17,312 rated or chosen profiles from 1,085 respondents, in up to 36 tasks of 2 profiles varying on 5 attributes.
| Description | Adults with hypertension in urban Bengaluru and rural Kolar, Karnataka, India (household survey, 2021, n = 1,085) chose between two hypothetical public primary-care facilities varying staff courtesy, wait time, provider (doctor or nurse), carefulness of assessment and free-medication availability, in 8 choice sets (discrete choice experiment). |
|---|---|
| Reference | Leslie, H. H., Babu, G. R., Dolcy Saldanha, N., Turcotte-Tremblay, A.-M., Ravi, D., Shapeti, S. S., Kapoor, N., Prabhakaran, D., & Kruk, M. E. (2023). Population preferences for primary care models for hypertension in Karnataka, India. JAMA Network Open, 6(3), e232937. |
| DOI | 10.1001/jamanetworkopen.2023.2937 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/42TAA9 |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 1,085 |
|---|---|
| Rows (one per respondent, task and profile) | 17,312 |
| Tasks per respondent (most) | 36 |
| Profiles per task | 2 |
| Attributes | 5 |
| Tasks with no profile chosen | 0 |
| Topic | health covid |
|---|---|
| A profile represents | product service |
| Country | IN |
| Language shown | en, kn |
| Language of stored levels | en |
| Randomization restrictions | yes (stated by the source): Fixed blocked design: 35 D-efficient choice sets (Stata dcreate) in 5 versions of 7, plus one set added to every version (set 36: both facilities courteous; doctor vs nurse); only these level combinations occur. Level frequencies per version (eMethods Table 3): courtesy always 9 / not always 7 of 16 alternatives; each wait level 1-4 times; other attributes 8/8. |
| 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:
| choice | Please tell us which of the two facilities you would prefer to go to for your care. [choice, forced] |
|---|
attr_assessmentattr_courtesyattr_medicationattr_providerattr_waitchoicecov_agecov_care_sourcecov_castecov_districtcov_educationcov_ever_treatedcov_gendercov_hypertension_diagnosedcov_occupationcov_public_primary_careidprofiletasktrial_version
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("leslie_2023_hypertension_care", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("leslie_2023_hypertension_care", source="conj")
@article{Leslie_2023, title={Population Preferences for Primary Care Models for Hypertension in Karnataka, India}, volume={6}, ISSN={2574-3805}, url={http://dx.doi.org/10.1001/jamanetworkopen.2023.2937}, DOI={10.1001/jamanetworkopen.2023.2937}, number={3}, journal={JAMA Network Open}, publisher={American Medical Association (AMA)}, author={Leslie, Hannah H. and Babu, Giridhara R. and Dolcy Saldanha, Nolita and Turcotte-Tremblay, Anne-Marie and Ravi, Deepa and Kapoor, Neena R. and Shapeti, Suresh S. and Prabhakaran, Dorairaj and Kruk, Margaret E.}, year={2023}, month=Mar, pages={e232937} }
| 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 |