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EVIDENCE BASED SUMMARY
Year : 2019  |  Volume : 8  |  Issue : 12  |  Page : 3773-3778

A qualitative study of facilitators and barriers to cardiovascular risk factor control in a semiurban population in India


1 Department of Medicine, University Hospitals Cleveland Medical Center, Cleveland, OH, USA
2 Harrington Heart and Vascular Institute, University Hospitals Cleveland Medical Center, Case Western Reserve University, Cleveland, OH; Department of Cardiovascular Medicine, Case Western Reserve University School of Medicine, Cleveland, OH 44122, USA
3 Department of Pharmacology, Seth G S Medical College, Mumbai, Maharashtra, India
4 Department of Medicine, University of Tennessee Health Science Center, Memphis, TN, USA
5 Frances Payne Bolton School of Nursing, Case Western Reserve University, Cleveland, OH 44122, USA

Correspondence Address:
Dr. Priyanka Satish
Department of Medicine, University Hospitals Cleveland Medical Center, 11100 Euclid Avenue, Cleveland - 44106
USA
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/jfmpc.jfmpc_492_19

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Cardiovascular (CV) risk factors like diabetes and hypertension are poorly controlled in both rural and urban India. This study was designed to identify the reasons for suboptimal control in a semiurban population in India. A total of 70 participants from the Study to Expand Heart Associated Treatments (SEHAT) trial, conducted in West Bengal, India. We qualitatively examined perspectives regarding CV risk factor control using focus group discussions based on the theory of reasoned action. Qualitative content analysis was used to analyze prevailing themes. Participants demonstrated a generalized knowledge of healthy lifestyle practices but lacked insight into disease-specific prevention methods. We further noticed significant gaps in the translation of existing knowledge into behavior. While personal and systemic barriers exist, factors like high patient motivation and a deep sense of trust in providers can potentially be harnessed to improve risk factor control in the community. We identified key facilitators and barriers to CV risk factor control in the community using a knowledge attitude behavior approach. Our findings provide direction for the development of community-based CV risk reduction models.


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