Evidence map›Paper›PMID 39475719›Full record

ArticleJMIR formative research2024

An Online Tailored COVID-19 Vaccination Decision Aid for Dutch Citizens: Development, Dissemination, and Use.

Katharina Preuhs, Daphne Bussink-Voorend, Hilde M van Keulen, Ilona Wildeman, Jeannine Hautvast, Marlies Hulscher, Pepijn van Empelen

Abstract read
In one paragraph

Article in JMIR formative research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Trial
  2. Article
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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

7 authors.

Katharina PreuhsNetherlands Organization for Applied Scientific Research (TNO), Expertise Group Child Health, Leiden, Netherlands.ORCID 0000-0002-3570-9509
Daphne Bussink-VoorendRadboud University Medical Center, Radboud Institute for Health Sciences, Primary and Community Care, Nijmegen, Netherlands.ORCID 0000-0002-9873-1404
Hilde M van KeulenNetherlands Organization for Applied Scientific Research (TNO), Expertise Group Child Health, Leiden, Netherlands.ORCID 0000-0002-8194-3478
Ilona WildemanNetherlands Organization for Applied Scientific Research (TNO), Expertise Group Child Health, Leiden, Netherlands.ORCID 0000-0002-0145-9759
Jeannine HautvastRadboud University Medical Center, Radboud Institute for Health Sciences, Primary and Community Care, Nijmegen, Netherlands.ORCID 0000-0003-4159-7352
Marlies HulscherRadboud University Medical Center, IQ Health Science Department (IQ Health), Nijmegen, Netherlands.ORCID 0000-0002-2160-4810
Pepijn van EmpelenNetherlands Organization for Applied Scientific Research (TNO), Expertise Group Child Health, Leiden, Netherlands.ORCID 0000-0002-9809-7650

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSince December 2019, COVID-19 led to a pandemic causing many hospitalizations and deaths. Vaccinations were developed and introduced to control viral transmission. In the Dutch context, the decision to accept vaccination is not mandatory. An informed decision is based on sufficient and reliable information, in line with one's attitudes and values, and with consideration of pros and cons. To support people in informed decision-making, we developed an online COVID-19 vaccination decision aid (DA).

objectiveThis article aims to describe the development, dissemination, and use of the DA.

methodsBuilding on a previously developed DA, the COVID-19 vaccination DA was developed in 3 phases following a user-centered design approach: (1) definition phase, (2) concept testing, and (3) prototype testing. End users, individuals with low literacy, and experts (with relevant expertise on medical, behavioral, and low literacy aspects) were involved in the iterative development, design, and testing, with their feedback forming the basis for adaptations to the DA.

resultsThe DA was developed within 14 weeks. The DA consists of 3 modules, namely, Provide Information, Support Decision-Making, and Facilitate Actions Following a Decision. These modules are translated into various information tiles and diverse functionalities such as a knowledge test, a value clarification tool using a decisional balance, and a communication tool. The DA was disseminated for use in May 2021. Users varied greatly regarding age, gender, and location in the Netherlands.

conclusionsThis paper elaborates on the development of the COVID-19 vaccination DA in a brief period and its dissemination for use among Dutch adults in the Netherlands. The evaluation of use showed that we were able to reach a large proportion and variety of people throughout the Netherlands.

Indexed as

COVID-19COVID-19 VaccinesDecision Support TechniquesAdultDecision MakingFemaleHumansInternetMaleMiddle AgedNetherlandsVaccinationCOVID-19 VaccinesCOVID-19COVID-19 vaccinationeHealthinformed decision-makinglow literacytailored decision aiduser-centered design

Identifiers

PMID39475719
PMCPMC11561438

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.