Evidence map›Paper›PMID 28017444›Full record

ArticleVaccine2017

Planning and priority setting for vaccine development and immunization.

Charles E Phelps, Guruprasad Madhavan, Bruce Gellin

Abstract read
In one paragraph

Article in Vaccine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Charles E PhelpsUniversity of Rochester, Rochester, NY, United States. Electronic address: charles.phelps@rochester.edu.
Guruprasad MadhavanThe National Academies of Sciences, Engineering, and Medicine, Washington, DC, United States.
Bruce GellinNational Vaccine Program Office, Department of Health and Human Services, Washington, DC, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We review a sequence of strategic planning efforts over time in the United States, all involving processes to prioritize new vaccine candidates. The Institute of Medicine of the National Academies of Sciences, Engineering, and Medicine has been involved in three priority setting processes, each using different metrics and methodologies: infant mortality equivalents (1985-1986), cost-effectiveness (2000), and more recently, the implementation of a software system based on a broader multi-criteria systems approach that can include either of the earlier metrics among other various considerations (2015). The systems approach offers users the flexibility to select, combine, rank, weigh and evaluate different attributes representing their perspectives, assumptions, and particular needs. This approach also overcomes concerns relating to the previous single-metric ranking approaches that yielded lists that, once published, were static, and could not readily accommodate new information about emerging pathogens, new scientific advances, or changes in the costs and performance features of interventions. We discuss the rationale and reasoning behind the design of this multi-criteria decision support approach, stakeholder feedback about the tool, and highlight the potential advantages from using this expanded approach to better inform and support vaccine policies.

Indexed as

Decision Support TechniquesHealth PlanningImmunizationSystems AnalysisVaccinesBiomedical ResearchCost-Benefit AnalysisDrug DiscoveryHumansInfantUnited StatesVaccinesDecision support toolsImmunizationPriority settingSystems analysisVaccine development

Identifiers

PMID28017444
PMCPMC7131338

What OpenQuestion holds

Textmetadata
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.