10,456 rated or chosen profiles from 1,307 respondents, in up to 4 tasks of 2 profiles varying on 4 attributes.

One of 2 tables from the same source; this one is the be table. The others are listed under Related tables.

About this table

Description	1,307 adults in Belgium (YouGov web panel, July-August 2022) chose which of two fictitious patients should be prioritised for publicly funded care in 4 tasks, varying nationality (Belgian, Danish, Italian, Bulgarian), migration status, responsibility for ill health and employment status; the chosen patient was also rated 0-10.
Reference	Perna, R., & Umpierrez de Reguero, S. (2025). Intra-EU migration and healthcare deservingness: A conjoint experiment in Belgium and Spain. Social Science & Medicine, 367, 117714.
DOI	10.1016/j.socscimed.2025.117714
Licence	CC BY 4.0
Source data	https://doi.org/10.5281/zenodo.13144054

Notes

Conjoint table (irw_conjoint). choice: which of two patients the respondent would prioritise to be visited today, forced, no opt-out; rating: 0 (not at all) - 10 (totally) how probable it is they would prioritise the chosen patient, asked of the chosen patient only. Codebook English labels; profile inferred from row order. One corrupt respondent dropped.

These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.

Size and shape

Respondents	1,307
Rows (one per respondent, task and profile)	10,456
Tasks per respondent (most)	4
Profiles per task	2
Attributes	4
Tasks with no profile chosen	0

Design

Topic	health covid
A profile represents	person
Country	BE
Language shown	unknown
Language of stored levels	en
Task order	recorded in the deposit
Profile position	inferred from row order

Task order or profile position was rebuilt from row order; analyses of position or task order should leave it out.

Outcomes:

choice	Among these two patients, which one would you prioritise to be visited today? (translated) [choice, forced]
rating	On a scale from 0 to 10, how probable is that you will prioritise this patient over the other? (translated) [rating, 0 (Not at all) to 10 (Totally)]

Columns

attr_employment_statusattr_migration_statusattr_nationalityattr_responsibility_illnesschoicecov_age_groupcov_citizenshipcov_educationcov_gendercov_regionidprofileratingtasktrial_time_sec

The layout (one row per respondent, task and profile; choice/rating outcomes; attr_ columns holding each attribute level as displayed) is defined in the IRW conjoint standard. What the outcomes asked is under Design above.

Get the data

Download CSVno account needed Browse on Redivisexplore and query Croissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("perna_2025_healthcare_be", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("perna_2025_healthcare_be", source="conj")

How to cite

@article{Perna_2025, title={Intra-EU migration and healthcare deservingness: A conjoint experiment in Belgium and Spain}, volume={367}, ISSN={0277-9536}, url={http://dx.doi.org/10.1016/j.socscimed.2025.117714}, DOI={10.1016/j.socscimed.2025.117714}, journal={Social Science &amp; Medicine}, publisher={Elsevier BV}, author={Perna, Roberta and Umpierrez de Reguero, Sebastián}, year={2025}, month=Feb, pages={117714} }

Version and provenance

IRW version	v584
Redivis dataset	irw_conjoint v4.2
Redivis dataset DOI	10.57761/qkye-q530
Manifest pin for this IRW version	v4.2
Metadata source	irw_meta v44.0