Modeling Patients' Acceptance of Provider-delivered E-health
- Affiliations of the authors: University of Wisconsin-Milwaukee, Milwaukee, WI (EVW); Michigan State University, East Lansing, MI (NKL)
- Correspondence and reprints: E. Vance Wilson, PhD, University of Wisconsin-Milwaukee, P.O. Box 742, Milwaukee, WI 53201; e-mail: <wilsonv{at}uwm.edu>
- Received 8 October 2003
- Accepted 18 February 2004
Abstract
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.
Footnotes
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A preliminary version of this paper was presented at the 2003 Americas Conference on Information Systems (AMCIS), Tampa, FL, August 6–9, 2003.
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↵* The authors recognize that some disciplines apply alternative naming conventions for applications that we reference collectively as e-health, e.g., consumer informatics2; teleconsulting, teleillustration, and telebooking3; and asynchronous health care communication.4
