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1000 Titel
  • Mobile-based interventions for common mental disorders in youth: a systematic evaluation of pediatric health apps
1000 Autor/in
  1. Domhardt, Matthias |
  2. Messner, Eva-Maria |
  3. Eder, Anna-Sophia |
  4. Engler, Sophie |
  5. Sander, Lasse B. |
  6. Baumeister, Harald |
  7. Terhorst, Yannik |
1000 Erscheinungsjahr 2021
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2021-09-13
1000 Erschienen in
1000 Quellenangabe
  • 15(1):49
1000 Copyrightjahr
  • 2021
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1186/s13034-021-00401-6 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8438844/ |
1000 Publikationsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • The access to empirically-supported treatments for common mental disorders in children and adolescents is often limited. Mental health apps might extend service supplies, as they are deemed to be cost-efficient, scalable and appealing for youth. However, little is known about the quality of available apps. Therefore, we aimed to systematically evaluate current mobile-based interventions for pediatric anxiety, depression and posttraumatic stress disorder (PTSD).Systematic searches were conducted in Google Play Store and Apple App Store to identify relevant apps. To be eligible for inclusion, apps needed to be: (1) designed to target either anxiety, depression or PTSD in youth (0-18 years); (2) developed for children, adolescents or caregivers; (3) provided in English or German; (4) operative after download. The quality of eligible apps was assessed with two standardized rating systems (i.e., Mobile App Rating Scale (MARS) and ENLIGHT) independently by two reviewers.Overall, the searches revealed 3806 apps, with 15 mental health apps (0.39%) fulfilling our inclusion criteria. The mean overall scores suggested a moderate app quality (MARS: M = 3.59, SD = 0.50; ENLIGHT: M = 3.22, SD = 0.73). Moreover, only one app was evaluated in an RCT. The correlation of both rating scales was high (r = .936; p < .001), whereas no significant correlations were found between rating scales and user ratings (p > .05).Our results point to a rather poor overall app quality, and indicate an absence of scientific-driven development and lack of methodologically sound evaluation of apps. Thus, future high-quality research is required, both in terms of theoretically informed intervention development and assessment of mental health apps in RCTs. Furthermore, institutionalized best-practices that provide central information on different aspects of apps (e.g., effectiveness, safety, and data security) for patients, caregivers, stakeholders and mental health professionals are urgently needed.
1000 Sacherschließung
lokal Depression
lokal Anxiety
lokal Children
lokal Posttraumatic stress disorder
lokal Internet
lokal Psychotherapy
lokal mHealth
lokal Research Article
lokal Adolescent
lokal Smartphone
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/RG9taGFyZHQsIE1hdHRoaWFz|https://frl.publisso.de/adhoc/uri/TWVzc25lciwgRXZhLU1hcmlh|https://frl.publisso.de/adhoc/uri/RWRlciwgQW5uYS1Tb3BoaWE=|https://frl.publisso.de/adhoc/uri/RW5nbGVyLCBTb3BoaWU=|https://frl.publisso.de/adhoc/uri/U2FuZGVyLCBMYXNzZSBCLg==|https://frl.publisso.de/adhoc/uri/QmF1bWVpc3RlciwgSGFyYWxk|https://orcid.org/0000-0003-4091-5048
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1000 Erstellt am 2023-11-15T21:27:52.270+0100
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1000 Objekt bearb. Thu Nov 30 22:22:14 CET 2023
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