Abstract
Background: The World Wide Web has become a widely utilized source of health information. Although the frequency of health related queries is impressive, the demographics associated with patients making queries has not been clearly delineated. Objective: This study's objective was to determine health related Internet usage patterns of family medicine patients. Methods: Internet use among 824 eligible patients 18 years or older attending seven university based family practice clinics during a two week period in November of 1999 was studied. The survey instrument included 10 items and was designed to collect data in less than five minutes using a paper and pencil format. Statistical significance associated with intended Web site use was computed using a multiple logistic regression model. Results: A response rate of 72.2% was observed with 63.1% being females and 36.9% being males. The mean and median age were 44.0 and 45.7 years, respectively. A steady decline in intended Web site use was observed with advancing age with significant differences observed above 65 years (OR = 0.30; 95% CI = 0.14-0.64; p<.002). Other significant findings associated with intended use of a Web site by clinic based patients included having a home computer (OR = 1.99; 95%, CI = 1.05-3.76; p<0.03) and having Internet access at home (OR=5.6, 95%, CI = 2.83-11.18; p<.001). A lack of association between intended Web site use and health insurance status was observed. Conclusions: Results from this study suggest that Web sites are not likely to be alternative sources of health information for the uninsured or elderly in the near future.
Original language | English |
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Pages (from-to) | 62-70 |
Number of pages | 9 |
Journal | Journal of Medical Internet Research |
Volume | 3 |
Issue number | 2 |
DOIs | |
State | Published - 2001 |
Keywords
- Age Factors
- Attitude to Computers
- Digital Divide
- Family Practice
- Health Behavior
- Health Education/methods
- Internet/utilization
- Logistic Models
- Odds Ratio
- Patients/statistics & numerical data
- Questionnaires
- Socioeconomic Factors
- Surveys