Access the full text.
Sign up today, get DeepDyve free for 14 days.
Loading next page...
/lp/oxford-university-press/modeling-patients-acceptance-of-provider-delivered-e-health-CdnC9Eiodf
References (48)
-
(1981)
Analyzing models with unobserved variables -
F. Pinciroli (2001)
A manifesto on telehealth and telemedicine.Journal of the American Medical Informatics Association : JAMIA, 8 4
-
Fred Davis, R. Bagozzi, P. Warshaw (1989)
User Acceptance of Computer Technology: A Comparison of Two Theoretical ModelsManagement Science, 35
-
J. Ende, L. Kazis, A. Ash, M. Moskowitz (1989)
Measuring patients' desire for autonomy: decision making and information-seeking preferences among medical patients.Journal of general internal medicine, 4 1
-
C. Malcolm (2001)
Five e-business strategies you can take to the bank.Healthcare financial management : journal of the Healthcare Financial Management Association, 55 9
-
BI2: I predict I will use -
H. Rubin, B. Gandek, W. Rogers, M. Kosinski, C. McHorney, J. Ware (1993)
Patients' ratings of outpatient visits in different practice settings. Results from the Medical Outcomes Study.JAMA, 270 7
-
S. Prady, Deirdre Norris, John Lester, D. Hoch (2001)
Implementation Brief: Expanding the Guidelines for Electronic Communication with Patients: Application to a Specific ToolJournal of the American Medical Informatics Association : JAMIA, 8 4
-
D. Cook (2002)
E-Health, Telehealth and TelemedicineTelemedicine Journal and E-health, 8
-
Frederick Brooks (1975)
The Mythical Man-Month -
M. Browne, R. Cudeck (1992)
Alternative Ways of Assessing Model FitSociological Methods & Research, 21
-
E. Kerr, Ron Hays, Martin Lee, A. Siu (1998)
Does Dissatisfaction with Access to Specialists Affect the Desire to Leave a Managed Care Plan?Medical Care Research and Review, 55
-
Health Care Industry Trends and Market Analysis -
(1975)
Belief Ajzen I. Attitude, Intention, and Behavior -
Using [e-health] will enhance my effectiveness in managing my health care -
V. Venkatesh, C. Speier, Michael Morris (2002)
User Acceptance Enablers in Individual Decision Making About Technology: Toward an Integrated ModelDecis. Sci., 33
-
B. Kaplan, P. Brennan (2001)
White Paper: Consumer Informatics Supporting Patients as Co-Producers of QualityJournal of the American Medical Informatics Association : JAMIA, 8 4
-
Tom Ferguson (2000)
Online patient-helpers and physicians working together: a new partnership for high quality health careBMJ : British Medical Journal, 321
-
G. Demiris, S. Finkelstein, S. Speedie (2001)
Review: Considerations for the Design of a Web-based Clinical Monitoring and Educational System for Elderly PatientsJournal of the American Medical Informatics Association : JAMIA, 8 5
-
E. Wilson (2003)
Asynchronous health care communicationCommun. ACM, 46
-
Cynthia Jackson, Simeon Chow, R. Leitch (1997)
Toward an Understanding of the Behavioral Intention to Use an Information SystemDecision Sciences, 28
-
D. Fallis, Martin Frické (2002)
Research Paper: Indicators of Accuracy of Consumer Health Information on the Internet: A Study of Indicators Relating to Information for Managing Fever in Children in the HomeJournal of the American Medical Informatics Association : JAMIA, 9 1
-
(2001)
Separating myth from reality in e-health initiatives -
Fred Davis (1989)
Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information TechnologyMIS Q., 13
-
F. Payton, P. Brennan (1999)
How a community health information network is really usedCommun. ACM, 42
-
P. Hu, Patrick Chau, O. Sheng, K. Tam (1999)
Examining the Technology Acceptance Model Using Physician Acceptance of Telemedicine TechnologyJ. Manag. Inf. Syst., 16
-
D. Masys, D. Baker, A. Butros, K. Cowles (2002)
Research Paper: Giving Patients Access to Their Medical Records via the Internet: The PCASSO ExperienceJournal of the American Medical Informatics Association : JAMIA, 9 2
-
Malcolm Cl (2001)
Five e-business strategies you can take to the bank.Journal of the Healthcare Financial Management Association, 55
-
G. Marshall, R. Hays, C. Sherbourne, K. Wells (1993)
The Structure of Patient Satisfaction with Outpatient Medical Care. -
E. Wilson, Nancy Lankton (2003)
Strategic implications of asynchronous healthcare communicationInternational Journal of Healthcare Technology and Management, 5
-
V. Venkatesh, Fred Davis (1996)
A Model of the Antecedents of Perceived Ease of Use: Development and Test†Decision Sciences, 27
-
Diana Suhr (2006)
The Basics of Structural Equation Modeling -
J. John (1992)
Patient satisfaction: the impact of past experience.Journal of health care marketing, 12 3
-
Fred Davis, R. Bagozzi, P. Warshaw (1992)
Extrinsic and Intrinsic Motivation to Use Computers in the Workplace1Journal of Applied Social Psychology, 22
-
W. Strull, B. Lo, G. Charles (1984)
Do patients want to participate in medical decision making?JAMA, 252 21
-
Nease Rf, Brooks Wb (1995)
Patient desire for information and decision making in health care decisions: the Autonomy Preference Index and the Health Opinion Survey.Journal of General Internal Medicine, 10
-
C. Sherbourne, Ron Hays, Lynn Ordway, M. Dimatteo, R. Kravitz (1992)
Antecedents of adherence to medical recommendations: Results from the medical outcomes studyJournal of Behavioral Medicine, 15
-
Fred Davis (1993)
User Acceptance of Information Technology: System Characteristics, User Perceptions and Behavioral ImpactsInt. J. Man Mach. Stud., 38
-
Counting on the Internet -
I. Ajzen, M. Fishbein (1980)
Understanding Attitudes and Predicting Social Behavior -
R. Deber, N. Kraetschmer, J. Irvine (1996)
What role do patients wish to play in treatment decision making?Archives of internal medicine, 156 13
-
Richard, P., Bagozzi, Paul, R. Warshaw
Extrinsic and Intrinsic Motivation to Use Computers in the Workplace -
T. Bodenheimer, K. Grumbach (2003)
Electronic technology: a spark to revitalize primary care?JAMA, 290 2
-
(2004)
Healthcare satisfaction study final report -
Weiyin Hong, J. Thong, Wai-Man Wong, K. Tam (2002)
Determinants of User Acceptance of Digital Libraries: An Empirical Examination of Individual Differences and System CharacteristicsJournal of Management Information Systems, 18
-
(2002)
A healthy flow of information -
D. Gefen, D. Straub (1997)
Gender Differences in the Perception and Use of E-Mail: An Extension to the Technology Acceptance ModelMIS Q., 21
-
Blair Sheppard, J. Hartwick, P. Warshaw (1988)
The Theory of Reasoned Action: A Meta-Analysis of Past Research with Recommendations for Modifications and Future ResearchJournal of Consumer Research, 15
- Publisher
- Oxford University Press
- Copyright
- American Medical Informatics Association
- ISSN
- 1067-5027
- eISSN
- 1527-974X
- DOI
- 10.1197/jamia.M1475
- pmid
- 15064290
- Publisher site
- See Article on Publisher Site
Abstract
AbstractObjective: 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.
Journal
Journal of the American Medical Informatics Association – Oxford University Press
Published: Jul 1, 2004