Acceptability of picture archiving and communication system (PACS) among hospital healthcare personnel based on a unified theory of acceptance and use of technology
Keywords:
PACS; Technology acceptance; Performance expectancy; Effort expectancy; Social influenceAbstract
Background and aim: The picture archiving and communication system (PACS) is a healthcare system technology which manages medical images and integrates equipment through a network. There are some theories about the use and acceptance of technology by people to describe the behavior and attitudes of end users towards information technologies. We investigated the influential factors on users’ acceptance of PACS in the military hospitals of Tehran.
Methods: In this applied analytical and cross-sectional study, 151 healthcare employees of military hospitals who had experience in using the PACS system were investigated. Participants were selected by census. The following variables were considered: performance expectancy, efforts expectancy, social influence, facilitating conditions and behavioral intention. Data were gathered using a questionnaire. Its validity and reliability were approved by a panel of experts and was piloted with 30 hospital healthcare staff (Cronbach's alpha =0.91). Spearman correlation coefficient and multiple linear regression analysis were used in analyzing the data.
Results: Expected performance, efforts expectancy, social impact and facilitating conditions had a significant relationship with behavioral intention. The multiple regression analysis indicated that only performance expectancy can predict the user’s behavioral intentions to use PACS technology.
Conclusion: Performance and effort expectancies are quite influential in accepting the use of PACS in hospitals. All healthcare personnel should become aware that using such technology is necessary in a hospital. Knowing the influencing factors that affect the acceptance of using new technology can help in improving its use, especially in a healthcare system. This can improve the offered healthcare services’ quality.
References
Schaper LK, Pervan GP. ICT and OTs: A model of information and communication technology acceptance
and utilisation by occupational therapists. International Journal of Medical Informatics. 2007;76:S212-21.
doi: 10.1016/j.ijmedinf.2006.05.028, PMid: 16828335
Blumental D. Launching Hi-tech. New England Journal of Medicine. 2010;362(5):382-5. DOI:
1056/NEJMp0912825
Aggelidis VP, Chatzoglou PD. Using a modified technology acceptance model in hospitals. International
Journal of Medical Informatics. 2009;78(2):115, doi: 10.1016/j.ijmedinf.2008.06.006, PMid: 18675583
Aldosari, B. User acceptance of a picture archiving and communication system (PACS) in a Saudi Arabian
hospital radiology department. BMC Medical Informatics and Decision Making. 2012. 12:44. DOI:
1186/1472-6947-12-44
OECD: Improving Health Sector Efficiency: The Role of Information and Communication Technologies.
Paris: OECD Health Policy Studies; 2010. Available from:
http://ec.europa.eu/health/eu_world/docs/oecd_ict_en.pdf
Pare G, Trudel MC: Knowledge barriers to PACS adoption and implementation in hospitals. International
Journal of Medical Informatics. 2007; 76(1):22–33. DOI:10.1016/j.ijmedinf.2006.01.004
Honeyman-Buck J: PACS adoption.Seminars in Roentgenology.2003; 38(3):256–269. DOI:
1016/S0037-198X(03)00045-2
Bramson RT, Bramson RA. Overcoming obstacles to work-changing technology such as PACS and voice
recognition. American Journal of Roentgenology. 2005; 184)6):1727–1730. DOI:
2214/ajr.184.6.01841727
Ward R, Stevens C, Brenthall P, Briddon J: The attitudes of health care staff to information technology: a
comprehensive review of the research literature. Health Information and Libraries Journal. 2008, 25(2):81–
DOI: 10.1111/j.1471-1842.2008.00777.x.
Buntin MB, Burke MF, Hoaglin MC, Blumenthal D. The benefits of health information technology: a
review of the recent literature shows predominantly positive results. Health Aff.2011; 30(3):464–471. DOI:
1377/hlthaff.2011.0178.
Tsiknakis M, Kouroubali A. Organizational factors affecting successful adoption of innovative e Health
services :a case study employing the FITT frame work. International Journal of Medical Informatics.
;78(1):39-52. DOI: 10.1016/j.jmedinf.2008.07.001
Holden RJ, Karsh BT. The technology acceptance model: its past and its future in health care. Journal of
Biomedical Informatics. 2010;43(1):159-72. DOI: 10.1016/j.jbi.2009.07.002.
Wills MD, El-Gayar OF, Bennett D. Examining healthcare professionals' acceptance of electronic medical
records using UTAUT. Issues in Information Systems.2008;9(2):396-401.
Venkatesh V. Morris M, Davis G, Davis F. User acceptance of technology: Toward a unified view.MIS
Quarterly.2003;27(3): 425-478.
Davis FD, Bagozzi, RP, Warshaw PR. User acceptance of computer technology: A comparison of two
theoretical models. Management Science.1989;35(8): 982-1003. doi: 10.1287/mnsc.35.8.982
Thompson RL, Higgins CA, Howell JM. Personal Computing: toward conceptual model of utilization.
Management Information system Quarterly. 1991;15(1): 125-143. DOI: 10.2307/249443
Moore GC, Benbasat IB. Development of an instrument to measure the perceptions of adopting an
innovation technology innovation. Information Systems Research.1991;2(3):192-222. doi:
1287/isre.2.3.192
Ammenwerth E, Gräber S, Herrmann G, Bürkle T, König J. Evaluation of health information systems –
problems and challenges. International Journal of Medical Informatics. 2003;71(2-3):125–35. DOI:
1016/S1386-5056(03)00131-X
Gupta B S D, Gupta A. Adoption of ICT in a government organization in a developing country: An
empirical study. Journal of Strategic country: An empirical study. Journal of Strategic Information Systems
;17(2):140-154. DOI: 10.1016/jsis.2007.12.004
Chang I C, Hwang H G, Li Y C. Physicians acceptance of pharmacokinetics-based clinical decision support
systems. Expert Systems with Applications 2007;23: 296-303. DOI: 10.1016/jeswa.2006.05.001
Gravand A, Ganbari sh, Ebrahhimi S, kafashi M, Ahmadzade F. The effective factors in adopting picture
archiving and communication system in Shiraz educational hospitals based on technology acceptance
model in 2015.Health and Biomedical informatics 2015;1(2):76-82.
Langarizadeh M, Gohari M, Koohestani A. Acceptance of Hospital Information System among Medical
Records Users Based on Technology Acceptance Model. Health Info manage.2014;10(2):800-9.
Ghodarzvand ghegini M, Esmaeeli S.The study of organizational culture associated with unified theory of
acceptance and use of technology in hospital of Rasht 2015;9(1):29-42.
Al-Awadhi S, Morris A. The use of the UTAUT model in the adoption of e-government services in Kuwait.
Proceedings of the 41st Hawaii International Conference on System Sciences. 2008. DOI:
1109/HICSS.2008.452
Duyck P, Pynoo B, Devolder P, Voet T, Adang L, Ovaere D, Vercruysse J. Monitoring the PACS
Implementation Process in a Large University Hospital—Discrepancies Between Radiologists and
Physicians . Journal of Digit Imaging 2010; 23(1): 73-80. DOI: 10.1007/s10278-008-9163-7.
Tung FC, Chang SC, Chou CM. An extension adoption of trust and TAM model with IDT in the adoption
of the electronic logistics information system in HIS in the medical industry. Int J Med Inform 2008;77(5):
-35. doi: 10.1016/j.ijmedinf.2008.07.006
Ghalandari K. The Effect of Performance Expectancy, Effort Expectancy, Social Influence and Facilitating
Conditions on Acceptance of E-Banking Services in Iran: the Moderating Role of Age and Gender. Middle- East J. Sci. Res. 2012;12 (6): 801-807.
Wu JH, Shen WS, Lin LM, Greenes RA & Bates DW. Testing the technology acceptance model for
evaluating healthcare professionals' intention to use an adverse event reporting system. International
Journal for Quality in Health Care 2008;20(2): 123-9. DOI: 10.1093/intqhc/mzm074.
Carlsson, C.H, Carlsson J, Hyvönen K, Puhakainen J. Walden P. Adoption of mobile devices/services –
searching for answers with the UTAUT Proceedings of the 39th Hawaii International Conference on
System Sciences. (CD-ROM); 2006 Jun 4-7; Kauai, HI, USA Computer Society Press 2006.p.10 pages.
Attuquayefio SN, Addo H. Using the UTAUT model to analyze students’ ICT adoption. IJEDICT. 2014;
(3):75-86
Ghalavandi H. Factors affecting the use of computers among teachers test of integrated theory and
technology acceptance. New thoughts on education journal. 2015; 11(3):11-27.
Published
Issue
Section
License
Copyright (c) 2020 KNOWLEDGE KINGDOM PUBLISHING
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.