Anjuli D Wagner1, Jonny Crocker2, Shan Liu3, Peter Cherutich4, Sarah Gimbel2,5, Quinhas Fernandes2,6, Melissa Mugambi2, Kristjana Ásbjörnsdóttir7, Sarah Masyuko2,4, Bradley H Wagenaar2, Ruth Nduati8, Kenneth Sherr2,3,7. 1. Department of Global Health, University of Washington, Seattle, WA, USA. anjuliw@uw.edu. 2. Department of Global Health, University of Washington, Seattle, WA, USA. 3. Department of Industrial & Systems Engineering, University of Washington, Seattle, WA, USA. 4. Ministry of Health, Nairobi, Kenya. 5. Department of Family and Child Nursing, University of Washington, Seattle, WA, USA. 6. Ministry of Health, Maputo, Mozambique. 7. Department of Epidemiology, University of Washington, Seattle, WA, USA. 8. Department of Pediatrics and Child Health, University of Nairobi, Nairobi, Kenya.
Abstract
PURPOSE OF REVIEW: This review offers an operational definition of systems engineering (SE) as applied to public health, reviews applications of SE in the field of HIV, and identifies opportunities and challenges of broader application of SE in global health. RECENT FINDINGS: SE involves the deliberate sequencing of three steps: diagnosing a problem, evaluating options using modeling or optimization, and providing actionable recommendations. SE includes diverse tools (from process improvement to mathematical modeling) applied to decisions at various levels (from local staffing decisions to planning national-level roll-out of new interventions). Contextual factors are crucial to effective decision-making, but there are gaps in understanding global decision-making processes. Integrating SE into pre-service training and translating SE tools to be more accessible could increase utilization of SE approaches in global health. SE is a promising, but under-recognized approach to improve public health response to HIV globally.
PURPOSE OF REVIEW: This review offers an operational definition of systems engineering (SE) as applied to public health, reviews applications of SE in the field of HIV, and identifies opportunities and challenges of broader application of SE in global health. RECENT FINDINGS:SE involves the deliberate sequencing of three steps: diagnosing a problem, evaluating options using modeling or optimization, and providing actionable recommendations. SE includes diverse tools (from process improvement to mathematical modeling) applied to decisions at various levels (from local staffing decisions to planning national-level roll-out of new interventions). Contextual factors are crucial to effective decision-making, but there are gaps in understanding global decision-making processes. Integrating SE into pre-service training and translating SE tools to be more accessible could increase utilization of SE approaches in global health. SE is a promising, but under-recognized approach to improve public health response to HIV globally.
Entities:
Keywords:
HIV; Implementation science; Public health approach; Systems engineering
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