Evidence map›Paper›PMID 40766220›Full record

ArticleResearch square2025

From Traditional to Digital: Examining the Transformation of Sociocultural Barriers and Facilitators in Healthcare Technology Adoption.

Jacqueline B Duong, Natalia Simo Fiallo, Sierra N Walters, Kayla E Carta, Grace A Jumonville, Alyssa S Carrasco, Daniela N Romero, Ishita P Khurd, Matthew W Ahle, Jonathan S Comer and 4 more

Abstract readPreprint
In one paragraph

Article in Research square, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Jacqueline B DuongThe University of Texas at Austin.
Natalia Simo FialloFlorida International University.
Sierra N WaltersThe University of Texas at Austin.
Kayla E CartaThe University of Texas at Austin.
Grace A JumonvilleThe University of Texas at Austin.
Alyssa S CarrascoThe University of Texas at Austin.
Daniela N RomeroThe University of Texas at Austin.
Ishita P KhurdThe University of Texas at Austin.
Matthew W AhleColliga Apps Corporation.
Jonathan S ComerFlorida International University.
Stacy L FrazierFlorida International University.
Theodora ChaspariUniversity of Colorado.
Shri NarayananUniversity of Southern California.
Adela C TimmonsThe University of Texas at Austin.

Funding

The Development and Systematic Evaluation of an AI-Assisted Just-in-Time-Adaptive-Intervention for Improving Child Mental HealthR42MH123368 · NIMH · COLLIGA APPS CORP. · PI COMER, JONATHAN S, TIMMONS, ADELA · 2020 to 2021
$859k
NIMH NIH HHS R42 MH123368
6 · The paper itself

Abstract

As digital health technologies (DHTs) reshape healthcare delivery, it remains unclear how they transform access barriers and facilitators, particularly for historically marginalized populations. This convergent mixed-methods study examined how diverse caregivers experience traditional versus digital healthcare. Thematic analysis of interviews and correlational analyses of health and digital literacy revealed how key access factors evolve with digital adoption. Financial constraints persisted across both contexts but shifted in form, while digital settings introduced new challenges, including relational disconnect, technology access gaps, and data privacy concerns. Facilitators also differed; traditional care emphasized interpersonal and cultural supports, whereas DHTs enabled flexibility and personalization. Social identity shaped these experiences, with identity-linked barriers more frequently referenced in traditional care. This suggests disparities may become less visible, but not less present, in digital environments, highlighting the need for continued vigilance. Findings support inclusive, equity-centered design strategies to ensure digital innovations promote, rather than obscure, equitable healthcare access.

Indexed as

digital dividedigital health toolshealth disparitiesmixed methods

Identifiers

PMID40766220
PMCPMC12324604

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.