11,447 responses from 898 respondents to 4 items.
One of 2 tables from the same source; this one measures Overactive Bladder Symptom Score (OABSS). The others are listed under Related tables.
| Description | Overactive Bladder Symptom Score (OABSS), 4 items (0-2, 0-3, 0-5, 0-5), at baseline and up to 60 months after laser prostatectomy; N = 898 patients; cov_age, cov_procedure. |
|---|---|
| Reference | Cho, M. C., et al. (2023). Does preoperative bladder compliance affect long-term functional outcomes after laser prostatectomy? World Journal of Men's Health. https://doi.org/10.5534/wjmh.220081. Data: https://doi.org/10.7910/DVN/ZESEYD |
| DOI | 10.5534/wjmh.220081 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/ZESEYD |
wave is months after surgery (0 = preoperative). 8 out-of-range cells dropped.These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Responses | 11,447 |
|---|---|
| Respondents | 898 |
| Items | 4 |
| Response categories | 6 |
| Responses per respondent | 12.747 |
| Responses per item | 2861.750 |
| Density | 3.187 |
| Longitudinal | TRUE |
| age range | Adult (18+) |
|---|---|
| sample | Clinical |
| construct type | Physical health/functioning |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | kor |
| construct name | Overactive Bladder Symptom Score (OABSS) |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, cho_2023_prostatectomy_ipss.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). | made in the build script |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | made in the build script |
wave | IRW standard Longitudinal wave indicator. | made in the build script |
| Respondent covariates | ||
cov_age | Covariate | Age |
cov_procedure | Covariate | Tx_group_bi |
What item codes and covariate values stand for is in the codebook released with the source data.
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("cho_2023_oabss")
# Python
pip install irw
import irw
df = irw.fetch("cho_2023_oabss")
@article{Yoo_2023, title={Does Preoperative Bladder Compliance Affect Long-Term Functional Outcomes after Laser Prostatectomy?}, volume={41}, ISSN={2287-4690}, url={http://dx.doi.org/10.5534/wjmh.220081}, DOI={10.5534/wjmh.220081}, number={3}, journal={The World Journal of Men’s Health}, publisher={XMLink}, author={Yoo, Sangjun and Jeong, Hyeon and Son, Hwancheol and Oh, Seung-June and Paick, Jae-Seung and Cho, Min Chul}, year={2023}, pages={734} }
| IRW version | v584 |
|---|---|
| Redivis dataset | item_response_warehouse_7 v1.1 |
| Redivis dataset DOI | 10.57761/7pd3-sh31 |
| Manifest pin for this IRW version | v1.0 |
| Metadata source | irw_meta v44.0 |