panth_2026_bipq

1,360 responses from 170 respondents to 8 items.

One of 2 tables from the same source; this one measures Brief Illness Perception Questionnaire (B-IPQ). The others are listed under Related tables.

About this table

DescriptionBrief Illness Perception Questionnaire (B-IPQ), 8 items, 0-10 (item 9, open-ended, not deposited), 170 adult cancer patients at Bhaktapur Cancer Hospital, Nepal; cov_ses (Modified Kuppuswamy socio-economic score).
ReferencePanth, S., Panta, S., Cadel, S., et al. (2026). A cross-sectional study on illness perception and resiliency among cancer patients, in Bhaktapur cancer hospital. PLOS ONE, e0356524.
DOI10.1371/journal.pone.0356524
LicenceCC BY 4.0
Source datahttps://journals.plos.org/plosone/article?id=10.1371/journal.pone.0356524

Notes

These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.

Size and shape

Responses1,360
Respondents170
Items8
Response categories11
Responses per respondent8
Responses per item170
Density1
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleClinical
construct typeOpinion/attitude, Physical health/functioning
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)nep
construct nameBrief Illness Perception Questionnaire (B-IPQ)

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, panth_2026_cancer_resilience.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).made in the build script
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script
Respondent covariates
cov_sesCovariate Total SE

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 (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("panth_2026_bipq")
# Python
pip install irw

import irw
df = irw.fetch("panth_2026_bipq")

How to cite

@article{Panth_2026, title={A cross-sectional study on illness perception and resiliency among cancer patients, in Bhaktapur cancer hospital}, volume={21}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0356524}, DOI={10.1371/journal.pone.0356524}, number={9}, journal={PLOS One}, publisher={Public Library of Science (PLoS)}, author={Panth, Pooja and Panta, Abaru and Cadel, Kabita Raj and Baniya, Prajwol}, editor={Sheikh, Taslima}, year={2026}, month=Sept, pages={e0356524} }

Version and provenance

IRW versionv584
Redivis datasetitem_response_warehouse_5 v8.5
Redivis dataset DOI10.57761/41xy-5k56
Manifest pin for this IRW versionv8.5
Metadata sourceirw_meta v44.0