A Multicenter Observational Study Comparing Virtual with In-Person Morning Reports during the COVID-19 Pandemic.

OBJECTIVES: The coronavirus disease 2019 (COVID-19) pandemic disrupted how educational conferences were delivered, leaving programs to choose between in-person and virtual morning report formats. The objective of our study was to describe morning reports during the COVID-19 pandemic, including the use of virtual formats, attendance, leadership, and content. METHODS: A prospective observational study of morning reports was conducted at 13 Internal Medicine residency programs between September 1, 2020 and March 30, 2021, including a follow-up survey of current morning report format in January 2023. RESULTS: In total, 257 reports were observed; 74% used virtual formats, including single hospital, multiple hospital, and a hybrid format with both in-person and virtual participants. Compared with in-person reports, virtual reports had more participants, with increased numbers of learners (median 21 vs 7; P < 0.001) and attendings (median 4 vs 2; P < 0.001), and they were more likely to involve medical students (83% vs 40%; P < 0.001), interns (99% vs 53%; P < 0.001), and program directors (68% vs 32%; P < 0.001). Attendings were less likely to lead virtual reports (3% vs 28%, P < 0.001). Virtual reports also were more likely to be case based (88% vs 69%; P < 0.001) and to use digital presentation slides (91% vs 36%; P < 0.001). There was a marked increase in the number of slides (median 20 vs 0; P < 0.001). As of January 2023, all 13 programs had returned to in-person reports, with only 1 program offering an option to participate virtually. CONCLUSIONS: During the COVID-19 pandemic, virtual morning report formats predominated. Compared with traditional in-person reports, virtual report increased attendance, favored resident leadership, and approached a similar range of patient diagnoses with a greater number of case-based presentations and slides. In spite of these characteristics, all programs returned to an in-person format for morning report as pandemic restrictions waned.

Internal Medicine Residents' Experience Performing Routine Assessment of What Matters Most to Patients Upon Hospital Admission.

PROBLEM: Failure to elicit patients' values, goals, and priorities can result in missed opportunities to provide patient-centered care. Little is known about resident physicians' direct experience of eliciting patients' values, goals, and priorities and integrating them into routine hospital care. INTERVENTION: In 2017, we asked resident physicians on general internal medicine wards rotations to elicit and document a "Personal History" from patients upon hospital admission, in addition to a traditional social history. We defined a Personal History as documenting "what matters most to the patient and why." The purpose of the Personal History was to understand and consider patients' values, goals, and priorities. We then conducted qualitative interviews of the resident physicians to understand their experiences eliciting and integrating patients' values, goals, and priorities in routine hospital care. CONTEXT: We performed this exploratory intervention at a large high-volume urban hospital. Two teams from general medicine wards participated in the Personal History intervention. We conducted voluntary interviews of eligible residents (n = 14/15; 93%) about their experience after they completed their general wards rotations. Using the coproduction model, our aim was to explore how patients' self-expertise can be combined with physicians' medical expertise to achieve patient-centered care. IMPACT: Four major themes were identified: 1) Taking a Personal History had value, and eliciting patients' self-expertise had the potential to change medical decision making, 2) Situational and relational factors created barriers to obtaining a Personal History, 3) Variability in buy-in with the proposed intervention affected effort, and 4) Meaningful Personal History taking could be an adaptive and longitudinal process. Perceived benefits included improved rapport with patients, helpful for patients with complex medical history, and improved physician-patient communication. Barriers included patient distress, lack of rapport, and responses from patients which did not add new insights. Accountability from attending physicians affected resident effort. Suggested future applications were for patients with serious illness, integration into electronic health records, and skills taught in medical education. LESSONS LEARNED: Resident physicians had generally positive views of eliciting a Personal History from patients upon admission to the hospital. Overall, many residents conveyed the perceived ability to elicit and consider patient's values, goals, and priorities in certain situations (e.g., patient not in distress, adequate rapport, lack of competing priorities such as medical emergencies or overwhelming workloads). External factors, such as electronic health record design and accountability from attending physicians, may further promote residents' efforts to routinely incorporate patients' values, goals, and priorities in clinical care. Increasing familiarity among both resident physicians and patients in routinely discussing patients' values, goals, and priorities may facilitate patient-centered practice.

What internal medicine attendings talk about at morning report: a multicenter study.

BACKGROUND: Morning report is a core educational activity in internal medicine resident education. Attending physicians regularly participate in morning report and influence the learning environment, though no previous study has described the contribution of attending physicians to this conference. This study aims to describe attending comments at internal medicine morning reports. METHODS: We conducted a prospective, observational study of morning reports conducted at 13 internal medicine residency programs between September 1, 2020, and March 30, 2021. Each attending comment was described including its duration, whether the comment was teaching or non-teaching, teaching topic, and field of practice of the commenter. We also recorded morning report-related variables including number of learners, report format, program director participation, and whether report was scripted (facilitator has advance knowledge of the case). A regression model was developed to describe variables associated with the number of attending comments per report. RESULTS: There were 2,344 attending comments during 250 conferences. The median number of attendings present was 3 (IQR, 2-5). The number of comments per report ranged across different sites from 3.9 to 16.8 with a mean of 9.4 comments/report (SD, 7.4). 66% of comments were shorter than one minute in duration and 73% were categorized as teaching by observers. The most common subjects of teaching comments were differential diagnosis, management, and testing. Report duration, number of general internists, unscripted reports, and in-person format were associated with significantly increased number of attending comments. CONCLUSIONS: Attending comments in morning report were generally brief, focused on clinical teaching, and covered a wide range of topics. There were substantial differences between programs in terms of the number of comments and their duration which likely affects the local learning environment. Morning report stakeholders that are interested in increasing attending involvement in morning report should consider employing in-person and unscripted reports. Additional studies are needed to explore best practice models of attending participation in morning report.

A Digital Ethnography of Medical Students who Use Twitter for Professional Development.

BACKGROUND: While researchers have studied negative professional consequences of medical trainee social media use, little is known about how medical students informally use social media for education and career development. This knowledge may help future and current physicians succeed in the digital age. OBJECTIVE: We aimed to explore how and why medical students use Twitter for professional development. DESIGN: This was a digital ethnography. PARTICIPANTS: Medical student "superusers" of Twitter participated in the study APPROACH: The postings ("tweets") of 31 medical student superusers were observed for 8 months (May-December 2013), and structured field notes recorded. Through purposive sampling, individual key informant interviews were conducted to explore Twitter use and values until thematic saturation was reached (ten students). Three faculty key informant interviews were also conducted. Ego network and subnetwork analysis of student key informants was performed. Qualitative analysis included inductive coding of field notes and interviews, triangulation of data, and analytic memos in an iterative process. KEY RESULTS: Twitter served as a professional tool that supplemented the traditional medical school experience. Superusers approached their use of Twitter with purpose and were mindful of online professionalism as well as of being good Twitter citizens. Their tweets reflected a mix of personal and professional content. Student key informants had a high number of followers. The subnetwork of key informants was well-connected, showing evidence of a social network versus information network. Twitter provided value in two major domains: access and voice. Students gained access to information, to experts, to a variety of perspectives including patient and public perspectives, and to communities of support. They also gained a platform for advocacy, control of their digital footprint, and a sense of equalization within the medical hierarchy. CONCLUSIONS: Twitter can serve as a professional tool that supplements traditional education. Students' practices and guiding principles can serve as best practices for other students as well as faculty.

Online professionalism: A synthetic review.

The rise of social media has increased connectivity and blurred personal and professional boundaries, bringing new challenges for medical professionalism. Whether traditional professionalism principles apply to the online social media space remains unknown. The purpose of this synthetic literature review was to characterize the original peer-reviewed research studies published between 1 January 2000-1 November 2014 on online professionalism, to assess methodologies and approaches used, and to provide insights to guide future studies in this area. The investigators searched three databases and performed manual searches of bibliographies to identify the 32 studies included. Most studies originated in the USA. Cross-sectional surveys and analyses of publicly available online content were the most common methodologies employed. Studies covered the general areas of use and privacy, assessment of unprofessional online behaviours, consensus-gathering of what constitutes unprofessional or inappropriate online behaviours, and education and policies. Studies were of variable quality; only around half of survey studies had response rates of 50% or greater. Medical trainees were the most common population studied. Future directions for research include public perspectives of online professionalism, impact on patient trust, and how to use social media productively as medical professionals.

A Comprehensive Index for Predicting Risk of Anemia from Patients' Diagnoses.

This article demonstrates how time-dependent, interacting, and repeating risk factors can be used to create more accurate predictive medicine. In particular, we show how emergence of anemia can be predicted from medical history within electronic health records. We used the Veterans Affairs Informatics and Computing Infrastructure database to examine a retrospective cohort of 9,738,838 veterans over an 11-year period. Using International Clinical Diagnoses Version 9 codes organized into 25 major diagnostic categories, we measured progression of disease by examining changes in risk over time, interactions in risk of combination of diseases, and elevated risk associated with repeated hospitalization for the same diagnostic category. The maximum risk associated with each diagnostic category was used to predict anemia. The accuracy of the model was assessed using a validation cohort. Age and several diagnostic categories significantly contributed to the prediction of anemia. The largest contributors were health status ([Formula: see text] = -1075, t = -92, p < 0.000), diseases of the endocrine ([Formula: see text] = -1046, t = -87, p < 0.000), hepatobiliary ([Formula: see text] = -1043, t = -72, p < 0.000), kidney ([Formula: see text] = -1125, t = -111, p < 0.000), and respiratory systems ([Formula: see text] = -1151, t = -89, p < 0.000). The AUC for the additive model was 0.751 (confidence interval 74.95%-75.26%). The magnitude of AUC suggests that the model may assist clinicians in determining which patients are likely to develop anemia. The procedures used for examining changes in risk factors over time may also be helpful in other predictive medicine projects.