PubMed · 14574185
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Denise K Ferrell, Cynthia L DeBord. 2003. Make computer-based training user-friendly.. https://pubmed.ncbi.nlm.nih.gov/14574185/
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OBJECTIVE: Health care providers are beginning to deliver a range of Internet-based services to patients; however, it is not clear which of these e-health services patients need or desire. The authors propose that patients' acceptance of provider-delivered e-health can be modeled in advance of application development by measuring the effects of several key antecedents to e-health use and applying models of acceptance developed in the information technology (IT) field. DESIGN: This study tested three theoretical models of IT acceptance among patients who had recently registered for access to provider-delivered e-health. MEASUREMENTS: An online questionnaire administered items measuring perceptual constructs from the IT acceptance models (intrinsic motivation, perceived ease of use, perceived usefulness/extrinsic motivation, and behavioral intention to use e-health) and five hypothesized antecedents (satisfaction with medical care, health care knowledge, Internet dependence, information-seeking preference, and health care need). Responses were collected and stored in a central database. RESULTS: All tested IT acceptance models performed well in predicting patients' behavioral intention to use e-health. Antecedent factors of satisfaction with provider, information-seeking preference, and Internet dependence uniquely predicted constructs in the models. CONCLUSION: Information technology acceptance models provide a means to understand which aspects of e-health are valued by patients and how this may affect future use. In addition, antecedents to the models can be used to predict e-health acceptance in advance of system development.
OBJECTIVE: This study quantified the ease of use for patients and providers of a microcomputer-based, computer-assisted interview (CAI) system for the serial collection of the American College of Rheumatology Patient Assessment (ACRPA) questionnaire in routine outpatient clinical care in an urban rheumatology clinic. DESIGN: A cross-sectional survey was used. MEASUREMENTS: The answers of 93 respondents to a computer use questionnaire mailed to the 130 participants of a previous validation study of the CAI system were analyzed. For a 30-month period, the percentage of patient visits during which complete ACRPA questionnaire data were obtained with the system was determined. RESULTS: The computer system provided cost and labor savings in the collection of 2,476 questionnaires for 2,964 patients visits over 30 months for a capture rate of 83.5%. In the last 12 of those months, 1,035 questionnaires were collected for 1,062 patient visits (97.5% capture). There were no missing data. The prestudy capture rate was 13.5%, with 33% of surveys having complete data. Patients rated the overall usability of the system as good (mean = 1.34, standard deviation = 0.61) on a scale of 0-2, where 2 = good, but expressed difficulty with mouse manipulation and concerns about the privacy of the data entry environment. CONCLUSION The system proved easy to use and cost-effective for the (mostly) unaided self-entry of self-report data for each patient for each visit in routine outpatient clinical care in an urban rheumatology clinic.