Evidence map›Paper›PMID 27070913›Full record

ArticlePLoS medicine2016

Building Learning Health Systems to Accelerate Research and Improve Outcomes of Clinical Care in Low- and Middle-Income Countries.

Mike English, Grace Irimu, Ambrose Agweyu, David Gathara, Jacquie Oliwa, Philip Ayieko, Fred Were, Chris Paton, Sean Tunis, Christopher B Forrest

Abstract read
In one paragraph

Article in PLoS medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

48 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Promoting informed health choices: the long and winding road.Journal of the Royal Society of Medicine · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article
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

10 authors.

Mike EnglishNuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.
Grace IrimuKEMRI-Wellcome Trust Research Programme, Nairobi, Kenya.
Ambrose AgweyuKEMRI-Wellcome Trust Research Programme, Nairobi, Kenya.
David GatharaKEMRI-Wellcome Trust Research Programme, Nairobi, Kenya.
Jacquie OliwaKEMRI-Wellcome Trust Research Programme, Nairobi, Kenya.
Philip AyiekoKEMRI-Wellcome Trust Research Programme, Nairobi, Kenya.
Fred WereDean, College of Medicine, College of Health Sciences, University of Nairobi, Nairobi, Kenya.
Chris PatonNuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.
Sean TunisCenter for Medical Technology Policy (CMTP), Baltimore, Maryland, United States of America.
Christopher B ForrestChildren's Hospital of Philadelphia, Philadelphia, Pennsylvania, United States of America.

Funding

Medical Research Council MR/N005600/1Wellcome TrustWellcome Trust 084538Wellcome Trust 097170Wellcome Trust 92654
6 · The paper itself

Abstract

Mike English and colleagues argue that as efforts are made towards achieving universal health coverage it is also important to build capacity to develop regionally relevant evidence to improve healthcare.

Indexed as

Cooperative BehaviorDelivery of Health Care, IntegratedIncomeInterdisciplinary CommunicationLearningNational Health ProgramsCapacity BuildingCost-Benefit AnalysisDeveloping CountriesEvidence-Based MedicineHealth Care CostsHealth Services ResearchHumansInsurance, HealthPatient-Centered CarePolicy Making

Identifiers

PMID27070913
PMCPMC4829240

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.