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Internet Access Influences Community Clinic Portal Use

Bibliographic Data

ID19578371
AuthorsRuth A Bush (0000-0002-1610-132X, University of San Diego, corresponding author), Halsey Barlow (University of San Diego), Alexa Pérez (University of San Diego), Bianca Vazquez (University of San Diego), Jonathan Mack (University of San Diego), Cynthia D Connelly (0000-0001-5726-5905, University of San Diego)
Year2018
Volume2
Issue1
Pages161-166
Publication date2018-08-01
Open AccessYes
TypeARTICLE
VenueHealth Equity (JOURNAL)
Journal identifiersISSN: 2473-1242 • E-ISSN: 2473-1242
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1089/heq.2018.0019
PMID30283863
OpenAlexW2886437652
LanguageEN
References cited22

Purpose: To assess whether individuals attending a community clinic had the necessary Internet access and experience to use the patient portal, while examining covariates of education, income, and self-perception of health with past and anticipated portal use. Methods: Adults attending an urban, community primary care clinic were invited to participate in a brief survey assessing current Internet access and use, past portal use, and anticipated future portal use. Survey responses were analyzed using descriptive and multivariate statistics. Results: One hundred fifteen participants ranging in age from 18 to 84 years (mean 42.1, standard deviation 17.1) completed the survey; 6 (5%) in Spanish. Thirty-five (30%) self-identified as Latino; 12 (10%) as Asian; and 20 (17%) as other. Almost 80% reported their health as good or better. Although 38% reported some college and 47% reported being college graduates, 60% reported household incomes were 1 year. Fewer than half (42%) had past portal use, with significant differences associated with weekly Internet use (Fisher's exact=9.59; p=0.02) and smart phone access (Fisher's exact=6.15; p=0.02). Computer Internet access was significantly associated with income (Fisher's exact=16.91; p<0.001). Logistic regression identified that computer Internet access was a significant predictor (odds ratio 9.9 (95% confidence interval: 1.7–58.8) of future portal use, controlling for smart phone use, health status, gender, and age. Conclusions: Among this highly educated but lower economic sample, computer Internet access and smart phone access were associated with past portal use and anticipated future use

Confidence interval · Descriptive statistics · Family medicine · Internet access · Logistic regression · Odds ratio · Phone · Statistics · The Internet · World Wide Web · Computer Science · Demography · Health Literacy and Information Accessibility · Healthcare Systems and Technology · Medicine · Mobile Health and mHealth Applications · Gerontology · Internal Medicine

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