ABSTRACT
Background: To optimally allocate limited health resources in responding to the HIV epidemic, South Africa has undertaken to generate local epidemiological profiles identifying high disease burden areas. Central to achieving this, is the need for readily available quality health data linked to both large and small geographic areas. South Africa has relied on national population-based surveys: the Household HIV Survey and the National Antenatal Sentinel HIV and Syphilis Prevalence Survey (ANC) amongst others for such data for informing policy decisions. However, these surveys are conducted approximately every 2 and 3 years creating a gap in data and evidence required for policy. At subnational levels, timely decisions are required with frequent course corrections in the interim. Routinely collected HIV testing data at public health facilities have the potential to provide this much needed information, as a proxy measure of HIV prevalence in the population, when survey data is not available. The South African District health information system (DHIS) contains aggregated routine health data from public health facilities which is used in this article. Methods: Using spatial interpolation methods we combine three "types" of data: (1) 2015 gridded high-resolution population data, (2) age-structure data as defined in South Africa mid-year population estimates, 2015; and (3) georeferenced health facilities HIV-testing data from DHIS for individuals (15-49 years old) who tested in health care facilities in the district in 2015 to delineate high HIV disease burden areas using density surface of either HIV positivity and/or number of people living with HIV (PLHIV). For validation, we extracted interpolated values at the facility locations and compared with the real observed values calculating the residuals. Lower residuals means the Inverse Weighted Distance (IDW) interpolator provided reliable prediction at unknown locations. Results were adjusted to provincial published HIV estimates and aggregated to municipalities. Uncertainty measures map at municipalities is provided. Data on major cities and roads networks was only included for orientation and better visualization of the high burden areas. Results: Results shows the HIV burden at local municipality level, with high disease burden in municipalities in eThekwini, iLembe and uMngundgudlovu; and around major cities and national routes. Conclusion: The methods provide accurate estimates of the local HIV burden at the municipality level. Areas with high population density have high numbers of PLHIV. The analysis puts into the hand of decision makers a tool that they can use to generate evidence for HIV programming. The method allows decision makers to routinely update and use facility level data in understanding the local epidemic.
ABSTRACT
BACKGROUND: Trauma is one of the leading prehospital disease profiles in South Africa in general and in KwaZulu-Natal (KZN) in particular. The present study was designed to review the prehospital burden of injury in KZN, identify trauma burden to ambulance ratios, analyze system deficiencies, and propose a prehospital trauma system that is Afrocentric in nature. METHODS: Approval from the relevant ethics authorities was obtained. Using a convenience data set all Emergency Medical Service (EMS) call data for the months of March and September 2010 were reviewed for the three main EMS providers in KZN. Data were extrapolated to annual data and placed in the context of population, ambulance service, and facility. The data were then mapped for area distribution and prehospital workload relative to the entire province. Questionnaire-based assessments of knowledge and deficiencies of the current system were completed by senior officers of the provincial system as part of the analysis of the current system. RESULTS: The total annual call burden for trauma ranges between 94,840 and 101,420, or around 11.6 trauma calls per thousand of the population per year. Almost 70 % of calls were either for interpersonal intentional violence or vehicular collisions. Only 0.25 % of calls involved aeromedical resources. Some 80 % of patients were considered to be moderately to seriously injured, yet only 41 % of the patients were transported to a suitable level of care immediately, with many going to inappropriate lower level care facilities. Many rural calls are not attended within the time norms accepted nationally. Deficiencies noted by the questionnaire survey are the general lack of a bypass mechanism and the feeling among staff that most EMS bases do not have a bypass option or feel part of a system of care, despite large numbers of staff having been recently trained in triage and major trauma care. CONCLUSIONS: The prehospital trauma burden in KZN is significant and consumes vital resources and gridlocks facilities. A prehospital trauma system that is financially sustainable and meets the needs of the trauma burden is proposed to enable Afrocentric emergency care planning for low and middle income regions.
