17,640 responses from 360 respondents to 49 items.
| Description | Hospice Comfort Questionnaire-Patient (HCQ-P), Chinese version, 49 items, 1-6 Likert, N=360 hospice patients, with demographic/clinical covariates |
|---|---|
| Reference | Xu N, Yan X, Ou X, Ren J, Wan Q. (2025). Adaptation and validation of the Chinese version of the Hospice Comfort Questionnaire-Patient (HCQ-P). PeerJ. |
| DOI | 10.7717/peerj.19562 |
| Licence | CC BY 4.0 |
| Source data | https://peerj.com/articles/19562/ |
| Responses | 17,640 |
|---|---|
| Respondents | 360 |
| Items | 49 |
| Response categories | 6 |
| Responses per respondent | 49 |
| Responses per item | 360 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Clinical |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | chi |
cov_agecov_chemotherapy_historycov_disease_durationcov_educationcov_gendercov_life_educationcov_marital_statuscov_medical_expensescov_occupation_typecov_operation_historycov_radiotherapy_historyiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("xu_2025_hcq_p")
# Python
pip install irw
import irw
df = irw.fetch("xu_2025_hcq_p")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_2 v19.0 |
| Redivis dataset DOI | 10.57761/qtx5-4m80 |
| Manifest pin for this IRW version | v19.0 |
| Metadata source | irw_meta v23.0 |