Deepak Anil, D Sunil Kumar, S Rajendra Prasad, Arun Gopi, Hari Prakash, Deepika Yadav, M R Narayana Murthy
{"title":"糖尿病护理：改善 2 型糖尿病患者健康状况的在线网络工具：纵向研究。","authors":"Deepak Anil, D Sunil Kumar, S Rajendra Prasad, Arun Gopi, Hari Prakash, Deepika Yadav, M R Narayana Murthy","doi":"10.4103/ijpvm.ijpvm_121_23","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Diabetes is a chronic medical condition with severe complications, mainly caused by unhealthy lifestyles in genetically susceptible individuals. There has been a growing interest in the role of mobile health technologies in achieving better self-efficacy in managing diabetes. This study attempts to assess the impact of a web-based model on improving the diabetes status among Type 2 diabetic patients attending a tertiary care hospital in southern India.</p><p><strong>Methods: </strong>A longitudinal study was conducted among patients with type 2 diabetes attending the outpatient department of a tertiary care hospital in Mysuru, southern India, for 6 months. Diabetes Care (https://www.diabetes-care.co.in/), which is an online website that can be used as a risk prediction tool for uncontrolled diabetes and recommends lifestyle changes, was used by 456 diabetes patients for 6 months. We assessed the change in glycosylated haemoglobin levels at the beginning and after 6 months of using the software.</p><p><strong>Results: </strong>The mean HbA1c value at the start of the study was 8.039% ± 1.981. The HbA1c value assessed after 6 months post-intervention showed an improvement of 7.794% ± 1.853 with a mean difference of 0.245. A paired T-test showed a statistically significant association with a <i>P</i> value of 0.049.</p><p><strong>Conclusions: </strong>Evidence from this study suggests that intervention using a web-based model focusing on risk prediction and educational intervention showed an improvement in the diabetic status of the patients with T2DM.</p>","PeriodicalId":14342,"journal":{"name":"International Journal of Preventive Medicine","volume":"15 ","pages":"48"},"PeriodicalIF":1.7000,"publicationDate":"2024-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11559707/pdf/","citationCount":"0","resultStr":"{\"title\":\"Diabetes Care: An Online Web-Based Tool for Improving the Health Outcomes of Type 2 Diabetes Mellitus Patients: A Longitudinal Study.\",\"authors\":\"Deepak Anil, D Sunil Kumar, S Rajendra Prasad, Arun Gopi, Hari Prakash, Deepika Yadav, M R Narayana Murthy\",\"doi\":\"10.4103/ijpvm.ijpvm_121_23\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Diabetes is a chronic medical condition with severe complications, mainly caused by unhealthy lifestyles in genetically susceptible individuals. There has been a growing interest in the role of mobile health technologies in achieving better self-efficacy in managing diabetes. This study attempts to assess the impact of a web-based model on improving the diabetes status among Type 2 diabetic patients attending a tertiary care hospital in southern India.</p><p><strong>Methods: </strong>A longitudinal study was conducted among patients with type 2 diabetes attending the outpatient department of a tertiary care hospital in Mysuru, southern India, for 6 months. Diabetes Care (https://www.diabetes-care.co.in/), which is an online website that can be used as a risk prediction tool for uncontrolled diabetes and recommends lifestyle changes, was used by 456 diabetes patients for 6 months. We assessed the change in glycosylated haemoglobin levels at the beginning and after 6 months of using the software.</p><p><strong>Results: </strong>The mean HbA1c value at the start of the study was 8.039% ± 1.981. The HbA1c value assessed after 6 months post-intervention showed an improvement of 7.794% ± 1.853 with a mean difference of 0.245. A paired T-test showed a statistically significant association with a <i>P</i> value of 0.049.</p><p><strong>Conclusions: </strong>Evidence from this study suggests that intervention using a web-based model focusing on risk prediction and educational intervention showed an improvement in the diabetic status of the patients with T2DM.</p>\",\"PeriodicalId\":14342,\"journal\":{\"name\":\"International Journal of Preventive Medicine\",\"volume\":\"15 \",\"pages\":\"48\"},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2024-09-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11559707/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Preventive Medicine\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4103/ijpvm.ijpvm_121_23\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"MEDICINE, GENERAL & INTERNAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Preventive Medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4103/ijpvm.ijpvm_121_23","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
Diabetes Care: An Online Web-Based Tool for Improving the Health Outcomes of Type 2 Diabetes Mellitus Patients: A Longitudinal Study.
Background: Diabetes is a chronic medical condition with severe complications, mainly caused by unhealthy lifestyles in genetically susceptible individuals. There has been a growing interest in the role of mobile health technologies in achieving better self-efficacy in managing diabetes. This study attempts to assess the impact of a web-based model on improving the diabetes status among Type 2 diabetic patients attending a tertiary care hospital in southern India.
Methods: A longitudinal study was conducted among patients with type 2 diabetes attending the outpatient department of a tertiary care hospital in Mysuru, southern India, for 6 months. Diabetes Care (https://www.diabetes-care.co.in/), which is an online website that can be used as a risk prediction tool for uncontrolled diabetes and recommends lifestyle changes, was used by 456 diabetes patients for 6 months. We assessed the change in glycosylated haemoglobin levels at the beginning and after 6 months of using the software.
Results: The mean HbA1c value at the start of the study was 8.039% ± 1.981. The HbA1c value assessed after 6 months post-intervention showed an improvement of 7.794% ± 1.853 with a mean difference of 0.245. A paired T-test showed a statistically significant association with a P value of 0.049.
Conclusions: Evidence from this study suggests that intervention using a web-based model focusing on risk prediction and educational intervention showed an improvement in the diabetic status of the patients with T2DM.
期刊介绍：
International Journal of Preventive Medicine, a publication of Isfahan University of Medical Sciences, is a peer-reviewed online journal with Continuous print on demand compilation of issues published. The journal’s full text is available online at http://www.ijpvmjournal.net. The journal allows free access (Open Access) to its contents and permits authors to self-archive final accepted version of the articles on any OAI-compliant institutional / subject-based repository. The journal will cover technical and clinical studies related to health, ethical and social issues in field of Preventive Medicine. Articles with clinical interest and implications will be given preference.
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