ArticleJournal of the American Medical Informatics Association : JAMIA2017
Information technology to support patient engagement: where do we stand and where can we go?
Article in Journal of the American Medical Informatics Association : JAMIA, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
27 citing papers in PubMed.
- Effectiveness of virtual reality assisted active limb movement exercises for patients in the respiratory intensive care unit: a randomized pilot study.Journal of rehabilitation medicine · 2025Trial
- Effect of In-Person vs Video Training and Access to All Functions vs a Limited Subset of Functions on Portal Use Among Inpatients: A Randomized Clinical Trial.JAMA network open · 2022Trial
- Engaging hospitalized patients with personalized health information: a randomized trial of an inpatient portal.Journal of the American Medical Informatics Association : JAMIA · 2019Trial
- Willingness to Share Smartwatch-Generated Health Data Among a Sample of Adults in Riyadh, Saudi Arabia.Healthcare (Basel, Switzerland) · 2026Article
- Understanding Patients' Experiences of Digital Ethics in a Digitalised Healthcare System.Nursing open · 2026Article
- A trial of a chat service for patients and their family members in an emergency department.BMC health services research · 2024Article
- Article
- Experience of a tertiary acute care hospital in Southeast Asia in initiating patient engagement with the aid of digital solutions.Frontiers in health services · 2024Article
- Implementation of an Automated Phone Call Distribution System in an Inpatient Pharmacy Setting.Federal practitioner : for the health care professionals of the VA, DoD, and PHS · 2023Article
- Patient Perspectives and Preferences for Consent in the Digital Health Context: State-of-the-art Literature Review.Journal of medical Internet research · 2023Review
- Improvement and Evaluation of the TOPCOP Taxonomy of Patient Portals: Taxonomy-Evaluation-Delphi (TED) Approach.Journal of medical Internet research · 2021Article
- Development and Validation of a Useful Taxonomy of Patient Portals Based on Characteristics of Patient Engagement.Methods of information in medicine · 2021Article
- Improving the impact of clinical documentation through patient-driven co-design: experiences with cancer pathology reports.BMJ health & care informatics · 2020Article
- Tracing the Decisions That Shaped the Development of MyChart, an Electronic Patient Portal in Alberta, Canada: Historical Research Study.Journal of medical Internet research · 2020Article
- Exploring the Digital Divide: Age and Race Disparities in Use of an Inpatient Portal.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2020Article
- Ready for Prime Time? Using Normalization Process Theory to Evaluate Implementation Success of Personal Health Records Designed for Decision Making.Frontiers in digital health · 2020Article
- Postvaccination Fever Response Rates in Children Derived Using the Fever Coach Mobile App: A Retrospective Observational Study.JMIR mHealth and uHealth · 2019Observational
- The Role of Participants in a Medical Information Commons.The Journal of law, medicine & ethics : a journal of the American Society of Law, Medicine & Ethics · 2019Article
- Is Blockchain Technology Suitable for Managing Personal Health Records? Mixed-Methods Study to Test Feasibility.Journal of medical Internet research · 2019Article
- Inpatient portal clusters: identifying user groups based on portal features.Journal of the American Medical Informatics Association : JAMIA · 2019Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
objectiveGiven the strong push to empower patients and make them partners in their health care, we evaluated the current capability of hospitals to offer health information technology that facilitates patient engagement (PE). MATERIALS AND
methodsUsing an ontology mapping approach, items from the American Hospital Association Information Technology Supplement were mapped to defined levels and categories within the PE Framework. Points were assigned for each health information technology function based upon the level of engagement it encompassed to create a PE-information technology (PE-IT) score. Scores were divided into tertiles, and hospital characteristics were compared across tertiles. An ordered logit model was used to estimate the effect of characteristics on the adjusted odds of being in the highest tertile of PE-IT scores.
resultsThirty-six functions were mapped to specific levels and categories of the PE Framework, and adoption of each item ranged from 23.5 to 96.7%. Hospital characteristics associated with being in the highest tertile of PE-IT scores included medium and large bed size (relative to small), nonprofit (relative to government nonfederal), teaching hospital, system member, Midwest and South regions, and urban location. DISCUSSION: Hospital adoption of PE-oriented technology remains varied, suggesting that hospitals are considering how technology can create partnerships with patients. However, PE functionalities that facilitate higher levels of engagement are lacking, suggesting room for improvement.
conclusionWhile hospitals have reached modest levels of adoption of PE technologies, consistent monitoring of this capacity can identify opportunities to use technology to facilitate engagement.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.