Evidence map›Paper›PMID 42854203›Full record

ArticleJMIR mHealth and uHealth2026

How People Integrate Mental Health Apps Into Everyday Self-Care: Qualitative Study.

Vít Suchý, Zuzana Scott, Barbora Boštíková, Marek Janoušek, Eliška Josková, Anna Ševčíková

Abstract read
PubMed Publisher
In one paragraph

Article in JMIR mHealth and uHealth, 2026. 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

6 authors.

Vít Suchý *Psychology Research Institute, Faculty of Social Studies, Masaryk University, Jostova 10, Brno, 60200, Czechia, 420 549 49 4393.ORCID http://orcid.org/0009-0001-6369-5554
Zuzana Scott *Psychology Research Institute, Faculty of Social Studies, Masaryk University, Jostova 10, Brno, 60200, Czechia, 420 549 49 4393.
Barbora BoštíkováDepartment of Psychology, Faculty of Social Studies, Masaryk University, Brno, Czechia.ORCID http://orcid.org/0009-0001-4343-6897
Marek JanoušekDepartment of Psychology, Faculty of Social Studies, Masaryk University, Brno, Czechia.ORCID http://orcid.org/0009-0002-2561-2532
Eliška JoskováDepartment of Psychology, Faculty of Social Studies, Masaryk University, Brno, Czechia.ORCID http://orcid.org/0009-0000-3435-1675
Anna Ševčíková *Psychology Research Institute, Faculty of Social Studies, Masaryk University, Jostova 10, Brno, 60200, Czechia, 420 549 49 4393.ORCID http://orcid.org/0000-0002-9750-7320

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Mobile mental health (MH) apps are increasingly promoted as tools for self-care. However, less is known about how users integrate them into everyday life and how they combine with other forms of support. Objective: This qualitative study examined what motivates individuals to adopt MH apps and how these tools are used alongside other care practices. Methods: We conducted semistructured interviews with 31 Czech MH app users aged 18-56 (23 women), recruited through social media, researchers' networks, and snowball sampling. Eligible participants had used an MH app for at least 2 weeks; individuals currently experiencing a psychological crisis were excluded. Interviews were conducted online or face-to-face and analyzed using reflexive thematic analysis by Braun and Clarke. The analysis was inductive and informed by a critical realist epistemological stance. Initial analytic engagement was conducted independently, followed by collaborative theme development and refinement. Results: We identified the following three motivational patterns for MH app use: (1) regular use to maintain well-being and support preventive self-care; (2) reactive use during periods of acute distress; and (3) temporary, problem-focused use aimed at understanding or addressing a specific difficulty. Beyond motivations for adoption, our findings revealed the following four distinct trajectories of app engagement and disengagement: (1) emancipation, with apps acting as ongoing support for self-care when therapy is reduced or ended; (2) independence, as techniques learned through apps are transferred into everyday life and used without the app; (3) reliance, where users persist with app-based self-care despite insufficient benefit, occasionally delaying or limiting other forms of help; and (4) episodic use, characterized by intermittent engagement during specific life periods. These findings extend existing research by showing that disengagement is not necessarily a marker of failure but can reflect successful self-care and the transfer of learned skills. We also identified tensions and unintended consequences, including the burden of sustaining engagement, risks of overreliance, emotional costs associated with sustained self-monitoring, and tensions between digital self-care and efforts to reduce screen use. Participants generally viewed self-monitoring as beneficial when guided by clear personal goals and embedded within a broader system of self-care. Conclusions: Our findings suggest that appropriate disengagement can signal a successful step in self-care. App design and policy should acknowledge episodic use and strengthen connections to human support with clear guidance and accessible pathways to additional care when needed.

Indexed as

Mobile ApplicationsSelf CareAdolescentAdultCzech RepublicDigital HealthDigital MediaFemaleHumansInterviews as TopicMaleMiddle AgedMotivationQualitative ResearchYoung Adultadultshabitmental healthmental health appmobile applicationspatient engagementqualitative studyself-careself-management

Identifiers

PMID42854203

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.