This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (2410) Focus Groups and Qualitative Research for Human Factors Research (851) Usability of Apps and User Perceptions of mHealth (974) Design and Formative Evaluation of Mobile Apps (694) Human Factors and Usability Case Studies (787) Breast Cancer (206) Consumer & Patient Education and Shared-Decision Making (679) Patient Education for Cancer (147) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1399) Patient Education for Surgery and Anesthesiology (26)

Published on in Vol 5, No 6 (2021): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/22970, first published .
Using a Mobile App–Based Video Recommender System of Patient Narratives to Prepare Women for Breast Cancer Surgery: Development and Usability Study Informed by Qualitative Data

Using a Mobile App–Based Video Recommender System of Patient Narratives to Prepare Women for Breast Cancer Surgery: Development and Usability Study Informed by Qualitative Data

Using a Mobile App–Based Video Recommender System of Patient Narratives to Prepare Women for Breast Cancer Surgery: Development and Usability Study Informed by Qualitative Data

Authors of this article:

Ilja Ormel1, 2 Author Orcid Image ;   Charles C Onu1, 3 Author Orcid Image ;   Mona Magalhaes1 Author Orcid Image ;   Terence Tang4 Author Orcid Image ;   John B Hughes5 Author Orcid Image ;   Susan Law1, 2, 4, 6 Author Orcid Image
Article Authors Cited by (5) Tweetations (4) Metrics

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  2. Sanchez Antelo V, Szwarc L, Paolino M, Saimovici D, Massaccesi S, Viswanath K, Arrossi S. A Counseling Mobile App to Reduce the Psychosocial Impact of Human Papillomavirus Testing: Formative Research Using a User-Centered Design Approach in a Low-Middle-Income Setting in Argentina. JMIR Formative Research 2022;6(1):e32610 View
  3. Razzak M, Islam M, Broti T, Kamal E, Zahan S. Exploring usability problems of mHealth applications developed for cervical cancer: An empirical study. SAGE Open Medicine 2023;11 View
  4. Rezaimehr F, Dadkhah C. T&TRS: robust collaborative filtering recommender systems against attacks. Multimedia Tools and Applications 2023;83(11):31701 View
  5. Pato M, Barros M, Couto F. Survey on Recommender Systems for Biomedical Items in Life and Health Sciences. ACM Computing Surveys 2024;56(6):1 View