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The impact of vaccination and patient characteristics on influenza vaccination uptake of elderly people: A discrete choice experiment
Erasmus Univ, Sect Hlth Technol Assessment, POB 1738, NL-3000 DR Rotterdam, Netherlands.;Erasmus Univ, Inst Hlth Policy & Management, Erasmus Choice Modelling Ctr, Rotterdam, Netherlands.;Erasmus MC Univ Med Ctr, Sect Med Decis Making, Rotterdam, Netherlands.;Erasmus MC Univ Med Ctr, Dept Publ Hlth, Erasmus Choice Modelling Ctr, Rotterdam, Netherlands..
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Public Health and Caring Sciences, Centre for Research Ethics and Bioethics. Erasmus Univ, Sect Hlth Technol Assessment, POB 1738, NL-3000 DR Rotterdam, Netherlands.;Erasmus Univ, Inst Hlth Policy & Management, Erasmus Choice Modelling Ctr, Rotterdam, Netherlands.
Erasmus Univ, Sect Hlth Technol Assessment, POB 1738, NL-3000 DR Rotterdam, Netherlands.;Erasmus Univ, Inst Hlth Policy & Management, Erasmus Choice Modelling Ctr, Rotterdam, Netherlands..
Erasmus Univ, Dept Business Econ, Rotterdam, Netherlands.;Erasmus Univ, Erasmus Sch Econ, Erasmus Choice Modelling Ctr, Rotterdam, Netherlands..
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2018 (English)In: Vaccine, ISSN 0264-410X, E-ISSN 1873-2518, Vol. 36, no 11, p. 1467-1476Article in journal (Refereed) Published
Abstract [en]

Objectives: To improve information for patients and to facilitate a vaccination coverage that is in line with the EU and World Health Organization goals, we aimed to quantify how vaccination and patient characteristics impact on influenza vaccination uptake of elderly people.

Methods: An online discrete choice experiment (DCE) was conducted among 1261 representatives of the Dutch general population aged 60 years or older. In the DCE, we used influenza vaccination scenarios based on five vaccination characteristics: effectiveness, risk of severe side effects, risk of mild side effects, protection duration, and absorption time. A heteroscedastic multinomial logit model was used, taking scale and preference heterogeneity (based on 19 patient characteristics) into account.

Results: Vaccination and patient characteristics both contributed to explain influenza vaccination uptake. Assuming a base case respondent and a realistic vaccination scenario, the predicted uptake was 58%. One-way changes in vaccination characteristics and patient characteristics changed this uptake from 46% up to 61% and from 37% up to 95%, respectively. The strongest impact on vaccination uptake was whether the patient had been vaccinated last year, whether s/he had experienced vaccination side effects, and the patient's general attitude towards vaccination.

Conclusions: Although vaccination characteristics proved to influence influenza vaccination uptake, certain patient characteristics had an even higher impact on influenza vaccination uptake. Policy makers and general practitioners can use these insights to improve their communication plans and information regarding influenza vaccination for individuals aged 60 years or older. For instance, physicians should focus more on patients who had experienced side effects due to vaccination in the past, and policy makers should tailor the standard information folder to patients who had been vaccinated last year and to patient who had not.

Place, publisher, year, edition, pages
2018. Vol. 36, no 11, p. 1467-1476
Keywords [en]
Influenza vaccination, Vaccination characteristics, Patient characteristics, Discrete choice experiment, Vaccination uptake
National Category
Public Health, Global Health, Social Medicine and Epidemiology
Identifiers
URN: urn:nbn:se:uu:diva-350621DOI: 10.1016/j.vaccine.2018.01.054ISI: 000427212900020PubMedID: 29426662OAI: oai:DiVA.org:uu-350621DiVA, id: diva2:1209309
Available from: 2018-05-22 Created: 2018-05-22 Last updated: 2018-05-22Bibliographically approved

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Veldwijk, Jorien

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