Evidence map›Paper›PMID 34882179›Full record

ArticleJAMA network open2021

Implementation of State Vaccine Incentive Lottery Programs and Uptake of COVID-19 Vaccinations in the United States.

Binod Acharya, Chandra Dhakal

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in JAMA network open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 3 pooled it
7.0field-weighted citation impact, top 3% 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

36 citing papers in PubMed, 3 syntheses or guidelines pooled it, 68 citations in OpenAlex.

  1. Pooled it
  2. Interventions for COVID-19 Vaccine Hesitancy: A Systematic Review and Narrative Synthesis.International journal of environmental research and public health · 2023
    Pooled it
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  10. Promoting healthy behaviour with financial incentives: three challenges and solutions for large scale implementation.The European journal of health economics : HEPAC : health economics in prevention and care · 2026
    Review
  11. Review
  12. Article
  13. Article
  14. Do COVID-19 Vaccination Policies Backfire? The Effects of Mandates, Vaccination Passports, and Financial Incentives on COVID-19 Vaccination.Perspectives on psychological science : a journal of the Association for Psychological Science · 2024
    Review
  15. Article
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  17. Children, vaccines, and financial incentives.International journal of health economics and management · 2023
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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

2 authors at 2 institutions in 1 country.

Binod AcharyaUrban Health Collaborative, Drexel University, Philadelphia, Pennsylvania.
Chandra DhakalDepartment of Agricultural and Applied Economics, University of Georgia, Athens.
Drexel University · USUniversity of Georgia · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: There is limited evidence on whether COVID-19 vaccine incentive lotteries help to increase vaccine uptake. Objective: To estimate whether and to what extent statewide implementation of lottery programs is associated with COVID-19 vaccine uptake. Design, Setting, and Participants: This cross-sectional study used data from 403 714 adults who answered the question, "have you received a COVID-19 vaccine?" on the Household Pulse Survey (HPS) and state-level daily vaccination rates for 11 states implementing a vaccine lottery program (ie, treated states) and 28 states with no such program (ie, control states). A difference-in-difference (DiD) analysis used responses to the HPS question and compared changes in vaccine uptake between treated and control states. The augmented synthetic control (ASC) analysis compared state-level daily new vaccination rates in treated states with their synthetic versions constructed from a donor pool of control states. Data were analyzed from March 17 to July 5, 2021. Exposures: Announcement of the vaccine lottery programs and states implementing such programs. Main Outcomes and Measures: The outcome variable in the DiD analysis was the binary indicator of self-reported vaccination status. In the ASC analysis, it was the state-level daily new first vaccine dose administered per 100 000 people (logarithm scale). Results: A total of 403 714 individuals (mean [SD] age, 52.7 [15.7] years; 239 563 [weighted percentage, 51.6%] women; 31 746 [weighted percentage, 11.9%] Black; 39 709 [weighted percentage, 18.2%] Hispanic; 334 034 [weighted percentage, 76.4%] White) responded to the question in HPS regarding vaccination status. Overall, 80 949 respondents (weighted percentage, 28.1%) in the HPS were unvaccinated. A pooled analysis from both methods indicated that the lottery programs were associated with increased vaccinations. The ASC analysis revealed that lottery programs were associated with an increase of 0.208 log points (95% CI, 0.004-0.412 log points), implying an average 23.12% increment in the new daily vaccination rate. In state-specific analyses, both methods suggested that the vaccine lottery programs were helpful in Ohio (0.09 log points; P < .001), Maryland (0.26 log points; P < .001), Oregon (0.15 log points; P = .002), and Washington (0.37 log points; P < .001) but not in Arkansas, Kentucky, and West Virginia. The ASC analysis found that lottery programs were positively associated with vaccinations in New Mexico (0.32 log points; P < .001) and New York (0.33 log points; P = .001). Conclusions and Relevance: The findings of this study suggest that lottery programs may be associated with decreased COVID-19 vaccine hesitancy, but that success might differ across states. The findings could also be useful in the ongoing debate on persuading US residents who are not yet vaccinated.

Indexed as

COVID-19COVID-19 VaccinesImmunization ProgramsMotivationPatient Acceptance of Health CareVaccinationVaccination HesitancyAdultAgedCross-Sectional StudiesFemaleGovernment ProgramsHumansMaleMiddle AgedProgram EvaluationCOVID-19 Vaccines

Identifiers

PMID34882179
PMCPMC8662369
OpenAlexW4200508144

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.