Becoming a deliberately developmental organization: Using competency based assessment data for organizational development.

Medical education is situated within health care and educational organizations that frequently lag in their use of data to learn, develop, and improve performance. How might we leverage competency-based medical education (CBME) assessment data at the individual, program, and system levels, with the goal of redefining CBME from an initiative that supports the development of physicians to one that also fosters the development of the faculty, administrators, and programs within our organizations? In this paper we review the Deliberately Developmental Organization (DDO) framework proposed by Robert Kegan and Lisa Lahey, a theoretical framework that explains how organizations can foster the development of their people. We then describe the DDO's conceptual alignment with CBME and outline how CBME assessment data could be used to spur the transformation of health care and educational organizations into digitally integrated DDOs. A DDO-oriented use of CBME assessment data will require intentional investment into both the digitalization of assessment data and the development of the people within our organizations. By reframing CBME in this light, we hope that educational and health care leaders will see their investments in CBME as an opportunity to spur the evolution of a developmental culture.

Curricular needs for training telemedicine physicians: A scoping review.

PURPOSE: The use of telemedicine, a part of 'Virtual Care', is rapidly entering mainstream clinical practice. The ideal curriculum for educating physicians to practice in this emerging field has not been established. We examined the literature to evaluate published curricula for quality and comprehensiveness through the lens of Competency-Based Medical Education (CBME). METHODS: We performed a scoping review using CanMEDS as a framework. Peer-reviewed articles describing telemedicine training curricula were identified. Trainee population, curricular points, stage of implementation, evaluation depth, country, and citations (a marker of quality) were examined. RESULTS: Forty-three curricula from 11 countries were identified, addressing all training levels and covering multiple specialties. Instructional methods included lectures (60.5%), hands-on experiences (76%), directed reading (24%), online modules (21%), reflection (13%), simulation (34%), and group discussions (16%). Hands-on curricula covered all CanMEDS roles more often. Twenty-nine of the implemented curricula were evaluated; 83% were rated positively. CONCLUSIONS: Our scoping review helps inform more comprehensive and efficacious curricula for teaching telemedicine. We suggest centering curricula on a competency-based, outcomes-oriented framework such as CanMEDS with multiple teaching modalities complementing hands-on experiences. This will facilitate rigorous telemedicine training to deliver on the promise of high-quality patient care.

Microwave Processing: Current Background and Effects on the Physicochemical and Microbiological Aspects of Dairy Products.

Overheating is still a major problem in the use of conventional heating for milk and various dairy products, because it leads to the lowering of quality and sensory and nutritional values. Microwave (MW) heating has been credited with providing superior-quality dairy-based products with extended shelf-life, representing a good alternative to conventional heat treatment. The main drawback of MW heating refers to nonuniform temperature distribution, resulting in hot and cold spots mainly in solid and semisolid products; however, MW heating has been shown to be suitable for liquid foods, especially in a continuous fluid system. This review aims to describe the main factors and parameters necessary for the application of MW heating technology for dairy processing, considering the theoretical fundamentals and its effects on quality and safety aspects of milk and dairy products. MW heating has demonstrated great ability for the destruction of pathogenic/spoilage microorganisms and their spores, and also inactivation of enzymes, thereby preserving fresh characteristics of dairy products.

Monitoring and regulation of learning in medical education: the need for predictive cues.

CONTEXT: Being able to accurately monitor learning activities is a key element in self-regulated learning in all settings, including medical schools. Yet students' ability to monitor their progress is often limited, leading to inefficient use of study time. Interventions that improve the accuracy of students' monitoring can optimise self-regulated learning, leading to higher achievement. This paper reviews findings from cognitive psychology and explores potential applications in medical education, as well as areas for future research. COGNITIVE PSYCHOLOGY: Effective monitoring depends on students' ability to generate information ('cues') that accurately reflects their knowledge and skills. The ability of these 'cues' to predict achievement is referred to as 'cue diagnosticity'. Interventions that improve the ability of students to elicit predictive cues typically fall into two categories: (i) self-generation of cues and (ii) generation of cues that is delayed after self-study. Providing feedback and support is useful when cues are predictive but may be too complex to be readily used. APPLICATION TO MEDICAL EDUCATION: Limited evidence exists about interventions to improve the accuracy of self-monitoring among medical students or trainees. Developing interventions that foster use of predictive cues can enhance the accuracy of self-monitoring, thereby improving self-study and clinical reasoning. First, insight should be gained into the characteristics of predictive cues used by medical students and trainees. Next, predictive cue prompts should be designed and tested to improve monitoring and regulation of learning. Finally, the use of predictive cues should be explored in relation to teaching and learning clinical reasoning. CONCLUSIONS: Improving self-regulated learning is important to help medical students and trainees efficiently acquire knowledge and skills necessary for clinical practice. Interventions that help students generate and use predictive cues hold the promise of improved self-regulated learning and achievement. This framework is applicable to learning in several areas, including the development of clinical reasoning.

Online self-study of chest X-rays shows no difference between blocked and mixed practice.

CONTEXT: Chest radiograph interpretation is a complex skill and learners may benefit from deliberate instructional design modalities, such as mixed practice. Proposed benefits of mixed over blocked practice include the elimination of cueing and the highlighting of contrasting features. However, current evidence for the superiority of mixed practice is conflicting. OBJECTIVES: This study compares mixed versus blocked practice, after the initial teaching of concepts, among medical students using online self-study chest X-ray (CXR) modules. METHODS: Two online CXR modules were developed that cover identical content but differ in the organisation of practice images. Blocked modules provided practice CXRs after each category, whereas mixed modules randomly ordered practice radiographs after all categories had been taught. Medical students in Years 1-3 were randomised to either module and were tested on 20 new CXRs immediately after completion and at 2 weeks. The primary outcome was immediate diagnostic accuracy. Secondary outcomes included diagnostic accuracy at 2 weeks, time per module and reported module difficulty. RESULTS: A total of 58 medical students participated (32 in the blocked and 26 in the mixed module). Level of training and previous CXR experience were similar across the groups. Totals of 1160 and 1120 answers were evaluated for immediate and 2 week post-test scores, respectively. There were no significant differences in mean diagnostic accuracy between the blocked (mean score: 11.7/20) and mixed (mean score: 11.0/20) practice groups on immediate testing (t = 0.83, d.f. = 56, p = 0.41) or at 2 weeks (mean score: 11.2/20 versus 10.9/20; t = 0.518, d.f. = 54, p = 0.61). Post-test scores showed no correlation with training level (R = 0.23, p = 0.09) or completion time (R = -0.09, p = 0.5). Reported module difficulty was similar between the mixed (3.22/5) and blocked (3.19/5) groups. On multivariable linear regression controlling for completion time, training level and CXR experience, between-group differences remained non-significant. CONCLUSIONS: Performance after mixed practice was similar to that after blocked practice. Results may reflect similarities between modules in teaching, which emphasised contrast learning, greater effect of initial teaching rather than practice, or absence of tutor-led instruction. Alternatively, results may reflect the higher cognitive load in mixed practice imposed by contrasting multiple diagnoses.

Manufacture of probiotic Minas Frescal cheese with Lactobacillus casei Zhang.

In this study, the addition of Lactobacillus casei Zhang in the manufacture of Minas Frescal cheese was investigated. Minas Frescal cheeses supplemented with probiotic bacteria (Lactobacillus casei Zhang) were produced by enzymatic coagulation and direct acidification and were subjected to physicochemical (pH, proteolysis, lactic acid, and acetic acid), microbiological (probiotic and lactic bacteria counts), and rheological analyses (uniaxial compression and creep test), instrumental color determination (luminosity, yellow intensity, and red intensity) and sensory acceptance test. The addition of L. casei Zhang resulted in low pH values and high proteolysis indexes during storage (from 5.38 to 4.94 and 0.470 to 0.702, respectively). Additionally, the cheese protocol was not a hurdle for growth of L. casei Zhang, as the population reached 8.16 and 9.02 log cfu/g by means of the direct acidification and enzymatic coagulation protocol, respectively, after 21 d of refrigerated storage. The rheology data showed that all samples presented a more viscous-like behavior, which rigidity tended to decrease during storage and lower luminosity values were also observed. Increased consumer acceptance was observed for the control sample produced by direct acidification (7.8), whereas the cheeses containing L. casei Zhang presented lower values for all sensory attributes, especially flavor and overall liking (5.37 and 4.61 for enzymatic coagulation and 5.57 and 4.72 for direct acidification, respectively). Overall, the addition of L. casei Zhang led to changes in all parameters and affected negatively the sensory acceptance. The optimization of L. casei Zhang dosage during the manufacturing of probiotic Minas Frescal cheese should be performed.

Limitations of subjective cognitive load measures in simulation-based procedural training.

CONTEXT: The effective implementation of cognitive load theory (CLT) to optimise the instructional design of simulation-based training requires sensitive and reliable measures of cognitive load. This mixed-methods study assessed relationships between commonly used measures of total cognitive load and the extent to which these measures reflected participants' experiences of cognitive load in simulation-based procedural skills training. METHODS: Two groups of medical residents (n = 38) completed three questionnaires after participating in simulation-based procedural skills training sessions: the Paas Cognitive Load Scale; the NASA Task Load Index (TLX), and a cognitive load component (CLC) questionnaire we developed to assess total cognitive load as the sum of intrinsic load (how complex the task is), extraneous load (how the task is presented) and germane load (how the learner processes the task for learning). We calculated Pearson's correlation coefficients to assess agreement among these instruments. Group interviews explored residents' perceptions about how the simulation sessions contributed to their total cognitive load. Interviews were audio-recorded, transcribed and subjected to qualitative content analysis. RESULTS: Total cognitive load scores differed significantly according to the instrument used to assess them. In particular, there was poor agreement between the Paas Scale and the TLX. Quantitative and qualitative findings supported intrinsic cognitive load as synonymous with mental effort (Paas Scale), mental demand (TLX) and task difficulty and complexity (CLC questionnaire). Additional qualitative themes relating to extraneous and germane cognitive loads were not reflected in any of the questionnaires. CONCLUSIONS: The Paas Scale, TLX and CLC questionnaire appear to be interchangeable as measures of intrinsic cognitive load, but not of total cognitive load. A more complete understanding of the sources of extraneous and germane cognitive loads in simulation-based training contexts is necessary to determine how best to measure and assess their effects on learning and performance outcomes.

ECG rhythm analysis with expert and learner-generated schemas in novice learners.

Although instruction using expert-generated schemas is associated with higher diagnostic performance, implementation is resource intensive. Learner-generated schemas are an alternative, but may be limited by increases in cognitive load. We compared expert- and learner-generated schemas for learning ECG rhythm interpretation on diagnostic accuracy, cognitive load and knowledge acquisition. Fifty-seven medical students were randomized to two experiments. Experiment 1 (n = 29) compared use of traditional teaching frameworks to expert generated schemas. Participants randomly received either a traditional framework or an expert-generated schema to practice each of two content areas in a crossed design. Learning accuracy and cognitive load were measured during the training phase. Discriminating knowledge and diagnostic accuracy were tested immediately after the training phase and 1-2 weeks after. Using the same methodology, experiment 2 (n = 28) compared use of learner-generated versus expert-generated schemas. In experiment 1, learning from expert-generated schemas was associated with lower cognitive load (13 vs 16, p < 0.001), higher diagnostic accuracy on immediate testing (40 vs 29 %, p = 0.018), and higher discriminating knowledge (81 vs 71 %, p < 0.001). Both groups performed similarly on delayed testing (14 vs 8 %, p = 0.6). In experiment 2, use of learner-generated schemas reduced diagnostic accuracy during the training phase (55 vs 77 %, p < 0.001), with similar performance on the immediate (30 vs 33 %, p = 0.89) and delayed (7 vs 5 %, p = 0.79) testing phases.. Learner-generated schema generation was associated with increased cognitive load (17.1 vs 13.5, p < 0.001). When compared to traditional frameworks, use of an expert-generated schema improved learning of ECG rhythm interpretation. Participants generating their own schemas perform similarly to those using expert-generated schemas despite reporting higher cognitive load.