David G. Metro
University of Pittsburgh
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Featured researches published by David G. Metro.
Anesthesia & Analgesia | 2005
David G. Metro; Joseph F. Talarico; Rita M. Patel; Amy L. Wetmore
Many authors have attempted to determine predictors for success within a residency program. There is very little agreement about what is useful. We hypothesized that our residency selection process is effective in determining which resident applicants would be most likely to excel in our program. To test this hypothesis, we reviewed the scores that applicants received after their interview day to determine if there was a correlation with any measures used to evaluate residents once they entered residency training. Our results determined that the score given to an applicant fails to correlate with any of the areas that are evaluated throughout their residency. The only statistically significant correlation was between the scores assigned by the selection committee to applicants and the applicant scores on their first year in training examination. We concluded that our residency selection process score does not accurately predict which applicants will excel in our program.
Journal of Clinical Anesthesia | 2013
Joseph F. Talarico; Albert J. Varon; Shawn Banks; Jeffrey S. Berger; Evan G. Pivalizza; Glorimar Medina-Rivera; Jyotsna Rimal; Melissa Davidson; Feng Dai; Li Qin; Ryan D. Ball; Cheryl Loudd; Catherine Schoenberg; Amy L. Wetmore; David G. Metro
STUDY OBJECTIVE To test the hypothesis that emotional intelligence, as measured by a BarOn Emotional Quotient Inventory (EQ-i), the 125-item version personal inventory (EQ-i:125), correlates with resident performance. DESIGN Survey (personal inventory) instrument. SETTING Five U.S. academic anesthesiology residency programs. PARTICIPANTS Postgraduate year (PGY) 2, 3, and 4 residents enrolled in university-based anesthesiology residency programs. MEASUREMENTS Residents confidentially completed the BarOn EQ-i:125 personal inventory. The deidentified resident evaluations were sent to the principal investigator of a separate data collection study for data analysis. Data collected from the inventory were correlated with daily evaluations of the residents by residency program faculty. Results of the individual BarOn EQ-i:125 and daily faculty evaluations of the residents were compiled and analyzed. MAIN RESULTS Univariate correlation analysis and multivariate canonical analysis showed that some aspects of the BarOn EQ-i:125 were significantly correlated with, and likely to be predictors of, resident performance. CONCLUSIONS Emotional intelligence, as measured by the BarOn EQ-i personal inventory, has considerable promise as an independent indicator of performance as an anesthesiology resident.
Anesthesia & Analgesia | 2013
Nicholas J. Schott; Trent D. Emerick; David G. Metro; Tetsuro Sakai
BACKGROUND: Scholarly activity is an important aspect of the academic training of future anesthesiologists. However, residents’ scholarly activity may reduce training caseloads and increase departmental costs. METHODS: We conducted this study within a large academic anesthesiology residency program with data from the 4 graduating classes of 2009 through 2012. Scholarly activity included peer-reviewed manuscripts, case reports, poster presentations at conferences, book chapters, or any other publications. It was not distinguished whether a resident was the principal investigator or a coinvestigator on a project. The following data were collected on each resident: months spent on a resident research rotation, number of scholarly projects completed, number of research conferences attended, and Accreditation Council for Graduate Medical Education case entries. Comparison was made between residents electing a resident research rotation with those who did not for (1) scholarly projects, (2) research conference attendance, and (3) Accreditation Council for Graduate Medical Education case numbers. Cost to the department for extra clinical coverage during residents’ time spent on research activities was calculated using an estimated average cost of
Clinical Transplantation | 2012
Shushma Aggarwal; Brian C. Bane; Charles D. Boucek; Raymond M. Planinsic; John Lutz; David G. Metro
675 ±
Anesthesiology | 2014
Tetsuro Sakai; Trent D. Emerick; David G. Metro; Rita M. Patel; Sandra C. Hirsch; Daniel G. Winger; Yan Xu
176 (mean ± SD) per day with local certified registered nurse anesthetist pay scales. RESULTS: Sixty-eight residents were included in the analyses. Twenty-four residents (35.3%) completed resident research rotations with an average duration of 3.7 months. Residents who elected resident research rotations completed more scholarly projects (5 projects [4–6]: median [25%–75% interquartile range] vs 2 [0–3]; P < 0.0001), attended more research conferences (2 conferences [2–4] vs 1 [0–2]; P < 0.0001), but experienced fewer cases (980 cases [886–1333] vs 1182 [930–1420]; P ⩽ 0.002) compared with those who did not elect resident research rotations. The estimated average cost to the department per resident who elected a resident research rotation was
Journal of Clinical Anesthesia | 2016
Faith J. Ross; David G. Metro; Shawn T. Beaman; James G. Cain; Monique M. Dowdy; Abraham Apfel; Jong-Hyeon Jeong; James W. Ibinson
13,500 ±
Journal of Clinical Anesthesia | 2009
Marisa H. Ferrera; Shawn T. Beaman; David G. Metro; Linda J. Handley; James E. Walker
9724 per month. The average resident time length away from duty for conference attendance was 3.2 ± 0.2 days, with an average cost to the department of
Academic Medicine | 2017
Gregory M. Bump; Nordisha Coots; Cindy A. Liberi; Tamra E. Minnier; Paul E. Phrampus; Gabriella Gosman; David G. Metro; Julie B. Mccausland; Andrew Buchert
2160 ±
Journal of Clinical Anesthesia | 2013
Rita M. Patel; David G. Metro; Tetsuro Sakai
565. The average annual departmental expense for resident conference travel was an additional
Archive | 2010
Shawn T. Beaman; Patrick J. Forte; David G. Metro
1424 ±