amarilla_2020_eq5d

4,264 responses from 224 respondents to 5 items.

One of 4 tables from the same source; this one is the eq5d table. The others are listed under Related tables.

About this table

Description5-item EQ-5D health status questionnaire, hip fracture patients followed baseline/1-month/6-month/1-year (wave column), Spain (n=224)
ReferenceAmarilla-Donoso FJ, et al (2020). Quality of life after hip fracture: a 12-month prospective study. PeerJ.
DOI10.7717/peerj.9215
LicenceCC BY 4.0
Source datahttps://europepmc.org/article/PMC/PMC7304420

Size and shape

Responses4,264
Respondents224
Items5
Response categories3
Responses per respondent19.036
Responses per item852.800
Density3.807
LongitudinalTRUE

Classification

age rangeElderly (minimum age >50)
sampleClinical
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)spa

Item text

This table has item text in the IRW: the wording administered to respondents, not just the response codes.

InstrumentEQ-5D (3-level) health status questionnaire
Mean words per item2
Mean characters per item14
Mean characters per response34.533
Flesch-Kincaid grade level16.579

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, amarilla_2020_hip_fracture.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_BASDAT
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 AGE
cov_educationCovariate 0 = No studied · 1 = primary studies · 2 = Secondary · 3 = Universityeducation_level
cov_incomeCovariate 0 = < 500€ · 1 = [500€; 1000€) · 2 = [1000€; 1500€) · 3 = >=1500€INCOME_MONTHLY
cov_marital_statusCovariate 0 = Single · 1 = Married · 2 = Separated · 3 = widowerCIVIL_STATUS
cov_sexCovariate 0 = Man · 1 = FemaleSEX

Covariate value labels are the source’s own, as the IRW recorded them. What item codes and any unlabelled values stand for is in the source’s codebook, peerj-08-9215-s002.docx.

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant 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("amarilla_2020_eq5d")
# Python
pip install irw

import irw
df = irw.fetch("amarilla_2020_eq5d")

How to cite

@article{Amarilla_Donoso_2020, title={Quality of life after hip fracture: a 12-month prospective study}, volume={8}, ISSN={2167-8359}, url={http://dx.doi.org/10.7717/peerj.9215}, DOI={10.7717/peerj.9215}, journal={PeerJ}, publisher={PeerJ}, author={Amarilla-Donoso, Francisco Javier and Roncero-Martin, Raul and Lavado-Garcia, Jesus Maria and Toribio-Felipe, Rosaura and Moran-Garcia, Jose Maria and Lopez-Espuela, Fidel}, year={2020}, month=June, pages={e9215} }

Version and provenance

IRW versionv557
Redivis datasetitem_response_warehouse_4 v13.0
Redivis dataset DOI10.57761/w8zx-td92
Manifest pin for this IRW versionv13.0
Metadata sourceirw_meta v40.0