Evidence map›Paper›PMID 41044865›Full record

ArticleClinical and translational science2025

Bridging Implementation Gaps in Digital Health: A Translational Research Imperative for Equitable Healthcare Innovation.

Laiba Husain, Katherine Kitchens, Saroop Raja, Madiha Memon

Abstract read
In one paragraph

Article in Clinical and translational science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

4 authors.

Laiba HusainDepartment of Social and Behavioural Sciences, Peter O'Donnell Jr. School of Public Health, University of Texas Southwestern Medical Center, Dallas, Texas, USA.ORCID 0000-0001-9889-0889
Katherine KitchensDepartment of Social and Behavioural Sciences, Peter O'Donnell Jr. School of Public Health, University of Texas Southwestern Medical Center, Dallas, Texas, USA.ORCID 0000-0001-7295-7838
Saroop RajaBirmingham and Solihull Mental Health Foundation Trust, Birmingham, UK.ORCID 0009-0009-9721-4518
Madiha MemonOxford University Hospital NHS Foundation Trust, Oxford, UK.ORCID 0009-0000-9211-7350

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital health technologies' potential to democratize healthcare access appears constrained by implementation challenges that may reproduce existing inequities. This paper examines systemic barriers potentially impeding translation, suggesting prevailing frameworks inadequately address structural determinants. Despite substantial investment, limited FDA approvals for digital-derived endpoints indicate possible regulatory-innovation disjunctures, while constrained funding and incomplete reimbursement structures systematically exclude essential services. We propose a precision implementation framework repositioning implementation science as integral to technological development, potentially challenging linear translational paradigms. This approach emphasizes examining sociotechnical systems, organizational readiness variations, and community-specific contexts. Whether digital health mitigates or exacerbates disparities likely depends on reconceptualizing implementation as socio-organizational transformation requiring regulatory harmonization, sustainable economic models, and equity-centered engagement.

Indexed as

Healthcare DisparitiesHealth EquityTelemedicineTranslational Research, BiomedicalDigital HealthHealth Services AccessibilityHumansImplementation ScienceUnited Statesdigital healthhealth equityimplementation scienceprecision implementationtranslational research

Identifiers

PMID41044865
PMCPMC12494540

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.