Evidence map›Paper›PMID 40237014›Full record

ArticleOxford open digital health2024

A systematic review and qualitative evidence synthesis of factors affecting mHealth adoption in India.

Verghese Thomas, Judy Jenkins, Jomin George

Abstract read
In one paragraph

Article in Oxford open digital health, 2024. 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. 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

3 authors.

Verghese ThomasHealth Data Science, Swansea University, Singleton Park, Swansea, SA2 8PP, Wales.ORCID https://orcid.org/0000-0003-4153-2903
Judy JenkinsHealth Data Science, Swansea University, Singleton Park, Swansea, SA2 8PP, Wales.
Jomin GeorgeHealth Data Science, Swansea University, Singleton Park, Swansea, SA2 8PP, Wales.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

mHealth implementations are increasing in low- and middle-income countries to strengthen health systems and improve health outcomes. Following the proliferation of mobile internet use, Indian health systems have deployed mHealth widely. However, there is little evidence that mHealth has improved health outcomes in India across settings and at scale. The aim of this study was to review current evidence on perceptions and experiences of end users of mHealth in India and synthesize qualitative data to determine the factors influencing mHealth use to inform mHealth design, development, and implementation. A systematic review and qualitative synthesis of studies on mHealth in India was conducted by searching the Web of Science, Medline and CINAHL databases for qualitative studies on mHealth users including both health system beneficiaries and healthcare personnel. Findings from the studies were synthesized using thematic synthesis. The synthesis generated the themes of the Environment, the Users and the mHealth system. The data indicate that mHealth use improves when the environment supports its use; when users are motivated and have the ability to use mHealth systems; and when mHealth systems are aligned with the environmental context and fulfill users' needs and desires. mHealth adoption in India can be improved through human centered design and by addressing the disparities in digital literacy between socio economic strata. These approaches are required to close the design reality gaps facing mHealth systems, to improve mHealth implementation for health system strengthening, and therefore, to improve health outcomes in India.

Indexed as

adoptionimplementationIndiamHealthqualitative synthesis

Identifiers

PMID40237014
PMCPMC11998589

What Socratic 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 Socratic graph.