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First published August 6, 2004 as JAMIA PrePrint; doi:10.1197/jamia.M1460
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J Am Med Inform Assoc. 2004;11:499-504. DOI 10.1197/jamia.M1460.
© 2004 American Medical Informatics Association


Research Paper

Patient Internet Use for Health Information at Three Urban Primary Care Clinics

Suzanne Dickerson, DNS, RN, Amber M. Reinhart, MA, Thomas Hugh Feeley, PhD, Rakesh Bidani, MD, Ellen Rich, MD, Vinod K. Garg, MD and Charles O. Hershey, MD

Affiliations of the authors: School of Nursing (SD); Department of Communication, School of Informatics (AMR, THF); Department of Family Medicine, School of Medicine (THF); Department of General Internal Medicine, School of Medicine (RB, ER, VKG, COH), State University of New York at Buffalo, Buffalo, NY.

Correspondence and reprints: Thomas H. Feeley, PhD, 359 Baldy Hall, State University of New York at Buffalo, Buffalo, NY 14260-1060; e-mail: <thfeeley{at}buffalo.edu>.

Received for publication: 09/16/03; accepted for publication: 06/30/04.

Objective: To survey a cross section of patients presenting to three urban primary care clinics to understand online health information search behaviors.

Design and analysis: At three urban primary care clinics affiliated with University at Buffalo, School of Medicine, 315 patients were interviewed. Interview questions included items on education, demographic information, employment, number of current prescriptions, insurance, online access, and specifics of health-searching behaviors. Chart review determined patient body mass index and number of chronic illnesses. Logistic regression and {chi}2 statistics were used to investigate the relationship between patient characteristics and the proportion of patients who use the Web for seeking health information.

Results: Approximately 53% of respondents reported using Web or e-mail in the past year and 68% (33% of total sample) of those who accessed the Web used it to search for health information. The two most commonly cited search areas included information about a physical illness and nutrition/fitness. Education and race significantly predicted online health-seeking behavior when considering all factors in the study. Many patients (22%) relied on friends and family to navigate the Web, and 45% of patients reported that the information that they sought was unrelated to their clinical visit.

Conclusion: Current use of the Internet for health information was limited among more disadvantaged patient groups. More research is needed to examine the relationship between health-seeking behavior and patients' management of their health and well-being.




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