BACKGROUND: Developing countries are experiencing increasing levels of cardiovascular disease (CVD). Although there is a good understanding of how to deliver CVD prevention programs in developed countries, there are few data regarding strategies for CVD prevention in resource-poor settings. This study aimed to implement and evaluate a CVD prevention program in a rural area of India. METHODS: The 2 strategies of CVD prevention to be investigated are an algorithm-based care approach and a health-promotion campaign. A factorial, cluster-randomized trial design will be used to evaluate these, in which villages will be exposed to one, both, or neither of the interventions for a period of about 12 months. Surveys of households in every village will be used to assess outcomes in all high-risk individuals and a sample of the general adult population. RESULTS: The primary outcome of the algorithm-based component of this study will be the percentage of high-risk individuals that have been "identified"-defined as having received a cardiovascular-risk assessment in the last 12 months. The primary outcome for the health-promotion component will be the percentage of the adult population with correct knowledge about the effects of 6 behavioral determinants of cardiovascular risk (green-leafy vegetables, fruits, oily foods, salt, smoking, physical activity). Secondary outcomes include a range of measures defining uptake of different preventive strategies. CONCLUSIONS: This study will provide evidence about the effectiveness of a simple practical mechanism of CVD preventive care specifically designed for delivery in a resource-poor area in India.
RCT Entities:
BACKGROUND: Developing countries are experiencing increasing levels of cardiovascular disease (CVD). Although there is a good understanding of how to deliver CVD prevention programs in developed countries, there are few data regarding strategies for CVD prevention in resource-poor settings. This study aimed to implement and evaluate a CVD prevention program in a rural area of India. METHODS: The 2 strategies of CVD prevention to be investigated are an algorithm-based care approach and a health-promotion campaign. A factorial, cluster-randomized trial design will be used to evaluate these, in which villages will be exposed to one, both, or neither of the interventions for a period of about 12 months. Surveys of households in every village will be used to assess outcomes in all high-risk individuals and a sample of the general adult population. RESULTS: The primary outcome of the algorithm-based component of this study will be the percentage of high-risk individuals that have been "identified"-defined as having received a cardiovascular-risk assessment in the last 12 months. The primary outcome for the health-promotion component will be the percentage of the adult population with correct knowledge about the effects of 6 behavioral determinants of cardiovascular risk (green-leafy vegetables, fruits, oily foods, salt, smoking, physical activity). Secondary outcomes include a range of measures defining uptake of different preventive strategies. CONCLUSIONS: This study will provide evidence about the effectiveness of a simple practical mechanism of CVD preventive care specifically designed for delivery in a resource-poor area in India.
Authors: Kunal N Karmali; Stephen D Persell; Pablo Perel; Donald M Lloyd-Jones; Mark A Berendsen; Mark D Huffman Journal: Cochrane Database Syst Rev Date: 2017-03-14
Authors: Bernadeta Bridgwood; Kate E Lager; Amit K Mistri; Kamlesh Khunti; Andrew D Wilson; Priya Modi Journal: Cochrane Database Syst Rev Date: 2018-05-07
Authors: Vamadevan S Ajay; Maoyi Tian; Hao Chen; Yangfeng Wu; Xian Li; Danzeng Dunzhu; Mohammed K Ali; Nikhil Tandon; Anand Krishnan; Dorairaj Prabhakaran; Lijing L Yan Journal: BMC Public Health Date: 2014-09-06 Impact factor: 3.295