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Don't Throw Your Heart Away: Medical Student Study 2

Don't Throw Your Heart Away: Medical Student Study 2

Status
Completed
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT04176796
Enrollment
105
Registered
2019-11-25
Start date
2019-11-27
Completion date
2020-03-31
Last updated
2026-04-23

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Cardiac Transplant Disorder

Keywords

Heart Transplant, Transplant Survival, Applied Ethics, Medical Students, Human Behavior, Decision Psychology

Brief summary

Publicly available outcome assessments for transplant programs do not make salient that some programs tend to reject many of the hearts they are offered, whereas other programs accept a broader range of donor offers. The investigators use empirical studies to test whether transplant center performance data (i.e. transplant and waitlist outcome statistics) that reflect center donor acceptance rates influence laypersons to evaluate centers with high organ decline rates less favorably than centers with low organ decline rates. 125 medical student participants will be recruited from University of Pittsburgh Medical School and randomized to one of two different information presentation conditions. Participants will be given an introduction to the donor organ match process, then asked to view the table of transplant outcomes corresponding to the condition they were randomized to. Each participant is asked to choose the hospital that they would consider to be "higher performing" between two hospitals: one hospital with a non-selective, "accepting" strategy (takes all donor heart offers), and one hospital with a more selective, "cherrypicking" strategy (tends to reject donor offers that are less than "excellent" quality).

Detailed description

Publicly available outcome assessments for transplant programs do not make salient that some programs tend to reject many of the hearts they are offered, whereas other programs accept a broader range of donor offers. The investigators use empirical studies to test whether transplant center performance data (i.e. transplant and waitlist outcome statistics) that reflect center donor acceptance rates influence laypersons to evaluate centers with high organ decline rates less favorably than centers with low organ decline rates. 125 medical student participants will be recruited from University of Pittsburgh Medical School and randomized to one of two different information presentation conditions: Condition 1 ("baseline" condition): view only combined transplant survival (e.g. transplant survival rate not stratified by number and quality of donor hearts accepted at each center) Condition 2: view only stratified transplant survival (e.g. transplant survival rate stratified into patients who received excellent donor organs and patients who received less than optimal donor organs) Participants will be given an introduction to the donor organ match process, then asked to view the table of transplant outcomes corresponding to the condition they were randomized to.Each participant is asked to choose the hospital that they would consider to be "higher performing" between two hospitals: one hospital with a non-selective, "accepting" strategy (takes all donor heart offers), and one hospital with a more selective, "cherrypicking" strategy (tends to reject donor offers that are less than "excellent" quality). In order to identify the decision process that underlies this choice pattern, the investigators will examine a putative mediator. Specifically, participants will be asked to rate the extent to which they considered patients' chances of getting an excellent heart, avoiding a less-than-optimal heart, and getting any type of heart when making their choice between the two hospitals.

Interventions

The transplant survival rate in the table of outcome statistics is stratified into two groups: (i) patients who received excellent donor organs and (ii) patients who received less than optimal donor organs. Stratified transplant survival is computed from survival rates of transplant patients who received each quality category of organ. excellent transplant survival = \[number of patients surviving after transplant with excellent organ\]/\[number of patients for whom excellent organ was accepted for transplant\] marginal transplant survival = \[number of patients surviving after transplant with marginal organ\]/\[number of patients for whom marginal organ was accepted for transplant\]

Sponsors

Carnegie Mellon University
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
HEALTH_SERVICES_RESEARCH
Masking
SINGLE (Subject)

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

Participants will be asked to participate if they confirm the following inclusion criteria in the consent form. 1. 18 years of age or older 2. must read and understand the information in the consent form 3. must want to participate in the research and continue with the survey 4. must live in United States 5. 2nd, 3rd, or 4th year medical student at University of Pittsburgh School of Medicine

Exclusion criteria

1\. participants who do not meet primary criterion of being a 2nd, 3rd, or 4th year medical student at University of Pittsburgh School of Medicine \-

Design outcomes

Primary

MeasureTime frameDescription
Hospital Choice1 dayThe outcome variable will be a measure of binary choice between two hospitals: one with a selective donor-heart acceptance strategy and one with a non-selective donor heart acceptance strategy. Participants will respond to the question "Which Hospital is a better choice for patients? Please click on one of the two tables below to indicate which hospital is the better choice." Participants will choose been two outcome tables featuring the selective and non-selective hospital (counterbalanced, such that each of the two choices is equally likely to be presented at top of the choice scenario in each condition). The number of participants that choose each hospital will be the measured outcome variable used in analyses.

Secondary

MeasureTime frameDescription
Mediator of Hospital Choice1 dayParticipants answered the question "There are many reasons why one transplant hospital might outperform another. Which reasons were most important in your decision? Please move the slider to indicate how much you considered each of the reasons below (0=reason was not important, 100=reason was extremely important). Patients were more likely to receive any type of donor heart at the hospital I picked." The reported data are the mean responses on this 0-100 scale.

Countries

United States

Contacts

PRINCIPAL_INVESTIGATORAlison E Butler, BS

Carnegie Mellon University

Participant flow

Recruitment details

Recruited via email through medical school listserv.

Pre-assignment details

Included if the participant identified as current medical student and was over 18.

Participants by arm

ArmCount
Condition 1: Combined Only
Participants randomized to baseline (control) arm Condition 1 will view only combined transplant survival outcome information (e.g. transplant survival rate not stratified by number and quality of donor hearts accepted at each center) when making a choice between the two hospitals.
56
Condition 3: Stratified Only
Participants randomized to Condition 3 will view only stratified transplant survival outcome information when making a choice between the two hospitals. Stratified Transplant Survival: The transplant survival rate in the table of outcome statistics is stratified into two groups: (i) patients who received excellent donor organs and (ii) patients who received less than optimal donor organs. Stratified transplant survival is computed from survival rates of transplant patients who received each quality category of organ. excellent transplant survival = \[number of patients surviving after transplant with excellent organ\]/\[number of patients for whom excellent organ was accepted for transplant\] marginal transplant survival = \[number of patients surviving after transplant with marginal organ\]/\[number of patients for whom marginal organ was accepted for transplant\]
49
Total105

Baseline characteristics

CharacteristicCondition 1: Combined OnlyCondition 3: Stratified OnlyTotal
Age, Categorical
<=18 years
0 Participants0 Participants0 Participants
Age, Categorical
>=65 years
0 Participants0 Participants0 Participants
Age, Categorical
Between 18 and 65 years
56 Participants49 Participants105 Participants
Race (NIH/OMB)
American Indian or Alaska Native
0 Participants0 Participants0 Participants
Race (NIH/OMB)
Asian
14 Participants8 Participants22 Participants
Race (NIH/OMB)
Black or African American
2 Participants3 Participants5 Participants
Race (NIH/OMB)
More than one race
5 Participants2 Participants7 Participants
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
0 Participants0 Participants0 Participants
Race (NIH/OMB)
Unknown or Not Reported
2 Participants0 Participants2 Participants
Race (NIH/OMB)
White
33 Participants36 Participants69 Participants
Region of Enrollment
United States
56 participants49 participants105 participants
Sex/Gender, Customized
Female
37 Participants30 Participants67 Participants
Sex/Gender, Customized
Male
19 Participants17 Participants36 Participants
Sex/Gender, Customized
Transgender
0 Participants1 Participants1 Participants
Sex/Gender, Customized
Unknown
0 Participants1 Participants1 Participants

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
deaths
Total, all-cause mortality
0 / 560 / 49
other
Total, other adverse events
0 / 560 / 49
serious
Total, serious adverse events
0 / 560 / 49

Outcome results

Primary

Hospital Choice

The outcome variable will be a measure of binary choice between two hospitals: one with a selective donor-heart acceptance strategy and one with a non-selective donor heart acceptance strategy. Participants will respond to the question Which Hospital is a better choice for patients? Please click on one of the two tables below to indicate which hospital is the better choice. Participants will choose been two outcome tables featuring the selective and non-selective hospital (counterbalanced, such that each of the two choices is equally likely to be presented at top of the choice scenario in each condition). The number of participants that choose each hospital will be the measured outcome variable used in analyses.

Time frame: 1 day

ArmMeasureCategoryValue (COUNT_OF_PARTICIPANTS)
Condition 1: Combined OnlyHospital ChoiceNumber choosing non-selective center33 Participants
Condition 1: Combined OnlyHospital ChoiceNumber choosing selective center23 Participants
Condition 3: Stratified OnlyHospital ChoiceNumber choosing non-selective center47 Participants
Condition 3: Stratified OnlyHospital ChoiceNumber choosing selective center2 Participants

Source: ClinicalTrials.gov · Data processed: Apr 24, 2026