li> </ul> </li> </ul> </li> <li>Combine the two dimensions on availability and affordability (access to medicines)</li> <li>Apply weights to the medicine in the basket according to the regional prevalence of the diseases that are cured, treated, and controlled by these medicines</li> <li>Identify whether a facility has a core set of relevant essential medicines available and affordable </li> </ol> <p>The next two steps are calculated at the <u>country level</u> across all the surveyed facilities:</p> <ol> <li>Calculate the indicator as the proportion of facilities with accessible medicines in the country</li> <li>Consideration of the quality of the accessible medicines in the country using a proxy</li> </ol> <p>Below is a more detailed procedure of the index computation.</p> <p>Step 1: Review and selection of the core basket of medicines for primary health care </p> <p>For some of the disease categories captured by the proposed basket of medicines, a therapeutic category of medicine has been specified (e.g. statins, beta blockers, corticosteroids, etc.) and a specific medicine must be identified for monitoring. For example, beclomethasone is used to treat non-communicable respiratory disease and if it is not supplied in a particular country for some policy or market reason, an alternative corticosteroid inhaler must be included in the analysis. In other cases, more than one medicine should be included in the basket per disease category. This will require a preliminary review of the basket before starting the data collection process.</p> <p>Step 2: Estimate weights for the defined medicines based on regional burden of disease</p> <p>The following points must be considered when computing medicines’ weights:</p> <ol> <li>Equal weights are assigned to medicines that are used to treat, cure, and control the same disease(s) (e.g. gliclazide (or other sulfonylurea), metformin and insulin regular are assigned equal weights according to the diabetes disease burden).</li> <li>For a medicine indicated for multiple diseases, DALYs values for each disease are summed.</li> <li>For a medicine used for treating conditions for children (four medicines from the list) sum of DALYs is computed for males and females at the age between 0 and 14 years. </li> <li>For some of the medicines which cannot be assigned to a specific disease (e.g. paracetamol) the weight is computed as <math xmlns="http://www.w3.org/1998/Math/MathML"> <mfrac> <mrow> <mn>1</mn> </mrow> <mrow> <mi>T</mi> </mrow> </mfrac> </math> (where T is a total number of medicines in the surveyed basket) assuming equal use of the medicine relative to other medicines in the core list. </li> <li>For medicines not in the list but “suggested for monitoring” by the country, weight is computed as <math xmlns="http://www.w3.org/1998/Math/MathML"> <mn>0</mn> <mo>.</mo> <mn>5</mn> <mi>*</mi> <mfrac> <mrow> <mn>1</mn> </mrow> <mrow> <mi>T</mi> </mrow> </mfrac> <mi>&nbsp;</mi> </math> assuming a minor relevance of these medicines for this indicator and to avoid major issues in inter-country comparison. </li> </ol> <p>To estimate the weight for each medicine, the following <u>steps</u> have to be undertaken:</p> <ul> <li> <ol> <li>Assign each medicine in the basket to one or several disease(s) that are treated/cured/controlled by that medicine (<em>Annex 1 table 2</em>) </li> <li>Assign to each disease the corresponding DALYs<sup><sup><a href="#footnote-2" id="footnote-ref-2">[1]</a></sup></sup> (if several diseases are treated with the same medicine, compute sum of these DALYs accordingly) [<math xmlns="http://www.w3.org/1998/Math/MathML"> <msub> <mrow> <mi>&nbsp;</mi> <mi>D</mi> <mi>A</mi> <mi>L</mi> <mi>Y</mi> <mi>s</mi> </mrow> <mrow> <mi>M</mi> <mi>i</mi> </mrow> </msub> </math> ]</li> <li>Compute total sum of the DALYs per medicine [ <math xmlns="http://www.w3.org/1998/Math/MathML"> <msub> <mrow> <mrow> <munderover> <mo stretchy="false">∑</mo> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <mrow> <mn>32</mn> </mrow> </munderover> <mrow> <mi>D</mi> <mi>A</mi> <mi>L</mi> <mi>Y</mi> <mi>s</mi> </mrow> </mrow> </mrow> <mrow> <mi>M</mi> <mi>i</mi> </mrow> </msub> </math> ]</li> <li>Compute weight of each medicine as a proportion of the medicine specific DALYs to the total sum of DALYs in the basket [<math xmlns="http://www.w3.org/1998/Math/MathML"> <mi>&nbsp;</mi> <msub> <mrow> <mi>W</mi> </mrow> <mrow> <mi>M</mi> <mi>i</mi> </mrow> </msub> </math> ]:</li> </ol> </li> </ul> <p><math xmlns="http://www.w3.org/1998/Math/MathML"> <msub> <mrow> <mi>W</mi> </mrow> <mrow> <mi>M</mi> <mi>i</mi> </mrow> </msub> <mo>=</mo> <mfrac> <mrow> <msub> <mrow> <mi>D</mi> <mi>A</mi> <mi>L</mi> <mi>Y</mi> <mi>s</mi> </mrow> <mrow> <mi>M</mi> <mi>i</mi> </mrow> </msub> </mrow> <mrow> <msub> <mrow> <mrow> <munderover> <mo stretchy="false">∑</mo> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <mrow> <mn>32</mn> </mrow> </munderover> <mrow> <mi>D</mi> <mi>A</mi> <mi>L</mi> <mi>Y</mi> <mi>s</mi> </mrow> </mrow> </mrow> <mrow> <mi>M</mi> <mi>i</mi> </mrow> </msub> </mrow> </mfrac> </math></p> <p>As an example, the weights computed across regions for year 2015 are represented in<u> Annex 2 table 2.1 and 2.2</u>. </p> <p>Step 3: Measure the two dimensions of access to medicine</p> <p><em>Availability</em> and <em>affordability</em> of medicines must be measured and transformed (when necessary) into the format of a binary variable. </p> <ol> <li><em>Availability</em> is measured as a binary variable coded as “1” when the medicine is in the facility on the day of the survey and coded as “0” otherwise. This approach is currently used in the HAI/WHO methodology.<sup><sup><a href="#footnote-3" id="footnote-ref-3">[2]</a></sup></sup></li> <li><em>Affordability</em> is computed following these <u>steps</u>:</li> </ol> <p>3.1 Compute daily price per dose of treatment for each medicine (price per DDD) in the selected basket of medicines </p> <p>WHO treatment guidelines provide the needed information to compute DDD. </p> <p>DDD of a medicine is defined using the following formula:</p> <p><math xmlns="http://www.w3.org/1998/Math/MathML"> <mi>p</mi> <mi>r</mi> <mi>i</mi> <mi>c</mi> <mi>e</mi> <mi>&nbsp;</mi> <mi>p</mi> <mi>e</mi> <mi>r</mi> <mi>&nbsp;</mi> <mi>D</mi> <mi>D</mi> <mi>D</mi> <mo>=</mo> <mfrac> <mrow> <mi>M</mi> <mi>e</mi> <mi>d</mi> <mi>i</mi> <mi>c</mi> <mi>i</mi> <mi>n</mi> <mi>e</mi> <mi>&nbsp;</mi> <mi>p</mi> <mi>r</mi> <mi>i</mi> <mi>c</mi> <mi>e</mi> <mi>&nbsp;</mi> <mfenced separators="|"> <mrow> <mi>m</mi> <mi>o</mi> <mi>n</mi> <mi>t</mi> <mi>h</mi> </mrow> </mfenced> <mi>*</mi> <mi>U</mi> <mi>n</mi> <mi>i</mi> <mi>t</mi> <mi>s</mi> <mi>&nbsp;</mi> <mi>p</mi> <mi>e</mi> <mi>r</mi> <mi>&nbsp;</mi> <mi>t</mi> <mi>r</mi> <mi>e</mi> <mi>a</mi> <mi>t</mi> <mi>m</mi> <mi>e</mi> <mi>n</mi> <mi>t</mi> <mo>(</mo> <mi>m</mi> <mi>o</mi> <mi>n</mi> <mi>t</mi> <mi>h</mi> <mo>)</mo> </mrow> <mrow> <mn>365</mn> <mo>/</mo> <mn>12</mn> </mrow> </mfrac> </math></p> <p>where:</p> <ul> <li>Units per treatments are tablets/vials or other forms that are needed for an individual with the average severity of the disease per one course of treatment of a duration of one month (365 days per year / 12 months per year = 30.42 days given 30 or 31 day per month), and</li> <li>Medicine prices are calculated per unit (per tablet/vial/other form) requiring adjustments for gram or milligram according to the potency. </li> </ul> <p>This ratio varies between “0” and infinity and is measured in local currency units per day [LCU/d].</p> <p>Information on the number of units per treatment is specified in <u>Annex 3</u>. The price per DDD can be measured in per day or per month. </p> <p>3.2 Define National poverty line (NPL) and minimum wage of the LPGW for the analysed country</p> <p><u>National poverty line (NLP):</u> countries periodically recalculate and update their poverty lines based on new survey data and publish this information in their national reports on poverty. To adjust the latest available NPLs to the relevant year of analysis (when needed) information on the Consumer Price Index (CPI) in the analysed country has to be used to account for deflation/inflation. </p> <p>National poverty reports consistently provide information on the NPLs in local currency units but often refer to different recall periods from country to country (NPL can be measured per day, per month or per year). For consistency, NPL has to be adjusted to be measured per day [LCU/d].</p> <p><u>The wage of the lowest paid unskilled government worker (LPGW):</u> is estimated and published in the ILOSTAT database. For countries with the latest available data collected in a year different from the year of analysis, LPGW wage is actualised using the CPI conversion factor. </p> <p>ILO provides information on the minimum LPGW wages in local currency units per month. LPGW wage has to be adjusted to be measured per day as well [LCU/d].</p> <p>The NPL and LPGW wage can be measured in per day or per month.</p> <p>3.3 Compute extra daily wages (EDW) </p> <p>First, the LPGW wage is compared to the NPL and if it is lower, medicine is considered unaffordable. In this case, only medicines with a price equal to zero will be considered affordable. </p> <p>Next, the affordability is measured via the number of extra daily wages (EDW) that are needed for the LPGW to pay for one-month course of treatment using the formula below. In particular, the number of extra daily wages can be computed using the following formula:</p> <p><math xmlns="http://www.w3.org/1998/Math/MathML"> <mi>E</mi> <mi>x</mi> <mi>t</mi> <mi>r</mi> <mi>a</mi> <mi>&nbsp;</mi> <mi>d</mi> <mi>a</mi> <mi>i</mi> <mi>l</mi> <mi>y</mi> <mi>&nbsp;</mi> <mi>w</mi> <mi>a</mi> <mi>g</mi> <mi>e</mi> <mi>s</mi> <mi>&nbsp;</mi> <mfenced separators="|"> <mrow> <mi>E</mi> <mi>D</mi> <mi>W</mi> </mrow> </mfenced> <mo>=</mo> <mi mathvariant="normal">&nbsp;</mi> <mfrac> <mrow> <mi>N</mi> <mi>P</mi> <mi>L</mi> <mo>+</mo> <mi>p</mi> <mi>r</mi> <mi>i</mi> <mi>c</mi> <mi>e</mi> <mi>&nbsp;</mi> <mi>p</mi> <mi>e</mi> <mi>r</mi> <mi>&nbsp;</mi> <mi>D</mi> <mi>D</mi> <mi>D</mi> </mrow> <mrow> <mi>d</mi> <mi>a</mi> <mi>i</mi> <mi>l</mi> <mi>y</mi> <mi>&nbsp;</mi> <mi>w</mi> <mi>a</mi> <mi>g</mi> <mi>e</mi> <mi>&nbsp;</mi> <mi>o</mi> <mi>f</mi> <mi>&nbsp;</mi> <mi>L</mi> <mi>P</mi> <mi>G</mi> <mi>W</mi> </mrow> </mfrac> </math></p> <p>3.4 Transform EDW variable into a binary format</p> <p>Following the definition, medicine is considered to be affordable when the sum of NPL and price of a daily dose of the treatment <u>is equal to or less</u> than the minimum daily wage of the LPGW:</p> <p><math xmlns="http://www.w3.org/1998/Math/MathML"> <mfenced open="{" separators="|"> <mrow> <mi>&nbsp;</mi> <mtable> <mtr> <mtd> <mrow> <maligngroup></maligngroup> <mi>i</mi> <mi>f</mi> <mi>&nbsp;</mi> <mi>E</mi> <mi>D</mi> <mi>W</mi> <mi>&nbsp;</mi> <mo>≤</mo> <mn>1</mn> <mo>,</mo> <mi>&nbsp;</mi> <mi>&nbsp;</mi> <mi>a</mi> <mi>f</mi> <mi>f</mi> <mi>o</mi> <mi>r</mi> <mi>d</mi> <mi>a</mi> <mi>b</mi> <mi>i</mi> <mi>l</mi> <mi>i</mi> <mi>t</mi> <mi>y</mi> <mo>=</mo> <mn>1</mn> <mo>,</mo> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <maligngroup></maligngroup> <mi>o</mi> <mi>t</mi> <mi>h</mi> <mi>e</mi> <mi>r</mi> <mi>w</mi> <mi>i</mi> <mi>s</mi> <mi>e</mi> <mo>,</mo> <mi>&nbsp;</mi> <mi>&nbsp;</mi> <mi>a</mi> <mi>f</mi> <mi>f</mi> <mi>o</mi> <mi>r</mi> <mi>d</mi> <mi>a</mi> <mi>b</mi> <mi>i</mi> <mi>l</mi> <mi>i</mi> <mi>t</mi> <mi>y</mi> <mo>=</mo> <mn>0</mn> </mrow> </mtd> </mtr> </mtable> </mrow> </mfenced> </math></p> <p>Hence, the affordability of medicines is also measured as a binary variable that is coded as “1” when the medicine is affordable and “0” otherwise.</p> <p><u>When the price of the medicine is 0</u>, there is no need for the above-mentioned computations and the medicine is considered affordable (i.e. “1”). If all medicines in the country are provided free of charge, all medicines are directly marked as affordable and further computation of the index depends on the availability of these medicines.</p> <p>Step 4: Combine the two dimensions on availability and affordability<strong> (access to medicines)</strong></p> <p>In this step, the two dimensions of access to medicines (availability and affordability) are combined into a multidimensional index. </p> <p>The construction of a multidimensional index is based on the union identification approach<sup><sup><a href="#footnote-4" id="footnote-ref-4">[3]</a></sup></sup> proposed by S. Alkire and G. Robles.</p> <p>The combination of the dimensions of medicines can be built in matrix form: </p> <p><math xmlns="http://www.w3.org/1998/Math/MathML"> <msubsup> <mrow> <mi>g</mi> </mrow> <mrow> <mi>i</mi> <mi>j</mi> </mrow> <mrow> <mi>o</mi> </mrow> </msubsup> <mo>=</mo> <mi>&nbsp;</mi> <mfenced open="[" close="]" separators="|"> <mrow> <mtable> <mtr> <mtd> <msub> <mrow> <mi>x</mi> </mrow> <mrow> <mn>11</mn> </mrow> </msub> </mtd> <mtd> <mo>…</mo> </mtd> <mtd> <msub> <mrow> <mi>x</mi> </mrow> <mrow> <mn>1</mn> <mi>d</mi> </mrow> </msub> </mtd> </mtr> <mtr> <mtd> <mo>…</mo> </mtd> <mtd> <mo>…</mo> </mtd> <mtd> <mo>…</mo> </mtd> </mtr> <mtr> <mtd> <msub> <mrow> <mi>x</mi> </mrow> <mrow> <mi>n</mi> <mn>1</mn> </mrow> </msub> </mtd> <mtd> <mo>…</mo> </mtd> <mtd> <msub> <mrow> <mi>x</mi> </mrow> <mrow> <mi>n</mi> <mi>d</mi> </mrow> </msub> </mtd> </mtr> </mtable> </mrow> </mfenced> </math></p> <p>This matrix contains performance for n objects of analysis (specified in rows) in d dimensions (specified in columns). The performance of any object <math xmlns="http://www.w3.org/1998/Math/MathML"> <mi mathvariant="normal">i</mi> </math> in all <math xmlns="http://www.w3.org/1998/Math/MathML"> <mi mathvariant="normal">d</mi> </math> dimensions is represented by the d-dimensional vector <math xmlns="http://www.w3.org/1998/Math/MathML"> <msub> <mrow> <mi mathvariant="normal">x</mi> </mrow> <mrow> <mi mathvariant="normal">i</mi> <mo>.</mo> </mrow> </msub> </math> for all <math xmlns="http://www.w3.org/1998/Math/MathML"> <mi mathvariant="normal">i</mi> <mo>=</mo> <mn>1</mn> <mo>,</mo> <mo>…</mo> <mo>,</mo> <mi mathvariant="normal">&nbsp;</mi> <mi mathvariant="normal">n</mi> </math>. The performance in any dimension <math xmlns="http://www.w3.org/1998/Math/MathML"> <mi mathvariant="normal">j</mi> </math> for all <math xmlns="http://www.w3.org/1998/Math/MathML"> <mi mathvariant="normal">n</mi> </math> objects are represented by the n-dimensional vector <math xmlns="http://www.w3.org/1998/Math/MathML"> <msub> <mrow> <mi mathvariant="normal">x</mi> </mrow> <mrow> <mo>.</mo> <mi mathvariant="normal">j</mi> </mrow> </msub> </math> for all <math xmlns="http://www.w3.org/1998/Math/MathML"> <mi mathvariant="normal">j</mi> <mo>=</mo> <mn>1</mn> <mo>,</mo> <mo>…</mo> <mo>,</mo> <mi mathvariant="normal">d</mi> </math>. Overall, an index should be computed via two main steps: identification and aggregation. An example of how to combine the 2 dimensions can be found in Annex 4.</p> <p>Step 5: Apply weights to the medicine in the basket according to the regional prevalence of the diseases that are cured/treated/controlled by these medicines</p> <p>After identifying the access variable, medicines in the basket have to be weighted according to the prevalence of the disease(s) that these medicines are used to cure/treat/control using the weights identified in step 2 and provided in Annex 2, tables 2.1 and 2.2.<strong> </strong>This is performed by multiplying the access variable with the medicine weights: </p> <p><strong>Figure 1.</strong> Achievement matrix of weighted access to medicine</p> <p><img 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"></p> <p>Step 6: Identify whether a facility has a core set of relevant essential medicines available and affordable</p> <p>The following computations must be undertaken in this step: </p> <p>6.1 Calculate proportion of medicines that are accessible (both available and affordable) in each facility</p> <p>Because medicines are weighted, the proportion is computed as a weighted sum of medicines that are both available and affordable (accessible) in each facility using the following formula: </p> <p><math xmlns="http://www.w3.org/1998/Math/MathML"> <mi>A</mi> <mi>c</mi> <mi>c</mi> <mi>e</mi> <mi>s</mi> <mi>s</mi> <mo>=</mo> <mi>&nbsp;</mi> <mrow> <munderover> <mo stretchy="false">∑</mo> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <mrow> <mi>n</mi> </mrow> </munderover> <mrow> <msub> <mrow> <mi>w</mi> </mrow> <mrow> <mi>m</mi> <mi>i</mi> </mrow> </msub> </mrow> </mrow> </math></p> <p>This variable is then transformed into a percentage and varies from 0 to 100. </p> <p>The computed number of accessible medicines accounts for the importance of the analysed medicines in the country. In particular, if a medicine with a higher weight (for example hypertension) is not accessible, the index will be sensitive to this and will demonstrate the lack of access. On the contrary, if a medicine has a low weight (i.e. approaching zero, such as antimalarial medication in a non-endemic country) and is not accessible, the index will not be affected. </p> <p>6.2 Mark facilities that have 80% or more of available and affordable medicines</p> <p>The computed variable “access” is then transformed into the binary format identifying facilities that have the core basket of essential medicines available and affordable versus facilities that do not. A threshold of 80% is applied in order to transform the “access” variable into a binary format. In particular, at least 80% of all the medicines surveyed in a facility have to be both available and affordable. The transformation is made using the following formula:</p> <p><math xmlns="http://www.w3.org/1998/Math/MathML"> <mfenced open="{" separators="|"> <mrow> <mtable> <mtr> <mtd> <mrow> <maligngroup></maligngroup> <mi>i</mi> <mi>f</mi> <mi>&nbsp;</mi> <msub> <mrow> <mi>A</mi> <mi>c</mi> <mi>c</mi> <mi>e</mi> <mi>s</mi> <mi>s</mi> </mrow> <mrow> <msub> <mrow> <mi>f</mi> <mi>a</mi> <mi>c</mi> <mi>i</mi> <mi>l</mi> <mi>i</mi> <mi>t</mi> <mi>y</mi> </mrow> <mrow> <mi>i</mi> </mrow> </msub> </mrow> </msub> <mo>≥</mo> <mn>80</mn> <mi>%</mi> <mi>&nbsp;</mi> <mi>F</mi> <mi>a</mi> <mi>c</mi> <mi>i</mi> <mi>l</mi> <mi>i</mi> <mi>t</mi> <mi>y</mi> <mo>=</mo> <mn>1</mn> <mo>,</mo> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <maligngroup></maligngroup> <mn>0</mn> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <maligngroup></maligngroup> <mi>o</mi> <mi>t</mi> <mi>h</mi> <mi>e</mi> <mi>r</mi> <mi>w</mi> <mi>i</mi> <mi>s</mi> <mi>e</mi> <mo>,</mo> <mi>&nbsp;</mi> <mi>F</mi> <mi>a</mi> <mi>c</mi> <mi>i</mi> <mi>l</mi> <mi>i</mi> <mi>t</mi> <mi>y</mi> <mo>=</mo> <mn>0</mn> </mrow> </mtd> </mtr> </mtable> </mrow> </mfenced> </math></p> <p>This threshold is agreed upon and adopted by the WHO Global Action Plan on Non-Communicable Diseases and used as a reference in this proposed methodology. </p> <p>Step 7: Calculate the indicator as the proportion of facilities with accessible medicines in the country</p> <p>The proportion of facilities that have reached the 80% threshold is calculated out of the total number of surveyed facilities in a selected country using the following formula:</p> <p><math xmlns="http://www.w3.org/1998/Math/MathML"> <msub> <mrow> <mi>S</mi> <mi>D</mi> <mi>G</mi> </mrow> <mrow> <mn>3</mn> <mo>.</mo> <mi>b</mi> <mo>.</mo> <mn>3</mn> </mrow> </msub> <mo>=</mo> <mfrac> <mrow> <mi>F</mi> <mi>a</mi> <mi>c</mi> <mi>i</mi> <mi>l</mi> <mi>i</mi> <mi>t</mi> <mi>i</mi> <mi>e</mi> <mi>s</mi> <mi>&nbsp;</mi> <mi>w</mi> <mi>i</mi> <mi>t</mi> <mi>h</mi> <mi>&nbsp;</mi> <mi>a</mi> <mi>v</mi> <mi>a</mi> <mi>i</mi> <mi>l</mi> <mi>a</mi> <mi>b</mi> <mi>l</mi> <mi>e</mi> <mi>&nbsp;</mi> <mi>a</mi> <mi>n</mi> <mi>d</mi> <mi>&nbsp;</mi> <mi>a</mi> <mi>f</mi> <mi>f</mi> <mi>o</mi> <mi>r</mi> <mi>d</mi> <mi>a</mi> <mi>b</mi> <mi>l</mi> <mi>e</mi> <mi>&nbsp;</mi> <mi>b</mi> <mi>a</mi> <mi>s</mi> <mi>k</mi> <mi>e</mi> <mi>t</mi> <mi>&nbsp;</mi> <mi>o</mi> <mi>f</mi> <mi>&nbsp;</mi> <mi>m</mi> <mi>e</mi> <mi>d</mi> <mi>i</mi> <mi>c</mi> <mi>i</mi> <mi>n</mi> <mi>e</mi> <mi>s</mi> <mi>&nbsp;</mi> <mo>(</mo> <mi>n</mi> <mo>)</mo> </mrow> <mrow> <mi>S</mi> <mi>u</mi> <mi>r</mi> <mi>v</mi> <mi>e</mi> <mi>y</mi> <mi>e</mi> <mi>d</mi> <mi>&nbsp;</mi> <mi>F</mi> <mi>a</mi> <mi>c</mi> <mi>i</mi> <mi>l</mi> <mi>i</mi> <mi>t</mi> <mi>i</mi> <mi>e</mi> <mi>s</mi> <mi>&nbsp;</mi> <mo>(</mo> <mi>n</mi> <mo>)</mo> </mrow> </mfrac> </math></p> <p>The computed indicator is a proportion that will then be converted into a percentage between 0-100%.</p> <p>Step 8: Consideration of quality of the accessible medicines in the country using a proxy </p> <p>The country level of medicine regulatory capacity assessed using the WHO NRA GBT is used as a proxy of the quality of the accessible medicines. The countries with a WHO Listed Authority (WLA corresponding to maturity level 3 and above) will be flagged to indicate the assured quality component.</p><div class="footnotes"><div><sup class="footnote-number" id="footnote-2">1</sup><p> DALYs for a disease are calculated as the sum of the <em>Years of Life Lost (YLL)</em> due to premature mortality in the population and the <em>Years Lost due to Disability (YLD)</em> for people living with the health condition or its consequences (DALYs YLL + YLD). That is why DALYs allow “calculating” consequences both from acute diseases (mortality) and from chronic diseases (disability and life with disease). <a href="http://www.who.int/healthinfo/global_burden_disease/estimates/en/index1.html">http://www.who.int/healthinfo/global_burden_disease/estimates/en/index1.html</a> <a href="#footnote-ref-2">↑</a></p></div><div><sup class="footnote-number" id="footnote-3">2</sup><p> <a href="http://www.who.int/medicines/areas/access/OMS_Medicine_prices.pdf">http://www.who.int/medicines/areas/access/OMS_Medicine_prices.pdf</a> <a href="#footnote-ref-3">↑</a></p></div><div><sup class="footnote-number" id="footnote-4">3</sup><p> <a href="https://www.ophi.org.uk/wp-content/uploads/OPHIRP046a.pdf">https://www.ophi.org.uk/wp-content/uploads/OPHIRP046a.pdf</a> <a href="#footnote-ref-4">↑</a></p></div></div> |
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<ol>
<li>On basket of tracer essential medicines:<ol> <li>Although it is possible to regularly monitor all 400+ medicines on the current WHO Model List of Essential Medicines, indicator 3.b.3 requires a specific subset of this list. Over the years, several baskets of medicines have been defined for different purposes and used to conduct data collection and monitor price and availability. This core set of medicines does not replace the other existing baskets, and WHO teams and partners are encouraged and committed to continue ad hoc monitoring through other existing channels. Throughout the process of identifying the core set of medicines, one area of focus has been to balance the selection of the tracer medicines for primary health care with the size of the basket itself. The proposed basket represents a balanced approach to allow that relevant tracer medicines for primary health care are monitored yet ensuring a practical and feasible data collection and analysis. The 32 medicines listed in the basket are meant to be indicative of the access to medicines for primary health care but do not serve as a complete or exhaustive list.</li> <li>As mentioned above, each medicine in the basket is weighted according to the regional Disability Adjusted Life Years (DALYs) for relevant disease from the WHO Global health estimates. Regional estimates are less sensitive to country-by-country variability of data quality, they sufficiently illustrate the disease distribution across countries in the region and work well due simplicity and comparability. Hence, regional weights for medicines are used to establish the associated country weights. However, this diminishes the specificity of the basket to the national context.</li> </ol> </li> <li>On the measurement of medicines’ availability:<ol> <li>The proposed approach for measuring the availability of medicines is based on the presence of the medicine on the day that the interviewer visits the facility and does not account for temporary and/or planned stock outs. The 32 medicines identified for the analysis should always be available in the facilities considering that in some (mainly rural) areas, the facility may be very difficult to reach and individuals may not have resources to travel on a daily basis. Moreover, in this proposed methodology the price of the medicine does not take into consideration the so-called indirect costs, which normally include transportation and other costs to reach the facility. Thus, the proposed measure for availability presents some limitations.</li> </ol> </li> </ol> <p>Furthermore, given the data collection occurs at the facility level and does not monitor quantities of any given medicine, an overall analysis of the available medicines compared to the national needs is not possible.</p> <ol> <li>On the measurement of medicines’ affordability:<ol> <li>Affordability of a medicine is often measured as the capacity of the population of a given country to pay for this medicine either ex-ante (usually based on income) or ex-post (usually based on reported expenditures). The latter would mainly require data collected at the individual level and from household surveys. However, information on medicine expenditures in these surveys is not always collected and when collected, is not done so consistently and regularly across the countries. In addition, there is usually a large amount of missing data.</li> </ol> </li> </ol> <p>The ex-ante approach is suggested for the purposes of this indicator as it is measured at the facility level. Ex-ante analysis requires identifying a reference person or group of people for the measurement. The lowest paid unskilled government worker is suggested to serve as the reference for this indicator. In other words, if a medicine is identified as being affordable for the individual who receives the LPGW wage, it will most likely be affordable for all other individuals affiliated with that economic group and higher. This obviously does not account for people employed in the unofficial labour market.</p> <p>The proposed methodology is an adjusted HAI/WHO methodology. The HAI/WHO approach suggests computing the affordability of medicine prices as the number of daily wages that are required for the lowest paid unskilled government worker (LPGW) to purchase a daily dose of a medicine (DDD). This approach is straightforward and also refers to the capacity of the reference individual to pay for the medicines. However, no threshold was identified to distinguish the maximum number of daily wages that an individual must spend on a medicine in order to still be able to afford it.</p> <ul> <li> <ol> <li>Information on minimum LPGW wage is available by the International Labour Organization (ILO) for 155 countries. When information is missing or when information has not been updated recently, the alternative measure suggested is to be taken from the World Development Indicators data on “minimum wage for a 19-year old worker or an apprentice”, which is often used as an alternative in ILO reports.</li> <li>The proposed indicator, being measured at the facility level, does not account for potential reimbursement schemes/insurance coverage present at the national level. Information about insurance or other forms of cost-coverage schemes at the national level is not readily available and would require standardization to allow for comparison across countries and income levels of the population. However, as demonstrated by the OECD in its Health at a Glance report in 2015, in 31 high- and middle-income countries the out-of-pocket (OOP) expenditures on pharmaceuticals as a share of all OOP on health varies from 64 to 16%.</li> </ol> </li> </ul> <p>Moreover, there are other SDG indicators, such as 3.8.1 and 3.8.2 that capture coverage of essential health services as well as financial protection from health expenditures net of reimbursement, including expenditures for medicines.</p> <ol> <li>Other dimensions on access to medicines (quality)<ol> <li>The quality of the product is another equally important dimension of access to medicines. Currently, there is no systematic and publicly available data collection on quality of a single medicine or in a single country. WHO has, however, contributed to enhanced access to quality health products through different programmes such as regulatory systems strengthening and prequalification.</li> </ol> </li> </ol> <p>A national regulatory authority (NRA) plays a key role in assuring the quality, safety, and efficacy of medical products until they reach the patient/consumer, as well as ensuring the relevance and accuracy of product information. Hence, stable, well-functioning and integrated regulatory systems are an essential component of a health system and contribute to better public health outcomes. NRA maturity and WHO prequalification of medicines can be considered as a proxy for ensuring that medicines in a country are of assured quality. The NRA maturity level is assessed using the WHO National Regulatory Authority Global Benchmarking Tool (WHO NRA GBT). After the evaluations, countries are assigned one of five levels of maturity, with a score of maturity level three representing the minimum acceptable regulatory capacity and maturity level five representing the highest level of functioning.</p> <p>The importance of transparency and the disclosure of the results of assessments amongst regulators (from ML 3 up) are taken into consideration. However, the information on country-specific NRA maturity level is not currently publicly available and WHO is working to address this limitation through recent discussions on WHO Listed Authorities (WLA).</p> <ol> <li>Other comments:<ol> <li>The “sustainability” dimension in this indicator can be measured only when more than one-time series of computations is available for a specific country so that a trend (tendency of a series of data points to move in a certain direction over time) can be identified.</li> </ol> </li> </ol> <p>The proposed methodology takes advantage of recognized standards and data collection methods, proposing a recombination of dimensions to allow measurement of affordability of a core set of relevant essential medicines for communicable and non-communicable diseases.</p> |
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| 24 | All strings, converted files enriched with comments; suitable for offline translation | Android String Resource | CSV | JSON | JSON nested structure file | gettext PO | iOS strings | TBX | TMX | XLIFF 1.1 with gettext extensions | XLIFF 1.1 | XLSX |
| 24 | Unfinished strings, converted files enriched with comments; suitable for offline translation | Android String Resource | CSV | JSON | JSON nested structure file | gettext PO | iOS strings | TBX | TMX | XLIFF 1.1 with gettext extensions | XLIFF 1.1 | XLSX |
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