nguyen_2026_barthel

3,940 responses from 394 respondents to 10 items.

One of 5 tables from the same source; this one measures Activities of daily living / functional independence (Barthel Index). The others are listed under Related tables.

About this table

DescriptionBarthel Index: 10 activities-of-daily-living items measured 48 hours after surgery. 394 women undergoing gynecologic surgery in Hanoi, Vietnam; ages 15–77. 3,940 responses; deposited weighted item scores use 0,5,10,15 with differing item maxima.
ReferenceVan Bich Nguyen (2026). Dataset for the Study "Preoperative Anxiety and Early Postoperative Recovery Among Women Undergoing Gynecologic Surgery in Vietnam" (Version 1) [Data set]. Harvard Dataverse. https://doi.org/10.7910/DVN/X2C2PL
DOI10.7910/DVN/X2C2PL
LicenceCC0 1.0
Source datahttps://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/X2C2PL&version=1.0

Size and shape

Responses3,940
Respondents394
Items10
Response categories4
Responses per respondent10
Responses per item394
Density1
LongitudinalFALSE

Classification

age rangeMixed
child age (for child-focused studies)Adolescent (12-18y)
sampleClinical
construct typePhysical health/functioning
item formatLikert Scale/selected response
primary language(s)vie
construct nameActivities of daily living / functional independence (Barthel Index)

Codebook

This codebook is reconstructed by the IRW from the IRW data standard. 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).not traced
itemIRW standard Item identifier.not traced
respIRW standard Response value.not traced

What item codes and covariate values stand for is in the source’s codebook, codes (sheet in gycosurganx_data_censored.xlsx).

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("nguyen_2026_barthel")
# Python
pip install irw

import irw
df = irw.fetch("nguyen_2026_barthel")

How to cite

@misc{Nguyen2026GynecologicSurgery,
  author = {{Van Bich Nguyen}},
  title = {Dataset for the Study "Preoperative Anxiety and Early Postoperative Recovery Among Women Undergoing Gynecologic Surgery in Vietnam"},
  year = {2026},
  publisher = {Harvard Dataverse},
  version = {1},
  doi = {10.7910/DVN/X2C2PL},
  url = {https://doi.org/10.7910/DVN/X2C2PL}
}

Version and provenance

IRW versionv584
Redivis datasetitem_response_warehouse_4 v13.0
Redivis dataset DOI10.57761/w8zx-td92
Manifest pin for this IRW versionv13.0
Metadata sourceirw_meta v44.0