The Wired Patient: Patterns of Electronic Patient Portal Use Among Patients With Cardiac Disease or Diabetes
Open accessAbstract
BACKGROUND: As providers develop an electronic health record-based infrastructure, patients are increasingly using Web portals to access their health information and participate electronically in the health care process. Little is known about how such portals are actually used. OBJECTIVE: In this paper, our goal was to describe the types and patterns of portal users in an integrated delivery system. METHODS: We analyzed 12 months of data from Web server log files on 2282 patients using a Web-based portal to their electronic health record (EHR). We obtained data for patients with cardiovascular disease and/or diabetes who had a Geisinger Clinic primary care provider and were registered "MyGeisinger" Web portal users. Hierarchical cluster analysis was applied to longitudinal data to profile users based on their frequency, intensity, and consistency of use. User types were characterized by basic demographic data from the EHR. RESULTS: We identified eight distinct portal user groups. The two largest groups (41.98%, 948/2258 and 24.84%, 561/2258) logged into the portal infrequently but had markedly different levels of engagement with their medical record. Other distinct groups were characterized by tracking biometric measures (10.54%, 238/2258), sending electronic messages to their provider (9.25%, 209/2258), preparing for an office visit (5.98%, 135/2258), and tracking laboratory results (4.16%, 94/2258). CONCLUSIONS: There are naturally occurring groups of EHR Web portal users within a population of adult primary care patients with chronic conditions. More than half of the patient cohort exhibited distinct patterns of portal use linked to key features. These patterns of portal access and interaction provide insight into opportunities for electronic patient engagement strategies.
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Nearly half of US adults who owned a wearable device shared data from their device with a health care provider in 2019.
“nearly half of US adults who owned a wearable device shared data from their device with a health care provider.”
From Wearable Devices, Health Care Use, and Psychological Well-Being in Patients With Atrial Fibrillation (2024) · cites this paper as [32]
The Methods describe MyGeisinger patient-portal logs from 2005–2006, and the Results report portal-use patterns among patients with cardiac disease or diabetes. Searches for wearable devices, data sharing with providers, and a 2019 estimate found no passage about the claimed proportion of US adults. (LLM, conf=0.76)
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- Authors
- Jones, J. B., Weiner, J. P., Shah, N. R., & Stewart, W. F.
- Affiliations
- Sutter Health (US)
- Johns Hopkins University (US)
- Kaiser Permanente (US)
- Corresponding author
- Jones, James Brian
- Venue
- Journal of Medical Internet Research
- Publisher
- JMIR Publications Inc.
- Published
- 2015-02-20
- Volume
- 17
- Issue
- 2
- Pages
- e42
- ISSN
- 1438-8871 (ISSN-L)
- PMC
- PMC4376207
- OpenAlex
- W2062641341
- Cited by
- 49
- References
- 39
- Citations by year
- 2024: 4 · 2023: 1 · 2022: 2 · 2021: 10 · 2020: 5 · 2019: 4 · 2018: 5 · 2017: 12 · 2016: 3 · 2015: 3
- FWCI
- 14.77
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Journal of Medical Internet Research (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Agency for Healthcare Research and Quality (R36 HS016228, 1r36hs016228-01)
- Topics
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Health Sciences › Health Professions › General Health Professions › Health Literacy and Information Accessibility
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Keywords
- patient engagement, cardiovascular disease, diabetes mellitus, chronic disease, electronic health records, web server log analysis, biometric tracking, patient-provider communication, primary care
- MeSH terms
- Adult, Aged, Aged, 80 and over, Diabetes Mellitus, Female, Heart Diseases, Humans, Male, Middle Aged, Pennsylvania, Primary Health Care, Cohort Studies, Telemedicine, Health Records, Personal
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