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Making Smarter Decisions Faster: Systems Engineering to Improve the Global Public Health Response to HIV

  • Implementation Science (E Geng, Section Editor)
  • Published:
Current HIV/AIDS Reports Aims and scope Submit manuscript

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.

Summary

SE is a promising, but under-recognized approach to improve public health response to HIV globally.

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Funding

ADW was supported by F32HD088204, JC was supported by R01MH113435, BHW was supported by K01MH110599, and support was provided by the Implementation Science Core of the University of Washington/Fred Hutch Center for AIDS Research, an NIH-funded program under award number AI027757 which is supported by the following NIH Institutes and Centers: NIAID, NCI, NIMH, NIDA, NICHD, NHLBI, NIA, NIGMS, and NIDDK. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

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Authors and Affiliations

  1. Department of Global Health, University of Washington, Seattle, WA, USA

    Anjuli D. Wagner, Jonny Crocker, Sarah Gimbel, Quinhas Fernandes, Melissa Mugambi, Sarah Masyuko, Bradley H. Wagenaar & Kenneth Sherr

  2. Department of Industrial & Systems Engineering, University of Washington, Seattle, WA, USA

    Shan Liu & Kenneth Sherr

  3. Ministry of Health, Nairobi, Kenya

    Peter Cherutich & Sarah Masyuko

  4. Department of Family and Child Nursing, University of Washington, Seattle, WA, USA

    Sarah Gimbel

  5. Ministry of Health, Maputo, Mozambique

    Quinhas Fernandes

  6. Department of Epidemiology, University of Washington, Seattle, WA, USA

    Kristjana Ásbjörnsdóttir & Kenneth Sherr

  7. Department of Pediatrics and Child Health, University of Nairobi, Nairobi, Kenya

    Ruth Nduati

Authors
  1. Anjuli D. Wagner
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  2. Jonny Crocker
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  3. Shan Liu
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  4. Peter Cherutich
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  5. Sarah Gimbel
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  6. Quinhas Fernandes
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  7. Melissa Mugambi
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  8. Kristjana Ásbjörnsdóttir
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  9. Sarah Masyuko
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  10. Bradley H. Wagenaar
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  11. Ruth Nduati
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  12. Kenneth Sherr
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Corresponding author

Correspondence to Anjuli D. Wagner.

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The authors declare that they have no conflict of interest.

Human and Animal Rights and Informed Consent

All reported studies/experiments with human or animal subjects performed by the authors have been previously published and complied with all applicable ethical standards (including the Helsinki declaration and its amendments, institutional/national research committee standards, and international/national/institutional guidelines).

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Anjuli D. Wagner and Jonny Crocker co-first authors

This article is part of the Topical Collection on Implementation Science

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Wagner, A.D., Crocker, J., Liu, S. et al. Making Smarter Decisions Faster: Systems Engineering to Improve the Global Public Health Response to HIV. Curr HIV/AIDS Rep 16, 279–291 (2019). https://doi.org/10.1007/s11904-019-00449-2

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