Evidence map›Paper›PMID 38598091›Full record

SynthesisApplied health economics and health policy2024

Economic Evaluation of COVID-19 Immunization Strategies: A Systematic Review and Narrative Synthesis.

Enxue Chang, Haofei Li, Wanji Zheng, Lan Zhou, Yanni Jia, Wen Gu, Yiyin Cao, Xiaoying Zhu, Juan Xu, Bo Liu and 4 more

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Applied health economics and health policy, 2024. 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
1.6field-weighted citation impact, top 19% of its field
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, 4 citations in OpenAlex.

  1. Review
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

14 authors at 5 institutions in 2 countries.

Enxue Chang *School of Health Management, Harbin Medical University, Harbin, China.
Haofei Li *School of Health Management, Harbin Medical University, Harbin, China.
Wanji Zheng *School of Health Management, Harbin Medical University, Harbin, China.
Lan ZhouSchool of Health Management, Harbin Medical University, Harbin, China.
Yanni JiaSchool of Health Management, Harbin Medical University, Harbin, China.
Wen GuSchool of Health Management, Harbin Medical University, Harbin, China.
Yiyin CaoSchool of Health Management, Harbin Medical University, Harbin, China.
Xiaoying ZhuSchool of Elderly Care Services and Management, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China. zhuxymh@gmail.com.
Juan XuCancer Hospital Chinese Academy of Medical Sciences, Shenzhen Center, Shenzhen, China.
Bo LiuShenzhen Health Capacity Building and Continuing Education Center, Shenzhen, China.
Mao YouNational Health Development Research Center, Beijing, 100191, China.
Kejun LiuNational Health Development Research Center, Beijing, 100191, China. lkj@nhei.cn.
Mingsi WangSchool of Health Management, Harbin Medical University, Harbin, China. wangmingsi@hrbmu.edu.cn.
Weidong HuangSchool of Health Management, Harbin Medical University, Harbin, China. weidong218@126.com.ORCID 0009-0008-9580-6862
Harbin Medical University · CNChina National Health Development Research Center · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNNanjing University of Chinese Medicine · CNShenzhen University Health Science Center · CN

Funding

National Natural Science Foundation of China-Nuclear Technology Innovation Joint Fund L212012
6 · The paper itself

Abstract

objectivesThis study aimed to systematically assess global economic evaluation studies on COVID-19 vaccination, offer valuable insights for future economic evaluations, and assist policymakers in making evidence-based decisions regarding the implementation of COVID-19 vaccination.

methodsSearches were performed from January 2020 to September 2023 across seven English databases (PubMed, Web of Science, MEDLINE, EBSCO, KCL-Korean Journal Dataset, SciELO Citation Index, and Derwent Innovations Index) and three Chinese databases (Wanfang Data, China Science and Technology Journal, and CNKI). Rigorous inclusion and exclusion criteria were applied. Data were extracted from eligible studies using a standardized data collection form, with the reporting quality of these studies assessed using the Consolidated Health Economic Evaluation Reporting Standards 2022 (CHEERS 2022).

resultsOf the 40 studies included in the final review, the overall reporting quality was good, evidenced by a mean score of 22.6 (ranging from 10.5 to 28). Given the significant heterogeneity in fundamental aspects among the studies reviewed, a narrative synthesis was conducted. Most of these studies adopted a health system or societal perspective. They predominantly utilized a composite model, merging dynamic and static methods, within short to medium-term time horizons to simulate various vaccination strategies. The research strategies varied among studies, investigating different doses, dosages, brands, mechanisms, efficacies, vaccination coverage rates, deployment speeds, and priority target groups. Three pivotal parameters notably influenced the evaluation results: the vaccine's effectiveness, its cost, and the basic reproductive number (R

conclusionsThe current review confirmed that COVID-19 vaccination is a cost-effective alternative in preventing and controlling COVID-19. In addition, it highlights the profound impact of variables such as dose size, target population, vaccine efficacy, speed of vaccination, and diversity of vaccine brands and mechanisms on cost effectiveness, and also proposes practical and effective strategies for improving COVID-19 vaccination campaigns from the perspective of economic evaluation.

Indexed as

Cost-Benefit AnalysisCOVID-19COVID-19 VaccinesSARS-CoV-2HumansImmunization ProgramsVaccinationCOVID-19 Vaccines

Identifiers

PMID38598091
OpenAlexW4394681736

What Socratic 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 Socratic graph.