H. Price, O. Agbaje, J. Price, G. Goodwin, J. Geddes, R. Holman
{"title":"一项评估远程医疗情绪监测系统对2型糖尿病患者开始注射治疗时情绪影响的概念验证研究","authors":"H. Price, O. Agbaje, J. Price, G. Goodwin, J. Geddes, R. Holman","doi":"10.35248/2155-6156.20.11.857","DOIUrl":null,"url":null,"abstract":"Background: We aimed to determine the feasibility of using an established telehealth system to monitor potential mood changes in individuals with type 2 diabetes when commencing an injectable glucose-lowering therapy. Methods: Individuals with type 2 diabetes commencing an injectable therapy as part of their routine clinical care when not achieving glycemic control on oral antidiabetic therapy, or when instituted as part of a randomized clinical trial, were asked to self monitor their mood for six months. Participants were asked to complete the Quick Inventory of Depressive Symptoms–Self Report (QIDS-SR) weekly and the Diabetes Distress Scale (DDS17) monthly. Results: Seven participants were recruited who all initiated an injectable therapy and were followed up for median 33 (27–37) weeks. Median (IQR) proportions of returned QIDS-SR and DDS17 questionnaires were 100% (86%–100%) and 100% (100%–100%) respectively, with completeness 88% (80%–100%) and 100% (100%–100%). DDS17 scores increased (worsened) during the first month after injectable therapy initiation, followed by a gradual decline in QIDS-SR scores and stabilizing DDS17 responses. Conclusion: We show that an online self-management system can be used to monitor mood remotely in type 2 diabetes population, and could provide additional metrics to help inform diabetes management.","PeriodicalId":15597,"journal":{"name":"Journal of diabetes & metabolism","volume":"3 1","pages":"1-5"},"PeriodicalIF":0.0000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Proof of Concept Study to Evaluate the Impact of an Established Telehealth Mood Monitoring System on Mood in Individuals with Type 2 Diabetes when Initiating an Injectable Therapy\",\"authors\":\"H. Price, O. Agbaje, J. Price, G. Goodwin, J. Geddes, R. Holman\",\"doi\":\"10.35248/2155-6156.20.11.857\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background: We aimed to determine the feasibility of using an established telehealth system to monitor potential mood changes in individuals with type 2 diabetes when commencing an injectable glucose-lowering therapy. Methods: Individuals with type 2 diabetes commencing an injectable therapy as part of their routine clinical care when not achieving glycemic control on oral antidiabetic therapy, or when instituted as part of a randomized clinical trial, were asked to self monitor their mood for six months. Participants were asked to complete the Quick Inventory of Depressive Symptoms–Self Report (QIDS-SR) weekly and the Diabetes Distress Scale (DDS17) monthly. Results: Seven participants were recruited who all initiated an injectable therapy and were followed up for median 33 (27–37) weeks. Median (IQR) proportions of returned QIDS-SR and DDS17 questionnaires were 100% (86%–100%) and 100% (100%–100%) respectively, with completeness 88% (80%–100%) and 100% (100%–100%). DDS17 scores increased (worsened) during the first month after injectable therapy initiation, followed by a gradual decline in QIDS-SR scores and stabilizing DDS17 responses. Conclusion: We show that an online self-management system can be used to monitor mood remotely in type 2 diabetes population, and could provide additional metrics to help inform diabetes management.\",\"PeriodicalId\":15597,\"journal\":{\"name\":\"Journal of diabetes & metabolism\",\"volume\":\"3 1\",\"pages\":\"1-5\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of diabetes & metabolism\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.35248/2155-6156.20.11.857\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of diabetes & metabolism","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.35248/2155-6156.20.11.857","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Proof of Concept Study to Evaluate the Impact of an Established Telehealth Mood Monitoring System on Mood in Individuals with Type 2 Diabetes when Initiating an Injectable Therapy
Background: We aimed to determine the feasibility of using an established telehealth system to monitor potential mood changes in individuals with type 2 diabetes when commencing an injectable glucose-lowering therapy. Methods: Individuals with type 2 diabetes commencing an injectable therapy as part of their routine clinical care when not achieving glycemic control on oral antidiabetic therapy, or when instituted as part of a randomized clinical trial, were asked to self monitor their mood for six months. Participants were asked to complete the Quick Inventory of Depressive Symptoms–Self Report (QIDS-SR) weekly and the Diabetes Distress Scale (DDS17) monthly. Results: Seven participants were recruited who all initiated an injectable therapy and were followed up for median 33 (27–37) weeks. Median (IQR) proportions of returned QIDS-SR and DDS17 questionnaires were 100% (86%–100%) and 100% (100%–100%) respectively, with completeness 88% (80%–100%) and 100% (100%–100%). DDS17 scores increased (worsened) during the first month after injectable therapy initiation, followed by a gradual decline in QIDS-SR scores and stabilizing DDS17 responses. Conclusion: We show that an online self-management system can be used to monitor mood remotely in type 2 diabetes population, and could provide additional metrics to help inform diabetes management.