Consumers' Health Information and Services Usage Behavior on the Internet: A Structural Equation Modeling Approach

2.50
Hdl Handle:
http://hdl.handle.net/10755/163367
Category:
Abstract
Type:
Presentation
Title:
Consumers' Health Information and Services Usage Behavior on the Internet: A Structural Equation Modeling Approach
Author(s):
An, Ji-Young
Author Details:
Ji-Young An, RN, MPH, PhD, Full-time Faculty, New York University College of Nursing, New York, New York, USA, email: jya206@nyu.edu
Abstract:
Purpose: The purpose of this study was to explain and predict consumers' health information and services usage behavior on the Internet. Theoretical Framework: The Technology Acceptance Model (TAM) with additional constructs of perceived playfulness, compatibility, and Web site loyalty, labeled the Information and Communication Technology Acceptance Model (ICTAM), was developed and tested. Methods (Design, Sample, Setting, Measures, Analysis): A descriptive survey design employing a Web-based questionnaire was used. Individuals who received a flyer through the LISTSERV of "HealthGuide", a website that provides people with health information and services, were eligible to participate. The study population was eighteen years old and older who had used Internet health information and services for a minimum of 6 months. Descriptive statistics, principal component analysis, stepwise multiple regression analysis, confirmatory factor analysis, and a structural equation modeling were employed. Results: More than half of the respondents were women (n=110, 55%). The average age of the respondents was 35.16 years (S.D.=10.07). A majority reported at least some college education (n=126, 63%). All of the observed factors included in ICTAM accounted for 75.53% of the total variance explained. The results indicated that ICTAM produced measurement and structural models with adequate fits. The fit indices of the structural model were within an acceptable range: ?2/df=2.38 (? 2=1786.31, df=752); GFI=.71; RMSEA=.08; CFI=.86; NFI=.78. The three constructs added explained a significant amount of variance in ICTAM. Overall, ICTAM increased the explanatory and predictive power of TAM and TAM2, accounting for 52-66.1% of the variance in perceived usefulness and 47.6~74% in behavioral intention to use. Conclusions and Implications: The results of this study provide empirical support for the continued development of TAM as a model to guide and inform research and practice in the area of health consumers' information and communication technology acceptance.
Repository Posting Date:
27-Oct-2011
Date of Publication:
27-Oct-2011
Conference Date:
2006
Conference Name:
18th Annual Scientific Sessions
Conference Host:
Eastern Nursing Research Society
Conference Location:
Cherry Hill, New Jersey
Description:
�New Momentum for Nursing Research: Multidisciplinary Alliances�, held on April 20th -22nd at the Hilton in Cherry Hill, New Jersey
Note:
This is an abstract-only submission. If the author has submitted a full-text item based on this abstract, you may find it by browsing the Virginia Henderson Global Nursing e-Repository by author. If author contact information is available in this abstract, please feel free to contact him or her with your queries regarding this submission. Alternatively, please contact the conference host, journal, or publisher (according to the circumstance) for further details regarding this item. If a citation is listed in this record, the item has been published and is available via open-access avenues or a journal/database subscription. Contact your library for assistance in obtaining the as-published article.

Full metadata record

DC FieldValue Language
dc.type.categoryAbstracten_US
dc.typePresentationen_GB
dc.titleConsumers' Health Information and Services Usage Behavior on the Internet: A Structural Equation Modeling Approachen_GB
dc.contributor.authorAn, Ji-Youngen_US
dc.author.detailsJi-Young An, RN, MPH, PhD, Full-time Faculty, New York University College of Nursing, New York, New York, USA, email: jya206@nyu.eduen_US
dc.identifier.urihttp://hdl.handle.net/10755/163367-
dc.description.abstractPurpose: The purpose of this study was to explain and predict consumers' health information and services usage behavior on the Internet. Theoretical Framework: The Technology Acceptance Model (TAM) with additional constructs of perceived playfulness, compatibility, and Web site loyalty, labeled the Information and Communication Technology Acceptance Model (ICTAM), was developed and tested. Methods (Design, Sample, Setting, Measures, Analysis): A descriptive survey design employing a Web-based questionnaire was used. Individuals who received a flyer through the LISTSERV of "HealthGuide", a website that provides people with health information and services, were eligible to participate. The study population was eighteen years old and older who had used Internet health information and services for a minimum of 6 months. Descriptive statistics, principal component analysis, stepwise multiple regression analysis, confirmatory factor analysis, and a structural equation modeling were employed. Results: More than half of the respondents were women (n=110, 55%). The average age of the respondents was 35.16 years (S.D.=10.07). A majority reported at least some college education (n=126, 63%). All of the observed factors included in ICTAM accounted for 75.53% of the total variance explained. The results indicated that ICTAM produced measurement and structural models with adequate fits. The fit indices of the structural model were within an acceptable range: ?2/df=2.38 (? 2=1786.31, df=752); GFI=.71; RMSEA=.08; CFI=.86; NFI=.78. The three constructs added explained a significant amount of variance in ICTAM. Overall, ICTAM increased the explanatory and predictive power of TAM and TAM2, accounting for 52-66.1% of the variance in perceived usefulness and 47.6~74% in behavioral intention to use. Conclusions and Implications: The results of this study provide empirical support for the continued development of TAM as a model to guide and inform research and practice in the area of health consumers' information and communication technology acceptance.en_GB
dc.date.available2011-10-27T11:06:17Z-
dc.date.issued2011-10-27en_GB
dc.date.accessioned2011-10-27T11:06:17Z-
dc.conference.date2006en_US
dc.conference.name18th Annual Scientific Sessionsen_US
dc.conference.hostEastern Nursing Research Societyen_US
dc.conference.locationCherry Hill, New Jerseyen_US
dc.description�New Momentum for Nursing Research: Multidisciplinary Alliances�, held on April 20th -22nd at the Hilton in Cherry Hill, New Jerseyen_US
dc.description.noteThis is an abstract-only submission. If the author has submitted a full-text item based on this abstract, you may find it by browsing the Virginia Henderson Global Nursing e-Repository by author. If author contact information is available in this abstract, please feel free to contact him or her with your queries regarding this submission. Alternatively, please contact the conference host, journal, or publisher (according to the circumstance) for further details regarding this item. If a citation is listed in this record, the item has been published and is available via open-access avenues or a journal/database subscription. Contact your library for assistance in obtaining the as-published article.-
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