alfort_2023_finger_fx_prom
382,665 responses from 5,504 respondents to 46 items.
About this table
| Description | 46-item hand/arm PROM (Difficulty/Often/Bother item blocks, 1-5 raw), Swedish Fracture Register finger-fracture patients, n=5504, 2 waves (baseline/follow-up) |
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| Reference | Alfort H, et al (2023). Finger fractures: Epidemiology and treatment based on 21341 fractures from the Swedish Fracture register. PLOS ONE. |
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| DOI | 10.1371/journal.pone.0288506 |
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| Licence | CC BY 4.0 |
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| Source data | https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0288506 |
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Size and shape
| Responses | 382,665 |
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| Respondents | 5,504 |
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| Items | 46 |
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| Response categories | 5 |
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| Responses per respondent | 69.525 |
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| Responses per item | 8318.804 |
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| Density | 1.511 |
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| Longitudinal | TRUE |
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Classification
| age range | Mixed |
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| child age (for child-focused studies) | Adolescent (12-18y) |
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| sample | Clinical |
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| measurement tool | Survey/questionnaire |
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| item format | Likert Scale/selected response |
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| primary language(s) | swe |
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Columns
cov_agecov_fingercov_sexiditemrespwave
Get the data
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("alfort_2023_finger_fx_prom")
# Python
pip install irw
import irw
df = irw.fetch("alfort_2023_finger_fx_prom")
Version and provenance
| IRW version | v393 |
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| Redivis dataset | item_response_warehouse_4 v7.0 |
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| Redivis dataset DOI | 10.57761/cpj5-vm97 |
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| Manifest pin for this IRW version | v7.0 |
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| Metadata source | irw_meta v23.0 |
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