Evidence mapPaperPMID 40417496Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2024

A Computationally-guided Qualitative Analysis to Understand User Experiences with Different Types of Mobile Personal Health Records.

Zainab A Balogun, Pronob K Barman, Bianka K Onwumbiko, Tera L Reynolds

Abstract readEvaluation Study
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2024. 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

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.

Zainab A BalogunUniversity of Maryland, Baltimore County, Baltimore, MD.
Pronob K BarmanUniversity of Maryland, Baltimore County, Baltimore, MD.
Bianka K OnwumbikoUniversity of Maryland, Baltimore County, Baltimore, MD.
Tera L ReynoldsUniversity of Maryland, Baltimore County, Baltimore, MD.

Funding

RESEARCH TRAINING IN THE EPIDEMIOLOGY OF AGINGT32AG000262 · UNIVERSITY OF MARYLAND BALTIMORE · 1998 to 2025
$1.8M
NIA NIH HHS T32 AG000262
6 · The paper itself

Abstract

Mobile personal health records (mPHR) are smartphone apps that grant patients portable and continuous access to their medical records, thereby increasing the potential for patients to play an active role in managing their health. An extensive body of literature has focused on understanding user experiences with web-based tethered PHRs (i.e., patient portals) offered by healthcare organizations. However, patients' opinions of smartphone-based PHRs have received less attention. To address this gap, we used a computationally-guided qualitative analysis approach to analyze user reviews of six tethered and four interconnected mPHR apps available on both Google Play and Apple app stores. This approach resulted in identifying dimensions of user experiences related to usability, usefulness, and important features to users. Our findings reveal many similarities in user experiences for HCO-tethered and HCO-independent interconnected PHRs. However, there are some differences in user experiences between the types of PHRs and the different devices and platforms.

Indexed as

Electronic Health RecordsHealth Records, PersonalMobile ApplicationsPatient Acceptance of Health CareUser-Centered DesignHumansLatent Class AnalysisQualitative ResearchSmartphone

Identifiers

PMID40417496
PMCPMC12099338

What Socratic holds

Textmetadata
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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 Socratic graph.