| Literature DB >> 24780511 |
Meg Osler1, Katherine Hilderbrand2, Claudine Hennessey3, Juanita Arendse4, Eric Goemaere2, Nathan Ford3, Andrew Boulle5.
Abstract
The provision of antiretroviral therapy (ART) in low and middle-income countries is a chronic disease intervention of unprecedented magnitude and is the dominant health systems challenge for high-burden countries, many of which rank among the poorest in the world. Substantial external investment, together with the requirement for service evolution to adapt to changing needs, including the constant shift to earlier ART initiation, makes outcome monitoring and reporting particularly important. However, there is growing concern at the inability of many high-burden countries to report on the outcomes of patients who have been in care for various durations, or even the number of patients in care at a particular point in time. In many instances, countries can only report on the number of patients ever started on ART. Despite paper register systems coming under increasing strain, the evolution from paper directly to complex electronic medical record solutions is not viable in many contexts. Implementing a bridging solution, such as a simple offline electronic version of the paper register, can be a pragmatic alternative. This paper describes and recommends a three-tiered monitoring approach in low- and middle-income countries based on the experience implementing such a system in the Western Cape province of South Africa. A three-tier approach allows Ministries of Health to strategically implement one of the tiers in each facility offering ART services. Each tier produces the same nationally required monthly enrolment and quarterly cohort reports so that outputs from the three tiers can be aggregated into a single database at any level of the health system. The choice of tier is based on context and resources at the time of implementation. As resources and infrastructure improve, more facilities will transition to the next highest and more technologically sophisticated tier. Implementing a three-tier monitoring system at country level for pre-antiretroviral wellness, ART, tuberculosis and mother and child health services can be an efficient approach to ensuring system-wide harmonization and accurate monitoring of services, including long term retention in care, during the scale-up of electronic monitoring solutions.Entities:
Keywords: HIV; TIER.Net; antiretroviral therapy; eKapa; electronic register; monitoring; three-tier system
Mesh:
Substances:
Year: 2014 PMID: 24780511 PMCID: PMC4005043 DOI: 10.7448/IAS.17.1.18908
Source DB: PubMed Journal: J Int AIDS Soc ISSN: 1758-2652 Impact factor: 5.396
Figure 1Different candidate tiers of a multi-tier monitoring system.
Figure 2A three-tier monitoring and evaluation system capable of working together in a health region (one choice per facility) to ensure all contexts have an appropriate and viable way to monitor care across all levels of the health services.
Figure 3Evolution from paper systems to full EMR systems over time.
Western Cape ART programme reporting from routine monitoring and evaluation systems
| Year | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | Total | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Baseline information | Number starting ART (naive) | 88 | 308 | 596 | 2811 | 5637 | 8140 | 9606 | 15,069 | 19,018 | 23,915 | 26,732 | 31,014 | 142,934 |
| Male (%) | 27.7 | 30.7 | 29.7 | 31.1 | 32.3 | 34.4 | 36.0 | 34.3 | 35.9 | 34.9 | 35.6 | 35.6 | 35.1 | |
| Paediatric (%) | 5.7 | 31.2 | 27.0 | 10.6 | 8.2 | 7.8 | 6.1 | 5.1 | 4.5 | 4.0 | 3.1 | 2.6 | 4.5 | |
| ART experienced (%) | 7.4 | 1.9 | 2.1 | 3.8 | 3.4 | 3.4 | 4.2 | 5.2 | 6.0 | 5.8 | 5.5 | 4.2 | 5.0 | |
| CD4<100 cells/µl (%) | 78.6 | 72.5 | 61.3 | 51.2 | 45.4 | 43.1 | 40.2 | 34.8 | 35.1 | 29.8 | 23.8 | 18.9 | 30.2 | |
| CD4≥200 cells/µl (%) | 0.0 | 5.2 | 6.5 | 6.2 | 6.7 | 8.9 | 12.0 | 16.3 | 18.1 | 28.2 | 38.5 | 50.2 | 28.8 | |
| ART status after one year on ART | Remaining in care (%) | 85.1 | 87.9 | 89.7 | 88.0 | 87.2 | 86.2 | 84.9 | 86.4 | 83.7 | 81.1 | 77.0 | – | 82.7 |
| LTF (cumulative %) | 0.0 | 2.0 | 1.7 | 5.1 | 6.2 | 8.3 | 9.9 | 10.0 | 13.0 | 15.6 | 20.0 | – | 13.4 | |
| Mortality (cumulative %) | 14.9 | 10.2 | 8.6 | 7.0 | 6.5 | 5.5 | 5.3 | 3.6 | 3.4 | 3.2 | 3.1 | – | 4.0 | |
| Second line (%) | 0.0 | 0.0 | 0.8 | 0.9 | 0.7 | 0.8 | 0.6 | 0.9 | 0.9 | 1.2 | 1.3 | – | 1.0 | |
| Viral load suppression (%) | 82.4 | 74.4 | 87.0 | 87.3 | 89.0 | 87.7 | 88.7 | 87.9 | 85.8 | 85.0 | 87.0 | – | 86.8 | |
| Viral load completion (%) | 91.9 | 74.3 | 66.7 | 76.8 | 81.3 | 76.9 | 72.0 | 71.3 | 67.4 | 67.0 | 59.5 | – | 68.5 | |
| ART status after four years on ART | Remaining in care (%) | 76.5 | 79.4 | 75.6 | 73.5 | 72.1 | 70.1 | 67.5 | 64.5 | – | – | – | – | 68.3 |
| LTF (cumulative %) | 1.2 | 5.5 | 10.5 | 14.2 | 16.3 | 20.3 | 23.2 | 28.4 | – | – | – | – | 22.3 | |
| Mortality (cumulative %) | 22.4 | 15.1 | 13.9 | 12.2 | 11.6 | 9.6 | 9.3 | 7.1 | – | – | – | – | 9.3 | |
| Second line (%) | 10.8 | 16.5 | 12.2 | 9.3 | 8.1 | 8.6 | 9.3 | 10.0 | – | – | – | – | 9.3 | |
| Viral load suppression (%) | 87.1 | 82.7 | 89.9 | 89.7 | 88.5 | 82.2 | 84.6 | 84.6 | – | – | – | – | 85.2 | |
| Viral load completion (%) | 95.4 | 70.1 | 66.5 | 74.6 | 78.7 | 74.9 | 72.6 | 62.1 | – | – | – | – | 70.8 | |
| ART status after eight years on ART | Remaining in care (%) | 66.3 | 64.7 | 60.8 | 56.6 | – | – | – | – | – | – | – | – | 58.3 |
| LTF (cumulative %) | 8.8 | 14.3 | 21.6 | 26.6 | – | – | – | – | – | – | – | – | 24.2 | |
| Mortality (cumulative %) | 25.0 | 21.1 | 17.5 | 16.8 | – | – | – | – | – | – | – | – | 17.6 | |
| Second line (%) | 20.8 | 28.5 | 14.2 | 16.3 | – | – | – | – | – | – | – | – | 17.3 | |
| Viral load suppression (%) | 100.0 | 82.5 | 87.4 | 89.5 | – | – | – | – | – | – | – | – | 89.1 | |
| Viral load completion (%) | 64.2 | 36.6 | 59.3 | 68.0 | – | – | – | – | – | – | – | – | 63.2 |
ART: antiretroviral therapy; LTF: lost to follow-up.