2,453 rated or chosen profiles from 510 respondents, in up to 5 tasks of 1 profile varying on 7 attributes.
One of 2 tables from the same source; this one is the start table. The others are listed under Related tables.
| Description | Physicians and ECLS staff in Germany and Switzerland (2019; 510 respondents as deposited, article analyses 420 physicians) rated 5 text vignettes each of patients who might start extracorporeal life support (ECMO), varying age, circuit, costs, therapeutic goal, resources, comorbidities and neurological outcome: 1-6 agreement that ECLS should be used (own view) and would be used in their clinic. |
|---|---|
| Reference | Drewniak, D., Brandi, G., Buehler, P. K., Steiger, P., Hagenbuch, N., Stamm-Balderjahn, S., Schenk, L., Rosca, A., & Krones, T. (2022). Key factors in decision making for ECLS: A binational factorial survey. Medical Decision Making, 42(3), 313-325. |
| DOI | 10.1177/0272989X211040815 |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.5281/zenodo.6805813 |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 510 |
|---|---|
| Rows (one per respondent, task and profile) | 2,453 |
| Tasks per respondent (most) | 5 |
| Profiles per task | 1 |
| Attributes | 7 |
| Topic | health covid |
|---|---|
| A profile represents | person |
| Country | DE, CH |
| Language shown | de, fr, it |
| Language of stored levels | en |
| Randomization restrictions | yes (stated by the source): fixed blocked D-efficient design (120 vignettes in 24 decks of 5); 80- and 90-year-old patients never bridged to transplant, so transplant goal and those ages are less frequent; 5 age levels |
| Task order | unknown |
| Profile position | recorded in the deposit |
Because the attribute levels were not randomized independently, an estimator has to account for the restriction; a plain difference in means across levels can mislead.
Outcomes:
| rating_clinic | In my clinic, ECLS/ECLS would be used in this patient (translated) [rating, 1 (not correct at all) to 6 (fully correct)] |
|---|---|
| rating_self | From my point of view, ECLS/ECMO should be used in this patient (translated) [rating, 1 (not correct at all) to 6 (fully correct)] |
attr_ageattr_circuitattr_comorbiditiesattr_costsattr_goalattr_neurologicalattr_resourcescov_agecov_berufserfcov_careercov_clinic_groupcov_countkardcov_countpulcov_countrycov_desc1cov_desc2cov_desc3cov_desc4cov_edu1cov_edu10cov_edu11cov_edu2cov_edu3cov_edu4cov_edu5cov_edu6cov_edu7cov_edu8cov_edu9cov_erwkardcov_erwpulcov_expericov_fach1cov_fach10cov_fach11cov_fach12cov_fach13cov_fach14cov_fach15cov_fach16cov_fach17cov_fach18cov_fach19cov_fach2cov_fach20cov_fach3cov_fach4cov_fach5cov_fach6cov_fach7cov_fach8cov_fach9cov_finishedcov_gendercov_guide1cov_guide2cov_guide3cov_guide4cov_guide5cov_guideahacov_guideamwfcov_guideberlincov_guidecardioshockcov_guidedgkcov_guidedgthgcov_guideeclscov_guideecprcov_guideelsocov_guideerccov_guideesccov_guideheartsurgcov_guideishltcov_guideultracov_idea1cov_idea2cov_idea3cov_idea4cov_influ1cov_influ2cov_influ3cov_paedkardcov_paedpulcov_timekardcov_timepulcov_titelcov_usercov_workidprofilerating_clinicrating_selftasktrial_decktrial_statement_ordertrial_vignette
The layout (one row per respondent, task and profile; choice/rating outcomes; attr_ columns holding each attribute level as displayed) is defined in the IRW conjoint standard. What the outcomes asked is under Design above.
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("drewniak_2022_ecls_start", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("drewniak_2022_ecls_start", source="conj")
@article{Drewniak_2021, title={Key Factors in Decision Making for ECLS: A Binational Factorial Survey}, volume={42}, ISSN={1552-681X}, url={http://dx.doi.org/10.1177/0272989X211040815}, DOI={10.1177/0272989x211040815}, number={3}, journal={Medical Decision Making}, publisher={SAGE Publications}, author={Drewniak, Daniel and Brandi, Giovanna and Buehler, Philipp Karl and Steiger, Peter and Hagenbuch, Niels and Stamm-Balderjahn, Sabine and Schenk, Liane and Rosca, Ana and Krones, Tanja}, year={2021}, month=Oct, pages={313–325} }
| IRW version | v584 |
|---|---|
| Redivis dataset | irw_conjoint v4.2 |
| Redivis dataset DOI | 10.57761/qkye-q530 |
| Manifest pin for this IRW version | v4.2 |
| Metadata source | irw_meta v44.0 |