Analysing cognitive reasoning of individuals type 1 Diabetes Mellitus to resolve hypoglycaemia

Leyer, Michael; Iloska, Dijana

doi:10.1016/j.obmed.2021.100330

Cited by 5 publications

(7 citation statements)

References 22 publications

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“…There are already HIS that support and help diabetes patients with concerns regarding diabetes. New HIS can serve a better service for diabetes patients (Leyer and Iloska 2021). The integrated theoretical model is used for diabetes scenarios with three different types of services.…”

Section: Editorial Universitat Politècnica De Valènciamentioning

confidence: 99%

“…Especially, new AI-based HIS have been proven to be effective in healthcare (Gesk et al 2021, Zheng et al 2021. This capacity can be used to define individual intervention plans considering diabetes issues (Leyer and Iloska 2021).…”

Section: Editorial Universitat Politècnica De Valènciamentioning

confidence: 99%

“…In order to answer the research question, we applied the integrated framework to the disease "diabetes" that is particularly suitable to investigate ongoing healthcare services that are present in the daily lives of individuals with diabetes (Leyer and Iloska 2021). In this regard, we investigated the balance of whether diabetes patients stick to their existing disease-related routine or intend to use the new HIS in order to regular their blood sugar better.…”

Section: Introductionmentioning

confidence: 99%

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Proceedings of the 17th International Research Symposium on Service Excellence in Management - QUIS17

2022

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This paper is based on an evaluation of a telemental health service, 'Let's Keep Talking', based in Liverpool, England. Telephone interviews were conducted with service users and volunteers, exploring both the utility of the service model in the pandemic context and its long-term viability. Findings highlight multiple benefits of this model, which has the potential to generate transformative change within the lives of both clients and volunteers. However, the particular benefits of face-to-face contact were also emphasised, ultimately supporting an argument for blended models of care. Key recommendations pertain to blended care and revisiting the service communications strategy.

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Section: Editorial Universitat Politècnica De Valènciamentioning

confidence: 99%

Section: Editorial Universitat Politècnica De Valènciamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Proceedings of the 17th International Research Symposium on Service Excellence in Management - QUIS17

2022

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“…We do so as we apply our framework to the diseases such as cataracts, arthrosis, and diabetes. All diseases are non–life-threatening but limit the quality of life [ 18 - 20 ]. They, however, differ in terms of standard procedures.…”

Section: Introductionmentioning

confidence: 99%

“…They aim to identify patterns better than physicians to improve those surgeries in the future [ 22 , 28 , 29 ]. Concerning long-term treatments and diabetes, AI-based HIS to support physicians and patients exist, for example, by defining individual intervention plans considering diabetes issues [ 20 , 24 ]. Furthermore, existing studies addressing AI-based HIS cover aspects of the theories we used in our integrated model.…”

Section: Introductionmentioning

confidence: 99%

Acceptance of AI in Health Care for Short- and Long-Term Treatments: Pilot Development Study of an Integrated Theoretical Model

Wichmann,

Gesk,

Leyer

2024

JMIR Form Res

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Background As digital technologies and especially artificial intelligence (AI) become increasingly important in health care, it is essential to determine whether and why potential users intend to use related health information systems (HIS). Several theories exist, but they focus mainly on aspects of health care or information systems, in addition to general psychological theories, and hence provide a small number of variables to explain future behavior. Thus, research that provides a larger number of variables by combining several theories from health care, information systems, and psychology is necessary. Objective This study aims to investigate the intention to use new HIS for decisions concerning short- and long-term medical treatments using an integrated approach with several variables to explain future behavior. Methods We developed an integrated theoretical model based on theories from health care, information systems, and psychology that allowed us to analyze the duality approach of adaptive and nonadaptive appraisals and their influence on the intention to use HIS. We applied the integrated theoretical model to the short-term treatment using AI-based HIS for surgery and the long-term treatment of diabetes tracking using survey data with structured equation modeling. To differentiate between certain levels of AI involvement, we used several scenarios that include treatments by physicians only, physicians with AI support, and AI only to understand how individuals perceive the influence of AI. Results Our results showed that for short- and long-term treatments, the variables perceived threats, fear (disease), perceived efficacy, attitude (HIS), and perceived norms are important to consider when determining the intention to use AI-based HIS. Furthermore, the results revealed that perceived efficacy and attitude (HIS) are the most important variables to determine intention to use for all treatments and scenarios. In contrast, abilities (HIS) were important for short-term treatments only. For our 9 scenarios, adaptive and nonadaptive appraisals were both important to determine intention to use, depending on whether the treatment is known. Furthermore, we determined R² values that varied between 57.9% and 81.7% for our scenarios, which showed that the explanation power of our model is medium to good. Conclusions We contribute to HIS literature by highlighting the importance of integrating disease- and technology-related factors and by providing an integrated theoretical model. As such, we show how adaptive and nonadaptive appraisals should be arranged to report on medical decisions in the future, especially in the short and long terms. Physicians and HIS developers can use our insights to identify promising rationale for HIS adoption concerning short- and long-term treatments and adapt and develop HIS accordingly. Specifically, HIS developers should ensure that future HIS act in terms of HIS functions, as our study shows that efficient HIS lead to a positive attitude toward the HIS and ultimately to a higher intention to use.

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Investigating user intentions regarding diabetes technology adoption with theory-based models: Application at an example of self-management of hypoglycemia

2022

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Analysing cognitive reasoning of individuals type 1 Diabetes Mellitus to resolve hypoglycaemia

Cited by 5 publications

References 22 publications

Proceedings of the 17th International Research Symposium on Service Excellence in Management - QUIS17

Proceedings of the 17th International Research Symposium on Service Excellence in Management - QUIS17

Acceptance of AI in Health Care for Short- and Long-Term Treatments: Pilot Development Study of an Integrated Theoretical Model

Investigating user intentions regarding diabetes technology adoption with theory-based models: Application at an example of self-management of hypoglycemia

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