4,040 responses from 245 respondents to 10 items.
| Description | PORTRAIT-10 complex-health-care-needs tool, 10 items (0-4 Likert), administered at baseline and follow-up (wave), N=245 French-speaking chronic pain patients |
|---|---|
| Reference | Pagé MG, Tremblay N, Ghoussoub K, Hudon C, Chouinard MC, Choinière M (2025). Reliability and validity of the PORTRAIT-10 tool for assessing complex health care needs in French-speaking people living with chronic pain. PLOS ONE. https://doi.org/10.1371/journal.pone.0335734 |
| DOI | 10.1371/journal.pone.0335734 |
| Licence | CC BY 4.0 |
| Source data | https://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0335734.s002 |
| Responses | 4,040 |
|---|---|
| Respondents | 245 |
| Items | 10 |
| Response categories | 5 |
| Responses per respondent | 16.490 |
| Responses per item | 404 |
| Density | 1.649 |
| Longitudinal | TRUE |
| sample | Clinical, Internet-based |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | fre |
iditemrespwave
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("page_2025_portrait10")
# Python
pip install irw
import irw
df = irw.fetch("page_2025_portrait10")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_3 v7.0 |
| Redivis dataset DOI | 10.57761/pqqn-pm43 |
| Manifest pin for this IRW version | v7.0 |
| Metadata source | irw_meta v23.0 |