Vulnerability toward the development of diabetes mellitus type 2 among adults from a rural community of West Bengal, India

PurposeIndia has over half a million diabetics, with many others at risk. The Indian Diabetes Risk Score (IDRS) is a simple and validated tool used for mass screening of diabetes mellitus type 2 at the community level. This study assessed the vulnerability of developing diabetes in adults of a rural community of West Bengal using the IDRS and finds out the relationship of the risk of developing diabetes with socioclinical variables.Design/methodology/approachMulti-stage sampling was employed to select one eligible nondiabetic adult from selected families residing in the rural field practice area of a medical college in West Bengal. They were interviewed with a predesigned and pretested data collection schedule and examined.FindingsAmong 197 participants, 83.8% were female, 51.8% were illiterate and 57.4% came from Class IV of Prasad's socioeconomic scale. Of participants, 22.8% had existing known morbidities, and 23.9% had some form of substance addiction. In total, 46.8% of the participants on whom the IDRS could be applied (n = 175) were at high risk of developing diabetes (Score = 60). Gender and existing comorbidities significantly predicted a high risk of diabetes.Originality/valueA large proportion of the Indian population yet to be diagnosed with diabetes are at a high risk of having the disease. Early detection of the disease can help curtail its complications and reduce its clinical, social and economic burden. Mass screening tools like the IDRS thus become a very important tool in India's attempts to fight diabetes.

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Development of an expert system for pre-diagnosis of hypertension, diabetes mellitus type 2 and metabolic syndrome

Health Informatics Journal ◽

10.1177/1460458220937095 ◽

2020 ◽

Vol 26 (4) ◽

pp. 2776-2791

Author(s):

Claudio Urrea ◽

Alexis Mignogna

Keyword(s):

Diabetes Mellitus ◽

Metabolic Syndrome ◽

Expert System ◽

High Risk ◽

Web Application ◽

Diabetes Mellitus Type 2 ◽

Diabetes Mellitus Type ◽

World Health ◽

Diagnosis Of Hypertension

This study involved the development of an expert system for the pre-diagnosis of hypertension, diabetes mellitus type 2 and metabolic syndrome. The expert system has been developed using web technologies, PHP, Apache and MySQL with CLIPS tool; the expert system includes three algorithms designed by the authors, one for each disease. The objective of this study is to provide an expert system capable of performing a pre-diagnosis for early detection of hypertension, diabetes mellitus type 2 and metabolic syndrome. The methodology to build the system consists in associated risk factors, clinical variables diagnosis criteria based on World Health Organization standards in three algorithms and then develop a program that interacts with users, besides the expert system is compared with the existing expert systems in order to show its originality and innovation. The rules of systems are designed using CLIPS systems and the Architecture Apache, MySQL and PHP for the user interface and database. The system was validated by 72 patient(s) and 3 real doctors, the total result over 72 patient(s) is low risk 16.6 percent, moderate risk 30.5 percent, moderate high risk 13.8 percent, high risk 23.6 percent, very high risk 15.2 percent, and the doctors’ feedback was similar to that shown by the system. The number of rules to create the algorithms and the criteria used were adequate and sufficient to obtain the pre-diagnosis of each disease; in addition, the languages used to design and create the web application were stable. All users who used the system obtained similar results to those obtained by doctors.

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