Educational Podcasts: Effect of Content Delivery Timing on Knowledge Acquisition and Retention.

PURPOSE: This study examined whether the order of podcast content influenced knowledge acquisition and retention among emergency medicine (EM) resident physicians. METHOD: This preplanned secondary analysis of 2 large, multicenter trials included a randomized, crossover trial conducted from November 2019 to June 2020 of 100 residents that compared driving and seated condition for two 30-minute podcasts and a randomized, crossover trial conducted from September 2022 to January 2023 of 95 EM residents that compared exercise with seated condition for the same two 30-minute podcasts. Each podcast contained 6 journal article reviews, with the segments recorded in forward or backward order. After completing each podcast, participants completed an initial 20-question test and a 40-question delayed recall test with separate questions. Segments were divided into 3 subgroups based on the order in which they were played (primacy group, recency group, and reference group) for assessment of recency and primacy effects. The mean scaled scores from the primacy and recency groups were compared with scores from the reference group. RESULTS: The study included 195 residents (390 podcasts), with 100 residents listening in the forward order and 95 residents the reverse order. No statistically significant difference was found in immediate recall scores between the primacy and reference groups (d = 0.094; 95% CI, -0.046 to 0.234) or the recency and reference groups (d = -0.041; 95% CI, -0.181 to 0.099) or in 30-day delayed recall score between the primacy and reference groups (d = -0.088; 95% CI, -0.232 to 0.056) or the recency and reference groups (d = -0.083; 95% CI, -0.227 to 0.060). CONCLUSIONS: The order of podcast information did not significantly affect immediate knowledge acquisition or delayed knowledge retention. This finding can inform podcast creators and listeners regarding the order of content when using podcasts for learning.

A scoping review of artificial intelligence in medical education: BEME Guide No. 84.

BACKGROUND: Artificial Intelligence (AI) is rapidly transforming healthcare, and there is a critical need for a nuanced understanding of how AI is reshaping teaching, learning, and educational practice in medical education. This review aimed to map the literature regarding AI applications in medical education, core areas of findings, potential candidates for formal systematic review and gaps for future research. METHODS: This rapid scoping review, conducted over 16 weeks, employed Arksey and O'Malley's framework and adhered to STORIES and BEME guidelines. A systematic and comprehensive search across PubMed/MEDLINE, EMBASE, and MedEdPublish was conducted without date or language restrictions. Publications included in the review spanned undergraduate, graduate, and continuing medical education, encompassing both original studies and perspective pieces. Data were charted by multiple author pairs and synthesized into various thematic maps and charts, ensuring a broad and detailed representation of the current landscape. RESULTS: The review synthesized 278 publications, with a majority (68%) from North American and European regions. The studies covered diverse AI applications in medical education, such as AI for admissions, teaching, assessment, and clinical reasoning. The review highlighted AI's varied roles, from augmenting traditional educational methods to introducing innovative practices, and underscores the urgent need for ethical guidelines in AI's application in medical education. CONCLUSION: The current literature has been charted. The findings underscore the need for ongoing research to explore uncharted areas and address potential risks associated with AI use in medical education. This work serves as a foundational resource for educators, policymakers, and researchers in navigating AI's evolving role in medical education. A framework to support future high utility reporting is proposed, the FACETS framework.

Improving Graduate Medical Education by Aggregating Data Across the Medical Education Continuum.

ABSTRACT: Meaningful improvements to graduate medical education (GME) have been achieved in recent decades, yet many GME improvement pilots have been small trials without rigorous outcome measures and with limited generalizability. Thus, lack of access to large-scale data is a key barrier to generating empiric evidence to improve GME. In this article, the authors examine the potential of a national GME data infrastructure to improve GME, review the output of 2 national workshops on this topic, and propose a path toward achieving this goal.The authors envision a future where medical education is shaped by evidence from rigorous research powered by comprehensive, multi-institutional data. To achieve this goal, premedical education, undergraduate medical education, GME, and practicing physician data must be collected using a common data dictionary and standards and longitudinally linked using unique individual identifiers. The envisioned data infrastructure could provide a foundation for evidence-based decisions across all aspects of GME and help optimize the education of individual residents.Two workshops hosted by the National Academies of Sciences, Engineering, and Medicine Board on Health Care Services explored the prospect of better using GME data to improve education and its outcomes. There was broad consensus about the potential value of a longitudinal data infrastructure to improve GME. Significant obstacles were also noted.Suggested next steps outlined by the authors include producing a more complete inventory of data already being collected and managed by key medical education leadership organizations, pursuing a grass-roots data sharing pilot among GME-sponsoring institutions, and formulating the technical and governance frameworks needed to aggregate data across organizations.The power and potential of big data is evident across many disciplines, and the authors believe that harnessing the power of big data in GME is the best next step toward advancing evidence-based physician education.

A Randomized Trial Assessing the Effect of Exercise on Residents' Podcast Knowledge Acquisition and Retention.

PURPOSE: Podcasts are commonly used by residents as part of their learning, with many listening concomitantly with other activities (e.g., driving and exercise). The effects of exercise on learning are controversial, with some suggesting potential benefit and others suggesting impaired learning. This study examined whether exercise influences knowledge acquisition and retention among resident physicians listening to a podcast while exercising versus those with undistracted listening. METHOD: This multicenter, randomized, crossover trial assessed emergency medicine residents across 5 U.S. institutions from September 2022 to January 2023. Residents were randomized to a group that listened to one 30-minute podcast while seated or a group that listened to a 30-minute podcast while engaging in 30 minutes of continuous aerobic exercise, with stratification by site and postgraduate year. Within 30 minutes of completing the podcast, they completed a 20-question multiple-choice test. They subsequently crossed over to the other intervention and listened to a different 30-minute podcast followed by another 20-question test. Each podcast focused on emergency medicine-relevant journal articles that had not been covered in journal club or curriculum at any sites. Residents also completed a 40-question delayed recall test with separate questions on both podcasts at 30 days. RESULTS: Ninety-six residents were recruited for the study, with 95 (99.0%) completing the initial recall portion and 92 (97.0%) completing the delayed recall tests. No statistically significant differences were found between the exercise and seated cohorts on initial recall (74.4% vs 76.3%; d = -0.12; 95% CI, -0.33 to 0.08; P = .12) or delayed recall (52.3% vs 52.5%; d = -0.01; 95% CI, -0.22 to -0.19; P = .46). CONCLUSIONS: Exercising while listening to podcasts did not appear to meaningfully affect knowledge acquisition or retention at 30 days when compared with listening while seated and undistracted.

Guidelines: The Do's, Don'ts and Don't Knows of Creating Open Educational Resources.

Background: In medical education, there is a growing global demand for Open Educational Resources (OERs). However, OER creators are challenged by a lack of uniform standards. In this guideline, the authors curated the literature on how to produce OERs for medical education with practical guidance on the Do's, Don'ts and Don't Knows for OER creation in order to improve the impact and quality of OERs in medical education. Methods: We conducted a rapid literature review by searching OVID MEDLINE, EMBASE, and Cochrane Central database using keywords "open educational resources" and "OER". The search was supplemented by hand searching the identified articles' references. We organized included articles by theme and extracted relevant content. Lastly, we developed recommendations via an iterative process of peer review and discussion: evidence-based best practices were designated Do's and Don'ts while gaps were designated Don't Knows. We used a consensus process to quantify evidentiary strength. Results: The authors performed full text analysis of 81 eligible studies. A total of 15 Do's, Don't, and Don't Knows guidelines were compiled and presented alongside relevant evidence about OERs. Discussion: OERs can add value for medical educators and their learners, both as tools for expanding teaching opportunities and for promoting medical education scholarship. This summary should guide OER creators in producing high-quality resources and pursuing future research where best practices are lacking.

A decade of faculty development for health professions educators: lessons learned from the Macy Faculty Scholars Program.

Faculty development (FD) programs are critical for providing the knowledge and skills necessary to drive positive change in health professions education, but they take many forms to attain the program goals. The Macy Faculty Scholars Program (MFSP), created by the Josiah Macy Jr. Foundation (JMJF) in 2010, intends to develop participants as leaders, scholars, teachers, and mentors. After a decade of implementation, an external review committee conducted a program evaluation to determine how well the program met its intended goals and defined options for ongoing improvement.The committee selected Stufflebeam's CIPP (context, input, process, products) framework to guide the program evaluation. Context and input components were derived from the MFSP description and demographic data, respectively. Process and product components were obtained through a mixed-methods approach, utilizing both quantitative and qualitative data obtained from participant survey responses, and curriculum vitae (CV).The evaluation found participants responded favorably to the program and demonstrated an overall increase in academic productivity, most pronounced during the two years of the program. Mentorship, community of practice, and protected time were cited as major strengths. Areas for improvement included: enhancing the diversity of program participants, program leaders and mentors across multiple sociodemographic domains; leveraging technology to strengthen the MFSP community of practice; and improving flexibility of the program.The program evaluation results provide evidence supporting ongoing investment in faculty educators and summarizes key strengths and areas for improvement to inform future FD efforts for both the MFSP and other FD programs.

Implementation of the SIMPL (Society for Improving Medical Professional Learning) performance assessment tool in the emergency department: A pilot study.

Background: Feedback and assessment are difficult to provide in the emergency department (ED) setting despite their critical importance for competency-based education, and traditional end-of-shift evaluations (ESEs) alone may be inadequate. The SIMPL (Society for Improving Medical Professional Learning) mobile application has been successfully implemented and studied in the operative setting for surgical training programs as a point-of-care tool that incorporates three assessment scales in addition to dictated feedback. SIMPL may represent a viable tool for enhancing workplace-based feedback and assessment in emergency medicine (EM). Methods: We implemented SIMPL at a 4-year EM residency program during a pilot study from March to June 2021 for observable activities such as medical resuscitations and related procedures. Faculty and residents underwent formal rater training prior to launch and were asked to complete surveys regarding the SIMPL app's content, usability, and future directions at the end of the pilot. Results: A total of 36/58 (62%) of faculty completed at least one evaluation, for a total of 190 evaluations and an average of three evaluations per faculty. Faculty initiated 130/190 (68%) and residents initiated 60/190 (32%) evaluations. Ninety-one percent included dictated feedback. A total of 45/54 (83%) residents received at least one evaluation, with an average of 3.5 evaluations per resident. Residents generally agreed that SIMPL increased the quality of feedback received and that they valued dictated feedback. Residents generally did not value the numerical feedback provided from SIMPL. Relative to the residents, faculty overall responded more positively toward SIMPL. The pilot generated several suggestions to inform the optimization of the next version of SIMPL for EM training programs. Conclusions: The SIMPL app, originally developed for use in surgical training programs, can be implemented for use in EM residency programs, has positive support from faculty, and may provide important adjunct information beyond current ESEs.

Development of a lecture evaluation tool rooted in cognitive load theory: A modified Delphi study.

Background: Didactics play a key role in medical education. There is no standardized didactic evaluation tool to assess quality and provide feedback to instructors. Cognitive load theory provides a framework for lecture evaluations. We sought to develop an evaluation tool, rooted in cognitive load theory, to assess quality of didactic lectures. Methods: We used a modified Delphi method to achieve expert consensus for items in a lecture evaluation tool. Nine emergency medicine educators with expertise in cognitive load participated in three modified Delphi rounds. In the first two rounds, experts rated the importance of including each item in the evaluation rubric on a 1 to 9 Likert scale with 1 labeled as "not at all important" and 9 labeled as "extremely important." In the third round, experts were asked to make a binary choice of whether the item should be included in the final evaluation tool. In each round, the experts were invited to provide written comments, edits, and suggested additional items. Modifications were made between rounds based on item scores and expert feedback. We calculated descriptive statistics for item scores. Results: We completed three Delphi rounds, each with 100% response rate. After Round 1, we removed one item, made major changes to two items, made minor wording changes to nine items, and modified the scale of one item. Following Round 2, we eliminated three items, made major wording changes to one item, and made minor wording changes to one item. After the third round, we made minor wording changes to two items. We also reordered and categorized items for ease of use. The final evaluation tool consisted of nine items. Conclusions: We developed a lecture assessment tool rooted in cognitive load theory specific to medical education. This tool can be applied to assess quality of instruction and provide important feedback to speakers.

Virtual interviewing for graduate medical education recruitment and selection: A BEME systematic review: BEME Guide No. 80.

BACKGROUND: The COVID-19 pandemic caused graduate medical education (GME) programs to pivot to virtual interviews (VIs) for recruitment and selection. This systematic review synthesizes the rapidly expanding evidence base on VIs, providing insights into preferred formats, strengths, and weaknesses. METHODS: PubMed/MEDLINE, Scopus, ERIC, PsycINFO, MedEdPublish, and Google Scholar were searched from 1 January 2012 to 21 February 2022. Two authors independently screened titles, abstracts, full texts, performed data extraction, and assessed risk of bias using the Medical Education Research Quality Instrument. Findings were reported according to Best Evidence in Medical Education guidance. RESULTS: One hundred ten studies were included. The majority (97%) were from North America. Fourteen were conducted before COVID-19 and 96 during the pandemic. Studies involved both medical students applying to residencies (61%) and residents applying to fellowships (39%). Surgical specialties were more represented than other specialties. Applicants preferred VI days that lasted 4-6 h, with three to five individual interviews (15-20 min each), with virtual tours and opportunities to connect with current faculty and trainees. Satisfaction with VIs was high, though both applicants and programs found VIs inferior to in-person interviews for assessing 'fit.' Confidence in ranking applicants and programs was decreased. Stakeholders universally noted significant cost and time savings with VIs, as well as equity gains and reduced carbon footprint due to eliminating travel. CONCLUSIONS: The use of VIs for GME recruitment and selection has accelerated rapidly. The findings of this review offer early insights that can guide future practice, policy, and research.

Increased soluble urokinase plasminogen activator levels modulate monocyte function to promote atherosclerosis.

People with kidney disease are disproportionately affected by atherosclerosis for unclear reasons. Soluble urokinase plasminogen activator receptor (suPAR) is an immune-derived mediator of kidney disease, levels of which are strongly associated with cardiovascular outcomes. We assessed suPAR's pathogenic involvement in atherosclerosis using epidemiologic, genetic, and experimental approaches. We found serum suPAR levels to be predictive of coronary artery calcification and cardiovascular events in 5,406 participants without known coronary disease. In a genome-wide association meta-analysis including over 25,000 individuals, we identified a missense variant in the plasminogen activator, urokinase receptor (PLAUR) gene (rs4760), confirmed experimentally to lead to higher suPAR levels. Mendelian randomization analysis in the UK Biobank using rs4760 indicated a causal association between genetically predicted suPAR levels and atherosclerotic phenotypes. In an experimental model of atherosclerosis, proprotein convertase subtilisin/kexin-9 (Pcsk9) transfection in mice overexpressing suPAR (suPARTg) led to substantially increased atherosclerotic plaques with necrotic cores and macrophage infiltration compared with those in WT mice, despite similar cholesterol levels. Prior to induction of atherosclerosis, aortas of suPARTg mice excreted higher levels of CCL2 and had higher monocyte counts compared with WT aortas. Aortic and circulating suPARTg monocytes exhibited a proinflammatory profile and enhanced chemotaxis. These findings characterize suPAR as a pathogenic factor for atherosclerosis acting at least partially through modulation of monocyte function.

Framework From a Multidisciplinary Approach for Transitioning Variants of Unknown Significance From Clinical Genetic Testing in Kidney Disease to a Definitive Classification.

Introduction: Monogenic causes in over 300 kidney-associated genes account for approximately 12% of end stage kidney disease (ESKD) cases. Advances in sequencing and large customized panels enable the noninvasive diagnosis of monogenic kidney disease at relatively low cost, thereby allowing for more precise management for patients and their families. A major challenge is interpreting rare variants, many of which are classified as variants of unknown significance (VUS). We present a framework in which we thoroughly evaluated and provided evidence of pathogenicity for HNF1B-p.Arg303His, a VUS returned from clinical diagnostic testing for a kidney transplant candidate. Methods: A blueprint was designed by a multidisciplinary team of clinicians, molecular biologists, and diagnostic geneticists. The blueprint included using a health system-based cohort with genetic and clinical information to perform deep phenotyping of VUS heterozygotes to identify the candidate VUS and rule out other VUS, examination of existing genetic databases, as well as functional testing. Results: Our approach demonstrated evidence for pathogenicity for HNF1B-p.Arg303His by showing similar burden of kidney manifestations in this variant to known HNF1B pathogenic variants, and greater burden compared to noncarriers. Conclusion: Determination of a molecular diagnosis for the example family allows for proper surveillance and management of HNF1B-related manifestations such as kidney disease, diabetes, and hypomagnesemia with important implications for safe living-related kidney donation. The candidate gene-variant pair also allows for clinical biomarker testing for aberrations of linked pathways. This working model may be applicable to other diseases of genetic etiology.

Multiancestry exome sequencing reveals INHBE mutations associated with favorable fat distribution and protection from diabetes.

Body fat distribution is a major, heritable risk factor for cardiometabolic disease, independent of overall adiposity. Using exome-sequencing in 618,375 individuals (including 160,058 non-Europeans) from the UK, Sweden and Mexico, we identify 16 genes associated with fat distribution at exome-wide significance. We show 6-fold larger effect for fat-distribution associated rare coding variants compared with fine-mapped common alleles, enrichment for genes expressed in adipose tissue and causal genes for partial lipodystrophies, and evidence of sex-dimorphism. We describe an association with favorable fat distribution (p = 1.8 × 10-09), favorable metabolic profile and protection from type 2 diabetes (~28% lower odds; p = 0.004) for heterozygous protein-truncating mutations in INHBE, which encodes a circulating growth factor of the activin family, highly and specifically expressed in hepatocytes. Our results suggest that inhibin ßE is a liver-expressed negative regulator of adipose storage whose blockade may be beneficial in fat distribution-associated metabolic disease.

Germline Mutations in CIDEB and Protection against Liver Disease.

BACKGROUND: Exome sequencing in hundreds of thousands of persons may enable the identification of rare protein-coding genetic variants associated with protection from human diseases like liver cirrhosis, providing a strategy for the discovery of new therapeutic targets. METHODS: We performed a multistage exome sequencing and genetic association analysis to identify genes in which rare protein-coding variants were associated with liver phenotypes. We conducted in vitro experiments to further characterize associations. RESULTS: The multistage analysis involved 542,904 persons with available data on liver aminotransferase levels, 24,944 patients with various types of liver disease, and 490,636 controls without liver disease. We found that rare coding variants in APOB, ABCB4, SLC30A10, and TM6SF2 were associated with increased aminotransferase levels and an increased risk of liver disease. We also found that variants in CIDEB, which encodes a structural protein found in hepatic lipid droplets, had a protective effect. The burden of rare predicted loss-of-function variants plus missense variants in CIDEB (combined carrier frequency, 0.7%) was associated with decreased alanine aminotransferase levels (beta per allele, -1.24 U per liter; 95% confidence interval [CI], -1.66 to -0.83; P = 4.8×10-9) and with 33% lower odds of liver disease of any cause (odds ratio per allele, 0.67; 95% CI, 0.57 to 0.79; P = 9.9×10-7). Rare coding variants in CIDEB were associated with a decreased risk of liver disease across different underlying causes and different degrees of severity, including cirrhosis of any cause (odds ratio per allele, 0.50; 95% CI, 0.36 to 0.70). Among 3599 patients who had undergone bariatric surgery, rare coding variants in CIDEB were associated with a decreased nonalcoholic fatty liver disease activity score (beta per allele in score units, -0.98; 95% CI, -1.54 to -0.41 [scores range from 0 to 8, with higher scores indicating more severe disease]). In human hepatoma cell lines challenged with oleate, CIDEB small interfering RNA knockdown prevented the buildup of large lipid droplets. CONCLUSIONS: Rare germline mutations in CIDEB conferred substantial protection from liver disease. (Funded by Regeneron Pharmaceuticals.).

A multiancestry genome-wide association study of unexplained chronic ALT elevation as a proxy for nonalcoholic fatty liver disease with histological and radiological validation.

Nonalcoholic fatty liver disease (NAFLD) is a growing cause of chronic liver disease. Using a proxy NAFLD definition of chronic elevation of alanine aminotransferase (cALT) levels without other liver diseases, we performed a multiancestry genome-wide association study (GWAS) in the Million Veteran Program (MVP) including 90,408 cALT cases and 128,187 controls. Seventy-seven loci exceeded genome-wide significance, including 25 without prior NAFLD or alanine aminotransferase associations, with one additional locus identified in European American-only and two in African American-only analyses (P < 5 × 10-8). External replication in histology-defined NAFLD cohorts (7,397 cases and 56,785 controls) or radiologic imaging cohorts (n = 44,289) replicated 17 single-nucleotide polymorphisms (SNPs) (P < 6.5 × 10-4), of which 9 were new (TRIB1, PPARG, MTTP, SERPINA1, FTO, IL1RN, COBLL1, APOH and IFI30). Pleiotropy analysis showed that 61 of 77 multiancestry and all 17 replicated SNPs were jointly associated with metabolic and/or inflammatory traits, revealing a complex model of genetic architecture. Our approach integrating cALT, histology and imaging reveals new insights into genetic liability to NAFLD.

Association of Habitual Alcohol Intake With Risk of Cardiovascular Disease.

Importance: Observational studies have consistently proposed cardiovascular benefits associated with light alcohol consumption, while recent genetic analyses (ie, mendelian randomization studies) have suggested a possible causal link between alcohol intake and increased risk of cardiovascular disease. However, traditional approaches to genetic epidemiology assume a linear association and thus have not fully evaluated dose-response estimates of risk across different levels of alcohol intake. Objectives: To assess the association of habitual alcohol intake with cardiovascular disease risk and to evaluate the direction and relative magnitude of cardiovascular risk associated with different amounts of alcohol consumption. Design, Setting, and Participants: This cohort study used the UK Biobank (2006-2010, follow-up until 2016) to examine confounding in epidemiologic associations between alcohol intake and cardiovascular diseases. Using both traditional (ie, linear) and nonlinear mendelian randomization, potential associations between alcohol consumption and cardiovascular diseases (eg, hypertension and coronary artery disease) as well as corresponding association shapes were assessed. Data analysis was conducted from July 2019 to January 2022. Exposures: Genetic predisposition to alcohol intake. Main Outcomes and Measures: The association between alcohol consumption and cardiovascular diseases, including hypertension, coronary artery disease, myocardial infarction, stroke, heart failure, and atrial fibrillation. Results: This study included 371 463 participants (mean [SD] age, 57.0 [7.9] years; 172 400 [46%] men), who consumed a mean (SD) 9.2 (10.6) standard drinks per week. Overall, 121 708 participants (33%) had hypertension. Light to moderate alcohol consumption was associated with healthier lifestyle factors, adjustment for which attenuated the cardioprotective epidemiologic associations with modest intake. In linear mendelian randomization analyses, a 1-SD increase in genetically predicted alcohol consumption was associated with 1.3-fold (95% CI, 1.2-1.4) higher risk of hypertension (P < .001) and 1.4-fold (95% CI, 1.1-1.8) higher risk of coronary artery disease (P = .006). Nonlinear mendelian randomization analyses suggested nonlinear associations between alcohol consumption and both hypertension and coronary artery disease: light alcohol intake was associated with minimal increases in cardiovascular risk, whereas heavier consumption was associated with exponential increases in risk of both clinical and subclinical cardiovascular disease. Conclusions and Relevance: In this cohort study, coincident, favorable lifestyle factors attenuated the observational benefits of modest alcohol intake. Genetic epidemiology suggested that alcohol consumption of all amounts was associated with increased cardiovascular risk, but marked risk differences exist across levels of intake, including those accepted by current national guidelines.

Identifying Social Media Competencies for Health Professionals: An International Modified Delphi Study to Determine Consensus for Curricular Design.

STUDY OBJECTIVE: The use of social media by health professionals is widespread. However, there is a lack of training to support the effective use of these novel platforms that account for the nuances of an effective health and research communication. We sought to identify the competencies needed by health care professionals to develop an effective social media presence as a medical professional, with the goal of building a social media curriculum. METHODS: We conducted a modified Delphi study, utilizing Kraiger's Knowledge, Skills, and Attitudes framework to identify appropriate items for inclusion in a social media curriculum targeted at health care professionals. Experts in this space were defined as health care professionals who had delivered workshops, published papers, or developed prominent social media tools/accounts. They were recruited through a multimodal campaign to complete a series of 3 survey rounds designed to build consensus. In keeping with prior studies, a threshold of 80% endorsement was used for inclusion in the final list of items. RESULTS: Ninety-eight participants met the expert criteria and were invited to participate in the study. Of the 98 participants, 92 (94%) experts completed the first round; of the 92 experts who completed the first round, 83 (90%) completed the second round; and of the 83 experts who completed the second round, 81 (98%) completed the third round of the Delphi study. Eighteen new items were suggested in the first survey and incorporated into the study. A total of 46 items met the 80% inclusion threshold. CONCLUSION: We identified 46 items that were believed to be important for health care professionals using social media. This list should inform the development of curricular activities and objectives.