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Research study · 2023

A determination of patient preferences for China online outpatient follow-up clinics by using discrete choice experiment: an exploratory study

Explore the published experiment and its available replication evidence.

Nan Chen · Chen2025b

Read the paper ↗

01 / Human finding

What the study found

A reviewed summary is not available in this registry. Consult the published paper for the original finding.

Answer-key review: Not reviewed

02 / Experiment design

Who chose, and what varied

Country
China
Human respondents
Not recorded
Attributes
6
Task
discrete choice

03 / Synthetic replication

Registry replication results

Current replication

Spearman rank correlation

Not measured

No current measurement is available in this registry.

Paper-era reference

2023 CLM mean Spearman ρ

Not measured

Historical results use their original estimator and reference. They are not a matched comparison with the current run.

Detailed replication evidence · 2026-11-02

Right direction on all 8 significant effects, close ranking (ρ = 0.86); sizes not comparable (the paper reports logit coefficients).

Use it to screen and rank which attributes move choice; sizes need the paper's respondent data.

Inspect the measured run ↗

direction
holds
rank
holds
size
not comparable

Supported uses

  • Screening which attributes move choice, and in which direction.
  • Ranking attributes and levels by how strongly they move choice.

Limits to keep in view

  • Effect sizes in the paper's units; only direction, rank and shape are compared.

Effects on a common scale

Human effects: logit coefficient. Synthetic effects are multiplied by the record’s calibration factor, k = 6.1405. Calibration aligns magnitude; it does not establish agreement in unadjusted effect sizes.

● Human   ◆ Calibrated synthetic · Lines show human 95% intervals where available.
-1.9701.97Type of internet hospital: Secondary Internet hospitalType of internet hospital: Secondary Intern…Type of internet hospital: Primary (Community) Internet hospitalType of internet hospital: Primary (Communi…Type of online doctor: Non-first diagnosing doctor at the patient’s first diagnosing hospitalType of online doctor: Non-first diagnosing…Type of online doctor: Non-first diagnosing doctor at the patient’s non-first diagnosing hospitalType of online doctor: Non-first diagnosing…Waiting time for an appointment: 3 daysWaiting time for an appointment: 3 daysWaiting time for an appointment: A weekWaiting time for an appointment: A weekCommunication mode: Voice (telephone) consultationCommunication mode: Voice (telephone) consu…Communication mode: Image-text consultationCommunication mode: Image-text consultationOnline payment method: Payment without medical insuranceOnline payment method: Payment without medi…
Human and calibrated synthetic effects
Attribute / levelHumanHuman 95% half-widthCalibrated synthetic
Type of internet hospital: Tertiary Internet hospital [Reference] (reference)0.000Not measured0.000
Type of internet hospital: Secondary Internet hospital-0.237Not measured-0.773
Type of internet hospital: Primary (Community) Internet hospital-0.466Not measured-0.736
Type of online doctor: First diagnosing doctor [Reference] (reference)0.000Not measured0.000
Type of online doctor: Non-first diagnosing doctor at the patient’s first diagnosing hospital-0.481Not measured-0.042
Type of online doctor: Non-first diagnosing doctor at the patient’s non-first diagnosing hospital-0.845Not measured-0.405
Waiting time for an appointment: Today [Reference] (reference)0.000Not measured0.000
Waiting time for an appointment: 3 days-1.033Not measured-0.623
Waiting time for an appointment: A week-1.790Not measured-1.433
Communication mode: Video consultation [Reference] (reference)0.000Not measured0.000
Communication mode: Voice (telephone) consultation-0.047Not measured-0.378
Communication mode: Image-text consultation-0.260Not measured-0.516
Online payment method: Payment by medical insurance [Reference] (reference)0.000Not measured0.000
Online payment method: Payment without medical insurance-1.342Not measured-1.595

Subgroups · screen, not a result

Split by gender: 1 of 1 significant differences keep their direction in the simulation (21% to 100%)

screen, not a result. Each row is the female group’s effect minus the male group’s, human in logit, simulated on the simulation’s own scale, so compare direction, not size. A Jev fast-small screen makes no comparison claim.

Sign agreement
1/1, 100%
95% interval
21% to 100%
Shuffle null
55%, p 0.19
Shape ρ
–
Scale ratio
–
Respondents per group
GroupSimulated nPeople nρ vs paper
female96not given–
male79not given–
Group differences: female minus male
Attribute / levelPeople Δ (95%)SignificantSimulated Δ (own scale)Direction
Waiting time for an appointment: 3 days+0.31 no intervalyes+0.03 ±0.09same direction
Type of online doctor: Non-first diagnosing doctor at the patient’s non-first diagnosing hospital-0.23 no intervalno-0.05 ±0.10not compared

Interval: Wilson 95% on the significant differences. Shuffle null: groups reassigned at random among the simulated respondents. Scored from screen run ca6d5a1a-b87a-402a-9442-91219ed9d015, W&B score ↗.

04 / Evidence and limitations

Follow the evidence

Missing results mean unmeasured, not zero agreement.

  • missing parent paper url
  • missing canonical pdf
  • missing historic score
  • missing resolved wandb run
Measurement provenance

Registry revision: 648f40378e9c. Estimator: ols.