Evidence map›Paper›PMID 41542358›Full record

ArticleCurrent psychology (New Brunswick, N.J.)2024

Does Personalized Mean Popular? A Content Analysis of Suicide Prevention Smartphone Applications.

Lourah M Kelly, Sulaikha Buuh, Melissa Schick, Claire Peikes, Kristyn Zajac

Abstract read
In one paragraph

Article in Current psychology (New Brunswick, N.J.), 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

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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

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

5 authors.

Lourah M KellyUniversity of Massachusetts Chan Medical School, Dept of Psychiatry, Worcester, MA, USA.
Sulaikha BuuhUniversity of Connecticut School of Medicine, Farmington, CT, USA.
Melissa SchickYale University School of Medicine, New Haven, CT, USA.
Claire PeikesUniversity of Connecticut School of Medicine, Farmington, CT, USA.
Kristyn ZajacUniversity of Connecticut School of Medicine, Farmington, CT, USA.

Funding

Research Training Program in Substance Use PreventionT32DA019426 · NIDA · YALE UNIVERSITY · PI TAMI P SULLIVAN · 2005 to 2026
$7.5M
Development and Evaluation of an Avatar Guided Mobile Health for Emerging AdultsR00AA029154 · NIAAA · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI KELLY, LOURAH MARIE · 2023 to 2025
$747k
Development and evaluation of an avatar-guided mobile health intervention for emerging adults with alcohol misuse and suicidalityK99AA029154 · NIAAA · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI KELLY, LOURAH MARIE · 2022 to 2023
$384k
NIAAA NIH HHS K99 AA029154NIAAA NIH HHS L30 AA029582NIAAA NIH HHS R00 AA029154NIDA NIH HHS T32 DA019426
6 · The paper itself

Abstract

Background: Smartphone applications (apps) have wide reach and can help users in real-time; however, it is unclear if suicide prevention apps include content and features that are likely to improve users' experiences, such as personalization and interactivity. It is also unknown if app characteristics that contribute to popularity are also related to user-rated quality. This content analysis evaluated the content, functions, popularity (i.e., downloads), and user-rated quality (i.e., star ratings) of publicly available suicide prevention apps. Methods: Apps were downloaded from May-July 2022 and independently rated by two researchers. Discrepancies were resolved via discussion or a third rater. The Mobile Application Rating Scale assessed app quality. Results: The 74 included apps were collectively downloaded roughly 2,349,710 times. Approximately 22% had dynamic, personalizable, and actionable safety plans (e.g., called supports during crisis). Of variables that were significant in univariate models, larger apps, with secure access, and with risk reduction information were downloaded more frequently. Apps that provided developer's contact information and were rated more favorably by the researchers were given more stars by users. Identifying alcohol as a suicide risk factor was significant in both univariate models, but neither multivariate model. No other variables related to downloads were also related to star ratings. Conclusions: Suicide prevention apps vary in tailoring and dynamic features, but unexpectedly such features are unrelated to user-rated quality and popularity. The features that attract users to download apps, like having secure access and harm reduction, do not also contribute to positive ratings.

Indexed as

content analysismobile healthsmartphonesuicideusability

Identifiers

PMID41542358
PMCPMC12803478

What OpenQuestion holds

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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 OpenQuestion graph.