Cited by 33Digital Mental Health InterventionsMobile Health and mHealth ApplicationsAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes

The feasibility and effectiveness of Catch It, an innovative CBT smartphone app

Open access
Kinderman, Peter, Hagan, Paul, King, Sophie, Bowman, James, Chahal, Jasprit, Gan, Li, McKnight, Rebecca, Waldon, Charlotte +3 more·2016·BJPsych Open

Abstract

Background: The widespread use of smartphones makes effective therapies such as cognitive–behavioural therapy (CBT) potentially accessible to large numbers of people. Aims: This paper reports the usage data of the first trial of Catch It, a new CBT smartphone app. Method: Uptake and usage rates, fidelity of user responses to CBT principles, and impact on reported negative and positive moods were assessed. Results: A relatively modest proportion of people chose to download the app. Once used, the app tended to be used more than once, and 84% of the user-generated content was consistent with the basic concepts of CBT. There were statistically significant reductions in negative mood intensity and increases in positive mood intensity. Conclusions: Smartphone apps have potential beneficial effects in mental health through the application of basic CBT principles. More research with randomised controlled trial designs should be conducted.

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Crossref · 10.1192/bjpo.bp.115.002436

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  • High user engagement and sufficient long-term outcomes seem to be the top barriers for effective CBT app outcomes.

    “high user engagement and sufficient long-term outcomes seem to be the top barriers for effective CBT app outcomes [32]”

    From Technology enabled clinical care (TECC): Protocol for a prospective longitudinal cohort study of smartphone-augmented mental health treatment (2021) · cites this paper as [32]

    The Discussion reports low uptake and says most users made few entries, supporting engagement as a challenge for Catch It. The paper assesses mood changes during app use, not long-term outcomes, and does not identify engagement and long-term outcomes as the top barriers to effective CBT apps. (LLM, conf=0.84)

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  • The nine research articles that examined the 10 apps were made up of seven randomized controlled trials and two feasibility or pilot studies.

    “The nine research articles [47-55] that examined the 10 apps were made up of seven randomized controlled trials (RCTs)—the Flett et al article contained one RCT with 2 of the listed apps: Headspace and Smiling Mind [52]—and two feasibility or pilot studies: Kinderman et al [48] and Carey et al [55].”

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Authors
Kinderman, P., Hagan, P., King, S., Bowman, J., Chahal, J., Gan, L., McKnight, R., Waldon, C., Smith, M., Gilbertson, J., & Tai, S.
Affiliations
  • University of Liverpool (GB)
  • University of Manchester (GB)
Corresponding author
Kinderman, Peter
Venue
BJPsych Open
Published
2016-05
Volume
2
Issue
3
Pages
204-209
ISSN
2056-4724 (ISSN-L)
OpenAlex
W2353011502
Cited by
33
References
18
Citations by year
2026: 1 · 2025: 2 · 2024: 4 · 2023: 1 · 2022: 1 · 2021: 5 · 2020: 7 · 2019: 3 · 2018: 5 · 2017: 4
FWCI
6.16
Type
journal article
Language
en
Open access
Locations
  • BJPsych Open (publishedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • Research Explorer (The University of Manchester) (publishedVersion, cc-by-nc-nd)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
Funders
McKnight Foundation
Topics
  • Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Keywords
cognitive behavioral therapy, mobile application, digital mental health interventions, mood, negative mood, positive mood, user-generated content

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