dussel_2022_hads14

10,920 responses from 780 respondents to 14 items.

One of 2 tables from the same source; this one is the hads14 table. The others are listed under Related tables.

About this table

Description14-item Hospital Anxiety and Depression Scale (HADS-14, 0-3 scale, anxiety and depression subscales combined), from a survey of N=780 French hospital workers during the first COVID-19 wave.
Referenced'Ussel M, Fels A, Durand X, Lemogne C, Chatellier G, Castreau N, Adam F (2022) Factors associated with psychological symptoms in hospital workers of a French hospital during the COVID-19 pandemic: Lessons from the first wave. PLoS ONE.
DOI10.1371/journal.pone.0267032
LicenceCC BY 4.0
Source datahttps://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0267032.s003

Size and shape

Responses10,920
Respondents780
Items14
Response categories4
Responses per respondent14
Responses per item780
Density1
LongitudinalFALSE

Classification

sampleWorkplace
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)fre

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, dussel_2022_hospital_covid.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
Respondent covariates
cov_ageCovariate age
cov_genderCovariate gender
cov_professionCovariate profession
cov_work_locationCovariate work location

What item codes and covariate values stand for is in the source’s questionnaire, S1_Appendix.docx, which shows the item wording.

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("dussel_2022_hads14")
# Python
pip install irw

import irw
df = irw.fetch("dussel_2022_hads14")

How to cite

@article{d_Ussel_2022, title={Factors associated with psychological symptoms in hospital workers of a French hospital during the COVID-19 pandemic: Lessons from the first wave}, volume={17}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0267032}, DOI={10.1371/journal.pone.0267032}, number={4}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={d’Ussel, M. and Fels, A. and Durand, X. and Lemogne, C. and Chatellier, G. and Castreau, N. and Adam, F.}, editor={Knežević, Goran}, year={2022}, month=Apr, pages={e0267032} }

Version and provenance

IRW versionv549
Redivis datasetitem_response_warehouse_4 v13.0
Redivis dataset DOI10.57761/w8zx-td92
Manifest pin for this IRW versionv13.0
Metadata sourceirw_meta v39.0