Analysis of Clinical Criteria for Discharge Among Patients Hospitalized for COVID-19: Development and Validation of a Risk Prediction Model.

BACKGROUND: Patients hospitalized with COVID-19 can clinically deteriorate after a period of initial stability, making optimal timing of discharge a clinical and operational challenge. OBJECTIVE: To determine risks for post-discharge readmission and death among patients hospitalized with COVID-19. DESIGN: Multicenter retrospective observational cohort study, 2020-2021, with 30-day follow-up. PARTICIPANTS: Adults admitted for care of COVID-19 respiratory disease between March 2, 2020, and February 11, 2021, to one of 180 US hospitals affiliated with the HCA Healthcare system. MAIN MEASURES: Readmission to or death at an HCA hospital within 30 days of discharge was assessed. The area under the receiver operating characteristic curve (AUC) was calculated using an internal validation set (33% of the HCA cohort), and external validation was performed using similar data from six academic centers associated with a hospital medicine research network (HOMERuN). KEY RESULTS: The final HCA cohort included 62,195 patients (mean age 61.9 years, 51.9% male), of whom 4704 (7.6%) were readmitted or died within 30 days of discharge. Independent risk factors for death or readmission included fever within 72 h of discharge; tachypnea, tachycardia, or lack of improvement in oxygen requirement in the last 24 h; lymphopenia or thrombocytopenia at the time of discharge; being ≤ 7 days since first positive test for SARS-CoV-2; HOSPITAL readmission risk score ≥ 5; and several comorbidities. Inpatient treatment with remdesivir or anticoagulation were associated with lower odds. The model's AUC for the internal validation set was 0.73 (95% CI 0.71-0.74) and 0.66 (95% CI 0.64 to 0.67) for the external validation set. CONCLUSIONS: This large retrospective study identified several factors associated with post-discharge readmission or death in models which performed with good discrimination. Patients 7 or fewer days since test positivity and who demonstrate potentially reversible risk factors may benefit from delaying discharge until those risk factors resolve.

Metacell-based differential expression analysis identifies cell type specific temporal gene response programs in COVID-19 patient PBMCs.

By profiling gene expression in individual cells, single-cell RNA-sequencing (scRNA-seq) can resolve cellular heterogeneity and cell-type gene expression dynamics. Its application to time-series samples can identify temporal gene programs active in different cell types, for example, immune cells' responses to viral infection. However, current scRNA-seq analysis has limitations. One is the low number of genes detected per cell. The second is insufficient replicates (often 1-2) due to high experimental cost. The third lies in the data analysis-treating individual cells as independent measurements leads to inflated statistics. To address these, we explore a new computational framework, specifically whether "metacells" constructed to maintain cellular heterogeneity within individual cell types (or clusters) can be used as "replicates" for increasing statistical rigor. Toward this, we applied SEACells to a time-series scRNA-seq dataset from peripheral blood mononuclear cells (PBMCs) after SARS-CoV-2 infection to construct metacells, and used them in maSigPro for quadratic regression to find significantly differentially expressed genes (DEGs) over time, followed by clustering expression velocity trends. We showed that such metacells retained greater expression variances and produced more biologically meaningful DEGs compared to either metacells generated randomly or from simple pseudobulk methods. More specifically, this approach correctly identified the known ISG15 interferon response program in almost all PBMC cell types and many DEGs enriched in the previously defined SARS-CoV-2 infection response pathway. It also uncovered additional and more cell type-specific temporal gene expression programs. Overall, our results demonstrate that the metacell-pseudoreplicate strategy could potentially overcome the limitation of 1-2 replicates.

Pragmatic Implementation of Online Obesity Treatment and Maintenance Interventions in Primary Care: A Randomized Clinical Trial.

Importance: Behavioral weight loss interventions have achieved success in primary care; however, to our knowledge, pragmatic implementation of a fully automated treatment that requires little researcher oversight has not been tested. Moreover, weight loss maintenance remains a challenge. Objective: To evaluate the long-term effectiveness of an automated, online, behavioral obesity treatment program (Rx Weight Loss [RxWL]) at 12 months (primary end point) and 24 months when delivered pragmatically in primary care and to compare the effectiveness of 3 weight loss maintenance approaches. Design, Setting, and Participants: This randomized clinical trial of RxWL, an online weight loss program, recruited patients from a Rhode Island primary care network with approximately 60 practices and 100 physicians. Eligible participants were primary care patients aged 18 to 75 years with overweight or obesity who were referred by their nurse care manager and enrolled between 2018 and 2020. All participants were included in the intention-to-treat analysis, whereas only those who engaged with maintenance intervention were included in the per-protocol analysis. Data were analyzed from August 2022 to September 2023. Interventions: All participants were offered the same 3-month weight loss program, with randomization to one of three 9-month maintenance programs: control intervention (monthly online newsletters), monthly intervention (9 monthly video lessons and 1 week of self-monitoring per month), or refresher intervention (an introductory session and two 4-week periods of lessons and self-monitoring at 7 and 10 months). Main Outcomes and Measures: The primary outcome was weight change at 12 months using height and weight data collected from electronic medical records through 24 months. Results: Among the 540 participants (mean [SD] age, 52.8 [13.4] years; 384 females [71.1%]) in the intention-to-treat analysis, mean estimated 3-month weight loss was 3.60 (95% CI, -4.32 to -2.88) kg. At the 12-month primary end point, the amount of weight regained in the monthly (0.37 [95% CI, -0.06 to 0.81] kg) and refresher (0.45 [95% CI, 0.27 to 0.87] kg) maintenance groups was significantly less than that in the newsletter control maintenance group (1.28 [95% CI, 0.85 to 1.71] kg; P = .004). The difference in weight regain between the monthly and refresher maintenance groups was not statistically significant. This pattern persisted at 24 months. In the per-protocol analysis of 253 participants, mean weight loss at the end of the initial 3-month intervention was 6.19 (95% CI, -7.25 to -5.13) kg. Similarly, at 12 months there was less weight regain in the monthly (0.61 kg) and refresher (0.96 kg) maintenance groups than in the newsletter control maintenance group (1.86 kg). Conclusions and Relevance: Results of this randomized clinical trial indicate that pragmatic implementation of a 12-month automated, online, behavioral obesity treatment that includes 9 months of active maintenance produces clinically significant weight loss over 2 years in primary care patients with overweight or obesity. These findings underscore the importance of providing ongoing maintenance intervention to prevent weight regain. Trial Registration: ClinicalTrials.gov Identifier: NCT03488212.

Contextual Factors Influencing the Implementation of a Multifaceted Intervention to Improve Teamwork and Quality for Hospitalized Patients: A Multisite Qualitative Comparative Case Study.

BACKGROUND: Many hospitals have begun to implement models that combine interventions to redesign care for medical patients. These models include localization of physicians to specific units, nurse-physician co-leadership, and interprofessional rounds. Understanding contextual factors, the circumstances surrounding an implementation effort that influence its success, is essential to provide guidance to leaders implementing similar models of care. METHODS: A multisite qualitative comparative case study was conducted with four hospitals in the REdesigning SystEms to Improve Teamwork and Quality for Hospitalized Patients (RESET) study. Researchers conducted observations and semistructured interviews with 40 health care professionals and four implementation mentors. Researchers used inductive qualitative content analysis, reviewed fidelity of implementation trends, and performed cross-case analysis to identify contextual factors and their influence on implementation. RESULTS: Four contextual factors were associated with implementation success: (1) senior hospital leader involvement and organizational support; (2) alignment of RESET with organizational, hospital, and professional group priorities; (3) site leaders' engagement in RESET and relationship with one another; and (4) perceptions of need and intervention benefits among professionals. Implementation was optimal when senior leadership was stable and tangibly involved; organizational, hospital, and group goals were aligned; site leaders were committed and collaborated well; and nurses and physicians perceived a need for and benefits from the interventions. CONCLUSION: Four interrelated contextual factors are associated with the implementation of combined interventions to redesign care for hospitalized medical patients. Hospital leaders should consider these findings prior to implementing similar interventions and be prepared to address challenges related to these factors during implementation.

Effect of Complementary Interventions to Redesign Care on Teamwork and Quality for Hospitalized Medical Patients : A Pragmatic Controlled Trial.

BACKGROUND: Multiple challenges impede interprofessional teamwork and the provision of high-quality care to hospitalized patients. OBJECTIVE: To evaluate the effect of interventions to redesign hospital care delivery on teamwork and patient outcomes. DESIGN: Pragmatic controlled trial. Hospitals selected 1 unit for implementation of interventions and a second to serve as a control. (ClinicalTrials.gov: NCT03745677). SETTING: Medical units at 4 U.S. hospitals. PARTICIPANTS: Health care professionals and hospitalized medical patients. INTERVENTION: Mentored implementation of unit-based physician teams, unit nurse-physician coleadership, enhanced interprofessional rounds, unit-level performance reports, and patient engagement activities. MEASUREMENTS: Primary outcomes were teamwork climate among health care professionals and adverse events experienced by patients. Secondary outcomes were length of stay (LOS), 30-day readmissions, and patient experience. Difference-in-differences (DID) analyses of patient outcomes compared intervention versus control units before and after implementation of interventions. RESULTS: Among 155 professionals who completed pre- and postintervention surveys, the median teamwork climate score was higher after than before the intervention only for nurses (n = 77) (median score, 88.0 [IQR, 77.0 to 91.0] vs. 80.0 [IQR, 70.0 to 89.0]; P = 0.022). Among 3773 patients, a greater percentage had at least 1 adverse event after compared with before the intervention on control units (change, 1.61 percentage points [95% CI, 0.01 to 3.22 percentage points]). A similar percentage of patients had at least 1 adverse event after compared with before the intervention on intervention units (change, 0.43 percentage point [CI, -1.25 to 2.12 percentage points]). A DID analysis of adverse events did not show a significant difference in change (adjusted DID, -0.92 percentage point [CI, -2.49 to 0.64 percentage point]; P = 0.25). Similarly, there were no differences in LOS, readmissions, or patient experience. LIMITATION: Adverse events occurred less frequently than anticipated, limiting statistical power. CONCLUSION: Despite improved teamwork climate among nurses, interventions to redesign care for hospitalized patients were not associated with improved patient outcomes. PRIMARY FUNDING SOURCE: Agency for Healthcare Research and Quality.

How and why might interprofessional patient- and family-centered rounds improve outcomes among healthcare teams and hospitalized patients? A conceptual framework informed by scoping and narrative literature review methods.

Poor communication within healthcare contributes to inefficiencies, medical errors, conflict, and other adverse outcomes. A promising model to improve outcomes resulting from poor communication in the inpatient hospital setting is Interprofessional Patient- and Family-Centered rounds (IPFCR). IPFCR brings two or more health professions together with hospitalized patients and families as part of a consistent, team-based routine to share information and collaboratively arrive at a daily plan of care. A growing body of literature focuses on implementation and outcomes of IPFCR to improve healthcare quality and team and patient outcomes. Most studies report positive changes following IPFCR implementation. However, conceptual frameworks and theoretical models are lacking in the IPFCR literature and represent a major gap that needs to be addressed to move this field forward. The purpose of this two-part review is to propose a conceptual framework of how IPFCR works. The goal is to articulate a framework that can be tested in subsequent research studies. Published IPFCR literature and relevant theories and frameworks were examined and synthesized to explore how IPFCR works, to situate IPFCR in relation to existing models and frameworks, and to postulate core components and underlying causal mechanisms. A preliminary, context-specific, conceptual framework is proposed illustrating interrelationships between four core components of IPFCR (interprofessional approach, intentional patient and family engagement, rounding structure, shared development of a daily care plan), improvements in communication, and better outcomes.

Prevalence and Causes of Diagnostic Errors in Hospitalized Patients Under Investigation for COVID-19.

BACKGROUND: The COVID-19 pandemic required clinicians to care for a disease with evolving characteristics while also adhering to care changes (e.g., physical distancing practices) that might lead to diagnostic errors (DEs). OBJECTIVE: To determine the frequency of DEs and their causes among patients hospitalized under investigation (PUI) for COVID-19. DESIGN: Retrospective cohort. SETTING: Eight medical centers affiliated with the Hospital Medicine ReEngineering Network (HOMERuN). TARGET POPULATION: Adults hospitalized under investigation (PUI) for COVID-19 infection between February and July 2020. MEASUREMENTS: We randomly selected up to 8 cases per site per month for review, with each case reviewed by two clinicians to determine whether a DE (defined as a missed or delayed diagnosis) occurred, and whether any diagnostic process faults took place. We used bivariable statistics to compare patients with and without DE and multivariable models to determine which process faults or patient factors were associated with DEs. RESULTS: Two hundred and fifty-seven patient charts underwent review, of which 36 (14%) had a diagnostic error. Patients with and without DE were statistically similar in terms of socioeconomic factors, comorbidities, risk factors for COVID-19, and COVID-19 test turnaround time and eventual positivity. Most common diagnostic process faults contributing to DE were problems with clinical assessment, testing choices, history taking, and physical examination (all p < 0.01). Diagnostic process faults associated with policies and procedures related to COVID-19 were not associated with DE risk. Fourteen patients (35.9% of patients with errors and 5.4% overall) suffered harm or death due to diagnostic error. LIMITATIONS: Results are limited by available documentation and do not capture communication between providers and patients. CONCLUSION: Among PUI patients, DEs were common and not associated with pandemic-related care changes, suggesting the importance of more general diagnostic process gaps in error propagation.

Development of the Illinois Surgical Quality Improvement Collaborative (ISQIC): Implementing 21 Components to Catalyze Statewide Improvement in Surgical Care.

INTRODUCTION: In 2014, 56 Illinois hospitals came together to form a unique learning collaborative, the Illinois Surgical Quality Improvement Collaborative (ISQIC). Our objectives are to provide an overview of the first three years of ISQIC focused on (1) how the collaborative was formed and funded, (2) the 21 strategies implemented to support quality improvement (QI), (3) collaborative sustainment, and (4) how the collaborative acts as a platform for innovative QI research. METHODS: ISQIC includes 21 components to facilitate QI that target the hospital, the surgical QI team, and the peri-operative microsystem. The components were developed from available evidence, a detailed needs assessment of the hospitals, reviewing experiences from prior surgical and non-surgical QI Collaboratives, and interviews with QI experts. The components comprise 5 domains: guided implementation (e.g., mentors, coaches, statewide QI projects), education (e.g., process improvement (PI) curriculum), hospital- and surgeon-level comparative performance reports (e.g., process, outcomes, costs), networking (e.g., forums to share QI experiences and best practices), and funding (e.g., for the overall program, pilot grants, and bonus payments for improvement). RESULTS: Through implementation of the 21 novel ISQIC components, hospitals were equipped to use their data to successfully implement QI initiatives and improve care. Formal (QI/PI) training, mentoring, and coaching were undertaken by the hospitals as they worked to implement solutions. Hospitals received funding for the program and were able to work together on statewide quality initiatives. Lessons learned at one hospital were shared with all participating hospitals through conferences, webinars, and toolkits to facilitate learning from each other with a common goal of making care better and safer for the surgical patient in Illinois. Over the first three years, surgical outcomes improved in Illinois. DISCUSSION: The first three years of ISQIC improved care for surgical patients across Illinois and allowed hospitals to see the value of participating in a surgical QI learning collaborative without having to make the initial financial investment themselves. Given the strong support and buy-in from the hospitals, ISQIC has continued beyond the initial three years and continues to support QI across Illinois hospitals.

Implementation of pharmacogenomics into inpatient general medicine.

Pharmacogenomics is a crucial piece of personalized medicine. Preemptive pharmacogenomic testing is only used sparsely in the inpatient setting and there are few models to date for fostering the adoption of pharmacogenomic treatment in the inpatient setting. We created a multi-institutional project in Chicago to enable the translation of pharmacogenomics into inpatient practice. We are reporting our implementation process and barriers we encountered with solutions. This study, 'Implementation of Point-of-Care Pharmacogenomic Decision Support Accounting for Minority Disparities', sought to implement pharmacogenomics into inpatient practice at three sites: The University of Chicago, Northwestern Memorial Hospital, and the University of Illinois at Chicago. This study involved enrolling African American adult patients for preemptive genotyping across a panel of actionable germline variants predicting drug response or toxicity risk. We report our approach to implementation and the barriers we encountered engaging hospitalists and general medical providers in the inpatient pharmacogenomic intervention. Our strategies included: a streamlined delivery system for pharmacogenomic information, attendance at hospital medicine section meetings, use of physician and pharmacist champions, focus on hospitalists' care and optimizing system function to fit their workflow, hand-offs, and dealing with hospitalists turnover. Our work provides insights into strategies for the initial engagement of inpatient general medicine providers that we hope will benefit other institutions seeking to implement pharmacogenomics in the inpatient setting.

Characterization of a polyclonal antibody that is highly selective for the D-isoAsp-25 variant of mammalian histone H2B.

Approximately 12% of histone H2B molecules in mammalian brain contain a modification wherein Asp25 is present as the D-enantiomer, and is mostly linked to Gly26 via the side-chain carboxyl. Here we (1) demonstrate the high specificity of a polyclonal antibody to this modification, and (2) use this Ab to demonstrate that this modification is enriched in brain relative to liver, thymus, and HeLa cells.

Barriers to Adoption of a Secure Text Messaging System: a Qualitative Study of Practicing Clinicians.

BACKGROUND: Secure text messaging systems (STMS) offer HIPAA-compliant text messaging and mobile phone call functionalities that are more efficient than traditional paging. Although some studies associate improved provider satisfaction and healthcare delivery with STMS use, healthcare organizations continue to struggle with achieving widespread and sustained STMS adoption. OBJECTIVE: To understand the barriers to adoption of an STMS among physicians and advanced practice providers (APPs). DESIGN: We qualitatively analyzed free-text comments that clinicians (physicians and APPs) across a large healthcare organization offered on a survey about STMS perceptions. PARTICIPANTS: A total of 1110 clinicians who provided a free-text comment in response to one of four open-ended survey questions. APPROACH: Data were analyzed using a grounded theory approach and constant comparative method to characterize responses and identify themes. KEY RESULTS: The overall survey response rate was 20.5% (n = 1254). Clinicians familiar with the STMS frequently believed the STMS was unnecessary (existing tools worked well enough) and would overburden them with more communications. They were frustrated that the STMS app had to be downloaded onto their personal mobile device and that it drained their battery. Ambiguity regarding who was reachable in the app led to missed messages and drove distrust of the STMS. Clinicians saw the exclusion of other care team members (e.g., nurses) from the STMS as problematic; however, some clinicians at hospitals with expanded STMS access complained of excessive messages. Secondhand reports of several of these barriers prevented new users from downloading the app and contributed to ongoing low use. CONCLUSIONS: Clinicians are reluctant to adopt an STMS that does not offer a clear and trustworthy communication benefit to offset its potential burden and intrusiveness. Our findings can be incorporated into STMS implementation strategies that maximize active users by targeting and mitigating barriers to adoption.

Effect of COVID-19 on the implementation of a multifaceted intervention to improve teamwork and quality for hospitalized patients: a qualitative interview study.

BACKGROUND: Healthcare organizations made major adjustments to deliver care during the COVID pandemic, yet little is known about how these adjustments shaped ongoing quality and safety improvement efforts. We aimed to understand how COVID affected four U.S. hospitals' prospective implementation efforts in an ongoing quality improvement initiative, the REdesigning SystEms to Improve Teamwork and Quality for Hospitalized Patients (RESET) project, which implemented complementary interventions to redesign systems of care for medical patients. METHODS: We conducted individual semi-structured interviews with 40 healthcare professionals to determine how COVID influenced RESET implementation. We used conventional qualitative content analysis to inductively code transcripts and identify themes in MAXQDA 2020. RESULTS: We identified three overarching themes and nine sub-themes. The three themes were (1) COVID exacerbated existing problems and created new ones. (2) RESET and other quality improvement efforts were not the priority during the pandemic. (3) Fidelity of RESET implementation regressed. CONCLUSION: COVID had a profound impact on the implementation of a multifaceted intervention to improve quality and teamwork in four hospitals. Notably, COVID led to a diversion of attention and effort away from quality improvement efforts, like RESET, and sites varied in their ability to renew efforts over time. Our findings help explain how COVID adversely affected hospitals' quality improvement efforts throughout the pandemic and support the need for research to identify elements important for fostering hospital resilience.

Pragmatic implementation of a fully automated online obesity treatment in primary care.

OBJECTIVE: Behavioral obesity treatment implemented in primary care is efficacious but typically involves face-to-face or phone contact. This study evaluated enrollment, engagement, and 12-week weight loss in a fully automated online behavioral weight-loss intervention implemented pragmatically in a primary care network. METHODS: As part of routine primary care, providers and nurse care managers offered a no-cost online obesity treatment program to 1,721 patients. Of these, 721 consented and were eligible (aged 18-75 years with BMI ≥ 25 kg/m2 and internet access), and 464 started the program. The program included 12 weekly online lessons, a self-monitoring platform, and automated feedback. RESULTS: More than one-quarter of patients who were offered the program (26%) initiated treatment. In intent-to-treat analyses using all data available, mean 12-week weight change was -5.10% (SE = 0.21). Patients who submitted their weights on all 12 weeks (37% of 464) lost an estimated 7.2% body weight versus 3.4% in those submitting less frequently. CONCLUSIONS: This fully automated online program, implemented into the routine workflow of a primary care setting without any human counseling or researcher involvement, produced clinically meaningful short-term weight loss. Greater program engagement was associated with greater weight loss; efforts are needed to understand barriers to engagement.

Neurosurgery Lectures Benefit from a Flipped Class Approach.

BACKGROUND: In a flipped classroom, students learn lecture material before class and then participate in active learning during in-person sessions. This study examines preferences for flipped classroom activities during a neurosurgery presentation on traumatic brain injury. METHODS: Two hundred twenty-five third- and fourth-year medical students on their core neurology rotation watched an online podcast about traumatic brain injury before meeting for in-person, active learning activities with a neurological surgeon. Before and after the class, students were given rank-based surveys with an optional section for comments. The initial survey assessed preference for specific active learning activities, and the final survey assessed satisfaction with the experience. The students also answered an online 20-question postlecture test as part of the standard neurology class assessment. RESULTS: Every student scored over 90% on the postlecture test. Of the 81 students who answered the first survey, most students (83.95%) strongly preferred or preferred case scenarios with group discussion. The average Likert score for case scenario preference (4.37/5) was significantly higher than the score for all other activities (P < 0.05). Of the 207 students who answered the second survey, 80.19% of students reported that they would probably or definitely like to see more flipped classroom activities. CONCLUSIONS: Medical students highly preferred case scenarios because according to their comments, this method was relevant to real-life situations and led to higher information retention. This information suggests that the flipped classroom model for neurosurgical-based lectures is preferred, is beneficial, and should incorporate case scenarios. This methodology may also apply to neurosurgical residency training.

Patterns of utilization and evaluation of advanced practice providers on academic hospital medicine teams: A national survey.

This survey study aimed to provide a contemporary appraisal of advanced practice provider (APP) practice and to summarize perceptions of the benefits and challenges of integrating APPs into adult academic hospital medicine (HM) groups. We surveyed leaders of academic HM groups. We received responses from 43 of 86 groups (50%) surveyed. Thirty-four (79%) reported that they employed APPs. In most groups (85%), APPs were reported to perform daily tasks of patient care, including rounding and documentation. Less than half of the groups reported that APPs had completed HM-specific postgraduate training. The reported benefits of APPs included improved perceived quality of care and greater volume of patients that could be seen. Reported challenges included training requirements and support for new hires. Further investigation is needed to determine which APP team structures deliver the highest quality care. There may be a role for expanding standardized competency-based postgraduate training for APPs planning to practice HM.

Effect of an attending nurse on timeliness of discharge, patient satisfaction, and readmission.

AIMS: To improve the timeliness and quality of discharge for patients by creating the role of the attending nurse. BACKGROUND: Discharge time affects hospital throughput and patient satisfaction. Bedside nurses and hospitalists have competing priorities that can hinder performing timely, high-quality discharges. METHODS: This retrospective analysis evaluated the effect of an attending nurse paired with a hospital medicine physician on discharge time and quality. A total of 8329 patient discharges were eligible for the study, and propensity score matching yielded 2715 matched pairs. RESULTS: In the post-intervention matched cohort, the percentage of patients discharged before 2 PM increased from 34.4% to 45.9% (p < .01), and the median discharge time moved 48 min earlier. In the unmatched cohort, patient satisfaction with the discharge process improved on several questions. While length of stay was not affected, the 30-day readmission rate did increase from 8.9% to 10.7% (p = .02). CONCLUSION: With the new attending nurse role, we positively impacted throughput by shifting discharge times earlier in the day while improving patient satisfaction. Length of stay stayed the same but the 30-day readmission rate increased. IMPLICATIONS FOR NURSING MANAGEMENT: Our multidisciplinary approach to the problem of late discharge times led to the creation of a new role. This role made ownership of discharge tasks clear and reduced competing priorities, freeing up nurses and hospitalists to perform other care-related responsibilities without holding up discharges.

Men and Women Pursue Nonlinear Career Paths, but Impacts Differ: a Cross-Sectional Study of Academic Hospitalists.

BACKGROUND: Nonlinear career paths are increasingly common. Women in academia pursuing nonlinear career paths experience negative impacts on career trajectory. No published studies have examined how pursuit of nonlinear career paths might perpetuate gender inequities within academic hospital medicine. OBJECTIVE: (1) Compare the frequency of nonlinear career paths by gender among academic hospitalists; (2) assess the perceived impact of two types of nonlinear career paths-extended leave (EL) and non-traditional work arrangements (NTWA) on hospitalists' personal lives and careers. DESIGN, SETTING, AND PARTICIPANTS: Cross-sectional descriptive survey study of adult hospitalist physicians in three academic centers within the USA. INTERVENTION: Electronic survey including closed- and open-ended items assessing respondent utilization of and experiences with nonlinear career paths. MAIN OUTCOMES AND MEASURES: (1) Associations between EL and demographic variables as well as gender differences in leave length and NTWA strategies using Fisher's exact test; 2) grounded theory qualitative analysis of open-text responses. KEY RESULTS: Compared with men, women reported taking EL more often (p = 0.035) and for longer periods (p = 0.002). Men and women reported taking NTWA at similar rates. Women reported negative impacts of EL within domains of personal life, career, well-being, and work-life integration whereas men only reported negative impacts to career. Men and women described positive impacts of NTWA across all domains. CONCLUSIONS: Women academic hospitalists reported taking EL more often than men and experienced disproportionately more adverse impacts to personal lives and careers. Surprisingly, men reported taking NTWA to address burnout and childbirth at similar rates to women. Our findings lay the groundwork for additional exploration of cultural and policy interventions, particularly improved paid leave policies.

An Intensive Intervention to Reduce Readmissions for Frequently Hospitalized Patients: the CHAMP Randomized Controlled Trial.

BACKGROUND: A small number of patients are disproportionally readmitted to hospitals. The Complex High Admission Management Program (CHAMP) was established as a multidisciplinary program to improve continuity of care and reduce readmissions for frequently hospitalized patients. OBJECTIVE: To compare hospital utilization metrics among patients enrolled in CHAMP and usual care. DESIGN: Pragmatic randomized controlled trial. PARTICIPANTS: Inclusion criteria were as follows: 3 or more, 30-day inpatient readmissions in the previous year; or 2 inpatient readmissions plus either a referral or 3 observation admissions in previous 6 months. INTERVENTIONS: Patients randomized to CHAMP were managed by an interdisciplinary team including social work, physicians, and pharmacists. The CHAMP team used comprehensive care planning and inpatient, outpatient, and community visits to address both medical and social needs. Control patients were randomized to usual care and contacted 18 months after initial identification if still eligible. MAIN MEASURES: Primary outcome was number of 30-day inpatient readmissions 180 days following enrollment. Secondary outcomes were number of hospital admissions, total hospital days, emergency department visits, and outpatient clinic visits 180 days after enrollment. KEY RESULTS: There were 75 patients enrolled in CHAMP, 76 in control. Groups were similar in demographic characteristics and baseline readmissions. At 180 days following enrollment, CHAMP patients had more inpatient 30-day readmissions [CHAMP incidence rate 1.3 (95% CI 0.9-1.8) vs. control 0.8 (95% CI 0.5-1.1), p=0.04], though both groups had fewer readmissions compared to 180 days prior to enrollment. We found no differences in secondary outcomes. CONCLUSIONS: Frequently hospitalized patients experienced reductions in utilization over time. Though most outcomes showed no difference, CHAMP was associated with higher readmissions compared to a control group, possibly due to consolidation of care at a single hospital. Future research should seek to identify subsets of patients with persistently high utilization for whom tailored interventions may be beneficial. TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT03097640; https://clinicaltrials.gov/ct2/show/NCT03097640.