Evidence map›Paper›PMID 30883583›Full record

ReviewPloS one2019

Using mathematical modeling to inform health policy: A case study from voluntary medical male circumcision scale-up in eastern and southern Africa and proposed framework for success.

Emmanuel Njeuhmeli, Melissa Schnure, Andrea Vazzano, Elizabeth Gold, Peter Stegman, Katharine Kripke, Michel Tchuenche, Lori Bollinger, Steven Forsythe, Catherine Hankins

Abstract readReview
In one paragraph

Review in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Web-based models to inform health policy: A scoping review.Health research policy and systems · 2025
    Article
  2. Article
  3. Review
  4. A data driven policy to minimise the tuberculosis testing cost among healthcare workers.The International journal of health planning and management · 2022
    Article
  5. Article
  6. Article
  7. Article
  8. Meta-Decision in Healthcare.Frontiers in public health · 2021
    Review
  9. Article
  10. Article
  11. Article
  12. Article
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

10 authors.

Emmanuel NjeuhmeliUnited States Agency for International Development, Washington, District of Columbia, United States of America.
Melissa SchnureProject SOAR (Supporting Operational AIDS Research), Palladium, Washington, District of Columbia, United States of America.
Andrea VazzanoProject SOAR (Supporting Operational AIDS Research), Palladium, Washington, District of Columbia, United States of America.
Elizabeth GoldAIDSFree, JSI Research and Training Institute, Arlington, Virginia, United States of America.
Peter StegmanProject SOAR (Supporting Operational AIDS Research), Avenir Health, Washington, District of Columbia, United States of America.
Katharine KripkeProject SOAR (Supporting Operational AIDS Research), Avenir Health, Washington, District of Columbia, United States of America.ORCID 0000-0001-8228-4577
Michel TchuencheProject SOAR (Supporting Operational AIDS Research), Avenir Health, Washington, District of Columbia, United States of America.
Lori BollingerProject SOAR (Supporting Operational AIDS Research), Avenir Health, Washington, District of Columbia, United States of America.
Steven ForsytheProject SOAR (Supporting Operational AIDS Research), Avenir Health, Washington, District of Columbia, United States of America.
Catherine HankinsDepartment of Global Health and Amsterdam Institute for Global Health and Development, University of Amsterdam, Amsterdam, the Netherlands.

Funding

PEPFAR
6 · The paper itself

Abstract

backgroundModeling contributes to health program planning by allowing users to estimate future outcomes that are otherwise difficult to evaluate. However, modeling results are often not easily translated into practical policies. This paper examines the barriers and enabling factors that can allow models to better inform health decision-making. DESCRIPTION: The Decision Makers' Program Planning Tool (DMPPT) and its successor, DMPPT 2, are illustrative examples of modeling tools that have been used to inform health policy. Their use underpinned Voluntary Medical Male Circumcision (VMMC) scale-up for HIV prevention in southern and eastern Africa. Both examine the impact and cost-effectiveness of VMMC scale-up, with DMPPT used initially in global advocacy and DMPPT 2 then providing VMMC coverage estimates by client age and subnational region for use in country-specific program planning. Their application involved three essential steps: identifying and engaging a wide array of stakeholders from the outset, reaching consensus on key assumptions and analysis plans, and convening data validation meetings with critical stakeholders. The subsequent DMPPT 2 Online is a user-friendly tool for in-country modeling analyses and continuous program planning and monitoring. LESSONS LEARNED: Through three iterations of the DMPPT applied to VMMC, a comprehensive framework with six steps was identified: (1) identify a champion, (2) engage stakeholders early and often, (3) encourage consensus, (4) customize analyses, (5), build capacity, and (6) establish a plan for sustainability. This framework could be successfully adapted to other HIV prevention programs to translate modeling results to policy and programming.

conclusionsModels can be used to mobilize support, strategically plan, and monitor key programmatic elements, but they can also help inform policy environments in which programs are conceptualized and implemented to achieve results. The ways in which modeling has informed VMMC programs and policy may be applicable to an array of other health interventions.

Indexed as

Decision Support Systems, ClinicalHealth PolicyNational Health ProgramsVoluntary ProgramsAdolescentAdultAfrica, EasternAfrica, SouthernChildCircumcision, MaleCost-Benefit AnalysisDecision MakingHealth Services ResearchHIV InfectionsHumansMale

Identifiers

PMID30883583
PMCPMC6422273

What OpenQuestion holds

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Registered trials

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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.