Joshi Nitin K, Arora Vikas, Purohit Anil, Lohra Abhishek, Joshi Vibha, Shih Ting, Harsh Jagdish
School of Public Health, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India.
Jodhpur School of Public Health, Jodhpur, Rajasthan, India.
J Family Med Prim Care. 2023 Aug;12(8):1571-1575. doi: 10.4103/jfmpc.jfmpc_2273_22. Epub 2023 Aug 29.
There is a paucity of demonstrated models for mHealth-based diabetes screening and coordinated care in India, especially in western Rajasthan, which is the part of Thar desert.
JSPH collaboratively developed and implemented an easy-to-use, noninvasive, mobile phone-based screening interview, to identify adults at high risk for diabetes. The high risk for diabetes was defined using multiple clinical and epidemiologic criteria, all based on the evidence for India and globally. Since participants above 35 years or older were only considered in the screening, the application was designed to categorize the participants as high and low risk.
Out of 4000 screened participants, the percentage of males and females were 51% and 50%, respectively. Participants found to be at high risk and low risk were = 3600 (90%) and 400 (10%). The mean age of high- and low-risk participants was 52.2 (+12.8) and 36.2 (+4.2), respectively. Of the 3600 high-risk individuals who have been given a follow-up interview, 90.50% of high-risk individuals obtained diabetes testing, and of these, 65.67% had a written report showing they test positive for diabetes or prediabetes, requiring ongoing clinical care.
JSPH mHealth application provided a novel noninvasive way to better identify those at high diabetes risk in the community and demonstrated how to optimize the use of mobile health methods in diabetes prevention and care services.
在印度,尤其是在塔尔沙漠地区的拉贾斯坦邦西部,缺乏基于移动医疗的糖尿病筛查和协调护理的示范模式。
约翰·斯诺公共卫生学院(JSPH)合作开发并实施了一种易于使用的、基于手机的非侵入性筛查访谈,以识别糖尿病高危成年人。糖尿病高危是根据多种临床和流行病学标准定义的,所有标准均基于印度和全球的证据。由于筛查仅考虑35岁及以上的参与者,该应用程序旨在将参与者分为高风险和低风险两类。
在4000名接受筛查的参与者中,男性和女性的比例分别为51%和50%。被发现为高风险和低风险的参与者分别为3600人(90%)和400人(10%)。高风险和低风险参与者的平均年龄分别为52.2(±12.8)岁和36.2(±4.2)岁。在3600名接受随访访谈的高风险个体中,90.50%的高风险个体进行了糖尿病检测,其中65.67%的人有书面报告显示他们糖尿病检测呈阳性或患有糖尿病前期,需要持续的临床护理。
JSPH移动医疗应用程序提供了一种新颖的非侵入性方法,以更好地识别社区中糖尿病高危人群,并展示了如何在糖尿病预防和护理服务中优化使用移动健康方法。