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. 2019 Jan;10(1):96-102.
doi: 10.1055/s-0038-1677528. Epub 2019 Feb 6.

How Patients Use a Patient Portal: An Institutional Case Study of Demographics and Usage Patterns

Raymond Tsai  1 , Elijah J Bell 3rd  1   2 , Hawkin Woo  1   3 , Kevin Baldwin  1 , Michael A Pfeffer  1   3
Affiliations

How Patients Use a Patient Portal: An Institutional Case Study of Demographics and Usage Patterns

Raymond Tsai et al. Appl Clin Inform. 2019 Jan.

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.

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Conflict of interest statement

None declared.

Figures

Fig. 1
Fig. 1
Summary of data flow to create datasets for analysis.
See this image and copyright information in PMC

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