Consumer Awareness and Use of Mobile Health Services in India: An Urban - Rural Comparison Study

Mobile health (mHealth) are touted to have huge potential to broaden access, at low cost, to quality healthcare. We examine how awareness and use of mHealth develops among consumers in urban and rural India through a combination of individual traits related to mobile services and individual health characteristics. We conducted a survey in several parts of urban and rural India to develop a diversified sample that approximates the 2011 Indian Census. We find consumers’ appraisals of mobile serviceenabled empowerment, affects mHealth awareness/use through innovativeness toward mobile services. We also find that this mediation mechanism is stronger (1) for rural consumers who perceive themselves less vulnerable to chronic diseases and (2) for urban consumers who exhibit a higher regularity of preventive monitoring. Our study has implications on how mHealth awareness and use can be developed among consumers in urban and rural areas and in developing country contexts.

[1]  J. Edwards,et al.  Methods for integrating moderation and mediation: a general analytical framework using moderated path analysis. , 2007, Psychological methods.

[2]  Albert H. Segars,et al.  Assessing the unidimensionality of measurement : a paradigm and illustration within the context of information systems research , 1997 .

[3]  B. Lyons,et al.  Opinion leadership in a computer-mediated environment , 2005 .

[4]  Fred D. Davis User Acceptance of Information Technology: System Characteristics, User Perceptions and Behavioral Impacts , 1993, Int. J. Man Mach. Stud..

[5]  Steven N. Silverman,et al.  Adoption of Internet shopping: the role of consumer innovativeness , 2000, Ind. Manag. Data Syst..

[6]  June Lu,et al.  Personal innovativeness, social influences and adoption of wireless Internet services via mobile technology , 2005, J. Strateg. Inf. Syst..

[7]  Ritu Agarwal,et al.  Are Individual Differences Germane to the Acceptance of New Information Technologies , 1999 .

[8]  Victor J. Strecher,et al.  The health belief model and health behavior. , 1997 .

[9]  James G Kahn,et al.  'Mobile' health needs and opportunities in developing countries. , 2010, Health affairs.

[10]  V. Champion,et al.  Instrument development for health belief model constructs , 1984, ANS. Advances in nursing science.

[11]  Mary Jo Bitner,et al.  Technology infusion in service encounters , 2000 .

[12]  Alper Ertürk,et al.  Comparing Innovation Capability of Small and Medium‐Sized Enterprises: Examining the Effects of Organizational Culture and Empowerment , 2010 .

[13]  R. Goldsmith Explaining and Predicting Consumer Intention to Purchase Over the Internet: An Exploratory Study , 2002 .

[14]  C. Fornell,et al.  Evaluating structural equation models with unobservable variables and measurement error. , 1981 .

[15]  K. Thomas,et al.  Cognitive Elements of Empowerment: An “Interpretive” Model of Intrinsic Task Motivation , 1990 .

[16]  R. N. Kanungo,et al.  The Empowerment Process: Integrating Theory and Practice , 1988 .

[17]  Trudy Ann Cameron,et al.  The Effect of Health Status on Willingness to Pay for Morbidity and Mortality Risk Reductions , 2005 .

[18]  R. Kanter The Change Masters , 1983 .

[19]  G. Spreitzer PSYCHOLOGICAL EMPOWERMENT IN THE WORKPLACE: DIMENSIONS, MEASUREMENT, AND VALIDATION , 1995 .

[20]  Kristopher J Preacher,et al.  Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models , 2008, Behavior research methods.

[21]  Ritu Agarwal,et al.  A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology , 1998, Inf. Syst. Res..

[22]  R. Terlutter,et al.  Skepticism Toward Pharmaceutical Advertising in the U.S. and Germany , 2007 .

[23]  Arun Rai,et al.  Understanding Determinants of Consumer Mobile Health Usage Intentions, Assimilation, and Channel Preferences , 2013, Journal of medical Internet research.

[24]  David R. Williams Socioeconomic Differentials in Health: A Review and Redirection , 1990 .

[25]  M. Mumford,et al.  Putting Creativity to Work: Effects of Leader Behavior on Subordinate Creativity , 1993 .

[26]  Ying-Feng Kuo,et al.  Towards an understanding of the behavioral intention to use 3G mobile value-added services , 2009, Comput. Hum. Behav..

[27]  J. Nunnally Psychometric Theory (2nd ed), New York: McGraw-Hill. , 1978 .

[28]  J. J. Po-An Hsieh,et al.  ScholarWorks @ Georgia State University , 2016 .

[29]  Ben-Tzion Karsh,et al.  Review Paper: A Systematic Review of Patient Acceptance of Consumer Health Information Technology , 2009, J. Am. Medical Informatics Assoc..

[30]  A. Hayes Beyond Baron and Kenny: Statistical Mediation Analysis in the New Millennium , 2009 .

[31]  C. Skinner,et al.  The health belief model. , 2008 .

[32]  Rolph E. Anderson,et al.  Multivariate Data Analysis with Readings , 1979 .