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

Formative Evaluation of Digital Health Interventions (2193) mHealth for Treatment Adherence (383)

Published on in Vol 1, No 1 (2017): Jan-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/8027, first published .
Implications for Training on Smartphone Medication Reminder App Use by Adults With Chronic Conditions: Pilot Study Applying the Technology Acceptance Model

Implications for Training on Smartphone Medication Reminder App Use by Adults With Chronic Conditions: Pilot Study Applying the Technology Acceptance Model

Implications for Training on Smartphone Medication Reminder App Use by Adults With Chronic Conditions: Pilot Study Applying the Technology Acceptance Model

Authors of this article:

Daniel Y Park1 Author Orcid Image ;   Elizabeth M Goering1 Author Orcid Image ;   Katharine J Head1 Author Orcid Image ;   Rebecca J Bartlett Ellis2 Author Orcid Image
Article Authors Cited by (10) Tweetations (5) Metrics

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  2. Shade M, Boron J, Manley N, Kupzyk K, Pullen C. Ease of Use and Usefulness of Medication Reminder Apps among Rural Aging Adults. Journal of Community Health Nursing 2019;36(3):105 View
  3. Albudoor N, Peña E. Factors influencing US speech and language therapists’ use of technology for clinical practice. International Journal of Language & Communication Disorders 2021;56(3):567 View
  4. Mekonnen Z, Gelaye K, Were M, Tilahun B. Mothers intention and preference to use mobile phone text message reminders for child vaccination in Northwest Ethiopia. BMJ Health & Care Informatics 2021;28(1):e100193 View
  5. Appiah B, Kretchy I, Yoshikawa A, Asamoah-Akuoko L, France C. Perceptions of a mobile phone-based approach to promote medication adherence: A cross-sectional application of the technology acceptance model. Exploratory Research in Clinical and Social Pharmacy 2021;1:100005 View
  6. Diaz-Skeete Y, McQuaid D, Akinosun A, Ekerete I, Carragher N, Carragher L. Analysis of Apps With a Medication List Functionality for Older Adults With Heart Failure Using the Mobile App Rating Scale and the IMS Institute for Healthcare Informatics Functionality Score: Evaluation Study. JMIR mHealth and uHealth 2021;9(11):e30674 View
  7. Shade M, Rector K, Kupzyk K. Voice Assistant Reminders and the Latency of Scheduled Medication Use in Older Adults With Pain: Descriptive Feasibility Study. JMIR Formative Research 2021;5(9):e26361 View
  8. Tegegne M, Endehabtu B, Guadie H, Yilma T. Health Professionals' Attitude Toward the Use of Social Media for COVID-19 Related Information in Northwest Ethiopia: A Cross-Sectional Study. Frontiers in Public Health 2022;10 View
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  10. Park D, Kim H. Determinants of Intentions to Use Digital Mental Healthcare Content among University Students, Faculty, and Staff: Motivation, Perceived Usefulness, Perceived Ease of Use, and Parasocial Interaction with AI Chatbot. Sustainability 2023;15(1):872 View