Determinants of Patients' Intention to Adopt Diabetes Self-Management Applications

Despite significant advances in medicine, diabetes mellitus remains a major health problem among diabetes patients (diabetics). Diabetes in Malaysia has become increasingly critical along with diabetes complications. Diabetes Self-Management Applications (DSMA) are impactful patient-centered tools that has immense potential in enabling diabetics to manage their health conditions and thereby prevent complications. This study identifies factors that influence the intention to adopt DSMA by diabetics in Malaysia. The aim is to develop a research model to represent the adoption of DSMA amongst diabetics in Malaysia. Previous work is reviewed to develop the proposed model which comprised of constructs from established models and othper constructs from the literature. To test the developed model, a quantitative approach was employed and established questionnaires were administered as research instrument for data collection. The findings indicate that Perceived Financial Risk, Perceived Privacy and Security Risk, Technology Anxiety and Facilitating Conditions have significantly positive relationship with the intention to adopt DSMA. Findings from this study serve as a guideline for DSMA developers in understanding the core factors that influence the adoption and use of diabetes health applications by diabetics.

[1]  S. Krishna,et al.  Diabetes Self-Management Care via Cell Phone: A Systematic Review , 2008, Journal of diabetes science and technology.

[2]  Nicol Nijland,et al.  Factors Influencing the Use of a Web-Based Application for Supporting the Self-Care of Patients with Type 2 Diabetes: A Longitudinal Study , 2011, Journal of medical Internet research.

[3]  Xitong Guo,et al.  UNDERSTANDING THE ACCEPTANCE OF MOBILE HEALTH SERVICES: A COMPARISON AND INTEGRATION OF ALTERNATIVE MODELS , 2013 .

[4]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..

[5]  K. Grønhaug,et al.  Perceived Risk: Further Considerations for the Marketing Discipline , 1993 .

[6]  L. Cronbach Coefficient alpha and the internal structure of tests , 1951 .

[7]  Michael R. Simonson,et al.  Development of a Standardized Test of Computer Literacy and a Computer Anxiety Index , 1987 .

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

[9]  Sharon E. Straus,et al.  A web-based intervention to support self-management of patients with type 2 diabetes mellitus: effect on self-efficacy, self-care and diabetes distress , 2014, BMC Medical Informatics and Decision Making.

[10]  A. R. Ahlan,et al.  RELIABILITY AND VALIDITY OF A QUESTIONNAIRE TO EVALUATE DIABETIC PATIENTS' INTENTION TO ADOPT HEALTH INFORMATION TECHNOLOGY: A PILOT STUDY , 2015 .

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

[12]  Morwenna Kirwan,et al.  Diabetes Self-Management Smartphone Application for Adults With Type 1 Diabetes: Randomized Controlled Trial , 2013, Journal of medical Internet research.

[13]  A. Khir,et al.  Prevalence of diabetes in Malaysia and usefulness of HbA1c as a diagnostic criterion , 2013, Diabetic medicine : a journal of the British Diabetic Association.

[14]  Viswanath Venkatesh,et al.  Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology , 2012, MIS Q..

[15]  M. S. Cunningham The Major Dimensions of Perceived Risk , 1967 .

[16]  Shintaro Okazaki,et al.  Factors Affecting Mobile Diabetes Monitoring Adoption Among Physicians: Questionnaire Study and Path Model , 2012, Journal of medical Internet research.

[17]  S. Rampal,et al.  Enhancing Diabetic Care in the Community in Malaysia: Need for a Paradigm Shift , 2010 .

[18]  Paul A. Pavlou,et al.  Predicting E-Services Adoption: A Perceived Risk Facets Perspective , 2002, Int. J. Hum. Comput. Stud..

[19]  Anol Bhattacherjee,et al.  Physicians' Resistance toward Healthcare Information Technologies: A Dual-Factor Model , 2007, 2007 40th Annual Hawaii International Conference on System Sciences (HICSS'07).