7,238 responses from 329 respondents to 22 items.
| Description | Maslach Burnout Inventory-Human Services Survey for Medical Personnel, 22 items scored 0 (never) to 6 (every day), allied health professionals at a Singapore tertiary hospital, surveyed 2019. 7,238 responses from 329 respondents on 22 items. |
|---|---|
| Reference | Teo, Y. H.; Xu, J. T. K.; Ho, C.; Leong, J. M.; Tan, B. K. J.; Tan, E. K. H.; Goh, W.; Neo, E.; Chua, J. Y. J.; Ng, S. J. Y.; Cheong, J. J. Y.; Hwang, J. Y.; Lim, S. M.; Soo, T.; Sng, J. G. K.; Yi, S. (2021). Factors associated with self-reported burnout level in allied healthcare professionals in a tertiary hospital in Singapore. PLOS ONE, 16(1), e0244338. https://doi.org/10.1371/journal.pone.0244338 |
| DOI | 10.1371/journal.pone.0244338 |
| Licence | CC BY 4.0 |
| Source data | https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0244338 |
| Responses | 7,238 |
|---|---|
| Respondents | 329 |
| Items | 22 |
| Response categories | 7 |
| Responses per respondent | 22 |
| Responses per item | 329 |
| Density | 1 |
| Longitudinal | FALSE |
cov_age_bandcov_caregivercov_earningscov_employmentcov_ethnicitycov_gendercov_hospitalcov_mental_helpcov_mental_illnesscov_night_shiftscov_occupationcov_physical_activitycov_positioncov_residencycov_years_experienceiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("teo_2021_burnout")
# Python
pip install irw
import irw
df = irw.fetch("teo_2021_burnout")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_5 v4.0 |
| Redivis dataset DOI | 10.57761/yvjw-0981 |
| Manifest pin for this IRW version | v4.0 |
| Metadata source | irw_meta v23.0 |