At the request of the Office of the Global AIDS Coordinator (OGAC), the United States Agency for International Development (USAID) and the Global Fund to Fight HIV/AIDS, Tuberculosis, and Malaria (Global Fund), the USAID Health Care Improvement Project (HCI) developed an approach to yield meaningful information about the quality of HIV services for users at multiple levels of the health system. The approach proposes 16 quality criteria (QC) that were assessed through 25 existing indicators. The indicators were based on measures previously required or recommended by funders and other stakeholders, such as the Global Fund, PEPFAR, and the World Health Organization. This report presents the findings from a field test of the approach in five countries in three world regions: Africa, Eurasia, and Southeast Asia.
This presentation was given by Amy Stern, Senior QI Advisor on HCI, at the 28th International Conference of the International Society for Quality in Health Care, Ltd. (ISQua), which took place in Hong Kong, China from September 14-17, 2011. The conference theme was, “Patient Safety: Sustaining the Global Momentum.”
This short report describes assistance that the USAID Health Care Improvement Project (HCI) is providing to the Global Fund to Fight AIDS, Tuberculosis and Malaria (GFATM) and to the Office of the Global AIDS Coordinator (OGAC) to develop an approach that can be used to harmonize global reporting and improve the quality of HIV services and health outcomes. This study details HCI’s approach that employs 16 quality criteria for 5 HIV service delivery areas: testing and counseling, care and treatment, PMTCT, TB/HIV, and harm reduction. Field tests were conducted in five selected countries: 3 in Africa, 1 in Eurasia and 1 in Southeast Asia.
Continuous quality improvement (CQI) efforts in health care often rely on quality improvement (QI) teams performing self-assessments of compliance with standards of care. This is often the most efficient method of data collection for performance indicators and is therefore frequently used in resource-constrained settings (L Franco 2009). Some have found health provider self-assessment to be effective in improving performance in circumstances where higher level supervision is unavailable (E Kelly 2003). Information from such assessment is crucial to design the CQI intervention, identify performance gaps that require attention and allow the QI team to monitor its progress in improving the process of health care delivery (Vos 2010). It is therefore essential that these data be a valid representation of performance.
The collaborative model of quality improvement aims at testing and implementing Quality Improvement (QI) interventions on a small scale, synthesizing the most robust and effective changes, and spreading them at scale. Collaborative improvement not only generates improvements in the quality of care delivered in these initial sites, but also develops organizational learning. However, there still exist knowledge gaps on how to successfully spread evidence practices and ensure up-take and continuous application of these practices in resource-limited settings.
The study examines the process of spread of improvements from the demonstration phase of the MNCH Facilities Collaborative in Balkh and Kunduz to three new provinces: Parwan, Herat, and Bamiyan. In the demonstration phase, different change ideas are tested and an intervention package composing of these change ideas and interventions that yield high outcomes will be prepared and used for scale up to the three new provinces. The aim of the spread study is to evaluate the uptake and implementation of a package of changes—which originated in the demonstration phase—in Bamyan, Parwan and Herat.