JMIR research protocols · 2025
Enhancement of Self-Management of Metabolic Syndrome Among Adults in Urban, Low-Income Settings of India Using Digital Health Interventions: Protocol for a Mixed Methods Study.
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Joshi Ashish, Grover Ashoo, Agrawal Usha, Kaur Harpreet, Malhotra Bhavya, Agrawal Sandeep
Аннотация
BACKGROUND: Metabolic syndrome (MetS) is a growing concern among adult populations in India, particularly among those living in urban, low-income settings. This group is challenged by a combination of risk factors, including an urbanized lifestyle, poor access to health care, and financial limitations, leading to high levels of obesity, diabetes, and hypertension.
OBJECTIVE: This study aims to address this challenge by designing, developing, and piloting a tailored, mobile-enabled, interactive, digital health intervention to enhance self-management of MetS among individuals living in urban, low-income settings in New Delhi, India.
METHODS: The study uses mixed methods, including both quantitative and qualitative data collection, to design and evaluate the effectiveness of the intervention built on a multifactorial model in improving the self-management of MetS. Data will be collected at baseline and 12 months from adults living in urban, low-income settings in New Delhi. The results will contribute to our understanding of the interplay of risk factors in MetS and the impact of tailored digital health interventions in addressing this challenge. The findings will be disseminated to both national and international audiences through peer-reviewed publications.
RESULTS: This study was funded in March 2022 for 3 years. The project started in April 2022. Data collection began in June 2022. The results are expected to be published in 2025.
CONCLUSIONS: The study is expected to provide valuable insights into the role of digital health interventions in enhancing the self-management of MetS among urban, low-income populations.
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/40144.
OBJECTIVE: This study aims to address this challenge by designing, developing, and piloting a tailored, mobile-enabled, interactive, digital health intervention to enhance self-management of MetS among individuals living in urban, low-income settings in New Delhi, India.
METHODS: The study uses mixed methods, including both quantitative and qualitative data collection, to design and evaluate the effectiveness of the intervention built on a multifactorial model in improving the self-management of MetS. Data will be collected at baseline and 12 months from adults living in urban, low-income settings in New Delhi. The results will contribute to our understanding of the interplay of risk factors in MetS and the impact of tailored digital health interventions in addressing this challenge. The findings will be disseminated to both national and international audiences through peer-reviewed publications.
RESULTS: This study was funded in March 2022 for 3 years. The project started in April 2022. Data collection began in June 2022. The results are expected to be published in 2025.
CONCLUSIONS: The study is expected to provide valuable insights into the role of digital health interventions in enhancing the self-management of MetS among urban, low-income populations.
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/40144.