Health Information Technology Acceptance Framework for diabetes management

Background: Health information technology helps patients to take better care of themselves and improves health status of patients with chronic diseases, such as diabetes. Objective: This study aimed to identify factors influencing the use of health information technology in diabetes management. Methods: This was a review study conducted in 2019. To obtain the related articles, databases including Scopus, Web of Science, Proquest and PubMed were searched and the time frame was between 2010 and 2018. Initially, 1159 articles were retrieved and after screening 28 articles were selected to be included in the study. Results: Factors influencing the use of health information technology in diabetes management could be divided into the motivational and inhibitory factors and each of them could be categorized into five groups of organizational, technical, economic, individual and ethical/legal factors. The motivational factors included training, system ease of use, economic support, having computer literacy, and maintaining privacy and confidentiality. The inhibitory factors included a lack of long-term planning, technical problems, inadequate financial resources, old age, and concerns over confidentiality issues. Conclusion: Identifying motivational and inhibitory factors can help to make better use of technology for diabetes management. This approach, in turn, can improve the acceptability of the technology and saves cost, reduces long-term complications of diabetes, and improves quality of life in diabetic patients.

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Acceptance of health information technology in health professionals: An application of the revised technology acceptance model

Health Informatics Journal ◽

10.1177/1460458211435425 ◽

2012 ◽

Vol 18 (2) ◽

pp. 124-134 ◽

Cited By ~ 80

Author(s):

Panayiotis Ketikidis ◽

Tomislav Dimitrovski ◽

Lambros Lazuras ◽

Peter A. Bath

Keyword(s):

Information Technology ◽

Technology Acceptance ◽

Health Information Technology ◽

Health Information ◽

Technology Acceptance Model ◽

Health Professionals ◽

Acceptance Model

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Evaluation of the adoption of Health Information Technology

10.20944/preprints202110.0151.v1 ◽

2021 ◽

Author(s):

Marina Juliana Gonçalves ◽

Claudia Aparecida de Mattos

Keyword(s):

Information Technology ◽

Technology Acceptance ◽

Health Information Technology ◽

Health Information ◽

Health Management ◽

Individual Level ◽

Institutional Improvement ◽

Acceptance Model ◽

The Individual ◽

Organisational Level

The adoption of health information technology (HIT) has increased considerably, contributing to better communication between physicians and patients and providing technological bases for learning and institutional improvement. This type of technology brings many challenges; therefore, understanding its adoption and assimilation is important to assess its potential for engendering desirable outcomes in health management. The assimilation of health information systems should be highlighted as their importance in health organisations is now recognised as a key facilitator assisting in providing better health outcomes. Thus, this study aimed to analyse HIT adoption based on models such as Technology, Organisation and Environment (TOE), which analyses at the organisational level, with other models, such as the Technology Acceptance Model (TAM), which analyses at the individual level, and the assimilation of the adopted technologies.

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Health information technology use and the decisions of altruistic physicians

European Journal for Person Centered Healthcare ◽

10.5750/ejpch.v1i2.669 ◽

2013 ◽

Vol 1 (2) ◽

pp. 343

Author(s):

Sandro Tsang

Keyword(s):

Information Technology ◽

Technology Acceptance ◽

Health Information Technology ◽

Health Information ◽

Technology Use ◽

Structural Equation ◽

Alternative Measure ◽

Physician Patient Relationship ◽

Intent To Use ◽

Statistical Results

Rationale, aims and objectives: Knowledge is the basis and mediator of medical care. Health information technology (HIT) can help in improving care only if physicians faithfully apply their knowledge during its use. A measure of judicious HIT use has recently been proposed. Behavioural research and the oft-cited technology acceptance model suggest that beliefs/perceptions may also represent decision factors. This paper proposes a perception scale and an alternative measure of judicious HIT use.Methods: Statistical analyses were performed on a subset of survey data collected for developing an eHealth success model. This paper focuses on deriving a structural equation model that can explain the associations among intent to use HIT, professional concerns and perceptions about the impacts of HIT on care benefits.Results: The statistical results show that altruism, autonomy, the physician-patient relationship, (subconscious) autonomy, efficiency and efficacy significantly associate with each other to different extents. Only altruism and efficacy appear to be significant determinants of intent to use at p<0.01 and p<0.05, respectively. The scaled χ2 difference test shows that this model is not significantly different from Tsang’s model.Conclusion: Physician performance cannot be reliably evaluated and monitored when based purely on direct observations. The statistical results indicate that professional concerns associate with physicians’ perceptions about the impacts of HIT and influence intent to use HIT. This paper shows a tendency of physicians to internalise factors that cannot be directly observed in the evaluation of HIT use. The study is advanced as of use in deriving policies that aim at coalescing evidence-based medical practice with humanism and thus as a significant contribution to the advancement of person-centered medicine.

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