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Published in: BMC Medical Informatics and Decision Making 1/2019

Open Access 01-12-2019 | Research article

Assessing factors militating against the acceptance and successful implementation of a cloud based health center from the healthcare professionals’ perspective: a survey of hospitals in Benue state, northcentral Nigeria

Authors: Patience E. Idoga, Mehmet Toycan, Halil Nadiri, Erbuğ Çelebi

Published in: BMC Medical Informatics and Decision Making | Issue 1/2019

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Abstract

Background

Cloud based health platforms (CBHP) have tremendous capacity to meet patient’s health needs. The benefits inherent in CBHP position it to be relevant for efficient healthcare delivery. Nonetheless, studies have shown that the adoption of new technologies is sometimes a challenge especially in developing nations. This study, therefore, aim to examine, identify and evaluate the factors affecting healthcare professionals’ intention to accept the cloud-based health center (CBHC) in developing countries. The research study focuses on hospitals in North-central of Nigeria.

Methods

Using questionnaire adopted from related studies, a cross-sectional study was carried out of 300 healthcare professionals selected from medical health institutions in Benue State Nigeria. The study adopted the Unified Theory of Acceptance and use of Technology Extended (UTAUT2). Data analysis was carried out using SPSS (V20.0) and LISREL (V9.30) generally employed in Structural Equation Modeling to examine components and path model. The Socio technical design method was used to develop the CBHC.

Results

Findings portrays performance expectancy, cloud based health knowledge, IT infrastructure and social influence to have significant effects on the intentions of healthcare professionals to accept and use the CBHC. These findings, agrees with prior related studies.

Conclusions

Our findings impacts the body of knowledge in that it identifies important areas the studies can be useful, especially, to managers and healthcare policy makers in the planning/implementation of health cloud. Research findings from the theoretical acceptance model identifies the factors and barriers towards sustainable cloud based health center solutions to meet the healthcare needs of people in remote communities.
Literature
1.
go back to reference Naylor KT, Kudlow P, Li F, Yuen K. Improving healthcare with information technology. Univ West Ont Med J. 2011;80:1. Naylor KT, Kudlow P, Li F, Yuen K. Improving healthcare with information technology. Univ West Ont Med J. 2011;80:1.
2.
go back to reference Chiagunye T, Igbajar A, Ilo S. Cloud based health care information system for rural clinics in Nigeria. Int J Elect Elect Comput Sci Eng. 2015;2:6. Chiagunye T, Igbajar A, Ilo S. Cloud based health care information system for rural clinics in Nigeria. Int J Elect Elect Comput Sci Eng. 2015;2:6.
3.
go back to reference Nematzadeh A, Camp LJ. Threat analysis of online health information system. In: 3rd international conference on pervasive technologies related to assistive environments (PETRA); 2010. Accessed 8 Mar 2017. Nematzadeh A, Camp LJ. Threat analysis of online health information system. In: 3rd international conference on pervasive technologies related to assistive environments (PETRA); 2010. Accessed 8 Mar 2017.
4.
go back to reference Chen T-S, Liu C-H, Chen T-L, Chen C-S, Bau J-G, Lin T-C. Secure dynamic access control scheme of PHR in cloud computing. J Med Syst. 2012a;36(6):4005–20.PubMedCrossRef Chen T-S, Liu C-H, Chen T-L, Chen C-S, Bau J-G, Lin T-C. Secure dynamic access control scheme of PHR in cloud computing. J Med Syst. 2012a;36(6):4005–20.PubMedCrossRef
5.
go back to reference Fernández-Cardeñosa G, de la Torre-Díez I, López-Coronado M, Rodrigues JJPC. Analysis of cloud-based solutions on EHRs systems in different scenarios. J Med Syst. 2012;36(6):3777–82.PubMedCrossRef Fernández-Cardeñosa G, de la Torre-Díez I, López-Coronado M, Rodrigues JJPC. Analysis of cloud-based solutions on EHRs systems in different scenarios. J Med Syst. 2012;36(6):3777–82.PubMedCrossRef
6.
go back to reference Karthikeyan N, Sukanesh R. Cloud based emergency health care information service in India. J Med Syst. 2012;36(6):4031–6.PubMedCrossRef Karthikeyan N, Sukanesh R. Cloud based emergency health care information service in India. J Med Syst. 2012;36(6):4031–6.PubMedCrossRef
7.
go back to reference Shini SG, Thomas T, Chithraranjan K. Cloud-based medical image exchange security challenges. Procedia Eng. 2012;38:3454–61.CrossRef Shini SG, Thomas T, Chithraranjan K. Cloud-based medical image exchange security challenges. Procedia Eng. 2012;38:3454–61.CrossRef
8.
go back to reference Ratnam KA, Dominic PD. Cloud services-Enhancing the Malaysian healthcare sector. In Computer & Information Science (ICCIS), 2012 International Conference on 2012 Jun 12 (Vol. 2, pp. 604–608). Kuala Lumpur: IEEE. (ICCIS) 2012. Accessed 6 Oct 2017. Ratnam KA, Dominic PD. Cloud services-Enhancing the Malaysian healthcare sector. In Computer & Information Science (ICCIS), 2012 International Conference on 2012 Jun 12 (Vol. 2, pp. 604–608). Kuala Lumpur: IEEE. (ICCIS) 2012. Accessed 6 Oct 2017.
9.
go back to reference Basu S, Karp A, Li J, Pruyne J, Rolia J, Singhal S, Suermondt J, Swaminathan R. Fusion Managing healthcare records at cloud scale. Computer. 2012;45(11):42–9 Accessed 2 Aug 2017.CrossRef Basu S, Karp A, Li J, Pruyne J, Rolia J, Singhal S, Suermondt J, Swaminathan R. Fusion Managing healthcare records at cloud scale. Computer. 2012;45(11):42–9 Accessed 2 Aug 2017.CrossRef
10.
go back to reference Venkatesh V, Thong JY, Xu X. Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS Q. 2012;1:157–78.CrossRef Venkatesh V, Thong JY, Xu X. Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS Q. 2012;1:157–78.CrossRef
11.
go back to reference Kabashiki IR, Moneke NI. The impact of the use of health information and communication technology on health care delivery in Manitoba, Canada. J Hosp Admin. 2014;3(6):8. Kabashiki IR, Moneke NI. The impact of the use of health information and communication technology on health care delivery in Manitoba, Canada. J Hosp Admin. 2014;3(6):8.
13.
go back to reference Goyal S. Software as a service, platform as a service, infrastructure as a service− a review. Int J Comput Sci Netw Solut. 2013;1:53–65. Goyal S. Software as a service, platform as a service, infrastructure as a service− a review. Int J Comput Sci Netw Solut. 2013;1:53–65.
14.
go back to reference Berndt R-D, Takenga MC, Kuehn S, Preik P, Sommer G, Berndt S. SaaS-platform for mobile health application. In: 9th IEEE international multi-conference on systems, signals and devices (IEEE SSD); 2012. Accessed 11 June 2017. Berndt R-D, Takenga MC, Kuehn S, Preik P, Sommer G, Berndt S. SaaS-platform for mobile health application. In: 9th IEEE international multi-conference on systems, signals and devices (IEEE SSD); 2012. Accessed 11 June 2017.
15.
go back to reference Deng M, Nalin M, Petković M, Baroni I, Marco A. Towards trustworthy health platform cloud. In: Workshop on secure data management. Berlin: Springer; 2012. p. 162–75.CrossRef Deng M, Nalin M, Petković M, Baroni I, Marco A. Towards trustworthy health platform cloud. In: Workshop on secure data management. Berlin: Springer; 2012. p. 162–75.CrossRef
16.
go back to reference Choi J, Park JW, Chung J, Min BG. An intelligent remote monitoring system for artificial heart. IEEE Trans Inf Technol Biomed. 2005;9(4):564–73 Accessed 19 Nov 2017.PubMedCrossRef Choi J, Park JW, Chung J, Min BG. An intelligent remote monitoring system for artificial heart. IEEE Trans Inf Technol Biomed. 2005;9(4):564–73 Accessed 19 Nov 2017.PubMedCrossRef
17.
go back to reference Ukeje C, Oni OA. The adoption of a national cloud framework for healthcare delivery in Nigeria. Int J Eng Res Appl. 2015;5(3):61–8. Ukeje C, Oni OA. The adoption of a national cloud framework for healthcare delivery in Nigeria. Int J Eng Res Appl. 2015;5(3):61–8.
19.
go back to reference Ajuwon GA. Use of the Internet for health information by physicians for patient care in a teaching hospital in Ibadan, Nigeria. Biomed Digit Libr. 2006;3(1):12.PubMedPubMedCentralCrossRef Ajuwon GA. Use of the Internet for health information by physicians for patient care in a teaching hospital in Ibadan, Nigeria. Biomed Digit Libr. 2006;3(1):12.PubMedPubMedCentralCrossRef
21.
go back to reference Thimbleby H. Technology and the future of healthcare. J Pub Health Res. 2013;2(3):e28.CrossRef Thimbleby H. Technology and the future of healthcare. J Pub Health Res. 2013;2(3):e28.CrossRef
22.
go back to reference Simon SR, Kaushal R, Cleary PD, Jenter CA, Volk LA, Poon EG, Orav EJ, Lo HG, Williams DH, Bates DW. Correlates of electronic health record adoption in office practices: a statewide survey. J Am Med Inform Assoc. 2007;14(1):110–7.PubMedPubMedCentralCrossRef Simon SR, Kaushal R, Cleary PD, Jenter CA, Volk LA, Poon EG, Orav EJ, Lo HG, Williams DH, Bates DW. Correlates of electronic health record adoption in office practices: a statewide survey. J Am Med Inform Assoc. 2007;14(1):110–7.PubMedPubMedCentralCrossRef
23.
go back to reference Zayyad MA, Toycan M. Factors affecting sustainable adoption of e-health technology in developing countries: an exploratory survey of Nigerian hospitals from the perspective of healthcare professionals. PeerJ. 2018;6:e4436.PubMedPubMedCentralCrossRef Zayyad MA, Toycan M. Factors affecting sustainable adoption of e-health technology in developing countries: an exploratory survey of Nigerian hospitals from the perspective of healthcare professionals. PeerJ. 2018;6:e4436.PubMedPubMedCentralCrossRef
24.
go back to reference Dillon A, Morris MG. User acceptance of information technology: theories and models. Annu Rev Inf Sci Technol. 1996;31:3–2 Accessed 23 Jan 2018. Dillon A, Morris MG. User acceptance of information technology: theories and models. Annu Rev Inf Sci Technol. 1996;31:3–2 Accessed 23 Jan 2018.
25.
go back to reference Southey G. The theories of reasoned action and planned behavior applied to business decisions: a selective annotated bibliography. J N Bus Ideas Trnds. 2011;9(1):43–51. Southey G. The theories of reasoned action and planned behavior applied to business decisions: a selective annotated bibliography. J N Bus Ideas Trnds. 2011;9(1):43–51.
26.
go back to reference Holden RJ, Karsh BT. The technology acceptance model: its past and its future in health care. J Biomed Inform. 2010;43(1):159–72.PubMedCrossRef Holden RJ, Karsh BT. The technology acceptance model: its past and its future in health care. J Biomed Inform. 2010;43(1):159–72.PubMedCrossRef
27.
go back to reference Yarbrough AK, Smith TB. Technology acceptance among physicians: a new take on TAM. Medicare Res Rev. 2007;64(6):650–72. Yarbrough AK, Smith TB. Technology acceptance among physicians: a new take on TAM. Medicare Res Rev. 2007;64(6):650–72.
28.
go back to reference Ahlan AR, Ahmad BIE. An overview of patient acceptance of health information technology in developing countries: a review and conceptual model. Int J Inform Syst Proj Manag. 2015;3(1):29–48. Ahlan AR, Ahmad BIE. An overview of patient acceptance of health information technology in developing countries: a review and conceptual model. Int J Inform Syst Proj Manag. 2015;3(1):29–48.
29.
go back to reference Fishbein M, Ajzen I. Belief, attitude, intention, and behavior: an introduction to theory and research; 1975. Fishbein M, Ajzen I. Belief, attitude, intention, and behavior: an introduction to theory and research; 1975.
30.
go back to reference Chen S-C, Li S-H, Li C-Y. Recent related research in technology acceptance model: a literature review. Aust J Bus Manag Res. 2011;1(9):124–7. Chen S-C, Li S-H, Li C-Y. Recent related research in technology acceptance model: a literature review. Aust J Bus Manag Res. 2011;1(9):124–7.
31.
go back to reference Venkatesh V, Morris MG, Davis GB, Davis FD. User acceptance of information technology: toward a unified view. MIS Q. 2003;27:425–78. Venkatesh V, Morris MG, Davis GB, Davis FD. User acceptance of information technology: toward a unified view. MIS Q. 2003;27:425–78.
32.
go back to reference Idoga PE. A literature review of eHealth sector and challenges in Nigeria. In: HONET-ICT. Nicosia: IEEE; 2016. p. 145–9. Idoga PE. A literature review of eHealth sector and challenges in Nigeria. In: HONET-ICT. Nicosia: IEEE; 2016. p. 145–9.
33.
go back to reference Mathew S. Cloud computing: a new foundation towards health care. Int J Innov Tech Exp Eng. 2013;3(2):118–21. Mathew S. Cloud computing: a new foundation towards health care. Int J Innov Tech Exp Eng. 2013;3(2):118–21.
34.
go back to reference Fylaktopoulos G, Skolarikis M, Papadopoulos I, Goumas G, Sotiropoulos A, Maglogiannis I. A distributed modular platform for the development of cloud based applications. Future Gener Comput Syst. 2018;78(P1):127–41.CrossRef Fylaktopoulos G, Skolarikis M, Papadopoulos I, Goumas G, Sotiropoulos A, Maglogiannis I. A distributed modular platform for the development of cloud based applications. Future Gener Comput Syst. 2018;78(P1):127–41.CrossRef
35.
go back to reference Ku WT, Hsieh PJ. Acceptance of cloud-based healthcare services by elderly Taiwanese people. In: International conference on human aspects of IT for the aged population. Toronto: Springer International Publishing; 2016. p. 186–95. Ku WT, Hsieh PJ. Acceptance of cloud-based healthcare services by elderly Taiwanese people. In: International conference on human aspects of IT for the aged population. Toronto: Springer International Publishing; 2016. p. 186–95.
37.
go back to reference Bartos CE, Butler BS, Crowley RS. Ranked levels of influence model: selecting influence techniques to minimize IT resistance. J Biomed Inform. 2011;44(3):497–504.PubMedCrossRef Bartos CE, Butler BS, Crowley RS. Ranked levels of influence model: selecting influence techniques to minimize IT resistance. J Biomed Inform. 2011;44(3):497–504.PubMedCrossRef
38.
go back to reference Su CY, Chao CM, Sun KH, Tai CF, Liu CW. Willingness of E-care cloud system using-based on a long-term caring institution in southern Taiwan. In: Orange technologies (ICOT), 2015 international conference. Hong Kong: IEEE; 2015. p. 122–6. Accessed 16 Sept 2018. Su CY, Chao CM, Sun KH, Tai CF, Liu CW. Willingness of E-care cloud system using-based on a long-term caring institution in southern Taiwan. In: Orange technologies (ICOT), 2015 international conference. Hong Kong: IEEE; 2015. p. 122–6. Accessed 16 Sept 2018.
39.
go back to reference Chen MS, Chang SW, Lai YH. The intention to use the cloud sphygmomanometer-demonstrated by Taiwan medical center. In: Image and signal processing, BioMedical engineering and informatics (CISP-BMEI), international congress. Datong: IEEE; 2016. p. 1843–8. Accessed 16 Sept 2018. Chen MS, Chang SW, Lai YH. The intention to use the cloud sphygmomanometer-demonstrated by Taiwan medical center. In: Image and signal processing, BioMedical engineering and informatics (CISP-BMEI), international congress. Datong: IEEE; 2016. p. 1843–8. Accessed 16 Sept 2018.
40.
go back to reference Hsieh PJ. An empirical investigation of patients’ acceptance and resistance toward the health cloud: the dual factor perspective. Comput Human Behav. 2016;63:959–69.CrossRef Hsieh PJ. An empirical investigation of patients’ acceptance and resistance toward the health cloud: the dual factor perspective. Comput Human Behav. 2016;63:959–69.CrossRef
41.
go back to reference Esmaeilzadeh P, Sambasivan M, Kumar N, Nezakati H. Adoption of clinical decision support systems in a developing country: antecedents and outcomes of physician's threat to perceived professional autonomy. Int J Med Inform. 2015;84(8):548–60.PubMedCrossRef Esmaeilzadeh P, Sambasivan M, Kumar N, Nezakati H. Adoption of clinical decision support systems in a developing country: antecedents and outcomes of physician's threat to perceived professional autonomy. Int J Med Inform. 2015;84(8):548–60.PubMedCrossRef
42.
go back to reference Dünnebeil S, Sunyaev A, Blohm I, Leimeister JM, Krcmar H. Determinants of physicians’ technology acceptance for e-health in ambulatory care. Int J Med Inform. 2012;81(11):746–60.PubMedCrossRef Dünnebeil S, Sunyaev A, Blohm I, Leimeister JM, Krcmar H. Determinants of physicians’ technology acceptance for e-health in ambulatory care. Int J Med Inform. 2012;81(11):746–60.PubMedCrossRef
43.
go back to reference Chau P, Hu P. Examining a model of information technology acceptance by individual professionals: an exploratory study. J Manag Inform Syst. 2002;18(4):191–229.CrossRef Chau P, Hu P. Examining a model of information technology acceptance by individual professionals: an exploratory study. J Manag Inform Syst. 2002;18(4):191–229.CrossRef
44.
go back to reference Abdullah JL, Seng LC. Acceptance of cloud computing in Klang Valley's health care industry. Malaysia Int J Econ Comm Manag. 2015;3(6):392–415. Abdullah JL, Seng LC. Acceptance of cloud computing in Klang Valley's health care industry. Malaysia Int J Econ Comm Manag. 2015;3(6):392–415.
45.
go back to reference Sedem AA, Twum F, Panford JK. Cloud computing framework for e-health in Ghana: adoption issues and strategies: case study of Ghana health service. J Comput. 2015;118(17):13–7. Sedem AA, Twum F, Panford JK. Cloud computing framework for e-health in Ghana: adoption issues and strategies: case study of Ghana health service. J Comput. 2015;118(17):13–7.
46.
go back to reference Heselmans A, Aertgeerts B, Donceel P, Geens S, Van de Velde S, Ramaekers D. Family physicians’ perceptions and use of electronic clinical decision support during the first year of implementation. J Med Syst. 2012;36(6):3677–84.PubMedCrossRef Heselmans A, Aertgeerts B, Donceel P, Geens S, Van de Velde S, Ramaekers D. Family physicians’ perceptions and use of electronic clinical decision support during the first year of implementation. J Med Syst. 2012;36(6):3677–84.PubMedCrossRef
47.
go back to reference Yu CS. Factors affecting individuals to adopt mobile banking: empirical evidence from the UTAUT model. J Elec Comm Res. 2012;13(2):104. Yu CS. Factors affecting individuals to adopt mobile banking: empirical evidence from the UTAUT model. J Elec Comm Res. 2012;13(2):104.
48.
go back to reference Negahban A, Chung CH. Discovering determinants of user’s perception of mobile device functionality fit. Comput Human Behav. 2014;35:75–84.CrossRef Negahban A, Chung CH. Discovering determinants of user’s perception of mobile device functionality fit. Comput Human Behav. 2014;35:75–84.CrossRef
49.
go back to reference Payton FC, Pare G, Le Rouge CM, Reddy M. Health care IT: process, people, patients and interdisciplinary considerations. J Assoc Inform Syst. 2011;12(2):4. Payton FC, Pare G, Le Rouge CM, Reddy M. Health care IT: process, people, patients and interdisciplinary considerations. J Assoc Inform Syst. 2011;12(2):4.
51.
go back to reference Vanneste D, Vermeulen B, Declercq A. Healthcare professionals’ acceptance of BelRAI, a web-based system enabling person-centred recording and data sharing across care settings with interRAI instruments: a UTAUT analysis. BMC Med Inform Decis Mak. 2013;13(1):129.PubMedPubMedCentralCrossRef Vanneste D, Vermeulen B, Declercq A. Healthcare professionals’ acceptance of BelRAI, a web-based system enabling person-centred recording and data sharing across care settings with interRAI instruments: a UTAUT analysis. BMC Med Inform Decis Mak. 2013;13(1):129.PubMedPubMedCentralCrossRef
53.
go back to reference Park N, Roman R, Lee S, Chung JE. User acceptance of a digital library system in developing countries: an application of the technology acceptance model. Int J Inform Manag. 2009;29(3):196–209.CrossRef Park N, Roman R, Lee S, Chung JE. User acceptance of a digital library system in developing countries: an application of the technology acceptance model. Int J Inform Manag. 2009;29(3):196–209.CrossRef
54.
go back to reference Ahlan AR, Ahmad BIE. User acceptance of health information technology (HIT) in developing countries: a conceptual model. Procedia Tech. 2014;16:1287–96.CrossRef Ahlan AR, Ahmad BIE. User acceptance of health information technology (HIT) in developing countries: a conceptual model. Procedia Tech. 2014;16:1287–96.CrossRef
55.
go back to reference Baptista G, Oliveira T. Understanding mobile banking: the unified theory of acceptance and use of technology combined with cultural moderators. Comput Human Behav. 2015;50:418–30.CrossRef Baptista G, Oliveira T. Understanding mobile banking: the unified theory of acceptance and use of technology combined with cultural moderators. Comput Human Behav. 2015;50:418–30.CrossRef
56.
go back to reference Phichitchaisopa N, Naenna T. Factors affecting the adoption of healthcare information technology. EXCLI J. 2013;12:413.PubMedPubMedCentral Phichitchaisopa N, Naenna T. Factors affecting the adoption of healthcare information technology. EXCLI J. 2013;12:413.PubMedPubMedCentral
57.
go back to reference Becker D. Acceptance of mobile mental health treatment applications. Procedia Comput Sci. 2016;98:220–7.CrossRef Becker D. Acceptance of mobile mental health treatment applications. Procedia Comput Sci. 2016;98:220–7.CrossRef
58.
go back to reference Currie WL, Seddon JJ. A cross-national analysis of eHealth in the European Union: some policy and research directions. Inform Manag. 2014;51(6):783–97.CrossRef Currie WL, Seddon JJ. A cross-national analysis of eHealth in the European Union: some policy and research directions. Inform Manag. 2014;51(6):783–97.CrossRef
59.
go back to reference Kim KK, Joseph JG, Ohno-Machado L. Comparison of consumers’ views on electronic data sharing for healthcare and research. J Am Med Inform Assoc. 2015;22(4):821–30.PubMedPubMedCentralCrossRef Kim KK, Joseph JG, Ohno-Machado L. Comparison of consumers’ views on electronic data sharing for healthcare and research. J Am Med Inform Assoc. 2015;22(4):821–30.PubMedPubMedCentralCrossRef
60.
go back to reference Abu-Dalbouh HM. A questionnaire approach based on the technology acceptance model for mobile tracking on patient progress applications. J Comput Sci. 2013;9(6):763–70.CrossRef Abu-Dalbouh HM. A questionnaire approach based on the technology acceptance model for mobile tracking on patient progress applications. J Comput Sci. 2013;9(6):763–70.CrossRef
61.
go back to reference De Sena Abrahão R, Moriguchi SN, Andrade DF. Intention of adoption of mobile payment: an analysis in the light of the unified theory of acceptance and use of technology (UTAUT). RAI. 2016;13(3):221–30.CrossRef De Sena Abrahão R, Moriguchi SN, Andrade DF. Intention of adoption of mobile payment: an analysis in the light of the unified theory of acceptance and use of technology (UTAUT). RAI. 2016;13(3):221–30.CrossRef
62.
go back to reference Martins C, Oliveira T, Popovič A. Understanding the internet banking adoption: a unified theory of acceptance and use of technology and perceived risk application. Int J Inform Manag. 2014;34(1):1–13.CrossRef Martins C, Oliveira T, Popovič A. Understanding the internet banking adoption: a unified theory of acceptance and use of technology and perceived risk application. Int J Inform Manag. 2014;34(1):1–13.CrossRef
63.
go back to reference Nikou SA, Economides AA. Mobile-based assessment: integrating acceptance and motivational factors into a combined model of self-determination theory and technology acceptance. Comput Human Behav. 2017;68:83–95.CrossRef Nikou SA, Economides AA. Mobile-based assessment: integrating acceptance and motivational factors into a combined model of self-determination theory and technology acceptance. Comput Human Behav. 2017;68:83–95.CrossRef
64.
go back to reference Lescevica M, Ginters E, Mazza R. Unified theory of acceptance and use of technology (UTAUT) for market analysis of FP7 CHOReOS products. Procedia Comput Sci. 2013;26:51–68.CrossRef Lescevica M, Ginters E, Mazza R. Unified theory of acceptance and use of technology (UTAUT) for market analysis of FP7 CHOReOS products. Procedia Comput Sci. 2013;26:51–68.CrossRef
66.
go back to reference Halawi LA, McCarthy RV, Aronson JE. An empirical investigation of knowledge management systems’ success. J Comput Inform Syst. 2008;48(2):121–35. Halawi LA, McCarthy RV, Aronson JE. An empirical investigation of knowledge management systems’ success. J Comput Inform Syst. 2008;48(2):121–35.
67.
go back to reference Al-Somali SA, Gholami R, Clegg B. Internet banking acceptance in the context of developing countries: an extension of the technology acceptance model. In: European Conference on Management of Technology; 2008. Accessed 29 Jan 2018. Al-Somali SA, Gholami R, Clegg B. Internet banking acceptance in the context of developing countries: an extension of the technology acceptance model. In: European Conference on Management of Technology; 2008. Accessed 29 Jan 2018.
68.
go back to reference Fraser H, Biondich P, Moodley D, Choi S, Mamlin B, Szolovits P. Implementing electronic medical record systems in developing countries. J Innov Health Inform. 2005;13(2):83–95.CrossRef Fraser H, Biondich P, Moodley D, Choi S, Mamlin B, Szolovits P. Implementing electronic medical record systems in developing countries. J Innov Health Inform. 2005;13(2):83–95.CrossRef
69.
go back to reference Fornell C, Larcker DF. Evaluating structural equation models with unobservable variables and measurement error. J Mark Res. 1981;18:39–50. Fornell C, Larcker DF. Evaluating structural equation models with unobservable variables and measurement error. J Mark Res. 1981;18:39–50.
70.
go back to reference Dormekpor E. Poverty and gender inequality in developing countries. Dev Ctry Stud. 2015;5(10):76–102. Dormekpor E. Poverty and gender inequality in developing countries. Dev Ctry Stud. 2015;5(10):76–102.
71.
go back to reference Bagozzi RP. Evaluating structural equation models with unobservable variables and measurement error: a comment. J Mark Res. 1981;18:375–81. Bagozzi RP. Evaluating structural equation models with unobservable variables and measurement error: a comment. J Mark Res. 1981;18:375–81.
72.
go back to reference Morse JM, Barrett M, Mayan M, Olson K, Spiers J. Verification strategies for establishing reliability and validity in qualitative research. Int J Qual Meth. 2002;1(2):13–22.CrossRef Morse JM, Barrett M, Mayan M, Olson K, Spiers J. Verification strategies for establishing reliability and validity in qualitative research. Int J Qual Meth. 2002;1(2):13–22.CrossRef
73.
go back to reference Hair JR, Anderson RE, Tatham RL, Black WC. Multivariate data analysis with readings. New York: Macimillan; 1992. Hair JR, Anderson RE, Tatham RL, Black WC. Multivariate data analysis with readings. New York: Macimillan; 1992.
74.
go back to reference Koo TK, Mae YL. A guideline of selecting and reporting intraclass correlation coefficients for reliability research. J Chiropr Med. 2016;15(2):155–63.PubMedPubMedCentralCrossRef Koo TK, Mae YL. A guideline of selecting and reporting intraclass correlation coefficients for reliability research. J Chiropr Med. 2016;15(2):155–63.PubMedPubMedCentralCrossRef
75.
go back to reference Fleiss JL, Cohen J. The equivalence of weighted kappa and the intraclass correlation coefficient as measures of reliability. Edu Psychol Meas. 1973;33(3):613–9.CrossRef Fleiss JL, Cohen J. The equivalence of weighted kappa and the intraclass correlation coefficient as measures of reliability. Edu Psychol Meas. 1973;33(3):613–9.CrossRef
76.
go back to reference Peter JP. Reliability: A review of psychometric basics and recent marketing practices. J Mark Res. 1979;16:6–17. Peter JP. Reliability: A review of psychometric basics and recent marketing practices. J Mark Res. 1979;16:6–17.
77.
go back to reference Zissis D, Lekkas D. Addressing cloud computing security issues. Future Gener Comput Syst. 2012;28(3):583–92.CrossRef Zissis D, Lekkas D. Addressing cloud computing security issues. Future Gener Comput Syst. 2012;28(3):583–92.CrossRef
78.
go back to reference Ravangard R, Kazemi Z, Abbasali SZ, Sharifian R, Monem H. Development of the UTAUT2 model to measure the acceptance of medical laboratory portals by patients in shiraz. Elect Phys. 2017;9(2):386. Ravangard R, Kazemi Z, Abbasali SZ, Sharifian R, Monem H. Development of the UTAUT2 model to measure the acceptance of medical laboratory portals by patients in shiraz. Elect Phys. 2017;9(2):386.
79.
go back to reference Olok GT, Yagos WO, Ovuga E. Knowledge and attitudes of doctors towards e-health use in healthcare delivery in government and private hospitals in northern Uganda: a cross-sectional study. BMC Med Inform Decis Mak. 2015;15(1):87.PubMedPubMedCentralCrossRef Olok GT, Yagos WO, Ovuga E. Knowledge and attitudes of doctors towards e-health use in healthcare delivery in government and private hospitals in northern Uganda: a cross-sectional study. BMC Med Inform Decis Mak. 2015;15(1):87.PubMedPubMedCentralCrossRef
80.
go back to reference Abodunrin O, Akande T. Knowledge and perception of e-health and telemedicine among health professionals in LAUTECH teaching hospital, Oshogbo, Nigeria. Int J Health Res. 2009;2(1);51–58. Abodunrin O, Akande T. Knowledge and perception of e-health and telemedicine among health professionals in LAUTECH teaching hospital, Oshogbo, Nigeria. Int J Health Res. 2009;2(1);51–58.
81.
go back to reference Jarosławski S, Saberwal G. In eHealth in India today, the nature of work, the challenges and the finances: an interview-based study. BMC Med Inform Decis Mak. 2014;14(1):1.PubMedPubMedCentralCrossRef Jarosławski S, Saberwal G. In eHealth in India today, the nature of work, the challenges and the finances: an interview-based study. BMC Med Inform Decis Mak. 2014;14(1):1.PubMedPubMedCentralCrossRef
82.
go back to reference Steininger K, Stiglbauer B. EHR acceptance among Austrian resident doctors. Health Policy Tech. 2015;4(2):121–30.CrossRef Steininger K, Stiglbauer B. EHR acceptance among Austrian resident doctors. Health Policy Tech. 2015;4(2):121–30.CrossRef
83.
go back to reference Hsieh PJ. Healthcare professionals’ use of health clouds: Integrating technology acceptance and status quobias perspectives. Int J Med Inform. 2015;84(7):512–23. Hsieh PJ. Healthcare professionals’ use of health clouds: Integrating technology acceptance and status quobias perspectives. Int J Med Inform. 2015;84(7):512–23.
Metadata
Title
Assessing factors militating against the acceptance and successful implementation of a cloud based health center from the healthcare professionals’ perspective: a survey of hospitals in Benue state, northcentral Nigeria
Authors
Patience E. Idoga
Mehmet Toycan
Halil Nadiri
Erbuğ Çelebi
Publication date
01-12-2019
Publisher
BioMed Central
Published in
BMC Medical Informatics and Decision Making / Issue 1/2019
Electronic ISSN: 1472-6947
DOI
https://doi.org/10.1186/s12911-019-0751-x

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