Data Centre Profile: The Provincial Health Data Centre of the Western Cape Province, South Africa.

INTRODUCTION: The Western Cape Provincial Health Data Centre (PHDC) consolidates person-level clinical data across government services, leveraging sustained investments in patient registration systems, a unique identifier, and maturation of administrative and clinical digital health systems. OBJECTIVES: The PHDC supports clinical care directly through tools for clinicians which integrate patient data or identify patients in need of interventions, and indirectly through supporting operational and epidemiological analyses. METHODS: The PHDC is housed entirely within government. Data are processed from a range of source systems, usually daily, through distinct harmonisation and curation, beneficiation, and reporting processes. Linkage is predominantly through the unique identifier which doubles as a pervasive folder number, augmented by other identifiers. Further data processing includes triangulation of multiple data sources for enumerating health conditions, with assignment of certainty levels for each enumeration. Outputs include patient-specific email alerts, a web-based consolidated patient clinical viewing platform, filterable line-listings of patients with specific conditions and associated characteristics and outcomes, management reports and dashboards, and data releases in response to operational and research data requests. Strict architectural, administrative and governance processes ensure privacy protection. RESULTS: In the past decade 8 million unique people are recorded as having sought healthcare in the provincial public sector health services, with current utilisation at 15 million attendances or admissions a year. Cross-sectional enumeration of health conditions includes over 430 000 people with HIV, 500 000 with hypertension, 235 000 with diabetes. Annually 110 000 pregnancies and 54 000 patients with tuberculosis are enumerated. Over 50 data requests are processed each year for internal and external requesters in accordance with data request and release governance processes. CONCLUSIONS: The single consolidated environment for person-level health data in the Western Cape has created new opportunities for supporting patient care, while improving the governance around access to and release of sensitive patient data.

Predicting West Nile Virus Infection Risk From the Synergistic Effects of Rainfall and Temperature.

Mosquito-based surveillance is a practical way to estimate the risk of transmission of West Nile virus (WNV) to people. Variations in temperature and precipitation play a role in driving mosquito infection rates and transmission of WNV, motivating efforts to predict infection rates based on prior weather conditions. Weather conditions and sequential patterns of meteorological events can have particularly important, but regionally distinctive, consequences for WNV transmission, with high temperatures and low precipitation often increasing WNV mosquito infection. Predictive models that incorporate weather can thus be used to provide early indications of the risk of WNV infection. The purpose of this study was first, to assess the ability of a previously published model of WNV mosquito infection to predict infection for an area within the region for which it was developed, and second, to improve the predictive ability of this model by incorporating new weather factors that may affect mosquito development. The legacy model captured the primary trends in mosquito infection, but it was improved considerably when calibrated with local mosquito infection rates. The use of interaction terms between precipitation and temperature improved model performance. Specifically, temperature had a stronger influence than rainfall, so that lower than average temperature greatly reduced the effect of low rainfall on increased infection rates. When rainfall was lower, high temperature had an even stronger positive impact on infection rates. The final model is practical, stable, and operationally valid for predicting West Nile virus infection rates in future weeks when calibrated with local data.

Clinical features and prognosis of primary biliary cirrhosis associated with systemic sclerosis.

BACKGROUNDS AND AIMS: To evaluate the prognosis of primary biliary cirrhosis (PBC) together with systemic sclerosis (SSc), as this is unknown. METHODS AND RESULTS: A PBC database of 580 patients identified 43 with PBC and SSc: two patients with PBC alone were matched to each PBC-SSc patient for serum bilirubin concentration at the initial visit. Forty (93%) patients had limited cutaneous SSc. At diagnosis of PBC, median values were: 49.7 years, bilirubin 17 micromol/l, and albumin 40.5 g/l. Liver diagnosis occurred a median 4.9 years after SSc in 24 (56%) patients. In matched patients, median values at diagnosis were: 53.2 years, bilirubin 12 micromol/l, and albumin 41 g/l. Median follow up was similar: 3.16 years (PBC-SSc) and 4.8 years (PBC alone). The risk of transplantation or death from diagnosis, adjusting for sex, age, log bilirubin, and alkaline phosphatase was significantly lower in PBC-SSc (hazard ratio 0.116, p=0.01) due to less transplantation (hazard ratio 0.068, p=0.006). The rate of bilirubin increase was less in PBC-SSc (p=0.04). Overall survival was similar (hazard ratio 1.11, p=0.948); there were nine deaths (21%) in PBC-SSc (six SSc related and two liver related) and nine (11%) in PBC alone (six liver related). CONCLUSIONS: Liver disease has a slower progression in PBC-SSc compared with matched patients with PBC alone.