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Classification of Smoking Cessation Apps: Quality Review and Content Analysis.

Suin SeoSung-Ii ChoWonjeong YoonCheol Min Lee
Published in: JMIR mHealth and uHealth (2022)
This study is the first to evaluate the content and quality of smoking cessation apps by classification. The combined type had higher-quality content and functionality than other app types. The app developer type and feedback channel with the app developer had a significant impact on the overall quality of the apps. In addition, problematic apps and single-function apps were shown to have a large market share. Our results will contribute to the use and development of better smoking cessation apps after considering the problems identified in this study.
Keyphrases
  • smoking cessation
  • replacement therapy
  • machine learning
  • quality improvement
  • deep learning
  • mental health