Evidence map›Paper›PMID 30559203›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2018

Toward economic evaluation of the value of vaccines and other health technologies in addressing AMR.

J P Sevilla, David E Bloom, Daniel Cadarette, Mark Jit, Marc Lipsitch

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 2 pooled it
–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

36 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Antimicrobial resistance in paediatricThe Lancet. Microbe · 2021
    Pooled it
  2. Pooled it
  3. [Use of vaccines to prevent the development of bacterial resistance].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2026
    Review
  4. Article
  5. Article
  6. Article
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  9. Microbes Saving Lives and Reducing Suffering.Microbial biotechnology · 2025
    Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Trends inOpen forum infectious diseases · 2023
    Article
  16. Article
  17. Frequency of bystander exposure to antibiotics for enteropathogenic bacteria among young children in low-resource settings.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  18. Article
  19. Article
  20. 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

5 authors.

J P SevillaDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA 02115; jsevilla@gmail.com.
David E BloomDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA 02115.
Daniel CadaretteDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA 02115.
Mark JitDepartment of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London WC1E 7HT, United Kingdom.
Marc LipsitchCenter for Communicable Disease Dynamics, Harvard T.H. Chan School of Public Health, Boston, MA 02115.

Funding

Understanding and controlling antibiotic resistanceU54GM088558 · NIGMS · HARVARD SCHOOL OF PUBLIC HEALTH · PI BUCKEE, CAROLINE O'FLAHERTY · 2009 to 2018
$26.4M
VACCINATION AND THE EVOLUTIONARY DYNAMICS OF PNEUMOCOCCIR01AI048935 · NIAID · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI LIPSITCH, MARC · 2001 to 2016
$8.8M
NIAID NIH HHS R01 AI048935NIGMS NIH HHS U54 GM088558
6 · The paper itself

Abstract

We discuss the need to make economic evaluations of vaccines antimicrobial resistance (AMR)-sensitive and ways to do so. Such AMR-sensitive evaluations can play a role in value-for-money comparisons of different vaccines within a national immunization program, or in comparisons of vaccine-centric and non-vaccine-centric technologies within an anti-AMR program. In general terms, incremental cost-effectiveness ratios and rates of return and their associated decision rules are unaltered by consideration of AMR-related value. The decision metrics need to have their various health, cost, and socioeconomic terms disaggregated into resistance-related subcategories, which in turn have to be measured carefully before they are reaggregated. The fundamental scientific challenges lie primarily in quantifying the causal impact of health technologies on resistance-related health outcomes, and secondarily in ascertaining the economic value of those outcomes. We emphasize the importance of evaluating vaccines in the context of other potentially complementary and substitutable nonvaccine technologies. Complementarity implies that optimal spending on each set of interventions is positive, and substitutability implies that the ratio of spending will depend on relative value for money. We exemplify this general point through a qualitative discussion of the complementarities and (especially the) substitutability between pneumococcal conjugate vaccines and antimicrobial stewardship and between research and development (R&D) of a gonorrhea vaccine versus R&D of a gonorrhea antibiotic. We propose a roadmap for future work, which includes quantifying the causal effects of vaccination and other health technologies on short-term and long-term resistance-related outcomes, measuring the health-sector costs and broader socioeconomic consequences of resistance-related mortality and morbidity, and evaluating vaccines in the context of nonvaccine complements and substitutes.

Indexed as

Drug Resistance, MicrobialAnti-Bacterial AgentsBacterial VaccinesCost-Benefit AnalysisDecision Support TechniquesGonorrheaHealth Care CostsHumansImmunization ProgramsNeisseria gonorrhoeaePneumococcal InfectionsPneumococcal VaccinesResearchSocioeconomic FactorsVaccinationAnti-Bacterial AgentsBacterial VaccinesPneumococcal Vaccinesantimicrobial resistanceeconomic evaluationhealth technology assessmentimmunizationvaccines

Identifiers

PMID30559203
PMCPMC6305008

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.