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

Email Communication, Web-Based Communication, Secure Messaging (147) Personal Health Records, Patient-Accessible Electronic Health Records, Patient Portals (542) Clinical Communication, Electronic Consultation and Telehealth (549)

Published on in Vol 20, No 7 (2018): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9269, first published .
Examining the Complexity of Patient-Outpatient Care Team Secure Message Communication: Qualitative Analysis

Examining the Complexity of Patient-Outpatient Care Team Secure Message Communication: Qualitative Analysis

Examining the Complexity of Patient-Outpatient Care Team Secure Message Communication: Qualitative Analysis

Authors of this article:

Holly Jordan Lanham1, 2, 3 Author Orcid Image ;   Luci K Leykum1, 2, 3 Author Orcid Image ;   Jacqueline A Pugh1, 3 Author Orcid Image
Article Authors Cited by (12) Tweetations (6) Metrics

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  1. Chen J, Lalor J, Liu W, Druhl E, Granillo E, Vimalananda V, Yu H. Detecting Hypoglycemia Incidents Reported in Patients’ Secure Messages: Using Cost-Sensitive Learning and Oversampling to Reduce Data Imbalance. Journal of Medical Internet Research 2019;21(3):e11990 View
  2. O’Shea A, Batten A, Hu E, Augustine M, Hogan T, Kaboli P. Association of Secure Messaging with Primary Care In-Person and Telephone Visits Among Veterans: a Matched Difference-in-Difference Analysis. Journal of General Internal Medicine 2021;36(4):946 View
  3. Heisey-Grove D, McClelland L, Rathert C, Tartaglia A, Jackson K, DeShazo J. Associations Between Patient Health Outcomes and Secure Message Content Exchanged Between Patients and Clinicians: Retrospective Cohort Study. Journal of Medical Internet Research 2020;22(10):e19477 View
  4. Nguyen O, Alishahi Tabriz A, Huo J, Hanna K, Shea C, Turner K. Impact of Asynchronous Electronic Communication–Based Visits on Clinical Outcomes and Health Care Delivery: Systematic Review. Journal of Medical Internet Research 2021;23(5):e27531 View
  5. Mastorakos G, Khurana A, Huang M, Fu S, Tafti A, Fan J, Liu H. Probing Patient Messages Enhanced by Natural Language Processing: A Top-Down Message Corpus Analysis. Health Data Science 2021;2021 View
  6. Chen J, Wijesundara J, Enyim G, Lombardini L, Gerber B, Houston T, Sadasivam R. Understanding Patients’ Intention to Use Digital Health Apps That Support Postdischarge Symptom Monitoring by Providers Among Patients With Acute Coronary Syndrome: Survey Study. JMIR Human Factors 2022;9(1):e34452 View
  7. Heisey-Grove D, Rathert C, McClelland L, Jackson K, DeShazo J. Patient and Clinician Characteristics Associated With Secure Message Content: Retrospective Cohort Study. Journal of Medical Internet Research 2021;23(8):e26650 View
  8. Heisey-Grove D, McClelland L, Rathert C, Jackson K, DeShazo J. Associations Between Patient–Provider Secure Message Content and Patients' Health Care Visits. Telemedicine and e-Health 2022;28(5):690 View
  9. Carroll Á, Collins C, McKenzie J, Stokes D, Darley A. Application of complexity theory in health and social care research: a scoping review. BMJ Open 2023;13(3):e069180 View
  10. Hamzehpour H, Ashktorab T, Esmaeili M. Safe acceptance in the nurses’ cultural care of medical tourists in Iran: a qualitative study. BMC Health Services Research 2023;23(1) View
  11. Roscoe R, Balyan R, McNamara D, Banawan M, Schillinger D. Automated strategy feedback can improve the readability of physicians’ electronic communications to simulated patients. International Journal of Human-Computer Studies 2023;176:103059 View
  12. Urquhart C, Cheuk B, Lam L, Snowden D. Sense‐making, sensemaking and sense making—A systematic review and meta‐synthesis of literature in information science and education: An Annual Review of Information Science and Technology (ARIST) paper. Journal of the Association for Information Science and Technology 2024 View