Aviva Tugendhaft
University of the Witwatersrand
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PLOS ONE | 2014
Mercy Manyema; Lennert Veerman; Lumbwe Chola; Aviva Tugendhaft; Benn Sartorius; Demetre Labadarios; Karen Hofman
Background/Objectives The prevalence of obesity in South Africa has risen sharply, as has the consumption of sugar-sweetened beverages (SSBs). Research shows that consumption of SSBs leads to weight gain in both adults and children, and reducing SSBs will significantly impact the prevalence of obesity and its related diseases. We estimated the effect of a 20% tax on SSBs on the prevalence of and obesity among adults in South Africa. Methods A mathematical simulation model was constructed to estimate the effect of a 20% SSB tax on the prevalence of obesity. We used consumption data from the 2012 SA National Health and Nutrition Examination Survey and a previous meta-analysis of studies on own- and cross-price elasticities of SSBs to estimate the shift in daily energy consumption expected of increased prices of SSBs, and energy balance equations to estimate shifts in body mass index. The population distribution of BMI by age and sex was modelled by fitting measured data from the SA National Income Dynamics Survey 2012 to the lognormal distribution and shifting the mean values. Uncertainty was assessed with Monte Carlo simulations. Results A 20% tax is predicted to reduce energy intake by about 36kJ per day (95% CI: 9-68kJ). Obesity is projected to reduce by 3.8% (95% CI: 0.6%–7.1%) in men and 2.4% (95% CI: 0.4%–4.4%) in women. The number of obese adults would decrease by over 220 000 (95% CI: 24 197–411 759). Conclusions Taxing SSBs could impact the burden of obesity in South Africa particularly in young adults, as one component of a multi-faceted effort to prevent obesity.
Global Health Action | 2015
Lumbwe Chola; Yogan Pillay; Peter Barron; Aviva Tugendhaft; Kate Kerber; Karen Hofman
Background South Africa has made substantial progress on child and maternal mortality, yet many avoidable deaths of mothers and children still occur. This analysis identifies priority interventions to be scaled up nationally and projects the potential maternal and child lives saved. Design We modelled the impact of maternal, newborn and child interventions using the Lives Saved Tools Projections to 2015 and used realistic coverage increases based on expert opinion considering recent policy change, financial and resource inputs, and observed coverage change. A scenario analysis was undertaken to test the impact of increasing intervention coverage to 95%. Results By 2015, with realistic coverage, the maternal mortality ratio (MMR) can reduce to 153 deaths per 100,000 and child mortality to 34 deaths per 1,000 live births. Fifteen interventions, including labour and delivery management, early HIV treatment in pregnancy, prevention of mother-to-child transmission and handwashing with soap, will save an additional 9,000 newborns and children and 1,000 mothers annually. An additional US
PLOS ONE | 2015
Lumbwe Chola; Shelley McGee; Aviva Tugendhaft; Eckhart Buchmann; Karen Hofman
370 million (US
Global Health Action | 2015
Jessie Mandle; Aviva Tugendhaft; Julia Michalow; Karen Hofman
7 per capita) will be required annually to scale up these interventions. When intervention coverage is increased to 95%, breastfeeding promotion becomes the top intervention, the MMR reduces to 116 and the child mortality ratio to 23. Conclusions The 15 interventions identified were adopted by the National Department of Health, and the Health Minister launched a campaign to encourage Provincial Health Departments to scale up coverage. It is hoped that by focusing on implementing these 15 interventions at high quality, South Africa will reach Millennium Development Goal (MDG) 4 soon after 2015 and MDG 5 several years later. Focus on HIV and TB during early antenatal care is essential. Strategic gains could be realised by targeting vulnerable populations and districts with the worst health outcomes. The analysis demonstrates the usefulness of priority setting tools and the potential for evidence-based decision making in the health sector.Background South Africa has made substantial progress on child and maternal mortality, yet many avoidable deaths of mothers and children still occur. This analysis identifies priority interventions to be scaled up nationally and projects the potential maternal and child lives saved. Design We modelled the impact of maternal, newborn and child interventions using the Lives Saved Tools Projections to 2015 and used realistic coverage increases based on expert opinion considering recent policy change, financial and resource inputs, and observed coverage change. A scenario analysis was undertaken to test the impact of increasing intervention coverage to 95%. Results By 2015, with realistic coverage, the maternal mortality ratio (MMR) can reduce to 153 deaths per 100,000 and child mortality to 34 deaths per 1,000 live births. Fifteen interventions, including labour and delivery management, early HIV treatment in pregnancy, prevention of mother-to-child transmission and handwashing with soap, will save an additional 9,000 newborns and children and 1,000 mothers annually. An additional US
BMC Public Health | 2015
Lumbwe Chola; Julia Michalow; Aviva Tugendhaft; Karen Hofman
370 million (US
BMC Pregnancy and Childbirth | 2015
Julia Michalow; Lumbwe Chola; Shelley McGee; Aviva Tugendhaft; Robert Clive Pattinson; Kate Kerber; Karen Hofman
7 per capita) will be required annually to scale up these interventions. When intervention coverage is increased to 95%, breastfeeding promotion becomes the top intervention, the MMR reduces to 116 and the child mortality ratio to 23. Conclusions The 15 interventions identified were adopted by the National Department of Health, and the Health Minister launched a campaign to encourage Provincial Health Departments to scale up coverage. It is hoped that by focusing on implementing these 15 interventions at high quality, South Africa will reach Millennium Development Goal (MDG) 4 soon after 2015 and MDG 5 several years later. Focus on HIV and TB during early antenatal care is essential. Strategic gains could be realised by targeting vulnerable populations and districts with the worst health outcomes. The analysis demonstrates the usefulness of priority setting tools and the potential for evidence-based decision making in the health sector.
Public Health Nutrition | 2016
Aviva Tugendhaft; Mercy Manyema; Lennert Veerman; Lumbwe Chola; Demetre Labadarios; Karen Hofman
Introduction Family planning contributes significantly to the prevention of maternal and child mortality. However, many women still do not use modern contraception and the numbers of unintended pregnancies, abortions and subsequent deaths are high. In this paper, we estimate the service delivery costs of scaling up modern contraception, and the potential impact on maternal, newborn and child survival in South Africa. Methods The Family Planning model in Spectrum was used to project the impact of modern contraception on pregnancies, abortions and births in South Africa (2015-2030). The contraceptive prevalence rate (CPR) was increased annually by 0.68 percentage points. The Lives Saved Tool was used to estimate maternal and child deaths, with coverage of essential maternal and child health interventions increasing by 5% annually. A scenario analysis was done to test impacts when: the change in CPR was 0.1% annually; and intervention coverage increased linearly to 99% in 2030. Results If CPR increased by 0.68% annually, the number of pregnancies would reduce from 1.3 million in 2014 to one million in 2030. Unintended pregnancies, abortions and births decrease by approximately 20%. Family planning can avert approximately 7,000 newborn and child and 600 maternal deaths. The total annual costs of providing modern contraception in 2030 are estimated to be US
PLOS ONE | 2015
Mercy Manyema; J. Lennert Veerman; Lumbwe Chola; Aviva Tugendhaft; Demetre Labadarios; Karen Hofman
33 million and the cost per user of modern contraception is US
Journal of Health Organisation and Management | 2016
Jean R. Slutsky; Emma Tumilty; Catherine Max; Lanting Lu; Sripen Tantivess; Renata Curi Hauegen; Jennifer A. Whitty; Albert Weale; Steven D. Pearson; Aviva Tugendhaft; Hufeng Wang; Sophie Staniszewska; Krisantha Weerasuriya; Jeonghoon Ahn; Leonardo Cubillos
7 per year. The incremental cost per life year gained is US
PLOS Medicine | 2015
Peter Byass; Chodziwadziwa Kabudula; Paul Mee; Sizzy Ngobeni; Bernard Silaule; F. Xavier Gómez-Olivé; Mark A. Collinson; Aviva Tugendhaft; Ryan G. Wagner; Rhian Twine; Karen Hofman; Stephen Tollman; Kathleen Kahn
40 for children and US