5,670 rated or chosen profiles from 315 respondents, in up to 10 tasks of 2 profiles varying on 4 attributes.

About this table

Description	315 family physicians and physician assistants in Vietnam each answered 9 choice cards between two hypothetical jobs varying in income change, promotion timing, urban/rural location and chance of opening a private clinic; a forced A/B preference and a real-world choice among A, B and their current job.
Reference	Pham, C. A. T., Le, N. Q. T., & Kim, D. (2026). What drives family physicians to rural practice? A discrete choice experiment in Vietnam. Health Policy OPEN, 11, 100175.
DOI	10.1016/j.hpopen.2026.100175
Licence	CC BY 4.0
Source data	https://doi.org/10.5281/zenodo.22070298

Notes

Conjoint table (irw_conjoint). choice: 'Between jobs A and B, which job do you prefer?' forced A/B; choice_final: 'Which job would you choose in practice?' A, B or current job (opt-out: 588 of 2,835 tasks chose the current job, both profiles 0). Fixed blocked design of 20 cards in 2 blocks; the repeated reliability card was removed by the depositors, so 9 tasks per respondent with original positions kept; attribute text from the bilingual cards (English line); 315 respondents as in the README.

These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.

Size and shape

Respondents	315
Rows (one per respondent, task and profile)	5,670
Tasks per respondent (most)	10
Profiles per task	2
Attributes	4
Tasks with no profile chosen	0

Design

Topic	labour hiring, health covid
A profile represents	product service
Country	VN
Language shown	vi, en
Language of stored levels	en
Randomization restrictions	yes (stated by the source): fixed blocked design: only the 20 published cards (03.Choice design.csv, 2 blocks of 10) occur, so most level combinations never appear; levels within a card are fixed pairs
Task order	recorded in the deposit
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	Between jobs A and B, which job do you prefer? [choice, forced]
choice_final	Which job would you choose in practice? [choice, opt-out allowed]

Columns

attr_incomeattr_locationattr_private_clinicattr_promotionchoicechoice_finalcov_age_over_50cov_current_job_levelcov_current_urbancov_gendercov_marriedcov_rural_borncov_rural_internshipcov_university_doctoridprofiletasktrial_blocktrial_card

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.

Get the data

Download CSVno account needed Browse on Redivisexplore and query Croissant metadataHugging Face, Kaggle, OpenML

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("pham_2026_rural_jobs", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("pham_2026_rural_jobs", source="conj")

How to cite

@article{Pham_2026, title={What drives family physicians to rural practice? A discrete choice experiment in Vietnam}, volume={11}, ISSN={2590-2296}, url={http://dx.doi.org/10.1016/j.hpopen.2026.100175}, DOI={10.1016/j.hpopen.2026.100175}, journal={Health Policy OPEN}, publisher={Elsevier BV}, author={Pham, Cam Anh Thi and Le, Nguyen Quynh Trang and Kim, Dohyeong}, year={2026}, month=Nov, pages={100175} }

Version and provenance

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