| Literature DB >> 24844725 |
Renée A Scheepers1, Kiki M J M H Lombarts1, Marcel A G van Aken2, Maas Jan Heineman3, Onyebuchi A Arah4.
Abstract
BACKGROUND: Worldwide, attending physicians train residents to become competent providers of patient care. To assess adequate training, attending physicians are increasingly evaluated on their teaching performance. Research suggests that personality traits affect teaching performance, consistent with studied effects of personality traits on job performance and academic performance in medicine. However, up till date, research in clinical teaching practice did not use quantitative methods and did not account for specialty differences. We empirically studied the relationship of attending physicians' personality traits with their teaching performance across surgical and non-surgical specialties.Entities:
Mesh:
Year: 2014 PMID: 24844725 PMCID: PMC4028262 DOI: 10.1371/journal.pone.0098107
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Descriptive statistics of the study sample.
| N | ||
|
| Medical centres (academic/non-academic) | 18 (2/16) |
| Residency programs | 61 | |
| Surgical/non-surgical specialties | 7/18 | |
|
| Residents participated (% of total invited) | 560 (68%) |
| Resident evaluations | 4368 | |
| Clinical faculty members participated (% of total invited) | 636 (78%) | |
| Clinical faculty members evaluated by residents | 805 | |
| Mean resident evaluations per clinical faculty member | 5.43 | |
| Surgical/non-surgical clinical faculty members | 281/385 | |
| Female/male clinical faculty members (% females) | 252/366 (41%) | |
| Mean clinical faculty members' age | 48 |
Means, standard deviation (SD), item factor loadings and inter-scale correlations of the SETQ and BFI (sub) scales.
| Mean | SD | Factor loadings | Inter-scale correlations | |||||||
| EX | EM | CO | AG | OP | ||||||
|
| ||||||||||
|
| 3.48 | 0.88 | 1 | |||||||
| is reserved | 0.89 | |||||||||
| is outgoing, sociable | 0.75 | |||||||||
|
| 3.87 | 0.74 | 0.22 | 1 | ||||||
| is relaxed, handles stress well | 0.81 | |||||||||
| gets nervous easily | 0.82 | |||||||||
|
| 4.26 | 0.62 | 0.06 | 0.09 | 1 | |||||
| tends to be lazy | 0.80 | |||||||||
| does a thorough job | 0.76 | |||||||||
|
| 3.90 | 0.58 | 0.19 | 0.15 | 0.15 | 1 | ||||
| is generally trusting | 0.81 | |||||||||
| is considerate and kind to almost everyone | 0.76 | |||||||||
|
| 3.43 | 0.87 | 0.09 | 0.05 | −0.02 | 0.07 | 1 | |||
| has few artistic interests | 0.83 | |||||||||
| has an active imagination | 0.82 | |||||||||
| TP | LC | PA | COM | EV | FB | |||||
|
| ||||||||||
|
| 3.85 | 0.42 | 1 | |||||||
|
| 3.90 | 0.47 | 0.883 | 1 | ||||||
| encourages residents to participate actively in discussions | ||||||||||
| stimulates residents to bring up problems | ||||||||||
| motivates residents to study further | ||||||||||
| stimulates residents to keep up with the literature | ||||||||||
| prepares well for teaching presentations and talks | ||||||||||
|
| 4.28 | 0.48 | 0.646 | 0.455 | 1 | |||||
| listens attentively to residents | ||||||||||
| is respectful towards residents | ||||||||||
| is easily approachable during on-calls | ||||||||||
|
| 3.45 | 0.59 | 0.861 | 0.689 | 0.417 | 1 | ||||
| states learning goals clearly | ||||||||||
| states relevant goals | ||||||||||
| prioritizes learning goals | ||||||||||
| repeats stated learning goals periodically | ||||||||||
|
| 3.79 | 0.47 | 0.848 | 0.745 | 0.364 | 0.681 | 1 | |||
| evaluates residents' specialty knowledge regularly | ||||||||||
| evaluates residents' analytical abilities regularly | ||||||||||
| evaluates residents' application of knowledge to specific patients regularly | ||||||||||
| evaluates residents' medical skills regularly | ||||||||||
|
| 3.94 | 0.49 | 0.870 | 0.666 | 0.660 | 0.674 | 0.657 | 1 | ||
| gives positive feedback to residents regularly | ||||||||||
| gives corrective feedback to residents | ||||||||||
| explains why residents are incorrect | ||||||||||
| offers suggestions for improvement | ||||||||||
Goodness of fit indices from confirmatory factor analysis: CFI = 0.977; TLI = 0.959; RMSEA = 0.032; SRMR = 0.034. There were no material differences across specialties.
*Correlation is significant at the 0.05 level.
**Correlation is significant at the 0.01 level.
Negative formulated item; score was positively recoded before factor analyzing.
Unstandardized regression coefficients (B) of associations of attending physicians' personality traits with teaching performance domains.
| All specialties | Surgical specialties | Non-surgical specialties | Personality-Specialty | ||||
| B (95% CI | p | B (95% CI | p | B (95% CI | p | p | |
|
| |||||||
|
| 0.05 (0.01–0.10) | 0.019 | 0.02 (−0.04–0.08) | 0.505 | 0.07 (0.00–0.13) | 0.048 | 0.284 |
|
| 0.00 (−0.06–0.06) | 0.983 | −0.02 (−0.09–0.04) | 0.471 | 0.03 (−0.07–0.13) | 0.562 | 0.239 |
|
| 0.05 (−0.01–0.10) | 0.115 | 0.02 (−0.05–0.09) | 0.581 | 0.08 (−0.02–0.17) | 0.109 | 0.552 |
|
| −0.03 (−0.08–0.02) | 0.194 | 0.02 (−0.05–0.09) | 0.532 | −0.06 (−0.13–0.00) | 0.057 | 0.250 |
|
| −0.03 (−0.08–0.01) | 0.147 | −0.08 (−0.13–0.03) | 0.004 | −0.01 (−0.07–0.06) | 0.830 | 0.050 |
| N | 494 | 229 | 265 | ||||
| QICC | 92.748 | 42.711 | 64.287 | ||||
|
| |||||||
|
| 0.06 (0.02–0.11) | 0.009 | 0.03 (−0.04–0.09) | 0.455 | 0.08 (0.02–0.15) | 0.017 | 0.234 |
|
| 0.01 (−0.06–0.08) | 0.775 | −0.02 (−0.10–0.07) | 0.701 | 0.06 (−0.04–0.17) | 0.246 | 0.114 |
|
| 0.07 (0.01–0.14) | 0.032 | 0.04 (−0.03–0.12) | 0.238 | 0.11 (−0.00–0.22) | 0.059 | 0.601 |
|
| −0.05 (−0.11–0.00) | 0.049 | −0.01 (−0.09–0.07) | 0.854 | −0.08 (−0.15–0.01) | 0.020 | 0.432 |
|
| −0.02 (−0.07–0.04) | 0.497 | −0.05 (−0.12–0.03) | 0.244 | −0.02 (−0.09–0.06) | 0.658 | 0.354 |
| N | 499 | 229 | 270 | ||||
| QICC | 120.090 | 57.107 | 74.418 | ||||
|
| |||||||
|
| −0.01 (−0.06–0.04) | 0.664 | −0.04 (−0.10–0.02) | 0.209 | 0.01 (−0.07–0.08) | 0.849 | 0.176 |
|
| 0.02 (0.03) | 0.514 | −0.01 (−0.08–0.05) | 0.743 | 0.04 (−0.06–0.15) | 0.445 | 0.409 |
|
| −0.01 (−0.08–0.05) | 0.688 | −0.00 (−0.08–0.07) | 0.901 | −0.02 (−0.14–0.10) | 0.773 | 0.897 |
|
| 0.10 (0.05–0.16) | 0.000 | 0.10 (0.04–0.16) | 0.001 | 0.11 (0.02–0.20) | 0.014 | 0.430 |
|
| −0.04 (−0.07–0.00) | 0.058 | −0.08 (−0.12–0.04) | 0.000 | −0.01 (−0.07–0.05) | 0.847 | 0.050 |
| N | 467 | 216 | 251 | ||||
| QICC | 93.654 | 40.161 | 68.534 | ||||
|
| |||||||
|
| 0.07 (0.02–0.13) | 0.009 | 0.05 (−0.02–0.13) | 0.183 | 0.08 (0.04) | 0.064 | 0.884 |
|
| −0.04 (−0.11–0.04) | 0.329 | −0.03 (−0.13–0.06) | 0.507 | −0.03 (0.06) | 0.662 | 0.905 |
|
| 0.11 (0.02–0.19) | 0.017 | 0.06 (−0.05–0.16) | 0.288 | 0.16 (0.07) | 0.029 | 0.447 |
|
| −0.07 (−0.15–0.01) | 0.073 | −0.00 (−0.12–0.11) | 0.982 | −0.12 (0.05) | 0.016 | 0.222 |
|
| −0.03 (−0.09–0.04) | 0.396 | −0.08 (−0.16–0.01) | 0.035 | 0.00 (0.05) | 0.0947 | 0.122 |
| N | 487 | 229 | 258 | ||||
| QICC | 167.866 | 69.606 | 66.910 | ||||
|
| |||||||
|
| 0.06 (0.00–0.12) | 0.037 | 0.02 (−0.04–0.09) | 0.438 | 0.07 (−0.02–0.16) | 0.105 | 0.297 |
|
| −0.00 (−0.07–0.06) | 0.870 | −0.05 (−0.11–0.01) | 0.079 | 0.02 (−0.10–0.14) | 0.733 | 0.167 |
|
| 0.03 (−0.03–0.10) | 0.319 | 0.03 (−0.05–0.11) | 0.507 | 0.06 (−0.06–0.17) | 0.340 | 0.858 |
|
| −0.02 (−0.06–0.06) | 0.982 | 0.04 (−0.03–0.11) | 0.238 | −0.02 (−0.11–0.07) | 0.678 | 0.743 |
|
| −0.04 (−0.08–0.01) | 0.163 | −0.10 (−0.15–0.05) | 0.000 | 0.01 (−0.06–0.08) | 0.805 | 0.008 |
| N | 501 | 229 | 272 | ||||
| QICC | 123.095 | 47.345 | 88.938 | ||||
|
| |||||||
|
| 0.06 (0.01–0.11) | 0.011 | 0.02 (−0.05–0.09) | 0.531 | 0.08 (0.01–0.15) | 0.019 | 0.167 |
|
| 0.02 (−0.03–0.08) | 0.429 | 0.00 (−0.08–0.08) | 0.955 | 0.06 (−0.04–0.15) | 0.219 | 0.175 |
|
| 0.04 (−0.03–0.11) | 0.299 | −0.04 (−0.13–0.04) | 0.333 | 0.13 (0.03–0.22) | 0.014 | 0.039 |
|
| −0.08 (−0.14– −0.02) | 0.008 | 0.00 (−0.08–0.08) | 0.999 | −0.14 (−0.21–0.06) | 0.000 | 0.133 |
|
| −0.04 (−0.09–0.01) | 0.119 | −0.10 (0.03–0.04) | 0.002 | −0.01 (−0.08–0.06) | 0.818 | 0.040 |
| N | 500 | 229 | 271 | ||||
| QICC | 127.259 | 54.303 | 85.491 | ||||
All analyses were controlled for confounders, namely, gender and age.
QICC = Corrected Quasi Likelihood under Independence Model Criterion: information criterion in smaller-is-better form; that is, the model with the smallest QICC has the best goodness of fit.
CI = confidence interval.
Interaction term of personality (trait) and specialty.