Community Control of Hypertension and Diabetes (CoCo-HD) program in the Indian states of Kerala and Tamil Nadu: a study protocol for a type 3 hybrid trial.

INTRODUCTION: India grapples with a formidable health challenge, with an estimated 315 million adults afflicted with hypertension and 100 million living with diabetes mellitus. Alarming statistics reveal rates for poor treatment and control of hypertension and diabetes. In response to these pressing needs, the Community Control of Hypertension and Diabetes (CoCo-HD) program aims to implement structured lifestyle interventions at scale in the southern Indian states of Kerala and Tamil Nadu. AIMS: This research is designed to evaluate the implementation outcomes of peer support programs and community mobilisation strategies in overcoming barriers and maximising enablers for effective diabetes and hypertension prevention and control. Furthermore, it will identify contextual factors that influence intervention scalability and it will also evaluate the program's value and return on investment through economic evaluation. METHODS: The CoCo-HD program is underpinned by a longstanding collaborative effort, engaging stakeholders to co-design comprehensive solutions that will be scalable in the two states. This entails equipping community health workers with tailored training and fostering community engagement, with a primary focus on leveraging peer supportat scale in these communities. The evaluation will undertake a hybrid type III trial in, Kerala and Tamil Nadu states, guided by the Institute for Health Improvement framework. The evaluation framework is underpinned by the application of three frameworks, RE-AIM, Normalisation Process Theory, and the Consolidated Framework for Implementation Research. Evaluation metrics include clinical outcomes: diabetes and hypertension control rates, as well as behavioural, physical, and biochemical measurements and treatment adherence. DISCUSSION: The anticipated outcomes of this study hold immense promise, offering important learnings into effective scaling up of lifestyle interventions for hypertension and diabetes control in low- and middle-income countries (LMICs). By identifying effective implementation strategies and contextual determinants, this research has the potential to lead to important changes in healthcare delivery systems. CONCLUSIONS: The project will provide valuable evidence for the scaling-up of structured lifestyle interventions within the healthcare systems of Kerala and Tamil Nadu, thus facilitating their future adaptation to diverse settings in India and other LMICs.

Clustering of health behaviors and their associations with cardiometabolic risk factors among adults at high risk for type 2 diabetes in India: A latent class analysis.

BACKGROUND: We aimed to identify clusters of health behaviors and study their associations with cardiometabolic risk factors in adults at high risk for type 2 diabetes in India. METHODS: Baseline data from the Kerala Diabetes Prevention Program (n = 1000; age 30-60 years) were used for this study. Information on physical activity (PA), sedentary behavior, fruit and vegetable intake, sleep, and alcohol and tobacco use was collected using questionnaires. Blood pressure, waist circumference, 2-h plasma glucose, high-density lipoprotein and low-density lipoprotein cholesterol, and triglycerides were measured using standardized protocols. Latent class analysis was used to identify clusters of health behaviors, and multilevel mixed-effects linear regression was employed to examine their associations with cardiometabolic risk factors. RESULTS: Two classes were identified, with 87.4% of participants in class 1 and 12.6% in class 2. Participants in both classes had a high probability of not engaging in leisure-time PA (0.80 for class 1; 0.73 for class 2) and consuming <5 servings of fruit and vegetables per day (0.70 for class 1; 0.63 for class 2). However, participants in class 1 had a lower probability of sitting for >=3 h per day (0.26 vs 0.42), tobacco use (0.10 vs 0.75), and alcohol use (0.08 vs 1.00) compared to those in class 2. Class 1 had a significantly lower mean systolic blood pressure (ß = -3.70 mm Hg, 95% confidence interval [CI] -7.05, -0.36), diastolic blood pressure (ß = -2.45 mm Hg, 95% CI -4.74, -0.16), and triglycerides (ß = -0.81 mg/dL, 95% CI -0.75, -0.89). CONCLUSION: Implementing intervention strategies, tailored to cluster-specific health behaviors, is required for the effective prevention of cardiometabolic disorders among high-risk adults for type 2 diabetes.

Diabetes Health Literacy, Drug Adherence and Factors Associated with Them among Urban Patients in Kerala, India.

Aims: The study aimed to assess diabetes health literacy, adherence to diabetes medication, and its associated factors in Kerala, India, the most advanced Indian state in epidemiological transition with the highest literacy level in India. Materials and methods: We conducted a community-based cross-sectional study among 280 diabetes patients (mean age 62 years, male 42%) selected by multistage cluster sampling. Information on sociodemographic variables was collected using a pretested structured interview schedule. Diabetes health literacy was assessed using the revised Michigan Diabetes Knowledge test. Adherence to diabetes medication was assessed using the Hill-Bone subscale. Binary logistic regression analysis was done to find out the factors associated with diabetes health literacy and medication adherence. Results: Good diabetes health literacy was reported by 35.7% [95% confidence interval (CI): 30.1-41.6] of the patients. Perfect adherence to diabetes medication was reported by 33.2% of patients (CI: 27.7-39.1). Patients who reported regular newspaper reading [adjusted odds ratio (AOR) 3.16; CI: 1.57-6.30], using the internet (AOR 2.23; CI: 1.11-4.50) and insulin use (AOR 2.60; CI: 1.35-5.00) were more likely to report good diabetes health literacy compared to their counterparts. Patients who reported reading health magazines (AOR 2.75; CI: 1.01-7.60) were more likely to report perfect medication adherence compared to those who did not. Conclusion: Why diabetes health literacy and medication adherence were low among diabetes patients in the most literate state needs further investigation. Interventions to enhance diabetes health literacy and medication adherence may be undertaken among diabetes patients encouraging them to read newspapers and health magazines regularly and use the internet.