Technology adoption: an analysis of the major models and theories

Yadegari, Mahdi; Mohammadi, Shahriar; Masoumi, Amir H.

doi:10.1080/09537325.2022.2071255

Cited by 17 publications

(9 citation statements)

References 34 publications

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“…Changing malleable negative perceptions about the use of technology in healthcare delivery will lead to better and sustainable adoption. Both physicians and patients should be supported with telemedicine technologies that are useful in meeting their objectives, are accessible and easy to use, and are consistent with the technology acceptance model (TAM) [ 47 ]. The lack of telemedicine curricula in most physician programs makes breaking free from cultural resistance even more challenging.…”

Section: Discussionmentioning

confidence: 99%

Experiences on the Utility and Barriers of Telemedicine in Healthcare Delivery in Kenya

Onsongo

Kamotho²,

Wit

et al. 2023

International Journal of Telemedicine and Applications

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Introduction. Telemedicine is the provision of health services over a distance using information communication technology devices. Telemedicine is emerging as a promising component of healthcare care delivery worldwide, accelerated by the COVID-19 pandemic. This study assessed the factors promoting uptake, barriers, and opportunities for telemedicine among doctors in Kenya. Methodology. A semiquantitative, cross-sectional online survey was conducted among doctors in Kenya. During a month, between February and March 2021, 1,200 doctors were approached by email and WhatsApp, of whom 13% responded. Findings. A total of 157 interviewees participated in the study. The general usage of telemedicine was 50%. Seventy-three percent of doctors reported using a mix of in-person care and telemedicine. Fifty percent reported using telemedicine to support physician-to-physician consultations. Telemedicine had limited utility as a standalone clinical service. The inadequate information communication technology infrastructure was the most reported barrier to telemedicine, followed by a cultural resistance to using technology to deliver healthcare services. Other notable barriers were the high cost of initial setup limited skills among patients, limited skills among doctors, inadequate funding to support telemedicine services, weak legislative/policy framework, and lack of dedicated time for telemedicine services. The COVID-19 pandemic increased the uptake of telemedicine in Kenya. Conclusion. The most extensive use of telemedicine in Kenya supports physician-to-physician consultations. There is limited single use of telemedicine in providing direct clinical services to patients. However, telemedicine is regularly used in combination with in-person clinical services, allowing for continuity of clinical services beyond the physical hospital infrastructure. With the widespread adoption of digital technologies in Kenya, especially mobile telephone technologies, the growth opportunities for telemedicine services are immense. Numerous mobile applications will improve access capabilities for both service providers and users and bridge the gaps in care.

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Section: Discussionmentioning

confidence: 99%

Experiences on the Utility and Barriers of Telemedicine in Healthcare Delivery in Kenya

Onsongo

Kamotho²,

Wit

et al. 2023

International Journal of Telemedicine and Applications

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“…While many technology adoption models are in use [ 4 ] and have provided considerable insight into the adoption of digital technologies in the health care domain [ 5 , 6 ], to date, no study has specifically examined the implementation of an RTLS in a tertiary dementia care setting. To better demonstrate the potential barriers and enablers of RTLS adoption in a clinical setting, we used the Fit Between Individuals, Tasks, and Technology (FITT) framework developed by Ammenwerth et al [ 8 ].…”

Section: Introductionmentioning

confidence: 99%

“…Software connected to this wireless network can provide continuous real-time visualizations of the location data on a facility map. RTLS installations have been studied in a wide variety of health care settings to monitor individuals' movements (eg, residents or patients and health care providers [HCPs]) [3][4][5] and assets (eg, surgical equipment) [6] and, more recently, to collect health data [3,[7][8][9]. These systems are particularly well suited for monitoring movement and reducing the risk of unaccompanied exit (eg, elopement); however, RTLS data have also been used to inform clinical decision-making processes and to monitor health status or the effects of an intervention [10].…”

Section: Introductionmentioning

confidence: 99%

Factors That Influence Successful Adoption of Real-Time Location Systems for Use in a Dementia Care Setting: Mixed Methods Study

Haslam-Larmer,

Grigorovich,

Shum

et al. 2024

JMIR Aging

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Background Technology has been identified as a potential solution to alleviate resource gaps and augment care delivery in dementia care settings such as hospitals, long-term care, and retirement homes. There has been an increasing interest in using real-time location systems (RTLS) across health care settings for older adults with dementia, specifically related to the ability to track a person’s movement and location. Objective In this study, we aimed to explore the factors that influence the adoption or nonadoption of an RTLS during its implementation in a specialized inpatient dementia unit in a tertiary care rehabilitation hospital. Methods The study included data from a brief quantitative survey and interviews from a convenience sample of frontline participants. Our deductive analysis of the interview used the 3 categories of the Fit Between Individuals, Task, and Technology framework as follows: individual and task, individual and technology, and task and technology. The purpose of using this framework was to assess the quality of the fit between technology attributes and an individual’s self-reported intentions to adopt RTLS technology. Results A total of 20 health care providers (HCPs) completed the survey, of which 16 (80%) participated in interviews. Coding and subsequent analysis identified 2 conceptual subthemes in the individual-task fit category, including the identification of the task and the perception that participants were missing at-risk patient events. The task-technology fit category consisted of 3 subthemes, including reorganization of the task, personal control in relation to the task, and efficiency or resource allocation. A total of 4 subthemes were identified in the individual-technology fit category, including privacy and personal agency, trust in the technology, user interfaces, and perceptions of increased safety. Conclusions By the end of the study, most of the unit’s HCPs were using the tablet app based on their perception of its usefulness, its alignment with their comfort level with technology, and its ability to help them perform job responsibilities. HCPs perceived that they were able to reduce patient search time dramatically, yet any improvements in care were noted to be implied, as this was not measured. There was limited anecdotal evidence of reduced patient risk or adverse events, but greater reported peace of mind for HCPs overseeing patients’ activity levels.

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“…However, introducing new technologies into healthcare contexts is challenging [ 12 ]. It is helped by participatory approaches and applying psychosocial theories of behavioural change that have evolved to theories of technology adoption [ 13 , 14 ]. The Technology Acceptance Model (TAM) [ 15 ], Unified Theory of Acceptance and Technology Use (UTAUT) [ 16 ], and Diffusion of Innovation (DOI) [ 17 ] are 3 of the commonly used theories and models for managing and predicting adoption of new health information systems (HIS) [ 14 , 18 ].…”

Section: Introductionmentioning

confidence: 99%

“…It is helped by participatory approaches and applying psychosocial theories of behavioural change that have evolved to theories of technology adoption [ 13 , 14 ]. The Technology Acceptance Model (TAM) [ 15 ], Unified Theory of Acceptance and Technology Use (UTAUT) [ 16 ], and Diffusion of Innovation (DOI) [ 17 ] are 3 of the commonly used theories and models for managing and predicting adoption of new health information systems (HIS) [ 14 , 18 ]. In TAM and UTAUT, ‘behavioural intent to use’—an individual’s motivation or willingness to exert effort to perform the target behaviour (to use the system)—is the main determinant of ‘actual use’ [ 19 ].…”

Section: Introductionmentioning

confidence: 99%

A snapshot on a journey from frustration to readiness–A qualitative pre-implementation exploration of readiness for technology adoption in Public Health Protection in Ireland

Tilley,

McKeon,

Ibrahim

et al. 2024

PLOS Digit Health

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In an era of emergent infectious disease, the timely and efficient management of disease outbreaks is critical to public health protection. Integrated technologies for case and incident management (CIM) collect real-time health intelligence for decision making in Public Health. In Ireland, a Public Health reform program is preparing for implementation of a health information system for health protection. Project implementers seek to document and understand the readiness and willingness of future users to adopt the new system, prior to system procurement and implementation. Qualitative key informant interviews were conducted (n = 8) with Public Health personnel from a single regional department of Public Health representing medical, nursing, disease surveillance and administrative roles, at managerial and staff levels. A qualitative thematic analysis was performed. Participants were frustrated by weaknesses in the current practice of CIM and were ready and willing to adopt a digital CIM system if it met their needs. However, they were frustrated by lack of clear timelines. We identified 7 enablers and 3 barriers to readiness and willingness to adopt a CIM system. ‘Newness of the workforce’ was the main enabler of readiness and willingness, while ‘lack of knowledge and familiarity with system’ was the main barrier to readiness and willingness. Experiences during the COVID-19 pandemic gave a clear understanding of the problems and need for a digital CIM system and the reform program facilitated a culture of change, readying the workforce for the new health information system. New members of the Public Health departments are a likely ready and eager cohort for adoption of a modern, ‘fit for purpose’ CIM system and the execution of implementation will likely determine how ready and willing the wider network of departments will be to adopt a national CIMS.

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Technology adoption: an analysis of the major models and theories

Cited by 17 publications

References 34 publications

Experiences on the Utility and Barriers of Telemedicine in Healthcare Delivery in Kenya

Experiences on the Utility and Barriers of Telemedicine in Healthcare Delivery in Kenya

Factors That Influence Successful Adoption of Real-Time Location Systems for Use in a Dementia Care Setting: Mixed Methods Study

A snapshot on a journey from frustration to readiness–A qualitative pre-implementation exploration of readiness for technology adoption in Public Health Protection in Ireland

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