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Relationship of Individual
Competency and Overall Global
Ratings in Practice Readiness OSCEs
Saad Chahine
Mount Saint Vincent University
saad.chahine@msvu.ca
Bruce Holmes
Division of Medical Education, Dalhousie University
bruce.holmes@dal.ca
Purpose of CAPP OSCE
• Clinical Assessment for Practice Program
• A program of the College of Physicians and
Surgeons of Nova Scotia (CPSNS)
1.To assess the clinical competence of IMG
candidates for readiness to practice.
2.To provide feedback on candidates'
performance for their continuing
professional development.
The CAPP Program
Part A: Initial assessment
• Assessment of competence via OSCE & therapeutics
exam (Practice Ready)
Part B: 1 year mentorship with a family physician
• Defined license for 1 year with performance assessment
Part C: Additional 3 years of defined license until
certified by The College of Family Physicians
(CCFP)
Big Overarching Research:
To understand rater cognition in the
assessment of candidates in the OSCE:
What goes on in the minds of examiners
when they assess candidates in the OSCE?
As part of this research agenda, this study answers the
question:
Which competencies are most predictive of determining
the satisfactory rating for the overall global rating score at
each station?
Assessed Competencies
• History Taking
• Physical Exam (In half of OSCE stations)
• Communication Skills
• Quality of Spoken English
• Counselling (In half of OSCE stations)
• Professional Behaviour
• Problem Definition & Diagnosis
• Investigation & Management
• Overall Global
Example: History Taking
Overall Global Rating
Data Set
2010
- 14 Station OSCE
- 31 Candidates
- 434 Observations (stations x candidates)
2011
- 12 Station OSCE
- 36 Candidates
- 432 Observations (stations x candidates)
2012
- 12 Station OSCE
- 36 Candidates
- 432 Observations (stations x candidates)
OSCE stations:
14 minutes spent at
each station
examiner questions
at 10 minutes
3 minutes between
candidates
Design
• Goal: What constitutes a pass/fail in an examiner’s
mind?
• Overall Global rating was recoded as pass fail
– Fail (0) = Inferior, Poor or Borderline
– Pass (1) = Satisfactory, Very Good or Excellent
• Competencies were rated on 1-6 scale
– 1 = Inferior
– 6 = Excellent
Descriptive Analysis
Year Number of
Observations
Overall Global
Pass
Overall Global
Fail
2010 434 (2 missing) 86 (20%) 346 (80%)
2011 432 (4 missing) 93 (22%) 335 (78%)
2012 432 (10 missing) 114 (26%) 308 (74%)
Year Number of
Observations
Investigation
Management
Pass
Investigation
Management Fail
2010 434 (3 missing) 317 (74%) 114 (26%)
2011 432 (0 missing) 272 (63%) 160 (37%)
2012 432 (1 missing) 271 (63%) 160 (37%)
*Note INVMAN was recoded 0/1
Multivariate Analysis
• Hierarchical Generalized Linear Model (HLGM - A
logistic regression that is nested)
• Nested structure to the data: Candidates are nested
within Year and Stations are nested within Candidates
• High consistency across examiners (previous study)
• The analysis was conducted in steps to find the best
model
• The goal is to determine what competencies are most
predictive of a pass/fail at OSCE stations
Model
Station Level
Prob (OverGlob=1|B)=P
log[P/(1-P)]= P0+P1*(Hist)+P2*(PHYS)+P3*(BEHAV)+P4*(QSE)+P5(COMM)+P6*(COUNS)+P7*(PDD)+P8*(INVMAN)
Candidate Level
P0=B00+ B01*(TRACK)+R0
P1=B10
P2=B20
P3=B30
P4=B40
P5=B50
P6=B60
P7=B70
P8=B80
Year Level
B00=G000+U00
B10=G100
B20=G200
B30=G300
B40=G400
B50=G500
B60=G600
B70=G700
B80=G800
Results
Variable Fixed
Effects
Estimate SE T-ratio Df P
G000 Overall -2.17 0.28 -7.78 2 0.00
G010 TRACK 0.02 0.33 0.07 101 0.94
G100 HIST 0.51 0.13 4.04 1272 0.00
G200 PHYS -0.02 0.07 -0.27 1272 0.77
G300 BEHAV 0.49 0.16 3.11 1272 0.00
G400 QSE 0.17 0.17 0.99 1272 0.32
G500 COMM 0.64 0.17 3.72 1272 0.00
G600 COUNS 0.06 0.06 0.95 1727 0.34
G700 PDD 0.64 0.11 5.84 1272 0.00
G800 INVMAN 1.36 0.14 9.83 1272 0.00
Results
Variable Fixed
Effects
Estimate SE T-ratio Df P
G000 Overall -2.17 0.28 -7.78 2 0.00
G010 TRACK 0.02 0.33 0.07 101 0.94
G100 HIST 0.51 0.13 4.04 1272 0.00
G200 PHYS -0.02 0.07 -0.27 1272 0.77
G300 BEHAV 0.49 0.16 3.11 1272 0.00
G400 QSE 0.17 0.17 0.99 1272 0.32
G500 COMM 0.64 0.17 3.72 1272 0.00
G600 COUNS 0.06 0.06 0.95 1727 0.34
G700 PDD 0.64 0.11 5.84 1272 0.00
G800 INVMAN 1.36 0.14 9.83 1272 0.00
Results: Best Model
Fixed
Effects
Estimate SE T-ratio Df P Odds
Ratio
Overall -2.16 0.18 -12.22 2 0.00 0.12
HIST 0.53 0.12 4.29 1272 0.00 1.71
BEHAV 0.52 0.15 3.43 1272 0.00 1.68
COMM 0.73 0.16 4.78 1272 0.00 2.07
PDD 0.63 0.11 6.02 1272 0.00 1.88
INVMAN 1.37 0.14 10.06 1272 0.00 3.93
*Note: Variation significant at Candidate level,
Variation NOT significant at Year level
Example of
Borderline/Satisfactory at the
Station
• If you borderline all competencies…
– 6% probability you receive an overall pass at the station
• If you satisfactory all competencies…
– 81% probability you pass receive an overall pass at the station
• If you satisfactory in all and borderline on Investigation
Management.
– 52% probability pass receive an overall pass at the station
• If you borderline in all and satisfactory on Investigation
Management…
– 21% probability pass receive an overall pass at the station
Rater Cognition
• Examiners do not weigh each competency equally…
Investigation and Management is a key component in
determining overall pass/fail on a station.
• Little variation in ratings for Quality of Spoken English…
all candidates do well on this competency…we keep it in
the exam as a check
• Physical Exam and Counseling are not significant
predictors. We suspect this is due to insufficient data (half
of the stations have these competencies)
• Track (1 vs 2) is not a predictor
• There is not a significant variation from year to year.
Take Home Message
• Examiners intuitively deem some competencies
as more important
– Therefore, should they be weighted?
• For practice ready OSCE…
– Consider more emphasis on complex competencies
in case development and blueprint
• Results support a qualitative study
– Follow up study to understand how examiners
conceptualise competencies through cognitive
interviews
Thank You!
www.capprogram.ca
Saad Chahine
saad.chahine@msvu.ca
Bruce Holmes
bruce.holmes@dal.ca

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Relationship of Competency and Global Ratings in OSCEs

  • 1. Relationship of Individual Competency and Overall Global Ratings in Practice Readiness OSCEs Saad Chahine Mount Saint Vincent University saad.chahine@msvu.ca Bruce Holmes Division of Medical Education, Dalhousie University bruce.holmes@dal.ca
  • 2. Purpose of CAPP OSCE • Clinical Assessment for Practice Program • A program of the College of Physicians and Surgeons of Nova Scotia (CPSNS) 1.To assess the clinical competence of IMG candidates for readiness to practice. 2.To provide feedback on candidates' performance for their continuing professional development.
  • 3. The CAPP Program Part A: Initial assessment • Assessment of competence via OSCE & therapeutics exam (Practice Ready) Part B: 1 year mentorship with a family physician • Defined license for 1 year with performance assessment Part C: Additional 3 years of defined license until certified by The College of Family Physicians (CCFP)
  • 4. Big Overarching Research: To understand rater cognition in the assessment of candidates in the OSCE: What goes on in the minds of examiners when they assess candidates in the OSCE? As part of this research agenda, this study answers the question: Which competencies are most predictive of determining the satisfactory rating for the overall global rating score at each station?
  • 5. Assessed Competencies • History Taking • Physical Exam (In half of OSCE stations) • Communication Skills • Quality of Spoken English • Counselling (In half of OSCE stations) • Professional Behaviour • Problem Definition & Diagnosis • Investigation & Management • Overall Global
  • 8. Data Set 2010 - 14 Station OSCE - 31 Candidates - 434 Observations (stations x candidates) 2011 - 12 Station OSCE - 36 Candidates - 432 Observations (stations x candidates) 2012 - 12 Station OSCE - 36 Candidates - 432 Observations (stations x candidates) OSCE stations: 14 minutes spent at each station examiner questions at 10 minutes 3 minutes between candidates
  • 9. Design • Goal: What constitutes a pass/fail in an examiner’s mind? • Overall Global rating was recoded as pass fail – Fail (0) = Inferior, Poor or Borderline – Pass (1) = Satisfactory, Very Good or Excellent • Competencies were rated on 1-6 scale – 1 = Inferior – 6 = Excellent
  • 10. Descriptive Analysis Year Number of Observations Overall Global Pass Overall Global Fail 2010 434 (2 missing) 86 (20%) 346 (80%) 2011 432 (4 missing) 93 (22%) 335 (78%) 2012 432 (10 missing) 114 (26%) 308 (74%) Year Number of Observations Investigation Management Pass Investigation Management Fail 2010 434 (3 missing) 317 (74%) 114 (26%) 2011 432 (0 missing) 272 (63%) 160 (37%) 2012 432 (1 missing) 271 (63%) 160 (37%) *Note INVMAN was recoded 0/1
  • 11. Multivariate Analysis • Hierarchical Generalized Linear Model (HLGM - A logistic regression that is nested) • Nested structure to the data: Candidates are nested within Year and Stations are nested within Candidates • High consistency across examiners (previous study) • The analysis was conducted in steps to find the best model • The goal is to determine what competencies are most predictive of a pass/fail at OSCE stations
  • 12. Model Station Level Prob (OverGlob=1|B)=P log[P/(1-P)]= P0+P1*(Hist)+P2*(PHYS)+P3*(BEHAV)+P4*(QSE)+P5(COMM)+P6*(COUNS)+P7*(PDD)+P8*(INVMAN) Candidate Level P0=B00+ B01*(TRACK)+R0 P1=B10 P2=B20 P3=B30 P4=B40 P5=B50 P6=B60 P7=B70 P8=B80 Year Level B00=G000+U00 B10=G100 B20=G200 B30=G300 B40=G400 B50=G500 B60=G600 B70=G700 B80=G800
  • 13. Results Variable Fixed Effects Estimate SE T-ratio Df P G000 Overall -2.17 0.28 -7.78 2 0.00 G010 TRACK 0.02 0.33 0.07 101 0.94 G100 HIST 0.51 0.13 4.04 1272 0.00 G200 PHYS -0.02 0.07 -0.27 1272 0.77 G300 BEHAV 0.49 0.16 3.11 1272 0.00 G400 QSE 0.17 0.17 0.99 1272 0.32 G500 COMM 0.64 0.17 3.72 1272 0.00 G600 COUNS 0.06 0.06 0.95 1727 0.34 G700 PDD 0.64 0.11 5.84 1272 0.00 G800 INVMAN 1.36 0.14 9.83 1272 0.00
  • 14. Results Variable Fixed Effects Estimate SE T-ratio Df P G000 Overall -2.17 0.28 -7.78 2 0.00 G010 TRACK 0.02 0.33 0.07 101 0.94 G100 HIST 0.51 0.13 4.04 1272 0.00 G200 PHYS -0.02 0.07 -0.27 1272 0.77 G300 BEHAV 0.49 0.16 3.11 1272 0.00 G400 QSE 0.17 0.17 0.99 1272 0.32 G500 COMM 0.64 0.17 3.72 1272 0.00 G600 COUNS 0.06 0.06 0.95 1727 0.34 G700 PDD 0.64 0.11 5.84 1272 0.00 G800 INVMAN 1.36 0.14 9.83 1272 0.00
  • 15. Results: Best Model Fixed Effects Estimate SE T-ratio Df P Odds Ratio Overall -2.16 0.18 -12.22 2 0.00 0.12 HIST 0.53 0.12 4.29 1272 0.00 1.71 BEHAV 0.52 0.15 3.43 1272 0.00 1.68 COMM 0.73 0.16 4.78 1272 0.00 2.07 PDD 0.63 0.11 6.02 1272 0.00 1.88 INVMAN 1.37 0.14 10.06 1272 0.00 3.93 *Note: Variation significant at Candidate level, Variation NOT significant at Year level
  • 16. Example of Borderline/Satisfactory at the Station • If you borderline all competencies… – 6% probability you receive an overall pass at the station • If you satisfactory all competencies… – 81% probability you pass receive an overall pass at the station • If you satisfactory in all and borderline on Investigation Management. – 52% probability pass receive an overall pass at the station • If you borderline in all and satisfactory on Investigation Management… – 21% probability pass receive an overall pass at the station
  • 17. Rater Cognition • Examiners do not weigh each competency equally… Investigation and Management is a key component in determining overall pass/fail on a station. • Little variation in ratings for Quality of Spoken English… all candidates do well on this competency…we keep it in the exam as a check • Physical Exam and Counseling are not significant predictors. We suspect this is due to insufficient data (half of the stations have these competencies) • Track (1 vs 2) is not a predictor • There is not a significant variation from year to year.
  • 18. Take Home Message • Examiners intuitively deem some competencies as more important – Therefore, should they be weighted? • For practice ready OSCE… – Consider more emphasis on complex competencies in case development and blueprint • Results support a qualitative study – Follow up study to understand how examiners conceptualise competencies through cognitive interviews

Editor's Notes

  1. At each station is important Not overall OSCE performance
  2. Note the last three are based on interview questions at the 10 minute mark, followed by 4 minutes to answer all questions(3-4) The scoring booklet is formatted so that the competency ratings are after the responses to the questions The answers are not data entered; rather they are for the PE to incorporate into his/her rating
  3. Note: the Elements were developed from themes based on “free text” narrative comments from physician examiners in previous CAPP OSCEs PEs are asked to consider the “pattern” of how they used the Elements to describe candidate performance In the CAPP OSCE all PEs are in community family practice from across the province; not full time academic family medicine In this example a PE would likely rate the competency as either Borderline or Satisfactory Poor or Very Good options would not be consistent with the Elements
  4. PEs are asked to make a Global Rating, taking into account all of the competencies They are also asked to consider “having this candidate do a locum in their practice
  5. Minimal missing data; about 97-98% completion
  6. Competency rating scale Inferior; poor; borderline; satisfactory; very good; excellent
  7. 10 missing is a lot I thought IM and Overall global were almost the same last year 2012. See report to Credentials Top half Number of overall global as either PASS or FAIL A single competence doesn't’ predict Overall Global Pass/Fail. it’s the combination of competencies
  8. Important slide to elaborate
  9. First and last bullets not what I expected. Does it mean IM is highly regarded by PEs for PRACTICE READY Does this mean overall global in the mind of the raters is more than sum of competencies? I expected IM to be
  10. For example, In CAPP we have IM in all stations