Tools for the evaluation, improvement and promotion of the teaching excellence of faculty remain elusive in residency settings. This study investigates (i) the reliability and validity of the data yielded by using two new instruments for evaluating the teaching qualities of medical faculty, (ii) the instruments' potential for differentiating between faculty, and (iii) the number of residents' evaluations needed per faculty to reliably use the instruments.
Methods and Materials
Multicenter cross-sectional survey among 546 residents and 629 medical faculty representing 29 medical (non-surgical) specialty training programs in the Netherlands. Two instruments—one completed by residents and one by faculty—for measuring teaching qualities of faculty were developed. Statistical analyses included factor analysis, reliability and validity exploration using standard psychometric methods, calculation of the numbers of residents' evaluations needed per faculty to achieve reliable assessments and variance components and threshold analyses.
A total of 403 (73.8%) residents completed 3575 evaluations of 570 medical faculty while 494 (78.5%) faculty self-evaluated. In both instruments five composite-scales of faculty teaching qualities were detected with high internal consistency and reliability: learning climate (Cronbach's alpha of 0.85 for residents' instrument, 0.71 for self-evaluation instrument, professional attitude and behavior (0.84/0.75), communication of goals (0.90/0.84), evaluation of residents (0.91/0.81), and feedback (0.91/0.85). Faculty tended to evaluate themselves higher than did the residents. Up to a third of the total variance in various teaching qualities can be attributed to between-faculty differences. Some seven residents' evaluations per faculty are needed for assessments to attain a reliability level of 0.90.
Citation: Arah OA, Hoekstra JBL, Bos AP, Lombarts KMJMH (2011) New Tools for Systematic Evaluation of Teaching Qualities of Medical Faculty: Results of an Ongoing Multi-Center Survey. PLoS ONE 6(10): e25983. https://doi.org/10.1371/journal.pone.0025983
Editor: Tanya Horsley, The Royal College of Physicians and Surgeons of Canada, Canada
Received: January 17, 2011; Accepted: September 14, 2011; Published: October 14, 2011
Copyright: © 2011 Arah et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: This study was financed by the Academic Medical Center, Amsterdam, The Netherlands. Dr. Arah is also supported by a Grant (Veni # 916.96.059) from The Netherlands Organization for Scientific Research (NWO). No additional external funding was received for this study. For his contributions Dr. Arah received honoraria from the Department of Quality Management and Process Innovation of the Academic Medical Center (AMC), Amsterdam. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have read the journal's policy and have the following conflicts: For the SETQ study the Academic Medical Center (AMC) is collaborating with the provider of the electronic feedback reports, Medox.nl. AMC and Medox.nl received a fee per delivered feedback report from the participating teaching hospitals. There are no patents. Dr. Lombarts, Dr. Hoekstra and Dr. Bos are employed by the AMC. These stated interests do not alter the authors' adherence to all the PLoS ONE's policies on sharing data and materials.
The quality of current and future health care delivery is mainly dependent on the quality of graduate medical education (GME) –. In many western health care delivery systems, GME is now being reformed to be more responsive to changing societal needs and health care delivery systems. Various organizations such as the Royal Society of Physicians and Surgeons of Canada (RCPSC), the American College of Physicians (ACP), the American Association of Program Directors in Internal Medicine (APDIM), the British General Medical Council (GMC) and the Dutch Central College of Medical Specialists (CCMS) involved in GME in Northern America and Europe have published their directives, position papers or recommendations for educational reform –. These reform proposals all stress the explicit (expanded) responsibilities of program leaders for the oversight of their teaching programs' quality, including faculty performance. In striving to maintain high quality teaching programs, faculty (self-)evaluation is no longer controversial at most teaching centers. Both feedback from residents and self-evaluation are recognized mechanisms for identifying weaknesses and strengths, and have been shown to be effective in enhancing performance –. However, in the face of rapid change such as the introduction of competency-based residency training, the development of effective means of faculty (self-)evaluation is a real concern. Effective evaluation entails the use of scientifically sound and practically feasible measurement instruments and processes. It also entails faculty's reflection on the evaluation results, preferably with others , , followed by tailor-made individual enhancement trajectories , .
Although validated evaluation instruments have been published over the years , , they cannot and should not be used indiscriminately in both new and old settings without relevant revalidation and updating. Recent psychometric studies underscore the importance of viewing validation as an ongoing process –. Measurement instruments need to be validated and updated for their continuous use in the various local, cultural and educational contexts as well as for specific groups. More importantly, any such instruments should be embedded in an effective and efficient system of feedback, support and learning.
In order to help fill the gap on reliable and valid instruments for faculty's teaching qualities embedded in an appropriate system of feedback, support and learning, we developed a new system, named System for Evaluation of Teaching Qualities, or SETQ, to support both residents' and self-evaluation of medical faculty. The (formative) core aim of the SETQ system is to increase faculties' insight in teaching performance for the purpose of self-directed learning, and ultimately, improving teaching skills in graduate medical education. In the SETQ, increased insight among faculty is achieved by annually receiving feedback from residents and by self-evaluating one's own teaching performance. Briefly, the SETQ initiative comprises four components: (i) a web-based residents' evaluation of faculty, (ii) a web-based self-evaluation by faculty, (iii) individualized faculty feedback, and (iv) individualized faculty follow-up support –. From a methodological perspective, combining various assessment methods should lead to more valid multi-source assessment of performance in real settings , . The success of an integrated system such as the SETQ will depend on the separate and combined properties and impact of the system components. Hence, each component requires careful assessment of its properties. This paper focuses on the first two components of the SETQ by exploring the properties of the two evaluation instruments used in the system. More concretely, this paper aims to: (a) explore the reliability and validity of data yielded by using the two instruments underlying the SETQ for medical faculty; (b) investigate the between-faculty differentiating abilities of the SETQ instruments by quantifying the extent to which the instruments detect between-faculty differences; and (c) determine the feasibility of deploying SETQ in terms of the number of residents' evaluations per faculty needed for reliable feedback.
Materials and Methods
System for Evaluation of Teaching Qualities (SETQ)
We first place this study in context by describing the SETQ system. The SETQ system was initially developed in the anesthesiology department of a large academic medical center in the Netherlands , . Based on its successful launch and positive feedback, SETQ was later offered to other clinical departments-and other hospitals-interested in assessing and improving the teaching qualities of faculty members. The introduction of SETQ to other clinical departments included the development of specialty-specific modules. Three years after its introduction, SETQ is now being used by almost 150 residency training programs in 31 teaching hospitals. Approximately 1800 faculty and 1700 residents are now involved in the continuous, longitudinal (self-)evaluation of teaching qualities of faculty. The SETQ is typically implemented within residency programs in three phases. During the first phase, data on teaching qualities are collected using two web-based instruments, one for evaluation of faculty by residents, and another for self-evaluation by faculty. In the second phase, individualized feedback reports are generated for each faculty displaying the outcomes of both types of evaluations. The averaged outcomes of colleagues are reported for reference purposes. The third phase, which is not mandatory for all training programs, involves discussing the individualized reports with each individual faculty and head of department. The aim of the discussion is to facilitate acceptance of the feedback and, if needed, define concrete steps towards improvement. Aggregated residency program level results are used to discuss each program's strengths and weaknesses.
Study Population and Setting
From September 2008 to June 2010, 16 hospitals offered SETQ participation to 546 residents and 629 faculty of 29 medical (non-surgical) specialty training programs. All medical residents and teaching faculty were invited via electronic mail to participate in the SETQ evaluations. The invitation emphasized the formative purpose and anonymous use of the evaluations. Residents were instructed to evaluate only faculty they had been sufficiently exposed to during their training so far. Residents chose which and how many faculty to evaluate. Each faculty could only self-evaluate. The two evaluation instruments were made electronically accessible via a dedicated SETQ web portal protected by a password login. Automatic email reminders were sent after 10 days, 20 days and on the day before closing the data collection period. At clinical meetings, the training program director and/or department head encouraged faculty and residents to participate in the anonymous SETQ evaluations. The data collection lasted one month.
The Two Instruments
The development of the SETQ instruments for medical faculty, like that of anesthesiology , was based on the widely used 26-item Stanford Faculty Development Program (SFDP26) questionnaire –. The SFDP26 is used mostly in Northern American settings, but with few recent published studies on its properties in the last ten years –. The SFDP26 was based on educational and psychological theories of learning and empirical observations of clinical teaching, and was found to evaluate seven categories of clinical teaching. Many of the core items in the medical SETQ instruments were based on the SFDP-26. The details of the initial instrument adaptation and development involving translations, rounds of discussions, and a specialty taskforce are described elsewhere , . Our recent studies showed that the adapted instruments provide reliable and valid evaluations of teaching qualities of faculty in a major academic medical center –, . Through a process of consulting faculty and residents we developed two instruments per specialty: one resident-completed and one faculty self-evaluation instrument. The length of the instruments varied per specialty and could be up to 33 items. Although the instruments were specialty-specific due to the addition of supplemental items, they all shared 23 core items. Each core item had a 5-point Likert-type response: strongly disagree, disagree, neutral, agree, strongly agree. Each instrument also included two global ratings that are not part of the SETQ core items. The ratings addressed ‘faculty being seen as role model medical specialist’ and ‘faculty's overall teaching quality’ respectively. The global rating ‘faculty being seen as role model medical specialist’ had the same response scale as the 23 core items. For the global rating ‘faculty's overall teaching quality’, the 5-point Likert-type response was 1 (poor), 2 (fair), 3 (average), 4 (good), and 5 (excellent).
To address the aforementioned three main objectives, four main groups of analysis were conducted. First, descriptive statistics were calculated to describe the participating residents and faculty. Second, to address the first objective of this study, that is, the reliability and validity of the residents-completed and faculty-completed SETQ instruments, we conducted exploratory factor analysis, as well as reliability coefficient, item-total scale correlation, interscale correlation, and scale versus global ratings correlation analyses , . The factor analysis used the principal components technique with Promax oblique rotation ,  to explore the factor or composite-scale structure of both instruments. Although the Likert responses for the items were ordinal, we assumed the items to be interval as we expected the results to be robust to this assumption. To check for sensitivity of our findings to the interval assumption, we also re-did the factor analysis using polychoric correlation matrix that is technically more appropriate for ordinal data than the conventional Pearson's correlation matrix is. The number of extracted factors was based on the extraction criterion of eigenvalues-greater-than-1.0 from the Kaiser-Guttman rule, the result of which was subsequently triangulated by a priori specifying the number of factors to be extracted as five. Each item was assigned to the factor on which they loaded with at least a factor loading of 0.30 (to avoid low-loading items and in line with the literature). In the case of cross-factor loadings, an item was assigned to where it loaded the highest factor unless it was theoretically appropriate to leave it under the factor on which it loaded the second highest. Subsequently, each composite-scale was calculated as an average of the items that loaded the highest on it. To examine the instruments' reliability, the internal consistency reliability coefficient (Cronbach's alpha) for each scale was calculated, guided by the structuring results of the factor analysis. A Cronbach's alpha of at least 0.70 was considered satisfactory . Item-total scale correlations that were corrected for item overlap (that is, eliminating the respective items one at a time from the composite-scale) were then used to check for the sensitivity of the homogeneity of the composite-scales to individual items . Item-total scale correlations of 0.40 or higher were considered acceptable evidence of contribution of each item to the scale homogeneity. Inter-scale correlations for residents and faculty separately were used to check for the interpretability of the composite-scales as distinct albeit correlated constructs (for correlations ≤0.70) . To explore the construct validity of the instruments further, we estimated the correlations between the composite-scales and the two global ratings, ‘faculty being seen as role model internists’ and ‘faculty's overall teaching quality’. This convenient validation approach was aimed at yielding preliminary results as part of what is envisaged as an ongoing cumulative exercise that will be updated in subsequent work and over time , , . We hypothesized that faculty that received higher composite-scale scores would receive similarly higher global ratings, thus leading to higher correlations. Here, we applied both Pearson's (parametric) and Spearman's (nonparametric) correlations to check the robustness of treating the composite-scale scores as interval variables while the global ratings were ordinal. As has been reported elsewhere , , correlations of 0.40 to 0.80 between the scales and global ratings were considered appropriate.
Third, to quantify the extent to which the instruments differentiated between faculty, we used variance components decomposition from the cross-classified multilevel regression modeling of our hierarchical data , , to separate out what percentages of the total variance in each composite-scale score and each related item score were possibly due to between-faculty differences. Each percentage of the total variance possibly attributable to between-faculty differences was also recalculated after excluding the residual score-level variance. This recalculation allowed for the quantification of the percentage of the combined resident-, faculty-, program- and hospital-level variance that was due to only between-faculty differences after removing residual ‘unexplainable’ variance. Furthermore, using a threshold score of 3.5, we also estimated the percentage of faculty who were scored below 3.5 on each item and composite-scale. The threshold was set as a subjective cut-point reflecting our knowledge of the median in the frequently skewed data from our educational assessments . Beyond detectable between-faculty differences, this last analysis was aimed at producing some steering information by giving insight into improvement opportunities at the faculty group level. Individual faculty enhancement goals can be set regardless of this or any absolute score.
Fourth and finally, we tackled the objective of estimating the number of residents' evaluations per faculty needed for reliable assessment and feedback using published methods , , –. We estimated that, in order to achieve the reliability levels comparable to those in this study, any future evaluations must have per-faculty sample sizes proportional to those observed here. Hence, for target reliability coefficients smaller (or larger) than those observed here, the number of residents' evaluations needed per-faculty should be smaller (or larger) than was actually observed. In line with previous work , the estimation was repeated for reliability levels of 0.60, 0.70, 0.80 and 0.90. As sensitivity analysis to cross-check our estimates based on traditional formulas, we re-estimated the reliability (Cronbach's alpha) of each composite-scale of the residents' SETQ instrument for different numbers of residents' evaluations per faculty, namely 2 to 4, 5 to 8, 9 to12 and more than 12 evaluations per faculty.
All analyses were conducted using the general-purpose statistical softwares PASW Statistics version 18.0.0 for Mac (IBM SPSS Inc, 2009), SAS version 9.2 (SAS Institute, Cary, NC, 2008), and Microsoft Excel 2008 for Mac version 12.2.6 (Microsoft Corporation, 2007). Although under Dutch law institutional review board approval was not required for this study we have taken all necessary precautions to guarantee and protect the anonymity and confidentiality of our study participants, including written consent to the use of the data for research purposes by the SETQ research group at the Academic Medical Center of the University of Amsterdam (AMC). Researchers do not have access to data identifying individual SETQ participants.
Table 1 shows the characteristics of the participating residents and faculty. In total, 403 residents from every residency year and 494 faculty members participated in the study yielding response rates of 73.8% and 78.5% respectively. Residents evaluated 570 (91%) of all faculty, yielding a total of 3,575 evaluations or about 6.2 evaluations per faculty on average.
Reliability and Validity of the Resident and Faculty SETQ Instruments
Table 2 gives an overview of the factor loadings, Cronbach's alpha, and corrected item-total correlations for both instruments separately. The factor analysis yielded five composite-scales of faculty's teaching qualities: ‘learning climate’ (items L1 to L7), ‘professional attitude and behavior towards residents’ (items P1 to P3), ‘communication of goals’ (items C1 to C5), ‘evaluation of residents’ (items E1 to E4), and ‘feedback’ (items F1 to F4). The factor loadings in the resident analysis were all above 0.70, except for three items in the scale ‘learning climate’ which still loaded as high as 0.60 (L1) and 0.59 (L2, L3). In the faculty instrument, four of the constructs achieved good overall factor loadings (0.67–0.88). ‘Learning climate' contained three items (L3, L4, L7) with lower factor loadings (0.24, 0.33, and 0.44 respectively) in the faculty instrument. For both instruments, the additional factor analysis based on the polychoric correlation matrix yielded factor loadings higher than, yet similar to, those based on the conventional Pearson's correlation matrix. Both approaches yielded the same factor structure, hence essentially the same conclusion.
In the residents' instrument, Cronbach's alpha was above 0.84 for each composite-scale. For the faculty instrument, Cronbach's alpha was 0.74 or higher for the five scales. In both instruments, the item-total correlations were all above 0.40 for all items within their respective scales, with the exception of three items (L3, L4, L7) that had item-total correlations of 0.33, 0.27, and 0.36 respectively with ‘learning climate’ in the faculty instrument.
For the residents' instrument, the inter-scale correlations ranged from 0.37 (P<0.001) between ‘professional attitude and behavior towards residents’ and ‘evaluation of residents’ to 0.61 (P<0.001) between ‘learning climate’ and both ‘evaluation of residents’ and ‘communication of goals’ (Table 3). For the faculty instrument, the inter-scale correlations ranged from 0.25 (P<0.001) between ‘professional attitude towards residents’ and ‘communication of goals’ to 0.56 (P<0.001) between ‘learning climate’ and ‘feedback’.
Table 4 displays the results of validation of the scales by way of their theoretically expected correlations with two global ratings ‘faculty being seen as role model medical specialist’ and ‘overall teaching quality’. For the residents’ instrument, the composite-scales exhibited correlations ranging from 0.48 to 0.61 with global rating ‘faculty being seen as role model medical specialist’ and ‘overall teaching quality’. The correlations were somewhat higher for the global rating ‘overall teaching quality’. For the faculty instrument, the correlations with both global ratings were in the ranges 0.35 to 0.48 and 0.29 to 0.48 respectively.
Differentiating Between Individual Faculty Performance
Table 5 shows the results on how well the instruments differentiated between faculty. For contextualization purposes, the first part of table 5 shows the median scores for the five teaching scales and their 23 items as well as the 20th and 80th percentile scores. On a scale of 1 to 5, faculty evaluated themselves highly, with their median scale scores ranging from 3.00 for ‘communication of goals’ to 4.00 for ‘professional attitude towards residents’ and 4.00 for ‘feedback’. Residents evaluated their faculty with scores ranging from 3.12 for ‘communication of goals’ to 4.07 for ‘professional attitude towards residents.’
Further, table 5 reports the results of the variance components analysis to determine how much of the variation was due to between-faculty differences per scale and item. The third column shows that about 16% (‘feedback to residents’) to 30% (‘professional attitude’) of the total variance in the composite-scales can be attributed to between-faculty differences. Upon exclusion of the residual variance, these percentages increased to 41% for ‘feedback’ and 54% for ‘professional attitude’ (column 4 of Table 5). These numbers are higher for some individual items that load on each composite-scale. Finally, the last column displays the percentage of faculty evaluated below the pre-defined performance level of 3.5. The item where most (85.7%) faculty did not reach the threshold was item C5, ‘Offers to conduct mini-CEX (clinical examination exercise) regularly’. Only 7% was evaluated as not reaching 3.5 on item P2 (‘is respectful to residents’). There were wide variations across scales and items in the percentage of faculty evaluated by residents as scoring below 3.5.
Number of Residents' Evaluations Per Faculty Needed
For producing reliable feedback reports at various levels of reliability, we found that, for each of the 5 teaching qualities, 4 residents' evaluations are needed to achieve reliability of at least 0.60. To achieve a reliability level of 0.70 or 0.80 a minimum number of 5 respectively 6 residents' evaluations is required. For a reliability of 0.90, 7 residents' evaluations per faculty appear adequate. (Tables 6 and 7).
This study found that the two instruments underlying the SETQ system seemed reliable and valid for the evaluation of the teaching qualities of medical faculty within residency training programs. Residents' evaluations could differentiate between high and low performing teaching faculty. High proportion of the total variance could be attributed to between-faculty differences, indicating possible roles for faculty-specific factors as explanations. Finally, for reliable , ,  assessment of medical faculty, we found that 4 to 7 residents' evaluations per faculty were needed to achieve reliability coefficients of 0.60 to 0.90. This would be attainable for most medical residency training programs as we observed in our study.
Limitations and Sensitivity Analysis
Before discussing the findings, a few limitations of this study should be explored. First, the cross-sectional design of this study does not support assessment of test-retest reliability. However, the high levels of inter-rater reliability found here suggest that the intra-observer reliability can only be higher , . Second, the findings presented here may not be generalizable to surgical residents and faculty since those residency programs may have their own structures and cultures. Work is currently being done to replicate the findings of our studies in surgical settings. Finally, in some places such as in the factor analysis and the correlation of composite-scales with global ratings we treated ordinal variables as interval because we expected our parametric analysis of ordinal data to remain robust –. Indeed, this was the case as can be seen in Tables 2 and 4. In particular, although it is appropriate to use a polychoric correlation matrix for the factor analysis of ordinal data, our finding that the factor analysis based on the more appropriate polychoric correlation matrix yielded higher but similar factor loadings and factor structure as that based on the commonly used Pearson's correlation matrix is reassuring but not surprising. This finding that the two results reached essentially the same conclusion is in line with the well-documented remarkable robustness of the Pearson's correlation and of other related parametric methods when applied to settings where their assumptions were violated –.
Explanation of Results
Residency programs are increasingly defined in terms of what is expected from residents by the end of their training , . This shift towards competency-based residencies requires clinical teachers to review, reorient and potentially improve their teaching qualities. Our study showed that the SETQ instruments developed can be adapted for the systematic evaluation of medical faculty responsible for training their future colleagues. This study provides empirical support for the reliability and validity of the results obtained from the residents- and self-completed instruments for medical faculty evaluations. Compared to the SETQ instruments developed for anesthesiology faculty ,  the 23-item medical SETQ instruments show slightly better qualities. The results of the reliability and validity analysis indicate that we could tap into five domains seen as relevant aspects of teaching by both residents and faculty. We observed that two items (L3 and L4) show low factor loadings and corrected item-total correlations in the faculty-completed instrument. In two other smaller studies ,  we reported similar findings suggesting that it may reflect faculty's different perception of teaching compared to residents. In the original SFDP26 instrument, these two items were on a separate scale (named ‘control of session’); however, this instrument was not administered to faculty but to residents only. Given the ambiguous findings, we decided to maintain the items in both instruments but will continue to study the uniqueness of the problematic items L3 and L4 in future research.
Based on the finding that good clinician-educators make good role model medical specialists for residents –, the correlations of each of the five composites or domains with the global rating of being seen as role model medical specialists offer intuitive support for the five teaching domains as part of the phenomenon of clinical teaching (Table 4). If the five composites addressed various teaching qualities and the one-item global rating on overall teaching quality did so similarly, then we could expect the composites to correlate at least moderately with the global rating (as indeed was the case). The latter correlations should not, however, be too high (for example, greater than 0.80) because that would point to redundancy of the entire instrument , . That is, excessively high correlations of more than 0.80 could imply that the entire 23-item instrument could be reduced to only one or two global items. Our findings of correlations less than 0.80 (actual results ranging from 0.25 to 0.61) provide some additional, hypothesis-based (construct) validation of the SETQ instruments.
Part of the educational reforms going on worldwide is the transition from faculty being ‘merely’ clinical experts to faculty becoming all-round professionals , , including being high performing teachers, supervisors and role models for their future colleagues. Our study showed that not all teaching faculty were performing at the same high level yet. Residents' evaluations exposed the differences between individual clinician-educators. For the various teaching scales and items, residents-of-faculty scores varied by up to two points on the relatively narrow five point instrument. Clearly, there is room for improvement for individual faculty–in fact for all individual faculty scoring less than the perfect 5-particularly since the reported variance can be ascribed for a great part to differences caused by factors related to faculty's behavior, attitude or characteristics. As part of the SETQ system faculty should reflect on their individual feedback results, preferably facilitated by program leaders since guided reflection is more effective in achieving change , . Next, improvement goals when appropriate should be defined and pursued. Many teaching hospitals have mechanisms in place to assist faculty to achieve advancement, including faculty development programs , –. Understandably, this requires supportive institutional leadership, appropriate resource allocation, and recognition for teaching excellence . In addition, program leaders may want to map the program's strengths and weaknesses for priority setting and policymaking by defining (minimum or optimal) performance level expectations for each faculty. We illustrated how this would turn out when the SETQ performance level was targeted at 3.50 (Table 5). In the Netherlands, where a formative approach is favoured , clinician-educators who do not pass the preset teaching standard would then be encouraged and supported to improve their performance. In more summative contexts, where trainee evaluations are often considered the most important performance measure  the SETQ results could be part of faculty's promotion or reward systems.
Implications for Clinical Education, Research and Policy
Good clinical teachers are indispensable to academic medical centers as they contribute to excellence in patient care and medical training. The increased public demand for excellence and the introduction of competency-based residencies should drive the development of formative systems that facilitate the continuous improvement of teaching performance. One such formative system is the SETQ. The demonstrated results of the SETQ instruments could also support use in a more summative context. The SETQ was built to support faculty in their self-directed learning efforts, assuming that motivation for professional development remains a priority (acquired or inherent) characteristic of physicians. Anecdotal reports from faculty confirm that they do discuss their feedback with program leaders, peers, and/or family members and that the individualized feedback reports have increased their awareness about their teaching qualities. Residents claimed they observed improved teaching performance and our preliminary studies seem to confirm these claims (unpublished internal report). Our current studies aim at determining whether resident-of-faculty feedback and faculty self-evaluations improve clinical teaching.
Clearly, SETQ is and should be a dynamic system. Future research will have to focus on explaining and reducing the variation in teaching qualities between faculty members with the objective of also improving teaching abilities of clinician-educators. Ultimately, research should be conducted to investigate the impact of teaching qualities on residents' and patients' outcomes.
The SETQ instruments seem to yield reliable and valid measurements and could reasonably be implemented in medical residencies. The instruments have good between-faculty differentiating abilities. Faculty feedback seems useful for increasing awareness and designing faculty development tracks, both at individual and group levels. This study went further than previous work by including the voice of the faculty in self-evaluating teaching qualities in order to support self-directed learning.
We thank all medical faculty and residents who participated in this study. We also thank Medox.nl for the development of the web application. Lastly, we thank The Heusden Crew for their splendid social support while we wrote this paper.
Conceived and designed the experiments: OAA MJMHL JBH APB. Performed the experiments: OAA MJMHL JBLH APB. Analyzed the data: OAA MJMHL. Contributed reagents/materials/analysis tools: OAA MJMHL. Wrote the paper: OAA MJMHL.
- 1. Holmboe ES, Bowen JL, Green M, Gregg J, DiFrancesco L, et al. (2005) Reforming internal medicine residency training. A report from the Society of General Internal Medicine's task force for residency reform. J Gen Intern Med 20: 1165–1172.ES HolmboeJL BowenM. GreenJ. GreggL. DiFrancesco2005Reforming internal medicine residency training. A report from the Society of General Internal Medicine's task force for residency reform.J Gen Intern Med2011651172
- 2. O'Malley PG, Khandekar JD, Phillips RA (2005) Residency training in the modern era: the pipe dream of less time to learn more, care better, and be more professional. Arch Intern Med 165: 2561–2562.PG O'MalleyJD KhandekarRA Phillips2005Residency training in the modern era: the pipe dream of less time to learn more, care better, and be more professional.Arch Intern Med16525612562
- 3. AGME website.Accreditation Council for Graduate Medical Education. Residency Competency Evaluation. AGME website.Accreditation Council for Graduate Medical Education. Residency Competency Evaluation.Available: www.acgme.org/acWebsite/resEvalSystem/reval_urology.asp. Accessed 2011, Sep 27. Available: www.acgme.org/acWebsite/resEvalSystem/reval_urology.asp. Accessed 2011, Sep 27.
- 4. American Board of Internal Medicine AF, American College of Physicians-American Society of Internal Medicine A-AF (2002) European Federation of Internal Medicine: Medical professionalism in the new millennium: a physician charter. Ann Intern Med 136: 243–246.AF American Board of Internal MedicineAmerican College of Physicians-American Society of Internal Medicine A-AF2002European Federation of Internal Medicine: Medical professionalism in the new millennium: a physician charter.Ann Intern Med136243246
- 5. Frank JR (2004) The CanMEDS project: the Royal College moves medical education into the 21st century. Royal College Outlook 1: 27–29.JR Frank2004The CanMEDS project: the Royal College moves medical education into the 21st century.Royal College Outlook12729
- 6. Fitzgibbons JP, Bordley DR, Berkowitz LR, Miller BW, Henderson MC (2006) Redesigning Residency Education in Internal Medicine: A Position Paper from the Association of Program Directors in Internal Medicine. Ann Intern 144: 920–926.JP FitzgibbonsDR BordleyLR BerkowitzBW MillerMC Henderson2006Redesigning Residency Education in Internal Medicine: A Position Paper from the Association of Program Directors in Internal Medicine.Ann Intern144920926
- 7. Weinberger SE, Smith LG, Collier VU (2006) for the Education Committee of the American College of Physicians: Redesigning Training for Internal Medicine Ann Intern Med 144: 927–932.SE WeinbergerLG SmithVU Collier2006for the Education Committee of the American College of Physicians: Redesigning Training for Internal Medicine Ann Intern Med144927932
- 8. General Medical Council (2010) Quality Framework for Specialty including GP training. London: GMC. General Medical Council2010Quality Framework for Specialty including GP training.LondonGMC
- 9. Central College of Medical Specialties (CCMS) (2009) Competency profile and supervisor. Utrecht: CCMS; (In Dutch). Central College of Medical Specialties (CCMS)2009Competency profile and supervisor.UtrechtCCMS; (In Dutch)09-60842. 09-60842.
- 10. Netherlands Federation of University Medical Centers (NFU) (2010) De medisch specialist van straks; Toekomstscenario's medische vervolgopleidingen. Utrecht: NFU; (In Dutch). Netherlands Federation of University Medical Centers (NFU)2010De medisch specialist van straks; Toekomstscenario's medische vervolgopleidingen.UtrechtNFU; (In Dutch)
- 11. Duffy FD, Lynn LA, Didura H, Hess B, Caverzagie K, et al. (2008) Self-assessment of practice performance: development of the ABIM Practice Improvement Module (PIM). J Contin Educ Health Prof 28: 38–46.FD DuffyLA LynnH. DiduraB. HessK. Caverzagie2008Self-assessment of practice performance: development of the ABIM Practice Improvement Module (PIM).J Contin Educ Health Prof283846
- 12. Duffy FD, Holmboe ES (2006) Self-assessment in lifelong learning and improving performance in practice: physician know thyself. JAMA 296: 1137–1139.FD DuffyES Holmboe2006Self-assessment in lifelong learning and improving performance in practice: physician know thyself.JAMA29611371139
- 13. Eva KW, Regehr G (2005) Self-assessment in the health professions: a reformulation and research agenda. Acad Med 80: 10 SupplS46–S54.KW EvaG. Regehr2005Self-assessment in the health professions: a reformulation and research agenda.Acad Med8010 SupplS46S54
- 14. Gien LT (1991) Evaluation of faculty teaching effectiveness-toward accountability in education. J Nurs Educ 30: 92–94.LT Gien1991Evaluation of faculty teaching effectiveness-toward accountability in education.J Nurs Educ309294
- 15. Veloski J, Boex JR, Grasberger MJ, Evans A, Wolfson DB (2006) Systematic review of the literature on assessment, feedback and physicians' clinical performance: BEME Guide No. 7. Med Teach 28: 117–128.J. VeloskiJR BoexMJ GrasbergerA. EvansDB Wolfson2006Systematic review of the literature on assessment, feedback and physicians' clinical performance: BEME Guide No. 7.Med Teach28117128
- 16. Baker K (2010) Clinical Teaching Improves with Resident Evaluation and Feedback. Anesthesiology 113: 693–703.K. Baker2010Clinical Teaching Improves with Resident Evaluation and Feedback.Anesthesiology113693703
- 17. Maker VK, Lewis MJ, Donnelly MB (2006) Ongoing Faculty Evaluations: Developmental Gain or Just More Pain? Current Surgery 63: 80–84.VK MakerMJ LewisMB Donnelly2006Ongoing Faculty Evaluations: Developmental Gain or Just More Pain?Current Surgery638084
- 18. Davis DA, Mazmanian PE, Fordis M, Van Harrison R, Thorpe KE, et al. (2006) Accuracy of physician self-assessment compared with observed measures of competence: a systematic review. JAMA 296: 1094–1102.DA DavisPE MazmanianM. FordisR. Van HarrisonKE Thorpe2006Accuracy of physician self-assessment compared with observed measures of competence: a systematic review.JAMA29610941102
- 19. Seifert CF, Yukl G, McDonald RA (2003) Effects of multisource feedback and a feedback facilitator on the influence behavior of managers toward subordinates. J Appl Psychol 88: 561–569.CF SeifertG. YuklRA McDonald2003Effects of multisource feedback and a feedback facilitator on the influence behavior of managers toward subordinates.J Appl Psychol88561569
- 20. Metheny WP, Espey EL, Bienstock J, Cox SM, Erickson SS, et al. (2005) To the point: medical education reviews evaluation in context: assessing learners, teachers, and training programs. Am J Obstet Gynecol 192: 34–37.WP MethenyEL EspeyJ. BienstockSM CoxSS Erickson2005To the point: medical education reviews evaluation in context: assessing learners, teachers, and training programs.Am J Obstet Gynecol1923437
- 21. Overeem K, Driessen EW, Arah OA, Lombarts KM, Wollersheim HC, et al. (2010) Peer mentoring in doctor performance assessment: strategies, obstacles and benefits. Med Educ 44: 140–147.K. OvereemEW DriessenOA ArahKM LombartsHC Wollersheim2010Peer mentoring in doctor performance assessment: strategies, obstacles and benefits.Med Educ44140147
- 22. Steinert Y, Mann K, Centeno A, Dolmans D, Spencer J, et al. (2006) A systematic review of faculty development initiatives designed to improve teaching effectiveness in medical education: BEME Guide No. 8. Med Teach 28: 497–526.Y. SteinertK. MannA. CentenoD. DolmansJ. Spencer2006A systematic review of faculty development initiatives designed to improve teaching effectiveness in medical education: BEME Guide No. 8.Med Teach28497526
- 23. de Oliveira Filho GR, Dal Mago AJ, Garcia JH, Goldschmidt R (2008) An instrument designed for faculty supervision evaluation by anesthesia residents and its psychometric properties. Anesth Analg 107: 1316–1322.GR de Oliveira FilhoAJ Dal MagoJH GarciaR. Goldschmidt2008An instrument designed for faculty supervision evaluation by anesthesia residents and its psychometric properties.Anesth Analg10713161322
- 24. Beckman TJ, Ghosh AK, Cook DA, Erwin PJ, Mandrekar JN (2004) How reliable are assessments of clinical teaching? A review of the published instruments. J Gen Intern Med 19: 971–977.TJ BeckmanAK GhoshDA CookPJ ErwinJN Mandrekar2004How reliable are assessments of clinical teaching? A review of the published instruments.J Gen Intern Med19971977
- 25. Beckman TJ, Cook DA, Mandrekar JN (2005) What is the validity evidence for assessments of clinical teaching? J Gen Intern Med 20: 1159–1164.TJ BeckmanDA CookJN Mandrekar2005What is the validity evidence for assessments of clinical teaching?J Gen Intern Med2011591164
- 26. Beckman TJ, Cook DA, Mandrekar JN (2006) Factor instability of clinical teaching assessment scores among general internists and cardiologists. Med Educ 40: 1209–1216.TJ BeckmanDA CookJN Mandrekar2006Factor instability of clinical teaching assessment scores among general internists and cardiologists.Med Educ4012091216
- 27. Streiner DL, Norman GR (2008) Health measurement scales: a practical guide to their development and use. Oxford: Oxford University Press. DL StreinerGR Norman2008Health measurement scales: a practical guide to their development and use.OxfordOxford University Press4th Edition. 4th Edition.
- 28. Lombarts MJ, Bucx MJ, Arah OA (2009) Development of a system for the evaluation of the teaching qualities of anesthesiology faculty. Anesthesiology 111: 706–719.MJ LombartsMJ BucxOA Arah2009Development of a system for the evaluation of the teaching qualities of anesthesiology faculty.Anesthesiology111706719
- 29. Lombarts MJ, Arah OA, Busch OR, Heineman MJ (2010) [Using the SETQ system to evaluate and improve teaching qualities of clinical teachers]. Ned Tijdschr Geneeskd 154: A1222.MJ LombartsOA ArahOR BuschMJ Heineman2010[Using the SETQ system to evaluate and improve teaching qualities of clinical teachers].Ned Tijdschr Geneeskd154A1222
- 30. Leeuw RM van der, Lombarts K, Heineman MJ, Arah O (2011) Systematic evaluation of the teaching qualities of obstetrics and gynecology faculty: reliability and validity of the SETQ tools. PLoS One 6: e19142.der Leeuw RM vanK. LombartsMJ HeinemanO. Arah2011Systematic evaluation of the teaching qualities of obstetrics and gynecology faculty: reliability and validity of the SETQ tools.PLoS One6e19142
- 31. Norcini J, Talati J (2009) Assessment, surgeon, and society. Int J Surg 7: 313–317.J. NorciniJ. Talati2009Assessment, surgeon, and society.Int J Surg7313317
- 32. Van der Vleuten CPM, Schuwirth LW (2005) Assessing professional competence: from methods to programmes. Med Educ 39: 309–317.CPM Van der VleutenLW Schuwirth2005Assessing professional competence: from methods to programmes.Med Educ39309317
- 33. Lombarts MJ, Bucx MJ, Rupp I, Keijzers PJ, Kokke SI, et al. (2007) [An instrument for the assessment of the training qualities of clinician-educators]. Ned Tijdschr Geneeskd 151: 2004–2008.MJ LombartsMJ BucxI. RuppPJ KeijzersSI Kokke2007[An instrument for the assessment of the training qualities of clinician-educators].Ned Tijdschr Geneeskd15120042008
- 34. Skeff KM, Stratos GA, Berman J, Bergen MR (1992) Improving clinical teaching: Evaluation of a national dissemination program. Arch Intern Med 152: 1156–1161.KM SkeffGA StratosJ. BermanMR Bergen1992Improving clinical teaching: Evaluation of a national dissemination program.Arch Intern Med15211561161
- 35. Litzelman DK, Stratos GA, Marriott DJ, Skeff KM (1998) Factorial validation of a widely disseminated educational framework for evaluating clinical teachers. Acad Med 73: 688–695.DK LitzelmanGA StratosDJ MarriottKM Skeff1998Factorial validation of a widely disseminated educational framework for evaluating clinical teachers.Acad Med73688695
- 36. Williams BC, Litzelman DK, Babbott SF, Lubitz RM, Hofer TP (2002) Validation of a global measure of faculty's clinical teaching performance. Acad Med 77: 177–180.BC WilliamsDK LitzelmanSF BabbottRM LubitzTP Hofer2002Validation of a global measure of faculty's clinical teaching performance.Acad Med77177180
- 37. Litzelman DK, Westmoreland GR, Skeff KM, Stratos GA (1999) Factorial validation of an educational framework using residents' evaluations of clinician-educators. Acad Med 74: 10 SupplS25–S27.DK LitzelmanGR WestmorelandKM SkeffGA Stratos1999Factorial validation of an educational framework using residents' evaluations of clinician-educators.Acad Med7410 SupplS25S27
- 38. SPSS (2008) SPSS Statistics 17.0 Command Syntax Reference. Chicago: SPSS Inc. SPSS2008SPSS Statistics 17.0 Command Syntax Reference.ChicagoSPSS Inc
- 39. Stevens JP (1992) Applied Multivariate Statistics for the Social Sciences. Erlbaum, , NJ: Hillsdale. JP Stevens1992Applied Multivariate Statistics for the Social Sciences.Erlbaum, , NJHillsdale2nd Edition. 2nd Edition.
- 40. Cronbach LJ (1951) Coefficient alpha and the internal structure of tests. Psychometrika 16: 297–334.LJ Cronbach1951Coefficient alpha and the internal structure of tests.Psychometrika16297334
- 41. Raykov T, Penev S (2009) Estimation of maximal reliability for multiple-component instruments in multilevel designs. Br J Math Stat Psychol 62(Pt 1): 129–142.T. RaykovS. Penev2009Estimation of maximal reliability for multiple-component instruments in multilevel designs.Br J Math Stat Psychol62Pt 1129142
- 42. Raykov T (2006) On multilevel model reliability estimation from the perspective of structural equation modeling. Structural Equation Modeling 13: 130–141.T. Raykov2006On multilevel model reliability estimation from the perspective of structural equation modeling.Structural Equation Modeling13130141
- 43. Arah OA, ten Asbroek AH, Delnoij DM de Koning JS, Stam P, et al. (2006) Psychometric properties of the Dutch version of the Hospital-level Consumer Assessment of Health Plans Survey instrument. Health Serv Res 41: 284–301.OA ArahAH ten AsbroekJS Delnoij DM de KoningP. Stam2006Psychometric properties of the Dutch version of the Hospital-level Consumer Assessment of Health Plans Survey instrument.Health Serv Res41284301
- 44. Dunlap HF (1931) An empirical determination of means, standard deviations and correlation coefficients drawn form rectangular distributions. Ann Math Stat 2: 66–81.HF Dunlap1931An empirical determination of means, standard deviations and correlation coefficients drawn form rectangular distributions.Ann Math Stat26681
- 45. Pearson ES (1931) The analysis of variance in the case of non-normal variation. Biometrika 23: 114–133.ES Pearson1931The analysis of variance in the case of non-normal variation.Biometrika23114133
- 46. Pearson ES (1932) The test of significance for the correlation coefficient. J Am Stat Assoc 27: 128–134.ES Pearson1932The test of significance for the correlation coefficient.J Am Stat Assoc27128134
- 47. Pearson ES (1932) The test of significance for the correlation coefficient: Some further results. J Am Stat Assoc 27: 424–426.ES Pearson1932The test of significance for the correlation coefficient: Some further results.J Am Stat Assoc27424426
- 48. Cronbach LJ (1957) The two disciplines of scientific psychology. Am Psychol 12: 671–684.LJ Cronbach1957The two disciplines of scientific psychology.Am Psychol12671684
- 49. Havlicek LL, Peterson NL (1976) Robustness of the Pearson correlation against violation of assumption. Percept Mot Skills 43: 1319–1334.LL HavlicekNL Peterson1976Robustness of the Pearson correlation against violation of assumption.Percept Mot Skills4313191334
- 50. Carifio L, Perla R (2008) Resolving the 50 year debate around using and misusing Likert scales. Med Educ 42: 1150–1152.L. CarifioR. Perla2008Resolving the 50 year debate around using and misusing Likert scales.Med Educ4211501152
- 51. Holgado–Tello FP, Chacón–Moscoso S, Barbero–García I, Vila–Abad E (2010) Polychoric versus Pearson correlations in exploratory and confirmatory factor analysis of ordinal variables. Qual Quant 44: 153–166.FP Holgado–TelloS. Chacón–MoscosoI. Barbero–GarcíaE. Vila–Abad2010Polychoric versus Pearson correlations in exploratory and confirmatory factor analysis of ordinal variables.Qual Quant44153166
- 52. Norman G (2010) Likert scales, levels of measurement and the “laws” of statistics. Adv Health Sci Educ 15: 625–632.G. Norman2010Likert scales, levels of measurement and the “laws” of statistics.Adv Health Sci Educ15625632
- 53. General Medical Council website. Postgraduate Medical Education and Training Board. Standards for curricula and assessment systems. General Medical Council website. Postgraduate Medical Education and Training Board. Standards for curricula and assessment systems.Available: http://www.gmc-uk.org. Accessed 2011; September 27. Available: http://www.gmc-uk.org. Accessed 2011; September 27.
- 54. Maker VK, Curtis KD, Donnelly MB (2004) Are you a surgical role model? Curr Surg 61: 111–115.VK MakerKD CurtisMB Donnelly2004Are you a surgical role model?Curr Surg61111115
- 55. Wright SM, Kern DE, Kolodner K, Howard DM, Brancati FL (1998) Attributes of excellent attending-physician role models. N Engl J Med 339: 1986–1993.SM WrightDE KernK. KolodnerDM HowardFL Brancati1998Attributes of excellent attending-physician role models.N Engl J Med33919861993
- 56. Lombarts MJMH, Heineman MJ, Arah OA (2010) Good Clinical Teachers Likely to be Specialist Role Models: Results from a Multicenter Cross-sectional Survey. PLoS ONE 5(12): e15202.MJMH LombartsMJ HeinemanOA Arah2010Good Clinical Teachers Likely to be Specialist Role Models: Results from a Multicenter Cross-sectional Survey.PLoS ONE512e15202
- 57. Medical Professionalism Project (2002) Medical professionalism in the new millennium: a physicians' charter. Lancet 359: 520–522.Medical Professionalism Project2002Medical professionalism in the new millennium: a physicians' charter.Lancet359520522
- 58. McLean M, Cilliers F, Van Wyk JM (2008) Faculty development: Yesterday, today and tomorrow. Med Teach 30: 555–584.M. McLeanF. CilliersJM Van Wyk2008Faculty development: Yesterday, today and tomorrow.Med Teach30555584
- 59. Wilkerson L, Irby DM (1998) Strategies for improving teaching practices: a comprehensive approach to faculty development. Acad Med 73: 387–96.L. WilkersonDM Irby1998Strategies for improving teaching practices: a comprehensive approach to faculty development.Acad Med7338796
- 60. Ramani S (2006) Twelve tips to promote excellence in medical teaching. Med Teach 28: 19–23.S. Ramani2006Twelve tips to promote excellence in medical teaching.Med Teach281923
- 61. McLeod PJ, Steinert Y (2010) The evolution of faculty development in Canada since the 1980s: Coming of age or time for a change? Med Teach 32: supplemente31–e35.PJ McLeodY. Steinert2010The evolution of faculty development in Canada since the 1980s: Coming of age or time for a change?Med Teach32supplemente31e35
- 62. Scheele F, Teunissen P, Van Luijk S, Heineman E, Fluit L, et al. (2008) Introducing competency-based postgraduate medical education in the Netherlands. Med Teach 30: 248–253.F. ScheeleP. TeunissenS. Van LuijkE. HeinemanL. Fluit2008Introducing competency-based postgraduate medical education in the Netherlands.Med Teach30248253
- 63. Atasoylu AA, Wright SM, Beasley BW, Cofrancesco J Jr, Macpherson DS, et al. (2003) Promotion criteria for clinician-educators. J Gen Intern Med 18: 711–716.AA AtasoyluSM WrightBW BeasleyJ. Cofrancesco JrDS Macpherson2003Promotion criteria for clinician-educators.J Gen Intern Med18711716