A cluster-randomized controlled trial to evaluate the effects of a simplified cardiovascular management program in Tibet, China and Haryana, India: study design and rationaleReportar como inadecuado

A cluster-randomized controlled trial to evaluate the effects of a simplified cardiovascular management program in Tibet, China and Haryana, India: study design and rationale - Descarga este documento en PDF. Documentación en PDF para descargar gratis. Disponible también para leer online.

Journal Title:

BMC Public Health


Volume 14, Number 1


BioMed Central | 2014-09-06, Pages 924-924

Type of Work:

Article | Final Publisher PDF

Abstract: Methods-design. This yearlong cluster-randomized controlled trial will be conducted in 20 villages in Tibet and 20 villages in Haryana. Randomization of villages to usual care or intervention will be stratified by country. High cardiovascular disease risk individuals aged 40 years or older, history of heart disease, stroke, diabetes, or measured systolic blood pressure of 160 mmHg or higher will be screened at baseline. Community health workers in the intervention villages will be trained to manage and follow up high-risk patients on a monthly basis following a simplified '2 + 2' intervention model involving two lifestyle recommendations and the appropriate prescription of two medications. A customized electronic decision support system based on the intervention strategy will be developed to assist the community health workers with patient management. Baseline and follow-up surveys will be conducted in a standardized fashion in all villages. The primary outcome will be the net difference between-group in the proportion of high-risk patients taking antihypertensive medication pre- and post-intervention. Secondary outcomes will include the proportion of patients taking aspirin and changes in blood pressure. Process and economic evaluations will also be conducted.Discussion. To our knowledge, this will be the first study to evaluate the effect of a simplified management program delivered by community health workers with the help of electronic decision support system on improving the health of high cardiovascular disease risk patients. If effective, this intervention strategy can serve as a model that can be implemented, where applicable, in rural China, India, and other resource-constrained areas. Trial registration. The trial was registered in the clinicaltrials.gov database on 30 December, 2011 and the registration number is NCT01503814.Background: In resource-poor areas of China and India, the cardiovascular disease burden is high, but availability of and access to quality healthcare is limited. Establishing a management scheme that utilizes the local infrastructure and builds healthcare capacity is essential for cardiovascular disease prevention and management. The study aims to develop, implement, and evaluate the feasibility and effectiveness of a simplified, evidence-based cardiovascular management program delivered by community healthcare workers in resource-constrained areas in Tibet, China and Haryana, India.

Subjects: Health Sciences, Epidemiology - Health Sciences, Medicine and Surgery - Research Funding: This project has been funded in part with Federal funds from the United States National Heart, Lung, and Blood Institute, National Institutes of Health, Department of Health and Human Services, under Contract No. HHSN268200900027C.

LL Yan is also supported by the National Natural Sciences Foundation of China grants 71110107025, 71233001, NIH R01 grant R01AG023627 and UNFPA.

Keywords: Science and Technology - Life Sciences and Biomedicine - Public, Environmental and Occupational Health - Cardiovascular diseases prevention and control - Research design - Developing countries - Rural population - Community health workers - Risk reduction - Electronic decision support system - COST-EFFECTIVENESS ANALYSIS - BLOOD-PRESSURE - DISEASE PREVENTION - DEVELOPING-COUNTRIES - SODIUM REDUCTION - RISK-FACTORS - HEALTH-CARE - HYPERTENSION - GUIDELINES - INTERVENTIONS -

Autor: Vamadevan S Ajay, Maoyi Tian, Hao Chen, Yangfeng Wu, Xian Li, Danzeng Dunzhu, Mohammed Ali, Nikhil Tandon, Anand Krishnan, Dorair

Fuente: https://open.library.emory.edu/


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