Adoption of SMS for Health Adherence: A Consumer Perspective

This study is an empirical exploration of user perceptions of the use of wireless text messaging, or short messaging service (SMS), on cell phones as a health adherence-improvement initiative. Insufficient adherence, or non-compliance, is a major obstacle in health self-management programs. Using SMS to improve adherence is an innovative ecommerce application involving many unknowns. Of these, this study investigates a key issue from a user-centric perspective: what are the main reasons for consumers to adopt or resist the use of SMS for adherence? Results show user perceptions followed by technology features to be the most important motivations both for and against SMS use for this purpose.

[1]  Brian Detlor,et al.  Pre-Purchase Online Information Seeking: Search versus Browse , 2003, J. Electron. Commer. Res..

[2]  Hans van der Heijden,et al.  User Acceptance of Hedonic Information Systems , 2004, MIS Q..

[3]  Felix B. Tan,et al.  Antecedents of perceived playfulness: an exploratory study on user acceptance of general information-searching websites , 2004, Inf. Manag..

[4]  Klaus Krippendorff,et al.  Content Analysis: An Introduction to Its Methodology , 1980 .

[5]  Viswanath Venkatesh,et al.  Creation of Favorable User Perceptions: Exploring the Role of Intrinsic Motivation , 1999, MIS Q..

[6]  Jintao Li,et al.  A User-Centric Pervasive Computing Services Model for Medical and Health-care , 2007, Sixth International Conference on Grid and Cooperative Computing (GCC 2007).

[7]  Viswanath Venkatesh,et al.  Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model , 2000, Inf. Syst. Res..

[8]  B Downe-Wamboldt,et al.  Content analysis: method, applications, and issues. , 1992, Health care for women international.

[9]  John G Meara,et al.  Use of SMS text messaging to improve outpatient attendance , 2005, The Medical journal of Australia.

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

[11]  V. Franklin,et al.  "Sweet Talk": text messaging support for intensive insulin therapy for young people with diabetes. , 2003, Diabetes technology & therapeutics.

[12]  Ronald Neville,et al.  Mobile phone text messaging can help young people manage asthma , 2002, BMJ : British Medical Journal.

[13]  S. Bauer,et al.  Use of text messaging in the aftercare of patients with bulimia nervosa , 2003 .

[14]  S. Rivard,et al.  Getting physicians to accept new information technology: insights from case studies , 2006, Canadian Medical Association Journal.

[15]  H. Bernard,et al.  Data Management and Analysis Methods , 2000 .

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

[17]  I. Ajzen.  The theory of planned behavior , 1991 .

[18]  Peter A. Todd,et al.  Understanding Information Technology Usage: A Test of Competing Models , 1995, Inf. Syst. Res..

[19]  Mihail Cocosila,et al.  Mobile healthcare initiatives for improving outpatient adherence: opportunities and barriers , 2005, Int. J. Electron. Bus..

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

[21]  F. Kohlbacher.  The Use of Qualitative Content Analysis in Case Study Research , 2006 .

[22]  B. Mennecke,et al.  Mobile Commerce: Technology, Theory and Applications , 2002 .

[23]  Hanjun Ko,et al.  Cross-Cultural Differences in Perceived Risk of Online Shopping , 2004 .

[24]  Owen Dyer,et al.  Patients will be reminded of appointments by text messages , 2003, BMJ : British Medical Journal.

[25]  Matthew B. Miles,et al.  Qualitative Data Analysis: An Expanded Sourcebook , 1994 .

[26]  Fred D. Davis,et al.  Extrinsic and Intrinsic Motivation to Use Computers in the Workplace1 , 1992 .

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

[28]  M. Featherman,et al.  EXTENDING THE TECHNOLOGY ACCEPTANCE MODEL BY INCLUSION OF PERCEIVED RISK , 2001 .

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

[30]  R B Haynes,et al.  Interventions to enhance medication adherence. , 2005, The Cochrane database of systematic reviews.

[31]  C. Guinovart,et al.  The role of mobile phones in improving vaccination rates in travelers. , 2004, Preventive medicine.

[32]  Jen-Her Wu,et al.  What drives mobile commerce?: An empirical evaluation of the revised technology acceptance model , 2005, Inf. Manag..

[33]  J. Barry Mason,et al.  Attitude and risk: Exploring the relationship , 1995 .

[34]  Dongwon Lee,et al.  On the Explanation of Factors Affecting E-Commerce Adoption , 2001, ICIS.

[35]  Suzanne Rivard,et al.  A Multilevel Model of Resistance to Information Technology Implementation , 2005, MIS Q..

[36]  Nena Lim,et al.  Consumers' perceived risk: sources versus consequences , 2003, Electron. Commer. Res. Appl..

[37]  M. Whitman,et al.  Qualitative research in information systems , 2005 .

[38]  David Madigan,et al.  Implementation Brief: A Two-way Messaging System to Enhance Antiretroviral Adherence , 2003, J. Am. Medical Informatics Assoc..

[39]  Mary J Wills,et al.  Do u smoke after txt? Results of a randomised trial of smoking cessation using mobile phone text messaging , 2005, Tobacco Control.

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

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