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

Digital Health Reviews (1289) Adoption and Change Management of eHealth Systems (712)

Published on in Vol 21, No 10 (2019): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/14683, first published .
Using Patient and Family Engagement Strategies to Improve Outcomes of Health Information Technology Initiatives: Scoping Review

Using Patient and Family Engagement Strategies to Improve Outcomes of Health Information Technology Initiatives: Scoping Review

Using Patient and Family Engagement Strategies to Improve Outcomes of Health Information Technology Initiatives: Scoping Review

Authors of this article:

Kevin Leung1 Author Orcid Image ;   Drew Lu-McLean2 Author Orcid Image ;   Craig Kuziemsky3 Author Orcid Image ;   Richard G Booth4 Author Orcid Image ;   Sarah Collins Rossetti5 Author Orcid Image ;   Elizabeth Borycki6 Author Orcid Image ;   Gillian Strudwick1 Author Orcid Image
Article Authors Cited by (24) Tweetations (20) Metrics

Journals

  1. Lo B, Zhang T, Leung K, Mehta R, Kuziemsky C, Booth R, Chyjek A, Rossetti S, McLean D, Borycki E, McLay D, Noble J, Carter S, Strudwick G. Identifying best approaches for engaging patients and family members in health informatics initiatives: a case study of the Group Priority Sort technique. Research Involvement and Engagement 2020;6(1) View
  2. Ross E, Jamison R, Nicholls L, Perry B, Nolen K. Clinical Integration of a Smartphone App for Patients With Chronic Pain: Retrospective Analysis of Predictors of Benefits and Patient Engagement Between Clinic Visits. Journal of Medical Internet Research 2020;22(4):e16939 View
  3. Beswick D, Saavedra M. Stakeholder feedback informs investigations for chronic rhinosinusitis in cystic fibrosis. International Forum of Allergy & Rhinology 2021;11(1):79 View
  4. Sheikh A, Anderson M, Albala S, Casadei B, Franklin B, Richards M, Taylor D, Tibble H, Mossialos E. Health information technology and digital innovation for national learning health and care systems. The Lancet Digital Health 2021;3(6):e383 View
  5. Giannouchos T, Ferdinand A, Ilangovan G, Ragan E, Nowell W, Kum H, Schmit C. Identifying and prioritizing benefits and risks of using privacy-enhancing software through participatory design: a nominal group technique study with patients living with chronic conditions. Journal of the American Medical Informatics Association 2021;28(8):1746 View
  6. Shen N, Jankowicz D, Strudwick G. Patient and Family Engagement Approaches for Digital Health Initiatives: Protocol for a Case Study. JMIR Research Protocols 2021;10(7):e24274 View
  7. Almutairi N, Vlahu-Gjorgievska E, Win K. Persuasive features for patient engagement through mHealth applications in managing chronic conditions: A systematic literature review and meta-analysis. Informatics for Health and Social Care 2023;48(3):267 View
  8. Jacobsohn G, Leaf M, Liao F, Maru A, Engstrom C, Salwei M, Pankratz G, Eastman A, Carayon P, Wiegmann D, Galang J, Smith M, Shah M, Patterson B. Collaborative design and implementation of a clinical decision support system for automated fall-risk identification and referrals in emergency departments. Healthcare 2022;10(1):100598 View
  9. Hyde Z, Roura R, Varanasi K, McGinn T, Evans J, Verschoore B, Yang C, Labrique A, Ricketts E, Rothman R, Latkin C, Hsieh Y. Human-centered design development of mHealth patient-to-peer referral tool in the emergency department. DIGITAL HEALTH 2022;8:205520762211432 View
  10. Rajamani G, Rodriguez Espinosa P, Rosas L. Intersection of Health Informatics Tools and Community Engagement in Health-Related Research to Reduce Health Inequities: Scoping Review. Journal of Participatory Medicine 2021;13(3):e30062 View
  11. Shen N, Kassam I, Chen S, Ma C, Wang W, Boparai N, Jankowicz D, Strudwick G. Canadian perspectives of digital mental health supports: Findings from a national survey conducted during the COVID-19 pandemic. DIGITAL HEALTH 2022;8:205520762211022 View
  12. Knaub R, Evans J, Yang C, Roura R, McGinn T, Verschoore B, Ricketts E, Rothman R, Latkin C, Hsieh Y. A pilot study of a mixed-method approach to design an ED-based peer mHealth referral tool for HIV/HCV and opioid overdose prevention services. Drug and Alcohol Dependence 2022;238:109585 View
  13. Heginbotham L, Baugh G, Lefeber T, Friehling L, Barnhart C, Miller L, Moore L, Cottrell L. A parent-led, patient-centered medical home model instruction for interprofessional undergraduate and graduate learning opportunities. Medical Education Online 2022;27(1) View
  14. Krieger M, Machado M, Oliveira L, Rosa K, Simões A, Gonçalves F. “Prefiro estar assim do que não estar”. Revista da Sociedade Brasileira de Psicologia Hospitalar 2023;25(2):68 View
  15. Heydarikhayat N, Ashktorab T, Zayeri F, Rohani C. Efficacy of a Home Care Plan in the Mental Health of Burn Survivors: A Randomized Clinical Trial. Progress in Psychiatry and Behavioral Sciences 2023;In Press(In Press) View
  16. Ben-Tzur D, Sabovich S, Hutzler Y, Rimon J, Zach S, Epstein M, Vadasz B, Diniz C, Nabutovsky I, Klempfner R, Eilat-Adar S, Gabizon I, Menachemi D, Grosman-Rimon L. Advances in Technology Promote Patient-Centered Care in Cardiac Rehabilitation. Cardiology in Review 2023 View
  17. R. Deepalakshmi , J. Jeyarani , K. Balamurugan , R. Gokul , S. Krishnamoorthi , Kanchu Lokesh . Efficiency and Effectiveness of Feedback Management in E-Commerce using Machine Learning Algorithm. Journal of Information Technology and Digital World 2023;5(4):341 View
  18. Heydarikhayat N, Ashktorab T, Zayeri F, Rohani C. Efficacy of a Home Care Plan in the Mental Health of Burn Survivors: A Randomized Clinical Trial. Iranian Journal of Psychiatry and Behavioral Sciences 2023;17(2) View
  19. Yu J, Shen N, Conway S, Hiebert M, Lai-Zhao B, McCann M, Mehta R, Miranda M, Putterman C, Santisteban J, Thomson N, Young C, Chiuccariello L, Hunter K, Hill S. A holistic approach to integrating patient, family, and lived experience voices in the development of the BrainHealth Databank: a digital learning health system to enable artificial intelligence in the clinic. Frontiers in Health Services 2023;3 View
  20. Moreira A, Husain A, Knake L, Aziz K, Simek K, Valadie C, Pandillapalli N, Trivino V, Barry J. A clinical informatics approach to bronchopulmonary dysplasia: current barriers and future possibilities. Frontiers in Pediatrics 2024;12 View
  21. Jiang Y, Hwang M, Cho Y, Friese C, Hawley S, Manojlovich M, Krauss J, Gong Y. The Acceptance and Use of Digital Technologies for Self-Reporting Medication Safety Events After Care Transitions to Home in Patients With Cancer: Survey Study. Journal of Medical Internet Research 2024;26:e47685 View
  22. Almutairi N, Vlahu-Gjorgievska E, Win K. mHealth Asthma Management App’s Content Creation, Stakeholders’ Values and Design Features. International Journal of Human–Computer Interaction 2024:1 View
  23. Rosa D, Villa G, Marcomini I, Nardin E, Gianfranceschi E, Faini A, Pengo M, Bilo G, Croce A, Manara D, Parati G. Psychometric Properties of the TWente Engagement with Ehealth Technologies Scale (TWEETS) Among Patients with Hypertension in Italy. High Blood Pressure & Cardiovascular Prevention 2024 View

Books/Policy Documents

  1. Weis A, Pohlmann S. Foundations of Health Services Research. View