Does a measure of Medical Professional Identity Formation predict communication skills performance?

OBJECTIVE: To validate an approach to measuring professional identity formation (PIF), we explore if the Professional Identity Essay (PIE), a stage score measure of medical professional identity (PI), predicts clinical communication skills. METHODS: Students completed the PIE during medical school orientation and a 3-case Objective Structured Clinical Exam (OSCE) where standardized patients reliably assessed communication skills in 5 domains. Using mediation analyses, relationships between PIE stage scores and communication skills were explored. RESULTS: For the 351 (89%) consenting students, controlling for individual characteristics, there were increases in patient counseling (6.5%, p<0.01), information gathering (4.3%, p = 0.01), organization and management (4.1%, p = 0.02), patient assessment (3.6%, p = 0.04), and relationship development (3.5%, p = 0.03) skills for every half stage increase in PIE score. The communication skills of lower socio-economic status (SES) students are indirectly impacted by their slightly higher PIE stage scores. CONCLUSION: Higher PIE stage scores are associated with higher communication skills and lower SES. PRACTICE IMPLICATIONS: PIE predicts critical clinical skills and identifies how SES and other characteristics indirectly impact future clinical performance, providing validity evidence for using PIE as a tool in longitudinal formative academic coaching, program and curriculum evaluation, and research.

Professional Identity Formation in medical school: One measure reflects changes during pre-clerkship training.

This article was migrated. The article was marked as recommended. Professional Identity Formation (PIF), the process of internalizing a profession's core values and beliefs, is an explicit goal of medical education. The Professional Identity Essay (PIE), a developmental measure of the extent to which individuals have a complex and self-defined understanding of their professional role, is a tool to both study and scaffold PIF. PIE staging has internal reliability and response process validity and correlates with a validated measure of moral reasoning. In this study, we investigate whether PIF, as measured by PIE, changes during pre-clerkship training. Medical students in the class of 2019 completed the PIE during orientation to medical school (PIE#1) and 15 months later, during orientation to clerkships (PIE#2), to the same prompts. These written responses are PIF-staged by an expert rater. On average, PIF scores reveal that 46% of the group remained at the same stage as they were on entry to medical school, 42% scored at a higher stage of PIF, and 15% of students scored at a lower stage of PIF after pre-clerkship training. This result suggests that medical students are heterogeneous with respect to the development of their medical PIF early in medical school training.

Measuring professional identity formation early in medical school.

AIM: To assess the feasibility and utility of measuring baseline professional identity formation (PIF) in a theory-based professionalism curriculum for early medical students. METHODS: All 132 entering students completed the professional identity essay (PIE) and the defining issues test (DIT2). Students received score reports with individualized narrative feedback and wrote a structured reflection after a large-group session in which the PIF construct was reviewed. Analysis of PIEs resulted in assignment of a full or transitional PIF stage (1-5). The DIT2 score reflects the proportion of the time students used universal ethical principles to justify a response to 6 moral dilemma cases. Students' reflections were content analyzed. RESULTS: PIF scores were distributed across stage 2/3, stage 3, stage 3/4, and stage 4. No student scores were in stages 1, 2, 4/5, or 5. The mean DIT2 score was 53% (range 9.7?76.5%); the correlation between PIF stage and DIT score was ρ = 0.18 (p = 0.03). Students who took an analytic approach to the data and demonstrated both awareness that they are novices and anticipation of continued PIF tended to respond more positively to the feedback. CONCLUSIONS: These PIF scores distributed similarly to novice students in other professions. Developmental-theory based PIF and moral reasoning measures are related. Students reflected on these measures in meaningful ways suggesting utility of measuring PIF scores in medical education.

Twelve tips for improving the effectiveness of web-based multimedia instruction for clinical learners.

Using educational technology does not necessarily make medical education more effective. There are many different kinds of technology available to the contemporary medical teacher and what constitutes effective use may depend on the technology, the learning situation and many other factors. Web-based multimedia instruction (WBMI) provides learners with self-directed independent learning opportunities based on didactic material enhanced with multimedia features such as video and animations. WBMI may be used to replace other didactic events (e.g. lectures) or it may be provided in addition to other learning opportunities. Clinical educators looking to use WBMI need to make sure that it will meet both their learners' needs and the program's needs, and it has to align to the contexts in which it is used. The following 12 tips have been developed to help guide faculty through some of the key features of the effective use of WBMI in clinical teaching programs. These tips are based on more than a decade developing, using and appraising WBMI in support of surgical clerkship education across the USA and beyond and they are intended both to inform individual uses of WBMI in clinical training and to guide the strategic use of WBMI in clinical clerkship curricula.

The cognitive impact of interactive design features for learning complex materials in medical education.

To identify the most effective way for medical students to interact with a browser-based learning module on the symptoms and neurological underpinnings of stroke syndromes, this study manipulated the way in which subjects interacted with a graphical model of the brain and examined the impact of functional changes on learning outcomes. It was hypothesized that behavioral interactions that were behaviorally more engaging and which required deeper consideration of the model would result in heightened cognitive interaction and better learning than those whose manipulation required less deliberate behavioral and cognitive processing. One hundred forty four students were randomly assigned to four conditions whose model controls incorporated features that required different levels of behavioral and cognitive interaction: Movie (low behavioral/low cognitive, n = 40), Slider (high behavioral/low cognitive, n = 36), Click (low behavioral/high cognitive, n = 30), and Drag (high behavioral/high cognitive, n = 38). Analysis of Covariates (ANCOVA) showed that students who received the treatments associated with lower cognitive interactivity (Movie and Slider) performed better on a transfer task than those receiving the module associated with high cognitive interactivity (Click and Drag, partial eta squared = .03). In addition, the students in the high cognitive interactivity conditions spent significantly more time on the stroke locator activity than other conditions (partial eta squared = .36). The results suggest that interaction with controls that were tightly coupled with the model and whose manipulation required deliberate consideration of the model's features may have overtaxed subjects' cognitive resources. Cognitive effort that facilitated manipulation of content, though directed at the model, may have resulted in extraneous cognitive load, impeding subjects in recognizing the deeper, global relationships in the materials. Instructional designers must, therefore, keep in mind that the way in which functional affordances are integrated with the content can shape both behavioral and cognitive processing, and has significant cognitive load implications.

Assessing medical students' self-regulation as aptitude in computer-based learning.

We developed a Self-Regulation Measure for Computer-based learning (SRMC) tailored toward medical students, by modifying Zimmerman's Self-Regulated Learning Interview Schedule (SRLIS) for K-12 learners. The SRMC's reliability and validity were examined in 2 studies. In Study 1, 109 first-year medical students were asked to complete the SRMC. Bivariate correlation analysis results indicated that the SRMC scores had a moderate degree of correlation with student achievement in a teacher-developed test. In Study 2, 58 third-year clerkship students completed the SRMC. Regression analysis results indicated that the frequency of medical students' usage of self-regulation strategies was associated with their general clinical knowledge measured by a nationally standardized licensing exam. These two studies provided evidence for the reliability and concurrent validity of the SRMC to assess medical students' self-regulation as aptitude. Future work should provide evidence to guide and improve instructional design as well as inform educational policy.