Evidence map›Paper›PMID 35144950›Full record

ArticleBMJ open2022

Global status of essential medicine selection: a systematic comparison of national essential medicine lists with recommendations by WHO.

Thomas Piggott, Artur Nowak, Romina Brignardello-Petersen, Graham S Cooke, Benedikt Huttner, Holger J Schünemann, Nav Persaud, Nicola Magrini, Lorenzo Moja

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
8.7field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Rarely listed essential medicines in 158 national lists.Journal of pharmaceutical policy and practice · 2026
    Article
  8. Article
  9. Article
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  13. Bulletin of the World Health Organization · 2024
    Article
  14. Measuring the value of theBulletin of the World Health Organization · 2024
    Article
  15. Article
  16. Article
  17. Article
  18. Uptake of orphan drugs in the WHO essential medicines lists.Bulletin of the World Health Organization · 2024
    Article
  19. Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 6 institutions in 4 countries.

Thomas PiggottDepartment of Health Research Methods, Evidence & Impact, McMaster University, Hamilton, Ontario, Canada.ORCID 0000-0003-1643-5386
Artur NowakEvidence Prime, Hamilton, Ontario, Canada.
Romina Brignardello-PetersenDepartment of Health Research Methods, Evidence & Impact, McMaster University, Hamilton, Ontario, Canada.
Graham S CookeDepartment of Infectious Disease, Imperial College London, London, UK.
Benedikt HuttnerDepartment of Health Product Policy and Standards, World Health Organization, Geneva, Switzerland.
Holger J SchünemannDepartment of Health Research Methods, Evidence & Impact, McMaster University, Hamilton, Ontario, Canada.
Nav PersaudDepartment of Family and Community Medicine, St Michael's Hospital, Toronto, Ontario, Canada.ORCID 0000-0003-3327-5580
Nicola MagriniItalian Medicines Agency, Rome, Italy.
Lorenzo MojaDepartment of Health Product Policy and Standards, World Health Organization, Geneva, Switzerland mojal@who.int.
Impact · CAWorld Health Organization · CHHamilton Regional Laboratory Medicine Program · CAImperial College London · GBItalian Medicines Agency · ITSt. Michael's Hospital · CA

Funding

World Health Organization 001
6 · The paper itself

Abstract

objectivesExamining the availability of essential medicines is a necessary step to monitor country-level progress towards universal health coverage. We compared the 2017 essential medicine lists (EML) of 137 countries to the WHO Model List to assess differences by drug class and country setting.

methodsWe extracted all medicines prioritised at country level from most recently available national EMLs and compared each national EML with the 2017 WHO Model List of Essential Medicines (MLEM) as the reference standard. We assess EMLs by WHO region and for different types of medicine subgroups (eg, cancer, anti-infectives, cardiac, psychiatric and anaesthesia medicines) using within second-level anatomical therapeutic class (ATC) drug classes of the ATC Index.

resultsWe included 406 medicines from WHO's 2017 MLEM to compare to 137 concurrent national EMLs. We found a median of 315 (range from 44 to 983) medicines listed on national EMLs. The global median F1 score was 0.59 (IQR 0.47-0.70, maximum possible score indicating alignment with MLEM is 1). The F1 score was the highest (ie, most similar to MLEM) in the South-East Asia region and the lowest in the European region (ie, most dissimilar to MLEM). The F1 score was highest for stomatological preparations (median: 1.00), gynaecological-anti-infectives and antiseptics (median: 1.00), and medicated dressings (median: 1.00), and lowest for 9 anatomical or pharmacological groups (median: 0.00, eg, treatments for bone diseases, digestive enzymes).

conclusionsMost countries are expected to improve their national health coverage by 2030 offering access to essential medicines, but our results revealed substantial gaps in selection of medicines at the national level compared with those recommended by WHO. It is crucial that governments consider investing in those effective medicines that are now neglected and continue monitoring progress towards essential medicine access as part of universal health coverage.

Indexed as

Drugs, EssentialNeoplasmsAsia, SoutheasternHumansWorld Health OrganizationDrugs, Essentialhealth economicshealth policypublic health

Identifiers

PMID35144950
PMCPMC8845216
OpenAlexW4210984771

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.