User acceptance of personal health records in Malaysia: pilot test
Keywords:
PHRs; Personal Health Record; User Acceptance; UTAUT2; PMT; Malaysia; Pilot Test.
Abstract
The importance of Personal health records (PHRs) can be illustrated from its ability to improve information exchange among the patients, physicians, and healthcare service providers. PHRs enroll the patients directly to their health decision making by giving them the authority to control and share their health information. The user acceptance of PHRs is a vital issue. A combination of UTAUT2 and PMT models is going to be tested in this study to test the user acceptance of PHRs in Malaysia in the future. This paper involves the pilot testing of the proposed model to find out its validity and reliability using Smart PLS.
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References
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Agrawal, E. (2010). ACCEPTANCE AND USE OF PERSONAL HEALTH RECORD: FACTORS AFFECTING PHYSICIANS’ PERSPECTIVE. Indiana University, December, 113.
Ajzen, I. (1991). The theory of planned behavior. Orgnizational Behavior and Human Decision Processes, 50, 179–211. https://doi.org/10.1016/0749-5978(91)90020-T
Alazzam, Samad, Basari, Sibghatullah, Doheir, Enaizan, & Mamra (2015). Ehrs Acceptance in Jordan Hospitals By Utaut2 Model: Preliminary Result. Journal of Theoretical and Applied Information Technology, 3178(3), 473–482. Retrieved from www.jatit.org
Azliza, Ariffin, Yunus, & Embi (2008). Improving Electronic Medical Records ( EMRs ) Practices through a Clinical Microsystem in the Malaysian Government Hospitals. Communications of IBIMA, 5, 50–64. Retrieved from http://www.ibimapublishing.com/journals/CIBIMA/volume5/v5n8.pdf
Barlow, Crawford, & Lansky (2008). The value of personal health records. A joint position statement for consumers of health care. Studies in health technology and informatics (Vol. 137). Retrieved from http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=2655849&tool=pmcentrez&rendertype=abstract
Belle, G. Van. (2008). Statistical Rules of Thumb. In Statistical Rules of Thumb (pp. 3–14).
Bliemel & Hassanein (2006). Consumer satisfaction with online health information retrieval: a model and empirical study. E-Service Journal, 5(2), 53–83. https://doi.org/10.2979/ESJ.2007.5.2.53
Bulajic, Stamatovic, & Cvetanovic (2012). The importance of defining the hypothesis in scientific research. International Journal of Educational Administration and Policy Studies, 4(8), 170–176. https://doi.org/10.5897/IJEAPS12.009
Calvin, Karsh, Ben-tzion, Severtson, Burke, … Flatley, (n.d.). Factors affecting home care patients ’ acceptance of a web-based interactive self-management technology, 51–59. https://doi.org/10.1136/jamia.2010.007336
Chang, A. (2012). UTAUT AND UTAUT 2 : A REVIEW AND AGENDA FOR FUTURE RESEARCH. Journal The WINNERS , Vol., 13(9), 106–114.
Collste, G. (2008). Global ICT‐ethics: the case of privacy. Journal of Information, Communication and Ethics in Society, Vol. 6(1), 76–87. https://doi.org/10.1108/14779960810866819
Connelly, L. M. (2008). Pilot studies. Medsurg Nursing, 17(6), 411.
Cronin, C. (2012). Personal Health Records: An Overview of What is Available to the Public. American Association of Retired Persons (AARP) Public Ploicy Institute, (April), 3–21. Retrieved from http://assets.aarp.org/rgcenter/health/2006_11_phr.pdf
Cruickshank, J. (2012). Putting patients in control ? Personal Health Records, (September).
Daglish E. (2013). a Matter of Trust Electronic Personal Health Records : a Matter of Trust. McMaster University, 149.
Davis, Bagozzi & Warshaw (1989). User acceptance of computer technology: a comparison of two theoretical models. Management Science. https://doi.org/10.1287/mnsc.35.8.982
Demiris, G. (2012). New era for the consumer health informatics research agenda, 1(1), 13–16. https://doi.org/10.1057/hs.2012.7
Fishbein, M., & Azjen, I. (1975). Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. Reading, MA: Addison-Wesley., 6(2), 244–245.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50.
Fung & Paynter (2006). The impact of information technology in healthcare privacy. Privacy Protection for E-Services, 56–93. https://doi.org/10.4018/978-1-59140-914-4.ch003
Garson, G. D. (2016). Partial Least Squares: Regression & Structural Equation Models. G. David Garson and Statistical Associates Publishing.
Goldman & Hudson. (2000). Virtually exposed: Privacy and e-health. Health Affairs, 19(6), 140–148. https://doi.org/10.1377/hlthaff.19.6.140
Görlitz, R. A. (2013). Patient-centered Coordination in Healthcare Service Networks. Proceedings of the Doctoral Consortium Wirtschaftsinformatik 2013, 109–122.
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2014). A primer on partial least squares structural equation modelling (PLS-SEM)
Hann, I., Hui, K., Lee, S., & Png, I. (2002). Online Information Privacy: Measuring the Cost-Benefit Trade-Off. Icis, 1–10. Retrieved from http://www.comp.nus.edu.sg/~ipng/research/privacy_icis.pdf
Hartzog, M. (2008). Considerations in Determining Sample Size for Pilot Studies. Research in Nursing & Health, 31(4), 341–354. https://doi.org/10.1002/nur
Henseler, Jörg; Ringle, C. M.; & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science 43(1): 115-13.
Hill, R. (1998). What sample size is “enough” in internet survey research? An Electronic Journal for the 21st Century, 6(3–4), 1–10.
Hu, P. J., Chau, P. Y. K., Liu Sheng, O. R., & Tam, K. Y. (1999). Examining the Technology Acceptance Model Using Physician Acceptance of Telemedicine Technology. Journal of Management Information Systems, 16(2), 91–112. https://doi.org/10.2307/40398433
Jeongeun, K. (2011). The Personal Health Record. Health Informatics Research, 107(9), 27. https://doi.org/10.1097/01.NAJ.0000287504.92887.de
Julious, S. A. (2005). Sample size of 12 per group rule of thumb for a pilot study. Pharmaceutical Statistics, 4(4), 287–291. https://doi.org/10.1002/pst.185
Kezer, Sevi, Cemalcilar & Baruh. (2016). Age differences in privacy attitudes, literacy and privacy management on Facebook. Cyberpsychology, 10(1). https://doi.org/10.5817/CP2016-1-2
Kim, K. (2012). Benefits of and barriers to the use of personal health records ( PHR ) for health management among adults, 45.
Kumar, Sharanie & Jaspaljeet. (2015). iMedPub Journals Barriers to Adoption of Consumer Health Informatics Applications for Health Self Management Abstract. Health Science Journal ISSN 1791-809X, Vol. 9 No., 1–7.
Laugesen, J. D. (2013). Adoption of Electronic Personal Health Records By Chronic Disease Patients: Integrating Protection Motivation Theory and Task- Technology Fit. McMaster University, DeGroote School of Business ?, August, 261.
Liu, Marchewka, Lu & Yu (2004). Beyond concern: A privacy-trust-behavioral intention model of electronic commerce. Information and Management, 42(1), 127–142. https://doi.org/10.1016/j.im.2004.01.002
Maddux, J. E., & Rogers, R. W. (1983). Protection motivation and self-efficacy: A revised theory of fear appeals and attitude change. Journal of Experimental Social Psychology, 19(5), 469–479. https://doi.org/10.1016/0022-1031(83)90023-9
Majedi, A. (2014). Consumer Adoption of Personal Health Records By.
Mamra, Sibghatullah, Ananta, Alazzam, Ahmed, & Doheir. (2017). Theories and factors applied in investigating the user acceptance towards personal health records: Review study. International Journal of Healthcare Management, 10(2), 89–96. https://doi.org/10.1080/20479700.2017.1289439
Miller, Yasnoff & H.A, B. (2009). Personal health records: the essential missing element in 21st century healthcare. Healthcare Information and Management Systems Society. https://doi.org/10.1017/CBO9781107415324.004
Milne, S., Sheeran, P., & Orbell, S. (2000). Prediction and Intervention in Health Related Behavior: A Meta Analytic Review of Protection Motivation Theory. Journal of Applied Social Psychology, 30(1), 106–143. https://doi.org/10.1111/j.1559-1816.2000.tb02308.x
Norman, G. (2010). Likert scales, levels of measurement and the “laws” of statistics. Advances in Health Sciences Education, 15(5), 625–632. https://doi.org/10.1007/s10459-010-9222-y
Ponnudurai, S. (2010). Mobile Health Records in Malaysia. Asia Biotech, 14(5&6), 32–33.
Prentice-Dunn, S., & Rogers, R. W. (1986). Protection Motivation Theory and preventive health: beyond the Health Belief Model. HEALTH EDUCATION RESEARCH Theory and Practice, 1(3), 153–161. https://doi.org/10.1093/her/1.3.153
Profile, C., Situation, B., Program, I. V., & Benefits, M. (2011). Instantly Retrieving and Displaying Latest Personal Health Record Anytime , Anywhere, 2–4.
Richards, R. J. (2012). a Study of the Intent To Fully Utilize Electronic Personal Health.
Rogers, E. M. (1995). Diffusion of innovations. Macmillian Publishing Co. https://doi.org/citeulike-article-id:126680
Rogers, R. W. (1975). A Protection Motivation Theory of Fear Appeals and Attitude Change1. The Journal of Psychology, 91(1), 93–114. https://doi.org/10.1080/00223980.1975.9915803
Seydel, Taal, & Wiegman. (1990). Risk-appraisal, outcome and self-efficacy expectancies: Cognitive factors in preventive behaviour related to cancer. Psychology & Health, 4(2), 99–109. https://doi.org/10.1080/08870449008408144
Studeny & Coustasse. (2014). Personal Health Records : Is Rapid Adoption Hindering Interoperability ?
Sun, Wang, N., X., & Peng, Z. (2013). Understanding the Acceptance of Mobile Health Services: a Comparison and Integration of Alternative Models. Journal of Electronic Commerce Research, 14(2), 183–200.
Syed-mohamad, S. M., Ali, S. H., & Mat-husin, M. N. (2010). The development and design of an electronic patient record using open source web-based technology, 39(1), 30–35.
Thabane, Ma, & Chu. (2010). Commentary. A tutorial on pilot studies: the what, why and how. BMC Medial Research Methodology, 10, 1–10. https://doi.org/10.1186/1471-2288-10-1
Vance, Tomblin, Studney & Coustasse. (2015). Benefits and Barriers for Adoption of Personal Health Records.
Venkatesh, Davis, & Morris, (2007). Dead Or Alive? The Development, Trajectory And Future Of Technology Adoption Research. Journal of the Association for Information Systems, 8(4), 267–286. https://doi.org/10.1016/j.wneu.2011.04.002
Venkatesh, Morris, Davis, & Fred Davis. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540
Venkatesh, Thong, J., & Xu, X. (2012). C ONSUMER A CCEPTANCE AND U SE OF I NFORMATION T ECHNOLOGY : E XTENDING THE U NIFIED T HEORY. MIS Quarterly, 36(1), 157–178.
Westland, C. J., & Clark, T. H. K. (1999). Global Electronic Commerce: Theory and Case Studies, (October). https://doi.org/10.1080/15228053.1999.10855949
Yee, G., Korba, L., & Song, R. (2006). Ensuring privacy for E-health services. Proceedings - First International Conference on Availability, Reliability and Security, ARES 2006, 2006, 321–328. https://doi.org/10.1109/ARES.2006.59
Agrawal, E. (2010). ACCEPTANCE AND USE OF PERSONAL HEALTH RECORD: FACTORS AFFECTING PHYSICIANS’ PERSPECTIVE. Indiana University, December, 113.
Ajzen, I. (1991). The theory of planned behavior. Orgnizational Behavior and Human Decision Processes, 50, 179–211. https://doi.org/10.1016/0749-5978(91)90020-T
Alazzam, Samad, Basari, Sibghatullah, Doheir, Enaizan, & Mamra (2015). Ehrs Acceptance in Jordan Hospitals By Utaut2 Model: Preliminary Result. Journal of Theoretical and Applied Information Technology, 3178(3), 473–482. Retrieved from www.jatit.org
Azliza, Ariffin, Yunus, & Embi (2008). Improving Electronic Medical Records ( EMRs ) Practices through a Clinical Microsystem in the Malaysian Government Hospitals. Communications of IBIMA, 5, 50–64. Retrieved from http://www.ibimapublishing.com/journals/CIBIMA/volume5/v5n8.pdf
Barlow, Crawford, & Lansky (2008). The value of personal health records. A joint position statement for consumers of health care. Studies in health technology and informatics (Vol. 137). Retrieved from http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=2655849&tool=pmcentrez&rendertype=abstract
Belle, G. Van. (2008). Statistical Rules of Thumb. In Statistical Rules of Thumb (pp. 3–14).
Bliemel & Hassanein (2006). Consumer satisfaction with online health information retrieval: a model and empirical study. E-Service Journal, 5(2), 53–83. https://doi.org/10.2979/ESJ.2007.5.2.53
Bulajic, Stamatovic, & Cvetanovic (2012). The importance of defining the hypothesis in scientific research. International Journal of Educational Administration and Policy Studies, 4(8), 170–176. https://doi.org/10.5897/IJEAPS12.009
Calvin, Karsh, Ben-tzion, Severtson, Burke, … Flatley, (n.d.). Factors affecting home care patients ’ acceptance of a web-based interactive self-management technology, 51–59. https://doi.org/10.1136/jamia.2010.007336
Chang, A. (2012). UTAUT AND UTAUT 2 : A REVIEW AND AGENDA FOR FUTURE RESEARCH. Journal The WINNERS , Vol., 13(9), 106–114.
Collste, G. (2008). Global ICT‐ethics: the case of privacy. Journal of Information, Communication and Ethics in Society, Vol. 6(1), 76–87. https://doi.org/10.1108/14779960810866819
Connelly, L. M. (2008). Pilot studies. Medsurg Nursing, 17(6), 411.
Cronin, C. (2012). Personal Health Records: An Overview of What is Available to the Public. American Association of Retired Persons (AARP) Public Ploicy Institute, (April), 3–21. Retrieved from http://assets.aarp.org/rgcenter/health/2006_11_phr.pdf
Cruickshank, J. (2012). Putting patients in control ? Personal Health Records, (September).
Daglish E. (2013). a Matter of Trust Electronic Personal Health Records : a Matter of Trust. McMaster University, 149.
Davis, Bagozzi & Warshaw (1989). User acceptance of computer technology: a comparison of two theoretical models. Management Science. https://doi.org/10.1287/mnsc.35.8.982
Demiris, G. (2012). New era for the consumer health informatics research agenda, 1(1), 13–16. https://doi.org/10.1057/hs.2012.7
Fishbein, M., & Azjen, I. (1975). Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. Reading, MA: Addison-Wesley., 6(2), 244–245.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50.
Fung & Paynter (2006). The impact of information technology in healthcare privacy. Privacy Protection for E-Services, 56–93. https://doi.org/10.4018/978-1-59140-914-4.ch003
Garson, G. D. (2016). Partial Least Squares: Regression & Structural Equation Models. G. David Garson and Statistical Associates Publishing.
Goldman & Hudson. (2000). Virtually exposed: Privacy and e-health. Health Affairs, 19(6), 140–148. https://doi.org/10.1377/hlthaff.19.6.140
Görlitz, R. A. (2013). Patient-centered Coordination in Healthcare Service Networks. Proceedings of the Doctoral Consortium Wirtschaftsinformatik 2013, 109–122.
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2014). A primer on partial least squares structural equation modelling (PLS-SEM)
Hann, I., Hui, K., Lee, S., & Png, I. (2002). Online Information Privacy: Measuring the Cost-Benefit Trade-Off. Icis, 1–10. Retrieved from http://www.comp.nus.edu.sg/~ipng/research/privacy_icis.pdf
Hartzog, M. (2008). Considerations in Determining Sample Size for Pilot Studies. Research in Nursing & Health, 31(4), 341–354. https://doi.org/10.1002/nur
Henseler, Jörg; Ringle, C. M.; & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science 43(1): 115-13.
Hill, R. (1998). What sample size is “enough” in internet survey research? An Electronic Journal for the 21st Century, 6(3–4), 1–10.
Hu, P. J., Chau, P. Y. K., Liu Sheng, O. R., & Tam, K. Y. (1999). Examining the Technology Acceptance Model Using Physician Acceptance of Telemedicine Technology. Journal of Management Information Systems, 16(2), 91–112. https://doi.org/10.2307/40398433
Jeongeun, K. (2011). The Personal Health Record. Health Informatics Research, 107(9), 27. https://doi.org/10.1097/01.NAJ.0000287504.92887.de
Julious, S. A. (2005). Sample size of 12 per group rule of thumb for a pilot study. Pharmaceutical Statistics, 4(4), 287–291. https://doi.org/10.1002/pst.185
Kezer, Sevi, Cemalcilar & Baruh. (2016). Age differences in privacy attitudes, literacy and privacy management on Facebook. Cyberpsychology, 10(1). https://doi.org/10.5817/CP2016-1-2
Kim, K. (2012). Benefits of and barriers to the use of personal health records ( PHR ) for health management among adults, 45.
Kumar, Sharanie & Jaspaljeet. (2015). iMedPub Journals Barriers to Adoption of Consumer Health Informatics Applications for Health Self Management Abstract. Health Science Journal ISSN 1791-809X, Vol. 9 No., 1–7.
Laugesen, J. D. (2013). Adoption of Electronic Personal Health Records By Chronic Disease Patients: Integrating Protection Motivation Theory and Task- Technology Fit. McMaster University, DeGroote School of Business ?, August, 261.
Liu, Marchewka, Lu & Yu (2004). Beyond concern: A privacy-trust-behavioral intention model of electronic commerce. Information and Management, 42(1), 127–142. https://doi.org/10.1016/j.im.2004.01.002
Maddux, J. E., & Rogers, R. W. (1983). Protection motivation and self-efficacy: A revised theory of fear appeals and attitude change. Journal of Experimental Social Psychology, 19(5), 469–479. https://doi.org/10.1016/0022-1031(83)90023-9
Majedi, A. (2014). Consumer Adoption of Personal Health Records By.
Mamra, Sibghatullah, Ananta, Alazzam, Ahmed, & Doheir. (2017). Theories and factors applied in investigating the user acceptance towards personal health records: Review study. International Journal of Healthcare Management, 10(2), 89–96. https://doi.org/10.1080/20479700.2017.1289439
Miller, Yasnoff & H.A, B. (2009). Personal health records: the essential missing element in 21st century healthcare. Healthcare Information and Management Systems Society. https://doi.org/10.1017/CBO9781107415324.004
Milne, S., Sheeran, P., & Orbell, S. (2000). Prediction and Intervention in Health Related Behavior: A Meta Analytic Review of Protection Motivation Theory. Journal of Applied Social Psychology, 30(1), 106–143. https://doi.org/10.1111/j.1559-1816.2000.tb02308.x
Norman, G. (2010). Likert scales, levels of measurement and the “laws” of statistics. Advances in Health Sciences Education, 15(5), 625–632. https://doi.org/10.1007/s10459-010-9222-y
Ponnudurai, S. (2010). Mobile Health Records in Malaysia. Asia Biotech, 14(5&6), 32–33.
Prentice-Dunn, S., & Rogers, R. W. (1986). Protection Motivation Theory and preventive health: beyond the Health Belief Model. HEALTH EDUCATION RESEARCH Theory and Practice, 1(3), 153–161. https://doi.org/10.1093/her/1.3.153
Profile, C., Situation, B., Program, I. V., & Benefits, M. (2011). Instantly Retrieving and Displaying Latest Personal Health Record Anytime , Anywhere, 2–4.
Richards, R. J. (2012). a Study of the Intent To Fully Utilize Electronic Personal Health.
Rogers, E. M. (1995). Diffusion of innovations. Macmillian Publishing Co. https://doi.org/citeulike-article-id:126680
Rogers, R. W. (1975). A Protection Motivation Theory of Fear Appeals and Attitude Change1. The Journal of Psychology, 91(1), 93–114. https://doi.org/10.1080/00223980.1975.9915803
Seydel, Taal, & Wiegman. (1990). Risk-appraisal, outcome and self-efficacy expectancies: Cognitive factors in preventive behaviour related to cancer. Psychology & Health, 4(2), 99–109. https://doi.org/10.1080/08870449008408144
Studeny & Coustasse. (2014). Personal Health Records : Is Rapid Adoption Hindering Interoperability ?
Sun, Wang, N., X., & Peng, Z. (2013). Understanding the Acceptance of Mobile Health Services: a Comparison and Integration of Alternative Models. Journal of Electronic Commerce Research, 14(2), 183–200.
Syed-mohamad, S. M., Ali, S. H., & Mat-husin, M. N. (2010). The development and design of an electronic patient record using open source web-based technology, 39(1), 30–35.
Thabane, Ma, & Chu. (2010). Commentary. A tutorial on pilot studies: the what, why and how. BMC Medial Research Methodology, 10, 1–10. https://doi.org/10.1186/1471-2288-10-1
Vance, Tomblin, Studney & Coustasse. (2015). Benefits and Barriers for Adoption of Personal Health Records.
Venkatesh, Davis, & Morris, (2007). Dead Or Alive? The Development, Trajectory And Future Of Technology Adoption Research. Journal of the Association for Information Systems, 8(4), 267–286. https://doi.org/10.1016/j.wneu.2011.04.002
Venkatesh, Morris, Davis, & Fred Davis. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540
Venkatesh, Thong, J., & Xu, X. (2012). C ONSUMER A CCEPTANCE AND U SE OF I NFORMATION T ECHNOLOGY : E XTENDING THE U NIFIED T HEORY. MIS Quarterly, 36(1), 157–178.
Westland, C. J., & Clark, T. H. K. (1999). Global Electronic Commerce: Theory and Case Studies, (October). https://doi.org/10.1080/15228053.1999.10855949
Yee, G., Korba, L., & Song, R. (2006). Ensuring privacy for E-health services. Proceedings - First International Conference on Availability, Reliability and Security, ARES 2006, 2006, 321–328. https://doi.org/10.1109/ARES.2006.59
Published
2019-07-31
How to Cite
Mamra, A., Pramudya Ananta, G., Hasan Basari, A. S., & Hassan Elsafi, M. (2019). User acceptance of personal health records in Malaysia: pilot test. Religación, 4(17), 294-304. Retrieved from https://revista.religacion.com/index.php/religacion/article/view/715
Section
South-South
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
