On-line version ISSN 2078-5135
Print version ISSN 0256-9574
SAMJ, S. Afr. med. j. vol.104 n.3 Cape Town Mar. 2014
PREVENTION OF MOTHER-TO-CHILD TRANSMISSION
S BhardwajI; P BarronII; Y PillayIII; L Treger-SlavinIV; P RobinsonV; A GogaVI, VII; G ShermanVIII, IX
IMB BS, MD, MPH. UNICEF, South Africa
IIBCom, FFCH. School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
IIIPhD. National Department of Health, Pretoria, South Africa
IVBA, MPH. UNICEF, South Africa
VBA (Health Services Mgmt Soc Sci), Adv Midwif, Adv Nurs Dyn. National Department of Health, Pretoria, South Africa
VIMB ChB, DTMH, DCH, MSc, MCH, FCPaed, MSc (Epidemiol). Department of Paediatrics and Child Health, Kalafong Hospital and Faculty of Health Sciences, University of Pretoria, South Africa
VIIMB ChB, DTMH, DCH, MSc, MCH, FCPaed, MSc (Epidemiol). South African Medical Research Council, Pretoria, South Africa
VIIIMB BCh, PhD. National Health Laboratory Service, Johannesburg, South Africa
IXMB BCh, PhD. Department of Molecular Medicine and Haematology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
BACKGROUND. South Africa (SA) is committed to achieving the goal of eliminating mother-to-child transmission (MTCT) of HIV by 2015. To achieve this, universal coverage of quality antenatal, labour, delivery and postnatal services for all women has to be attained. Over the past decade, the prevention of mother-to-child transmission (PMTCT) programme has been scaled up to reach all healthcare facilities in the country. However, challenges persist in achieving 100% coverage and access to the programme.
OBJECTIVES. We describe the process undertaken by the National Department of Health (NDoH), in collaboration with partners, to develop, implement and monitor a data-driven intervention to improve facility, district, provincial and national PMTCT-related performance.
METHODS. Between 2011 and 2013, the NDoH developed and implemented an intervention using data-driven participatory processes to understand facility-level bottlenecks to optimise PMTCT implementation and to scale up priority PMTCT actions nationally.
RESULTS. There was remarkable improvement across all key indicators in the PMTCT cascade over the 3 years 2011 - 2013. Simple monitoring tools such as a visual dashboard and data for action reports were successfully used to improve the performance of the PMTCT programme across SA. MTCT has shown a significant downward trend.
CONCLUSIONS. It is feasible to implement district-level, data-driven quality improvement processes at a national scale to improve the performance of the PMTCT programme at the local level.
South Africa (SA) is in a unique position to move towards virtual elimination of new HIV infections in children by 2015 (defined as a <2% rate of mother-to-child transmission (MTCT) of HIV at 6 weeks and a <5% rate at 18 months.
There has been a massive scale-up of the prevention of mother-to-child transmission (PMTCT) of HIV programme. The SA PMTCT Evaluation showed 3.5% MTCT at 4 - 8 weeks of age in 2010. When the survey was repeated in 2011, the MTCT rate was 2.7%. The survey also showed that the proportion of eligible pregnant women taking triple antiretrovirals (ARVs) increased from 33.1% in 2010 to 46.2% in 2011.
The National Strategic Plan on HIV, STIs and TB 2012 - 2016 sets a goal of 'Reducing MTCT to less than 2% at six weeks post-delivery and less than 5% at 18 months of age by 2016'. To reach the ambitious goals of achieving virtual elimination of MTCT and putting all pregnant women on treatment, it is critical to scale up the PMTCT programme across all healthcare facilities in the country. It is also important to understand challenges and bottlenecks at facility and district level to ensure tailored and contextualised responses that will enable results to be achieved at the local level.
Several initiatives implemented in SA showed that decentralised planning and monitoring produce results.[4-6] These initiatives were implemented in a few facilities and focused primarily around the use of data and working with programme managers to gain an in-depth understanding of data. Quality improvement initiatives implemented at facility level using participatory data-driven approaches and on-site monitoring and supervisory support have shown improvement in PMTCT coverage and service delivery.[7,8]
Between June and November 2011, the National Department of Health (NDoH) developed an action framework for eliminating MTCT of HIV by 2015 in SA. The framework is entitled 'No child born with HIV by 2015 and improving the health and wellbeing of mothers, partners and babies in South Africa'. The over-arching foundation of the national action framework is the need for evidence-based, accelerated programme scale-up and delivery of quality services with innovation. The framework proposed that data-driven action plans are needed for all the districts and provinces. These action plans could then inform provincial and district-specific work planning, implementation and monitoring.
This paper describes the process undertaken by the NDoH, in collaboration with partners, to develop, implement and monitor a data-driven intervention to improve facility, district, provincial and national PMTCT-related performance.
The NDoH, supported by partners, recognised that the backbone of this intervention is a series of critical pathways called the PMTCT cascade that pregnant HIV-positive women need to move through to optimise their health. It is critical that the 'right intervention' is done at the 'appropriate time' in the cascade for all women, regardless of HIV status, to reduce the risk of MTCT. The cascade can be monitored through process indicators that are collected routinely as part of the District Health Information System (DHIS). These process indicators are collected in most countries.[10,11]
Fig. 1 outlines the cascade followed in SA from June 2011 to March 2013 (i.e. when SA was implementing WHO Option A PMTCT recommendations) and highlights the indicators used at critical points in the cascade to support tracking progress and identification of gaps in service delivery.
To understand the key challenges and gaps and to inform prioritisation of actions, data from the DHIS, the National Health Laboratory Service, the Saving Mothers report and the SA PMTCT Evaluation were collated and analysed for the PMTCT cascade per district and province for 2010 (baseline). Using this information as a starting point, each district health team completed a bottleneck analysis of the obstacles and finalised an individualised action framework with potential key strategies that could improve access to and coverage of PMTCT programmes along the cascade, focusing on key indicators. Focus was on integrating PMTCT with routine interventions for reproductive, maternal, newborn and child health. The process was repeated in 2012 through the mid-year stock-taking exercise where progress with overcoming bottlenecks and activities in the 2011 Action Plan were tracked along with agreement on the next steps. Table 1 shows the phased approach and key actions adopted by the NDoH.
To facilitate development of an early warning system to alert programme managers and facility staff of attrition and gaps in the PMTCT cascade, a monitoring system was developed. Colour-coded dashboards comprising key indicators representing critical points in the PMTCT cascade were agreed on for tracking using the 'traffic light/ robot' approach. An indicator scored green when the target had been achieved, amber when there was progress from the baseline value without reaching the target, and red when there was no progress or downward movement. Quarterly data for action reports, including dashboards, were completed at district, provincial and national levels.
Despite the scale-up of services in the past few years, gaps and challenges in achieving universal coverage for PMTCT across SA exist as a result of disparities across provinces, districts and sub-districts. The key challenges identified were gaps in quality of care at service delivery level and deficiencies in the quality of data. In some instances there was inaccurate or incomplete recording and reporting, lack of understanding of key indicators by healthcare providers and stakeholders, and lack of a systematic process of feedback and monitoring linked to action at all levels of healthcare delivery.
The district case study presented in Table 2 showcases the key steps, viz. identification of bottlenecks and priority actions with tracking of progress through the dashboard.
In Lejweleputswa district there was an across-the-board improvement in the indicators. For example, the proportion of HIV-positive antenatal women started on ARV therapy improved from 62% in 2010 to 80.3% in 2012, and early antenatal registration improved from 42.8% in 2010 to 54% in 2012 (Figs 2 and 3).
The oversight management and co-ordination of response with key stakeholders as well as facility-level actions to address the gaps identified during the bottleneck analysis have led to concrete results, and the increases in this district are therefore much greater than the increases in the national averages.
The example illustrated in this case study reflects the improvement seen across the PMTCT cascade in all 52 districts. This in turn has led to an improvement in overall programme performance at national level and a dramatic decrease in MTCT transmission rates for SA.
Fig. 4 illustrates how key national indicators along the PMTCT cascade changed over a 3-year period (2010 - 2012). There was improvement in early antenatal registration from 37% to 43%, and the antenatal retesting rate for women with a negative result on the first antenatal HIV test increased from 28% in 2010 to 47% in 2012. There has been a remarkable improvement across all indicators in the PMTCT cascade at the national level.
The quality improvement process for PMTCT has resulted in critical actions:
• Co-ordination mechanisms functioning at national, provincial and district levels were strengthened to support monitoring and co-ordination of the programme, including regular review of the dashboards and data for action reports.
• There was large-scale implementation of capacity-building workshops with mentoring plans for healthcare staff at facility level supporting the implementation of priority actions as identified through the bottleneck analysis and dashboards.
• Community engagement was prioritised; including improving co-ordination among stakeholders and their work in PMTCT.
In addition, a number of programmatic priorities were identified:
• Meet the family planning needs of all women in the reproductive age group.
• Improve the involvement of males and communities for increased ownership and participation in service delivery.
• Ensure universal access to HIV counselling and testing and care and support services.
• Provide comprehensive quality antenatal care for all women.
• Provide ARV prophylaxis or treatment (based on eligibility criteria) and extend care and treatment through the postnatal period.
• Improve linkages and referrals of infants diagnosed with HIV for appropriate treatment and care.
• Improve tracking for early infant diagnosis for all HIV-exposed infants through the breastfeeding period.
• Ensure accessibility of services through integration of healthcare services for all women and children.
• Improve safe infant feeding practices for all babies (regardless of HIV exposure).
• Track progress on a monthly basis at facility level to ensure understanding of bottlenecks, and take corrective action.
• Use data as a tool for programme planning, action and monitoring.
The process adopted by SA shows that large-scale implementation of data-driven decentralised planning and monitoring using quality improvement tools results in improving the understanding of bottlenecks and prioritising actions at local levels. This supports improvement in programme performance across the PMTCT cascade.
However, given existing inequalities, unequal effort may be needed to ensure equal service access. In districts and provinces with high MTCT rates and gaps in the cascade, additional efforts are required to improve systems to reduce MTCT rates and access to care for mothers and infants.
With this continued effort, SA is on track to meet the goal of virtual elimination of MTCT by 2015. Efforts are ongoing to realise the vision of the action framework, viz. 'No child born with HIV and improving the health and well being of mothers, babies and partners' in SA by 2015.
Acknowledgements. The work described in this article is a result of contributions by several individuals supporting the PMTCT programme, members of the PMTCT technical working group, PMTCT steering committees at national and provincial levels, provincial PMTCT coordinators, technical and implementing partners, facility healthcare staff and members of civil society.
1. Human Sciences Research Council. HIV/AIDS in South Africa: At last the glass is half full. Plenary Session 3, AIDS Conference, Durban, South Africa, 20 June 2013. http://www.hsrc.ac.za/en/media-briefs/hiv-aids-stis-and-tb/plenary-session-3-20-june-2013-hiv-aids-in-south-africa-at-last-the-glass-is-half-full (accessed 8 August 2013). [ Links ]
2. Gmended by the World Health Organization (WHO). Presented at the 4th International Workshop on HIV Pediatrics, Implementation Research on PMoga A, Dinh TH, Jackson D, et al, the South Africa PMTCT Evaluation (SAPMTCTE) team. Impact of the national prevention of mother to child transmission of HIV (PMTCT) program on perinatal MTCT measured at 6 weeks postpartum, South Africa (SA): Results of the first year of implementation of the 2010 PMTCT Guidelines recomTCT and Pediatric Treatment Programmes, Washington, DC, USA, 20-21 July 2012. Abstract 0_12. http://www.mrc.ac.za/healthsystems/SAPMTCTEExecSummary2012.pdf (accessed 8 August 2013). [ Links ]
3. South African National AIDS Council. National Strategic Plan on HIV, STIs and TB 2012 - 2016. Pretoria: SANAC, 2011. [ Links ]
4. Friedman J, Sticking to the numbers: Performance monitoring in South Africa, 2009-2011. Innovations for Successful Societies, Princeton University. http://www.princeton.edu/successfulsocieties (accessed 8 August 2013). [ Links ]
5. Luvuno ZPB, Ngidi WH, Reddy J, Mhlongo O, Mate K. Leadership matters: Mobilization of province wide PMTCT team to improve key PMTCT indicators in the 11 districts of KZN province. Presented at the XIX International AIDS Conference, Washington, DC, USA, 22-27 July 2012. Poster Exhibition MOPE729. [ Links ]
6. Mphatswe W, Mate KS, Bennett B, et al Improving public health information: A data quality intervention in KwaZulu-Natal, South Africa. Bull World Health Organ 2012;90(3):176-182. [http://dx.doi.org/10.1590/S0042-96862012000300009] [ Links ]
7. Mate K, Ngubane G, Barker PM. A quality improvement model for the rapid scale-up of a program to prevent mother-to-child HIV transmission in South Africa. Int J Qual Health Care 2003;25(4):373-380. [http://dx.doi.org/10.1093/intqhc/mzt039] [ Links ]
8. Doherty T, Chopra M, Nsibande D, Mngoma D. Improving the coverage of the PMTCT programme through a participatory quality improvement intervention in South Africa. BMC Public Health 2009;9:406. [http://dx.doi.org/10.1186/1471-2458-9-406] [ Links ]
9. National Department of Health, National Action Framework for PMTCT. No child born with HIV by 2015 and improving the health and wellbeing of mothers, babies and partners in South Africa, 20122016. http://www.sanacws.org.za/af/resource-centre/download/4feac9f1ef9ca-version-dec-15th-action-framework-emtct-5-pdf (accessed 24 January 2014). [ Links ]
10. Stringer E, Chi B, Chintu N, et al. Monitoring effectiveness of programmes to prevent mother-to-child HIV transmission in lower-income countries. Bull World Health Organ 2008;86(1):57-62. [http://dx.doi.org/10.2471/BLT.07.043117] [ Links ]
11. Rawizza HE. Toward eliminating pediatric HIV infection, improving retention in the PMTCT care cascade. Medscape, 2012. http://www.medscape.com/viewarticle/764394 (accessed 8 August 2013). [ Links ]
12. National Department of Health. Saving Mothers 2008-2010: Fifth Report on Confidential Enquiries into Maternal Deaths in South Africa. Pretoria: NDoH, 2011. [ Links ]