Evidence map›Paper›PMID 41415725›Full record

ArticleBMC digital health2025

Developing a Gender Framework for Responsive and Adaptive Design in Digital Health (FORWARD) from a review of reviews.

Anna Kalbarczyk, Katya Saksena, Michelle Colder Carras, Isis Gomes, Juliet Zon, Xiaohang Zhou, Smisha Agarwal

Abstract read
In one paragraph

Article in BMC digital health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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.

Anna KalbarczykDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD USA.
Katya SaksenaDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD USA.
Michelle Colder CarrasDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD USA.
Isis GomesDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD USA.
Juliet ZonDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD USA.
Xiaohang ZhouDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD USA.
Smisha AgarwalDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Despite the increasing use of digital health interventions (DHIs) in low- and middle-income countries (LMICs), gender disparities persist in access, utilization, and outcomes. Barriers to women's phone ownership and use include affordability, digital literacy, and social norms; these are not only technological, but institutional as reflected in the limited integration of gender equity in national digital health strategies. While the body of evidence on DHI effectiveness is growing how to implement gender equitable digital programs is less clear. Methods: We conducted an umbrella review of systematic reviews to synthesize gender-related outcomes on DHIs in LMICs. Eligible DHIs included those used by community health workers and client-facing interventions for health communication, self-management, and symptom monitoring. We included only reviews that reported quantitative outcomes with confidence intervals and reported the study design for included studies. We classified interventions along the Gender Equality Continuum. Findings were reported using PRISMA guidelines. Results: Of the reviews analyzed, only eight (5.5%) explicitly applied a gender lens. Barriers to women's participation in DHIs included limited phone ownership, financial dependence, and socio-cultural norms restricting access to health information. Gender-responsive interventions that accounted for these challenges were rare. Gender-transformative approaches (which seek to shift harmful gender norms), such as engaging men in health-seeking behaviors, showed promise but remain underutilized and under evaluated. Measurement of gender-related barriers and their influence on outcomes was limited. No studies used validated gender scales. Conclusions: Based on these findings, we propose the Gender Framework for Responsive and Adaptive Design in Digital Health (FORWARD) to guide implementers in designing DHIs that address gender disparities. Gender FORWARD emphasizes gender-responsive design at individual (i.e. literacy and access), workforce (i.e. usability, interoperability, and supportive supervision), and ecosystem (i.e. capture and use of gender data in decision-making) levels. This framework offers a critical resource for researchers, implementors, and policy makers to improve digital health equity by ensuring interventions are inclusive, accessible, and sustainable across genders.

Indexed as

Digital health interventionsEquityFrameworkGenderImplementation

Identifiers

PMID41415725
PMCPMC12708703

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.