Literature DB >> 30857931

Drivers of vaccine decision-making in South Africa: A discrete choice experiment.

Frederik Verelst1, Roselinde Kessels2, Wim Delva3, Philippe Beutels4, Lander Willem5.   

Abstract

To increase vaccination coverage, it is essential to understand the vaccine decision-making process. High population coverage is required to obtain herd immunity and to protect vulnerable groups in terms of age (e.g. the very young) or health (e.g. immunodeficiency). Vaccine confidence and coverage in South Africa are relatively low, opening the window for sustained outbreaks of vaccine-preventable diseases in a country facing one of the most severe HIV epidemics in the world. To capture the vaccine-related decision-making process in South Africa, we performed a discrete choice experiment with 1200 participants in December 2017. We asked for their preferences with respect to (1) vaccine effectiveness, (2) vaccine-preventable burden of disease, (3) accessibility of the vaccine in terms of co-payment and prescription requirements, (4) frequency of mild vaccine-related side-effects, (5) population vaccination coverage and (6) local vaccination coverage. We distinguished between decision-making for vaccines administered to the participant, and for vaccines administered to their youngest child. We analyzed the data for each of these groups using a panel mixed logit model and found similar results for decisions to vaccinate oneself or one's child. Vaccine effectiveness was the most important attribute followed by population coverage and burden of disease. Local coverage and accessibility were also important determinants of vaccination behavior, but to a lesser extent. Regarding population and local coverage, we observed a positive effect on vaccine utility indicating the potential of peer influence. As such, social normative influence could be exploited to increase vaccination confidence and coverage. With respect to vaccine-preventable burden of the disease, the marginal utilities showed disease severity to be more important than frequency of disease. Policymakers and health care workers should stress the effectiveness of vaccines together with the severity of vaccine-preventable diseases.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Behavior; Decision-making criteria; Discrete choice experiment; Free-riding; South Africa; Vaccination

Mesh:

Substances:

Year:  2019        PMID: 30857931     DOI: 10.1016/j.vaccine.2019.02.056

Source DB:  PubMed          Journal:  Vaccine        ISSN: 0264-410X            Impact factor:   3.641


  8 in total

1.  Immediate and informative feedback during a pandemic: Using stated preference analysis to predict vaccine uptake rates.

Authors:  William F Vásquez; Jennifer M Trudeau; Jessica Alicea-Planas
Journal:  Health Econ       Date:  2021-09-24       Impact factor: 2.395

2.  What drives willingness to receive a new vaccine that prevents an emerging infectious disease? A discrete choice experiment among university students in Uganda.

Authors:  Kimberly E Bonner; Henry Ssekyanzi; Jonathan Sicsic; Judith E Mueller; Traci Toomey; Angela K Ulrich; Keith J Horvath; James D Neaton; Cecily Banura; Nicole E Basta
Journal:  PLoS One       Date:  2022-05-19       Impact factor: 3.752

3.  COVID-19 vaccine hesitancy: a social media analysis using deep learning.

Authors:  Serge Nyawa; Dieudonné Tchuente; Samuel Fosso-Wamba
Journal:  Ann Oper Res       Date:  2022-06-16       Impact factor: 4.820

4.  Impact of Recommended Maternal Vaccination Programs on the Clinical Presentation of SARS-CoV-2 Infection: A Prospective Observational Study.

Authors:  Maria Luisa de la Cruz Conty; Maria Begoña Encinas Pardilla; Marta Garcia Sanchez; Laura Gonzalez Rodriguez; Marta Luisa Muner-Hernando; Ana Royuela Vicente; Pilar Pintado Recarte; Alicia Martinez Varea; Clara Martinez Diago; Sara Cruz Melguizo; Oscar Martinez-Perez
Journal:  Vaccines (Basel)       Date:  2021-01-08

5.  An (un)healthy social dilemma: a normative messaging field experiment with flu vaccinations.

Authors:  Irene Mussio; Angela C M de Oliveira
Journal:  Health Econ Rev       Date:  2022-08-02

6.  Enablers and barriers to COVID-19 vaccine uptake: An international study of perceptions and intentions.

Authors:  Paul F Burke; Daniel Masters; Graham Massey
Journal:  Vaccine       Date:  2021-07-23       Impact factor: 3.641

7.  Current tools available for investigating vaccine hesitancy: a scoping review protocol.

Authors:  Elizabeth O Oduwole; Elizabeth D Pienaar; Hassan Mahomed; Charles Shey Wiysonge
Journal:  BMJ Open       Date:  2019-12-11       Impact factor: 2.692

8.  No Such Thing as a Free-Rider? Understanding Drivers of Childhood and Adult Vaccination through a Multicountry Discrete Choice Experiment.

Authors:  Frederik Verelst; Roselinde Kessels; Lander Willem; Philippe Beutels
Journal:  Vaccines (Basel)       Date:  2021-03-16
  8 in total

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