Behaviour, barriers and facilitators of shared decision making in breast cancer surgical treatment: A qualitative systematic review using a 'Best Fit' framework approach.

BACKGROUND: Due to the diversity and high sensitivity of the treatment, there were difficulties and uncertainties in the breast cancer surgical decision-making process. We aimed to describe the patient's decision-making behaviour and shared decision-making (SDM)-related barriers and facilitators in breast cancer surgical treatment. METHODS: We searched eight databases for qualitative studies and mixed-method studies about breast cancer patients' surgical decision-making process from inception to March 2021. The quality of the studies was critically appraised by two researchers independently. We used a 'best fit framework approach' to analyze and synthesize the evidence. RESULTS: Twenty-eight qualitative studies and three mixed-method studies were included in this study. Four themes and 10 subthemes were extracted: (a) struggling with various considerations, (b) actual decision-making behaviours, (c) SDM not routinely implemented and (d) multiple facilitators and barriers to SDM. CONCLUSIONS: Patients had various considerations of breast surgery and SDM was not routinely implemented. There was a discrepancy between information exchange behaviours, value clarification, decision support utilization and SDM due to cognitive and behavioural biases. When individuals made surgical decisions, their behaviours were affected by individual-level and system-level factors. Therefore, healthcare providers and other stakeholders should constantly improve communication skills and collaboration, and emphasize the importance of decision support, so as to embed SDM into routine practice. PATIENT AND PUBLIC CONTRIBUTION: This systematic review was conducted as part of a wider research entitled: Breast cancer patients' actual participation roles in surgical decision making: a mixed method research. The results of this project helped us to better analyze and generalize patients' views.

Subchondral bone expansion in advanced knee osteoarthritis: Relation with radiographic severity and role in surgical decision-making.

Background: Joint space width (JSW) is a traditional imaging marker for knee osteoarthritis (OA) severity, but it lacks sensitivity in advanced cases. We propose tibial subchondral bone area (TSBA), a new CT imaging marker to explore its relationship with OA radiographic severity, and to test its performance for classifying surgical decisions between unicompartmental knee arthroplasty (UKA) and total knee arthroplasty (TKA) compared to JSW. Methods: We collected clinical, radiograph, and CT data from 182 patients who underwent primary knee arthroplasty (73 UKA, 109 TKA). The radiographic severity was scored using Kellgren-Lawrence (KL) grading system. TSBA and JSW were extracted from 3D CT-reconstruction model. We used independent t-test to investigate the relationship between TSBA and KL grade, and binary logistic regression to identify factors associated with TKA risk. The accuracy of TSBA, JSW and established classification model in differentiating between UKA and TKA was assessed using AUC. Results: All parameters exhibited inter- and intra-class coefficients greater than 0.966. Patients with KL grade 4 had significantly larger TSBA than those with KL grade 3. TSBA (0.708 of AUC) was superior to minimal/average JSW (0.547/0.554 of AUC) associated with the risk of receiving TKA. Medial TSBA, together with gender and Knee Society Knee Score, emerged as independent classification factors in multivariate analysis. The overall AUC of composite model for surgical decision-making was 0.822. Conclusion: Tibial subchondral bone area is an independent imaging marker for radiographic severity, and is superior to JSW for surgical decision-making between UKA and TKA in advanced OA patients.

Women's Perceptions and Knowledge Toward Episiotomy in Qassim Region, Saudi Arabia.

INTRODUCTION: Episiotomy, despite being one of the most common interventions during childbirth, carries significant risks and uncertain benefits. Previous global studies highlight varying awareness levels and practices, with decreasing episiotomy rates attributed to increased knowledge. This study aims to assess women's knowledge to enhance intrapartum decision-making and communication between patients and obstetricians, ultimately improving maternal outcomes in the region. METHODOLOGY:  The study was a cross-section design. It was conducted through an online survey that was distributed by different social media platforms (Twitter, WhatsApp, and Telegram) from February 2023 to January 2024. It included women living in the Qassim region, Saudi Arabia, who were 15 years old or older. Data was analyzed using the SPSS program (IBM, Chicago, Illinois, USA). RESULTS: Among the 402 participants, 62.7% demonstrated awareness of episiotomy, with 94.0% accurately identifying it as a surgical cutting with scissors. About 82.5% acknowledged that not all women require episiotomies, while 48.8% recognized the necessity of anesthesia before the procedure. Understanding the indications for episiotomy varied, with facilitating and accelerating childbirth (64.3%) and dealing with a large baby (62.3%) being the most recognized reasons. Impressively, 90.5% believed that there are methods to avoid perineal cutting, with knowing the correct mechanism for pushing during childbirth (69.4%) and exercise (54.4%) being the most acknowledged preventive measures. Regarding post-cutting care, antibiotics (61.5%) were identified as essential, followed by analgesia (52.8%) and laxatives (48.8%). CONCLUSION: The study reveals a notable awareness among participants, with a majority demonstrating a solid understanding of the procedure, its indications, and post-procedure care. It identified specific knowledge gaps, such as the need for anesthesia awareness and divergent beliefs about post-episiotomy care practices.

Aggregation operators on group-based generalized q-rung orthopair fuzzy N-soft sets and applications in solar panel evaluation.

Every problem in decision-making has a solution when the information that is available is properly and precisely modeled. This study focuses on non-binary data from N-soft sets and q-rung orthopair fuzzy values, referred to as group-based generalized q-rung orthopair fuzzy N-soft sets (GGq-ROFNSSs). The GGq-ROFNSSs model provides information simultaneously on numerous competing criteria, alternatives, sub-alternatives, and data summarization. We introduce properties of GGq-ROFNSSs such as distinct inclusion features of GGq-ROFNSSs, weak complements of the GGq-ROFNSS, top weak complements the GGq-ROFNSS, bottom weak complements the GGq-ROFNSS. We provide the notion of GGq-ROFNSWA and GGq-ROFNSWG operators as well as their idempotency, monotonicity, and boundedness features. The notion of GGq-ROFNSSs requires a sound methodology of multiple criteria decision making (MCDM) since GGq-ROFNSS combines numerous elements of complex decision-making. We provide a MCDM methodology for the GGq-ROFNSWA and GGq-ROFNSWG operators and depict it in a flowchart. The selection of solar panels for a city is a difficult procedure because it depends on several components such as environment, where the area is located, what kinds of needs are being met, etc. We find a solution to the problem of selecting a suitable solar panel for a city with their underlying characteristics. Finally, we provide a comparison of the suggested method with other techniques to demonstrate its advantages.

Using decision support tools for treatment decision making about antidepressants in outpatient psychiatric consultations.

OBJECTIVE: To examine the use of decision support tools in decision making about antidepressants during conversations between patients with major depressive disorder (MDD) and their psychiatrists. METHODS: Theme-oriented discourse analysis of two psychiatric consultation groups: control (n = 17) and intervention (n = 16). In the control group, only a doctor's conversation guide was used; in the intervention group, the conversation guide and a patient decision aid (PDA) were used. RESULTS: Psychiatrists mainly dominated conversations in both consultation groups. They were less likely to elicit patient treatment-related perspectives in the intervention group as they focused more on delivering the information than obtaining patient perspectives. However, using PDA in the intervention group slightly encouraged patients to participate in decisional talk. CONCLUSION: The decision support tools did promote SDM performance. Using the conversation guide in both consultation groups encouraged the elicitation of patient perspectives, which helped the psychiatrists in tailoring their recommendations of options based on patient preferences and concerns. Using the PDA in the intervention group created space for treatment discussion and fostered active collaboration in treatment decision making. PRACTICE IMPLICATIONS: Our findings have implications for SDM communication skills training and critical reflection on SDM practice.

"To prescribe or not to prescribe, that is the question": Perspectives on opioid prescribing for chronic, cancer-related pain from clinicians who treat pain in survivorship.

BACKGROUND: Opioid pain management in cancer survivorship is a complex and understudied topic. METHODS: The authors conducted in-depth, qualitative interviews to understand clinician approaches to opioid pain management in chronic cancer pain and to generate ideas for improvement. They used a rigorous, inductive, qualitative, descriptive approach to examine clinician (n = 20) perspectives about opioid pain management in survivorship, including oncologists (n = 5), palliative care clinicians (n = 8), primary care clinicians (n = 5), and pain management specialists (n = 2). RESULTS: The findings indicated that no consistent medical home exists for chronic pain management in cancer survivors and that there are fundamental differences in how each subspecialty approaches chronic pain management in survivorship (e.g., "Do we think of this as noncancer pain or cancer pain?… This is in this limbo zone-this gray zone-because it's cancer-related pain, right?"). Simultaneously, clinicians are influenced by their peers' perceptions of their opioid prescribing decisions, sparking intraprofessional tension when disagreement occurs. In these instances, clinicians described overthinking and doubting their clinical decision-making as well as a sense of judgment, pressure, and/or shame. Finally, clinicians acknowledged a fear of consequences for opioid prescribing decisions. Specifically, participants cited conflict with patients, sometimes escalating to aggression and threats of violence, as well as potential disciplinary actions and/or legal consequences. CONCLUSIONS: Participants suggested that opportunities to improve chronic cancer pain care include developing clear, systematic guidance for chronic cancer pain management, facilitating clinician communication and consultation, creating tailored survivorship care plans in partnership with patients, and developing accessible, evidence-based, complementary pain treatments.

Contextual bias in forensic toxicology decisions: A follow-up empirical study from China.

The impact of contextual bias has been demonstrated repeatedly across forensic domains; however, research on this topic in forensic toxicology is very limited. In our previous study, experimental data from only one context version were compared with the actual forensic biasing casework. As a follow-up, this controlled experiment with 159 forensic toxicology practitioners was conducted, to test whether knowledge of different contextual information influenced their forensic decision-making. Participants in different context groups were tasked to identify testing strategies for carbon monoxide and opiate drugs. The results of chi-squared tests for their selections and two context groups exhibited statistically significant differences (p < 0.05 or p < 0.01). These findings show contextual information can bias forensic toxicology decisions about testing strategies, despite it is a relatively objective domain in forensic science.

Assessment of the quality of online patient information resources for patients considering parastomal hernia treatment.

AIM: The aim was to examine the quality of online patient information resources for patients considering parastomal hernia treatment. METHODS: A Google search was conducted using lay search terms for patient facing sources on parastomal hernia. The quality of the content was assessed using the validated DISCERN instrument. Readability of written content was established using the Flesch-Kincaid score. Sources were also assessed against the essential content and process standards from the National Institute for Health and Care Excellence (NICE) framework for shared decision making support tools. Content analysis was also undertaken to explore what the sources covered and to identify any commonalities across the content. RESULTS: Fourteen sources were identified and assessed using the identified tools. The mean Flesch-Kincaid reading ease score was 43.61, suggesting that the information was difficult to read. The overall quality of the identified sources was low based on the pooled analysis of the DISCERN and Flesch-Kincaid scores, and when assessed against the criteria in the NICE standards framework for shared decision making tools. Content analysis identified eight categories encompassing 59 codes, which highlighted considerable variation between sources. CONCLUSIONS: The current information available to patients considering parastomal hernia treatment is of low quality and often does not contain enough information on treatment options for patients to be able to make an informed decision about the best treatment for them. There is a need for high-quality information, ideally co-produced with patients, to provide patients with the necessary information to allow them to make informed decisions about their treatment options when faced with a symptomatic parastomal hernia.

Behavior can be decoded across the cortex when individual differences are considered.

Group-level analyses have typically associated behavioral signatures with a constrained set of brain areas. Here we show that two behavioral metrics - reaction time (RT) and confidence - can be decoded across the cortex when each individual is considered separately. Subjects (N=50) completed a perceptual decision-making task with confidence. We built models decoding trial-level RT and confidence separately for each subject using the activation patterns in one brain area at a time after splitting the entire cortex into 200 regions of interest (ROIs). At the group level, we replicated previous results by showing that both RT and confidence could be decoded from a small number of ROIs (12.0% and 3.5%, respectively). Critically, at the level of the individual, both RT and confidence could be decoded from most brain regions even after Bonferroni correction (90.0% and 72.5%, respectively). Surprisingly, we observed that many brain regions exhibited opposite brain-behavior relationships across individuals, such that, for example, higher activations predicted fast RTs in some subjects but slow RTs in others. These results were further replicated in a second dataset. Lastly, we developed a simple test to determine the robustness of decoding performance, which showed that several hundred trials per subject are required for robust decoding. These results show that behavioral signatures can be decoded from a much broader range of cortical areas than previously recognized and suggest the need to study the brain-behavior relationship at both the group and the individual level.

Patient Characteristics and the Extent to Which Clinicians Involve Patients in Decision Making: Secondary Analyses of Pooled Data.

BACKGROUND: The occurrence of shared decision making (SDM) in daily practice remains limited. Various patient characteristics have been suggested to potentially influence the extent to which clinicians involve patients in SDM. OBJECTIVE: To assess associations between patient characteristics and the extent to which clinicians involve patients in SDM. METHODS: We conducted a secondary analysis of data pooled from 10 studies comparing the care of adult patients with (intervention) or without (control) a within-encounter SDM conversation tool. We included studies with audio(-visual) recordings of clinical encounters in which decisions about starting or reconsidering treatment were discussed. MAIN MEASURES: In the original studies, the Observing Patient Involvement in Decision Making 12-items (OPTION12 item) scale was used to code the extent to which clinicians involved patients in SDM in clinical encounters. We conducted multivariable analyses with patient characteristics (age, gender, race, education, marital status, number of daily medications, general health status, health literacy) as independent variables and OPTION12 as a dependent variable. RESULTS: We included data from 1,614 patients. The between-arm difference in OPTION12 scores was 7.7 of 100 points (P < 0.001). We found no association between any patient characteristics and the OPTION12 score except for education level (p = 0.030), an association that was very small (2.8 points between the least and most educated), contributed mostly by, and only significant in, control arms (6.5 points). Subanalyses of a stroke prevention trial showed a positive association between age and OPTION12 score (P = 0.033). CONCLUSIONS: Most characteristics showed no association with the extent to which clinicians involved patients in SDM. Without an SDM conversation tool, clinicians devoted more efforts to involve patients with higher education, a difference not observed when the tool was used. HIGHLIGHTS: Most sociodemographic patient characteristics show no association with the extent to which clinicians involve patients in shared decision making.Clinicians devoted less effort to involve patients with lower education, a difference that was not observed when a shared decision-making conversation tool was used.SDM conversation tools can be useful for clinicians to better involve patients and ensure patients get involved equally regardless of educational background.

Optimising HIV drug resistance testing laboratory networks in Kenya: insights from systems engineering modelling.

BACKGROUND: HIV drug resistance (DR) is a growing threat to the durability of current and future HIV treatment success. DR testing (DRT) technologies are very expensive and specialised, relying on centralised laboratories in most low and middle-income countries. Modelling for laboratory network with point-of-care (POC) DRT assays to minimise turnaround time (TAT), is urgently needed to meet the growing demand. METHODS: We developed a model with user-friendly interface using integer programming and queueing theory to improve the DRT system in Kisumu County, Kenya. We estimated DRT demand based on both current and idealised scenarios and evaluated a centralised laboratory-only network and an optimised POC DRT network. A one-way sensitivity analysis of key user inputs was conducted. RESULTS: In a centralised laboratory-only network, the mean TAT ranged from 8.52 to 8.55 working days, and the system could not handle a demand proportion exceeding 1.6%. In contrast, the mean TAT for POC DRT network ranged from 1.13 to 2.11 working days, with demand proportion up to 4.8%. Sensitivity analyses showed that expanding DRT hubs reduces mean TAT substantially while increasing the processing rate at national labs had minimal effect. For instance, doubling the current service rate at national labs reduced the mean TAT by only 0.0%-1.9% in various tested scenarios, whereas doubling the current service rate at DRT hubs reduced the mean TAT by 37.5%-49.8%. In addition, faster batching modes and transportation were important factors influencing the mean TAT. CONCLUSIONS: Our model offers decision-makers an informed framework for improving the DRT system using POC in Kenya. POC DRT networks substantially reduce mean TAT and can handle a higher demand proportion than a centralised laboratory-only network, especially for children and pregnant women living with HIV, where there is an immediate push to use DRT results for patient case management.

Evaluating Suicide Risk Stratification in Outpatient Settings: A Vignette-Based Approach.

Suicide risk assessment and stratification are a key suicide prevention strategy in mental health care systems that treat military service members and veterans. The aim of the current mixed-method project was to address a gap in our knowledge as to how therapists make these important clinical decisions. This manuscript reports the results of a project during which six vignettes were developed reflecting varying levels of risk according to the Rocky Mountain MIRECC Risk Stratification Table. Mental health therapists were asked to evaluate the risk level of each vignette, determine a treatment disposition, and provide justification for their ratings. The results of the study indicate that therapists can reliably evaluate risk, but that treatment planning tended to be based more on vignette-specific factors than essential features of the risk model. The qualitative findings revealed variations in the definition and perception of foundational concepts, suggesting a need for further research and training in these domains. Overall, the results support the use of vignettes as a method to assess clinical decision-making and provide several areas for further training and research.

The efficacy of the National Surgical Quality Improvement Program surgical risk calculator in head and neck surgery: A meta-analysis.

BACKGROUND: The National Surgical Quality Improvement Program surgical risk calculator (SRC) estimates the risk for postoperative complications. This meta-analysis assesses the efficacy of the SRC in the field of head and neck surgery. METHODS: A systematic review identified studies comparing the SRC's predictions to observed outcomes following head and neck surgeries. Predictive accuracy was assessed using receiver operating characteristic curves (AUCs) and Brier scoring. RESULTS: Nine studies totaling 1774 patients were included. The SRC underpredicted the risk of all outcomes (including any complication [observed (ob) = 35.9%, predicted (pr) = 21.8%] and serious complication [ob = 28.7%, pr = 17.0%]) except mortality (ob = 0.37%, pr = 1.55%). The observed length of stay was more than twice the predicted length (p < 0.02). Discrimination was acceptable for postoperative pneumonia (AUC = 0.778) and urinary tract infection (AUC = 0.782) only. Predictive accuracy was low for all outcomes (Brier scores ≥0.01) and comparable for patients with and without free-flap reconstructions. CONCLUSION: The SRC is an ineffective instrument for predicting outcomes in head and neck surgery.

Interventions to improve ethical decision-making skills in nursing students: A systematic review.

BACKGROUND: Interventions to improve ethical decision-making are available in nursing education. Evidence of its effectiveness is essential. OBJECTIVE: This review examined the effectiveness of interventions to improve nursing students' ethical decision-making skills. METHODS: A structured search was performed in Google Scholar, Web of Science, Science Direct, Pubmed, Scopus, Cochrane Library, Elsevier, CINAHL EBSCO, and ULAKBIM. The Joanna Briggs Institute Meta-Analysis of Statistics Assessment and Review Instruments (JBI-MAStARI) was used to assess the quality of studies. ETHICAL CONSIDERATIONS: Ethical approval was not required for this systematic review. FINDINGS: The final review was composed of six studies of published between January 2013 and 2023. Nine different teaching methods applied to students. Although the importance of ethical decision-making skills in solving ethical problems that nurses may encounter at any time is known, it is thought that there is a lack of data in the literature in the last 10 years. The last 10 years were chosen as this aims to provide a review based on the most current, relevant and quality information. The review indicated that all of the teaching methods improved ethical decision-making. CONCLUSION: Different teaching methods can be used in the nursing education curriculum to meet the learning needs of nursing students in ethical decision-making.

Patient and clinician priorities for information on treatment outcomes for advanced ovarian cancer: a Delphi exercise.

OBJECTIVE: Patients with advanced ovarian cancer face a range of treatment options, and there is unwarranted variation in treatment decision-making between UK providers. Decision support tools that produce data on treatment outcomes as a function of individual patient characteristics, would help both patients and clinicians to make informed, preference- and values-based choices. However, data on treatment outcomes to include in such tools are lacking. METHODS: Following a literature review, a questionnaire was designed for use in a Delphi process to establish which treatment outcomes are important to both patients and clinicians in decision-making for treatment for advanced ovarian cancer. Patient and clinician panels were established. RESULTS: Following 2 Delphi rounds, consensus was achieved for 7/11 items in the patient panel and 8/11 items in the clinician panel. Consensus across both panels was achieved for inclusion of both overall survival and progression free survival as important items in the decision-making process, although there remained differences of opinion as to whether these should be presented as relative or absolute values. CONCLUSION: Information needs for treatment decision-making in ovarian cancer differ between and within patient and clinician groups. Whilst overall survival and progression free survival are universally accepted as important data items, decision support tools will need to be nuanced to allow presentation of a range of outcomes and associated probabilities, and in a range of formats, that can be tailored to the preferences of clinician and patients.

Medical Care as Flea Market Bargaining? An International Interdisciplinary Study of Varieties of Shared Decision Making in Physician-Patient Interactions.

Phenomenon: Shared decision making (SDM) is a core ideal in the interaction between healthcare providers and patients, but the implementation of the SDM ideal in clinical routines has been a relatively slow process. Approach: In a sociological study, 71 interactions between physicians and simulated patients enacting chronic heart failure were video-recorded in China, Germany, the Netherlands, and Turkey as part of a quasi-experimental research design. Participating physicians varied in specialty and level of experience. The secondary analysis presented in this article used content analysis to study core components of SDM in all of the 71 interactions and a grounded theory approach to observe how physicians responded actively to patients even though they did not actively employ the SDM ideal. Findings: Full realization of the SDM ideal remains an exception, but various aspects of SDM in physician-patient interaction were observed in all four locations. Analyses of longer interactions show dynamic processes of interaction that sometimes surprised both patient and physician. We observed varieties of SDM that differ from the SDM ideal but arguably achieve what the SDM ideal is intended to achieve. Our analysis suggests a need to revisit the SDM ideal-to consider whether varieties of SDM may be acceptable, even valuable, in their own right. Insights: The gap between the SDM ideal and SDM as implemented in clinical practice may in part be explained by the tendency of medicine to define and teach SDM through a narrow lens of checklist evaluations. The authors support the argument that SDM defies a checklist approach. SDM is not uniform, but nuanced, dependent on circumstances and setting. As SDM is co-produced by patients and physicians in a dynamic process of interaction, medical researchers should consider and medical learners should be exposed to varieties of SDM-related practice rather than a single idealized model. Observing and discussing worked examples contributes to the physician's development of realistic expectations and personal professional growth.

Can large language models provide secondary reliable opinion on treatment options for dermatological diseases?

OBJECTIVE: To investigate the consistency and reliability of medication recommendations provided by ChatGPT for common dermatological conditions, highlighting the potential for ChatGPT to offer second opinions in patient treatment while also delineating possible limitations. MATERIALS AND METHODS: In this mixed-methods study, we used survey questions in April 2023 for drug recommendations generated by ChatGPT with data from secondary databases, that is, Taiwan's National Health Insurance Research Database and an US medical center database, and validated by dermatologists. The methodology included preprocessing queries, executing them multiple times, and evaluating ChatGPT responses against the databases and dermatologists. The ChatGPT-generated responses were analyzed statistically in a disease-drug matrix, considering disease-medication associations (Q-value) and expert evaluation. RESULTS: ChatGPT achieved a high 98.87% dermatologist approval rate for common dermatological medication recommendations. We evaluated its drug suggestions using the Q-value, showing that human expert validation agreement surpassed Q-value cutoff-based agreement. Varying cutoff values for disease-medication associations, a cutoff of 3 achieved 95.14% accurate prescriptions, 5 yielded 85.42%, and 10 resulted in 72.92%. While ChatGPT offered accurate drug advice, it occasionally included incorrect ATC codes, leading to issues like incorrect drug use and type, nonexistent codes, repeated errors, and incomplete medication codes. CONCLUSION: ChatGPT provides medication recommendations as a second opinion in dermatology treatment, but its reliability and comprehensiveness need refinement for greater accuracy. In the future, integrating a medical domain-specific knowledge base for training and ongoing optimization will enhance the precision of ChatGPT's results.

Foundational and Clinical Science Integration in a Team-Based Learning Module Modeling Care of a Patient With Dyslipidemia.

Introduction: Foundational and clinical science integration, a long-standing goal of undergraduate medical education, benefits learners by promoting retention of critical knowledge and skills as well as their transfer to the clinical setting. We implemented a team-based learning (TBL) module in which foundational knowledge and skills from the disciplines of biochemistry, nutrition, and genetics were leveraged in a simulated patient encounter for diagnosis and management of a patient with dyslipidemia. Methods: The TBL was deployed in a first-year medical student cardiovascular system course with 125 students over three academic years. Following individual and team readiness assurance tests (iRAT and tRAT, respectively), teams participated in an initial application exercise requiring consideration of clinical and laboratory data and other risk factors to engage the patient in a shared decision-making process. Using dietary and family history narratives in subsequent application exercises, teams completed recommendations for an individualized diet plan and an assessment of potential disease inheritance patterns to formulate appropriate patient care management strategies. Results: Student engagement with prelearning materials and session team activities was high as judged by RAT performance and application exercise outcomes: iRAT question performance ranged from 89% to 99% for individual items, and tRAT performance was routinely 100%. Learners reported that the exercises were impactful and believed the learned foundational knowledge and skills were transferable to future patient care. Discussion: The dyslipidemia TBL module provides an illustration for early clinical learners of how foundational knowledge and skills can be operationalized and transferred for optimal patient care.