Clinical Trial Data Management in Environmental Health Tailored for an African Setting.

Clinical trial data management tools are widely available-some free to access and others relatively expensive, particularly for low- and middle-income countries. Such tools also do not always permit adaptation for local conditions nor include options to capture environmental and meteorological data. In the context of climate change and pressing environmental health threats, more studies that aim to assess the impacts of environmental change on public health are being carried out. Here, using freely available software, we tailor-made a clinical trial data management tool that managed all aspects of an intervention-based clinical trial to assess the impact of personal solar ultraviolet radiation exposure on vaccine effectiveness. Data captured and associated procedures included patient data, scheduling, reporting, analysis and data management. Moreover, patient enrolment, recruitment, follow-up and decision-making in response to patient data were managed. Given the multidisciplinary study approach, the tool also managed all environmental and meteorological data for the rural African study site. Application of the tool ensured efficient communication between rural sites, a relatively high overall participant response rate (87%) and minimal loss to follow-up. This study suggests that it is possible to tailor-make a clinical trial data management tool for environmental and public health studies.

Sunbeds and skin cancer risk: quantifying a baseline estimate of sunbed facilities in South Africa prior to implementation of sunbed regulations.

INTRODUCTION: In 2009, ultraviolet-emitting tanning devices, i.e. sunbeds and tanning booths, were officially classified as carcinogenic to human health (Group 1) by the International Agency for Research on Cancer. METHODS: Here, we aim to estimate South African-based facilities with indoor tanning services advertised in the printed Yellow Pages and online in two directories. Printed Yellow Pages telephone directory beauty salon facilities listings (2010-14) for all provinces were examined and those mentioning "sunbed" and/or "tanning bed" recorded. Beauty/spa facilities were also identified using two sunbed listing webpages. RESULTS: A total of 40 web-advertised facilities had a sunbed. Beauty facilities in the Yellow Pages specifically mentioning sunbeds declined by 62% between 2010 (n=53) and 2014 (n=20). Gauteng had the highest number of facilities (n=25) with a sunbed. Facilities with sunbeds exist in South Africa, as evidenced by the Yellow Pages and web-advertised data, but their true prevalence remains largely unknown. It is likely that online and walk-by advertising is increasingly more common than print. CONCLUSION: Given that sunbeds may likely soon become regulated in South Africa, further research is needed to better quantify sunbed provision, determine advice provided by facility operators to new users, investigate whether age restrictions or limits exist for sunbed use, and describe typical patterns of sunbed use in South Africa.

Household fuel use and child respiratory ill health in two towns in Mpumalanga, South Africa.

BACKGROUND: This cross-sectional study examined respiratory health outcomes and associated risk factors in children living in a part of South Africa characterised by high levels of air pollution. METHODS: A questionnaire was used to collect self-reported respiratory health and risk factor data from the parents/guardians of children between the ages of 9 and 11 years attending primary schools in the study area. Six government schools were selected based on their location, class size and willingness to participate. Univariate and bivariate analyses as well as logistic regression analysis were performed on the data, using a p-value of 0.25 and biological plausibility. RESULTS: The overall prevalence of respiratory ill-health symptoms was 34.1%. The prevalence of respiratory ill-health conditions was significantly elevated among children from households using non-electrical fuels v. electricity for cooking (43.9% v. 31.6%; adjusted p-value 0.005). The same was noted among those using non-electrical fuels for heating (37.8% v. 29.0%). CONCLUSION: The elevated prevalence of some respiratory health outcomes among schoolchildren, especially in conjunction with domestic fossil fuel burning, is of concern. The data collected in this study may be used to complement or form a basis for future policy regarding indoor or ambient air quality in the area.

School students' knowledge and understanding of the Global Solar Ultraviolet Index.

BACKGROUND: The Global Solar Ultraviolet Index (UVI) is a health communication tool used to inform the public about the health risks of excess solar UV radiation and encourage appropriate sun-protection behaviour. Knowledge and understanding of the UVI has been evaluated among adult populations but not among school students. OBJECTIVES: To draw on previously unpublished data from two school-based studies, one in New Zealand (NZ) and the other in South Africa (SA), to investigate and compare students' knowledge of the UVI and, where possible, report their understanding of UVI. METHODS: Cross-sectional samples of schoolchildren in two countries answered questions on whether they had seen or heard of the UVI and questions aimed at probing their understanding of this measure. RESULTS: Self-report questionnaires were completed by 1 177 students, comprising 472 NZ (264 year 8 (Y8), 214 year 4 (Y4) students) and 705 SA grade 7 primary-school students aged 8-13 years. More than half of the NZ Y8 students answered that they had previously heard about or seen the UVI, whereas significantly more SA students and NZ Y4 students replied that they had neither seen nor heard about the UVI. Among the NZ students who had seen or heard of the UVI, understanding of the tool was fairly good. CONCLUSION: The observed lack of awareness among many students in both countries provides an opportunity to introduce an innovative and age-appropriate UVI communication method that combines level of risk with behavioural responses to UVI categories and focus on personal relevance to the UVI message.