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1.
Article | IMSEAR | ID: sea-201381

ABSTRACT

Background: Diabetes forms huge burden of non-communicable diseases that is affecting health care systems in India. India has large number undiagnosed and undetected cases. mHealth initiatives are cost effective, quick and less resource intensive technology assisted initiatives which help to strengthen the health system. High mobile penetration and availability of cheap and high-speed data network across India has been conducive to implement mHealth initiatives in Indian health system. We present our experience in using mHealth initiative to improve the diabetes screening and diagnosis in rural Indian settings.Methods: The study is a descriptive analysis of all the tasks undertaken as part of “Disease free Village” Initiative of our organization. The study data is operational data from our organizational health information management systems. The study is divided into three phase. Phase 1, was dedicated to enrolling entire village population using android smartphone and ODK collect application; phase 2 used clinical decision support system for screening of high risk individuals and phase 3 used traditional door to door campaign to motivating the high risk individuals to get their fast and post prandial blood glucose levels checked at health care facility.Results: Phase 1 was to set a baseline, with 3624 base population, 2651 was target adult population. Rapid screening in phase 2, screened 2204 (83.14%). Out of 2204 screened cases 1307 were high risk cases. 1307 high risk cases were followed in Phase 3, and blood glucose screening was carried out 1156 (88.44%) high and moderate risk individuals out of 1307 (100%).Conclusions: We concluded that the mHealth initiatives for screening and diagnosis of diabetes in rural India, combined with traditional techniques could help to improve screening and diagnosis rate and help to reduce the hidden burden of disease.

2.
Article | IMSEAR | ID: sea-201078

ABSTRACT

Background: Objective of this study was to assess the prevalence of self-reported and undiagnosed diabetes and prediabetes cases in rural south Indian population.Methods: The study was carried as secondary analysis of the data collected in our Health management information system (HMIS) as a part of our health systems initiative in Alakkudi gram panchayat, Thanjavur district, Tamil Nadu, India. We analysed the fasting glucose and post prandial glucose values of 1307 individuals form our database to assess the prevalence of undiagnosed diabetes and prediabetes as per the cut off recommended by Indian Council of Medical Research 2018 diabetes diagnostic criteria. We also presented the descriptive analysis of demographic features, risk behaviour, anthropometric data along with personal and family history of all the individuals analysed in this study. The secondary data retrieved from the HMIS system was free of any personal identifiers.Results: The self-reported prevalence of diabetes among adults in the village was 6.88% (90 out of 1307). The prevalence of undiagnosed diabetes among adults of Alakkudi village was 12.85% (168 out of 1307) and the prevalence of undiagnosed prediabetes among adults of Alakkudi village was 8.03% (105 out of 1307). Proportion of undiagnosed cases of diabetes in the village was 53%.Conclusions: The proportion of undiagnosed cases of diabetes is quite high in rural India and the proportion of prediabetes is also higher. It is the need of the hour to create awareness regarding diabetes and prediabetes amongst the rural India population and increasing health systems efforts for regular community-based screening among the rural Indians.

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