Publications by authors named "Saju M D"

Background: Kerala is known as the diabetes mellitus (DM) and hypertension (HTN) capital of the world, thus compelling health professionals to model strategies, addressing their social, behavioural, and cognitive risk factors and eliminating various barriers to management. This paper describes the protocol of our study that aims to examine the effectiveness and sustainability of an integrated care model for the management of chronic conditions and their risk factors through a family-based intervention. The proposed care model targets to modify systems and processes that predispose to chronic conditions by enhancing social cohesion and social networks, preventing lifestyle risks, developing iterative cognitive interventions, and engaging the family into customised treatment adherence strategies navigated by community health social workers (CHSWs).

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The burden of disability on individuals and society is enormous in India, and informal care systems try to reduce this burden. This study investigated the association between neighbourhood cohesion and disability in a community-based population in Kerala, India. To the best of our knowledge, no previous studies have examined this association in India.

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Article Synopsis
  • * Hypertension prevalence was found to be 43%, with higher rates in women, and a significant percentage (78%) of participants were aware of their condition, though only 60.4% were receiving treatment.
  • * The findings indicate a greater prevalence of hypertension among individuals with other health issues and emphasize the need to enhance treatment rates for those diagnosed.
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Purpose: In response to the need for more advanced and longitudinal data concerning chronic diseases, behavioural risk factors and social support systems in India, the SWADES (Social Well-being and Determinants of Health Study) was established.

Participants: At baseline, 997 adults aged 30 years and over, living in the semi-urban area were interviewed in their home.

Findings To Date: Data collected included self-reports of demographic details, health, depression, morbid conditions and healthcare utilisation, risk factors (physical, behavioural and social) of chronic diseases, common mental disorders, out-of-pocket expenditure, social support network, social cohesion, disability, education and wealth.

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