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

Personal Health Records, Patient-Accessible Electronic Health Records, Patient Portals (573) Participatory Medicine & E-Patients (773) Adoption and Change Management of eHealth Systems (712)

Published on in Vol 22, No 10 (2020): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17499, first published .
Patients’ Adoption of Electronic Personal Health Records in England: Secondary Data Analysis

Patients’ Adoption of Electronic Personal Health Records in England: Secondary Data Analysis

Patients’ Adoption of Electronic Personal Health Records in England: Secondary Data Analysis

Authors of this article:

Alaa Abd-Alrazaq1 Author Orcid Image ;   Ali Abdallah Alalwan2 Author Orcid Image ;   Brian McMillan3 Author Orcid Image ;   Bridgette M Bewick4 Author Orcid Image ;   Mowafa Househ1 Author Orcid Image ;   Alaa T AL-Zyadat2 Author Orcid Image
Article Authors Cited by (12) Tweetations (4) Metrics

Journals

  1. Luo Y, Dozier K, Ikenberg C. Human-Technology Interaction Factors Associated With the Use of Electronic Personal Health Records Among Younger and Older Adults: Secondary Data Analysis. Journal of Medical Internet Research 2021;23(10):e27966 View
  2. Yousef C, Salgado T, Farooq A, Burnett K, McClelland L, Thomas A, Alenazi A, Abu Esba L, AlAzmi A, Alhameed A, Hattan A, Elgadi S, Almekhloof S, AlShammary M, Alanezi N, Alhamdan H, Khoshhal S, DeShazo J. Predicting Patients’ Intention to Use a Personal Health Record Using an Adapted Unified Theory of Acceptance and Use of Technology Model: Secondary Data Analysis. JMIR Medical Informatics 2021;9(8):e30214 View
  3. Yousef C, Salgado T, Farooq A, Burnett K, McClelland L, Abu Esba L, Alhamdan H, Khoshhal S, Aldossary I, Alyas O, DeShazo J. Health Care Providers’ Acceptance of a Personal Health Record: Cross-sectional Study. Journal of Medical Internet Research 2021;23(10):e31582 View
  4. Yousef C, Salgado T, Farooq A, Burnett K, McClelland L, Abu Esba L, Alhamdan H, Khoshhal S, Aldossary I, Alyas O, DeShazo J. Predicting Health Care Providers' Acceptance of a Personal Health Record Secure Messaging Feature. Applied Clinical Informatics 2022;13(01):148 View
  5. Dutta B. What Motivates People to Adopt Personal Health Record? Understanding the Effect of Innovation and Context-Specific Threat on Personal Health Record Adoption Intention. International Journal of Human–Computer Interaction 2024;40(17):4831 View
  6. Scaioli G, Martella M, Lo Moro G, Prinzivalli A, Guastavigna L, Scacchi A, Butnaru A, Bert F, Siliquini R. Knowledge, Attitudes, and Practices about Electronic Personal Health Records: A Cross-Sectional Study in a Region of Northern Italy. Journal of Medical Systems 2024;48(1) View
  7. Zemariam A, Yimer A, Abebe G, Wondie W, Abate B, Alamaw A, Yilak G, Melaku T, Ngusie H. Employing supervised machine learning algorithms for classification and prediction of anemia among youth girls in Ethiopia. Scientific Reports 2024;14(1) View
  8. Changchit C, Cutshall R, Pham L. Unveiling the Path to Mobile Payment Adoption: Insights from Thai Consumers. Journal of Risk and Financial Management 2024;17(8):315 View
  9. Durocher K, Shin H, Jackson K, Strudwick G. Women’s experiences of using patient portals in healthcare settings: a rapid review. BMC Women's Health 2024;24(1) View
  10. Zemariam A, Abey W, Kassaw A, Yimer A. Comparative analysis of machine learning algorithms for predicting diarrhea among under-five children in Ethiopia: Evidence from 2016 EDHS. Health Informatics Journal 2024;30(3) View
  11. Muli I, Cajander Å, Hvitfeldt H, Lagerros Y, Söderberg D, Sjöblom L, Dahlgren A, Bertilson B, Farrokhnia N, Amer-Wåhlin I, Taloyan M, Hägglund M. To read or not to read – A cross-sectional study of Swedish primary care patients’ adoption of patient accessible electronic health records. DIGITAL HEALTH 2024;10 View