Evidence map›Paper›PMID 41388143›Full record

ArticleNPJ digital medicine2025

Caregiver perceptions of healthcare barriers across traditional and digital contexts: a mixed-methods analysis.

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

Abstract read
In one paragraph

Article in NPJ digital medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Jacqueline B DuongUniversity of Texas at Austin, Austin, TX, USA. jduong@utexas.edu.
Sierra N WaltersUniversity of Texas at Austin, Austin, TX, USA.
Kayla E CartaUniversity of Texas at Austin, Austin, TX, USA.
Grace A JumonvilleUniversity of Texas at Austin, Austin, TX, USA.
Alyssa S CarrascoUniversity of Texas at Austin, Austin, TX, USA.
Natalia Simo FialloFlorida International University, Miami, FL, USA.
Daniela N RomeroUniversity of Texas at Austin, Austin, TX, USA.
Ishita P KhurdUniversity of Texas at Austin, Austin, TX, USA.
Matthew W AhleColliga Apps Corporation, Austin, TX, USA.
Jonathan S ComerFlorida International University, Miami, FL, USA.
Stacy L FrazierFlorida International University, Miami, FL, USA.
Theodora ChaspariUniversity of Colorado, Boulder, CO, USA.
Shrikanth NarayananUniversity of Southern California, Los Angeles, CA, USA.
Adela C TimmonsUniversity of Texas at Austin, Austin, TX, USA.

Funding

The Development and Systematic Evaluation of an AI-Assisted Just-in-Time-Adaptive-Intervention for Improving Child Mental HealthR44MH123368 · NIMH · COLLIGA APPS CORP. · PI AHLE, MATTHEW WILLIAM, COMER, JONATHAN S · 2022 to 2024
$2.7M
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
National Science Foundation Graduate Research Fellowship Program Grant No. DGE-0937362NIMH NIH HHS Grant No. R42MH123368NIMH NIH HHS R42 MH123368NIMH NIH HHS R44 MH123368NSF GRFP Grant No. 1930019
6 · The paper itself

Abstract

As digital health expanded during COVID-19, understanding how caregivers perceive differences between traditional and digital care became critical. In a purposive sample of female caregivers of school-age children with elevated mental health symptoms (n = 47), we used a convergent mixed-methods design to compare reported experiences across modalities. Thematic analysis revealed that participants described different barrier patterns: financial concerns were reported in both contexts, but with different characteristics (insurance/copays vs. device/subscription costs). Participants reported distinct digital challenges, relational connection loss, digital literacy gaps, and privacy concerns, while facilitators also differed. Traditional care narratives emphasized interpersonal support, while digital care highlighted accessibility and personalization. Social identity intersections were referenced more frequently in traditional care narratives, though demographic correlations suggested continued relevance in digital contexts. These pandemic-era findings from female caregivers generate hypotheses for designing inclusive digital health approaches and highlight areas for longitudinal research tracking actual transitions between care modalities.

Identifiers

PMID41388143
PMCPMC12717138

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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.