Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
How Patients Use a Patient Portal: An Institutional Case Study of Demographics and Usage Patterns
56
Zitationen
5
Autoren
2019
Jahr
Abstract
Background Given the widespread electronic health record adoption, there is increasing interest to leverage patient portals to improve care. Objective To determine characteristics of patient portal users and the activities they accessed in the patient portal. Methods We performed a retrospective analysis of patient portal usage at University of California, Los Angeles, Health from July 2014 to May 2015. A total dataset of 505,503 patients was compiled with 396,303 patients who did not register for the patient portal and 109,200 patients who registered for a patient portal account. We compared patients who did not register for the online portal to the top 75th percentile of users based on number of logins, which was done to exclude those who only logged in to register. Finally, to avoid doing statistical analysis on too large of a sample and overpower the analysis, we performed statistical tests on a random sample of 300 patients in each of the two groups. Results Patient portal users tended to be older (49.45 vs. 46.22 years in the entire sample, p = 0.008 in the random sample) and more likely female (62.59 vs. 54.91% in the entire sample, p = 0.035 in the random sample). Nonusers had more monthly emergency room (ER) visits on average (0.047 vs. 0.014, p < 0.001). The most frequently accessed activity on the portal was viewing laboratory results (79.7% of users looked at laboratory results). Conclusion There are differences between patient portal users and nonusers, and further understanding of these differences can serve as foundation for further investigation and possible interventions to drive patient engagement and health outcomes.
Ähnliche Arbeiten
Machine Learning in Medicine
2019 · 3.818 Zit.
Systematic Review: Impact of Health Information Technology on Quality, Efficiency, and Costs of Medical Care
2006 · 3.176 Zit.
Effects of Computerized Clinical Decision Support Systems on Practitioner Performance and Patient Outcomes
2005 · 2.972 Zit.
Studies in health technology and informatics
2008 · 2.903 Zit.
An overview of clinical decision support systems: benefits, risks, and strategies for success
2020 · 2.743 Zit.