Evidence map›Paper›PMID 39534216›Full record

ArticleJAMIA open2024

Use of mobile applications and mental health services among veterans who received internet-connected tablets.

Ashley C Griffin, Liberty Greene, Cindie Slightam, Charlie M Wray, Joseph Wielgosz, Eric Kuhn, Daniel Blonigen, Donna M Zulman

Abstract read
In one paragraph

Article in JAMIA open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Ashley C GriffinVA Palo Alto Health Care System, Palo Alto, CA 94025, United States.ORCID https://orcid.org/0000-0002-1535-0797
Liberty GreeneVA Palo Alto Health Care System, Palo Alto, CA 94025, United States.
Cindie SlightamVA Palo Alto Health Care System, Palo Alto, CA 94025, United States.ORCID https://orcid.org/0000-0001-9211-2285
Charlie M WrayDepartment of Medicine, University of California San Francisco, San Francisco, CA 94143, United States.
Joseph WielgoszVA Palo Alto Health Care System, Palo Alto, CA 94025, United States.
Eric KuhnVA Palo Alto Health Care System, Palo Alto, CA 94025, United States.
Daniel BlonigenVA Palo Alto Health Care System, Palo Alto, CA 94025, United States.ORCID https://orcid.org/0000-0003-3420-6704
Donna M ZulmanVA Palo Alto Health Care System, Palo Alto, CA 94025, United States.

Funding

HSRD VA IK6 HX003763
6 · The paper itself

Abstract

Objectives: Among Veterans Health Administration (VHA) patients receiving internet-connected tablets, we examined (1) app usage, (2) clusters of commonly used apps and patient characteristics across clusters, and (3) the relationship between app clusters and mental health services. Materials and Methods: A survey was distributed to a national sample of VHA patients ( Results: Among 1664 patients with complete survey and health care utilization data, the majority (74%) reported using at least 1 app. The most used apps were for video visits (60%) and VA's patient portal (53%). Cluster analysis revealed 5 distinct groups reflecting app usage: Patient Portal ( Discussion: Tablet provision supports opportunities to use apps for multiple health management tasks, and app use clusters vary across patient characteristics and health care utilization. Conclusion: Patients most commonly used apps to connect with their care team, and use of some apps and app combinations may improve engagement with mental health services.

Indexed as

mental health servicesmobile healthpersonal health recordstelemedicineveterans

Identifiers

PMID39534216
PMCPMC11555822

What OpenQuestion holds

Textmetadata
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.