Health Information Technology and Diabetes Management: A Review of Motivational and Inhibitory Factors

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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Organizational Factors Influencing Health Information Technology Adoption in Long-Term-Care Facilities

The Health Care Manager ◽

10.1097/01.hcm.0000440624.85255.8e ◽

2014 ◽

Vol 33 (1) ◽

pp. 30-37 ◽

Cited By ~ 3

Author(s):

Tiankai Wang ◽

Yangmei Wang ◽

Jackie Moczygemba

Keyword(s):

Information Technology ◽

Health Information Technology ◽

Health Information ◽

Long Term Care ◽

Organizational Factors ◽

Term Care ◽

Information Technology Adoption ◽

Factors Influencing ◽

Care Facilities

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Evaluating the relationship between health information technology and safer-prescribing in the long-term care setting: A systematic review

Technology and Health Care ◽

10.3233/thc-202196 ◽

2020 ◽

pp. 1-14

Author(s):

Clemens Scott Kruse ◽

Michael Mileski ◽

Rohan Syal ◽

Lauren MacNeil ◽

Edward Chabarria ◽

...

Keyword(s):

Systematic Review ◽

Information Technology ◽

Health Information Technology ◽

Health Information ◽

Long Term Care ◽

New Technologies ◽

Term Care ◽

Care Facilities ◽

Reduced Risk

BACKGROUND: The prevalence of health information technology (HIT) as an adjunct to increase safety and quality in healthcare applications is well known. There is a relationship between the use of HIT and safer-prescribing practices in long-term care. OBJECTIVE: The objective of this systematic review is to determine an association between the use of HIT and the improvement of prescription administration in long-term care facilities. METHODS: A systematic review was conducted using the MEDLINE and CINAHL databases. With the use of certain key terms, 66 articles were obtained. Each article was then reviewed by two researchers to determine if the study was germane to the research objective. If both reviewers agreed with using the article, it became a source for our review. The review was conducted and structured based on Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. RESULTS: The researchers identified 14 articles to include in a group for analysis from North America, Europe, and Australia. Electronic health records and electronic medication administration records were the two most common forms of technological interventions (6 of 14, 43%). Reduced risk, decreased error, decreased missed dosage, improved documentation, improved clinical process, and stronger clinical focus comprised 92% of the observations. CONCLUSIONS: HIT has shown beneficial effects for many healthcare organizations. Long-term care facilities that implemented health information technologies, have shown reductions in adverse drug events caused by medication errors overall reduced risk to the organization. The implementation of new technologies did not increase the time nurses spent on medication rounds.

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Factors influencing health information technology adoption in Thailand's community health centers: Applying the UTAUT model

International Journal of Medical Informatics ◽

10.1016/j.ijmedinf.2008.12.005 ◽

2009 ◽

Vol 78 (6) ◽

pp. 404-416 ◽

Cited By ~ 260

Author(s):

Boonchai Kijsanayotin ◽

Supasit Pannarunothai ◽

Stuart M. Speedie

Keyword(s):

Information Technology ◽

Technology Adoption ◽

Community Health ◽

Health Information Technology ◽

Health Information ◽

Community Health Centers ◽

Health Centers ◽

Information Technology Adoption ◽

Utaut Model ◽

Factors Influencing

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Promises and Pitfalls of Health Information Technology for Home- and Community-Based Services

Journal of Applied Gerontology ◽

10.1177/0733464820941364 ◽

2020 ◽

pp. 073346482094136

Author(s):

Sangeeta C. Ahluwalia ◽

Esther Friedman ◽

Daniel Siconolfi ◽

Debra Saliba ◽

Jessica Phillips ◽

...

Keyword(s):

Information Technology ◽

Health Information Technology ◽

Health Information ◽

Service Agency ◽

Community Based ◽

Incentive Program ◽

Services And Supports ◽

Consumer Advocates ◽

Community Based Services

Background: Health information technology (HIT) use in home- and community-based services (HCBS) has been hindered by inadequate resources and incentives to support modernization. We sought to understand the ways the Medicaid Balancing Incentive Program (BIP) facilitated increased use of HIT to increase access to HCBS. Method: Qualitative analysis of interviews with 30 Medicaid administrators, service agency providers, and consumer advocates. Results: Although stakeholders perceived several benefits to greater HIT use, they highlighted critical challenges to effective adoption within the long-term services and supports (LTSS) system, including lack of extant expertise/knowledge about HIT, the limited reach of HIT among rural and disabled beneficiaries, burdensome procurement processes, and the ongoing resources required to maintain up-to-date HIT solutions. Conclusion: The structural reforms required by BIP gave states an opportunity to modernize their HCBS systems through use of HIT. However, barriers to HIT adoption persist, underscoring the need for continued support as part of future rebalancing efforts.

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