Evidence map›Paper›PMID 31197648›Full record

ReviewCurrent HIV/AIDS reports2019

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

Anjuli D Wagner, Jonny Crocker, Shan Liu, Peter Cherutich, Sarah Gimbel, Quinhas Fernandes, Melissa Mugambi, Kristjana Ásbjörnsdóttir, Sarah Masyuko, Bradley H Wagenaar and 2 more

Abstract readReview
In one paragraph

Review in Current HIV/AIDS reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Anjuli D WagnerDepartment of Global Health, University of Washington, Seattle, WA, USA. anjuliw@uw.edu.
Jonny CrockerDepartment of Global Health, University of Washington, Seattle, WA, USA.
Shan LiuDepartment of Industrial & Systems Engineering, University of Washington, Seattle, WA, USA.
Peter CherutichMinistry of Health, Nairobi, Kenya.
Sarah GimbelDepartment of Global Health, University of Washington, Seattle, WA, USA.
Quinhas FernandesDepartment of Global Health, University of Washington, Seattle, WA, USA.
Melissa MugambiDepartment of Global Health, University of Washington, Seattle, WA, USA.
Kristjana ÁsbjörnsdóttirDepartment of Epidemiology, University of Washington, Seattle, WA, USA.
Sarah MasyukoDepartment of Global Health, University of Washington, Seattle, WA, USA.
Bradley H WagenaarDepartment of Global Health, University of Washington, Seattle, WA, USA.
Ruth NduatiDepartment of Pediatrics and Child Health, University of Nairobi, Nairobi, Kenya.
Kenneth SherrDepartment of Global Health, University of Washington, Seattle, WA, USA.

Funding

University of Washington/Fred Hutch Center for AIDS ResearchP30AI027757 · NIAID · UNIVERSITY OF WASHINGTON · PI EDWIN ROBERTO ORELLANA · 1988 to 2026
$104.9M
Promoting Diversity, Equity, and Inclusivity in Research Training to Optimize HIV Prevention and TreatmentD43TW009580 · FIC · UNIVERSITY OF WASHINGTON · PI CAREY FARQUHAR, John Kinuthia · 2013 to 2026
$4.8M
Scaling up the systems analysis and improvement approach for prevention of mother-to-child HIV transmission in Mozambique (SAIA-SCALE)R01MH113435 · NIMH · UNIVERSITY OF WASHINGTON · PI SHERR, KENNETH · 2017 to 2021
$3.0M
Strengthening the identification and treatment of depression in primary care in MozambiqueK01MH110599 · NIMH · UNIVERSITY OF WASHINGTON · PI WAGENAAR, BRADLEY · 2017 to 2020
$633k
Systems analysis and improvement approach to optimize task-shifted mental health diagnosis and treatment cascades (SAIA-MH)R21MH113691 · NIMH · UNIVERSITY OF WASHINGTON · PI WAGENAAR, BRADLEY · 2017 to 2018
$395k
Systems analysis and improvement approach to improve pediatric HIV testing and linkage to careF32HD088204 · NICHD · UNIVERSITY OF WASHINGTON · PI WAGNER, ANJULI DAWN · 2016 to 2019
$168k
FIC NIH HHS D43 TW009580NIAID NIH HHS P30 AI027757NICHD NIH HHS F32 HD088204NIMH NIH HHS K01 MH110599NIMH NIH HHS R01 MH113435NIMH NIH HHS R21 MH113691
6 · The paper itself

Abstract

purpose of reviewThis 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

findingsSE 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.

Indexed as

Decision MakingGlobal HealthHIV InfectionsHumansPublic HealthHIVImplementation sciencePublic health approachSystems engineering

Identifiers

PMID31197648
PMCPMC6635031

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.