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Alanzi TM, Alzahrani W, Almoraikhi M, Algannas A, Alghamdi M, Alzahrani L, Abutaleb R, Ba Dughaish R, Alotibi N, Alkhalifah S, Alshehri M, Alzahrani H, Almahdi R, Alanzi N, Farhah N. Adoption of Wearable Insulin Biosensors for Diabetes Management: A Cross-Sectional Study. Cureus 2023; 15:e50782. [PMID: 38239544 PMCID: PMC10795719 DOI: 10.7759/cureus.50782] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/17/2023] [Indexed: 01/22/2024] Open
Abstract
BACKGROUND Wearable insulin biosensors represent a novel approach that combines the benefits of real-time glucose monitoring and automated insulin delivery, potentially revolutionizing how individuals with diabetes manage their condition. STUDY PURPOSE To analyze the behavioral intentions of wearable insulin biosensors among diabetes patients, the factors that drive or hinder their usage, and the implications for diabetes management and healthcare outcomes. METHODS A cross-sectional survey design was adopted in this study. The validated questionnaire included 10 factors (Performance expectancy, effort expectancy, social influence, facilitating conditions, behavioral intention, trust, perceived privacy risk, and personal innovativeness) affecting the acceptance of wearable insulin sensors. A total of 248 diabetic patients who had used wearable sensors participated in the study. RESULTS Performance expectancy was rated the highest (Mean = 3.84 out of 5), followed by effort expectancy (Mean = 3.78 out of 5), and trust (Mean = 3.53 out of 5). Statistically significant differences (p < 0.05) were observed with respect to socio-demographic variables including age and gender on various influencing factors and adoption intentions. PE, EE, and trust were positively associated with adoption intentions. CONCLUSION While wearable insulin sensors are positively perceived with respect to diabetes management, issues like privacy and security may affect their adoption.
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Affiliation(s)
- Turki M Alanzi
- Department of Health Information Management and Technology, College of Public Health, Imam Abdulrahman Bin Faisal University, Dammam, SAU
| | - Wala Alzahrani
- Department of Clinical Nutrition, College of Applied Medical Sciences, King Abdulaziz University, Jeddah, SAU
| | | | | | - Mohammed Alghamdi
- Department of Pharmaceutical Services, Dhahran Long Term Care Hospital, Dhahran, SAU
| | | | | | | | - Nada Alotibi
- College of Pharmacy, Shaqra University, Shaqra, SAU
| | - Shayma Alkhalifah
- College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, SAU
| | - Mona Alshehri
- College of Medicine, Princess Nourah Bint Abdul Rahman University, Riyadh, SAU
| | | | - Reham Almahdi
- College of Medicine, Al Baha University, Al Baha, SAU
| | - Nouf Alanzi
- Department of Clinical Laboratories Sciences, College of Applied Medical Sciences, Jouf University, Jouf, SAU
| | - Nesren Farhah
- Department of Health Informatics, College of Health Sciences, Saudi Electronic University, Riyadh, SAU
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Mubeen F, Wang CL, Al Maradni A, Shivaswamy V, Sadhu AR. Digital Health and Shared Decision-Making in Diabetes Care - A Survey Initiative in Patients and Clinicians. Endocr Pract 2023:S1530-891X(23)00401-9. [PMID: 37178788 DOI: 10.1016/j.eprac.2023.04.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Revised: 04/25/2023] [Accepted: 04/26/2023] [Indexed: 05/15/2023]
Abstract
OBJECTIVE To assess the landscape of digital health resources in the United States, better understand the impact of the digital health on shared decision-making and identify potential barriers and opportunities for progress in the care of persons with diabetes. METHODS The study consisted of two phases: (1) A qualitative phase in which one-on-one interviews were conducted virtually with 34 physicians (Endocrinologists, Endos: n=15; primary care physicians, PCPs: n=19) between February 11-18, 2021, and (2) A quantitative phase in which two online, email-based surveys in the English language were conducted between April 16 and May 17, 2021: one with healthcare professionals (HCP) (n=403: n=200 Endos and n=203 PCPs), and one with persons with diabetes (n=517: patients with type 1 diabetes, n=257; patients with type 2 diabetes, n=260). RESULTS Diabetes digital health tools were found to be helpful in shared decision-making, but leading barriers include cost, coverage, and lack of time by healthcare professionals. Among diabetes digital health tools, continuous glucose monitoring (CGM) systems were used most commonly and viewed as most effective in improving quality of life and facilitating shared decision-making. Strategies for increasing use of diabetes digital health resources included lower cost, integration into electronic health records, and increased simplicity of tools. CONCLUSION This study revealed that both Endos and PCPs feel that diabetes digital health tools have an overall positive impact. Integration with telemedicine and simpler, lower cost tools with increased patient access can further facilitate shared decision-making and improved diabetes care and quality of life.
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Affiliation(s)
- Faiza Mubeen
- Department of Endocrinology, Diabetes and Metabolism, Weill Cornell Medical College at Houston Methodist Hospital, Houston, Texas, USA
| | - Cecilia Low Wang
- Department of Medicine, Division of Diabetes, Endocrinology, and Metabolism, University of Colorado Anschutz Medical Campus School of Medicine, Aurora, Colorado, USA
| | - Ahmad Al Maradni
- Department of Internal Medicine, Division of Diabetes, Endocrinology, and Metabolism, Banner University Medical Center, and Carl T. Hyden VA Medical Center, Phoenix, Arizona, USA
| | - Vijay Shivaswamy
- Department of Internal Medicine, Division of Diabetes, Endocrinology, Metabolism, University of Nebraska Medical Center, Omaha, Nebraska, USA
| | - Archana R Sadhu
- Houston Methodist Academic Medicine Associates, Endocrinology, Houston, Texas, USA
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Chen J, Li T, You H, Wang J, Peng X, Chen B. Behavioral Interpretation of Willingness to Use Wearable Health Devices in Community Residents: A Cross-Sectional Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:3247. [PMID: 36833943 PMCID: PMC9960868 DOI: 10.3390/ijerph20043247] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 01/22/2023] [Accepted: 02/06/2023] [Indexed: 05/30/2023]
Abstract
Wearable health devices (WHDs) have become increasingly advantageous in long-term health monitoring and patient management. However, most people have not yet benefited from such innovative technologies, and the willingness to accept WHDs and their influencing factors are still unclear. Based on two behavioral theories: the theory of planned behavior (TPB) and the diffusion of innovation (DOI), this study aims to explore the influencing factors of willingness to use WHDs in community residents from the perspective of both internal and external factors. A convenience sample of 407 community residents were recruited from three randomly selected Community Health Service Centers (CHSCs) in Nanjing, China, and were investigated with a self-developed questionnaires. The mean score of willingness to use WHDs was 17.00 (range 5-25). In the dimensions of TPB, perceived behavioral control (β = 1.979, p < 0.001) was the strongest influencing factor. Subjective norms (β = 1.457, p < 0.001) and attitudes (β = 0.651, p = 0.016) were also positively associated with willingness. In innovation characteristics of DOI, compatibility (β = 0.889, p < 0.001) and observability (β = 0.576, p = 0.003) had positive association with the willingness to wear a WHD. This study supports the applicability of the two behavioral theories to interpret the willingness to use WHDs in Chinese community residents. Compared with the innovative features of WHDs, individual cognitive factors were more critical predictors of willingness to use.
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Affiliation(s)
- Jiaxin Chen
- School of Nursing, Nanjing Medical University, Nanjing 211166, China
| | - Ting Li
- Geriatric Hospital of Nanjing Medical University, Nanjing 210009, China
| | - Hua You
- School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Jingyu Wang
- School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Xueqing Peng
- Chengdu Center for Disease Control and Prevention, Chengdu 610041, China
| | - Baoyi Chen
- MaiGaoQiao Community Health Service Center, Nanjing 210028, China
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