International Journal of Preventive Medicine (Int J Prev Med)2008-780215920241120293829381 Department of Community Medicine, JSS Medical College, JSS Academy of Higher Education and Research, Mysuru, Karnataka1 Department of Community Medicine, JSS Medical College, JSS Academy of Higher Education and Research, Mysuru, Karnataka2 Department of General Medicine, JSS Medical College, JSS Academy of Higher Education and Research, Mysuru, Karnataka1 Department of Community Medicine, JSS Medical College, JSS Academy of Higher Education and Research, Mysuru, Karnataka1 Department of Community Medicine, JSS Medical College, JSS Academy of Higher Education and Research, Mysuru, Karnataka1 Department of Community Medicine, JSS Medical College, JSS Academy of Higher Education and Research, Mysuru, Karnataka1 Department of Community Medicine, JSS Medical College, JSS Academy of Higher Education and Research, Mysuru, Karnataka20241120Background: 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.diabetescare.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 webbased model focusing on risk prediction and educational intervention showed an improvement in the diabetic status of the patients with T2DM.http://ijpm.mui.ac.ir/index.php/ijpm/article/view/2938http://ijpm.mui.ac.ir/index.php/ijpm/article/download/2938/717718779