{"title":"在 COVID-19 大流行期间以社区为基础控制糖尿病的数字健康解决方案:实施成果的范围审查。","authors":"Tilahun Haregu, Peter Delobelle, Ayuba Issaka, Abha Shrestha, Jeemon Panniyammakal, Kavumpurathu Raman Thankappan, Ganeshkumar Parasuraman, Darcelle Schouw, Archana Ramalingam, Yingting Cao, Naomi Levitt, Brian Oldenburg","doi":"10.1177/19322968231167853","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The COVID-19 pandemic has added to the pre-existing challenges of diabetes management in many countries. It has accelerated the wider use of digital health solutions which have tremendous potential to improve health outcomes for people with diabetes. However, little is known about the attributes and the implementation of these solutions.</p><p><strong>Objective: </strong>To identify and describe digital health solutions for community-based diabetes management and to highlight their key implementation outcomes.</p><p><strong>Methods: </strong>We searched Ovid Medline, CINAHL, Embase, PsycINFO, and Web of Science for relevant articles. A purposive search was also used to identify grey literature. Articles that described digital health solutions that aimed to improve community-based diabetes management were included in this review. We applied a thematic synthesis of evidence to describe the characteristics of digital health solutions, and to summarize their key implementation outcomes.</p><p><strong>Results: </strong>We included 15 articles that reported digital health solutions that primarily focused on community-based diabetes management. Nine of the 15 innovations involved were mobile applications and/or web-based platforms, and five were based on social media platforms. The majority of the digital health solutions were used for diabetes education and support. High engagement, utilization, and satisfaction rates with digital health solutions were observed. The use of digital health solutions was also associated with improvement in self-management, taking medication, and reduction in glycated hemoglobin (HbA1c) levels.</p><p><strong>Conclusion: </strong>COVID-19 triggered digital health solutions have tremendous potential to improve health outcomes for people with diabetes. Further studies are needed to evaluate the sustainability and scale-up of these solutions.</p>","PeriodicalId":15475,"journal":{"name":"Journal of Diabetes Science and Technology","volume":" ","pages":"1480-1488"},"PeriodicalIF":4.1000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10102819/pdf/10.1177_19322968231167853.pdf","citationCount":"0","resultStr":"{\"title\":\"Digital Health Solutions for Community-Based Control of Diabetes During COVID-19 Pandemic: A Scoping Review of Implementation Outcomes.\",\"authors\":\"Tilahun Haregu, Peter Delobelle, Ayuba Issaka, Abha Shrestha, Jeemon Panniyammakal, Kavumpurathu Raman Thankappan, Ganeshkumar Parasuraman, Darcelle Schouw, Archana Ramalingam, Yingting Cao, Naomi Levitt, Brian Oldenburg\",\"doi\":\"10.1177/19322968231167853\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>The COVID-19 pandemic has added to the pre-existing challenges of diabetes management in many countries. It has accelerated the wider use of digital health solutions which have tremendous potential to improve health outcomes for people with diabetes. However, little is known about the attributes and the implementation of these solutions.</p><p><strong>Objective: </strong>To identify and describe digital health solutions for community-based diabetes management and to highlight their key implementation outcomes.</p><p><strong>Methods: </strong>We searched Ovid Medline, CINAHL, Embase, PsycINFO, and Web of Science for relevant articles. A purposive search was also used to identify grey literature. Articles that described digital health solutions that aimed to improve community-based diabetes management were included in this review. We applied a thematic synthesis of evidence to describe the characteristics of digital health solutions, and to summarize their key implementation outcomes.</p><p><strong>Results: </strong>We included 15 articles that reported digital health solutions that primarily focused on community-based diabetes management. Nine of the 15 innovations involved were mobile applications and/or web-based platforms, and five were based on social media platforms. The majority of the digital health solutions were used for diabetes education and support. High engagement, utilization, and satisfaction rates with digital health solutions were observed. The use of digital health solutions was also associated with improvement in self-management, taking medication, and reduction in glycated hemoglobin (HbA1c) levels.</p><p><strong>Conclusion: </strong>COVID-19 triggered digital health solutions have tremendous potential to improve health outcomes for people with diabetes. 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引用次数: 0
摘要
背景:COVID-19 大流行加剧了许多国家在糖尿病管理方面原有的挑战。它加速了数字医疗解决方案的广泛应用,而数字医疗解决方案在改善糖尿病患者的健康状况方面具有巨大潜力。然而,人们对这些解决方案的属性和实施情况知之甚少:确定并描述用于社区糖尿病管理的数字医疗解决方案,并强调其主要实施成果:我们检索了 Ovid Medline、CINAHL、Embase、PsycINFO 和 Web of Science 中的相关文章。此外,我们还采用了目的性检索来识别灰色文献。本综述纳入了介绍旨在改善社区糖尿病管理的数字健康解决方案的文章。我们对证据进行了专题综合,以描述数字健康解决方案的特点,并总结其主要实施成果:我们收录了 15 篇报道数字健康解决方案的文章,这些解决方案主要侧重于社区糖尿病管理。这 15 项创新中有 9 项涉及移动应用和/或基于网络的平台,5 项基于社交媒体平台。大多数数字健康解决方案用于糖尿病教育和支持。据观察,数字健康解决方案的参与率、使用率和满意度都很高。数字健康解决方案的使用还与自我管理的改善、服药和糖化血红蛋白(HbA1c)水平的降低有关:COVID-19触发的数字健康解决方案在改善糖尿病患者的健康状况方面具有巨大潜力。需要开展进一步研究,以评估这些解决方案的可持续性和扩展性。
Digital Health Solutions for Community-Based Control of Diabetes During COVID-19 Pandemic: A Scoping Review of Implementation Outcomes.
Background: The COVID-19 pandemic has added to the pre-existing challenges of diabetes management in many countries. It has accelerated the wider use of digital health solutions which have tremendous potential to improve health outcomes for people with diabetes. However, little is known about the attributes and the implementation of these solutions.
Objective: To identify and describe digital health solutions for community-based diabetes management and to highlight their key implementation outcomes.
Methods: We searched Ovid Medline, CINAHL, Embase, PsycINFO, and Web of Science for relevant articles. A purposive search was also used to identify grey literature. Articles that described digital health solutions that aimed to improve community-based diabetes management were included in this review. We applied a thematic synthesis of evidence to describe the characteristics of digital health solutions, and to summarize their key implementation outcomes.
Results: We included 15 articles that reported digital health solutions that primarily focused on community-based diabetes management. Nine of the 15 innovations involved were mobile applications and/or web-based platforms, and five were based on social media platforms. The majority of the digital health solutions were used for diabetes education and support. High engagement, utilization, and satisfaction rates with digital health solutions were observed. The use of digital health solutions was also associated with improvement in self-management, taking medication, and reduction in glycated hemoglobin (HbA1c) levels.
Conclusion: COVID-19 triggered digital health solutions have tremendous potential to improve health outcomes for people with diabetes. Further studies are needed to evaluate the sustainability and scale-up of these solutions.
期刊介绍:
The Journal of Diabetes Science and Technology (JDST) is a bi-monthly, peer-reviewed scientific journal published by the Diabetes Technology Society. JDST covers scientific and clinical aspects of diabetes technology including glucose monitoring, insulin and metabolic peptide delivery, the artificial pancreas, digital health, precision medicine, social media, cybersecurity, software for modeling, physiologic monitoring, technology for managing obesity, and diagnostic tests of glycation. The journal also covers the development and use of mobile applications and wireless communication, as well as bioengineered tools such as MEMS, new biomaterials, and nanotechnology to develop new sensors. Articles in JDST cover both basic research and clinical applications of technologies being developed to help people with diabetes.