About this table

Description	Cognitive load, 6 items, 1-7, Chinese clinicians using a CDSS. 222 respondents x 6 items = 1332 responses.
Reference	Cao, M., Luo, J., & Zhang, Q. (2026). The Double-Edged Effect of Interaction in Clinical Decision Support Systems: Cognitive Load, Perceived Autonomy, and Physicians' Intention to Use [Data set]. figshare. https://doi.org/10.6084/m9.figshare.33204345.v2
Licence	CC BY 4.0
Source data	https://doi.org/10.6084/m9.figshare.33204345.v2

Size and shape

Responses	1,332
Respondents	222
Items	6
Response categories	7
Responses per respondent	6
Responses per item	222
Density	1
Longitudinal	FALSE

Classification

sample	Workplace
measurement tool	Survey/questionnaire
item format	Likert Scale/selected response
primary language(s)	chi

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, cao_2026_cdss.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
`treat`	IRW standard Treatment group assignment in experimental studies.	made in the build script
Respondent covariates
`cov_age_band`	Covariate	`Age`
`cov_education`	Covariate	`Education`
`cov_gender`	Covariate	`Gender`
`cov_professional_rank`	Covariate	`Professional rank`

What item codes and covariate values stand for is in the codebook released with the source data.

Get the data

Download CSVno account needed Browse on Redivisexplore and query Croissant 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("cao_2026_cdss_cognitive_load")

# Python
pip install irw

import irw
df = irw.fetch("cao_2026_cdss_cognitive_load")

How to cite

@misc{https://doi.org/10.6084/m9.figshare.33204345,
  doi = {10.6084/M9.FIGSHARE.33204345},
  url = {https://figshare.com/articles/dataset/The_Double-Edged_Effect_of_Interaction_in_Clinical_Decision_Support_Systems_Cognitive_Load_Perceived_Autonomy_and_Physicians_Intention_to_Use/33204345},
  author = {cao, mukun and Luo, Jian and Zhang, Qiwei and Li, Bing},
  keywords = {Digital health, Health informatics and information systems, Health systems},
  title = {The Double-Edged Effect of Interaction in Clinical Decision Support Systems: Cognitive Load, Perceived Autonomy, and Physicians’ Intention to Use},
  publisher = {figshare},
  year = {2026},
  copyright = {Creative Commons Attribution 4.0 International}
}

Version and provenance

IRW version	v566
Redivis dataset	item_response_warehouse_4 v13.0
Redivis dataset DOI	10.57761/w8zx-td92
Manifest pin for this IRW version	v13.0
Metadata source	irw_meta v43.0

cao_2026_cdss_cognitive_load