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

Patient Education for Cancer (154) Consumer & Patient Education and Shared-Decision Making (695) Focus Groups and Qualitative Research for Human Factors Research (880) User-centred Design Case Studies (602) Personal Health Records, Patient-Accessible Electronic Health Records, Patient Portals (591)

Published on in Vol 8, No 1 (2022): Jan-Mar

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/31263, first published .
Understanding the Information Needs of Patients With Ovarian Cancer Regarding Genetic Testing to Inform Intervention Design: Interview Study

Understanding the Information Needs of Patients With Ovarian Cancer Regarding Genetic Testing to Inform Intervention Design: Interview Study

Understanding the Information Needs of Patients With Ovarian Cancer Regarding Genetic Testing to Inform Intervention Design: Interview Study

Authors of this article:

Yan Zhang1, 2 Author Orcid Image ;   Siqi Yi1 Author Orcid Image ;   Ciaran B Trace1, 2 Author Orcid Image ;   Marian Yvette Williams-Brown3, 4 Author Orcid Image
Article Authors Cited by (5) Tweetations (7) Metrics

Journals

  1. Zhao Y, Zhao M, Song S. Online Health Information Seeking Among Patients With Chronic Conditions: Integrating the Health Belief Model and Social Support Theory. Journal of Medical Internet Research 2022;24(11):e42447 View
  2. Trace C, Zhang Y, Yi S, Williams‐Brown M. Information practices around genetic testing for ovarian cancer patients. Journal of the Association for Information Science and Technology 2023;74(11):1265 View
  3. Afaya A, Kim S, Park H, Lim M, Jung M, Nam E, Park J, Jeong J, Ryu J, Kim J, Kim J, Kim M, Jin J, Han J, Kim S, Park S, Katapodi M, Kim S. Psychosocial barriers and facilitators for cascade genetic testing in hereditary breast and ovarian cancer: a scoping review. Familial Cancer 2024;23(2):121 View
  4. Tesfa G, Demeke A, Zewold M, Ngusie H. Health information-seeking behavior among people living with the two common chronic diseases in low and middle-income countries (LMICs). A systematic review and meta-analysis. DIGITAL HEALTH 2024;10 View