Using quality improvement to accelerate highly active antiretroviral treatment coverage in South Africa.

INTRODUCTION: The authors report on a health systems strengthening intervention using quality improvement (QI) methods at the subdistrict level to accelerate highly active antiretroviral treatment (HAART) initiation in South Africa. METHODS: Using a phased scale-up design between August 2006 and November 2009, 14 primary healthcare clinics, one community health centre, one district hospital and one tertiary hospital in a subdistrict were recruited into a 'learning network' using QI methods to facilitate cross-facility learning/mentorship/support. Clinic teams consisting of nurses, counsellors, clerks and/or doctors set collective and individual performance targets, analysed their care systems using 'real-time' data feedback, and designed/implemented a set of simple changes to improve HIV testing and HAART initiation rates across the region. DATA ANALYSIS: Primary clinic data were used to measure HAART initiation rates (primary outcome) and HIV testing (secondary outcome). We analysed data variation/trends using an interrupted time series design. Logistic regression analysis was applied to examine trends in HAART initiation during the intervention phases. RESULTS: Clinics in the learning network increased HIV testing by 301.8% from 891/month (SD=94.2) to 3580/month (SD=327.7) (p<0.0001). Monthly HAART initiations increased by 185.5% from 179/month (SD=17.22) to 511/month (SD=44.93) (p<0.0001). During the pilot (phase I), the monthly rate of HAART initiations increased by 3.6 patients. In the prototype collaborative (phase II), there was no acceleration in the rate of increase (3.3/month, p=0.92). Significant acceleration was observed in the rate of increase during the QI scale up (phase III) (10.1/month, p<0.001). The proportion of estimated need for HAART met in the region increased from 35.8% to 72.4% at a time of rapid population growth. CONCLUSION: A QI approach, using learning networks to teach simple data-driven methods for addressing system failures, with increased training and resource inputs, can assist districts to quickly reach universal coverage targets.

Achieving the HIV and AIDS National Strategic Plan: A practical calculator for local target setting in district health facilities.

The South African HIV National Strategic Plan (NSP) aims to provide access to appropriate treatment, care and support to 80% of the HIV-infected population by 2011. By mid-2008, highly active antiretroviral treatment (HAART) was being dispensed to about half the HIV-infected population in need. Reaching the NSP targets will require full mobilisation of all of South Africa's health facilities. While the NSP has broad political and programmatic support from the Department of Health and civil society, and managers are able to recite the national targets, it has been difficult for these managers to relate the targets to their own geographical areas of responsibility. National, regional and district targets for HIV care have been set from South Africa's relatively good census, modelling and epidemiological data. However, few practical tools are available to help clinicians and managers understand their facility's actual contribution to the district regional and national NSP targets for each step of the HIV care pathway (HIV testing, CD4 testing, HAART referral and initiation). The calculation of HAART initiation targets is complicated by the anticipated additional demand for treatment that will be generated by a change in the recommended CD4-count threshold for initiation of treatment.4 Accordingly, we provide a data-based tool that is readily available, and that district and facility managers can use to calculate their annual steady-state HIV testing, CD4 testing and HAART initiation requirements. These calculated values can be used for local and regional planning and to assess and improve current performance at facility level.