Evaluation of an Occupational Health and Safety Management System Performance Measurement Tool-III: Measurement of Initiation Elements

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/91920/1/Redinger4.pd

Modeling Potential Carbon Monoxide Exposure Due to Operation of a Major Rocket Engine Altitude Test Facility Using Computational Fluid Dynamics

This viewgraph presentation reviews computational fluid dynamics as a tool for modelling the dispersion of carbon monoxide at the Stennis Space Center's A3 Test Stand. The contents include: 1) Constellation Program; 2) Constellation Launch Vehicles; 3) J2X Engine; 4) A-3 Test Stand; 5) Chemical Steam Generators; 6) Emission Estimates; 7) Located in Existing Test Complex; 8) Computational Fluid Dynamics; 9) Computational Tools; 10) CO Modeling; 11) CO Model results; and 12) Next steps

Behavioral coding for evaluation of medical student communication: clarification or obfuscation?

To understand which specific student behaviors predict performance ratings from standardized patients and behavioral scientist preceptors. In 1996-98, objective, real-time ratings of student verbal and nonverbal behaviors were conducted on 75 videotaped interviews between second-year medical students and standardized patients at University of North Carolina at Chapel Hill School of Medicine. The coding system used in these analyses was developed based on evidence-based literature reviews and used software that provides for real-time recording; 30 nonverbal and 33 behaviors were coded. The coded behaviors were then compared with four ratings: a global rating of the encounter by the standardized patient, a summary score derived from a checklist completed by the standardized patient, a global rating of the encounter by a behavioral science preceptor who observed the encounter, and a summary score derived from a checklist completed by the preceptor. Analyses identified strong correlations between all four of the preceptor and patient ratings, a strong independent effect of case scenario, and significant between-rater variation. When multivariable analysis was used to predict these global ratings based on coding of specific behaviors, a relatively high proportion of observer variation was explained by a small group of coded behaviors. This study suggests that the coding of specific behaviors may hold promise as a student evaluation technique thereby improving medical training techniques and ultimately enhancing the communication skills in physician-patient encounters. It also illustrates the need to better clarify which specific behaviors are most critical in influencing patient satisfaction