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

Security and Privacy of mHealth and uHealth (126) Focus Groups and Qualitative Research for Human Factors Research (880) Usability of Apps and User Perceptions of mHealth (993) eHealth Literacy / Digital Literacy (396)

Published on in Vol 9, No 4 (2021): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16518, first published .
Smartphone Users’ Persuasion Knowledge in the Context of Consumer mHealth Apps: Qualitative Study

Smartphone Users’ Persuasion Knowledge in the Context of Consumer mHealth Apps: Qualitative Study

Smartphone Users’ Persuasion Knowledge in the Context of Consumer mHealth Apps: Qualitative Study

Authors of this article:

Eunsin Joo1 Author Orcid Image ;   Anastasia Kononova2 Author Orcid Image ;   Shaheen Kanthawala3 Author Orcid Image ;   Wei Peng4 Author Orcid Image ;   Shelia Cotten5, 6 Author Orcid Image
Article Authors Cited by (15) Tweetations (5) Metrics

Journals

  1. Giraldo-Jiménez C, Gaviria-Chavarro J, Sarria-Paja M, Bermeo Varón L, Villarejo-Mayor J, Rodacki A. Smartphones dependency risk analysis using machine-learning predictive models. Scientific Reports 2022;12(1) View
  2. Broad A, Biswakarma R, Harper J. A survey of women’s experiences of using period tracker applications: Attitudes, ovulation prediction and how the accuracy of the app in predicting period start dates affects their feelings and behaviours. Women's Health 2022;18 View
  3. Anderson M, Bankole A, Homdee N, Mitchell B, Byfield G, Lach J. Dementia Caregiver Experiences and Recommendations for Using the Behavioral and Environmental Sensing and Intervention System at Home: Usability and Acceptability Study. JMIR Aging 2021;4(4):e30353 View
  4. Holtz B, Kanthawala S, Martin K, Nelson V, Parrott S. Young adults’ adoption and use of mental health apps: efficient, effective, but no replacement for in-person care. Journal of American College Health 2023:1 View
  5. Guracho Y, Thomas S, Win K. Smartphone application use patterns for mental health disorders: A systematic literature review and meta-analysis. International Journal of Medical Informatics 2023;179:105217 View
  6. Martín F, García-Fernández J, Valcarce-Torrente M, Bernal-García A, Gálvez-Ruiz P, Angosto-Sánchez S. Importance-performance analysis in fitness apps. A study from the viewpoint of gender and age. Frontiers in Public Health 2023;11 View
  7. Patel U, Broad A, Biswakarma R, Harper J. Experiences of users of period tracking apps: which app, frequency of use, data input and output and attitudes. Reproductive BioMedicine Online 2024;48(3):103599 View
  8. Sharma V, Payal R, Dutta K, Poulose J, Kapse M. A comprehensive examination of factors influencing intention to continue usage of health and fitness apps: a two-stage hybrid SEM-ML analysis. Cogent Business & Management 2024;11(1) View
  9. Rennie S, Litewka S, Vayena E, Chingarande G, Mtande T, Cengiz N, Singh J, Jaoko W, Moodley K. Private commercial companies sharing health-relevant consumer data with health researchers in sub-Saharan Africa: an ethical exploration. Policy Studies 2024:1 View

Books/Policy Documents

  1. Cipriano M, Za S. Sustainable Digital Transformation. View
  2. Kodama K, Kurata K, CAO J. Mobile Health (mHealth). View
  3. Starks T, Patil K, Martin-Hammond A. Pervasive Computing Technologies for Healthcare. View