Health IT acceptance factors in long-term care facilities: A cross-sectional survey

BACKGROUND AND PURPOSE This study applied a modified version of the extended technology acceptance model (TAM2) to examine the factors determining the acceptance of health IT applications by caregivers in long-term care facilities. The antecedent variables, including social influence factors such as subjective norm and image were examined together with demographic variables including age, job level, long-term care work experience and computer skills in regard to their impact on caregivers' acceptance of health IT applications. METHODS A self-administered questionnaire was developed based on the validated items from TAM2. The data was collected in a cross-sectional survey using convenience sample. Confirmatory factor analysis and structural equation modelling techniques were used to validate our causal model. RESULTS Perceived usefulness, perceived ease of use and computer skills had significant positive impact, whereas image had significant negative impact on caregivers' intention to use health IT applications. Image, subjective norm and computer skills also indirectly impacted on intention through the mediating factor of ease of use. Ease of use, subjective norm and job level also determined perceived usefulness. The other demographic factors (including age and long-term care work experience) did not have any significant effect on caregivers' acceptance of a health IT application. Our model explains 34% of caregivers' intention to use an introduced IT application before any hands-on experience with the system established. CONCLUSIONS The planners and managers should ensure that a health IT application to be introduced into a long-term care facility is useful and easy to use. Effort should be focused on forming a positive social norm for the introduction of the new innovation and improving caregivers' computer skills. Securing the managers' and senior nurses' support for the innovation at the onset of the project is critical for success. Finally the caregivers appear to dislike the idea of increased IT ability will elevate their status.

[1]  Fred D. Davis,et al.  User Acceptance of Computer Technology: A Comparison of Two Theoretical Models , 1989 .

[2]  Olivia R. Liu Sheng,et al.  Examining the Technology Acceptance Model Using Physician Acceptance of Telemedicine Technology , 1999, J. Manag. Inf. Syst..

[3]  L. Harlow,et al.  Effects of estimation methods, number of indicators per factor, and improper solutions on structural equation modeling fit indices , 1995 .

[4]  Jen-Her Wu,et al.  An organizational memory information systems success model: an extension of DeLone and McLean's I/S success model , 1998, Proceedings of the Thirty-First Hawaii International Conference on System Sciences.

[5]  Fred D. Davis,et al.  A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies , 2000, Management Science.

[6]  Martin Wetzels,et al.  A meta-analysis of the technology acceptance model: Investigating subjective norm and moderation effects , 2007, Inf. Manag..

[7]  A. Brodt,et al.  Nurses' attitudes towards computerization in a Midwestern community hospital. , 1986, Computers in nursing.

[8]  Detmar W. Straub,et al.  Information Technology Adoption Across Time: A Cross-Sectional Comparison of Pre-Adoption and Post-Adoption Beliefs , 1999, MIS Q..

[9]  Marie-Pierre Gagnon,et al.  An adaptation of the theory of interpersonal behaviour to the study of telemedicine adoption by physicians , 2003, Int. J. Medical Informatics.

[10]  Paul van Schaik,et al.  Clinical acceptance of a low-cost portable system for postural assessment , 2000, Behav. Inf. Technol..

[11]  R. Scarpa,et al.  Attitudes of nurses toward computerization: a replication. , 1992, Computers in nursing.

[12]  J. E. Maddux,et al.  Expectancies and the social–cognitive perspective: Basic principles, processes, and variables. , 1999 .

[13]  K. Newman,et al.  The NHS Plan: nurse satisfaction, commitment and retention strategies , 2002, Health services management research.

[14]  I. Kirsch How expectancies shape experience. , 1999 .

[15]  Paul Jen-Hwa Hu,et al.  Examining a Model of Information Technology Acceptance by Individual Professionals: An Exploratory Study , 2002, J. Manag. Inf. Syst..

[16]  Ping Yu,et al.  An Exploration of the Barriers to the Adoption of Information Technology in Australian Aged Care Industry , 2004 .

[17]  E. Vance Wilson,et al.  Modeling patients' acceptance of provider-delivered e-health. , 2004, Journal of the American Medical Informatics Association : JAMIA.

[18]  W. Hogan,et al.  Review of pricing arrangements in residential aged care. , 2004 .

[19]  Shu Yu,et al.  Applying the technology acceptance model to explore public health nurses' intentions towards web-based learning: a cross-sectional questionnaire survey. , 2008, International journal of nursing studies.

[20]  P. Gollwitzer,et al.  Goal Effects on Action and Cognition , 1996 .

[21]  J. Marc Overhage,et al.  Editorial Comments: Physicians, Information Technology, and Health Care Systems: A Journey, Not a Destination , 2003, J. Am. Medical Informatics Assoc..

[22]  Su-Chao Chang,et al.  An extension of trust and TAM model with IDT in the adoption of the electronic logistics information system in HIS in the medical industry , 2008, Int. J. Medical Informatics.

[23]  Fred D. Davis,et al.  Measuring user acceptance of emerging information technologies: an assessment of possible method biases , 1995, Proceedings of the Twenty-Eighth Annual Hawaii International Conference on System Sciences.

[24]  J. Hair Multivariate data analysis , 1972 .

[25]  Simon Kitto,et al.  Ensuring excellence: an investigation of the issues that impact on the registered nurse providing residential care to older Australians. , 2003, International journal of nursing practice.

[26]  Melinda McCannon,et al.  Results of a national survey indicating information technology skills needed by nurses at time of entry into the work force. , 2003, The Journal of nursing education.

[27]  Martin Frischer,et al.  Barriers to the adoption of computerised decision support systems in general practice consultations: a qualitative study of GPs' perspectives , 2004, Int. J. Medical Informatics.

[28]  William R. King,et al.  A meta-analysis of the technology acceptance model , 2006, Inf. Manag..

[29]  Jen-Her Wu,et al.  Mobile computing acceptance factors in the healthcare industry : A structural equation model , 2006 .

[30]  Shu Yu,et al.  Study of basic computer competence among public health nurses in Taiwan. , 2004, The journal of nursing research : JNR.

[31]  Izak Benbasat,et al.  Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation , 1991, Inf. Syst. Res..

[32]  Alison J Tierney What's the scoop on the nursing shortage? , 2003, Journal of advanced nursing.

[33]  C. J. Fitch,et al.  Information systems in healthcare: mind the gap , 2004, 37th Annual Hawaii International Conference on System Sciences, 2004. Proceedings of the.

[34]  Bengisu Tulu,et al.  Use of online systems in clinical medical assessments: an analysis of physician acceptance of online disability evaluation systems , 2004, 37th Annual Hawaii International Conference on System Sciences, 2004. Proceedings of the.

[35]  Fred D. Davis Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[36]  Paul Jen-Hwa Hu,et al.  Investigating healthcare professionals' decisions to accept telemedicine technology: an empirical test of competing theories , 2002, Inf. Manag..

[37]  I. Ajzen,et al.  Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research , 1977 .

[38]  M. Getty,et al.  A comparative study of the attitudes of users and non-users towards computerized care planning. , 1999, Journal of clinical nursing.

[39]  Steven D Hobbs Measuring Nurses’ Computer Competency: An Analysis of Published Instruments , 2002, Computers, informatics, nursing : CIN.

[40]  E. Higgins,et al.  Social psychology: Handbook of basic principles. , 1996 .