m-Health adoption and sustainability prognosis from a care givers' and patients' perspective

The penetration of mobile phones and mobile technologies in developing countries has led to innovative developments of various m-Health applications. These applications have proven the potential of mobile technologies for improving the quality of health care service in general and the fight against HIV/AIDS in particular. However, to achieve greater impact on the ground level (e.g. in an antiretroviral (ARV) treatment clinic) in a developing country's context, these applications have to be adopted and their utilization sustained. A study was undertaken to investigate sustainability and scalability challenges of mobile phone-based applications/projects for HIV/AIDS care in developing countries and the adoption and sustainability prospects of such m-Health applications in an ARV clinic in Pretoria. The findings presented here, are that from a care givers' and patients' perspective, adoption and sustainability of these applications is not merely dependent on the proposed technology's capabilities to enhance service delivery. Adoption and sustainability is however, mostly dependant on: (1) the care givers and patients' willingness and capability to incur any technological adoption and continuous use costs and, (2) their pre-conceived notions of government or sponsor-supported service provision.

[1]  Stuart J. Barnes,et al.  Mobile banking: concept and potential , 2003, Int. J. Mob. Commun..

[2]  Stuart J. Barnes,et al.  Mobile marketing: the role of permission and acceptance , 2004, Int. J. Mob. Commun..

[3]  Geoff Walsham,et al.  Doing interpretive research , 2006, Eur. J. Inf. Syst..

[4]  Izak Benbasat,et al.  Quo vadis TAM? , 2007, J. Assoc. Inf. Syst..

[5]  Tommi Laukkanen,et al.  Consumer value creation in mobile banking services , 2005, Int. J. Mob. Commun..

[6]  R. Hinson,et al.  Towards a sustainable framework for computer based health information systems (CHIS) for least developed countries (LDCs). , 2007, International journal of health care quality assurance.

[7]  Honest C. Kimaro,et al.  The challenges of sustainability of health information systems in developing countries: comparative case studies of Mozambique and Tanzania , 2007, ECIS.

[8]  Pauliina Seppälä,et al.  Mobile learning in teacher training , 2003, J. Comput. Assist. Learn..

[9]  Wallace E. Carroll,et al.  The Diffusion and Assimilation of Information Technology Innovations , 2001 .

[10]  Jay F. Nunamaker,et al.  A Technology Transition Model Derived from Field Investigation of GSS Use About the U , 1998 .

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

[12]  W. Kaplan,et al.  Globalization and Health BioMed Central Debate , 2006 .

[13]  Reinhold Haux,et al.  Health information systems - past, present, future , 2006, Int. J. Medical Informatics.

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

[15]  S. Bharat,et al.  Understanding and measuring AIDS-related stigma in health care settings: A developing country perspective , 2007, SAHARA J : journal of Social Aspects of HIV/AIDS Research Alliance.

[16]  Joe Nandhakumar,et al.  Too close for comfort? Distance and engagement in interpretive information systems research , 1997, Inf. Syst. J..

[17]  Robert W. Zmud,et al.  Implementation, Innovation, and Related Themes Over The Years In Information Systems Research , 2007, J. Assoc. Inf. Syst..

[18]  Michael D. Myers,et al.  The qualitative interview in IS research: Examining the craft , 2007, Inf. Organ..

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

[20]  Per Hasvold,et al.  Risk analysis of information security in a mobile instant messaging and presence system for healthcare , 2007, Int. J. Medical Informatics.

[21]  Ha Chan,et al.  Remote HIV/AIDS Patient Monitoring Tool Using 3G/GPRS Packet-Switched Mobile Technology , 2006 .

[22]  G. Walsham,et al.  Research on information systems in developing countries: Current landscape and future prospects , 2006 .

[23]  Dale Goodhue,et al.  Task-Technology Fit and Individual Performance , 1995, MIS Q..

[24]  Valerie M. Jones,et al.  Future Challenges and Recommendations , 2006 .

[25]  Emil Jovanov,et al.  Guest Editorial Introduction to the Special Section on M-Health: Beyond Seamless Mobility and Global Wireless Health-Care Connectivity , 2004, IEEE Transactions on Information Technology in Biomedicine.

[26]  R. Istepanian,et al.  Mobile e-health: the unwired evolution of telemedicine. , 2003, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.

[27]  Phillip Olla,et al.  The M-Health Reference Model: An Organizing Framework for Conceptualizing Mobile Health Systems , 2006, Int. J. Heal. Inf. Syst. Informatics.

[28]  S. Barnes,et al.  Driving consumer acceptance of mobile marketing: a theoretical framework and empirical study , 2005 .

[29]  Henryk Sienkiewicz,et al.  Quo Vadis? , 1967, American Association of Industrial Nurses journal.

[30]  Peter Meso,et al.  Toward Sustainable Adoption of Technologies for Human Development in Sub-Saharan Africa: Precursors, Diagnostics, and Prescriptions , 2005, Commun. Assoc. Inf. Syst..

[31]  B. J. Oates,et al.  Researching Information Systems and Computing , 2005 .

[32]  A. Chetley,et al.  Improving health, connecting people : the role of ICTs in the health sector of developing countries - a framework paper , 2006 .

[33]  K. Patrick,et al.  Health and the mobile phone. , 2008, American journal of preventive medicine.

[34]  Mike Sharples,et al.  The Design and Implementation of a Mobile Learning Resource , 2002, Personal and Ubiquitous Computing.

[35]  Jay F. Nunamaker,et al.  A Technology Transition Model Derived from Field Investigation of GSS Use Aboard the U.S.S. CORONADO , 1998, J. Manag. Inf. Syst..

[36]  Elske Ammenwerth,et al.  Bmc Medical Informatics and Decision Making It-adoption and the Interaction of Task, Technology and Individuals: a Fit Framework and a Case Study , 2022 .

[37]  S. Kalichman Positive prevention : HIV transmission risk reduction interventions for people living with HIV / AIDS : conference plenary , 2007 .

[38]  Ephraim R. McLean,et al.  The DeLone and McLean Model of Information Systems Success: A Ten-Year Update , 2003, J. Manag. Inf. Syst..

[39]  Robert Yu,et al.  The Challenges for the Adoption of M-Health , 2006, 2006 IEEE International Conference on Service Operations and Logistics, and Informatics.

[40]  IstepanianR. S.H.,et al.  Guest Editorial Introduction to the Special Section on M-Health , 2004 .

[41]  Ojelanki K. Ngwenyama,et al.  Factors affecting ICT expansion in emerging economies: An analysis of ICT infrastructure expansion in five Latin American countries , 2009, Inf. Technol. Dev..

[42]  Young-Gul Kim,et al.  Extending the TAM for a World-Wide-Web context , 2000, Inf. Manag..