alfort_2023_finger_fx_prom

382,665 responses from 5,504 respondents to 46 items.

About this table

Description46-item hand/arm PROM (Difficulty/Often/Bother item blocks, 1-5 raw), Swedish Fracture Register finger-fracture patients, n=5504, 2 waves (baseline/follow-up)
ReferenceAlfort H, et al (2023). Finger fractures: Epidemiology and treatment based on 21341 fractures from the Swedish Fracture register. PLOS ONE.
DOI10.1371/journal.pone.0288506
LicenceCC BY 4.0
Source datahttps://journals.plos.org/plosone/article?id=10.1371/journal.pone.0288506

Size and shape

Responses382,665
Respondents5,504
Items46
Response categories5
Responses per respondent69.525
Responses per item8318.804
Density1.511
LongitudinalTRUE

Classification

age rangeMixed
child age (for child-focused studies)Adolescent (12-18y)
sampleClinical
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)swe

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, alfort_2023_finger_fx_prom.py. It is our best reading, not the source’s own codebook, and it may contain mistakes. Where the two disagree, the source data are the authority. If you find an error, please tell us.

ColumnWhat it isSource column
IRW standard columns
idIRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task).ID
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script
waveIRW standard Longitudinal wave indicator.made in the build script
Respondent covariates
cov_ageCovariate Inj_Age
cov_fingerCovariate finger
cov_sexCovariate Inj_Sex

What item codes and covariate values stand for is in the codebook released with the source data.

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python:

# R (no account needed)
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("alfort_2023_finger_fx_prom")
# Python (needs a free Redivis account)
pip install irw

import irw
df = irw.fetch("alfort_2023_finger_fx_prom")

How to cite

@article{Alfort_2023, title={Finger fractures: Epidemiology and treatment based on 21341 fractures from the Swedish Fracture register}, volume={18}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0288506}, DOI={10.1371/journal.pone.0288506}, number={7}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Alfort, Henrik and Von Kieseritzky, Johanna and Wilcke, Maria}, editor={Migliorini, Filippo}, year={2023}, month=July, pages={e0288506} }

Version and provenance

IRW versionv540
Redivis datasetitem_response_warehouse_4 v13.0
Redivis dataset DOI10.57761/w8zx-td92
Manifest pin for this IRW versionv13.0
Metadata sourceirw_meta v37.0