Browsing by Author "Bradshaw, Debbie"
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Item Obesity in South Africa: The South African Demographic and Health Survey(Nature Publishing Group, 2002) Puoane, Thandi; Steyn, Krisela; Bradshaw, Debbie; Laubscher, Ria; Fourie, Jean; Lambert, Vicki; Mbanangwa, NolwaziTo ascertain the anthropometric profile and determinants of obesity in South Africans who participated in the Demographic and Health Survey in 1998. RESEARCH METHODS AND PROCEDURES: A sample of 13,089 men and women (age, _15 years) were randomly selected and then stratified by province and urban and nonurban areas. Height, weight, mid-upper arm circumference, and waist and hip circumference were measured. Body mass index (BMI) was used as an indicator of obesity, and the waist/hip ratio (WHR) was used as an indicator of abdominal obesity. Multivariate regression identified sociodemographic predictors of BMI and waist circumference in the data. RESULTS: Mean BMI values for men and women were 22.9 kg/m2 and 27.1 kg/m2, respectively. For men, 29.2% were overweight or obese (_25 kg/m2) and 9.2% had abdominal obesity (WHR _1.0), whereas 56.6% of women were overweight or obese and 42% had abdominal obesity (WHR _0.85). Underweight (BMI _18.5 kg/m2) was found in 12.2% of men and 5.6% of women. For men, 19% of the variation of BMI and 34% of the variation in waist circumference could be explained by age, level of education, population group, and area of residence. For women, these variables explained 16% of the variation of BMI and 24% of the variation in waist circumference. Obesity increased with age, and higher levels of obesity were found in urban African women. DISCUSSION: Overnutrition is prevalent among adult South Africans, particularly women. Determinants of overnutrition include age, level of education, ethnicity, and area of residence.Item Perceptions about data-informed decisions: an assessment of information-use in high HIV-prevalence settings in South Africa(BioMed Central, 2017) Nicol, Edward; Bradshaw, Debbie; Uwimana-Nicol, Jeannine; Dudley, LilianBACKGROUND: Information-use is an integral component of a routine health information system and essential to influence policy-making, program actions and research. Despite an increased amount of routine data collected, planning and resource-allocation decisions made by health managers for managing HIV programs are often not based on data. This study investigated the use of information, and barriers to using routine data for monitoring the prevention of mother-to-child transmission of HIV (PMTCT) programs in two high HIV-prevalence districts in South Africa. METHODS: We undertook an observational study using a multi-method approach, including an inventory of facility records and reports. The performance of routine information systems management (PRISM) diagnostic ‘Use of Information’ tool was used to assess the PMTCT information system for evidence of data use in 57 health facilities in two districts. Twenty-two in-depth interviews were conducted with key informants to investigate barriers to information use in decision-making. Participants were purposively selected based on their positions and experience with either producing PMTCT data and/or using data for management purposes. We computed descriptive statistics and used a general inductive approach to analyze the qualitative data. RESULTS: Despite the availability of mechanisms and processes to facilitate information-use in about two-thirds of the facilities, evidence of information-use (i.e., indication of some form of information-use in available RHIS reports) was demonstrated in 53% of the facilities. Information was inadequately used at district and facility levels to inform decisions and planning, but was selectively used for reporting and monitoring program outputs at the provincial level. The inadequate use of information stemmed from organizational issues such as the lack of a culture of information-use, lack of trust in the data, and the inability of program and facility managers to analyze, interpret and use information. CONCLCUSIONS: Managers’ inability to use information implied that decisions for program implementation and improving service delivery were not always based on data. This lack of data use could influence the delivery of health care services negatively. Facility and program managers should be provided with opportunities for capacity development as well as practice-based, in-service training, and be supported to use information for planning, management and decision-making.Item South African child deaths 1990-2011: have HIV services reversed the trend enough to meet Millennium Development Goal 4?(Lippincott Williams & Wilkins, 2013) Kerber, Kate J.; Lawn, Joy E.; Sanders, David; Jackson, Debra; Johnson, Leigh F.; Maye, Mary; Dorrington, Rob E.; Phillips, Heston; Bradshaw, Debbie; Nannan, Nadine; Msemburi, William; Oestergaard, Mikkel Z.; Walker, Neff P.OBJECTIVE: To analyse trends in under-five mortality rate in South Africa (1990–2011), particularly the contribution of AIDS deaths. METHODS: Three nationally used models for estimating AIDS deaths in children were systematically reviewed. The model outputs were compared with under-five mortality rate estimates for South Africa from two global estimation models. All estimates were compared with available empirical data. RESULTS: Differences between the models resulted in varying point estimates for underfive mortality but the trends were similar, with mortality increasing to a peak around 2005. The three models showing the contribution of AIDS suggest a maximum of 37– 39% of child deaths were due to AIDS in 2004–2005 which has since declined. Although the rate of progress from 1990 is not the 4.4% needed to meet Millennium Development Goal 4 for child survival, South Africa’s average annual rate of under-five mortality decline between 2006 and 2011 was between 6.3 and 10.2%. CONCLUSION: In 2005, South Africa was one of only four countries globally with an under-five mortality rate higher than the 1990 Millennium Development Goal baseline. Over the past 5 years, the country has achieved a rate of child mortality reduction exceeded by only three other countries. This rapid turnaround is likely due to scale-up of prevention of mother-to-child transmission of HIV, and to a lesser degree, the expanded roll-out of antiretroviral therapy. Emphasis on these programmes must continue, but failure to address other aspects of care including integrated high-quality maternal and neonatal care means that the decline in child mortality could stall.Item Trends and inequities in amenable mortality between 1997 and 2012 in South Africa(South African Medical Journal, 2019) Neethling, Ian; Groenewald, Pam; Schneider, Helen; Bradshaw, DebbieBackground. Amenable mortality comprises causes of death that should not occur with timely and effective healthcare. It is commonly used to assess healthcare performance. It could also be used to assess the effectiveness of the pending National Health Insurance (NHI) in South Africa (SA), but to do this, the level and distribution of amenable mortality are required using a local list of amenable causes. Objectives. To establish an amenable cause-of-death list appropriate for SA and to determine the levels, trends, geographical distribution, population group differences and international comparisons of mortality amenable to healthcare. Methods. A local list of amenable causes of death was developed with input from public health and disease-specific medical experts. The Second SA National Burden of Disease estimates were reclassified into amenable mortality. Analyses of age-standardised death rates (ASDRs) and amenable mortality proportions were conducted by province and population group between 1997 and 2012. Excess mortality in relation to the best-performing province and population group was also analysed. ASDRs for SA were compared with those of European Union (EU) and Organisation for Economic Co-operation and Development (OECD) countries. Results. The local list of amenable conditions contained 45 causes of death. There were large disparities in amenable mortality between provinces and population groups, which did not attenuate over time. There was an average annual percentage increase in amenable ASDRs, but when HIV/AIDS was excluded from the analysis there was an average annual decrease of 1.12%. In the post-peak HIV/AIDS period between 2008 and 2012, an annual average of 207 810 amenable deaths could have been saved if all provinces had the same ASDR as the Western Cape. SA’s ASDR was 2.6 and 2.2 times higher than that of the worst-performing EU and OECD country, respectively. Conclusions. This is the first study known to the authors that has established a local amenable mortality list and described the epidemiology of amenable mortality in SA. Amenable mortality could be used as an indicator of the performance of the pending NHI over time and, in combination with other indicators, could identify areas of the health system that require improvement. Benchmarking could also quantify gaps in health system performance between geographical regions and indicate whether these are reduced with time.