Association of Socioeconomic Status, Sex, Racial, and Ethnic Identity With Sustained and Cultivated Careers in Surgery.

OBJECTIVE: Examine the association between sex, race, ethnicity, and family income, and the intersectionality between these identities, and sustained or cultivated paths in surgery in medical school. METHODS: This retrospective cohort study examines US medical students who matriculated in academic years 2014-2015 and 2015-2016. Data were provided by the Association of American Medical Colleges, including self-reported sex, race, ethnicity, family income, interest in surgery at matriculation, and successful placement into a surgical residency at graduation. This study examined 2 outcomes: (1) sustained path in surgery between matriculation and graduation for students who entered medical school with an interest in surgery and (2) cultivated path in surgery for students who entered medical school not initially interested in surgery and who applied to and were successfully placed into a surgical residency at graduation. RESULTS: Among the 5074 students who reported interest in surgery at matriculation, 2108 (41.5%) had sustained path in surgery. Compared to male students, female students were significantly less likely to have sustained path in surgery [adjusted relative risk (aRR): 0.92 (0.85-0.98)], while Asian (aRR: 0.82, 95% CI: 0.74-0.91), Hispanic (aRR: 0.70, 95% CI: 0.59-0.83), and low-income (aRR: 0.85, 95% CI: 0.78-0.92) students were less likely to have a sustained path in surgery compared to their peers. Among the 17,586 students who reported an initial interest in a nonsurgical specialty, 1869 (10.6%) were placed into a surgical residency at graduation. Female students, regardless of race/ethnic identity and income, were significantly less likely to have cultivated paths in surgery compared to male students, with underrepresented in medicine female students reporting the lowest rates. CONCLUSIONS AND RELEVANCE: This study demonstrates the significant disparity in sustained and cultivated paths in surgery during undergraduate medical education. Innovative transformation of the surgical learning environment to promote surgical identity development and belonging for females, underrepresented in medicine, and low-income students is essential to diversify the surgical workforce.

National Institutes of Health Diversity Supplement Awards by Medical School.

BACKGROUND: Increasing medical school faculty diversity is an urgent priority. National Institutes of Health (NIH) diversity supplements, which provide funding and career development opportunities to individuals underrepresented in research, are an important mechanism to increase faculty diversity. OBJECTIVE: Analyze diversity supplement utilization by medical schools. DESIGN: Retrospective cohort study. PARTICIPANTS: All R01 grant-associated diversity supplements awarded to medical schools from 2005 to 2020. Diversity supplements were identified using the publicly available NIH RePORTER database. MAIN MEASURES: Main measures were the number of R01-associated diversity supplements awarded to medical schools each year by medical school NIH funding status and the number of R01-associated diversity supplements awarded to individual medical schools in the NIH top 40 by funding status. We also examined the percentage of R01 grants with an associated diversity supplement by NIH funding status and individual medical school in the NIH top 40. KEY RESULTS: From 2005 to 2020, US medical school faculty received 1389 R01-associated diversity supplements. The number of diversity supplements awarded grew from 2012 to 2020, from ten to 187 for top 40 schools, and from seven to 83 for non-top 40 schools. The annual growth rate for diversity supplement awards at NIH top 40 schools (44.2%) was not significantly different than the annual growth rate among non-top 40 schools (36.2%; p = 0.68). From 2005 to 2020, the highest number of diversity supplements that an individual medical school received was 56 and the lowest number was four (mean = 24.6, SD = 11.7). The highest percentage of R01 grants with an associated diversity supplement received by a school was 4.5% and the lowest percentage was 0.79% (mean = 2.3%, SD = 0.98). CONCLUSION: Medical schools may be missing an opportunity to address the continuing shortage of individuals historically underrepresented in biomedical science and should consider additional mechanisms to enhance diversity supplement utilization.

Predicting 6-Month Mortality for Older Adults Hospitalized With Acute Myocardial Infarction: A Cohort Study.

Background: Older adults with acute myocardial infarction (AMI) have higher prevalence of functional impairments, including deficits in cognition, strength, and sensory domains, than their younger counterparts. Objective: To develop and evaluate the prognostic utility of a risk model for 6-month post-AMI mortality in older adults that incorporates information about functional impairments. Design: Prospective cohort study. (ClinicalTrials.gov: NCT01755052). Setting: 94 hospitals throughout the United States. Participants: 3006 persons aged 75 years or older who were hospitalized with AMI and discharged alive. Measurements: Functional impairments were assessed during hospitalization via direct measurement (cognition, mobility, muscle strength) or self-report (vision, hearing). Clinical variables associated with mortality in prior risk models were ascertained by chart review. Seventy-two candidate variables were selected for inclusion, and backward selection and Bayesian model averaging were used to derive (n = 2004 participants) and validate (n = 1002 participants) a model for 6-month mortality. Results: Participants' mean age was 81.5 years, 44.4% were women, and 10.5% were nonwhite. There were 266 deaths (8.8%) within 6 months. The final risk model included 15 variables, 4 of which were not included in prior risk models: hearing impairment, mobility impairment, weight loss, and lower patient-reported health status. The model was well calibrated (Hosmer-Lemeshow P > 0.05) and showed good discrimination (area under the curve for the validation cohort = 0.84). Adding functional impairments significantly improved model performance, as evidenced by category-free net reclassification improvement indices of 0.21 (P = 0.008) for hearing impairment and 0.26 (P < 0.001) for mobility impairment. Limitation: The model was not externally validated. Conclusion: A newly developed model for 6-month post-AMI mortality in older adults was well calibrated and had good discriminatory ability. This model may be useful in decision making at hospital discharge. Primary Funding Source: National Heart, Lung, and Blood Institute of the National Institutes of Health.

Failure Mode and Effect Analysis: Engineering Safer Neurocritical Care Transitions.

BACKGROUND/OBJECTIVE: Inter-hospital patient transfers for neurocritical care are increasingly common due to increased regionalization for acute care, including stroke and intracerebral hemorrhage. This process of transfer is uniquely vulnerable to errors and risk given numerous handoffs involving multiple providers, from several disciplines, located at different institutions. We present failure mode and effect analysis (FMEA) as a systems engineering methodology that can be applied to neurocritical care transitions to reduce failures in communication and improve patient safety. Specifically, we describe our local implementation of FMEA to improve the safety of inter-hospital transfer for patients with intracerebral and subarachnoid hemorrhage as evidence of success. METHODS: We describe the conceptual basis for and specific use-case example for each formal step of the FMEA process. We assembled a multi-disciplinary team, developed a process map of all components required for successful transfer, and identified "failure modes" or errors that hinder completion of each subprocess. A risk or hazard analysis was conducted for each failure mode, and ones of highest impact on patient safety and outcomes were identified and prioritized for implementation. Interventions were then developed and implemented into an action plan to redesign the process. Importantly, a comprehensive evaluation method was established to monitor outcomes and reimplement interventions to provide for continual improvement. RESULTS: This intervention was associated with significant reductions in emergency department (ED) throughput (ED length of stay from 300 to 149 min, (p < .01), and improvements in inter-disciplinary communication (increase from pre-intervention (10%) to post- (64%) of inter-hospital transfers where the neurological intensive care unit and ED attendings discussed care for the patient prior to their arrival). CONCLUSIONS: Application of the FMEA approach yielded meaningful and sustained process change for patients with neurocritical care needs. Utilization of FMEA as a change instrument for quality improvement is a powerful tool for programs looking to improve timely communication, resource utilization, and ultimately patient safety.

Structured interdisciplinary bedside rounds improve interprofessional communication and workplace efficiency among residents and nurses on an inpatient internal medicine unit.

Structured Interdisciplinary Bedside Rounds (SIBR) is a standardized, team-based intervention for hospitals to deliver high quality interprofessional care. Despite its potential for improving IPC and the workplace environment, relatively little is known about SIBR's effect on these outcomes. Our study aimed to assess the fidelity of SIBR implementation on an inpatient medicine teaching unit and its effects on perceived IPC and workplace efficiency. We conducted a quasi-experimental study with 88 residents and 44 nurses at a large academic medical center and observed 1308 SIBR encounters over 24 weeks. Of these 1308 encounters, the bedside nurse was present for 96.7%, physician for 97.6%, and care manager for 94.7, and 64.7% occurred at the bedside. Following SIBR implementation, perceived IPC improved significantly among residents (93.3% versus 67.9%, p < .024) and nurses (73.7% versus 36.0%, p < .008) compared to before implementation. Moreover, residents perceived greater workplace efficiency operationalized as being paged less frequently with questions by nurses (20.0% versus 49.1%, p = .01). No statistically significant improvements were reported regarding burnout, meaning at work, and workplace satisfaction. Our implementation of SIBR significantly improved perceived IPC and workplace efficiency, which are two important domains of healthcare quality. Future work should examine the impact of SIBR on patient-centered outcomes such as patient experience.

Patient-Reported Quality of Hospital Discharge Transitions: Results from the SILVER-AMI Study.

BACKGROUND: Transitions from hospital to home in older patients are a high-risk period for adverse outcomes in a population that may have more challenges navigating the healthcare system. There is little information about the association of patient-reported quality of hospital discharge processes with clinical outcomes. OBJECTIVES: We evaluated whether patient-reported quality of hospital discharge processes was associated with emergency department utilization and rehospitalization within 30 days of discharge after hospitalization for acute myocardial infarction (AMI) in older adults. DESIGN: Multi-center, prospective cohort study. PATIENTS: The ComprehenSIVe Evaluation of Risk Factors in Older Patients with Acute Myocardial Infarction (SILVER-AMI) study was a longitudinal study of 3006 adults age 75 and older hospitalized with AMI recruited from 94 academic and community hospitals from across the USA. INTERVENTION: N/A MAIN MEASURES: Patients answered a subset of questions from the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) survey. Readmissions and emergency department utilization within 30 days of discharge were ascertained through medical record review. KEY RESULTS: A total of 2132 patients were included in the study. Patients' median age was 81 years and the response rate to the survey of discharge quality was 87%. Patients who reported being asked about having the help they needed at home were significantly less likely to have emergency room utilization within 30 days of discharge in both the unadjusted (0.65, 95% CI 0.43-0.99) and adjusted (0.65, 95% CI 0.42-0.997) models, though there was no significant association with readmission. CONCLUSION: Report of an assessment of help needed at home during hospitalization was associated with lower post-discharge emergency department utilization. Efforts to improve outcomes after hospital discharge in older patients may benefit from greater focus on assessing need of help at home.

Leave of Absence and Medical Student Placement Into Graduate Medical Education by Race and Ethnicity.

This study examines the association between taking a leave of absence from medical school and placement into graduate medical education (GME) by race and ethnicity.

Impact of Cost Display on Ordering Patterns for Hospital Laboratory and Imaging Services.

BACKGROUND: Physicians "purchase" many health care services on behalf of patients yet remain largely unaware of the costs of these services. Electronic health record (EHR) cost displays may facilitate cost-conscious ordering of health services. OBJECTIVE: To determine whether displaying hospital lab and imaging order costs is associated with changes in the number and costs of orders placed. DESIGN: Quasi-experimental study. PARTICIPANTS: All patients with inpatient or observation encounters across a multi-site health system from April 2013 to October 2015. INTERVENTION: Display of order costs, based on Medicare fee schedules, in the EHR for 1032 lab tests and 1329 imaging tests. MAIN MEASURES: Outcomes for both lab and imaging orders were (1) whether an order was placed during a hospital encounter, (2) whether an order was placed on a given patient-day, (3) number of orders placed per patient-day, and (4) cost of orders placed per patient-day. KEY RESULTS: During the lab and imaging study periods, there were 248,214 and 258,267 encounters, respectively. Cost display implementation was associated with a decreased odds of any lab or imaging being ordered during the encounter (lab adjusted odds ratio [AOR] = 0.97, p = .01; imaging AOR = 0.97, p < .001), a decreased odds of any lab or imaging being ordered on a given patient-day (lab AOR = 0.95, p < .001; imaging AOR = 0.97, p < .001), a decreased number of lab or imaging orders on patient-days with orders (lab adjusted count ratio = 0.93, p < .001; imaging adjusted count ratio = 0.98, p < .001), and a decreased cost of lab orders and increased cost of imaging orders on patient-days with orders (lab adjusted cost ratio = 0.93, p < .001; imaging adjusted cost ratio = 1.02, p = .003). Overall, the intervention was associated with an 8.5 and 1.7% reduction in lab and imaging costs per patient-day, respectively. CONCLUSIONS: Displaying costs within EHR ordering screens was associated with decreases in the number and costs of lab and imaging orders.

A taxonomy and cultural analysis of intra-hospital patient transfers.

Existing research on intra-hospital patient transitions focuses chiefly on handoffs, or exchanges of information, between clinicians. Less is known about patient transfers within hospitals, which include but extend beyond the exchange of information. Using participant observations and interviews at a 1,541-bed, academic, tertiary medical center, we explored the ways in which staff define and understand patient transfers between units. We conducted observations of staff (n = 16) working in four hospital departments and interviewed staff (n = 29) involved in transfers to general medicine floors from either the Emergency Department or the Medical Intensive Care Unit between February and September 2015. The collected data allowed us to understand transfers in the context of several hospital cultural microsystems. Decisions were made through the lens of the specific unit identity to which staff felt they belonged; staff actively strategized to manage workload; and empty beds were treated as a scarce commodity. Staff concepts informed the development of a taxonomy of intra-hospital transfers that includes five categories of activity: disposition, or determining the right floor and bed for the patient; notification to sending and receiving staff of patient assignment, departure and arrival; preparation to send and receive the patient; communication between sending and receiving units; and coordination to ensure that transfer components occur in a timely and seamless manner. This taxonomy widens the study of intra-hospital patient transfers from a communication activity to a complex cultural phenomenon with several categories of activity and views them as part of multidimensional hospital culture, as constructed and understood by staff.

Transition From Mentored to Independent NIH Funding by Gender and Department.

This study uses National Institutes of Health RePORTER data for mentored K awards and R01-equivalent grants to all departments in US schools of medicine to characterize K-award distribution and K-to-R transition by gender and department between 1997 and 2021.

Temporal Trends in Childhood Household Income Among Applicants and Matriculants to Medical School and the Likelihood of Acceptance by Income, 2014-2019.

This study examines trends in childhood household income among applicants and matriculants to medical school and the likelihood of acceptance by income.

Care Transitions Between Hospitals and Skilled Nursing Facilities: Perspectives of Sending and Receiving Providers.

BACKGROUND: One in four Medicare patients hospitalized for acute medical illness is discharged to a skilled nursing facility (SNF); 23% of these patients are readmitted to the hospital within 30 days. The care transition from hospital to SNF is often marked by disruptions in care and poor communication among hospital and SNF providers. A study was conducted to identify the perspectives of sending and receiving providers regarding care transitions between the hospital and the SNF. METHODS: Hospital (N = 25) and SNF (N = 16) providers participated in qualitative interviews assessing patient transfers and experiences with unplanned hospital readmissions. Data were analyzed by a multidisciplinary coding team using the constant comparison method. RESULTS: Four main themes emerged: increasing patient complexity, identifying an optimal care setting, rising financial pressure, and barriers to effective communication. The data highlighted hospital and SNF providers' shared concerns about patient-level risk factors and escalating costs of care. The data also identified issues that separate hospital and SNF providers, including different access to resources and information. CONCLUSION: Hospital and SNF providers are challenged to meet the needs of complex patients. They are asked to establish comprehensive care plans for patients with significant medical and psychosocial issues while navigating tense relationships between health care institutions and rising financial pressures. The concerns of both hospital and SNF providers must be considered in order to develop practices that can improve the quality, cost, and safety of care transitions.

Assessing the reliability of self-reported weight for the management of heart failure: application of fraud detection methods to a randomised trial of telemonitoring.

BACKGROUND: Since clinical management of heart failure relies on weights that are self-reported by the patient, errors in reporting will negatively impact the ability of health care professionals to offer timely and effective preventive care. Errors might often result from rounding, or more generally from individual preferences for numbers ending in certain digits, such as 0 or 5. We apply fraud detection methods to assess preferences for numbers ending in these digits in order to inform medical decision making. METHODS: The Telemonitoring to Improve Heart Failure Outcomes trial tested an approach to telemonitoring that used existing technology; intervention patients (n = 826) were asked to measure their weight daily using a digital scale and to relay measurements using their telephone keypads. First, we estimated the number of weights subject to end-digit preference by dividing the weights by five and comparing the resultant distribution with the uniform distribution. Then, we assessed the characteristics of patients reporting an excess number of weights ending in 0 or 5, adjusting for chance reporting of these values. RESULTS: Of the 114,867 weight readings reported during the trial, 18.6% were affected by end-digit preference, and the likelihood of these errors occurring increased with the number of days that had elapsed since trial enrolment (odds ratio per day: 1.002, p < 0.001). At least 105 patients demonstrated end-digit preference (14.9% of those who submitted data); although statistical significance was limited, a pattern emerged that, compared with other patients, they tended to be younger, male, high school graduates and on more medications. Patients with end-digit preference reported greater variability in weight, and they generated an average 2.9 alerts to the telemonitoring system over the six-month trial period (95% CI, 2.3 to 3.5), compared with 2.3 for other patients (95% CI, 2.2 to 2.5). CONCLUSIONS: As well as overshadowing clinically meaningful changes in weight, end-digit preference can lead to false alerts to telemonitoring systems, which may be associated with unnecessary treatment and alert fatigue. In this trial, end-digit preference was common and became increasingly so over time. By applying fraud detection methods to electronic medical data, it is possible to produce clinically significant information that can inform the design of initiatives to improve the accuracy of reporting. TRIAL REGISTRATION: ClinicalTrials.gov registration number NCT00303212 March 2006.

The Variation in Recovery: Role of Gender on Outcomes of Young AMI Patients (VIRGO) Classification System: A Taxonomy for Young Women With Acute Myocardial Infarction.

BACKGROUND: Current classification schemes for acute myocardial infarction (AMI) may not accommodate the breadth of clinical phenotypes in young women. METHODS AND RESULTS: We developed a novel taxonomy among young adults (≤55 years) with AMI enrolled in the Variation in Recovery: Role of Gender on Outcomes of Young AMI Patients (VIRGO) study. We first classified a subset of patients (n=600) according to the Third Universal Definition of MI using a structured abstraction tool. There was heterogeneity within type 2 AMI, and 54 patients (9%; including 51 of 412 women) were unclassified. Using an inductive approach, we iteratively grouped patients with shared clinical characteristics, with the aims of developing a more inclusive taxonomy that could distinguish unique clinical phenotypes. The final VIRGO taxonomy classified 2802 study participants as follows: class 1, plaque-mediated culprit lesion (82.5% of women; 94.9% of men); class 2, obstructive coronary artery disease with supply-demand mismatch (2a: 1.4% women; 0.9% men) and without supply-demand mismatch (2b: 2.4% women; 1.1% men); class 3, nonobstructive coronary artery disease with supply-demand mismatch (3a: 4.3% women; 0.8% men) and without supply-demand mismatch (3b: 7.0% women; 1.9% men); class 4, other identifiable mechanism (spontaneous dissection, vasospasm, embolism; 1.5% women, 0.2% men); and class 5, undetermined classification (0.8% women, 0.2% men). CONCLUSIONS: Approximately 1 in 8 young women with AMI is unclassified by the Universal Definition of MI. We propose a more inclusive taxonomy that could serve as a framework for understanding biological disease mechanisms, therapeutic efficacy, and prognosis in this population.

"Deterioration to Door Time": An Exploratory Analysis of Delays in Escalation of Care for Hospitalized Patients.

BACKGROUND: Timely escalation of care for patients experiencing clinical deterioration in the inpatient setting is challenging. Deterioration on a general floor has been associated with an increased risk of death, and the early period of deterioration may represent a time during which admission to the intensive care unit (ICU) improves survival. Previous studies examining the association between delay from onset of clinical deterioration to ICU transfer and mortality are few in number and were conducted more than 10 years ago. OBJECTIVE: We aimed to evaluate the impact of delays in the escalation of care among clinically deteriorating patients in the current era of inpatient medicine. DESIGN AND PARTICIPANTS: This was a retrospective cohort study that analyzed data from 793 patients transferred from non-intensive care unit (ICU) inpatient floors to the medical intensive care unit (MICU), from 2011 to 2013 at an urban, tertiary, academic medical center. MAIN MEASURES: "Deterioration to door time (DTDT)" was defined as the time between onset of clinical deterioration (as evidenced by the presence of one or more vital sign indicators including respiratory rate, systolic blood pressure, and heart rate) and arrival in the MICU. KEY RESULTS: In our sample, 64.6 % had delays in care escalation, defined as greater than 4 h based on previous studies. Mortality was significantly increased beginning at a DTDT of 12.1 h after adjusting for age, gender, and severity of illness. CONCLUSIONS: Delays in the escalation of care for clinically deteriorating hospitalized patients remain frequent in the current era of inpatient medicine, and are associated with increased in-hospital mortality. Development of performance measures for the care of clinically deteriorating inpatients remains essential, and timeliness of care escalation deserves further consideration.

Procedure timing as a predictor of inhospital adverse outcomes from implantable cardioverter-defibrillator implantation: insights from the National Cardiovascular Data Registry.

BACKGROUND: Implantable cardioverter-defibrillator (ICD) procedures performed later in the day and on weekends/holidays may be associated with adverse events due to a variety of factors including operator fatigue, handoffs, reduced staffing, and limited resource availability. We sought to determine whether patients implanted with ICDs in the afternoon/evening and on weekends/holidays are at increased risk for adverse events. METHODS: We studied 148,004 first-time ICD recipients in the National Cardiovascular Data Registry-ICD Registry implanted between April 2010 and March 2012. Using hierarchical multivariable logistic regression adjusting for patient, implanting physician, and hospital characteristics, we examined the association between both ICD implant start time and day of week with any complication, a prolonged hospital stay, and mortality. RESULTS: Most ICD implants (52.6%; n = 77,853) were performed in the morning (6 am-12 pm) and during the regular workweek (97.5%; n = 144,266). After multivariable adjustment, ICD recipients implanted in the afternoon (12 pm-5 pm)/evening (5 pm-6 am) compared with the morning experienced a greater odds of any complication (odds ratio [OR] 1.08; 95% CI 1.01-1.15; P = .0168), hospital stay >1 day (OR 1.29; 95% CI 1.25-1.33; P < .0001) but not inhospital death (OR 1.06; 95% CI 0.88-1.27; P = .5322). Implantable cardioverter-defibrillator recipients implanted on weekend/holidays compared with the mid-workweek also experienced a significantly greater odds of hospital stay >1 day (OR 1.40; 95% CI 1.29-1.53; P < .0001), no statistically significant differences in total complications (OR 1.14; 95% CI 0.96-1.36; P = .1371), and a trend toward more inhospital death (OR 1.52; 95% CI 0.98-2.38; P = .0642). CONCLUSIONS: In a large, real-world population, ICD recipients implanted in the afternoon/evening and on weekends/holidays more often experienced adverse events, particularly prolonged hospital stays.

National trends in stroke after acute myocardial infarction among Medicare patients in the United States: 1999 to 2010.

BACKGROUND: Stroke is a common and important adverse event after acute myocardial infarction (AMI) in the elderly. It is unclear whether the risk of stroke after AMI has changed with improvements in treatments and outcomes for AMI in the last decade. METHODS: To assess trends in risk of stroke after AMI, we used a national sample of Medicare data to identify Fee-for-Service patients (n = 2,305,441) aged ≥65 years who were discharged alive after hospitalization for AMI from 1999 to 2010. RESULTS: We identified 57,848 subsequent hospitalizations for ischemic stroke and 4,412 hospitalizations for hemorrhagic stroke within 1 year after AMI. The 1-year rate of ischemic stroke decreased from 3.4% (95% CI 3.3%-3.4%) to 2.6% (2.5%-2.7%; P < .001). The risk-adjusted annual decline was 3% (hazard ratio, 0.97; [0.97-0.98]) and was similar across all age and sex-race groups. The rate of hemorrhagic stroke remained stable at 0.2% and did not differ by subgroups. The 30-day mortality for patients admitted with ischemic stroke after AMI decreased from 19.9% (18.8%-20.9%) to 18.3% (17.1%-19.6%) and from 48.3% (43.0%-53.6%) to 45.7% (40.3%-51.2%) for those admitted with hemorrhagic stroke. We observed a decrease in 1-year mortality from 37.8% (36.5%-39.1%) to 35.3% (33.8%-36.8%) for ischemic stroke and from 66.6% (61.4%-71.5%) to 60.6% (55.1%-65.9%) for hemorrhagic stroke. CONCLUSIONS: From 1999 to 2010, the 1-year risk for ischemic stroke after AMI declined, whereas the risk of hemorrhagic stroke remained unchanged. However, 30-day and 1-year mortality continued to be high.