About this table

Description	EQ-5D-5L descriptive system, 5 items (mobility, self-care, usual activities, pain/discomfort, anxiety/depression), 1-5 (no problems-unable/extreme), 213 Moroccan COVID-19 survivors (55 ICU, 158 non-ICU); cov_sex, cov_age_group, cov_marital, cov_education, cov_employment, cov_residence, cov_ses, comorbidity flags, cov_icu.
Reference	Azizi, A., Achak, D., Saad, E., Hilali, A., Nejjari, C., Youlyouz Marfak, I., & Marfak, A. (2023). EQ-5D-5L data for Moroccan COVID-19 survivors [Data set]. Mendeley Data, V1. https://doi.org/10.17632/kfk5j9g4xc.1
Licence	CC BY 4.0
Source data	https://data.mendeley.com/datasets/kfk5j9g4xc/1

Size and shape

Responses	1,065
Respondents	213
Items	5
Response categories	5
Responses per respondent	5
Responses per item	213
Density	1
Longitudinal	FALSE

Classification

age range	Adult (18+)
sample	Clinical, Targeted/specific
construct type	Affective/mental health, Physical health/functioning
measurement tool	Survey/questionnaire
item format	Likert Scale/selected response
primary language(s)	ara
construct name	EQ-5D-5L descriptive system

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, azizi_2023_eq5d5l.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.

Column	What it is	Source column
IRW standard columns
`id`	IRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task).	`N° participant`
`item`	IRW standard Item identifier.	made in the build script
`resp`	IRW standard Response value.	made in the build script
Respondent covariates
`cov_age_group`	Covariate	`Q2`
`cov_cardiovascular`	Covariate	`Q12`
`cov_diabetes_t1`	Covariate	`Q8`
`cov_diabetes_t2`	Covariate	`Q9`
`cov_education`	Covariate	`Q4`
`cov_employment`	Covariate	`Q5`
`cov_hypertension`	Covariate	`Q10`
`cov_icu`	Covariate	`Q13`
`cov_kidney_disease`	Covariate	`Q11`
`cov_marital`	Covariate	`Q3`
`cov_residence`	Covariate	`Q6`
`cov_ses`	Covariate	`Q7`
`cov_sex`	Covariate	`Q1`

What item codes and covariate values stand for is in the source’s codebook, file_downloaded.

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("azizi_2023_eq5d5l")

# Python
pip install irw

import irw
df = irw.fetch("azizi_2023_eq5d5l")

How to cite

@misc{https://doi.org/10.17632/kfk5j9g4xc.1,
  doi = {10.17632/KFK5J9G4XC.1},
  url = {https://data.mendeley.com/datasets/kfk5j9g4xc/1},
  author = {Azizi, Asmaa and Achak, Doha and Saad, Elmadani and Hilali, Abderraouf and Nejjari, Chakib and Youlyouz Marfak, Ibtissam and Marfak, Abdelghafour},
  keywords = {Infectious Disease, Intensive Care, Quality of Life, Quality of Life Assessment, Severe Acute Respiratory Syndrome Coronavirus, COVID-19},
  title = {EQ-5D-5L data for Moroccan COVID-19 survivors},
  publisher = {Mendeley Data},
  year = {2023}
}

Version and provenance

IRW version	v584
Redivis dataset	item_response_warehouse_5 v8.5
Redivis dataset DOI	10.57761/41xy-5k56
Manifest pin for this IRW version	v8.5
Metadata source	irw_meta v44.0