Evidence map›Paper›PMID 41222937›Full record

SynthesisJAMA network open2025

Use of Digital Health Interventions Among Forcibly Displaced People: A Systematic Review and Meta-Analysis.

Sargun Kaur Virk, Rachel Ann Poovathoor, Sanjana Ravi, Nihan Ercanli, Imelda Vetter, Andrew Robert Milewski, Gunisha Kaur

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in JAMA network open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Sargun Kaur VirkDepartment of Anesthesiology, Weill Cornell Medicine, New York, New York.
Rachel Ann PoovathoorBrooks School of Public Policy, Cornell University, Ithaca, New York.
Sanjana RaviDepartment of Pediatrics, Duke University, Durham, North Carolina.
Nihan ErcanliBrooks School of Public Policy, Cornell University, Ithaca, New York.
Imelda VetterDepartment of Medical Education, University of Texas at Austin.
Andrew Robert MilewskiDepartment of Anesthesiology, Weill Cornell Medicine, New York, New York.
Gunisha KaurDepartment of Anesthesiology, Weill Cornell Medicine, New York, New York.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Forcibly displaced people face significant biopsychosocial barriers to accessing health care. Digital health interventions have emerged as tools to bridge care gaps and have been successfully implemented in other disadvantaged populations to improve health care access and outcomes. However, the feasibility and practicality of digital health interventions among forcibly displaced individuals cannot be fully evaluated without characterizing recruitment and retention rates for these interventions in this unique population. Objective: To evaluate the recruitment rate and retention rate for digital health interventions in forcibly displaced people. Data Sources: A comprehensive search was conducted in PubMed, Web of Science, and SocINDEX in January 2023, with an updated search in February 2024. The search strategy followed Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The protocol was registered in PROSPERO. Study Selection: Only randomized clinical trials evaluating digital health interventions in forcibly displaced populations were included. Non-peer reviewed studies, reviews, and studies lacking recruitment or retention data were excluded. Two independent reviewers screened and selected studies, and conflicts were resolved by a third reviewer. Data Extraction and Synthesis: Data were extracted independently by 2 reviewers using Covidence, and a third reviewer resolved discrepancies. Meta-analysis was conducted using a random-effects model to estimate the pooled recruitment rate and retention rate. Study quality was assessed using the Downs and Black Checklist. Main Outcomes and Measures: Recruitment rate (percentage of prospective participants who were successfully randomized) and retention rate (percentage of randomized participants who completed the intervention). Results: A total of 9 randomized clinical trials with 2858 participants were analyzed. The most frequently investigated technology was mobile applications (4 trials), followed by mobile phones (3 trials), with 1 study utilizing tablets and another using wearables. Recruitment rates varied widely across studies (16% to 100%), as did retention rates (28% to 91%). The pooled recruitment rate was 91% (95% CI, 57%-99%; I2 = 99%), and the pooled retention rate was 68% (95% CI, 48%-84%; I2 = 98%). Conclusions and Relevance: In this systematic review and meta-analysis of 9 randomized clinical trials, forcibly displaced populations exhibited variable recruitment and retention rates, although pooled estimates were high. These findings suggest that digital technologies provide a unique opportunity for scalable health interventions in this population, which may mitigate the negative health consequences arising from the many biopsychosocial barriers to in-person care.

Indexed as

Health Services AccessibilityRefugeesTelemedicineDigital HealthHumans

Identifiers

PMID41222937
PMCPMC12612957

What OpenQuestion holds

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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.