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Stress Management Apps: Systematic Search and Multidimensional Assessment of Quality and Characteristics.

Sarah PaganiniEvelyn MeierYannik TerhorstRamona WurstVivien HohbergDana SchultchenJana StrahlerMax WursthornHarald BaumeisterEva-Maria Messner
Published in: JMIR mHealth and uHealth (2023)
The moderate information quality, scarce evidence base, constraints in data privacy and security features, and high volatility of SMAs pose challenges for users, health professionals, and researchers. However, owing to the scalability of SMAs and the few but promising results regarding their effectiveness, they have a high potential to reach and help a broad audience. For a holistic stress management approach, SMAs could benefit from a broader repertoire of strategies, such as more instrumental and mental stress management strategies. The common characteristics of SMAs with top-rated quality can be used as guidance for potential users and health professionals, but owing to the high volatility of SMAs, enhanced evaluation frameworks are needed.
Keyphrases
  • systematic review
  • big data
  • quality improvement
  • mental health
  • healthcare
  • machine learning
  • electronic health record
  • human health
  • risk assessment
  • high intensity
  • global health
  • psychometric properties