Evidence map›Paper›PMID 39586089›Full record

ArticleJournal of medical Internet research2024

Perspectives of Digital Health Innovations in Low- and Middle-Income Health Care Systems From South and Southeast Asia.

Siyan Yi, Esabelle Lo Yan Yam, Kochukoshy Cheruvettolil, Eleni Linos, Anshika Gupta, Latha Palaniappan, Nitya Rajeshuni, Kiran Gopal Vaska, Kevin Schulman, Karen N Eggleston

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 4 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

29 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
  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.

Siyan YiSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.ORCID 0000-0002-3045-5386
Esabelle Lo Yan YamSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.ORCID 0000-0002-6349-3856
Kochukoshy CheruvettolilBill & Melinda Gates Foundation, Seattle, WA, United States.ORCID 0009-0003-1647-3419
Eleni LinosCenter for Digital Health, School of Medicine, Stanford University, Stanford, CA, United States.ORCID 0000-0002-5856-6301
Anshika GuptaNational Health Authority, Ministry of Health and Family Welfare, New Delhi, India.ORCID 0000-0002-2446-4083
Latha PalaniappanDivision of Primary Care and Population Health, School of Medicine, Stanford University, Stanford, CA, United States.ORCID 0000-0002-1245-665X
Nitya RajeshuniDepartment of Pediatrics, School of Medicine, Stanford University, Stanford, CA, United States.ORCID 0000-0002-9624-2578
Kiran Gopal VaskaNational Health Authority, Ministry of Health and Family Welfare, New Delhi, India.ORCID 0000-0002-1772-5193
Kevin SchulmanClinical Excellence Research Center, School of Medicine, Stanford University, Stanford, CA, United States.ORCID 0000-0002-8926-5085
Karen N EgglestonShorenstein Asia-Pacific Research Center, Freeman Spogli Institute for International Studies, Stanford University, Stanford, CA, United States.ORCID 0000-0001-8122-7722

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital health innovations have emerged globally as a transformative force for addressing health system challenges, particularly in resource-constrained settings. The COVID-19 pandemic underscored the critical importance of these innovations for enhancing public health. In South and Southeast Asia, a region known for its cultural diversity and complex health care landscape, digital health innovations present a dynamic interplay of challenges and opportunities. We advocate for ongoing research built into system development and an evidence-based strategy focusing on designing and scaling national digital health infrastructures combined with a vibrant ecosystem or "marketplace" of local experiments generating shared experience about what works in which settings. As the global digital health revolution unfolds, the perspectives drawn from South and Southeast Asia-including the importance of local partnerships-may provide valuable insights for shaping future strategies and informing similar initiatives in low- and middle-income countries, contributing to effective digital health strategies across diverse global health contexts.

Indexed as

COVID-19Delivery of Health CareDeveloping CountriesTelemedicineAsia, SoutheasternDigital HealthHumansPandemicsSARS-CoV-2artificial intelligencedigital healthdigital health innovationsglobal healthglobal health contextshealth AIhealth care challengesLMICslow- and middle-income countriespublic healthpublic health responsesSouth and Southeast Asia

Identifiers

PMID39586089
PMCPMC11629033

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.