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. 2014 Sep;10(5):e307-12.
doi: 10.1200/JOP.2013.001347. Epub 2014 Jul 8.

Predictors and intensity of online access to electronic medical records among patients with cancer

Affiliations

Predictors and intensity of online access to electronic medical records among patients with cancer

David E Gerber et al. J Oncol Pract. 2014 Sep.

Abstract

Introduction: Electronic portals are secure Web-based servers that provide patients with real-time access to their personal health record (PHR). These applications are now widely used at cancer centers nationwide, but their impact has not been well studied. This study set out to determine predictors and patterns of use of a Web-based portal for accessing PHRs and communicating with health providers among patients with cancer.

Methods: Retrospective analysis of enrollment in and use of MyChart, a PHR portal for the Epic electronic medical record system, among patients seen at a National Cancer Institute-designated cancer center. Predictors of MyChart use were analyzed through univariable and multivariable regression models.

Results: A total of 6,495 patients enrolled in MyChart from 2007 to 2012. The median number of log-ins over this period was 57 (interquartile range 17-137). The most common portal actions were viewing test results (37%), viewing and responding to clinic messages (29%), and sending medical advice requests (6.4%). Increased portal use was significantly associated with younger age, white race, and an upper aerodigestive malignancy diagnosis. Thirty-seven percent of all log-ins and 31% of all medical advice requests occurred outside clinic hours. Over the study period, the average number of patient log-ins per year more than doubled.

Conclusions: Among patients with cancer, PHR portal use is frequent and increasing. Younger patients, white patients, and patients with upper aerodigestive malignancies exhibit the heaviest portal use. Understanding the implications of this new technology will be central to the delivery of safe and effective care.

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Figures

Figure 1.
Figure 1.
MyChart activity. (A) Number of log-ins per patient enrolled in MyChart, (B) Frequency of MyChart actions.
Figure A1.
Figure A1.
Number of active patients and total MyChart log-ins by year, timing of MyChart activity.

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