PURPOSE: The purpose of this paper is to explore the attitudes of nursing home administrators and key managerial staff toward health information technology (health IT). DESIGN/METHODOLOGY/APPROACH: This research is exploratory in nature, and applies qualitative case-study methodology to further understand health IT adoption by nursing homes through multiple in-depth semi-structured interviews of management, and direct observations of employee behavior at each participating facility. A modified Technology Acceptance Model is used to examine the attitudes and perceptions of administrators. FINDINGS: This study finds that there are differences in the level of health IT adoption by nursing homes. While some administrators are aware of health IT and are implementing or updating their IT systems in a gradual but haphazard manner, others exhibited a lack of interest in implementing change. Overall, there is a lack of systematic planning and decision-making toward health IT adoption. Adoption is not evidence-based, instead driven primarily by real and perceived regulatory requirements combined with a lack of information about, or consideration of, the real costs and benefits of implementing health IT. RESEARCH LIMITATIONS/IMPLICATIONS: Including six in-depth case studies, the sample for this study is small for generalizing the findings. Yet, it contributes to the literature on the slow process of health IT adoption by nursing homes. Moreover, the findings provide guidelines for future research. PRACTICAL IMPLICATIONS: This study demonstrates that nursing home administrators must systematically plan the adoption of health IT, and such decision making should be evidenced-based and participatory so that employees can voice their opinions that could prevent future resistance. ORIGINALITY/VALUE: This study is original and advances knowledge on the reasons for the slow adoption of health IT in nursing homes. It finds that lack of adequate information regarding the utility and benefits of health IT in management adoption decisions can result in haphazard implementation or no adoption at all. This finding has significant value for policy makers' practitioners for improving accessibility of information regarding the use of health IT in nursing homes that could address the health IT adoption challenge in this industry.
PURPOSE: The purpose of this paper is to explore the attitudes of nursing home administrators and key managerial staff toward health information technology (health IT). DESIGN/METHODOLOGY/APPROACH: This research is exploratory in nature, and applies qualitative case-study methodology to further understand health IT adoption by nursing homes through multiple in-depth semi-structured interviews of management, and direct observations of employee behavior at each participating facility. A modified Technology Acceptance Model is used to examine the attitudes and perceptions of administrators. FINDINGS: This study finds that there are differences in the level of health IT adoption by nursing homes. While some administrators are aware of health IT and are implementing or updating their IT systems in a gradual but haphazard manner, others exhibited a lack of interest in implementing change. Overall, there is a lack of systematic planning and decision-making toward health IT adoption. Adoption is not evidence-based, instead driven primarily by real and perceived regulatory requirements combined with a lack of information about, or consideration of, the real costs and benefits of implementing health IT. RESEARCH LIMITATIONS/IMPLICATIONS: Including six in-depth case studies, the sample for this study is small for generalizing the findings. Yet, it contributes to the literature on the slow process of health IT adoption by nursing homes. Moreover, the findings provide guidelines for future research. PRACTICAL IMPLICATIONS: This study demonstrates that nursing home administrators must systematically plan the adoption of health IT, and such decision making should be evidenced-based and participatory so that employees can voice their opinions that could prevent future resistance. ORIGINALITY/VALUE: This study is original and advances knowledge on the reasons for the slow adoption of health IT in nursing homes. It finds that lack of adequate information regarding the utility and benefits of health IT in management adoption decisions can result in haphazard implementation or no adoption at all. This finding has significant value for policy makers' practitioners for improving accessibility of information regarding the use of health IT in nursing homes that could address the health IT adoption challenge in this industry.
Authors: Gregory L Alexander; Andrew Georgiou; Kevin Doughty; Andrew Hornblow; Anne Livingstone; Michelle Dougherty; Stephen Jacobs; Malcolm J Fisk Journal: Int J Med Inform Date: 2020-01-24 Impact factor: 4.046
Authors: Clemens Scott Kruse; Michael Mileski; Vyachelslav Alaytsev; Elizabeth Carol; Ariana Williams Journal: BMJ Open Date: 2015-01-28 Impact factor: 2.692
Authors: Maarten Houben; Rens Brankaert; Gail Kenning; Berry Eggen; Inge Bongers Journal: Int J Environ Res Public Health Date: 2020-08-31 Impact factor: 3.390