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Training methods that improve MD–PhD student self-efficacy for clinical research skills

Published online by Cambridge University Press:  14 October 2019

Mathew Sebastian
Affiliation:
Lillian S. Wells Department of Neurosurgery, University of Florida College of Medicine, Gainesville, FL, USA MD-PhD Training Program, University of Florida College of Medicine, Gainesville, FL, USA
Matthew A. Robinson
Affiliation:
Office of Research, University of Central Florida College of Medicine, Orlando, FL, USA
Leanne Dumeny
Affiliation:
MD-PhD Training Program, University of Florida College of Medicine, Gainesville, FL, USA Department of Pharmacotherapy and Translational Research, Genetics Institute, University of Florida College of Pharmacy, Gainesville, FL, USA
Kyle A. Dyson
Affiliation:
Lillian S. Wells Department of Neurosurgery, University of Florida College of Medicine, Gainesville, FL, USA MD-PhD Training Program, University of Florida College of Medicine, Gainesville, FL, USA
Joseph C. Fantone
Affiliation:
Department of Pathology, Immunology & Laboratory Medicine, University of Florida College of Medicine, Gainesville, FL, USA
Wayne T. McCormack*
Affiliation:
MD-PhD Training Program, University of Florida College of Medicine, Gainesville, FL, USA Department of Pathology, Immunology & Laboratory Medicine, University of Florida College of Medicine, Gainesville, FL, USA Office of Biomedical Research Career Development, University of Florida Health Science Center, Gainesville, FL, USA
W. Stratford May*
Affiliation:
MD-PhD Training Program, University of Florida College of Medicine, Gainesville, FL, USA Department of Medicine, Division of Hematology and Oncology, University of Florida College of Medicine, Gainesville, FL, USA
*
Address for correspondence: W. T. McCormack, PhD, Department of Pathology, Immunology & Laboratory Medicine, University of Florida College of Medicine, 1249 Center Drive, Room CG-72K Gainesville, FL 32610, USA. Email: [email protected]
W. Stratford May, MD, PhD, Department of Medicine, Division of Hematology & Oncology, University of Florida College of Medicine, 1600 SW Archer Road, P.O. Box 100278 Gainesville, FL 32610, USA. Email: [email protected]
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Abstract

Introduction:

MD-PhD training programs train physician-scientists to pursue careers involving both clinical care and research, but decreasing numbers of physician-scientists stay engaged in clinical research. We sought to identify current clinical research training methods utilized by MD–PhD programs and to assess how effective they are in promoting self-efficacy for clinical research.

Methods:

The US MD–PhD students were surveyed in April–May 2018. Students identified the clinical research training methods they participated in, and self-efficacy in clinical research was determined using a modified 12-item Clinical Research Appraisal Inventory.

Results:

Responses were received from 61 of 108 MD–PhD institutions. Responses were obtained from 647 MD–PhD students in all years of training. The primary methods of clinical research training included no clinical research training, and various combinations of didactics, mentored clinical research, and a clinical research practicum. Students with didactics plus mentored clinical research had similar self-efficacy as those with didactics plus clinical research practicum. Training activities that differentiated students who did and did not have the clinical research practicum experience and were associated with higher self-efficacy included exposure to Institutional Review Boards and participation in human subject recruitment.

Conclusions:

A clinical research practicum was found to be an effective option for MD–PhD students conducting basic science research to gain experience in clinical research skills. Clinical research self-efficacy was correlated with the amount of clinical research training and specific clinical research tasks, which may inform curriculum development for a variety of clinical and translational research training programs, for example, MD–PhD, TL1, and KL2.

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Association for Clinical and Translational Science 2019

Introduction

The core mission of MD–PhD training programs is to train physician-scientists to be translators of benchtop discoveries into clinical research advances [1]. Concern has been expressed over the past several decades about the overall attrition in the physician-scientist workforce, and the research career challenges faced by physician-scientists have been described [Reference Bensken2,Reference Ginsburg3]. Common challenges include administrative hurdles, obtaining Institutional Review Board (IRB) approval, difficulty of subject recruitment, administering complicated informed consent agreements, securing protected time for investigators, and completing large amounts of regulatory paperwork [Reference English, Lebovitz and Griffin4,Reference Dilts5]. Without building self-efficacy (confidence) for skills necessary to conduct clinical research, trainees and early career stage physician-scientists may not choose to pursue career pathways that utilize their combined clinical and research training skills [Reference Scoglio and Fichera6]. Little is known about the methods used by MD–PhD programs to provide training in clinical research and how to overcome barriers to conducting clinical research.

One strategy for enhancing the engagement of MD–PhD trainees in clinical research is to provide clinical research experiences during training that develop self-efficacy for these research skills. Self-efficacy theory posits that those who are confident in their ability to complete a specific task are more likely to engage in that behavior and are more likely to persist despite obstacles that may arise [Reference Mullikin, Bakken and Betz7,Reference Bandura8]. Social cognitive career theory highlights self-efficacy as a major factor influencing career choices and decisions, suggesting that trainees possessing high confidence in their clinical research skills are more likely to pursue careers in clinical research [Reference Lent, Brown and Hackett9]. Although self-efficacy is generally accepted to be a positive predictor of scholarly productivity and research interest [Reference Phillips and Russell10,Reference Bishop and Bieschke11], studies have shown that the positive relationship between self-efficacy and performance may partially be explained as a function of performance’s influence on self-efficacy and not the other way around [Reference Stajkovic and Luthans12]. Additionally, other studies have concluded that self-efficacy leads to overconfidence which, in return, leads to a negative relationship between performance and self-efficacy [Reference Stone13,Reference Vancouver14]. Although confidence in performing a given task may not equate directly with the actual ability to perform the task, increased confidence in clinical research is evidence that MD–PhD programs are at least exposing students to clinical research. Assessment tools that measure clinical research self-efficacy may then be useful to evaluate the impact of research training programs’ curricula in promoting the development of future physician-scientists who focus on clinical research.

MD–PhD curricula are constantly evolving to integrate clinical and research training within educational environments that traditionally separate medical and graduate research training. Curricula designed to promote cognitive integration, connecting distinct domains of knowledge to achieve conceptual coherence, have been demonstrated to improve transfer, reasoning, and future learning [Reference Kulasegaram15Reference Woods, Brooks and Norman18]. In order to achieve such integration of clinical and research training, some programs have adopted clinical research practicum courses, that is, experiential learning programs, in which students design and carry out a hypothesis-driven, supervised investigation involving human subjects. In this study, we assess the methods currently used by MD–PhD programs for clinical research training alone or in combinations, that is, didactic courses, mentored clinical research, and clinical practicum courses. Furthermore, we investigate the effect of these training methods on student self-efficacy relating to several measures important for clinical research. Through distribution by MD–PhD directors and coordinators, we invited MD–PhD students nationwide to participate in an anonymous, web-based survey to determine what their clinical research training experiences have been and utilized the Clinical Research Appraisal Inventory (CRAI) to assess student’s self-efficacy in items important for clinical research [Reference Robinson19]. We hypothesized that students who received hands-on training in clinical research, such as mentored clinical research for dissertation work or a clinical research practicum, would have greater self-efficacy in several characteristics of clinical research as compared with those who had not received clinical research training or received didactic training alone.

Materials and Methods

Study Design

Of the 127 US MD–PhD Training Institutions listed by the Association of American Medical Colleges, 108 were found to have functional MD–PhD Program webpages and/or institutional email addresses [20]. Program directors and coordinators were emailed an anonymous online survey link via Qualtrics Survey Software (Qualtrics, Provo, UT) and asked to forward the survey information to their students (Supplementary material Appendix S1). Directors were sent two reminder emails. No compensation was provided for this study. Data were collected from April 1st to May 31st, 2018. Participants consented on the first page of the Qualtrics Survey prior to starting the survey. The survey asked for the name of their current institution, year of training, and method of clinical research training they had received as an MD–PhD student, with the following options: (1) none, (2) didactic coursework, (3) formal student practicum program, (4) clinical research training by a primary research mentor, and/or (5) other (specified by the student). Clinical research was defined as research involving human participants either through direct interaction or through the collection and analysis of blood, tissues, or other samples. A clinical research practicum was defined as experiential learning that included a hypothesis-driven, supervised investigation involving human subjects that implements a clinical research design. This study was approved as exempt by the University of Florida IRB (IRB201800047) on February 15, 2018. This study did not receive outside funding.

Measures

The CRAI was designed to assess the self-efficacy of students in performing different aspects of clinical research. A modified version of the 12-item CRAI was used to evaluate students in six domains aligned with skills for conducting clinical research: Planning; Designing and Collecting; Funding; Conceptualizing and Collaborating; Protecting; Reporting, Interpreting, and Presenting [Reference Robinson19]. The inventory in this study was rated on a 1–10 scale (1 = no confidence to 10 = total confidence).

Statistical Analysis

We categorized the free-text answers and analyzed the responses using descriptive statistics. All tests were two-sided, and significance was defined as P < 0.05. Tukey’s multiple comparisons of means tests were used to determine significant differences between clinical research training methods. Z-score tests for two population proportions were used to determine differences in tasks completed among different clinical research training methods. Unpaired t tests using the Bonferroni–Dunn method for multiple comparisons were used to assess differences in self-efficacy in the clinical research domains among students completing research tasks that were likely to involve direct human subject interaction (IRB submission, IRB approval, subject recruitment) versus research tasks that do not necessarily involve direct human subject interaction (data collection, data analysis, publication). Cronbach’s alpha tests were used to assess the internal consistency of the instrument. Descriptive statistics and figures were generated using Prism 7 (Version 7, GraphPad Software, La Jolla, CA).

Results

Participation

Responses were obtained from 61 of the 108 medical schools contacted, leading to an institutional response rate of 56.5%. The geographic census regions of the participating MD–PhD institutions in this study closely represent the total MD–PhD institution distribution among US geographical census regions (Table 1). The participating programs collectively enroll approximately 65.7% of the estimated 5494 MD–PhD students currently in training [21]. Of the 61 institutions that responded, 37 had Clinical and Translational Science Awards (CTSA) and 32 had Medical Scientist Training Program awards. Of the 647 participants who provided informed consent, 613 identified their year in program, 594 identified the type of clinical research training they have received, 504 participants answered at least one CRAI question, and 500 answered all 12 CRAI questions. With a total of 3613 MD–PhD students at the 61 medical schools represented [21], the response rate was 17.9%, with 13.8% completing the entire survey.

Table 1. Demographics of MD–PhD respondents to a survey regarding clinical research training methods and self-efficacy in clinical research in the USA, 2018

CRAI, Clinical Research Appraisal Inventory; CI, confidence interval; MS1, Medical School Year 1; MS2, Medical School Year 2; GS1, Graduate School Year 1; GS2, Graduate School Year 2; GS3, Graduate School Year 3; GS4, Graduate School Year 4; GS5, Graduate School Year 5; GS6, Graduate School Year 6; GS7, Graduate School Year 7; MS3, Medical School Year 3; MS4, Medical School Year 4.

a Derived from Association of American Medical Colleges data (https://students-residents.aamc.org/applying-medical-school/article/mdphd-degree-programs-state/; accessed March 5, 2018).

b Derived from Association of American Medical Colleges data (https://www.aamc.org/download/321554/data/factstableb11-2.pdf; accessed September 17, 2018).

Clinical Research Training Methods Used

First, we assessed the various training methods currently used by MD–PhD programs to train students in clinical research (Table 2). Of the 594 students who responded to this question, 150 (25.3%) responded saying they have received no training in clinical research, 194 (32.7%) respondents had completed didactic coursework, and 70 (11.8%) respondents said they were doing clinical research with their primary research mentor. All other responses were combinations of clinical research training methods: 106 (17.8%) of respondents experiencing didactics and mentored clinical research; 22 (3.7%) respondents experiencing didactics plus clinical research practicum; 4 (0.7%) have had mentored clinical research plus a clinical research practicum; and 48 (8.1%) of respondents experienced didactics, mentored clinical research, and a clinical research practicum. Because year in program influences the opportunity for clinical research training, participation in each training method was determined by year (Supplementary material Appendix S2). By the end of their first year of training (Medical School Year 1 (MS1)), 39.5% (34 out of 86) of students had received no clinical research training and 37.2% (32 out of 86) had received only didactic coursework with the remaining 23.3% (20 out of 86) students having participated in hands-on clinical research training, that is, clinical research practicum and/or mentored clinical research. At the end of the last year of training (Medical School Year 4 (MS4)), 16.4% (11 out of 67) of students had received no clinical research training and 26.9% (18 out of 67) had received didactic coursework, with 56.7% (38 out of 67) participating in hands-on clinical research experiences. For the following analyses, the training method with the smallest number of respondents (n = 4) was excluded from the analysis due to the low sample size.

Table 2. Clinical research training methods experienced by MD–PhD students in the USA, 2018

CI, confidence interval; RP, mentored clinical research and clinical research practicum; DR, didactics and mentored clinical research; DP, didactics and clinical research practicum; DRP, didactics, mentored clinical research, and clinical research practicum. The clinical research training methods MD–PhD students in all years of training have experienced, 2018.

Effect of Clinical Research Training Methods on Self-Efficacy for Clinical Research

Self-efficacy for clinical research was assessed using the CRAI (scale 1–10; 1, no confidence; 10, total confidence, Supplementary material Appendix S1). Self-efficacy scores for six domains of clinical research skills are shown in Table 3. The mean values for different clinical research training methods are compared in Fig. 1. Students engaged in didactics, mentored clinical research, plus a clinical research practicum had the highest overall average scores among all six domains. Similar scores were observed between students engaged in didactics plus mentored clinical research versus didactics plus a clinical research practicum. Similarly, a large overlap was seen in students who only engaged in mentored clinical research and those who received didactics alone. All groups who received any clinical research training had higher self-efficacy scores compared to students with no training. Tukey’s multiple comparisons of means tests were used to identify differences between clinical research training methods (Table 4). Mean scores were significantly higher for most single or combination clinical research training methods compared to no training. No significant differences were observed for didactics alone versus mentored clinical research alone. No significant differences were observed for didactics plus clinical research practicum versus didactics plus mentored clinical research.

Table 3. Self-efficacy scores for clinical research training methods experienced by MD–PhD students in the USA, 2018

SD, standard deviation; CI, confidence interval.

Self-efficacy scores of participating MD–PhD students in all years of training. The score range is 1–10; higher scores indicate greater self-efficacy.

Note: The figure shows differences in self-efficacy scores among different clinical research training methods among 500 MD–PhD students in the USA, 2018. The score range is 1–10; 1, no confidence; 10, total confidence.

Fig. 1. Self-efficacy scores for clinical research training methods experienced by MD–PhD students.

Table 4. Comparisons of reported self-efficacy among clinical research training methods

N, none; D, didactics; R, mentored clinical research; DR, didactics plus mentored clinical research; DP, didactics plus clinical research practicum; DRP, didactics plus mentored clinical research plus clinical research practicum; ns, not significant, *P < 0.05, **P < 0.001.

Clinical Research Self-Efficacy Increases During MD–PhD Training

Next, self-efficacy was assessed as students progress through the MD–PhD program. When comparing the first-year medical students (MS1 – first year of program) with the fourth-year medical students (MS4 – last year of program), self-efficacy for clinical research skills increased by an average of 1.75 in all domains of the CRAI, with the smallest increase being in the Designing and Collecting (0.96) and the largest being in Funding (3.16) (Fig. 2). All measures peaked in the last year of medical school except for two, (1) Funding and (2) Designing and Collecting, which both peaked during the graduate school phase of the program.

Note: Abbreviations as in Table 1. Data derived MD–PhD students in all years of training. The score range is 1–10; higher scores indicate greater self-efficacy. Data points represent means. Error bars indicate 95% confidence intervals.

Fig. 2. Self-efficacy progression for clinical research through MD–PhD training.

Clinical Research Tasks Positively Associated with Clinical Research Self-Efficacy

In an effort to assess how mentored clinical research and a clinical research practicum may have impacted self-efficacy, students who experienced either or both of these training methods were asked to identify which clinical research tasks they had completed during training (data collection, data analysis, publication, IRB submission, IRB approval, or subject recruitment). When students with and without mentored clinical research were compared, data analysis was the only clinical research skill for which a significantly higher percentage of students had experienced due to mentored clinical research (P = 0.001; 166 out of 224 [74.1%] vs. 9 out of 22 [40.9%]), Fig. 3a). When students with and without a clinical research practicum were compared, a significantly higher proportion of students with the practicum had completed an IRB submission (P < 0.01; 44 out of 70 [62.9%] vs. 69 out of 176 [39.2%]), had an IRB approval (P = 0.03; 38 out of 70 [54.3%] vs. 68 out of 176 [38.6%]), and helped recruit participants to studies (P < 0.01; 34 out of 70 [48.6%] vs. 48 out of 176 [27.3%]) (Fig. 3b).

Note: Abbreviations: R, mentored clinical research; DR, didactics plus mentored clinical research; DP, didactics plus clinical research practicum; DPR, didactics plus clinical research practicum plus mentored clinical research. The figure shows differences in clinical research tasks completed by 190 MD–PhD Students in the USA in 2018 in (a) No mentored clinical research (DP) versus with mentored clinical research (R, DR, DPR) or (b) No practicum (R, DR) versus with Practicum (DP, DPR). (c) Clinical research self-efficacy for 48 MD–PhD students who reported no experience with IRB submission, IRB approval, or subject recruitment, three research tasks most closely associated with direct human subject interaction (No IRB or Subject Recruitment) versus 48 MD–PhD students who reported experience with all three research tasks associated with direct human subject interaction and training (With IRB and Subject Recruitment). *P < 0.05, **P < 0.005, ****P < 0.0001.

Fig. 3. Clinical research tasks completed during mentored clinical research and/or clinical research practicum experiences.

These results reveal some differences between the research tasks that are commonly performed during mentored clinical research and clinical research practica. Tasks that are more likely to involve human subjects interaction and training (IRB submission, IRB approval, and subject recruitment) appear to be more common with clinical research practica. The next question is whether these research tasks may have an impact on clinical research self-efficacy. As shown in Fig. 3c, experience with all three research tasks that are most associated with direct human subject interaction and training (IRB submission, IRB approved, subject recruitment) is associated with significantly higher clinical research self-efficacy scores than experience with any combination of research tasks that do not necessarily involve human subject interaction and training (data collection, data analysis, publication).

Discussion

A critical question about the training of physician-scientists is whether it is important to expose MD–PhD students to clinical research during or after their MD–PhD training. During the survey period, some MD–PhD directors questioned the utility of these approaches, whereas others asked for additional information or shared their clinical research training curricula. However, the MD–PhD Program Outcomes Study concluded that “… the current number of MD–PhD program graduates per year will not meet expected workforce needs… As a result, other approaches to training physician-scientists have been and will continue to be required…” [Reference Akabas, Tartakovsky and Brass22]. Because various clinical research training approaches for MD–PhD students exist, we believe there is equipoise on the topic to warrant further investigation as to whether higher self-efficacy at this early stage of training predicts participation in clinical research after completion of postgraduate training.

MD–PhD students are expected to be the future translators of basic science discoveries to advances in patient care, yet, at the end of their training, 43.3% (29 out of 67) of surveyed students reported having no hands-on clinical research training (Supplementary material Appendix S2). This included 26.9% (18 out of 67) with didactic training only and 16.4% (11 out of 67) with no clinical research training at all. Although some clinical research training occurs during postgraduate residency and fellowship training, this is also a period with limited protected research time and demanding clinical obligations with relatively fixed training requirements to achieve competency in foundational clinical disciplines irrespective of the career trajectory of the trainee [Reference Woods17,Reference Woods, Brooks and Norman18]. Early clinical research interventions during the more flexible MD–PhD training build foundational knowledge in a protected and supervised environment for students to learn and obtain experience, even before residency training, connecting the two realms of their future: advancing clinical knowledge through relevant research inquiry.

Ng et al. argued that successful integrated training for physician-scientists requires development of at least three traits: cognitive synergy, sense of self, and professional capacity [Reference Ng23]. Clinical research practica and mentored clinical research synergize and function to integrate the clinical and research realms, enabling students to ask clinically relevant questions to be answered by sound research planning. These hands-on clinical research experiences may also facilitate development of a unique sense of self as a physician-scientist by placing students in a role as leaders of an interdisciplinary team. Participating in hands-on clinical research early in training may serve to motivate students and instill many of the aptitudes necessary of physician-scientists to develop into professional clinical researchers. Furthermore, these experiences are aligned with the program objective of the National Institutes of Health T32 Medical Scientist Training Program to encourage “…changes in integrated medical and graduate training that keep pace with the rapid evolution of a research environment that is increasingly complex, interdisciplinary, quantitative, and collaborative” [1].

Formal MD–PhD curricula require careful planning and institutional commitment. Clinical practicum requirements and length vary by program. Although some programs that offer a practicum require students to observe mentors going through the motions of clinical research, others actively require students to write an IRB protocol and attend IRB meetings, participate in clinical research team meetings, work with a research coordinator, collaborate with a biostatistician, participate in the recruitment and consent of study subjects, and shadow physicians enrolling study participants [Reference Stacpoole24]. Additionally, the length of a clinical research practicum varies by program. Based on a review of MD–PhD websites, some programs use clinical research practica as a longitudinal study throughout multiple years of MD–PhD training, starting the first year of medical school and often continuing through the graduate school years. Others offer clinical research practica as mandatory or elective training during the traditionally clinical fourth year of medical study, which may be open to all medical students as a way to increase physician-scientist numbers.

Many combined degree programs have proposed alternatives to improve the success rate of training physician-scientists with a clinical/translational science focus [Reference Cornfield25Reference Escobar-Alvarez and Myers27]. Our findings reveal that both mentored clinical research and clinical research practica improve self-efficacy for clinical research skills, which in turn may support retention of physician-scientists in research careers involving clinical studies. A formalized clinical research practicum may also be especially helpful for MD–PhD students conducting basic science research. Such students may gain clinical research experience and foster translation of their research to the clinical setting because those participating in a clinical research practicum have greater experience with the planning and recruitment stages of the clinical research process (Fig. 3b). In addition, these training methods may also apply to MD-only graduates during postdoctoral residency or fellowship training in order to increase physician-scientist numbers.

One of the challenges faced in training a future physician-scientist workforce is the relatively high attrition rate within MD–PhD programs. As pointed out by Jeffe et al., approximately 27% of incoming MD–PhD students either graduate with an MD degree only or no degree [Reference Jeffe28]. This, compounded with the rigors of MD–PhD programs, may lead some trainees to forgo careers involving clinical research. Here, we have shown that exposure of trainees to clinical research training experiences is correlated with significantly greater self-efficacy for clinical research skills that will hopefully translate to increased engagement and retention of physician-scientists in clinical research. Such training may decrease the attrition rate among MD–PhD students by offering enhanced clinical relevance to the research career of a physician-scientist. These findings may also inform the design of training programs for other learners in the pipeline for the clinical and translational research workforce, such as PhD students, professional and dual degree students, and postdoctoral fellows in CTSA TL1 training programs, and early-stage investigators in CTSA KL2 training programs.

Limitations of this Study

This is the first study to assess the state of clinical research training among all US MD–PhD training programs. Limitations of this study include the use of self-efficacy as a predictor of later involvement clinical research. Although a plethora of studies support self-efficacy theory, and the way it is used in this study, other studies question the theory, suggesting that more work needs to be done in the field. Although some studies show that confidence may not directly equate to performance and interest, in this context, it can be used to indicate the exposure a student has had to clinical research during the tenure of their MD–PhD training.

A major limitation of this study is the low response rate. Although 17.9% of students agreed to the informed consent, 13.8% completed the whole survey. Few programs have experiential learning programs, limiting the possible number of respondents with this training. Additionally, these data are from only 1 year of study, and data received from MD–PhD students in other institutions and years may differ. Further research should be directed at follow-up of graduates’ career focus based on clinical research educational experiences and examine subsequent years of MD–PhD students to assess whether there are changes in choice of career paths over time in cohorts of MD–PhD students. In this study, name and contact information were not collected in order to preserve anonymity, so it will not be possible to correlate findings with career outcomes. Because these data are self-reported, they may be subject to social desirability bias.

The definition of clinical research used in this study can be interpreted to include MD–PhD students with no research subject interaction and training (e.g., analysis of human samples only), with research subject interaction (recruitment, enrollment, and consent), or both. Interestingly, research tasks during training that do not necessarily involve direct human interaction and training (data collection, data analysis, publication) do not appear to improve clinical research self-efficacy as well as tasks that most likely involve direct human interaction and training (IRB submission, IRB approval, subject recruitment) (Fig. 3c), suggesting that human subjects-oriented research tasks and training may be a critical elements for effective clinical research training.

Conclusions

Health care needs physician-scientists who can apply both foundational biomedical knowledge and clinical research skills to advance the practice of medicine. MD–PhD students with more diverse clinical research training experiences had increased self-efficacy in various clinical research domains. MD–PhD students who are not pursuing clinical research for their doctoral research may attain a similarly high level of clinical research self-efficacy when they participate in a clinical research practicum experience.

Acknowledgements

The authors wish to thank Dr. Thomas Pearson, MD, MPH, PhD for review of the manuscript. Research reported in this publication was supported by the National Center for Advancing Translational Sciences of the National Institutes of Health under University of Florida Clinical and Translational Science Awards TL1TR001428 and UL1TR001427. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

Disclosures

The authors have no conflicts of interest to declare.

Supplementary Material

To view supplementary material for this article, please visit https://doi.org/10.1017/cts.2019.419

References

National Institute of General Medical Sciences. PAR-19-036: Medical scientist training program (T32) [Internet]. Retrieved from: https://grants.nih.gov/grants/guide/pa-files/par-19-036.html. Accessed December 4, 2018.Google Scholar
Bensken, WP, et al. Future directions of training physician-scientists: reimagining and remeasuring the workforce. Academic Medicine [Internet] 2019; 94(5): 659663. Retrieved from: http://www.ncbi.nlm.nih.gov/pubmed/30640263 CrossRefGoogle ScholarPubMed
Ginsburg, D, et al. Physician-scientist workforce working group report [Internet]. 2014. Retrieved from: https://acd.od.nih.gov/documents/reports/PSW_Report_ACD_06042014.pdf. Accessed June 26, 2019.Google Scholar
English, RA, Lebovitz, Y, Griffin, RB. Transforming Clinical Research in the United States, National Academies Press. Washington, DC, USA: National Academies Press, 2010. 17p.Google Scholar
Dilts, DM, et al. Development of clinical trials in a cooperative group setting: the eastern cooperative oncology group. Clinical Cancer Research [Internet] 2008; 14(11): 34273433. Retrieved from: http://www.ncbi.nlm.nih.gov/pubmed/18519773 CrossRefGoogle Scholar
Scoglio, D, Fichera, A. Establishing a successful clinical research program. Clinics in Colon and Rectal Surgery [Internet] 2014; 27(2): 6570. Retrieved from: http://www.ncbi.nlm.nih.gov/pubmed/25067920 CrossRefGoogle ScholarPubMed
Mullikin, EA, Bakken, LL, Betz, NE. Assessing research self-efficacy in physician-scientists: The clinical research appraisal inventory. Journal of Career Assessment 2007; 15(3): 367387.CrossRefGoogle Scholar
Bandura, A. Self-efficacy: toward a unifying theory of behavioral change. Psychological Review 1977; 84: 191215.CrossRefGoogle Scholar
Lent, RW, Brown, SD, Hackett, G. Toward a unifying social cognitive theory of career and academic interest, choice, and performance. Journal of Vocational Behavior 1994; 45: 79122.CrossRefGoogle Scholar
Phillips, JC, Russell, RK. Research self-efficacy, the research training environment, and research productivity among graduate students in counseling psychology. The Counseling Psychologist [Internet]. 1994; 22(4): 628641. doi:10.1177/0011000094224008 CrossRefGoogle Scholar
Bishop, RM, Bieschke, KJ. Applying social cognitive theory to interest in research among counseling psychology doctoral students: a path analysis. Journal of Counseling Psychology [Internet] 1998; 45(2): 182188. doi:10.1037/0022-0167.45.2.182 CrossRefGoogle Scholar
Stajkovic, AD, Luthans, F. Self-efficacy and work-related performance: a meta-analysis. Psychological Bulletin [Internet] 1998; 124(2): 240261. doi:10.1037/0033-2909.124.2.240 CrossRefGoogle Scholar
Stone, DN. Overconfidence in initial self-efficacy judgments: effects on decision processes and performance. Organizational Behavior and Human Decision Processes [Internet] 1994; 59(3): 452474. Retrieved from: https://www.sciencedirect.com/science/article/pii/S0749597884710697 CrossRefGoogle Scholar
Vancouver, JB, et al. Two studies examining the negative effect of self-efficacy on performance. Journal of Applied Psychology [Internet] 2002; 87(3): 506516. doi:10.1037/0021-9010.87.3.506 CrossRefGoogle ScholarPubMed
Kulasegaram, KM, et al. Cognition before curriculum. Academic Medicine [Internet] 2013; 88(10): 15781585. Retrieved from: http://content.wkhealth.com/linkback/openurl?sid=WKPTLP:landingpage&an=00001888-201310000-00042 CrossRefGoogle ScholarPubMed
Baghdady, MT, et al. Integration of basic sciences and clinical sciences in oral radiology education for dental students [Internet]. Journal of Dental Education 2013; 757. Retrieved from: http://www.jdentaled.org/content/jde/77/6/757.full.pdf Google Scholar
Woods, NN. Science is fundamental: the role of biomedical knowledge in clinical reasoning. Medical Education [Internet]. 2007; 41(12): 11731177. doi:10.1111/j.1365-2923.2007.02911.x CrossRefGoogle ScholarPubMed
Woods, NN, Brooks, LR, Norman, GR. The role of biomedical knowledge in diagnosis of difficult clinical cases. Advances in Health Sciences Education [Internet] 2007; 12(4): 417426. doi:10.1007/s10459-006-9054-y CrossRefGoogle ScholarPubMed
Robinson, GFWB, et al. A shortened version of the clinical research appraisal inventory: CRAI-12. Academic Medicine 2013; 88(9): 13401345.CrossRefGoogle ScholarPubMed
Association of American Medical Colleges. MD-PhD Degree Programs by State [Internet].Retrieved from: https://students-residents.aamc.org/applying-medical-school/article/mdphd-degree-programs-state/. Accessed March 5, 2018.Google Scholar
Association of American Medical Colleges. Total MD-PhD Enrollment by U.S. Medical School and Sex, 2013–2014 through 2017–2018 [Internet].Retrieved from: https://www.aamc.org/download/321554/data/factstableb11-2.pdf. Accessed September 17, 2018.Google Scholar
Akabas, MH, Tartakovsky, I, Brass, LF. National MD-PhD Program Outcomes Study [Internet]. 2018. Retrieved from: https://www.aamc.org/download/489886/data/nationalmd-phdprogramoutcomesstudy.pdf. Accessed August 16, 2019.Google Scholar
Ng, E, et al. The integration of clinical and research training. Academic Medicine [Internet]. 2018; 1. Retrieved from: http://insights.ovid.com/crossref?an=00001888-900000000-97803 Google Scholar
Stacpoole, PW, et al. Teaching hypothesis-oriented thinking to medical students: the University of Florida’s clinical investigation program. Academic Medicine 2001; 76(3): 287292.CrossRefGoogle ScholarPubMed
Cornfield, DN, et al. Patching the pipeline: creation and retention of the next generation of physician–scientists for child health research. The Journal of Pediatrics [Internet] 2014; 165(5): 882884.e1. Retrieved from: https://www.sciencedirect.com/science/article/pii/S0022347614006854?via%3Dihub CrossRefGoogle ScholarPubMed
Daniels, RJ. A generation at risk: young investigators and the future of the biomedical workforce. doi:10.1073/pnas.1418761112. Accessed September 17, 2018.CrossRefGoogle Scholar
Escobar-Alvarez, SN, Myers, ER. The doris duke clinical scientist development award. Academic Medicine [Internet] 2013; 88(11): 17401746. Retrieved from: http://insights.ovid.com/crossref?an=00001888-201311000-00044 CrossRefGoogle ScholarPubMed
Jeffe, DB, et al. Educational outcomes for students enrolled in MD–PhD programs at medical school matriculation, 1995–2000. Academic Medicine [Internet] 2014; 89(1): 8493. Retrieved from: http://content.wkhealth.com/linkback/openurl?sid=WKPTLP:landingpage&an=00001888-201401000-00028 CrossRefGoogle ScholarPubMed
Figure 0

Table 1. Demographics of MD–PhD respondents to a survey regarding clinical research training methods and self-efficacy in clinical research in the USA, 2018

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Table 2. Clinical research training methods experienced by MD–PhD students in the USA, 2018

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Table 3. Self-efficacy scores for clinical research training methods experienced by MD–PhD students in the USA, 2018

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Fig. 1. Self-efficacy scores for clinical research training methods experienced by MD–PhD students.

Note: The figure shows differences in self-efficacy scores among different clinical research training methods among 500 MD–PhD students in the USA, 2018. The score range is 1–10; 1, no confidence; 10, total confidence.
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Table 4. Comparisons of reported self-efficacy among clinical research training methods

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Fig. 2. Self-efficacy progression for clinical research through MD–PhD training.

Note: Abbreviations as in Table 1. Data derived MD–PhD students in all years of training. The score range is 1–10; higher scores indicate greater self-efficacy. Data points represent means. Error bars indicate 95% confidence intervals.
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Fig. 3. Clinical research tasks completed during mentored clinical research and/or clinical research practicum experiences.

Note: Abbreviations: R, mentored clinical research; DR, didactics plus mentored clinical research; DP, didactics plus clinical research practicum; DPR, didactics plus clinical research practicum plus mentored clinical research. The figure shows differences in clinical research tasks completed by 190 MD–PhD Students in the USA in 2018 in (a) No mentored clinical research (DP) versus with mentored clinical research (R, DR, DPR) or (b) No practicum (R, DR) versus with Practicum (DP, DPR). (c) Clinical research self-efficacy for 48 MD–PhD students who reported no experience with IRB submission, IRB approval, or subject recruitment, three research tasks most closely associated with direct human subject interaction (No IRB or Subject Recruitment) versus 48 MD–PhD students who reported experience with all three research tasks associated with direct human subject interaction and training (With IRB and Subject Recruitment). *P P P
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