Evidence map›Paper›PMID 24119388›Full record

ArticleGlobalization and health2013

Shared learning in an interconnected world: innovations to advance global health equity.

Agnes Binagwaho, Cameron T Nutt, Vincent Mutabazi, Corine Karema, Sabin Nsanzimana, Michel Gasana, Peter C Drobac, Michael L Rich, Parfait Uwaliraye, Jean Pierre Nyemazi and 12 more

Abstract readEditorial
In one paragraph

Article in Globalization and health, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
–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

35 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Global Is Local: Leveraging Global Mental-Health Methods to Promote Equity and Address Disparities in the United States.Clinical psychological science : a journal of the Association for Psychological Science · 2024
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Positioning global pharmacy research partnerships to advance health equity.Research in social & administrative pharmacy : RSAP · 2020
    Article
  14. Article
  15. Article
  16. Review
  17. Review
  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

22 authors.

Agnes BinagwahoMinistry of Health of Rwanda, Kigali, Rwanda. agnes_binagwaho@hms.harvard.edu.
Cameron T Nutt
Vincent Mutabazi
Corine Karema
Sabin Nsanzimana
Michel Gasana
Peter C Drobac
Michael L Rich
Parfait Uwaliraye
Jean Pierre Nyemazi
Michael R Murphy
Claire M Wagner
Andrew Makaka
Hinda Ruton
Gita N Mody
Danielle R Zurovcik
Jonathan A Niconchuk
Cathy Mugeni
Fidele Ngabo
Jean de Dieu Ngirabega
Anita Asiimwe
Paul E Farmer

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The notion of "reverse innovation"--that some insights from low-income countries might offer transferable lessons for wealthier contexts--is increasingly common in the global health and business strategy literature. Yet the perspectives of researchers and policymakers in settings where these innovations are developed have been largely absent from the discussion to date. In this Commentary, we present examples of programmatic, technological, and research-based innovations from Rwanda, and offer reflections on how the global health community might leverage innovative partnerships for shared learning and improved health outcomes in all countries.

Indexed as

Cooperative BehaviorDelivery of Health CareDeveloped CountriesDeveloping CountriesDiffusion of InnovationGlobal HealthInformation DisseminationHumansRwanda

Identifiers

PMID24119388
PMCPMC3765795

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.