Evidence map›Paper›PMID 32991230›Full record

ArticleHuman vaccines & immunotherapeutics2020

Willingness-to-pay for a COVID-19 vaccine and its associated determinants in Indonesia.

Harapan Harapan, Abram L Wagner, Amanda Yufika, Wira Winardi, Samsul Anwar, Alex Kurniawan Gan, Abdul M Setiawan, Yogambigai Rajamoorthy, Hizir Sofyan, Trung Quang Vo and 4 more

Open access · bronzeAbstract read
In one paragraph

Article in Human vaccines & immunotherapeutics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
92citing papers in PubMed, 2 pooled it
16.3field-weighted citation impact, top 1% 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

92 citing papers in PubMed, 2 syntheses or guidelines pooled it, 163 citations in OpenAlex.

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32 more citing papers are in PubMed but not listed here.

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 7 institutions in 6 countries.

Harapan HarapanMedical Research Unit, School of Medicine, Universitas Syiah Kuala , Banda Aceh, Indonesia.ORCID 0000-0001-7630-8413
Abram L WagnerDepartment of Epidemiology, University of Michigan , Ann Arbor, MI, USA.ORCID 0000-0003-4691-7802
Amanda YufikaDepartment of Family Medicine, School of Medicine, Universitas Syiah Kuala , Banda Aceh, Indonesia.
Wira WinardiDepartment of Pulmonology and Respiratory Medicine, School of Medicine, Universitas Syiah Kuala , Banda Aceh, Indonesia.
Samsul AnwarDepartment of Statistics, Faculty of Mathematics and Natural Sciences, Universitas Syiah Kuala , Banda Aceh, Indonesia.ORCID 0000-0003-3165-2151
Alex Kurniawan GanMedical Research Unit, School of Medicine, Universitas Syiah Kuala , Banda Aceh, Indonesia.
Abdul M SetiawanDepartment of Microbiology, Faculty of Medicine and Health Sciences, Maulana Malik Ibrahim State Islamic University of Malang , Malang, Indonesia.
Yogambigai RajamoorthyDepartment of Economics, Faculty of Accountancy and Management, Universiti Tunku Abdul Rahman , Kajang, Malaysia.
Hizir SofyanDepartment of Statistics, Faculty of Mathematics and Natural Sciences, Universitas Syiah Kuala , Banda Aceh, Indonesia.
Trung Quang VoDepartment of Economic and Administrative Pharmacy, Faculty of Pharmacy, Pham Ngoc Thach University of Medicine , Ho Chi Minh City, Vietnam.
Panji Fortuna HadisoemartoDepartment of Public Health, Faculty of Medicine, Padjadjaran University , Sumedang, Indonesia.
Ruth MüllerDepartment Biomedical Sciences, Institute of Tropical Medicine , Antwerp, Belgium.
David A GronebergDepartment of Tropical Medicine and Public Health, The Institute of Occupational, Social and Environmental Medicine, Goethe University , Frankfurt, Germany.
Mudatsir MudatsirMedical Research Unit, School of Medicine, Universitas Syiah Kuala , Banda Aceh, Indonesia.ORCID 0000-0002-5643-9384
Universitas Syiah Kuala · IDGoethe University Frankfurt · DEPadjadjaran University · IDPham Ngoc Thach University of Medicine · VNUniversitas Islam Negeri Maulana Malik Ibrahim · IDUniversiti Tunku Abdul Rahman · MYUniversity of Michigan · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

How countries, particularly low- and middle-income economies, should pay the coronavirus disease 2019 (COVID-19) vaccine is an important and understudied issue. We undertook an online survey to measure the willingness-to-pay (WTP) for a COVID-19 vaccine and its determinants in Indonesia. The WTP was assessed using a simple dichotomous contingent valuation approach and a linear regression model was used to assess its associated determinants. There were 1,359 respondents who completed the survey. In total, 78.3% (1,065) were willing to pay for the COVID-19 vaccine with a mean and median WTP of US$ 57.20 (95%CI: US$ 54.56, US$ 59.85) and US$ 30.94 (95%CI: US$ 30.94, US$ 30.94), respectively. Being a health-care worker, having a high income, and having high perceived risk were associated with higher WTP. These findings suggest that the WTP for a COVID-19 vaccine is relatively high in Indonesia. This WTP information can be used to construct a payment model for a COVID-19 vaccine in the country. Nevertheless, to attain higher vaccine coverage, it may be necessary to partially subsidize the vaccine for those who are less wealthy and to design health promotion materials to increase the perceived risk for COVID-19 in the country.

Indexed as

Patient Acceptance of Health CareSurveys and QuestionnairesAdolescentAdultCOVID-19COVID-19 VaccinesCross-Sectional StudiesFemaleHealth ExpendituresHealth PersonnelHumansIndonesiaMaleMiddle AgedVaccinationYoung AdultCOVID-19 VaccinesCOVID-19indonesiaSARS-CoV-2vaccinationvaccinewillingness-to-pay

Identifiers

PMID32991230
PMCPMC8641577
OpenAlexW3088217049

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.