amarilla_2020_eq5d
4,264 responses from 224 respondents to 5 items.
About this table
| Description | 5-item EQ-5D health status questionnaire, hip fracture patients followed baseline/1-month/6-month/1-year (wave column), Spain (n=224) |
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| Reference | Amarilla-Donoso FJ, et al (2020). Quality of life after hip fracture: a 12-month prospective study. PeerJ. |
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| DOI | 10.7717/peerj.9215 |
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| Licence | CC BY 4.0 |
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| Source data | https://europepmc.org/article/PMC/PMC7304420 |
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Size and shape
| Responses | 4,264 |
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| Respondents | 224 |
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| Items | 5 |
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| Response categories | 3 |
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| Responses per respondent | 19.036 |
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| Responses per item | 852.800 |
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| Density | 3.807 |
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| Longitudinal | TRUE |
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Classification
| age range | Elderly (minimum age >50) |
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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) | spa |
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Item text
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | EQ-5D (3-level) health status questionnaire |
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| Mean words per item | 2 |
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| Mean characters per item | 14 |
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| Mean characters per response | 34.533 |
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| Flesch-Kincaid grade level | 16.579 |
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Columns
cov_agecov_educationcov_incomecov_marital_statuscov_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("amarilla_2020_eq5d")
# Python
pip install irw
import irw
df = irw.fetch("amarilla_2020_eq5d")
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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