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Mentoring is in the ‘I’ of the beholder: supporting mentors in reflecting on their actual and preferred way of mentoring

BMC Medical Education volume 22, Article number: 638 (2022) Cite this article

Abstract

Background

An important strategy to support the professional development of mentors in health professions education is to encourage critical reflection on what they do, why they do it, and how they do it. Not only the ‘how’ of mentoring should be covered, but also the implicit knowledge and beliefs fundamental to the mentoring practice (a mentor’s personal interpretative framework). This study analyzed the extent to which mentors perceive a difference between how they actually mentor and how they prefer to mentor.

Methods

The MERIT (MEntor Reflection InstrumenT) survey (distributed in 2020, N = 228), was used to ask mentors about the how, what, and why of their mentoring in two response modes: (1) regarding their actual mentoring practice and (2) regarding their preferred mentoring practice. With an analysis of covariance, it was explored whether potential discrepancies between these responses were influenced by experience, profession of the mentor, and curriculum-bound assessment requirements.

Results

The averaged total MERIT score and averaged scores for the subscales ‘Supporting Personal Development’ and ‘Monitoring Performance’ were significantly higher for preferred than for actual mentoring. In addition, mentors’ experience interacted significantly with these scores, such that the difference between actual and preferred scores became smaller with more years of experience.

Conclusions

Mentors can reflect on their actual and preferred approach to mentoring. This analysis and the potential discrepancy between actual and preferred mentoring can serve as input for individual professional development trajectories.

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Introduction

Mentors in health professions education are faculty who support their mentees’ personal and professional development [1,2,3,4,5,6]. They can influence the career of the next generation of healthcare providers, making the professional development of mentors a key priority for health professions programs. An important strategy to support mentors’ professional development is encouraging critical reflection on what they do, why they do it, and how they do it [7,8,9,10,11,12,13,14]. Research on reflection in and beyond health professions has convincingly shown that the connection between mentors’ representations of their mentoring practice and their actual enactment of practice is rather loose [13, 14]. There often is a gap between what practitioners want or intend to do in practice and what they actually do [15]. Research suggests a myriad of explanations for these gaps, including institutional, curricular or collegial role expectations that conflict with mentors’ personal understandings of good mentoring [16, 17], but also routinized individual and group behaviors and a lack of understanding of the beliefs that tacitly underpin practice [18, 19]. Critical reflection is crucial for mentors to identify the beliefs governing their actions, critically examine them, and explore alternatives for practice. It might help mentors to map and better understand the gap between the expressed and the realized, and if desirable, also close this gap [20, 21]. It is, however, not self-evident that mentors, often supporting their mentees to become reflective practitioners, are proficient themselves at reflecting on their experiences [1, 7]. Both the readiness and the ability to critically reflect on one’s own mentoring practice and the beliefs and knowledge underpinning this practice differ between mentors [7, 10], indicating a need for supporting mentors in this reflection process as part of their professional development.

To help mentors make the “what, why, and how” of their actual practice explicit, and explore the implicit system of knowledge and beliefs underpinning practice, we developed a survey called MERIT: MEntor Reflection InstrumenT [4]. The intent of the MERIT is not to measure underlying psychological constructs, but rather to promote mentors’ reflection on their role. Its development resulted in the identification of four ‘focus points’ in mentors’ reflection on their mentoring practice: (1) supporting personal development, (2) modelling professional development, (3) fostering autonomy, and (4) monitoring performance [4].

The MERIT draws on research in the field of mentoring as well as our own empirical work on mentors’ personal interpretative framework. Kelchtermans [22] describes this framework as a lens that teachers use to interpret and interact with their professional context. At the same time, the lens is influenced by that professional context too. It includes two dimensions with multiple underlying components, allowing for a more dynamic understanding of mentors’ sense of self than the related notion of teacher identity. The first dimension of the personal interpretative framework is professional self-understanding. This is the understanding mentors have of themselves as mentors at a certain point in time (the ‘what’ and ‘why’ of their mentoring). The second dimension, subjective educational theory, encompasses a mentor’s personal system of knowledge and beliefs about the way they mentor (the ‘how’) [22]. This multidimensional, dynamic view closely aligns with how van Lankveld, Thampy, Cantillon, Horsburgh and Kluijtmans [23] conceptualize teacher identity: as “both an understanding and as a presentation of oneself, shaped and reshaped in constant dialogue between a person and their social environment” (p. 2). Along similar lines, the personal interpretative framework is dynamic, rather than static, as it results from the meaningful interactions between mentors and their professional working context.

In the current article, we report on additional data about ‘preferred mentoring’ gathered during the MERIT development study [4]. With this additional data from this same sample of mentors we investigated the extent to which they experienced a gap between their actual and preferred mentoring. We base our analysis on the following two research goals: First, we evaluated whether mentors experience a discrepancy between their actual and preferred approach to mentoring. Second, we explored whether any discrepancy between actual and preferred mentoring is associated with mentors’ experience measured in years, their profession (e.g., educationalist, researcher, or physician), or the requirement to assess the performance of their mentees (e.g., a mentee’s portfolio in a programmatic assessment setting) [3, 24,25,26,27,28].

Materials and methods

Respondents

We invited mentors in health professions education to participate. In this article, our target population of mentors in health professions education is defined as faculty members who have a formal mentoring relationship with one or multiple (under)graduate students. The focus of this relationship is on supporting competence development and stimulating reflection (after Nicholls [2]). Respondents mentoring postgraduate students or mentoring outside the domain of health professions education were excluded from the sample, but no further exclusion criteria applied. Respondents were provided with a participant information letter, and a signed online informed consent was obtained from all respondents. All mentors who indicated that they were interested in receiving their survey results were sent an e-mail with an explanation and a radar chart (Fig. 1), summarizing their individual results. The chart presented the difference between their actual and their preferred mentoring through colored lines.

Fig. 1
figure 1

A simulated radar chart of the MERIT data. The depicted data do not belong to any of the respondents in this study and were generated for illustrative purposes only

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Survey information

An extensive description of the design, distribution, and analysis of the psychometric properties of the survey can be found in Loosveld, Van Gerven, Driessen, Vanassche, Artino [4]. The survey was designed based on previous qualitative work with mentors in health professions education [28] and an extensive review of the literature on mentoring. It has been pre-tested and piloted, and the internal structure and reliability of the final survey have been assessed based on responses from an international sample of mentors [4]. The MERIT is composed of 20 items that use a five-point, Likert-type response scale: ‘this item is’ (1) not at all true of me – (2) slightly true of me – (3) somewhat true of me – (4) mostly true of me – (5) completely true of me [29]. A higher score thus indicates that mentors identify more with that particular item.

Sampling and survey distribution

A link to the online MERIT survey, which was hosted on Qualtrics (Provo, Utah), was distributed via Twitter accounts of the researchers (around 4000 cumulative followers), LinkedIn (around 800 connections), and via 128 e-mails to contact persons between November 2019 and March 2020. Because of this distribution via contact persons and social media, the exact overall denominator was unknown, as a result of which it was impossible to calculate the overall response rate. As this study did not intend to characterize a population, the lack of response rate was considered less problematic [30].

Procedure

Upon signing informed consent, mentors entered an online survey environment where they were presented with each MERIT item twice. In each of those two instances, the question had to be answered in a specific response mode: the first time the respondents reported about their own actual mentoring practice and the second time, immediately after the first time, respondents were asked to envision their preferred mentoring. We included the following instruction to explain the two response modes (Table 1):

Table 1 Written instruction explaining actual and preferred response mode
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Eight demographic questions and two open-ended questions about the content and design of the survey concluded the survey. The factor structure within the set of survey items was previously determined via Principal Access Factoring and the internal consistency reliability of the subscale scores evaluated using Cronbach’s alpha [4]. Based on the Principal Access Factoring, the four subscales of the MERIT were determined to be: (1) supporting personal development, with survey items on the personal development of mentees, (2) modelling professional development, with items about providing insight on how academia works (3) fostering autonomy about advice-seeking and problem-solving, and (4) monitoring performance, about accessing and understanding performance data. An extensive description of the design, distribution, and analysis of the psychometric properties of the survey can be found in Loosveld, Van Gerven, Driessen, Vanassche, Artino [4] .

Analysis

To reach our current research objectives, we ran one-way analyses of covariance (ANCOVA) with Response Mode (levels: Actual, Preferred) as the within-groups independent variable. The dependent variables were the average score on the entire MERIT survey, as well as average scores for the four subscales, based on MERIT factors. We included three covariates in our model: (1) Experience, (2) Main Profession, and (3) Assessment. Experience was the amount of mentoring experience in years. Main Profession was defined as the profession that mentors primarily identified with (Basic scientist, Researcher, Physician, Teacher/Educator, Educationalist, Sociologist, Psychologist, PhD-candidate, Other). Assessment, finally, indicated whether mentors were required to assess their mentee or not (Yes, No, Do not know). SPSS statistical software, version 25 (IBM Corporation, New York) and Microsoft Excel 2016 (Microsoft Corporation, Redmond, Washington) were used for data analysis and data management.

Ethical approval

This research was approved by the Maastricht University Ethics Review Committee (UM-REC), file number: FHML-REC/2019/033, October 1, 2019.

Results

After removing the data of four respondents mentoring outside the field of health professions education, 228 fully completed surveys remained for analysis.

Demographics

Our sample consisted of 77 (34%) mentors who identified as men and 148 (65%) who identified as women. One mentor indicated ‘other’ as their gender and two other mentors did not identify their gender (1%). The mean age of the respondents was 46.4 years (range = 26–72 years; three mentors did not reveal their age). As can be seen from Table 2, some mentors in our sample indicated being quite experienced, but given that it is not uncommon for health professionals to continue mentoring well after their retirement [31, 32], we did not consider their responses as inaccurate or erroneous. Since we did not require a specific minimum or maximum number of years of mentoring experience in order to participate in our study, we had no way to control how many junior or senior mentors participated in our study. Given that we invited mentors from the health professions education domain, it is not surprising that there is a relatively large proportion of mentors (35.5%) who identified ‘physician’ as their main profession. Additional information on mentors’ professional working context and personal demographics can be found in Table 2.

Table 2 Features of professional working context and personal demographics of the 228 MERIT survey respondents
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Total MERIT score

The results of the ANCOVA yielded a significant main effect of Response Mode, F(1, 224) = 15.20, p < .001, ηp2 = .064, indicating that the average total MERIT score was higher in the Preferred (M = 4.12, SD = .34) than in the Actual (M = 3.96, SD = .36) response mode (see Tables 3 and 4). The covariate Experience did not have a significant main effect on the total MERIT score, F(1, 224) = 1.38, p = .241, ηp2 = .006, and neither did the other two covariates, Main Profession and Assessment (Fs < 1).

Table 3 Mean MERIT scores on total and subscale level
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Table 4 Main effects of response mode and covariates on total MERIT score
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There was however, a significant Response Mode × Experience interaction, F(1, 224) = 4.76, p = .030, ηp2 = .021, suggesting that the effect of Response Mode – that is, the discrepancy between Actual and Preferred MERIT scores – became smaller with more years of experience (see Fig. 2 for a representation of the interaction pattern). The other three covariates did not show significant results (see Table 5).

Fig. 2
figure 2

Difference in the overall mean score on the MERIT between the Actual and Preferred Response Mode (i.e., Preferred – Actual) as a function of Experience in years

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Table 5 Interactions between Response Mode and the three covariates for total MERIT scores
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MERIT subscale scores

The ANCOVAs of two of the four factors, Supporting Personal Development and Monitoring Performance, yielded significant main effects of Response Mode. Results for Supporting Personal Development were F(1, 224) = 13.75, p < .001, ηp2 = .058, indicating that mentors’ score on this factor was higher for Preferred than for Actual mentoring. For Monitoring Performance, mentors’ Preferred scores were again higher than Actual scores, F(1, 224) = 13.01, p < .001, ηp2 = .055 (see Table 6). The covariate Main Profession was found to have a significant main effect on Fostering Autonomy, F(1, 224) = 12.99, p < .001, ηp2 = .055. The other covariates did not show main effects on any of the four factors (Fs < 1) (see Table 6 for a complete overview of main effects of the covariates).

Table 6 Main effect of Response Mode and covariates on MERIT subscale scores
Full size table

Response Mode did not interact with Main Profession or Assessment (Fs < 1), suggesting that these covariates did not affect the discrepancy between Actual and Preferred MERIT scores (see Table 7). For Supporting Personal Development there was a significant Response mode × Experience interaction, F(1, 224) = 10.55, p = .001, ηp2 = .045, again suggesting that the effect of Response Mode, on the level of Supporting Personal Development, became smaller with more years of Experience (see Fig. 3 for a representation of the interaction pattern).

Table 7 Interactions between Response Mode and the three covariates on MERIT subscale level
Full size table
Fig. 3
figure 3

Difference in the mean score on the MERIT between the Actual and Preferred Response Mode (i.e., Preferred – Actual) on the subscale Supporting Personal Development as a function of Experience in years

Full size image

A significant Response mode × Experience interaction in that same direction was found for the subscale Monitoring Performance, F(1, 224) = 4.33 p = .039, ηp2 = .019, although this interaction did not survive Bonferroni correction. No further interactions between response mode and covariates were found. Table 7 includes the full overview of interactions.

Discussion

Findings from this study suggest that the mentors in our sample perceive a discrepancy between their actual and preferred mentoring. Moreover, mentoring experience significantly moderated this discrepancy: The more years of experience as a mentor, the smaller the discrepancy became. This interaction effect appeared to be driven by responses on the subscale Supporting Personal Development.

It is important to note that we did neither intend to make evaluative statements about mentoring capabilities, nor did we try to uncover the reason behind discrepancies between one’s actual and preferred mentoring. Moreover, identified discrepancies between actual and preferred mentoring do not imply that someone is not a good mentor. Rather these discrepancies may indicate conflicting narratives – for example, between professional self-understanding and curriculum requirements –, which could hamper mentors to put their personal knowledge and beliefs into practice [33,34,35]. Prior research has shown the potentially detrimental effects of not being able to act according to one’s personal beliefs for mentors’ job motivation and collegial position [13, 16, 36].

Based on these findings, we believe that the merit of the MERIT survey for mentors lies in offering support during their professional development. Critical reflections on experiences from their daily practice can help mentors to identify and prioritize learning needs [15, 37, 38], thereby serving as an entry point for their professional development [12]. This enables mentors to acquire, refine, or broaden their mentor-specific knowledge and skills [28, 39,40,41,42,43]. We therefore argue that not only students [44], but also faculty in medical education should be supported in the reflective process that is foundational to their professional development. Without critical reflection on the how, what, and why of mentoring, faculty development may be nothing more than transferring custom practices and tricks of the trade, without thinking through why, for whom, and under what conditions these approaches (do not) work [2, 45].

A limitation to this study is that we had little means to control who filled out the survey. Even though we asked mentors to respond only when they met our inclusion criteria and we examined the responses for mentors who did not meet the inclusion criteria, we cannot be sure that all respondents indeed fit our description of mentors in health professions education. In addition, despite our efforts to distribute the survey globally, the majority of our respondents fulfilled their mentoring role in Europe (73.3%) or North America (18.9%). Therefore, our sample may not reflect a worldwide representation of mentors in health professions education and we cannot rule out the influence of, for example, local administrative rules and regulations. However, given the context specificity of the personal interpretative framework, we argue that an accurate representation of how individual mentors perceive their mentoring only exists within the specific professional working context of that mentor.

Another limitation of this study is that we were not able to analyze how mentors interpreted or explained their reflections. Follow-up research could therefore take a more explanatory approach, where mentors are asked to reflect on their mentoring practice and then, together with an interviewer, explore their answers and discuss how those answers shape their personal interpretative framework. Because of our quantitative approach, we also do not know whether there are other factors that might influence mentors’ actual and preferred mentoring. Given the personalized and contextualized nature of mentoring, this is an avenue that warrants further exploration.

Conclusion

The perceived discrepancy between actual and preferred mentoring of the mentors in our sample is influenced by their years of experience: More experienced mentors perceive a smaller discrepancy between their actual and preferred mentoring. This discrepancy could guide faculty development initiatives that involve active and collaborative formats to help mentors discuss, reinforce, and challenge their personal interpretative framework.

Availability of data and materials

The survey used for this study is available as Supplemental Online Material (File 1). The dataset generated and analyzed in the current article is not publicly available to guard anonymity of the respondents, but it is available from the corresponding author on reasonable request.

References

  1. Šaric M, Šteh B. Critical reflection in the professional development of teachers: challenges and possibilities. Center Educ Policy Stud J. 2017;7(3):67–85.

    Article  Google Scholar 

  2. Nicholls G. Mentoring: the art of teaching and learning. In: Jarvis P, editor. The Theory & Practice of teaching. Abingdon: Routledge; 2006. p. 157–68.

    Google Scholar 

  3. Balmer DF, Darden A, Chandran L, D'Alessandro D, Gusic ME. How Mentor identity evolves: findings from a 10-year follow-up study of a National Professional Development Program. Acad Med. 2018;93(7):1085–90.

    Article  Google Scholar 

  4. Loosveld LM, Van Gerven PWM, Driessen EW, Vanassche E, Artino AR. MERIT: a mentor reflection instrument for identifying the personal interpretative framework. BMC Med Educ. 2021;21(1):144.

    Article  Google Scholar 

  5. Dimitriadis K, von der Borch P, Störmann S, Meinel FG, Moder S, Reincke M, et al. Characteristics of mentoring relationships formed by medical students and faculty. Med Educ Online. 2012;17(1):17242.

    Article  Google Scholar 

  6. National Academies of Sciences E, Medicine. In: Byars-Winston A, Dahlberg ML, editors. The science of effective mentorship in STEMM. Washington, DC: The National Academies Press; 2019. p. 306.

    Google Scholar 

  7. Van Eekelen IM, Vermunt JD, Boshuizen HPA. Exploring teachers’ will to learn. Teach Teach Educ. 2006;22(4):408–23.

    Article  Google Scholar 

  8. Dugdill L, Coffey M, Coufopoulos A, Byrne K, Porcellato L. Developing new community health roles: can reflective learning drive professional practice? Reflective Pract. 2009;10(1):121–30.

    Article  Google Scholar 

  9. Clayton P, Ash S. Reflection as a key component in faculty development. Horizon - Strat Plann Resourc Educ Prof. 2005;13(3):161–9.

    Google Scholar 

  10. Rogers RR. Reflection in higher education: a concept analysis. Innov High Educ. 2001;26(1):37–57.

    Article  Google Scholar 

  11. Kelchtermans G. Getting the story, understanding the lives: from career stories to teachers’ professional development. Teach Teach Educ. 1993;9(5–6):443–56.

    Article  Google Scholar 

  12. Fornari A, Murray TS, Menzin AW, Woo VA, Clifton M, Lombardi M, et al. Mentoring program design and implementation in new medical schools. Med Educ Online. 2014;19(1):24570.

    Article  Google Scholar 

  13. Orland-Barak L, Klein S. The expressed and the realized: mentors’ representations of a mentoring conversation and its realization in practice. Teach Teach Educ. 2005;21(4):379–402.

    Article  Google Scholar 

  14. Aspfors J, Fransson G. Research on mentor education for mentors of newly qualified teachers: a qualitative meta-synthesis. Teach Teach Educ. 2015;48:75–86.

    Article  Google Scholar 

  15. Schon DA, DeSanctis V. The reflective practitioner: how professionals think in action. J Contin High Educ. 1986;34(3):29–30.

    Article  Google Scholar 

  16. Vanassche E, Kelchtermans G. A narrative analysis of a teacher educator’s professional learning journey. Eur J Teach Educ. 2016;39(3):355–67.

    Article  Google Scholar 

  17. Steinert Y, Mann K, Anderson B, Barnett BM, Centeno A, Naismith L, et al. A systematic review of faculty development initiatives designed to enhance teaching effectiveness: a 10-year update: BEME guide no. 40. Med Teach. 2016;38(8):769–86.

    Article  Google Scholar 

  18. Hafler JP, Ownby AR, Thompson BM, Fasser CE, Grigsby K, Haidet P, et al. Decoding the learning environment of medical education: a hidden curriculum perspective for faculty development. Acad Med. 2011;86(4):440–4.

    Article  Google Scholar 

  19. McLeod PJ, Meagher T, Steinert Y, Schuwirth L, McLeod AH. The clinical TeacherClinical teachers’ tacit knowledge of basic pedagogic principles. Med Teach. 2004;26(1):23–7.

    Article  Google Scholar 

  20. Bradbury LU. Educative mentoring: promoting reform-based science teaching through mentoring relationships. Sci Educ. 2010;94(6):1049–71.

    Article  Google Scholar 

  21. Wang J, Odell SJ. Learning to teach toward standards-based writing instruction: experiences of two preservice teachers and two mentors in an urban. Multicult Classroom Elem Sch J. 2003;104(2):147–74.

    Article  Google Scholar 

  22. Kelchtermans G. Who I am in how I teach is the message: self-understanding, vulnerability and reflection. Teach Teach. 2009;15(2):257–72.

    Article  Google Scholar 

  23. van Lankveld T, Thampy H, Cantillon P, Horsburgh J, Kluijtmans M. Supporting a teacher identity in health professions education: AMEE guide no. 132. Med Teach. 2021;43(2):124–36.

    Article  Google Scholar 

  24. Jacobs JCG, van Luijk SJ, van der Vleuten CPM, Kusurkar RA, Croiset G, Scheele F. Teachers’ conceptions of learning and teaching in student-centred medical curricula: the impact of context and personal characteristics. BMC Med Educ. 2016;16(1):244.

    Article  Google Scholar 

  25. Jacobs JCG, Wilschut J, van der Vleuten C, Scheele F, Croiset G, Kusurkar RA. An international study on teachers’ conceptions of learning and teaching and corresponding teacher profiles. Med Teach. 2020;42(9):1000–4.

    Article  Google Scholar 

  26. Jacobs JCG, van Luijk SJ, Galindo-Garre F, Muijtjens AMM, van der Vleuten CPM, Croiset G, et al. Five teacher profiles in student-centred curricula based on their conceptions of learning and teaching. BMC Med Educ. 2014;14(1):220.

    Article  Google Scholar 

  27. Meeuwissen SNE, Stalmeijer RE, Govaerts M. Multiple-role mentoring: mentors’ conceptualisations, enactments and role conflicts. Med Educ. 2019;53(6):605–15.

  28. Loosveld LM, Van Gerven PWM, Vanassche E, Driessen EW. Mentors’ beliefs about their roles in health care education: a qualitative study of mentors’ personal interpretative framework. Acad Med. 2020;95(10):1600–6.

    Article  Google Scholar 

  29. Artino AR Jr, La Rochelle JS, Dezee KJ, Gehlbach H. Developing questionnaires for educational research: AMEE guide no. 87. Med Teach. 2014;36(6):463–74.

    Article  Google Scholar 

  30. Baker R, Brick JM, Bates NA, Battaglia M, Couper MP, Dever JA, et al. Summary report of the AAPOR task force on non-probability sampling. J Survey Stat Methodol. 2013;1(2):90–143.

    Article  Google Scholar 

  31. Bank I, de Leeuw JP, Lijfering WM, de Bois MHW, van Woerkom TCAM, Wijnen-Meijer M. Are retired physicians suitable for the coaching of clerks? Int J Med Educ. 2017;8:343–50.

    Article  Google Scholar 

  32. Stearns J, Everard KM, Gjerde CL, Stearns M, Shore W. Understanding the needs and concerns of senior faculty in academic medicine: building strategies to maintain this critical resource. Acad Med. 2013;88(12):1927–33.

    Article  Google Scholar 

  33. Sambunjak D, Straus SE, Marusic A. A systematic review of qualitative research on the meaning and characteristics of mentoring in academic medicine. J Gen Intern Med. 2010;25(1):72–8.

    Article  Google Scholar 

  34. Vleuten CPM. When I say … context specificity. Med Educ. 2014;48(3):234–5.

    Article  Google Scholar 

  35. Mishler EG. Meaning in context: is there any other kind? Harv Educ Rev. 1979;49(1):1–19.

    Article  Google Scholar 

  36. Vanassche E, Kelchtermans G. Facilitating self-study of teacher education practices: toward a pedagogy of teacher educator professional development. Prof Dev Educ. 2015;42(1):100–22.

    Google Scholar 

  37. Fleming P. Reflection a neglected art in health promotion. Health Educ Res. 2007;22(5):658–64.

    Article  Google Scholar 

  38. Schaepkens SPC, Veen M, de la Croix A. Is reflection like soap? A critical narrative umbrella review of approaches to reflection in medical education research. Adv Health Sci Educ. 2022;27(2):537–51.

  39. Ramani S, Gruppen L, Kachur EK. Twelve tips for developing effective mentors. Med Teach. 2006;28(5):404–8.

    Article  Google Scholar 

  40. Heeneman S, de Grave W. Development and initial validation of a dual-purpose questionnaire capturing mentors’ and mentees’ perceptions and expectations of the mentoring process. BMC Med Educ. 2019;19(1):133.

    Article  Google Scholar 

  41. Skjevik EP, Boudreau JD, Ringberg U, Schei E, Stenfors T, Kvernenes M, et al. Group mentorship for undergraduate medical students—a systematic review. Perspect Med Educ. 2020;9(5):272–80.

    Article  Google Scholar 

  42. Driessen EW, Overeem K, van der Vleuten CPM. Get yourself a mentor. Med Educ. 2011;45(5):438–9.

    Article  Google Scholar 

  43. Pfund C, Maidl Pribbenow C, Branchaw J, Miller Lauffer S, Handelsman J. Professional skills. The merits of training mentors. Science (New York, NY). 2006;311(5760):473–4.

    Article  Google Scholar 

  44. Brydges R, Butler D. A reflective analysis of medical education research on self-regulation in learning and practice. Med Educ. 2012;46(1):71–9.

    Article  Google Scholar 

  45. Sheri K, Too JYJ, Chuah SEL, Toh YP, Mason S, Radha Krishna LK. A scoping review of mentor training programs in medicine between 1990 and 2017. Med Educ Online. 2019;24(1):1555435.

    Article  Google Scholar 

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Acknowledgements

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Authors and Affiliations

  1. School of Health Professions Education, Department of Educational Development & Research, Faculty of Health, Medicine and Life Sciences, Maastricht University, Universiteitssingel 60, 6229 ER, Maastricht, The Netherlands

    Lianne M. Loosveld, Erik W. Driessen & Pascal W. M. Van Gerven

  2. Faculty of Psychology and Educational Sciences, University of Leuven, Campus Kulak, Etienne Sabbelaan 51, P.O. Box 7654, 8500, Kortrijk, Belgium

    Eline Vanassche

  3. Department of Health, Human Function, and Rehabilitation Sciences, School of Medicine and Health Sciences, The George Washington University, 2600 Virginia Avenue NW, Suite 104, Washington, DC, USA

    Anthony R. Artino Jr

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  1. Lianne M. Loosveld
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  2. Erik W. Driessen
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  3. Eline Vanassche
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  4. Anthony R. Artino Jr
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  5. Pascal W. M. Van Gerven
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Contributions

All authors (LML, EWD, EV, ARA, PWMVG) contributed to the distribution of the survey. LML, PWMVG and ARA analyzed the raw data, consecutively all authors contributed in interpreting the data and drawing conclusions. LML wrote a first version of the manuscript and all authors provided feedback on and contributed to subsequent modified versions. The final version of the manuscript was read and approved by all authors.

Corresponding author

Correspondence to Lianne M. Loosveld.

Ethics declarations

Ethics approval and consent to participate

This research was approved by the Maastricht University Ethics Review Committee (UM-REC), file number: FHML-REC/2019/033, October 1, 2019. Al respondents received a digital participant information letter and signed a written online informed consent form to give consent to participate in the study and subsequent storage of their data. The study adhered to the guidelines and regulations relevant for this study.

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The authors report no conflicts of interest.

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Loosveld, L.M., Driessen, E.W., Vanassche, E. et al. Mentoring is in the ‘I’ of the beholder: supporting mentors in reflecting on their actual and preferred way of mentoring. BMC Med Educ 22, 638 (2022). https://doi.org/10.1186/s12909-022-03690-3

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  • DOI: https://doi.org/10.1186/s12909-022-03690-3

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BMC Medical Education

ISSN: 1472-6920

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