Evidence map›Paper›PMID 35782720›Full record

ArticleVaccine: X2022

Expanding japanese encephalitis vaccination to selected endemic indonesia provinces: A cost-effectiveness analysis.

Soewarta Kosen, Levina Chandra Khoe, Endang Indriasih, Ingan Tarigan, Retno Widyastuti Iriawan, Rozana Ika Agustiya, G William Letson, Elisabeth Vodicka

Abstract read
In one paragraph

Article in Vaccine: X, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

8 authors.

Soewarta KosenHealth Systems Specialist, Taman Kebon Jeruk W4 No. 34, Jakarta 11630, Indonesia.
Levina Chandra KhoeDepartment of Community Medicine, School of Medicine University of Indonesia, Indonesia.
Endang IndriasihNational Institute of Health Research & Development, Ministry of Health, Indonesia.
Ingan TariganNational Institute of Health Research & Development, Ministry of Health, Indonesia.
Retno Widyastuti IriawanNational Institute of Health Research & Development, Ministry of Health, Indonesia.
Rozana Ika AgustiyaNational Institute of Health Research & Development, Ministry of Health, Indonesia.
G William LetsonProgram Appropriate Technology for Health (PATH), Seattle, USA.
Elisabeth VodickaProgram Appropriate Technology for Health (PATH), Seattle, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: A Markov model was used to evaluate the potential health and economic impact of introducing JE vaccine nationally and in selected endemic areas of Indonesia compared to no vaccination from government and societal perspectives over a child's lifetime horizon. Methods: Costs were obtained from hospitalized JE suspected patient billing data from 2014 to 2019 in seven provinces. Local data burden data were derived from the literature. Analysis considered several scenarios, including national and sub-regional introduction in seven provinces via a one-time vaccination campaign in all children 1-15 years old followed by routine immunization among infants (RI), or RI alone without vaccination campaign. Results and discussions: Across scenarios, JE vaccination was projected to range from cost-saving to cost-effective compared to no vaccination at a willingness-to-pay threshold of 0.5x gross domestic product per capita. Including a one-time campaign would avert nearly three times as many JE cases and deaths compared to RI alone while still providing good value for money.

Indexed as

Cost-effectivenessExpanding JE vaccinationIndonesiaJapanese encephalitis

Identifiers

PMID35782720
PMCPMC9243152

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.