konerding_2019_patientsatisfaction

13,188 responses from 1,884 respondents to 7 items.

About this table

Description7-item short patient satisfaction questionnaire based on SERVQUAL (6 perception items + 1 overall satisfaction item, 1-7 scale), from a survey of N=1884 diabetes and stroke patients across six European countries.
ReferenceKonerding U, Bowen T, Elkhuizen S, Faubel R, Forte P, Karampli E, et al. (2019) Development of a universal short patient satisfaction questionnaire on the basis of SERVQUAL: Psychometric analyses with data of diabetes and stroke patients from six different European countries. PLoS ONE.
DOI10.1371/journal.pone.0197924
LicenceCC BY 4.0
Source datahttps://doi.org/10.1371/journal.pone.0197924.s001

Size and shape

Responses13,188
Respondents1,884
Items7
Response categories7
Responses per respondent7
Responses per item1,884
Density1
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleClinical
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response

Item text

This table has item text in the IRW: the wording administered to respondents, not just the response codes.

InstrumentUniversal short patient satisfaction questionnaire based on SERVQUAL
Mean words per item9.714
Mean characters per item71.429
Mean characters per response6.061
Flesch-Kincaid grade level12.913

Columns

cov_agecov_conditioncov_countrycov_educationcov_gendercov_masters_main_languagecov_mother_languageiditemresp

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python:

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("konerding_2019_patientsatisfaction")
# Python
pip install irw

import irw
df = irw.fetch("konerding_2019_patientsatisfaction")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse_4 v7.0
Redivis dataset DOI10.57761/cpj5-vm97
Manifest pin for this IRW versionv7.0
Metadata sourceirw_meta v23.0