Evidence map›Paper›PMID 35476224›Full record

ArticleJournal of racial and ethnic health disparities2023

Factors Associated with Reducing Disparities in Electronic Personal Heath Records Use Among Non-Hispanic White and Hispanic Adults.

Hao Wang, Sydney E Manning, Amy F Ho, Usha Sambamoorthi

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Article in Journal of racial and ethnic health disparities, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
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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.

Hao WangDepartment of Emergency Medicine, JPS Health Network, 1500 S. Main St., Fort Worth, TX, 76104, USA. hwang@ies.healthcare.ORCID 0000-0002-5105-0951
Sydney E ManningDepartment of Pharmacotherapy, Texas Center for Health Disparity, University of North Texas Health Science Center, 3500 Camp Bowie Blvd, Fort Worth, TX, 76107, USA.
Amy F HoDepartment of Emergency Medicine, JPS Health Network, 1500 S. Main St., Fort Worth, TX, 76104, USA.
Usha SambamoorthiDepartment of Pharmacotherapy, Texas Center for Health Disparity, University of North Texas Health Science Center, 3500 Camp Bowie Blvd, Fort Worth, TX, 76107, USA.

Funding

AIM-AHEAD Coordinating Center - All Four CoresOT2OD032581 · OD · UNIVERSITY OF NORTH TEXAS HLTH SCI CTR · PI Paul Avillach, Bettina M. Beech · 2021 to 2026
$168.7M
Texas Center for Minority Health, Education, Research and OutreachU54MD006882 · NIMHD · UNIVERSITY OF NORTH TEXAS HLTH SCI CTR · PI VISHWANATHA, JAMBOOR K. · 2017 to 2022
$6.0M
NIH HHS OT2 OD032581NIMHD NIH HHS U54 MD006882
6 · The paper itself

Abstract

objectivesPersonal health records (PHR) use has improved individuals' health outcomes. The adoption of PHR remains low with documented racial disparities. We aim to determine factors associated with reducing racial and ethnic disparities among Hispanic adults in PHR use.

methodsParticipants included non-Hispanic White (NHW) and Hispanic adults (age ≥ 18 years) enrolled in Health Information National Trends Survey in 2018 and 2019. We identified PHR use as online medical record access in the last 12 months. We considered three factors (1. accessing mHealth Apps on the phone, 2. having a usual source of care, and 3. electronically communicating (e-communication) with healthcare providers) as facilitating PHR use. Multivariable logistic regressions with replicate weights were analyzed to determine factors associated with racial/ethnic disparities in PHR use after controlling for general characteristics (i.e., sex, age, education, insurance status, and income).

resultsA lower percentage of Hispanics than NHWs used PHR (42.0% vs. 53.5%, P < .001). When adjusted for individual general characteristics, the adjusted odds ratio (AOR) of e-communication with healthcare providers associated with PHR use was 1.49 (1.19-1.86, P < .001), AOR was 2.06 (1.62-2.6, P < .001) on accessing to mHealth App, and 2.60 (1.86-3.63, P < .001) on having a usual source of care. However, the racial difference was not statistically significant after adjusting three factors promoting PHR use (AOR = 0.90, 95% CI = 0.66, 1.22, P = .48).

conclusionsEthnic disparities were reduced when PHR use was facilitated by having a usual source of care, active e-communication, and having access to mHealth apps. Interventions focusing on these three factors may potentially reduce racial/ethnic disparities.

Indexed as

Electronic Health RecordsHispanic or LatinoWhiteAdolescentAdultHealthcare DisparitiesHumansRacial GroupsUnited StatesWhite PeopleHispanicNon-Hispanic WhitePersonal Health RecordRacial and ethnic disparities

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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.