Perceptions and attitudes of clinical staff towards telemedicine acceptance in Saudi Arabia

Regardless of promised benefits of telemedicine and its potential technical superiority, its adoption is often cited as a failed project and the lack of understanding potential user acceptance is one of the most pervasive reasons leading to this failure. More than 40% of Information and Communications Technology (ICT) adoption projects have failed for this reason and any ICT system would not be effective if its potential user were averse to utilising its adoption. To the best of our knowledge, no comprehensive scientific study has investigated the perceptions and attitudes of clinical staff towards telemedicine acceptance and use in the Kingdom of Saudi Arabia (KSA) healthcare system at a national level. The objective of this novel research lies in addressing this gap and is conducted in collaboration with the Saudi Ministry of Health (MOH). The Unified Theory of Acceptance and Use of Technology (UTAUT) is used to underpin this research and a questionnaire to support the objective of this research was conducted in KSA to collect data from a random sample of different categories of clinical staff in KSA. The survey of 1,523 returned questionnaires were selected and the findings of this study show that 67.6% of clinical staff on average expect or extremely expect high performance from using telemedicine in KSA. Also 62.6% of clinical staff agree or extremely agree that the use of telemedicine in KSA will be compatible with culture and society. On the other hand, 38.0% of clinical staff agree or extremely agree that the use of telemedicine will not be compatible with their job role. Furthermore 40.6% of participants stated that using telemedicine would not be easy for clinical staff and 37.4% of them indicated that it will waste a lot of time and require a lot of technical and non-clinical administrative time to complete

[1]  L. Gilson,et al.  The terrain of health policy analysis in low and middle income countries: a review of published literature 1994–2007 , 2008, Health policy and planning.

[2]  L. Wijngaert,et al.  Information and Communication Technology in Organizations: Adoption, Implementation, Use and Effects , 2005 .

[3]  Sulaiman A. Alateyah,et al.  Factors Affecting the Citizen’s Intention to Adopt E-government in Saudi Arabia , 2013 .

[4]  Abdul Rahman Ahlan,et al.  User Acceptance of Health Information Technology (HIT) in Developing Countries: A Conceptual Model , 2014 .

[5]  Hosam F. El-Sofany,et al.  E-government in Saudi Arabia: Barriers, Challenges and its Role of Development , 2012 .

[6]  Miss Laiha Mat Kiah Impact of data privacy and confidentiality on developing telemedicine applications: A review participates opinion and expert concerns , 2011 .

[7]  Sahar H. El-Khafif,et al.  Successes and challenges in the implementation and application of telemedicine in the eastern province of Saudi Arabia. , 2012, Perspectives in health information management.

[8]  Olivia R. Liu Sheng,et al.  Examining the Technology Acceptance Model Using Physician Acceptance of Telemedicine Technology , 1999, J. Manag. Inf. Syst..

[9]  Elske Ammenwerth,et al.  Evaluation of health information systems - problems and challenges , 2003, Int. J. Medical Informatics.

[10]  Peter M Yellowlees,et al.  Successfully developing a telemedicine system. , 2005, Journal of telemedicine and telecare.

[11]  Emre Sezgin,et al.  A Literature Review on Attitudes of Health Professionals towards Health Information Systems: From e-Health to m-Health , 2014 .

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

[13]  Seewon Ryu Telemedicine: Opportunities and Developments in Member States: Report on the Second Global Survey on eHealth 2009 (Global Observatory for eHealth Series, Volume 2) , 2012, Healthcare Informatics Research.

[14]  Treister Nw Physician acceptance of new medical information systems: the field of dreams. , 1998 .

[15]  Mohammad Iranmanesh,et al.  Determinants of Telemedicine Acceptance in Selected Public Hospitals in Malaysia: Clinical Perspective , 2014, Journal of Medical Systems.

[16]  B. Therrell,et al.  Barriers to implementing sustainable national newborn screening in developing health systems , 2014 .

[17]  Nir Menachemi,et al.  Factors Affecting the Adoption of Telemedicine—A Multiple Adopter Perspective , 2004, Journal of Medical Systems.

[18]  Mowafa Said Househ,et al.  Recommendations for Implementing Telemedicine in the Developing World , 2013, ICIMTH.

[19]  Bonnie Kaplan,et al.  White Paper: Health IT Success and Failure: Recommendations from Literature and an AMIA Workshop , 2009, J. Am. Medical Informatics Assoc..

[20]  K. Perreault,et al.  Research Design: Qualitative, Quantitative, and Mixed Methods Approaches , 2011 .

[21]  Adnan A. Albar,et al.  The major medical ethical challenges facing the public and healthcare providers in Saudi Arabia , 2012, Journal of family & community medicine.

[23]  Pratim Datta,et al.  Telemedicine in sub-Saharan Africa: The case of teleophthalmology and eye care in Ethiopia , 2006, J. Assoc. Inf. Sci. Technol..

[24]  Bonnie Kaplan,et al.  Evaluating informatics applications - some alternative approaches: theory, social interactionism, and call for methodological pluralism , 2001, Int. J. Medical Informatics.

[25]  Subrahmanyam Kodukula,et al.  Evaluation of Critical Success Factors for Telemedicine Implementation , 2011 .

[26]  M. Lynne Markus,et al.  If we build it, they will come: Designing information systems that people want to use , 1994 .

[27]  Aziz Sheikh,et al.  Organizational issues in the implementation and adoption of health information technology innovations: An interpretative review , 2013, Int. J. Medical Informatics.

[28]  Jeffrey C. Bauer,et al.  Telemedicine and the reinvention of healthcare , 1999 .

[29]  Kieran Mathieson,et al.  Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior , 1991, Inf. Syst. Res..

[30]  In Young Choi,et al.  Predictive factors of telemedicine service acceptance and behavioral intention of physicians , 2014, Int. J. Medical Informatics.

[31]  Ping Yu,et al.  A Multi-method Approach to Evaluate Health Information Systems , 2010, MedInfo.

[32]  G. Mountain,et al.  Factors affecting front line staff acceptance of telehealth technologies: a mixed-method systematic review. , 2014, Journal of advanced nursing.

[33]  Mun Y. Yi,et al.  Understanding information technology acceptance by individual professionals: Toward an integrative view , 2006, Inf. Manag..

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

[35]  N. Treister Physician acceptance of new medical information systems: the field of dreams. , 1998, Physician executive.

[36]  Victor Mbarika,et al.  Factors Affecting Adoption, Implementation and Sustainability of Telemedicine Information Systems in Uganda , 2011 .

[37]  B. Almutairi,et al.  A strategic roadmap for achieving the potential benefits of electronic health record system in the state of Kuwait , 2011 .

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

[39]  H. Keshvari,et al.  Survey Determinant Factors of Telemedicine Strategic Planning from the Managers and Experts Perspective in the Health Department, Isfahan University of Medical Sciences , 2014, Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH.

[40]  Yajiong Xue,et al.  Pacific Asia Conference on Information Systems ( PACIS ) 2014 UNDERSTANDING HEALTHCARE PROFESSIONALS ’ RESISTANCE OF TELEMEDICINE : AN EMPIRICAL STUDY IN ETHIOPIA , 2017 .

[41]  Jeffrey P. Baker,et al.  The Technology–Organization–Environment Framework , 2012 .

[42]  Carla Wiggins,et al.  Electronic Medical Records: TAM, UTAUT, and Culture , 2009, Int. J. Heal. Inf. Syst. Informatics.

[43]  Stuart M. Speedie,et al.  Factors influencing health information technology adoption in Thailand's community health centers: Applying the UTAUT model , 2009, Int. J. Medical Informatics.

[44]  Darren George,et al.  SPSS for Windows Step by Step: A Simple Guide and Reference , 1998 .

[45]  Helen Cooper,et al.  Solutions to Overcome Technical and Social Barriers to Electronic Health Records Implementation in Saudi Public and Private Hospitals , 2014 .

[46]  Donald R. Cooper,et al.  Business Research Methods , 1980 .

[47]  Nancy E. Wood,et al.  Integrating telemedicine in urban pediatric primary care: provider perspectives and performance. , 2010, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.

[48]  Richard Wootton,et al.  Adoption of telemedicine: from pilot stage to routine delivery , 2012, BMC Medical Informatics and Decision Making.

[49]  D. Eley,et al.  Barriers to the up-take of telemedicine in Australia--a view from providers. , 2011, Rural and remote health.

[50]  L. V. Dyk The development of a telemedicine service maturity model , 2013 .