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Measuring Quality of Medical Student Performance at Contextualizing Care

Measuring Quality of Medical Student Performance at Contextualizing Care

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT01088438
Enrollment
189
Registered
2010-03-17
Start date
2008-07-31
Completion date
2010-06-30
Last updated
2011-05-06

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

Conditions

Diagnosis, Education, Medical, Undergraduate, Medical History Taking

Keywords

medical education, decision making, diagnostic error, contextualization

Brief summary

During the project, fourth-year medical students participating in a Medicine sub-internship will be randomized to an intervention group or a control group; the intervention group will receive additional training in the application of qualitative methodology to elicit and incorporate contextual factors in the clinical encounter. All students will participate in an SP assessment consisting of four standardized patients (SPs), blinded to trial arm, presenting cases with and without important biomedical and contextual factors in a counterbalanced factorial design. Performance will be compared between trial arms; the investigators hypothesize better performance in the intervention arm. In addition, performance will be compared with United States Medical Licensing Exam (USMLE) Step 2 clinical knowledge scores to determine whether contextualizing ability is independent of clinical knowledge, and consistency of performance across individual SP cases will be studied to determine the number of cases necessary to achieve sufficient reliability for the assessment to be used.

Detailed description

Clinical decision making requires two distinct skills: the ability to classify patients' conditions into diagnostic and management categories that permit the application of best evidence guidelines, and the ability to individualize or - more precisely - to contextualize care for patients whose circumstances and needs require variation from the standard approach to care. Most assessment in medical education places heavy emphasis on biomedical decision-making with little emphasis on how to incorporate contextual factors that may be essential to planning patients' care. The goal of this project is to demonstrate and provide validity evidence for an innovative standardized patient (SP) method of assessing medical students in the clinical years on their ability to detect and respond to individual contextual factors in a patient encounter that overcomes the aforementioned challenges. During the project, fourth-year medical students participating in a Medicine sub-internship will be randomized to an intervention group or a control group; the intervention group will receive additional training in the application of qualitative methodology to elicit and incorporate contextual factors in the clinical encounter. All students will participate in an SP assessment consisting of four SPs, blinded to trial arm, presenting cases with and without important biomedical and contextual factors in a counterbalanced factorial design. Performance will be compared between trial arms. In addition, performance will be compared with United States Medical Licensing Exam (USMLE) Step 2 clinical knowledge scores to determine whether contextualizing ability is independent of clinical knowledge, and consistency of performance across individual SP cases will be studied to determine the number of cases necessary to achieve sufficient reliability for the assessment to be used.

Interventions

BEHAVIORALContextualization workshop

A four-hour course on contextualization.

Sponsors

The National Board of Medical Examiners
CollaboratorOTHER
University of Illinois at Chicago
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Masking
SINGLE (Outcomes Assessor)

Eligibility

Sex/Gender
ALL
Age
21 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Fourth-year medical students at University of Illinois at Chicago

Design outcomes

Primary

MeasureTime frameDescription
Developing an Appropriate Treatment Plan (for Contextual Variant of Encounters)1 monthProbability that the learner writes a correct treatment plan for the standardized patient encounters undertaken at assessment at end of subinternship that include contextual red flags. All learners are scheduled to see 4 encounters, based on combinations of four cases and four potential variants (baseline, biomedical, contextual, biocontextual) with counterbalancing by study month; each has a single contextual variant encounter. Treatment plans are assessed by an investigator blinded to the learner's assignment to intervention or control group.
Probing for Contextual Issues1 monthProbability that the learner probes contextual red flags raised in standardized patient encounters undertaken at assessment at end of subinternship. Each learner undertakes four encounters, each of which presents a contextual red flag that may or may not be probed; in a small number of cases, the standardized patient was ill and the learner undertook fewer than four encounters as a result. Assessment of probing is made by an investigator blinded to learner's assignment to group.
Probing for Biomedical Issues1 monthProbability that the learner probes biomedical red flags raised in standardized patient encounters undertaken at assessment at end of subinternship. Each learner undertakes four encounters, each of which presents a biomedical red flag that may or may not be probed; in a small number of cases, the standardized patient was ill and the learner undertook fewer than four encounters as a result. Assessment of probing is made by an investigator blinded to learner's assignment to group.

Countries

United States

Participant flow

Recruitment details

All fourth-year medical students at the University of Illinois at Chicago (UIC) College of Medicine who were enrolled in internal medicine subinternships at one of 2 sites (UIC or Jesse Brown Veterans Administration Medical Center) July 2008 - April 2009 or August 2009 - April 2010 were eligible.

Participants by arm

ArmCount
Contextualization Workshop
A four-hour course on contextualization.
94
Control
No intervention
95
Total189

Withdrawals & dropouts

PeriodReasonFG000FG001
Overall StudyLost to Follow-up1830
Overall StudyWithdrawal by Subject116

Baseline characteristics

CharacteristicContextualization WorkshopControlTotal
Age Continuous28.8 years
STANDARD_DEVIATION 3.6
28.8 years
STANDARD_DEVIATION 3.6
28.8 years
STANDARD_DEVIATION 3.6
Race/Ethnicity, Customized
Non-White
64 participants61 participants125 participants
Race/Ethnicity, Customized
White
30 participants34 participants64 participants
Sex: Female, Male
Female
49 Participants41 Participants90 Participants
Sex: Female, Male
Male
45 Participants54 Participants99 Participants

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
deaths
Total, all-cause mortality
— / —— / —
other
Total, other adverse events
0 / 940 / 95
serious
Total, serious adverse events
0 / 940 / 95

Outcome results

Primary

Developing an Appropriate Treatment Plan (for Contextual Variant of Encounters)

Probability that the learner writes a correct treatment plan for the standardized patient encounters undertaken at assessment at end of subinternship that include contextual red flags. All learners are scheduled to see 4 encounters, based on combinations of four cases and four potential variants (baseline, biomedical, contextual, biocontextual) with counterbalancing by study month; each has a single contextual variant encounter. Treatment plans are assessed by an investigator blinded to the learner's assignment to intervention or control group.

Time frame: 1 month

Population: ITT. In one case, a participant did not receive a contextual variant encounter because the standardized patient was ill, and this encounter is excluded.

ArmMeasureValue (NUMBER)
Contextualization WorkshopDeveloping an Appropriate Treatment Plan (for Contextual Variant of Encounters)0.67 proportion of contextual encounters
ControlDeveloping an Appropriate Treatment Plan (for Contextual Variant of Encounters)0.24 proportion of contextual encounters
Comparison: Null hypothesis: proportion of encounters with contextual red flag in which appropriate treatment is planned is the same in the two groups.p-value: <0.001Chi-squared
Primary

Probing for Biomedical Issues

Probability that the learner probes biomedical red flags raised in standardized patient encounters undertaken at assessment at end of subinternship. Each learner undertakes four encounters, each of which presents a biomedical red flag that may or may not be probed; in a small number of cases, the standardized patient was ill and the learner undertook fewer than four encounters as a result. Assessment of probing is made by an investigator blinded to learner's assignment to group.

Time frame: 1 month

Population: ITT

ArmMeasureValue (NUMBER)
Contextualization WorkshopProbing for Biomedical Issues0.77 proportion of encounters
ControlProbing for Biomedical Issues0.77 proportion of encounters
Comparison: Null hypothesis is equal proportion of encounters probed in control and intervention groups.p-value: 0.85Chi-squared
Primary

Probing for Contextual Issues

Probability that the learner probes contextual red flags raised in standardized patient encounters undertaken at assessment at end of subinternship. Each learner undertakes four encounters, each of which presents a contextual red flag that may or may not be probed; in a small number of cases, the standardized patient was ill and the learner undertook fewer than four encounters as a result. Assessment of probing is made by an investigator blinded to learner's assignment to group.

Time frame: 1 month

Population: ITT

ArmMeasureValue (NUMBER)
Contextualization WorkshopProbing for Contextual Issues0.86 proportion of encounters
ControlProbing for Contextual Issues0.61 proportion of encounters
Comparison: Null hypothesis is equal proportion of contextual red flags probed in control and intervention groups.p-value: <0.001Chi-squared

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026