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PLOS ONE logoLink to PLOS ONE
. 2021 May 21;16(5):e0249092. doi: 10.1371/journal.pone.0249092

Career orientations of medical students: A Q-methodology study

Lokke Gennissen 1,*, Karen Stegers-Jager 1, Job van Exel 2,3, Lia Fluit 4, Jacqueline de Graaf 4,5, Matthijs de Hoog 1,6
Editor: Sina Safayi7
PMCID: PMC8139450  PMID: 34019546

Abstract

Introduction

In pursuing optimal health care, an adequate medical workforce is crucial. However, many countries are struggling with a misalignment of students’ specialty preferences and societal needs regarding the future medical workforce. In order to bridge this gap, it is relevant to gain a better understanding of the medical career choice processes. We explored career orientations among medical students in the Netherlands and their implications for future career choices.

Methods

We used Q-methodology, a hybrid qualitative–quantitative method, to explore career orientations of medical students. Medical students from two universities in the Netherlands, varying in year of progression of medical school, ranked 62 statements with regard to importance for their future career choice. Participants explained their ranking in an interview and completed a questionnaire regarding demographics. Using by-person factor analysis we identified groups of individuals with similar orientations.

Results

Twenty-four students participated in this study, resulting in three distinct orientations towards future careers: a first career orientation that highly values lifelong self-development; a second that values work-life balance, and a third that was more concerned with achievement and recognition of their work.

Conclusion

Medical students’ career orientations differed in the importance of challenge, work-life balance, and need for recognition. This knowledge can help to design interventions to shift career choices of medical students closer towards future needs in society. Offering career coaching to students that challenges them to explore and prioritise their values, needs and motivations, for example using the materials form this study as a tool, and stimulates them to consider specialties accordingly, could be a promising strategy for guiding students to more long-term satisfying careers.

Introduction

Mismatch

As society is rapidly changing, health care demands are changing as well. Matching the supply of health professionals to societal demands is essential in aspiring to maintain an affordable healthcare system, which is sustainable and fit for purpose [1]. However, in many Western societies there is a continuing imbalance between the career aspirations and paths of medical doctors and societal needs with regard to the professionals required for optimal care delivery [1, 2]. Although there is no shortage of medical students, the distribution of medical graduates over specialties is problematic. Whereas society needs for instance more public health and elderly care doctors, medical graduates rather pursue careers in pediatrics or internal medicine [1, 3]. This mismatch has led to both shortages and unemployment of medical professionals. Solving this mismatch is of urgent interest for the medical workforce as well as society. For that purpose, a better understanding of the career aspiration of medical students is essential.

Career aspirations

The maldistribution of students in terms of specialties has been increasingly addressed by researchers [1, 4, 5]. Career aspirations of medical students appear to lie at the heart of the problem, as they play an important role in career decisions such as medical specialty choice. Students often already enter medical school with certain ambitions, concerns, and hopes about the medical field. Ideally, through experiences in the field during medical school, students gradually learn to realise what they need and like, what they more deeply believe or value about work and life, what they are good at, and what skills and abilities are critical. These motives, values and talents gradually come together in a comprehensive pattern of job-related preferences that will drive their aspirations, which is also referred to as their career orientation. Insight in the career orientations of medical students will likely help us to better understand the drives in their medical specialty choice process. This knowledge is essential when striving to address issues and propose solutions for the problematic distribution of medical graduates over specialties.

The process of how medical students develop their career orientation and how they come to their medical specialty preferences is complex and has been researched for many years [68]. In general, scholars have tried to identify aspects of importance for medical specialty choice in students’ characteristics (such as gender and personality) [9], values (e.g. personal preference) [10], career needs or preferences (e.g. expected income or working hours) [11], perceptions of medical specialty characteristics (e.g. personal experience) [12], and medical curricula characteristics (e.g. curriculum design) [13]. Although this has resulted in increased knowledge on a broad variety of aspects which play a role in the medical specialty choice process, a clear understanding of the process is still lacking [8].

The present study sought to contribute to the understanding of this medical specialty choice by approaching it as a decision-making process in which all relevant aspects of the choice are interrelated. Cleland and colleagues have preceded us in taking this perspective and argued that instead of looking at individual aspects one could also focus on push and pull factors [14, 15], the principal aspects that either drive people away from a certain alternative or draw people towards it. Their studies, in which they used discrete choice experiments, probably come closest to investigating how medical graduates in the UK value and trade-off different aspects in their career decision-making. This led to insights regarding the importance of these aspects relative to financial gains.

Such choice experiments, by design, are suitable for investigating the relative importance of a limited number of aspects. However, a large and varied set of values, needs and motives may play a role in specialty choices of medical students. Therefore, a broader understanding of how all these different aspects are prioritised by medical students in their speciality choices is essential for designing interventions that could help solve the maldistribution of the medical workforce. In addition, one may expect considerable heterogeneity between students in what they consider important for their future careers. Thus, in our study we investigated how students trade-off all the relevant aspects with regard to medical specialty choice using Q-methodology. This approach makes it possible to ask participants to rank an extensive set of items, and to identify similarities as well as differences between distinct career orientations of medical students. In addition, by collecting both quantitative and qualitative data, rich interpretations of different career orientations can be generated.

Although Q-methodology has previously been used in career research [1618], this study is the first to apply this approach to medical career research.

In most career choice theories, the career choice process is approached mainly as a matching process. This means that it is assumed that a person -consciously or unconsciously- prefers a specialty that matches their individual needs, values, motives and talents [19]. Consequently, self-knowledge about what you want and what your qualities and values are, is essential for making appropriate career choices. Many of these theories thus suggest that starting with a thorough self-exploration is necessary for medical students to develop a career orientation and for effective career decision-making. The latter is all the more relevant because choosing the proper medical specialty will benefit job satisfaction, and thereby the quality of care delivered [1922]. But even more important in the context of the current study, more insight into the career orientations of medical students could improve our understanding of their medical specialty choices [19].

Research aim

This study aims to contribute to the understanding of the process of medical specialty preference formation, by focusing on student career orientations. Using Q-methodology [23], this study explores patterns in the importance medical students attach to a broad set of values, needs, and motives for specialty choice, and uses quantitative and qualitative data to describe these patterns as distinct career orientations. Finally, the study elaborates on their implications for medical specialty choices and potential solutions for the mismatch between the aspirations of medical students and societal needs for medical professionals.

Methods

Study design

The mixed method characteristic of Q-methodology is particularly suited to systematically explore and explain patterns and diversity in a subjective phenomenon [23]. Data are gathered by asking the participants to rank a set of statements that represent the broad set of issues that are relevant to the topic of study. The assumption is that participants reveal their viewpoint through ordering the full statements set, and that if different participants rank the statements in a similar way, they hold a similar view on the topic. To identify similarities and differences between participants, the ranking data is subjected to by-person factor analysis, thus correlating the persons instead of the statements [23].

Context

This study took place in medical schools at two universities in the Netherlands. Demographic characteristics of their students and their curricula are quite similar [24]. Both universities are metropolitan universities, with similar distribution of background characteristics of the students. Both universities have a 6-year undergraduate medical curriculum of which the 3-year Bachelor is mainly theoretical, and the 3-year Master is mainly clinical. In the Netherlands, medical school graduates that aim to become a medical specialist have two options: one can apply for a medical residency selection procedure directly after medical school or one can start working in a specialty as a resident-not-in-training. The latter option is frequently used to get a better sense of whether a specialty fits, or to gain work experience to build a better resume before applying for the specialty of choice. As a consequence, the moment of the actual medical specialty decision making can differ between individual students.

Participants

Participants in this study were students from all six years of the undergraduate curriculum of the two medical schools. As we had no prior information about which career orientations exist among students and which students have these different orientations, a combination of convenience sampling and snowballing was used. As a starting point of the data collection we approached a convenience sample of medical students, i.e. an easy-to-reach group consisting of participants varying in year of medical school and background characteristics that we anticipated to be relevant for capturing the diversity of viewpoints among medical students, as is common in Q-methodology [23]. In order to reach a more diverse group, snowballing was used. This means we asked participants from the convenience sample to suggest consecutive participants, based on their expectations that these other students would have similar or dissimilar career aspirations. The main purpose of our sampling strategy was including a diverse group of medical students that would help us to identify the variety in career orientations. Since participants in a Q-methodology study evaluate and rank a large number of items, a limited number of well-selected participants is sufficient to reach saturation and to identify the main viewpoints about a topic [23]. All participants completed the study.

Statement set

A crucial part in conducting a Q-methodology study is developing a comprehensive set of statements, covering the variety of things that people may say or think about the issue being investigated, allowing all participants to reveal their viewpoint [23]. Therefore, a team of clinical and medical education professionals joined forces to develop the statement set. We aimed the set to represent the diversity of possible responses to the question: “thinking about your future career, what is important to you in your medical specialty choice?”. To start, aspects important in specialty preference were identified in the literature. The long-list of items retrieved was reviewed and supplemented with experiences of the team. Next, these items were transformed into statements that could be an answer to the previously stated question. For example: “Working in a prestigious medical specialty”. Subsequently, the statements were discussed with medical students and specialists regarding their ambiguity, clarity, and suitability for use with medical students. After adjustments, the statement set was pilot-tested among students. Pilot participants were asked to comment on the completeness and comprehensibility of the set of statements. Final revisions (by JvE, KSJ and LG) resulted in a set of 62 statements. Themes covered in the statement set included: Personal development/advancement, Lifestyle, Prestige, Service/Altruism, Security and stability, Autonomy and Work-related content.

Data collection

Participants were interviewed in person (by LG). The ranking was instructed as follows: first, participants were handed the statements printed on cards, in random order, asked to read all statements and to categorise them in three piles: important, unimportant and neutral for their choice of a medical specialty. Next, they were asked to take the statements in the “important” pile, to read them once again, and to select the two statements they felt were the most important for their choice of a medical specialty, and place these on the right-hand side of the score sheet in the two spots below the number 5 (see Fig 1). Next, they were asked to read through the remaining statements of the “important” pile, select the four statements they now felt were the most important, and place them in the next column, below 4. This process was repeated until no statements remained in the pile. Then, a similar procedure was followed for the statements in the “unimportant” pile (then ordering from left to right), and for the “neutral” pile (placed in the remaining spots in the middle). These sorting phases are shown in Fig 2. After finishing the ranking of the statements, participants were asked in a face-to-face interview to explain their ranking and in particular the placement of the statements at the extreme ends, and to answer some demographic background questions in a paper-based questionnaire (see S1 Appendix).

Fig 1. Score sheet.

Fig 1

Fig 2. Step-wise representation of the sorting process.

Fig 2

Analysis

By-person factor analysis was used to identify distinct career orientations from the individual ranking data [23]. First, a correlation matrix between the rankings of the statements by the participants is computed. Assuming that if two participants rank the 62 statements in a similar way, they have a similar career orientation, factor analysis (i.e., centroid factor extraction followed by varimax rotation [23]) is then applied to identify the main patterns in the ranking data. The selection of the number of patterns (or factors) to extract from the data is based on statistical criteria (i.e., Eigenvalue >1 and a minimum of two participants statistically significantly associated with the pattern) and whether patterns have a coherent interpretation that is also supported by the corresponding qualitative data from the interviews.

For each identified pattern, an idealized ranking of the data is computed. This is a weighted average ranking of the 62 statements, based on the rankings of participants statistically significantly associated with the pattern (p < .0.05) and their correlation coefficient as weight.

These idealized rankings are then interpreted as distinct career orientations among medical students. Interpretation of each pattern starts by the characterising statements, those with a +5, +4, -4 or -5 score in that pattern, and the distinguishing statements, those with a statistically significant different score (p<0.05) in a pattern as compared to the other patterns. However, a pattern consists of all 62 statements and it is the interrelationship of the many items that ultimately drive our interpretation.

Finally, the qualitative interview data (i.e. the motivations for their ranking of the statements provided by participants) from participants statistically significantly associated with the pattern (p < .0.05) are used to verify and refine the interpretations. Selected quotes from these qualitative materials are used to substantiate the interpretations of the patterns.

Ethical considerations

Prior to participation, all participants were informed about the purpose of the study. Informed consent was obtained beforehand. Participation was voluntary. Participants were explicitly informed that this research did not influence their progression at the medical course. All participants gave written informed consent. Data were processed confidentially and were handled according to the requirements of the Dutch data protection authority. This study was approved in the Netherlands by the NVMO Ethical Review Board (NERB number 812).

Results

Saturation was reached after 24 interviews with medical students. During the last few interviews, no really distinct rankings of the statements or novel motivations for ranking the statements were found. These twenty-four students were from medical schools at two universities, 9 were male and 15 were female. The mean age of participants was 21.3, with a range of 18–27 years. This gender and age distribution is representative of the total student populations [25]. Five participants were in the first year of medical school, three of them in the second year, four in the third year, four in the fourth year, four in the fifth year and three in the sixth year. Table 1 presents the demographic data of our participants.

Table 1. Demographic characteristics participants.

# Study year Gender Nationality First generation higher education Age (in years)
1 4th Male Dutch No 20
2 4th Female Dutch No 21
3 3rd Female Dutch Yes 20
4 3rd Female Dutch No 20
5 2nd Male Non-Western No 19
6 1st Female Dutch No 18
7 3rd Female Western No 20
8 2nd Female Dutch No 19
9 5th Male Dutch No 22
10 5th Male Dutch No 23
11 4th Male Dutch No 24
12 6th Female Dutch No 27
13 1st Female Dutch No 18
14 1st Female Dutch No 22
15 1st Female Non-western No 19
16 1st Female Dutch No 18
17 5th Female Western No 24
18 3th Female Non-Western No 20
19 5th/6th Female Dutch No 25
20 5th Female Dutch No 25
21 4th Male Dutch No 22
22 6th Male Dutch No 24
23 3rd Male Non-Western No 22
24 2nd Male Non-Western No 21

The 24 rankings of the statements supported a maximum of three patterns (i.e. career orientations), which, after inspection for clarity of interpretation and distinctiveness, were retained for interpretation. These three patterns together explained 48% of the total variance in the ranking data, and between 5 and 10 participants were statistically significantly associated with each pattern. These career orientations will be referred to as life-long learning as a calling, work-life balance and achievement and recognition.

Table 2 presents the idealised ranking of the 62 statements for the three patterns, highlighting with an asterisk the statements that were identified as distinguishing statements for these patterns.

Table 2. Idealised rankings of the statement.

# Statement Pattern 1: Life-long learning as a calling Pattern 2: Work-life balance Pattern 3: Achievement and recognition
1 Residency training available near my current home town -3 0** -3
2 Diversity in daily tasks 3** 4 5
3 Work in which I can be creative 1 2 1
4 Work that is mostly about clinical reasoning 0 1 2
5 To experience the gratitude of my patients 2 2 3
6 Work that I can handle mentally 5** 3 2
7 Work that has societal impact 0 -1 3**
8 Having a holistic approach to patients 0 0 0
9 Opportunity to take up a management role 0 -2* 1
10 Work in which I can be innovative 2* 0 1
11 Working in academic medicine 2** 0* -2*
12 The time and effort needed for getting a training position -2 2** -4
13 Possibility to do better than my peers -4 -4 -1**
14 Gaining societal recognition for my work -2 -2 1**
15 Opportunities to take a teaching role 2 0 0
16 To experience the impact my work has on the life of my patients 5 4 3
17 Having security of employment 2 3 0*
18 Focus on one organ or organ system -2 -4 -4
19 Working in a multidisciplinary team 1 3 3
20 Work where I can have a longer relationship with patients 2* 0 1
21 Obtaining a high hierarchical position -4 -4 -1**
22 The setting (e.g. inside/outside a hospital) where I work 3 1 2
23 Work that involves sociopsychological aspects 2 1 -1**
24 Working with a diverse patient group 1 1 3
25 Working with a specific spectrum of diseases -2 -1* -3
26 Work that is mostly about performing practical skills -1 -2 -2
27 Earning a high income -2 -3 -2
28 Compatibility with my (future) private life 1** 5 4
29 Working with like-minded people 1 2 0
30 Working with multi-morbidity -1 -1 -2
31 The opinion of my peers -1 -3 -3
32 Working with newest technical equipment -2** -5 -4
33 A role model I have (had) in a specific specialty -3 -2 -1
34 Work where I do not have to be on call -3 -1 -2
35 A short residency training program -4 -3 -5
36 Focus on guiding chronically ill patients 0** -3 -2
37 Focus on preventive medicine 0 -2 -1
38 My parents’ approval -5 -4 0**
39 Being able to work part-time -3 2** -3
40 Having work that people admire -3 -3 1**
41 Work that enables me to pay off my study loans quickly -5 -3* -4
42 Being able to cure people 3 3 3
43 Work which involves excitement and action -1* 1* 4**
44 Opportunities for lifelong learning 4** 1 2
45 Having a manageable workload 1 3** -1
46 Work that I can handle physically 4** 2 1
47 To be a subspecialist -1 -1 -3
48 Work in which I am required to take risks 0 -1 0
49 Work that is respected by the people close to me -1 -2** 0
50 Working in a prestigious medical specialty -4 -5 -3
51 Following my calling 4 4 2**
52 Work where I have autonomy in making medical decisions -1 0 1
53 Experience I have in a specific specialty 0 1 -1**
54 Opportunities for career advancement 1 2 2
55 Opportunities to get involved in research 4** 0* -2*
56 The amount of administrative work -2 -1 -1
57 Work that suits my qualities 3* 5 5
58 Being recognised for my excellence -1 -2 0
59 To feel proud of my career achievement 3 3 4*
60 Having freedom to organise my own work 1 1 2
61 Work that includes much routine work -3* -1** -5*
62 Having daily contact with patients 3* 4 4

For each statement for each pattern a number ranging from -5 to +5 is displayed. This corresponds to the location of the statement on the grid (as is shown in Fig 1) in the idealized ranking representing that pattern. An asterisk identifies a distinguishing statement.

* = p<0.05;

** = p<0.01

In the next section we present the interpretations of the three patterns as distinct career orientations of medical students. Between parentheses, the scores of the statements for that particular career orientation are given, with the numbers ranging from -5 to +5, corresponding to the placement of the statement on the grid (see Fig 1). Additionally, several quotes given by participants who loaded onto the particular career orientation are provided as support for our interpretation, recognisable by the use of italics for these quotes. Quotes are identifiable by an ‘‘R” followed by a number referring to the unique identifier of the respondent. Tables 35 show the characterising statements of the three career orientations.

Table 3. Characterising statements pattern 1.

# Statement Pattern 1: Life-long learning as a calling Pattern 2: Work-life balance Pattern 3: Achievement and recognition
6 Work that I can handle mentally 5** 3 2
16 To experience the impact my work has on the life of my patients 5 4 3
44 Opportunities for lifelong learning 4** 1 2
46 Work that I can handle physically 4** 2 1
55 Opportunities to get involved in research 4** 0* -2*
51 Following my calling 4 4 2**
13 Possibility to do better than my peers -4 -4 -1**
21 Obtaining a high hierarchical position -4 -4 -1**
35 A short residency training program -4 -3 -5
50 Working in a prestigious medical specialty -4 -5 -3
38 My parents’ approval -5 -4 0**
41 Work that enables me to pay off my study loans quickly -5 -3* -4

Table 5. Characterising statements pattern 3.

# Statement Pattern 1: Life-long learning as a calling Pattern 2: Work-life balance Pattern 3: Achievement and recognition
2 Diversity in daily tasks 3** 4 5
57 Work that suits my qualities 3* 5 5
43 Work which involves excitement and action -1* 1* 4**
59 To feel proud of my career achievement 3 3 4*
28 Compatibility with my (future) private life 1** 5 4
62 Having daily contact with patients 3* 4 4
12 The time and effort needed for getting a training position -2 2** -4
18 Focus on one organ or organ system -2 -4 -4
32 Working with newest technical equipment -2** -5 -4
41 Work that enables me to pay off my study loans quickly -5 -3* -4
35 A short residency training program -4 -3 -5
61 Work that includes much routine work -3* -1** -5*

Table 4. Characterising statements pattern 2.

# Statement Pattern 1: Life-long learning as a calling Pattern 2: Work-life balance Pattern 3: Achievement and recognition
28 Compatibility with my (future) private life 1** 5 4
57 Work that suits my qualities 3* 5 5
2 Diversity in daily tasks 3** 4 5
16 To experience the impact my work has on the life of my patients 5 4 3
51 Following my calling 4 4 2**
62 Having daily contact with patients 3* 4 4
13 Possibility to do better than my peers -4 -4 -1**
18 Focus on one organ or organ system -2 -4 -4
21 Obtaining a high hierarchical position -4 -4 -1**
38 My parents’ approval -5 -4 0**
32 Working with newest technical equipment -2** -5 -4
50 Working in a prestigious medical specialty -4 -5 -3

Career orientation 1: Lifelong learning as a calling

This career orientation was represented by the Q-sorts of three male and three female participants, being first, second, third and fourth year medical students. Students with this career orientation place high value on opportunities to develop oneself (st.44: +4): “That is what I love to do. Keep learning. So that is also what I’m looking for in a future job” [R5]. They are interested in getting involved in research (st.55: +4), being innovative (st.10: +2) and perhaps taking up a teaching role (st.15: +2), and therefore find the academic work setting appealing (st.11: +2). They also place high value on being able to physically and mentally handle their work (st.6: +5; st.46: +4): “But it shouldn’t make you unhappy, you should be able to cope with it mentally” [R16]. An important feature of their future work is its impact on the lives of patients (st.16: +5) and, most of all participants, they seek a setting where they would be able to have longer relationships with patients (st.20:+2; st.36: 0). They don’t pursue work with excitement and action and also attach little importance to the diversity in daily tasks (st.2: +3; st.43:-1).

These medical students mostly want to follow their calling (st.51; +4). Accordingly, they are concerned less than others with external recognition for their job (st.38: -5; st.49: -1; st.21; -4; st.50: -4; st.40: -3; st.14: -2; st.13: -4), work-life balance (st.28:+1), or the possibility the job provides to pay off their study debt swiftly (st.41: -5): “Look, that loan has really quite favourable terms, relatively, there’s no hurry as such and yes sooner or later it’ll come to it, but there’s no hurry” [R5].

Career orientation 2: Work-life balance

This career orientation was represented by 10 participants, nine female and one male, and they varied from second to sixth year medical student. Although medical students with this career orientation also find it important to follow their calling (st.51: +2), they most of all emphasise aspects that are associated with work-life balance. To match their future job with their ideas of their private life is the most important aspect to them. (st.28; +5): “Later on I would just like to be happy at home and not only at work, so it is important to me that the two go well together” [R8]. Accordingly, they attach high importance to job aspects like distance to work (st.1: 0), time and effort needed for obtaining a training position (st.12: +2), and opportunities to work part-time (st.39: +2).

They also prefer a manageable workload (st.45: +3) and, least of all participants, seem to mind routine in work (st.61: -1). Another aspect of work they really care about is whether the work suits their qualities (st.57:+5). They are not very interested in taking up a management or leadership role (st.9: -2; st.21: -4), or being innovative (st.10: 0) or working with the newest technical instruments (st.32: -5).

Financial and job security seem to be of greater importance to students in this viewpoint when compared to the other patterns (41:-3; 17: +3): “…at the end of the day you want to do an education you can actually use and ultimately gets you a job” [R7].

Like medical students with the first career orientation, they perceive external recognition with regard to their job as of little importance (st.38: -4; st.49: -2; st.21: -4; st.50: -5; st.40: -3; st.14: -2; st.31: -3).

Career orientation 3: Achievement and recognition

This career orientation was represented by the sorts of three male and two female students, which were first, fourth and fifth year medical students. In this career orientation it is less about following a calling (st.51: +2) but more about finding a job that fits with their qualities (st.57: +5) and will provide sufficient diversity (st.2: +5) and excitement (st.43: +4) in day-to-day work. These students do not care for much routine work (st.61:-5): “Well, you know, what strikes me is something I don’t care about, that it is really routine and quite opposite to what I do care about, that it is diverse and exciting as well” [R10].

For these medical students it is important that they have societal impact (st.7: +3) and can be proud of their achievements (st.59: +4): “Be proud of my career, just feel good about it. Even if it wouldn’t be in medicine, I just want to enjoy the work I do, be proud of it, be good at it, ‘cause that is what would give me satisfaction” [R9]. However, it is also important that they gain recognition (st.14:+1; st.58: 0) and admiration (st.40: +1) from others; their parents and people close to them(st.38: 0; st.49: 0), but also from society (st.14: +1). More than others, these medical students appreciate job autonomy (st.60: +2; st.52; +1), would not mind to outperform their peers (st.13: -1) and have some interest in taking up a management or leadership role (st.9: +1; st.21: -1). Less than others they aim for work in academic medicine (st.11: -2) and they are little concerned with aspects like the time and effort needed for getting in a training position (st.12: -4), the location of the residency (st.1: -3), the possibility to work part-time (st.39: -3), job security (st.17:0) or a manageable workload (st.45: -1). Of least interest to them was a short residency training program (st.35: -5).

Discussion

In this study, we identified three distinct career orientations among medical students in the Netherlands: one very much focused on lifelong self-development; a second focused more on work-life balance; and a third which was more concerned with achievement and recognition of their work.

The patterns varied mostly on features which were not per se medical content related. Differences emphasised socio-economic and occupational feature preferences, such as lifestyle, prestige and the need for challenge. Students with a “lifelong learning as a calling” orientation expressed a need to be challenged and a desire to have a career that provides them opportunities to keep learning and developing. These students appear willing to sacrifice lifestyle features to a certain extent, yet are not willing to go beyond their physical and mental limits. Additional features of importance were having an impact on the lives of patients with their work and having the feeling to follow their calling. Recognition from others seems to be of minor importance. Medical students with a “work-life balance” orientation to their career primarily expressed a desire for a good balance between work and private life. They expressed lower challenge needs and lowly valued recognition. The “achievement and recognition” career orientation sets itself apart from the other two by a relatively stronger emphasis on recognition. Responsibility and autonomy are distinctively more valued compared to the other two patterns. They are willing to trade-off lifestyle features to some extent in return for diversity of daily tasks, a job fitting with their qualities, recognition and impact.

The primary differentiating elements in career orientations thus seem to be need for challenge, work-life balance and recognition. Especially work-life balance is receiving growing attention in recent literature, reflecting its importance for the current generation [26]. This is an interesting finding since it contrasts with the fact that the medical profession is known to be a demanding profession in which physicians work hard, and make long days. Remarkably, particularly female participants defined the career orientation work-life balance. This methodology is not suited to make definitive statements about prevalence of a career orientation in certain subgroups. However, one might wonder whether work-life considerations might still be of more importance to female medical students. Notwithstanding, recent research showing the importance of work-life balance for male students [27], our data suggest that female participants give a higher priority to work-life considerations. Students in the work-life balance also were further along their education. This prompts the question whether more experience in the field will push students to the work-life orientation or that life-events along the way will make students turn to this career orientation. The current generation of medical specialists tend to place work first, while the current generation of medical students and residents (often referred to as millennials) [28] might value time off and lifestyle more [29]. Open conversations on lifestyle preferences and career choices between medical students or graduates and the current generation of medical specialists might be hindered by the general expectations of the latter that one should prioritise work over private life [30]. These expectations might convey (unconscious) messages to students, raising barriers to discuss work-life balance features with their educators and role models. This is even more relevant as work-life balance is one of the major reasons for attrition during residency and career changes of physicians already in practice [3134]. Therefore it is important to consider the preferences of medical students with regard to work-life balance in medical training and work settings. A complicating aspect for medical students in taking work-life balance values into account in their medical specialty choice is that their work-life balance values might shift over time, making it difficult to make a lifelong sustainable specialty choice. However, it is expected that reflecting on and exploring one’s career decisions can help individuals to make decisions that are compatible with their current lifestyle and flexible to changes therein, in order to meet with evolving work-life needs during their career [19].

In the interviews following the ranking of the 62 statements, students were asked how they experienced the sorting exercise. All participants recognised that prioritising their values, needs, and motivations in this particular way helped them to get insight in their priorities. In their opinion this would help them in thorough career decision making, thereby suggesting that Q-sorting could be used as a career guidance tool. This also creates opportunities to address the maldistribution by on one hand opening a new window on medical specialties to become more attractive, while on the other hand guiding students to the insight what features of future work are most important to them and stimulating them to explore the medical specialties accordingly. Many features (e.g. “working in a multidisciplinary team”) can be found in multiple specialties. Showing this to students by enabling a broad exploration might be a promising start in striving towards a better distribution over the specialties.

Because the approach used in this study stimulated participants to consider and prioritise a broad range of aspects that may be relevant to their career orientation, our results offer an in-depth understanding of important features guiding specialty preferences among medical students. It is anticipated that by exploring and prioritising their values, needs and motivations in this way, students are stimulated to go through their career decision making process in a more rational way. Although this could be a way to improve the quality of the decision [35], it is probably not how most students approach this process in practice. If so, students could benefit from career counselling, or individual coaching.

It is tempting to link a specific career orientations to certain medical specialties. Although this would certainly be interesting to further explore in future research, there is a pitfall to it. First of all, this study showed us the work-related content statements were not the distinguishing factors between these career orientations. That raises the question whether different career orientations can be found in medical specialists in a medical specialty. Secondly, linking certain career orientations to medical specialties might inhibit the exploration phase, risking reinforcement of the maldistribution over the medical specialties.

Some limitations of this study need to be highlighted. Although our sample strategy was focused on maximising variety in order to collect the potentially wide range of perspectives, it is possible that we have missed an important career orientation among medical students. Beforehand we expected to find more heterogeneity in career orientations. This lack in heterogeneity might be explained either by our study design, or by a homogeneity in medical school. Regarding our study design, we might have sampled from a homogeneous group of students, despite our attempt to actively seek maximum variety. However, this homogeneity might also be caused by medical school selection, perhaps selecting students with certain motives, values or talents, or it might be that there is a wider variety in career orientations at the start of medical school, but that through learning or socialisation (i.e. students learning a way of perceiving, thinking and acting) this variety decreases over the years.

Therefore a promising route for future research would be to explore if, how and why career orientations change during medical school, and whether this differs between students and schools with different characteristics. This might be particularly valuable in the context of increasing diversity in medical students, as previous career management research suggested that job values might, for instance, be dependent on social origins and gender. Cross-cultural research would also be beneficial to get an idea of the sociocultural dependence of these orientations, and the validity of the findings outside the context of this study.

Our findings have potential implications for career guidance and career choice skills training in medical students. Practically, examining and understanding career orientations among students can help in career counselling of medical students. Career management literature claims that self-awareness of values, interests and preferences in work and private life is essential in making appropriate career decisions [36]. Individuals’ occupational decisions tend to be more appropriate and long-term satisfying when they are preceded by extensive career exploration, including self-awareness reflection [36]. In addition, goals are likely to be more realistic when they are based on accurate pictures of oneself and the career field.

On top of that stimulating students to start with exploring and prioritising their work values, preferences and motives might enable more appropriate and long-term satisfying decisions, and might be a valuable starting point to encourage students to consider a broader scope of medical specialties. Career choice theories all seem to include some form of cognitive reflection on motivation before a wide exploration. Although preferences and priorities might shift during clinical experiences, if students are offered the tools to reflect on, explore and better steer their own career choice process, they are able to use these skills and tools later on in their careers as well. This can prime students to make more rational decisions that are compatible with their values, interests and motives, with the potential of decreasing dropout during or after training [37]. The statement sorting exercise presented here actually might be an effective tool to help students to self-explore. Most students participating in this study found it useful for their own preference formation process, as they were challenged to think about the importance they attach to a variety of aspects relative to each other.

Before being able to intervene with career coaching, medical educationalists need to attend to the following conditions. First of all, being able to self-explore and learn the career management competencies in an effective way requires a safe non-judgmental environment, which might need some work in the setting of medical education. The safety might be restricted by messages the medical school or teachers consciously or unconsciously convey with regard to career opportunities in the medical field. Implicit beliefs and norms are transmitted to medical students in the so-called hidden curriculum, as a side effect of formal education [38]. As medical students try to adapt to the values of their teachers and role models, this hidden curriculum may have a strong influence on medical students’ willingness to openly discuss their values, needs and motives, especially when feeling that these deviate from their teachers or role models. Some students may even rethink their career aspirations when confronted with denigrating remarks about physicians in that particular specialty.

A second concern in the context of the mismatch between career aspirations of medical students and the needs for medical specialists in society is that the focus on the requirements for getting into medical school and postgraduate medical education might actually discourage any attempts for effective career management by students. The time invested in self-exploration and exploring potentially matching specialties cannot be invested in building a résumé that will help them get into medical specialty training, and can be perceived as a disadvantage to peers competing for the same training opportunities.

Conclusion

We distinguished three career orientations among medical students in the Netherlands that differ in the importance of challenge, work-life balance, and recognition in relation to their career choices.

We argued that offering all students career coaching in which they are required to explore and prioritise their values, needs, and motivations is a good start. It might be promising to challenge students to broadly explore the medical specialties on their match with their identified values, needs, and motivations in order to actualise a better distribution over the specialties, while not risking dissatisfying careers. In any case, a better understanding of the career orientations of students is helpful in reconfiguring opportunities in the medical workforce in a way that helps achieve a better distribution over the specialties from a societal perspective, while still stimulating students to pursue a satisfying and sustainable medical career.

Supporting information

S1 Appendix. Questionnaire.

(DOCX)

Data Availability

For the sake of confidentiality, full data are not publicly accessable. Additional anonymized data is available upon request. Data available on request are the Q-sort data and the anonymized interviewdata (in Dutch). Data requests can be sent to Prof. Dr. Walter van den Broek, scientific director of the institute of Medical Education Research Rotterdam (W.W.vandenbroek@erasmusmc.nl).

Funding Statement

The research program is funded by the Dutch Ministry of Health, Welfare and Sports—Project: Dedicated Schakeljaar. The funding body had no influence on the design of the study and collection, analysis, and interpretation of data and writing of the manuscript.

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Decision Letter 0

Sina Safayi

2 Nov 2020

PONE-D-20-29474

Career orientations of medical students: a Q-methodology study

PLOS ONE

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Reviewer #1: Thanks for the really interesting paper. It was terrific to read about the influence of student values on their career concepts; as this something that is rarely contemplated in formal higher education and medical training.

Your explanation of how you used Q methodology to analyse your problem was well done, particularly for a lay audience.

In your discussion on the selection of participants on page 6, I think it would have been more compelling and more rigorous had you expanded on the different “background characteristics” of the participants. It could be suggested that demographics, particularly cultural and socio-economic influencers would have an impact on the responses to the questions you asked the participants, more so than their gender and stage of study.

The collection of statements used and the analysis seemed appropriate for the research problem.

On pages 10 and 11 the phrase “defined by sorts of..” is used. This is not a typically utilized phrase in English and is confusing to the reader. I suggest a clearer statement is used to help the reader understand the participants who were identified.

It would have been more helpful to view the data in a graphical presentation so that the reader can quickly see the trends (a table is quite difficult to interpret and the values placed next the text content are hard to compare throughout the document). Perhaps a bar chart with positive and negative axes could be used.

Your discussion was interesting but requires further consideration and perhaps the addition of further data. In your conclusions (p14) you state that “our results offer an in-depth understanding of specialty preferences among medical students”. While I think you have certainly elucidated a commonality between med student values and the aspects of work that they find attractive (“career orientations”); you have yet to demonstrate a clear linkage between these aspects and specialities. It would be favourable to link the 3 identified career orientations with specific specialities so that you can then make this claim. Data from a focus group of practicing specialists may be required to where you could survey them for alignment of these to each speciality (For example what specialties most align to “achievement and recognition”).

Once again, a valuable investigation for the career development and guidance of medical students, but it may require some minor changes as discussed.

Reviewer #2: I appreciate the amount of work the authors have undertaken in this endeavor and have a few suggestions and clarifications that I hope may add to the value of this submitted manuscript.

1. in the introduction part, the authors forgot to give the introduction heading and started with the mismatch, which is really confusing and looks out of place.

2. In the method part, authors mentioned the JvE, KSJ and LG who revised the 62 statements. These abbreviations were not mentioned in the orther of authors. Please mention to avoid any misunderstanding.

Reviewer #3: Peer-review - Career orientations of medical students: A Q-methodology study

Summary of research and overall impression

The authors set out to understand the actual decision-making process medical students go through when choosing a specialty. The research aim and analytical approach are clearly stated as presented by the question of understanding the process of medical specialty preference formation and the utilization of Q-methodology. This hybrid methodology included qualitative and quantitative methods ensuring results could be presented in data form as well as presenting anonymized excerpts of participant voices to further support the quantitative findings. This study contributes to and advances the existing literature on specialty choice of medical students. This is a relevant and on-going topic that needs continued investigation and exploration.

The following is a breakdown of various sections of the study with compliments and comments related to clarification and technical structure.

Mismatch

The mismatch of supply of medical professionals and societal healthcare demands was approached by understanding the career aspirations of medical students. Specifically, addressing the actual decision-making process students go through when choosing a specialty. There is a grammatical error in line 41.

Career aspirations

This section presents a good vetting of the literature related to the understanding of medical specialty choice and does a good job of honing in on the decision-making process as the focal point for this study. There are grammar and punctuation errors in lines 81, 83 and 91.

Research aim

The research aim and analytical approach are clearly stated as presented by the question of understanding the process of medical specialty preference formation and the utilization of Q-methodology. There are grammar and punctuation errors in lines 102 and 103.

Methods

Study design, Context and Participants

The study design, context and participants sections are each well-written. There are grammar and punctuation errors in lines 120, 121.

Statement set

The process by which the Statement set was developed is thorough and seemingly well-vetted. The authors are serious and invested in the design of the Q-sort as is evidenced by their meticulous vetting process of reviewing the literature related to specialty preference, engaging clinical and medical education professionals in the design of the statement set, piloting the statement set among students, and revising the statements with feedback obtained to initiate the official study. There are grammar and punctuation errors in lines 146 and 149.

Data Collection

The description of the sorting process needs clarity and more detail in the description. The authors may want to consider using a series of visuals to depict each phase of the sorting process along with a more detailed description of each phase of the sorting process that ultimately leads to the final product in Figure 1. Since data is vital to any study, it is important to also include, perhaps as an addendum a list of the demographic questions on the paper-based questionnaire. Including these details will show transparency and enhance the validity of your overall study.

Analysis

The analysis, as it is framed, supports the study. For clarity on the idealized rankings, it would be helpful to include in the analysis, the statements that support each pattern.

Ethical Considerations

This section is well-outlined.

Results

The introductory paragraph of this section initiates a good summary and would be more strongly supported by explicitly stating the three main findings: life-long learning, work-life balance, and career achievement respectively. I suggest considering modification of the construct of the introductory paragraph to include these as it frames the detailed explanation you provide for each of the findings throughout the remainder of this section.

For each of the career orientations you have identified, you attempt to address their validity with your hybrid q-data. The information you present is supportive and might better serve the reader with consistent organization and more definitive grouping of the results as important, unimportant and neutral. I share the following for career orientation 1 as an example and follow with a note for career orientation 2:

Career orientation 1: Lifelong learning as a calling

It is helpful that you unpack the rankings and validity of the statements on your Q-sort that support this career orientation. As you reference Table 1, you should indicate which pattern (1, 2 or 3) to which this section relates. I question if you are attempting to take the results of this portion of the Q-sort and further organize the results into most important, neutral and unimportant? If so, it is best to explicitly state that for organizational purposes and understanding for readers.

Further, if I am following Table 1 correctly, the three highest ranked items supporting life-long learning are: Handling work mentally, opportunities for lifelong learning, work that can be handled physically and opportunities to get involved in research. Some of the data in Table 1 seems contrary to your explanation (for example, see statement 6). I could be misunderstanding your interpretation and if so, is there a way to construct your explanation to be clearer about the intention of those students who value lifelong learning as a calling?

Career orientation 2: Work-life balance

For consistency, begin this section the same way you began the last section – use the same structure of phrasing in your opening sentence as the previous section.

Discussion

The discussion section is well-organized; synthesizes the career orientation patterns found in the study; and supports salient and on-going issues broadly faced in the medical profession: attrition, work-life balance, generational differences among others. The authors also appropriately questioned the use of Q-sorting as a career guidance tool and other possible career counseling or career coaching activities. The authors identified appropriate study limitations as well as recommendations for future research.

Of particular note in the discussion section is the suggestion of intentional career development activities at the on-set as well as throughout medical school training to provide students with the opportunity for an informed perspective when it comes to making a specialty choice.

There are grammatical and punctuation errors on lines 315, 316, 372, 374

Reviewer #4: Thank you for the opportunity to review this manuscript. As noted above, my recommendation is for this paper to be published with minor - I hope - revisions. The overall narrative of the paper is clear, however, I note 7 ways in which I think this manuscript can be improved:

1. The body of the paper is does not have major issues, but the introduction starts with a frame of reference on the lack of adequate numbers of medical professionals in certain specialties then transitions to a separate problem of the connection between student interests and the alignment with their career selection. I think the strength of this paper would be improved with a more explicit link between what the authors see as the connection between career exploration and the lack of enough medical professionals in certain specialities. I think this could be addressed by adding, close to the end of the paper, their perspective on the relationship between these two topics.

2. The authors raise an important point in the middle of the discussion - regarding the homogeneity (or possible homogeneity - of the students who are admitted to medical school. If the data reflect what is a problem with diversity of the student body and reflects the criteria for admission, my instinct is that perhaps one way to consider how to ensure who can fill these various speciality gaps would be to consider who gets into medical school.

3. Line 118...The authors write "Demographic characteristics of their students and their curricula are quite similar." How do they know that: can they provide contextual data to prove/clarify that? Which characteristics of the students are they thinking about? Do they mean gender alone? Or are they consider socioeconomic. geographic, other background factors that could be relevant? In line 335, the authors comments on the homogeneity of the population and so this information could be important.

4. The discussion of the paper might be enriched by a commentary on the "year of progress" in which students landed, particularly for Career Orientations 1 and 2. In reading, I noted that Cohort 1 ("life long learning") were years 1-4 students while Cohort 2 ("work-life balance") were years 2-6. While the qualitative approaches in this study accurately address their questions, and I do not want to encourage overstating results from a limited number of participants, I think this observation is noteworthy: does more experience in the field turn the optimism of lifelong learning to work-life balance, for example, correlate with life events?

5. Line 155...I am not sure that I understand what "labour content" means, particularly considering the parallel structure in which it is included alongside other terms.

6. At line 220, I was first prompted to consider the impact of the ordering of the terms in the list study participants were asked to rank. How was the order determined? Table 1 suggests it was not presented as an alphabetical list. Is there any reason to be concerned about the influence of the order of the list and the way people responded? If so, this should be addressed in the results/discussion.

7. Finally, the overall writing is good. I noted some grammatical/punctuation errors which do not change the context of the statements, but could be corrected to further strengthen the manuscript:

...lines 14/15...."many countries are struggling with a misalignment of specialty preferences of students and (add) THEIR societal needs regarding (add) THE future medical workforce."

...line 38...."health professionals to societal demands is essential in aspiring (add)TO CREATE an affordable health"

...line 138..."agreed (add)TO participation, completed the study. "

...line 372..."there are conditions which (change) <<has to="">> HAVE to be met,</has>

Reviewer #5: Dear Authors,

Thank you for undertaking this study and writing up your findings. The question of trainee career path selection is important and timely and I commend you for describing the importance (and sometimes confounding) effect of faculty bias and university culture on medical student career choice.

I have some comments and concerns related to study design which lead me to answer "partly" for question #1.

The stated research aim is "to contribute to the understanding of the process of medical specialty preference formation, by focusing on student career orientations." (line 101) The Q methodology employed sheds light on student work place preferences, values and motivations, but there was no mention of the students' career path preferences. It would be a more valuable study if study participants who were grouped into these three categories were also asked which medical specialties they were highly considering. If the subgroups are each interested in the same specialty fields that would go a long way to explaining the mismatch that is described in some detail in the introduction.

24 study participants seems like a low number. Missing from the methods section is how many total students are in these two medical training programs. For example do these 24 study participants equate to 10% of the students or 90%. Why did the authors not invite all students to participate? Perhaps the answer is that there was not enough staff time to conduct the 1-1 interviews.

Relatedly, line 198 describes the gender breakdown and other demographics of the study participants. How does this relate to the demographics of the entire student population. The answer to this question is important in predicting if there was selection bias in the study. If the demographics of the study participants and complete student populations are different then that should be discussed in the limitations section.

More explanation or a citation is needed to describe what is meant on line 173 by varimax rotation analysis.

The abstract states (line 30) "These insights can help reconfigure opportunities in the medical workforce and shift career choices of medical students closer towards future needs in society." I would say that this statement is an overreach given the study design and results. There is no discussion about the likely specialties chosen by the groupings identified in the study. Nor are there suggestions given in the paper for how to reconfigure opportunities in the medical workforce, based on the findings.

The strengths of the study include 1) reconfirming the importance of career counseling for students in professional and graduate training; 2) acknowledging the discontent among rising medical professionals with some aspects of the current medical workplace; 3) encouraging early career guidance and facilitated introspection to help medical students prepare for a satisfying career.

In response to question #4 there are multiple typographical and grammatical errors in the document.

Reviewer #6: I found the article “Career orientations of medical students: a Q-methodology study” a worthwhile contribution to understanding the unconscious preferences that medical students may have in choosing their careers, and how further exploring these preferences may help guide medical students towards satisfying professions. The authors suggest that a deeper examination of medical students’ career goals may assist in the ability of societies to fill unmet needs in the profession, either directly by retaining physicians and preventing burnout, or as they indirectly imply, by encouraging the students to pursue a career that better matches the needs of a society.

The manuscript appears to be novel, has merit and is well written, yet there are some minor revisions suggested to help improve the manuscript.

1. One of the references they cited (Cleland JA et al.) used surveys of 810 students. Q-methodology understandably requires a lot more commitment from the human subjects, and therefore can be expected to have a smaller number of participants, yet it might be helpful to demonstrate that 24 students were a big enough sample size to justify their conclusions.

2. The authors seem to imply that self-examination of long-term priorities and goals of medical students will help prevent burnout (understood), yet they also seem to indirectly imply that this practice will help fulfill societal needs that are currently unmet. This concept was brought up at the beginning (lines 29-47) and end of the paper (lines 400-403). For example, in lines 29-32, they state “These insights can help reconfigure opportunities in the medical workforce and shift career choices of medical students closer towards future needs in society.” Do they seem to imply that increasing the awareness of medical students who value work-life balance will increase the number of medical students pursuing a career in elderly care or public health (societal needs stated in the manuscript)? Please elaborate.

3. The authors compare how the Q-test differs from similar assessments of medical student career orientation (lines 63-70). Is this Q-test assessment of medical student career orientation to your knowledge novel? If so, please state so. Can your results be compared with Q-test analysis of career choices in other health care fields (pharmacists, dentists, nurses etc.)?, it seems like there was at least one in my brief search that discussed career choices of pharmacy students. Did other studies show potential in the self-analysis process helping meet societal needs for occupations in health care delivery?

4. Much of the statistical jargon used might not be readily understood by the casual reader of PLOS ONE. Perhaps a brief explanation would help the casual reader for some of the topics. For example,

“sampling and snowballing”, “convenience sample” in lines 130-131.

“JvE, KSJ and LG” on line 153

“By-person factor analysis, centroid factor analysis, varimax rotation” line 172-173- is it possible to provide a brief 1-2 sentence explanation describing how these showed a maximum of three factors?

5. Is it possible to include an example of the paper-based questionnaire (without student answers)? Line 170

6. Please clarify the use of “participants to identify consecutive participants” (line 134), does this mean that students participating in the study would recruit other students to participate in the study? Would this potentially hurt the diversity of students in the study? Could this potentially explain why 15 out of the 24 subjects were female?

7. Approximately how many clinical and medical education professionals participated in the creation of the statement set (lines 143-144)?

8. Is it possible to include a figure describing how a maximum of 3 career orientations could explain 48% of the variance. This is a major part of the study and it would be helpful to help the novice reader understand how the data can be used to show that three different career paths could be obtained from the data.

9. Do the authors have any comment/discussion on how work-life balance was the one career path overwhelmingly chosen by female students?

10. Some of the discussion can be consolidated and shortened e.g. “Medical students with a work-life balance orientation to their career primarily expressed a desire for a good balance between work and private life” lines 284-286

11. Was there a survey to demonstrate that the students felt that the practice benefited their values, needs and motivations? Authors indicated the students felt that they benefited from the exercise, yet if no official survey was done, they should state so. Lines 315-317, and 367-368

12. Table 1 – please label Pattern 1, 2, 3 with regards to the indicated career orientation, e.g. work-life balance

13. Is it possible to include additional tables that rank each of the statement for the three career orientations?

For example Career orientation 1: List most important at top, least important at bottom, do for the other career orientations. Table 1 by itself is hard to quickly process by itself.

**********

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Reviewer #1: No

Reviewer #2: No

Reviewer #3: No

Reviewer #4: No

Reviewer #5: No

Reviewer #6: No

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Attachment

Submitted filename: Article Review _10.22.2020.docx

PLoS One. 2021 May 21;16(5):e0249092. doi: 10.1371/journal.pone.0249092.r002

Author response to Decision Letter 0


15 Feb 2021

We would like to thank the editor and the reviewers for their thorough review.

General comments

1. Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming.

We carefully revised the manuscript following these requirements.

2. The data presented in PLOS ONE manuscripts must support the conclusions drawn (http://journals.plos.org/plosone/s/criteria-for-publication#loc-4).

Please ensure that the limitations of your study are sufficiently acknowledged and that your conclusions are directly supported by the data; in particular, please ensure that you provide a justification for drawing conclusions beyond the sample surveyed.

We ensured that the limitations of the study are sufficiently acknowledged, that conclusions are supported by the data and we were more explicit in conclusions beyond the sample surveyed.

3.Thank you for including your ethics statement: "The ethical review board of the Netherlands Association for Medical Education (Nederlandse Vereniging voor Medisch Onderwijs [NVMO]) approved the study (NERB number 812).".

Please provide additional details regarding participant consent. In the ethics statement in the Methods and online submission information, please ensure that you have specified what type you obtained (for instance, written or verbal, and if verbal, how it was documented and witnessed). If your study included minors, state whether you obtained consent from parents or guardians. If the need for consent was waived by the ethics committee, please include this information.

Once you have amended this/these statement(s) in the Methods section of the manuscript, please add the same text to the “Ethics Statement” field of the submission form (via “Edit Submission”).

For additional information about PLOS ONE ethical requirements for human subjects research, please refer to http://journals.plos.org/plosone/s/submission-guidelines#loc-human-subjects-research.

All participants gave written informed consent. (page 10 line 219, 220 of the manuscript without track changes and page 11 line 259-560 in the manuscript with track changes)

4. We would like to ask the Corresponding Author to please provide their institutional email address.

The corresponding author provided her institutional email address.

5.We note that you have indicated that data from this study are available upon request. PLOS only allows data to be available upon request if there are legal or ethical restrictions on sharing data publicly. For information on unacceptable data access restrictions, please see http://journals.plos.org/plosone/s/data-availability#loc-unacceptable-data-access-restrictions.

In your revised cover letter, please address the following prompts:

a) If there are ethical or legal restrictions on sharing a de-identified data set, please explain them in detail (e.g., data contain potentially identifying or sensitive patient information) and who has imposed them (e.g., an ethics committee). Please also provide contact information for a data access committee, ethics committee, or other institutional body to which data requests may be sent.

b) If there are no restrictions, please upload the minimal anonymized data set necessary to replicate your study findings as either Supporting Information files or to a stable, public repository and provide us with the relevant URLs, DOIs, or accession numbers. Please see http://www.bmj.com/content/340/bmj.c181.long for guidelines on how to de-identify and prepare clinical data for publication. For a list of acceptable repositories, please see http://journals.plos.org/plosone/s/data-availability#loc-recommended-repositories.

We will update your Data Availability statement on your behalf to reflect the information you provide.

The reason for having data available on request is the small sample size, causing ethical restrictions when providing both the demographic characteristics of the participants in combination with the Q-sort data. Data could traceable to the individual.

Comments to the Author

Reviewer #1:

Thanks for the really interesting paper. It was terrific to read about the influence of student values on their career concepts; as this something that is rarely contemplated in formal higher education and medical training.

Your explanation of how you used Q methodology to analyse your problem was well done, particularly for a lay audience.

We thank the reviewer for investing time in reviewing our manuscript and for his/her kind words.

In your discussion on the selection of participants on page 6, I think it would have been more compelling and more rigorous had you expanded on the different “background characteristics” of the participants. It could be suggested that demographics, particularly cultural and socio-economic influencers would have an impact on the responses to the questions you asked the participants, more so than their gender and stage of study.

We agree with the reviewer that the cultural and social background characteristics of the participants could have impact on the rankings of the participants. Therefore, we added a table with the background characteristics of the participants on page 25, 26 of the revised manuscript without track changes and on page 27-28 of the revised manuscript with the track changes.

The collection of statements used and the analysis seemed appropriate for the research problem.

On pages 10 and 11 the phrase “defined by sorts of..” is used. This is not a typically utilized phrase in English and is confusing to the reader. I suggest a clearer statement is used to help the reader understand the participants who were identified.

We replaced “defined by sorts of ..” by “was represented by the Q-sorts of..” on page 11, line 249 and page 12 line 269 and page 13 line 290 of the revised manuscript without track changes and on page 13, line 294 and line 314 and on page 14 line 335 of the revised manuscript with the track changes.

It would have been more helpful to view the data in a graphical presentation so that the reader can quickly see the trends (a table is quite difficult to interpret and the values placed next the text content are hard to compare throughout the document). Perhaps a bar chart with positive and negative axes could be used.

By adding table 3, 4 and 5 (tables with characterising statement per career orientation) on page 29, 30 and 31 of the manuscript without track changes we aimed to make the data easier to oversee and retrieve.

Additionally, we removed information which is less relevant from table 2 to make it easier to oversee the relevant data.

Your discussion was interesting but requires further consideration and perhaps the addition of further data. In your conclusions (p14) you state that “our results offer an in-depth understanding of specialty preferences among medical students”. While I think you have certainly elucidated a commonality between med student values and the aspects of work that they find attractive (“career orientations”); you have yet to demonstrate a clear linkage between these aspects and specialities. It would be favourable to link the 3 identified career orientations with specific specialities so that you can then make this claim. Data from a focus group of practicing specialists may be required to where you could survey them for alignment of these to each speciality (For example what specialties most align to “achievement and recognition”).

Initially, linking career orientations to medical specialties was also our line of thinking. However, while analysing these Q-sorts, we started to realize that the professional content statements were not the distinguishing factors between these career orientations. Within specialties a medical specialist can have different career orientations. Therefore matching career orientations to specific specialties is not helpful based on our data. This made us realize that probably the gain of aligning the medical students preferences and future societal needs probably is in a broad exploration based on their priorities which become apparent in their Q-sorts. In that exploration they can become aware that there are more suitable career options than they may have expected in the first place.

We elaborated on these considerations in the discussion:

“It is tempting to link a specific career orientations to certain medical specialties. Although this would certainly be interesting to further explore in future research, there is a pitfall to it. First of all, this study showed us the work-related content statements were not the distinguishing factors between these career orientations. That raises the question whether different career orientations can be found in medical specialists in a medical specialty. Secondly, linking certain career orientations to medical specialties might inhibit the exploration phase, risking reinforcement of the maldistribution over the medical specialties.” Page 16, line 379-385 of the revised manuscript without track changes and on page 18, line 436-442 of the revised manuscript with the track changes.

Once again, a valuable investigation for the career development and guidance of medical students, but it may require some minor changes as discussed.

Thank you. We feel our manuscript improved by your suggestions.

Reviewer #2:

I appreciate the amount of work the authors have undertaken in this endeavor and have a few suggestions and clarifications that I hope may add to the value of this submitted manuscript.

We thank the reviewer for his/her review and suggestions to improve our manuscript.

1. in the introduction part, the authors forgot to give the introduction heading and started with the mismatch, which is really confusing and looks out of place.

We added the heading Introduction (on page 3 line 36 of the revised manuscript without track changes and on page 3 line 37 of the revised manuscript with the track changes).

2. In the method part, authors mentioned the JvE, KSJ and LG who revised the 62 statements. These abbreviations were not mentioned in the order of authors. Please mention to avoid any misunderstanding.

We added the abbreviations of the authors in the order of the authors (on page 1 line 2,3 of the revised manuscript without track changes and on page 1, line 2,3 of the revised manuscript with the track changes).

Reviewer #3:

Summary of research and overall impression

The authors set out to understand the actual decision-making process medical students go through when choosing a specialty. The research aim and analytical approach are clearly stated as presented by the question of understanding the process of medical specialty preference formation and the utilization of Q-methodology. This hybrid methodology included qualitative and quantitative methods ensuring results could be presented in data form as well as presenting anonymized excerpts of participant voices to further support the quantitative findings. This study contributes to and advances the existing literature on specialty choice of medical students. This is a relevant and on-going topic that needs continued investigation and exploration.

We thank the reviewer for his/her thorough reviewing of our manuscript and for his/her kind words.

The following is a breakdown of various sections of the study with compliments and comments related to clarification and technical structure.

Mismatch

The mismatch of supply of medical professionals and societal healthcare demands was approached by understanding the career aspirations of medical students. Specifically, addressing the actual decision-making process students go through when choosing a specialty. There is a grammatical error in line 41.

We rephrased line 41 to correct the grammatical error.

Career aspirations

This section presents a good vetting of the literature related to the understanding of medical specialty choice and does a good job of honing in on the decision-making process as the focal point for this study. There are grammar and punctuation errors in lines 81, 83 and 91.

The grammar and punctuation errors in lines 81, 83 and 91 were revised.

Research aim

The research aim and analytical approach are clearly stated as presented by the question of understanding the process of medical specialty preference formation and the utilization of Q-methodology. There are grammar and punctuation errors in lines 102 and 103.

The grammar and punctuation errors in lines 102 and 103 were revised.

Methods

Study design, Context and Participants

The study design, context and participants sections are each well-written. There are grammar and punctuation errors in lines 120, 121.

The grammar and punctuation errors in lines 120, 121 were revised.

Statement set

The process by which the Statement set was developed is thorough and seemingly well-vetted. The authors are serious and invested in the design of the Q-sort as is evidenced by their meticulous vetting process of reviewing the literature related to specialty preference, engaging clinical and medical education professionals in the design of the statement set, piloting the statement set among students, and revising the statements with feedback obtained to initiate the official study. There are grammar and punctuation errors in lines 146 and 149.

The grammar and punctuation errors in lines 146, 149 were revised.

Data Collection

The description of the sorting process needs clarity and more detail in the description. The authors may want to consider using a series of visuals to depict each phase of the sorting process along with a more detailed description of each phase of the sorting process that ultimately leads to the final product in Figure 1. Since data is vital to any study, it is important to also include, perhaps as an addendum a list of the demographic questions on the paper-based questionnaire. Including these details will show transparency and enhance the validity of your overall study.

We rephrased the description of the sorting process with the aim of a more clear description of the process (on page 8 line 176-190 of the revised manuscript without track changes and on page 8, 9 line 189-205 of the revised manuscript with the track changes). The suggestion of using visuals is very helpful, we added figures explaining the sorting process (on page 25 of the revised manuscript without track changes and on page 26-27 of the revised manuscript with the track changes).

We added the list of the demographic questions on the paper-based questionnaire to the appendix (on page 32 of the revised manuscript without track changes and on page 34. of the revised manuscript with the track changes).

Analysis

The analysis, as it is framed, supports the study. For clarity on the idealized rankings, it would be helpful to include in the analysis, the statements that support each pattern.

The idealized rankings are the result of the analysis. Based on the consensus and distinguishing statements one could interpret the factors resulting in the description of the career orientations. As Q-sort is a mixed method, one could not claim that the distinguishing factors are the only factors that support the pattern. To give more insight on the starting point for the interpretation we added tables with the characterising statements of the career orientations. These tables can be found on page 29, 30, and 31 of the revised manuscript without track changes and on page 31, 32, and 33 of the revised manuscript with the track changes.

Ethical Considerations

This section is well-outlined.

Results

The introductory paragraph of this section initiates a good summary and would be more strongly supported by explicitly stating the three main findings: life-long learning, work-life balance, and career achievement respectively. I suggest considering modification of the construct of the introductory paragraph to include these as it frames the detailed explanation you provide for each of the findings throughout the remainder of this section.

We followed your suggestion and the results section is now more clear by explicitly stating the three main findings in the introductory paragraph: “These career orientations will be referred to as life-long learning as a calling, work-life balance and achievement and recognition.” These changes can be found on page 10 line 235, 236, 237 of the revised manuscript without track changes and on page 12, line 278, 279 of the revised manuscript with the track changes.

For each of the career orientations you have identified, you attempt to address their validity with your hybrid q-data. The information you present is supportive and might better serve the reader with consistent organization and more definitive grouping of the results as important, unimportant and neutral. I share the following for career orientation 1 as an example and follow with a note for career orientation 2:

We understand the suggestion for a more consistent organization, however, as often within q-sort methodology there are no thresholds to precisely determine which statements are important, neutral or unimportant. We interpreted and described the orientations by determining statements’ relative importance, i.e. being more important or less important than other statements within a particular orientation. Since it was the relative importance we were most interested in, we did not ask our participants to define the borders between important, neutral and unimportant and we let them at any time of the ordering move statements if they felt this was necessary to display their viewpoint best. So, if we would organize the statements in important, neutral and unimportant this would be our grouping of the statements, not that of the participants. Furthermore, the interpretation also includes the qualitative data. All in all, we therefore feel a consistent organization is not feasible.

Career orientation 1: Lifelong learning as a calling

It is helpful that you unpack the rankings and validity of the statements on your Q-sort that support this career orientation. As you reference Table 1, you should indicate which pattern (1, 2 or 3) to which this section relates. I question if you are attempting to take the results of this portion of the Q-sort and further organize the results into most important, neutral and unimportant? If so, it is best to explicitly state that for organizational purposes and understanding for readers.

We added references with orientation names to the table with the idealized rankings (page 27 and 28 of the manuscript without track changes, page 29-30 of the manuscript with track changes). As stated in reaction to the previous comment we do not feel it is feasible to further organize the results in most important, neutral and unimportant, since we do not have thresholds to classify statements in one of the three categories. It is the relative importance to other statements which distinguishes the career orientations and therefore is described in the results.

Further, if I am following Table 1 correctly, the three highest ranked items supporting life-long learning are: Handling work mentally, opportunities for lifelong learning, work that can be handled physically and opportunities to get involved in research. Some of the data in Table 1 seems contrary to your explanation (for example, see statement 6). I could be misunderstanding your interpretation and if so, is there a way to construct your explanation to be clearer about the intention of those students who value lifelong learning as a calling?

Although consensus, distinguishing factors and the statements at the extreme ends take an important role in coming to an interpretation, it is the interrelationship of the many items within the career orientation that should drive our interpretation of the career orientation. One searches for patterns in the career orientations and relates these possible patterns with the qualitative data from the interviews. This means that the emphasis might be more on patterns found in the midsection than on the extreme ends and that there might be an emphasis on statements which are not distinguishing statements. We rephrased the analysis part of the methods. We added tables with the characterising statements of each career orientation, with the aim to make it easier to find these results. These changes can be found on page 29, 30, and 31 of the revised manuscript without track changes and on page 31, 32, and 33 of the revised manuscript with the track changes

Career orientation 2: Work-life balance

For consistency, begin this section the same way you began the last section – use the same structure of phrasing in your opening sentence as the previous section.

We changed the phrase about the demographic characteristics of the represented participants in the orientations to be congruent. These changes can be found on page 11, line 249, 250 of the revised manuscript without track changes and on page 13 line 295 of the revised manuscript with the track changes.

Discussion

The discussion section is well-organized; synthesizes the career orientation patterns found in the study; and supports salient and on-going issues broadly faced in the medical profession: attrition, work-life balance, generational differences among others. The authors also appropriately questioned the use of Q-sorting as a career guidance tool and other possible career counseling or career coaching activities. The authors identified appropriate study limitations as well as recommendations for future research.

Of particular note in the discussion section is the suggestion of intentional career development activities at the on-set as well as throughout medical school training to provide students with the opportunity for an informed perspective when it comes to making a specialty choice.

There are grammatical and punctuation errors on lines 315, 316, 372, 374

Grammatical and punctuation errors in lines 315, 316, 372 and 374 were revised.

Reviewer #4:

Thank you for the opportunity to review this manuscript. As noted above, my recommendation is for this paper to be published with minor - I hope - revisions. The overall narrative of the paper is clear, however, I note 7 ways in which I think this manuscript can be improved:

Thank you for constructive review of our manuscript.

1. The body of the paper is does not have major issues, but the introduction starts with a frame of reference on the lack of adequate numbers of medical professionals in certain specialties then transitions to a separate problem of the connection between student interests and the alignment with their career selection. I think the strength of this paper would be improved with a more explicit link between what the authors see as the connection between career exploration and the lack of enough medical professionals in certain specialities. I think this could be addressed by adding, close to the end of the paper, their perspective on the relationship between these two topics.

We feel we strengthened our manuscript by making a more explicit link between the career exploration and the lack of enough medical professionals in certain specialties. Below the parts of the manuscript we revised to make this link more clear:

“This also creates opportunities to address the maldistribution by on one hand opening a new window on medical specialties to become more attractive, while on the other hand guiding students to the insight what features of future work are most important to them and stimulating them to explore the medical specialties accordingly. Many features (e.g. “working in a multidisciplinary team”) can be found in multiple specialties. Showing this to students by enabling a broad exploration might be a promising start in striving towards a better distribution over the specialties.” (page 16, line 362-368 of the revised manuscript without track changes and on page17, line 414-421 of the revised manuscript with the track changes).

“We argued that offering all students career coaching in which they are required to explore and prioritise their values, needs, and motivations is a good start. It might be promising to challenge students to broadly explore the medical specialties on their match with their identified values, needs, and motivations in order to actualise a better distribution over the specialties, while not risking dissatisfying careers.”

(on page 19 line 452-459 of the revised manuscript without track changes and on page 21 line 510-517 of the revised manuscript with the track changes).

2. The authors raise an important point in the middle of the discussion - regarding the homogeneity (or possible homogeneity - of the students who are admitted to medical school. If the data reflect what is a problem with diversity of the student body and reflects the criteria for admission, my instinct is that perhaps one way to consider how to ensure who can fill these various speciality gaps would be to consider who gets into medical school.

We agree with the reviewer on the possible relation with the selection for medical school. This is, in our view, important in multiple ways. First of all, the type of person one selects could have an influence on later specialty preferences. Secondly, the criteria for admission and the message we are sending out to potential medical students on what is important could have a major influence on specialty preferences. However the medical school selection is years apart from the medical specialty choice, in which there are probably multiple factors of influence on medical specialty preference. Therefore, we do not think we could solve the misalignment of student preferences for medical specialties and future societal needs by solely changing the selection for medical school. Based on these arguments, we decided not the further elaborate on the role of selection of medical school in the manuscript.

3. Line 118...The authors write "Demographic characteristics of their students and their curricula are quite similar." How do they know that: can they provide contextual data to prove/clarify that? Which characteristics of the students are they thinking about? Do they mean gender alone? Or are they consider socioeconomic. geographic, other background factors that could be relevant? In line 335, the authors comments on the homogeneity of the population and so this information could be important.

We added a reference to support our statement of the similarity of the different medical schools: “Demographic characteristics of their students and their curricula are quite similar [24].” (on page 6, line 128-129 of the revised manuscript without track changes and on page 6, line 137-138 of the revised manuscript with the track changes).

4. The discussion of the paper might be enriched by a commentary on the "year of progress" in which students landed, particularly for Career Orientations 1 and 2. In reading, I noted that Cohort 1 ("life long learning") were years 1-4 students while Cohort 2 ("work-life balance") were years 2-6. While the qualitative approaches in this study accurately address their questions, and I do not want to encourage overstating results from a limited number of participants, I think this observation is noteworthy: does more experience in the field turn the optimism of lifelong learning to work-life balance, for example, correlate with life events?

This is indeed an interesting observation. We added an elaboration on these findings in the discussion section: “Students in the work-life balance also were further along their education. This prompts the question whether more experience in the field will push students to the work-life orientation or that life-events along the way will make students turn to this career orientation.” (page 15, line 339-341 of the revised manuscript without track changes and on page 16 line 388-392 of the revised manuscript with the track changes).

5. Line 155...I am not sure that I understand what "labour content" means, particularly considering the parallel structure in which it is included alongside other terms.

We changed the term “labour content” to “work-related content” (page 8, line 173 of the revised manuscript without track changes and on page 8, line 186 of the revised manuscript with the track changes).

6. At line 220, I was first prompted to consider the impact of the ordering of the terms in the list study participants were asked to rank. How was the order determined? Table 1 suggests it was not presented as an alphabetical list. Is there any reason to be concerned about the influence of the order of the list and the way people responded? If so, this should be addressed in the results/discussion.

The statements were presented to the participants in a random order (see page 8, line 176, 177 of the revised manuscript without track changes and page 9 line 190, 191in the revised manuscript with track changes).

7. Finally, the overall writing is good. I noted some grammatical/punctuation errors which do not change the context of the statements, but could be corrected to further strengthen the manuscript:

...lines 14/15...."many countries are struggling with a misalignment of specialty preferences of students and (add) THEIR societal needs regarding (add) THE future medical workforce."

...line 38...."health professionals to societal demands is essential in aspiring (add)TO CREATE an affordable health"

...line 138..."agreed (add)TO participation, completed the study. "

...line 372..."there are conditions which (change) <> HAVE to be met,

We have corrected these sentences.

Reviewer #5:

Dear Authors,

Thank you for undertaking this study and writing up your findings. The question of trainee career path selection is important and timely and I commend you for describing the importance (and sometimes confounding) effect of faculty bias and university culture on medical student career choice.

Thank you for reviewing our manuscript. Thank you for the kind words.

I have some comments and concerns related to study design which lead me to answer "partly" for question #1.

The stated research aim is "to contribute to the understanding of the process of medical specialty preference formation, by focusing on student career orientations." (line 101) The Q methodology employed sheds light on student work place preferences, values and motivations, but there was no mention of the students' career path preferences. It would be a more valuable study if study participants who were grouped into these three categories were also asked which medical specialties they were highly considering. If the subgroups are each interested in the same specialty fields that would go a long way to explaining the mismatch that is described in some detail in the introduction.

In our demographic questionnaire we asked students what their current medical specialty preference was. We could not find very obvious patterns in the distribution of medical specialty preferences in the different career orientations.

However, our aim with this study was to find underlying values and motivations, not so much the actual specialty choice. This would be an interesting direction for future research, but we would not be surprised to see that medical specialists within a particular specialty could have different career orientations.

24 study participants seems like a low number. Missing from the methods section is how many total students are in these two medical training programs. For example do these 24 study participants equate to 10% of the students or 90%. Why did the authors not invite all students to participate? Perhaps the answer is that there was not enough staff time to conduct the 1-1 interviews.

We understand that the small number of participants raised questions. This number is not based on logistic restrictions. Because the used methodology is not strengthened by large sample sizes, we invested in a thorough development of the Q-set and in the sampling strategy. A limited number of well-selected participants is sufficient to reach saturation and to identify the main viewpoints about a topic.[23]

Relatedly, line 198 describes the gender breakdown and other demographics of the study participants. How does this relate to the demographics of the entire student population. The answer to this question is important in predicting if there was selection bias in the study. If the demographics of the study participants and complete student populations are different then that should be discussed in the limitations section.

To give more insight in how our participants’ demographics relate to the demographics of the entire student population we added: “

These twenty-four students were from medical schools at two universities, 9 were male and 15 were female. The mean age of participants was 21.3, with a range of 18-27 years. This gender and age distribution is representative of the total student populations.[25] Five participants were in the first year of medical school, three of them in the second year, four in the third year, four in the fourth year, four in the fifth year and three in the sixth year.” (page 10 line 227-231 of the manuscript without track changes and page 12, line 267-273 of the manuscript with the track changes).

More explanation or a citation is needed to describe what is meant on line 173 by varimax rotation analysis.

We rephrased the analysis part of the method section to be more clear on our analysis and we added a citation with regard to the varimax rotation analysis.

“By-person factor analysis was used to identify distinct career orientations from the individual ranking data.[23] First, a correlation matrix between the rankings of the statements by the participants is computed. Assuming that if two participants rank the 62 statements in a similar way, they have a similar career orientation, factor analysis (i.e., centroid factor extraction followed by varimax rotation [23]) is then applied to identify the main patterns in the ranking data. The selection of the number of patterns (or factors) to extract from the data is based on statistical criteria (i.e., Eigenvalue >1 and a minimum of two participants statistically significantly associated with the pattern) and whether patterns have a coherent interpretation that is also supported by the corresponding qualitative data from the interviews.” (page 9 line 194-202 of the manuscript without track changes and page line 209-217 of the manuscript with the track changes).

The abstract states (line 30) "These insights can help reconfigure opportunities in the medical workforce and shift career choices of medical students closer towards future needs in society." I would say that this statement is an overreach given the study design and results. There is no discussion about the likely specialties chosen by the groupings identified in the study. Nor are there suggestions given in the paper for how to reconfigure opportunities in the medical workforce, based on the findings.

We rephrased the sentence: “This knowledge can help to design interventions to shift career choices of medical students closer towards future needs in society.” page 1 line 30-31 of the manuscript without track changes and page 2 line 30, 31 of the manuscript with the track changes).

Besides rephrasing the sentence we added more explanation on the link between knowledge on career orientations and meeting future societal workforce needs (more details in reaction to reviewer 4, first comment).

The strengths of the study include 1) reconfirming the importance of career counseling for students in professional and graduate training; 2) acknowledging the discontent among rising medical professionals with some aspects of the current medical workplace; 3) encouraging early career guidance and facilitated introspection to help medical students prepare for a satisfying career.

Thank you for your kind words.

In response to question #4 there are multiple typographical and grammatical errors in the document.

We reviewed the manuscript on typographical and grammatical errors.

Reviewer #6:

I found the article “Career orientations of medical students: a Q-methodology study” a worthwhile contribution to understanding the unconscious preferences that medical students may have in choosing their careers, and how further exploring these preferences may help guide medical students towards satisfying professions. The authors suggest that a deeper examination of medical students’ career goals may assist in the ability of societies to fill unmet needs in the profession, either directly by retaining physicians and preventing burnout, or as they indirectly imply, by encouraging the students to pursue a career that better matches the needs of a society.

The manuscript appears to be novel, has merit and is well written, yet there are some minor revisions suggested to help improve the manuscript.

Thank you for investing time in our manuscript. Thanks for the kind words. We appreciate the suggestions to improve our manuscript.

1. One of the references they cited (Cleland JA et al.) used surveys of 810 students. Q-methodology understandably requires a lot more commitment from the human subjects, and therefore can be expected to have a smaller number of participants, yet it might be helpful to demonstrate that 24 students were a big enough sample size to justify their conclusions.

As mentioned above in response to reviewer #5, the used methodology is not strengthened by large sample sizes. In Q-sort a limited number of well-selected participants is sufficient to reach saturation and to identify the main viewpoints about a topic. A thorough development of a Q-sort statement set and well-sampled participants does strengthen the methodology.

2. The authors seem to imply that self-examination of long-term priorities and goals of medical students will help prevent burnout (understood), yet they also seem to indirectly imply that this practice will help fulfill societal needs that are currently unmet. This concept was brought up at the beginning (lines 29-47) and end of the paper (lines 400-403). For example, in lines 29-32, they state “These insights can help reconfigure opportunities in the medical workforce and shift career choices of medical students closer towards future needs in society.” Do they seem to imply that increasing the awareness of medical students who value work-life balance will increase the number of medical students pursuing a career in elderly care or public health (societal needs stated in the manuscript)? Please elaborate.

We elaborated that on one hand reconfiguring medical specialties and on the other hand guiding students to broadly explore on the basis of their priorities might be an interesting start for striving towards a better distribution. We added: “This also creates opportunities to address the maldistribution by on one hand opening a new window on medical specialties to become more attractive, while on the other hand guiding students to the insight what features of future work are most important to them and stimulating them to explore the medical specialties accordingly. Many features (e.g. “working in a multidisciplinary team”) can be found in multiple specialties. Showing this to students by enabling a broad exploration might be a promising start in striving towards a better distribution over the specialties.” (page 16 line 362-368 of the revised manuscript without track changes and on page 17, 18, line 414-421 of the revised manuscript with the track changes).

3. The authors compare how the Q-test differs from similar assessments of medical student career orientation (lines 63-70). Is this Q-test assessment of medical student career orientation to your knowledge novel? If so, please state so. Can your results be compared with Q-test analysis of career choices in other health care fields (pharmacists, dentists, nurses etc.)?, it seems like there was at least one in my brief search that discussed career choices of pharmacy students. Did other studies show potential in the self-analysis process helping meet societal needs for occupations in health care delivery?

We added: “Although Q-sort methodology has previously been used in career research, this study is the first to apply a Q-sort approach to medical career research.”(page 5 line 93-94 of the manuscript without track changes and page 5 line 100, 101 of the manuscript with the track changes).

4. Much of the statistical jargon used might not be readily understood by the casual reader of PLOS ONE. Perhaps a brief explanation would help the casual reader for some of the topics. For example,

“sampling and snowballing”, “convenience sample” in lines 130-131.

“JvE, KSJ and LG” on line 153

“By-person factor analysis, centroid factor analysis, varimax rotation” line 172-173- is it possible to provide a brief 1-2 sentence explanation describing how these showed a maximum of three factors?

We further elaborated on convenience sample, sampling and snowballing in the participants section:

“As we had no prior information about which career orientations exist among students and which students have these different orientations, a combination of convenience sampling and snowballing was used. As a starting point of the data collection we approached a convenience sample of medical students, i.e. an easy-to-reach group consisting of participants varying in year of medical school and background characteristics that we anticipated to be relevant for capturing the diversity of viewpoints among medical students, as is common in Q-methodology.[23] In order to reach a more diverse group, snowballing was used. This means we asked participants from the convenience sample to suggest consecutive participants, based on their expectations that these other students would have similar or dissimilar career aspirations. The main purpose of our sampling strategy was including a diverse group of medical students that would help us to identify the variety in career orientations.”(page 7 line 142-152 of the manuscript without track changes and page 7 line 152-165 of the manuscript with the track changes)

We introduced the abbreviations JvE, KSJ and LG by introducing those in the author order line. (page 1 line 2, 3 of both the manuscript with and without track changes).

We rephrased the analysis part of the method aiming to be more clear with regard to the by-person factor analysis, centroid factor analysis and varimax rotation:

“By-person factor analysis was used to identify distinct career orientations from the individual ranking data.[23] First, a correlation matrix between the rankings of the statements by the participants is computed. Assuming that if two participants rank the 62 statements in a similar way, they have a similar career orientation, factor analysis (i.e., centroid factor extraction followed by varimax rotation [23]) is then applied to identify the main patterns in the ranking data. The selection of the number of patterns (or factors) to extract from the data is based on statistical criteria (i.e., Eigenvalue >1 and a minimum of two participants statistically significantly associated with the pattern) and whether patterns have a coherent interpretation that is also supported by the corresponding qualitative data from the interviews.

For each identified pattern, an idealized ranking of the data is computed. This is a weighted average ranking of the 62 statements, based on the rankings of participants statistically significantly associated with the pattern (p<.0.05) and their correlation coefficient as weight.

These idealized rankings are then interpreted as distinct career orientations among medical students. Interpretation of each pattern starts by the characterising statements, those with a +5, +4, -4 or -5 score in that pattern, and the distinguishing statements, those with a statistically significant different score (p<0.05) in a pattern as compared to the other patterns. However, a pattern consists of all 62 statements and it is the interrelationship of the many items that ultimately drive our interpretation.

Finally, the qualitative interview data (i.e. the motivations for their ranking of the statements provided by participants) from participants statistically significantly associated with the pattern (p<.0.05) are used to verify and refine the interpretations. Selected quotes from these qualitative materials are used to substantiate the interpretations of the patterns.” (Page 9 line 194-214 of the manuscript without track changes and page 9-10, line 209- 229 of the manuscript with track changes).

5. Is it possible to include an example of the paper-based questionnaire (without student answers)? Line 170

The paper-based questionnaire is added in the Appendix. Page 32 of the manuscript without track changes and page 34 of the manuscript with track changes.

6. Please clarify the use of “participants to identify consecutive participants” (line 134), does this mean that students participating in the study would recruit other students to participate in the study? Would this potentially hurt the diversity of students in the study? Could this potentially explain why 15 out of the 24 subjects were female?

We further elaborated on our sampling strategy: “As we had no prior information about which career orientations exist among students and which students have these different orientations, a combination of convenience sampling and snowballing was used. As a starting point of the data collection we approached a convenience sample of medical students, i.e. an easy-to-reach group consisting of participants varying in year of medical school and background characteristics that we anticipated to be relevant for capturing the diversity of viewpoints among medical students, as is common in Q-methodology.[23] In order to reach a more diverse group, snowballing was used. This means we asked participants from the convenience sample to suggest consecutive participants, based on their expectations that these other students would have similar or dissimilar career aspirations. The main purpose of our sampling strategy was including a diverse group of medical students that would help us to identify the variety in career orientations.” (page 7 line 142-152 of the manuscript without track changes and page 7 line 152-164 of the manuscript with track changes)

With regard to the over-representation of women we added a sentence in the results section: “These twenty-four students were from medical schools at two universities, 9 were male and 15 were female. The mean age of participants was 21.3, with a range of 18-27 years. This gender and age distribution is representative of the total student populations.[25]” (page 10 line 228-229 of the manuscript without track changes and page 12 line 267-271 of the manuscript with track changes)

7. Approximately how many clinical and medical education professionals participated in the creation of the statement set (lines 143-144)?

Three clinical and 3 medical education professionals participated in the creation of the statement set. To be more clear we rephrased the sentence regarding the team involved in the statement set development: “Therefore, a team of clinical and medical education professionals joined forces to develop the statement set.” (page 7 line 160, 161 of the revised manuscript without track changes and on page 8, line 173, 174 of the revised manuscript with the track changes).

8. Is it possible to include a figure describing how a maximum of 3 career orientations could explain 48% of the variance. This is a major part of the study and it would be helpful to help the novice reader understand how the data can be used to show that three different career paths could be obtained from the data.

We are not aware of a method of visualizing this procedure. We clarified the procedure by rephrasing the analysis part of the methods. These changes can be found on page 9 line 194-202 of the manuscript without track changes and page 9,10 and line 209-229 of the manuscript with track changes.

9. Do the authors have any comment/discussion on how work-life balance was the one career path overwhelmingly chosen by female students?

We further elaborated on this finding in the discussion section: “Remarkably, particularly female participants defined the career orientation work-life balance. This methodology is not suited to make definitive statements about prevalence of a career orientation in certain subgroups. However, one might wonder whether work-life considerations might still be of more importance to female medical students. Notwithstanding, recent research showing the importance of work-life balance for male students,[27] our data suggest that female participants give a higher priority to work-life considerations.” (page 14, line 333-339 of the revised manuscript without track changes and on page 16, line 379-387 of the revised manuscript with the track changes)

10. Some of the discussion can be consolidated and shortened e.g. “Medical students with a work-life balance orientation to their career primarily expressed a desire for a good balance between work and private life” lines 284-286

Thank you for the suggestion. We changed the discussion and this sentence.

11. Was there a survey to demonstrate that the students felt that the practice benefited their values, needs and motivations? Authors indicated the students felt that they benefited from the exercise, yet if no official survey was done, they should state so. Lines 315-317, and 367-368

As the reviewer points out, we were not clear enough in describing the data underpinning our statement that the students felt that the practice benefits their values, needs and motivations. We elaborated on this by adding the following sentences: “In the interviews following the ranking of the 62 statements, students were asked how they experienced the sorting exercise. All participants recognised that prioritising their values, needs, and motivations in this particular way helped them to get insight in their priorities. In their opinion this would help them in thorough career decision making, thereby suggesting that Q-sorting could be used as a career guidance tool.”Page 15, 16, line 258-362 of the revised manuscript without track changes and page 17, line 409-414 the revised manuscript with the track changes).

12. Table 1 – please label Pattern 1, 2, 3 with regards to the indicated career orientation, e.g. work-life balance

We labeled the patterns with the career orientation names. Page 27, 28 of the revised manuscript without track changes and page 29, 30 of the revised manuscript with the track changes)

13. Is it possible to include additional tables that rank each of the statement for the three career orientations?

For example Career orientation 1: List most important at top, least important at bottom, do for the other career orientations. Table 1 by itself is hard to quickly process by itself.

We added tables with characterising statements in order to enable a better quick overview of our results. These tables can be found on page 29, 30, 31 of the revised manuscript without track changes and on page 31, 32, and 33 of the revised manuscript with the track changes.

We would like to thank the reviewers again for their time and energy invested in reviewing our manuscript. We feel the suggestions of the reviewers improved our manuscript.

Please let us know if any more changes are required. We hope you will accept our paper for publication in PLOS ONE.

Attachment

Submitted filename: Response to the reviewers.docx

Decision Letter 1

Sina Safayi

11 Mar 2021

Career orientations of medical students: a Q-methodology study

PONE-D-20-29474R1

Dear Dr. Gennissen,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

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Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation.

Reviewer #1: All comments have been addressed

Reviewer #5: All comments have been addressed

Reviewer #6: (No Response)

**********

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Reviewer #1: Yes

Reviewer #5: Yes

Reviewer #6: Yes

**********

3. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #5: Yes

Reviewer #6: Yes

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Reviewer #1: Yes

Reviewer #5: Yes

Reviewer #6: Yes

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Reviewer #1: Yes

Reviewer #5: Yes

Reviewer #6: Yes

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6. Review Comments to the Author

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Reviewer #1: Well done and thanks for your revision and responses - it reads much better and your analysis and conclusions are quite compelling. I look forward to seeing your follow-on studies.

Reviewer #5: I recommend publication based on the improvements to the paper. Thank you to the authors for the time they put in to the study and writing it up.

Reviewer #6: (No Response)

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Acceptance letter

Sina Safayi

12 May 2021

PONE-D-20-29474R1

Career orientations of medical students: a Q-methodology study

Dear Dr. Gennissen:

I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department.

If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org.

If we can help with anything else, please email us at plosone@plos.org.

Thank you for submitting your work to PLOS ONE and supporting open access.

Kind regards,

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on behalf of

Dr. Sina Safayi

Academic Editor

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Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 Appendix. Questionnaire.

    (DOCX)

    Attachment

    Submitted filename: Article Review _10.22.2020.docx

    Attachment

    Submitted filename: Response to the reviewers.docx

    Data Availability Statement

    For the sake of confidentiality, full data are not publicly accessable. Additional anonymized data is available upon request. Data available on request are the Q-sort data and the anonymized interviewdata (in Dutch). Data requests can be sent to Prof. Dr. Walter van den Broek, scientific director of the institute of Medical Education Research Rotterdam (W.W.vandenbroek@erasmusmc.nl).


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