Browsing by Author "Tsolekile, Lungiswa P."
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Item The roles, training and knowledge of community health workers about diabetes and hypertension in Khayelitsha, Cape Town(AOSIS, 2018) Tsolekile, Lungiswa P.; Schneider, Helen; Puoane, ThandiBACKGROUND: The current roles and capacity of community health workers (CHWs) in the management and control of non-communicable diseases (NCDs) remain poorly understood. Objectives: To assess CHWs’ current roles, training and knowledge about diabetes and hypertension in Khayelitsha, Cape Town. METHODS: A cross-sectional study of 150 CHWs from two non-governmental organisations contracted to provide NCD care as part of a comprehensive package of services was conducted. An interviewer-administered closed-ended questionnaire was used to determine the roles, training, in-service support, knowledge and presence of NCDs. Descriptive analyses of these domains and multivariate analyses of the factors associated with CHWs’ knowledge of hypertension and diabetes were conducted. RESULTS: The vast majority (96%) of CHWs were female, with a mean age of 35 years; 88% had some secondary schooling and 53% had been employed as CHWs for 4 years or more. Nearly half (47%) reported having an NCD. CHWs’ roles in NCDs included the delivery of medication, providing advice and physical assessment. Only 52% of CHWs reported some formal NCD-related training, while less than half of the trained CHWs (n = 35; 44%) had received follow-up refresher training. CHWs’ knowledge of diabetes and hypertension was poor. In the multivariate analyses, higher knowledge scores were associated with having an NCD and frequency of supervisory contact (≥1 per month). CONCLUSIONS: The roles performed by CHWs are broad, varied and essential for diabetes and hypertension management. However, basic knowledge about diabetes and hypertension remains poor while training is unstandardised and haphazard. These need to be improved if community-based NCD management is to be successful. The potential of peer education as a complementary mechanism to formal training needs as well as support and supervision in the workplace requires further exploration.Item Wealth and cardiovascular health: A cross-sectional study of wealth-related inequalities in the awareness, treatment and control of hypertension in high-, middle- and low-income countries(BMC, 2016) Palafox, Benjamin; McKee, Martin; Tsolekile, Lungiswa P.: Effective policies to control hypertension require an understanding of its distribution in the population and the barriers people face along the pathway from detection through to treatment and control. One key factor is household wealth, which may enable or limit a household’s ability to access health care services and adequately control such a chronic condition. This study aims to describe the scale and patterns of wealth-related inequalities in the awareness, treatment and control of hypertension in 21 countries using baseline data from the Prospective Urban and Rural Epidemiology study.A cross-section of 163,397 adults aged 35 to 70 years were recruited from 661 urban and rural communities in selected low-, middle- and high-income countries (complete data for this analysis from 151,619 participants). Using blood pressure measurements, self-reported health and household data, concentration indices adjusted for age, sex and urban-rural location, we estimate the magnitude of wealth-related inequalities in the levels of hypertension awareness, treatment, and control in each of the 21 country samples.Item Wealth and cardiovascular health: a cross-sectional study of wealth-related inequalities in the awareness, treatment and control of hypertension in high-, middle- and low-income countries(BMC, 2016) Palafox, Benjamin; McKee, Martin; Balabanova, Dina; AlHabib, Khalid F.; Avezum, Alvaro Jr.; Bahonar, Ahmad; Tsolekile, Lungiswa P.BACKGROUND: Effective policies to control hypertension require an understanding of its distribution in the population and the barriers people face along the pathway from detection through to treatment and control. One key factor is household wealth, which may enable or limit a household’s ability to access health care services and adequately control such a chronic condition. This study aims to describe the scale and patterns of wealth-related inequalities in the awareness, treatment and control of hypertension in 21 countries using baseline data from the Prospective Urban and Rural Epidemiology study. METHODS: A cross-section of 163,397 adults aged 35 to 70 years were recruited from 661 urban and rural communities in selected low-, middle- and high-income countries (complete data for this analysis from 151,619 participants). Using blood pressure measurements, self-reported health and household data, concentration indices adjusted for age, sex and urban-rural location, we estimate the magnitude of wealth-related inequalities in the levels of hypertension awareness, treatment, and control in each of the 21 country samples. RESULTS: Overall, the magnitude of wealth-related inequalities in hypertension awareness, treatment, and control was observed to be higher in poorer than in richer countries. In poorer countries, levels of hypertension awareness and treatment tended to be higher among wealthier households; while a similar pro-rich distribution was observed for hypertension control in countries at all levels of economic development. In some countries, hypertension awareness was greater among the poor (Sweden, Argentina, Poland), as was treatment (Sweden, Poland) and control (Sweden). CONCLUSION: Inequality in hypertension management outcomes decreased as countries became richer, but the considerable variation in patterns of wealth-related inequality - even among countries at similar levels of economic development - underscores the importance of health systems in improving hypertension management for all. These findings show that some, but not all, countries, including those with limited resources, have been able to achieve more equitable management of hypertension; and strategies must be tailored to national contexts to achieve optimal impact at population level.