Faculty Development in Academic Hospital Medicine: a Scoping Review.

This scoping review sought to identify and describe the state of academic faculty development programs in hospital medicine and other specialties. We reviewed faculty development content, structure, metrics of success including facilitators, barriers, and sustainability to create a framework and inform hospital medicine leadership and faculty development initiatives. We completed a systematic search of peer-reviewed literature and searched Ovid MEDLINE ALL (1946 to June 17, 2021) and Embase (via Elsevier, 1947 to June 17, 2021). Twenty-two studies were included in the final review, with wide heterogeneity in program design, program description, outcomes, and study design. Program design included a combination of didactics, workshops, and community or networking events; half of the studies included mentorship or coaching for faculty. Thirteen studies included program description and institutional experience without reported outcomes while eight studies included quantitative analysis and mixed methods results. Barriers to program success included limited time and support for faculty attendance, conflicting clinical commitments, and lack of mentor availability. Facilitators included allotted funding and time for faculty participation, formal mentoring and coaching opportunities, and a structured curriculum with focused skill development supporting faculty priorities. We identified heterogeneous historical studies addressing faculty development across highly variable program design, intervention, faculty targeted, and outcomes assessed. Common themes emerged, including the need for program structure and support, aligning areas of skill development with faculty values, and longitudinal mentoring/coaching. Programs require dedicated program leadership, support for faculty time and participation, curricula focused on skills development, and mentoring and sponsorship.

A unit-based, multi-center evaluation of adopting mobility measures and daily mobility goals in the hospital setting.

BACKGROUND: Promoting patient mobility helps improve patient outcomes, but mobility status is not widely tracked nor do patients have specific individualized mobility goals. PURPOSE: We evaluated nursing adoption of mobility measures and daily mobility goal achievement using the Johns Hopkins Mobility Goal Calculator (JH-MGC), a tool to guide an individualized patient mobility goal based on the level of mobility capacity. METHOD: Built on a translating research into practice framework, the Johns Hopkins Activity and Mobility Promotion (JH-AMP) program was the vehicle to promote use of the mobility measures and the JH-MGC. We evaluated a large-scale implementation effort of this program on 23 units across two medical centers. FINDINGS: Units significantly improved documentation compliance to mobility measures and achieving daily mobility goals. Units with the highest documentation compliance rates had higher rates of daily mobility goal achievement, especially for longer distance ambulation goals. DISCUSSION: The JH-AMP program improved adoption of mobility status tracking and higher nursing inpatient mobility levels.

Characterizing the Relationship Between Payer Mix and Diagnostic Intensity at the Hospital Level.

BACKGROUND: Overuse of diagnostic testing in the hospital setting contributes to high healthcare costs, yet the drivers of diagnostic overuse in this setting are not well-understood. If financial incentives play an important role in perpetuating hospital-level diagnostic overuse, then hospitals with favorable payer mixes might be more likely to exhibit high levels of diagnostic intensity. OBJECTIVES: To apply a previously developed hospital-level diagnostic intensity index to characterize the relationship between payer mix and diagnostic intensity. DESIGN: Cross-sectional analysis SUBJECTS: Acute care hospitals in seven states MAIN MEASURES: We utilized a diagnostic intensity index to characterize the level of diagnostic intensity at a given hospital (with higher index values and tertiles signifying higher levels of diagnostic intensity). We used two measures of payer mix: (1) a hospital's ratio of discharges with Medicare and Medicaid as the primary payer to those with a commercial insurer as the primary payer, (2) a hospital's disproportionate share hospital ratio. KEY RESULTS: A 5-fold increase in the Medicare or Medicaid to commercial insurance ratio was associated with an adjusted odds ratio of 0.24 (95% CI 0.16-0.36) of being in a higher tertile of the intensity index. A ten percentage point increase in the disproportionate share hospital ratio was associated with an adjusted odds ratio of 0.56 (95% CI 0.42-0.74) of being in a higher intensity index tertile. CONCLUSIONS: At the hospital level, a favorable payer mix is associated with higher diagnostic intensity. This suggests that financial incentives may be a driver of diagnostic overuse.

Bed downtime: the novel use of a quality metric allows inpatient providers to improve patient flow from the emergency department.

BACKGROUND: Emergency department (ED) boarding time is associated with increased length of stay (LOS) and inpatient mortality. Despite the documented impact of ED boarding on inpatient outcomes, a disparity continues to exist between the attention paid to the issue by inpatient and ED providers. A perceived lack of high yield strategies to address ED boarding from the perspective of the inpatient provider may discourage involvement in improvement initiatives on the subject. As such, further work is needed to identify inpatient metrics and strategies to address patient flow problems, and which may improve ED boarding time. METHODS: After initial system analysis, our multidisciplinary quality improvement (QI) group defined the process time metric 'bed downtime'-the time from which a bed is vacated by a discharged patient to the time an ED patient is assigned to that bed. Using the Lean Sigma QI approach, this metric was targeted for improvement on the internal medicine hospitalist service at a tertiary care academic medical centre. INTERVENTIONS: Interventions included improving inpatient provider awareness of the problem, real-time provider notification of empty beds, a weekly retrospective emailed performance dashboard and the creation of a guideline document for admission procedures. RESULTS: This package of interventions was associated with a 125 min reduction in mean bed downtime for incoming ED patients (254 min to 129 min) admitted to the intervention unit. CONCLUSION: Use of the bed downtime metric as a QI target was associated with marked improvements in process time during our project. The use of this metric may enhance the ability of inpatient providers to participate in QI efforts to improve patient flow from the ED. Further study is needed to determine if use of the metric may be effective at reducing boarding time without requiring alterations to LOS or discharge patterns.

Association between ambulatory status and call bell use in hospitalized patients-A retrospective cohort study.

AIM: Characterize the relationship between patient ambulatory status and in-hospital call bell use. BACKGROUND: Although call bells are frequently used by patients to request help, the relationship between physical functioning and call bell use has not been evaluated. METHODS: Retrospective cohort study of 944 neuroscience patients hospitalized in a large academic urban medical centre between April 1, 2014 and August 1, 2014. We conducted multiple linear regression analyses with number of daily call bells from each patient as the primary outcome and patients' average ambulation status as the primary exposure variable. RESULTS: The mean number of daily call bell requests for all patients was 6.9 (6.1), for ambulatory patients 5.6 (4.8), and for non-ambulatory patients, it was 7.7 (6.6). Compared with non-ambulatory patients, ambulatory patients had a mean reduction in call bell use by 1.7 (95% CI 2.5 to -0.93, p < .001) calls per day. In a post hoc analysis, patients who could walk >250 feet had 5 fewer daily call bells than patients who were able to perform in-bed mobility. CONCLUSION: Ambulatory patients use their call bells less frequently than non-ambulatory patients. IMPLICATIONS FOR NURSING MANAGEMENT: Frequent use of call bells by non-ambulatory patients can place additional demands on nursing staff; patient mobility status should be considered in nurse workload/patient assignment.

Characteristics of Syncope Admissions Among Hospitals of Varying Teaching Intensity.

OBJECTIVES: Previous work suggests that hospitals' teaching status is correlated with readmission rates, cost of care, and mortality. The degree to which teaching status is associated with the management of syncope has not been studied extensively. We sought to characterize the relation between teaching status and inpatient syncope management. METHODS: We created regression models to characterize the relation between teaching status and cardiac ischemic evaluations (cardiac catheterization and/or stress test) during syncope admissions. Admissions with a primary diagnosis of syncope in Maryland and Kentucky between 2007 and 2014 were included. RESULTS: The dataset included 71,341 syncope admissions at 151 hospitals. Overall, 15% of patients had an ischemic evaluation. There was a significantly lower likelihood of an ischemic evaluation at major teaching hospitals relative to nonteaching hospitals (adjusted odds ratio 0.75, 95% confidence interval 0.71-0.79), but a higher likelihood of an ischemic evaluation at minor teaching hospitals (adjusted odds ratio 1.21, 95% confidence interval 1.16-1.25). CONCLUSIONS: By definition, the syncope admissions included were unexplained or idiopathic cases, and thus likely to be lower-risk syncope cases. Those with a known etiology are coded by the cause of syncope, as dictated by coding guidelines. It is likely that many of these ischemic evaluations represent low-value care. Financial incentives and processes of care at major teaching hospitals may be driving this trend, and efforts should be made to better understand and replicate these at minor teaching and nonteaching hospitals.

Improving Outcomes After Hospitalization: A Prospective Observational Multicenter Evaluation of Care Coordination Strategies for Reducing 30-Day Readmissions to Maryland Hospitals.

BACKGROUND: Patients frequently experience suboptimal transitions from the hospital to the community, which can increase the likelihood of readmission. It is not known which care coordination services can lead to improvements in readmission rates. OBJECTIVE: To evaluate the effects of two care coordination interventions on 30-day readmission rates. DESIGN: Prospective multicenter observational study of hospitalized patients eligible for two care coordination services between January 1, 2013, and October 31, 2015. Readmission rates were compared for patients who received each care coordination intervention versus those who did not using multivariable generalized estimating equation logistic regression models. PARTICIPANTS: A total of 25,628 patients hospitalized in medicine, neurosciences, or surgical sciences units. INTERVENTIONS: Patients discharged home and deemed to be at high risk for readmission were assigned a nurse Transition Guide (TG) for 30 days post-discharge. All other patients were assigned the Patient Access Line (PAL) intervention, which provided a post-discharge phone call from a registered nurse. SETTING: Two large academic hospitals in Baltimore, MD. MAIN MEASURES: Thirty-day all-cause readmission to any Maryland hospital. KEY RESULTS: Among all patients, 14.2% (2409/16,993) of those referred for the PAL intervention and 22.8% (1973/8635) of those referred for the TG intervention were readmitted. PAL-referred patients who did not receive the intervention had an adjusted odds ratio (aOR) for readmission of 1.27 (95% confidence interval [95% CI] 1.12-1.44, p < 0.001) compared with patients who did. TG-referred patients who did not receive the TG intervention had an aOR of 1.83 (95% CI 1.60-2.10, p < 0.001) compared with patients who received the intervention. Younger age, male sex, having more comorbidities, and being discharged from a medicine unit were associated with not receiving an assigned intervention. These characteristics were also associated with higher readmission rates. CONCLUSIONS: PAL and TG care coordination interventions were associated with lower rates of 30-day readmission. Our findings underscore the importance of determining the appropriate intervention for the hardest-to-reach patients, who are also at the highest risk of being readmitted.

Patterns of Hospital Performance on the Hospital-Wide 30-Day Readmission Metric: Is the Playing Field Level?

BACKGROUND: Hospital performance on the 30-day hospital-wide readmission (HWR) metric as calculated by the Centers for Medicare and Medicaid Services (CMS) is currently reported as a quality measure. Focusing on patient-level factors may provide an incomplete picture of readmission risk at the hospital level to explain variations in hospital readmission rates. OBJECTIVE: To evaluate and quantify hospital-level characteristics that track with hospital performance on the current HWR metric. DESIGN: Retrospective cohort study. SETTING/PATIENTS: A total of 4785 US hospitals. METRICS: We linked publically available data on individual hospitals published by CMS on patient-level adjusted 30-day HWR rates from July 1, 2011, through June 30, 2014, to the 2014 American Hospital Association annual survey. Primary outcome was performance in the worst CMS-calculated HWR quartile. Primary hospital-level exposure variables were defined as: size (total number of beds), safety net status (top quartile of disproportionate share), academic status [member of the Association of American Medical Colleges (AAMC)], National Cancer Institute Comprehensive Cancer Center (NCI-CCC) status, and hospital services offered (e.g., transplant, hospice, emergency department). Multilevel regression was used to evaluate the association between 30-day HWR and the hospital-level factors. RESULTS: Hospital-level characteristics significantly associated with performing in the worst CMS-calculated HWR quartile included: safety net status [adjusted odds ratio (aOR) 1.99, 95% confidence interval (95% CI) 1.61-2.45, p < 0.001], large size (> 400 beds, aOR 1.42, 95% CI 1.07-1.90, p = 0.016), AAMC alone status (aOR 1.95, 95% CI 1.35-2.83, p < 0.001), and AAMC plus NCI-CCC status (aOR 5.16, 95% CI 2.58-10.31, p < 0.001). Hospitals with more critical care beds (aOR 1.26, 95% CI 1.02-1.56, p = 0.033), those with transplant services (aOR 2.80, 95% CI 1.48-5.31,p = 0.001), and those with emergency room services (aOR 3.37, 95% CI 1.12-10.15, p = 0.031) demonstrated significantly worse HWR performance. Hospice service (aOR 0.64, 95% CI 0.50-0.82, p < 0.001) and having a higher proportion of total discharges being surgical cases (aOR 0.62, 95% CI 0.50-0.76, p < 0.001) were associated with better performance. LIMITATION: The study approach was not intended to be an alternate readmission metric to compete with the existing CMS metric, which would require a re-examination of patient-level data combined with hospital-level data. CONCLUSION: A number of hospital-level characteristics (such as academic tertiary care center status) were significantly associated with worse performance on the CMS-calculated HWR metric, which may have important health policy implications. Until the reasons for readmission variability can be addressed, reporting the current HWR metric as an indicator of hospital quality should be reevaluated.

A novel bedside cardiopulmonary physical diagnosis curriculum for internal medicine postgraduate training.

BACKGROUND: Physicians spend less time at the bedside in the modern hospital setting which has contributed to a decline in physical diagnosis, and in particular, cardiopulmonary examination skills. This trend may be a source of diagnostic error and threatens to erode the patient-physician relationship. We created a new bedside cardiopulmonary physical diagnosis curriculum and assessed its effects on post-graduate year-1 (PGY-1; interns) attitudes, confidence and skill. METHODS: One hundred five internal medicine interns in a large U.S. internal medicine residency program participated in the Advancing Bedside Cardiopulmonary Examination Skills (ACE) curriculum while rotating on a general medicine inpatient service between 2015 and 2017. Teaching sessions included exam demonstrations using healthy volunteers and real patients, imaging didactics, computer learning/high-fidelity simulation, and bedside teaching with experienced clinicians. Primary outcomes were attitudes, confidence and skill in the cardiopulmonary physical exam as determined by a self-assessment survey, and a validated online cardiovascular examination (CE). RESULTS: Interns who participated in ACE (ACE interns) by mid-year more strongly agreed they had received adequate training in the cardiopulmonary exam compared with non-ACE interns. ACE interns were more confident than non-ACE interns in performing a cardiac exam, assessing the jugular venous pressure, distinguishing 'a' from 'v' waves, and classifying systolic murmurs as crescendo-decrescendo or holosystolic. Only ACE interns had a significant improvement in score on the mid-year CE. CONCLUSIONS: A comprehensive bedside cardiopulmonary physical diagnosis curriculum improved trainee attitudes, confidence and skill in the cardiopulmonary examination. These results provide an opportunity to re-examine the way physical examination is taught and assessed in residency training programs.

Decision support tool use in colorectal surgery: what is the role?

BACKGROUND: Decision support tools prioritizing transitional care can help decrease medical readmissions but little evidence exists within surgical specialties. MATERIALS AND METHODS: This study evaluated the use of early screen for discharge planning and discharge decision support system screening tools or selective multidisciplinary clinical evaluation for targeting post-acute care interventions among higher risk colorectal surgery patients based on 30-d readmission status. Patients with positive screening tool scores underwent standard discharge planning education and evaluation during index operation hospitalization and were referred for targeted post-acute interventions; patients with negative screening tool scores were further clinically evaluated for selective referral for post-acute interventions. RESULTS: We identified 300 colorectal surgery patients; 30.3% (n = 91) of patients had a positive screening score (early screen for discharge planning and/or discharge decision support system). Positive screening scores did not correlate with hospital readmission (35% of readmitted patients versus 29% of non-readmitted had a positive screen; P = 0.424). After negative screening scores, selective referral based on clinical assessment for postdischarge interventions helped to concentrate resources in patients who were later readmitted. Index hospitalization complications were significantly associated with positive screening tool scores whereas postdischarge complications were most predictive of readmission. CONCLUSIONS: Among colorectal surgery patients, selective clinical referrals appeared to be the best method for targeting post-acute interventions in patients at higher risk for readmission. Future research should focus on improving existing processes of care to reduce postoperative complications and constructing better tools to assess individual patients' needs for targeted interventions in the post-acute setting.

Clinical Communities at Johns Hopkins Medicine: An Emerging Approach to Quality Improvement.

BACKGROUND: Clinical communities are an emerging approach to quality improvement (QI) to which several large-scale projects have attributed some success. In 2011 the Armstrong Institute for Patient Safety and Quality established clinical communities as a core strategy to connect frontline providers from six different hospitals to improve quality of care, patient safety, and value across the health system. CLINICAL COMMUNITIES: Fourteen clinical communities that presented great opportunity for improvement were established. A community could focus on a clinical area, a patient population, a group, a process, a safety-related issue, or nearly any health care issue. The collaborative spirit of the communities embraced interdisciplinary membership and representation from each hospital in each community. Communities engaged in team-building activities and facilitated discussions, met monthly, and were encouraged to meet in person to develop relationships and build trust. After a community was established, patients and families were invited to join and share their perspectives and experiences. ENABLING STRUCTURES: The clinical community structure provided clinicians access to resources, such as technical experts and safety and QI researchers, that were not easily otherwise accessible or available. Communities convened clinicians from each hospital to consider safety problems and their resolution and share learning with workplace peers and local unit safety teams. CONCLUSION: The clinical communities engaged 195 clinicians from across the health system in QI projects and peer learning. Challenges included limited financial support and time for clinicians, timely access to data, limited resources from the health system, and not enough time with improvement experts.

Development of a hospital coding intensity measure based on sepsis diagnoses.

Significant variation in coding intensity among hospitals has been observed and can lead to reimbursement inequities and inadequate risk adjustment for quality measures. Reliable tools to quantify hospital coding intensity are needed. We hypothesized that coded sepsis rates among patients hospitalized with common infections may serve as a useful surrogate for coding intensity and derived a hospital-level sepsis coding intensity measure using prevalence of "sepsis" primary diagnoses among patients hospitalized with urinary tract infection, cellulitis, and pneumonia. This novel measure was well correlated with the hospital mean number of discharge diagnoses, which has historically been used to quantify hospital-level coding intensity. However, it has the advantage of inferring hospital coding intensity without the strong association with comorbidity that the mean number of discharge diagnoses has. Our measure may serve as a useful tool to compare coding intensity across institutions.

Development of a disease-based hospital-level diagnostic intensity index.

OBJECTIVES: Low-value care is associated with increased healthcare costs and direct harm to patients. We sought to develop and validate a simple diagnostic intensity index (DII) to quantify hospital-level diagnostic intensity, defined by the prevalence of advanced imaging among patients with selected clinical diagnoses that may not require imaging, and to describe hospital characteristics associated with high diagnostic intensity. METHODS: We utilized State Inpatient Database data for inpatient hospitalizations with one or more pre-defined discharge diagnoses at acute care hospitals. We measured receipt of advanced imaging for an associated diagnosis. Candidate metrics were defined by the proportion of inpatients at a hospital with a given diagnosis who underwent associated imaging. Candidate metrics exhibiting temporal stability and internal consistency were included in the final DII. Hospitals were stratified according to the DII, and the relationship between hospital characteristics and DII score was described. Multilevel regression was used to externally validate the index using pre-specified Medicare county-level cost measures, a Dartmouth Atlas measure, and a previously developed hospital-level utilization index. RESULTS: This novel DII, comprised of eight metrics, correlated in a dose-dependent fashion with four of these five measures. The strongest relationship was with imaging costs (odds ratio of 3.41 of being in a higher DII tertile when comparing tertiles three and one of imaging costs (95 % CI 2.02-5.75)). CONCLUSIONS: A small set of medical conditions and related imaging can be used to draw meaningful inferences more broadly on hospital diagnostic intensity. This could be used to better understand hospital characteristics associated with low-value care.

Baclofen and the risk of fall and fracture in older adults: A real-world cohort study.

BACKGROUND: The growth of oral muscle relaxant prescriptions among older adults in the United States is concerning due to the drugs' adverse sedative effects. Baclofen is a gamma-aminobutyric acid agonist muscle relaxant that is associated with encephalopathy. We characterized the risk of fall and fracture associated with oral baclofen against other muscle relaxants (tizanidine or cyclobenzaprine) in older adults. METHODS: We designed a new-user, active-comparator study using tertiary health system data from Geisinger Health, Pennsylvania (January 2005 through December 2018). Older adults (aged ≥65 years) newly treated with baclofen, tizanidine, or cyclobenzaprine were included. Propensity score-based inverse probability of treatment weighting (IPTW) was used to balance the treatment groups on 58 baseline characteristics. Fine-Gray competing risk regression was used to estimate the risk of fall and fracture. RESULTS: The study cohort comprised of 2205 new baclofen users, 1103 new tizanidine users, and 9708 new cyclobenzaprine users. During a median follow-up of 100 days, baclofen was associated with a higher risk of fall compared to tizanidine (IPTW incidence rate, 108.4 vs. 61.9 per 1000 person-years; subdistribution hazard ratio [SHR], 1.68 [95% CI, 1.20-2.36]). The risk of fall associated with baclofen was comparable to cyclobenzaprine (SHR, 1.17 [95% CI, 0.93-1.47]) with a median follow-up of 106 days. The risk of fracture was similar among patients treated with baclofen versus tizanidine (SHR, 0.85 [95% CI, 0.63-1.14]) or cyclobenzaprine (SHR, 0.85 [95% CI, 0.67-1.07]). CONCLUSIONS: The risk of fall associated with baclofen was greater than tizanidine, but not compared to cyclobenzaprine in older adults. The risk of fracture was comparable among the older users of baclofen, tizanidine, and cyclobenzaprine. Our findings may inform risk-benefit considerations in the increasingly common clinical encounters where oral muscle relaxants are prescribed.

Inaccuracy of Initial Clinical Mobility Assessment in Venous Thromboembolism Risk Stratification.

BACKGROUND: Venous thromboembolism risk increases in hospitals due to reduced patient mobility. However, initial mobility evaluations for thromboembolism risk are often subjective and lack standardization, potentially leading to inaccurate risk assessments and insufficient prevention. METHODS: A retrospective study at a quaternary academic hospital analyzed patients using the Padua risk tool, which includes a mobility question, and the Johns Hopkins-Highest Level of Mobility (JH-HLM) scores to objectively measure mobility. Reduced mobility was defined as JH-HLM scores ≤3 over ≥3 consecutive days. The study evaluated the association between reduced mobility and hospital-acquired venous thromboembolism using multivariable logistic regression, comparing admitting health care professional assessments with JH-HLM scores. Symptomatic, hospital-acquired thromboembolisms were diagnosed radiographically by treating providers. RESULTS: Of 1715 patients, 33 (1.9%) developed venous thromboembolism. Reduced mobility, as determined by the JH-HLM scores, showed a significant association with thromboembolic events (adjusted OR: 2.53, 95%CI:1.23-5.22, P = .012). In contrast, the initial Padua assessment of expected reduced mobility at admission did not. The JH-HLM identified 19.1% of patients as having reduced mobility versus 6.5% by admitting health care professionals, suggesting 37 high-risk patients were misclassified as low risk and were not prescribed thrombosis prophylaxis; 4 patients developed thromboembolic events. JH-HLM detected reduced mobility in 36% of thromboembolic cases, compared to 9% by admitting health care professionals. CONCLUSION: Initial mobility evaluations by admitting health care professionals during venous thromboembolism risk assessment may not reflect patient mobility over their hospital stay. This highlights the need for objective measures like JH-HLM in risk assessments to improve accuracy and potentially reduce thromboembolism incidents.

Functional status impairment is associated with unplanned readmissions.

OBJECTIVE: To determine whether functional status on admission to a Comprehensive Integrated Inpatient Rehabilitation Program (CIIRP) is associated with unplanned readmission to acute care. DESIGN: Retrospective cohort study. SETTING: Academic hospital-based CIIRP. PARTICIPANTS: Consecutive patients (N=1515) admitted to a CIIRP between January 2009 and June 2012. INTERVENTIONS: Patients' functional status, the primary exposure variable, was assessed using tertiles of the total FIM score at CIIRP admission, with secondary analyses using the FIM motor and cognitive domains. A propensity score, consisting of 25 relevant clinical and demographic variables, was used to adjust for confounding in the analysis. MAIN OUTCOME MEASURES: Readmission to acute care was categorized as (1) readmission before planned discharge from the CIIRP, (2) readmission within 30 days of discharge from the CIIRP, and (3) total readmissions from both groups, with total readmissions being the a priori primary outcome. RESULTS: Among the 1515 patients, there were 347 total readmissions. Total readmissions were significantly associated with FIM scores, with adjusted odds ratios (AORs) and 95% confidence intervals (CIs) for the lowest and middle FIM tertiles versus the highest tertile (AOR=2.6; 95% CI, 1.9-3.7; P<.001 and AOR=1.7; 95% CI, 1.2-2.4; P=.002, respectively). There were similar findings for secondary analyses of readmission before planned discharge from the CIIRP (AOR=3.5; 95% CI, 2.2-5.8; P<.001 and AOR=2.1; 95% CI, 1.3-3.5l P=.002, respectively), and a weaker association for readmissions after discharge from the CIIRP (AOR=1.6; 95% CI, 1.0-2.4; P=.047 and AOR=1.3; 95% CI, 0.8-1.9; P=.28, respectively). The FIM motor domain score was more strongly associated with readmissions than the FIM cognitive score. CONCLUSIONS: Functional status on admission to the CIIRP is strongly associated with readmission to acute care, particularly for motor aspects of functional status and readmission before planned discharge from the CIIRP. Efforts to reduce hospital readmissions should consider patient functional status as an important and potentially modifiable risk factor.

Healthcare utilization differences between an apixaban-based and warfarin-based strategy for acute venous thromboembolism in patients with end-stage kidney disease.

INTRODUCTION: Evidence suggests that an apixaban-based strategy to treat acute venous thromboembolism (VTE) in patients with End-Stage Kidney Disease (ESKD) may be safer than a warfarin-based strategy. Apixaban has an additional advantage of not requiring bridging with heparin which often necessitates long hospitalizations for patients with ESKD. We sought to determine if an apixaban-based strategy is associated with less healthcare utilization than a warfarin-based strategy. MATERIAL AND METHODS: We employed a new-user, active-comparator retrospective cohort study using inverse probability of treatment weights (IPTW) to adjust for confounding demographic and clinical variables. Patients with ESKD newly initiated on either apixaban or warfarin for an acute VTE between 2014 and 2018 in the United States Renal Data System were included. Outcomes were presence of index hospitalization, length of index hospitalization, total hospital days, total hospital days excluding index hospitalization, total emergency department (ED) visits that did not result in hospitalization, and total skilled nursing facility days. RESULTS: At six months, patients who received apixaban were less likely to have an index hospitalization, had a shorter index hospitalization (median of 4.0 vs 8.0 days, p < 0.001), and had fewer total hospital days. The IPTW and index year-adjusted incidence rate ratios of total hospital days at one, three, and six months were 0.83 (95 % confidence intervals (CI) 0.79-0.86), 0.84 (95 % CI 0.81-0.88), and 0.88 (95 % CI 0.83-0.92) for apixaban compared to warfarin. CONCLUSION: Among patients with ESKD and VTE, resource utilization for an apixaban-based strategy appears to be lower than for a warfarin-based strategy.

Baclofen and the Risk of Encephalopathy: A Real-World, Active-Comparator Cohort Study.

OBJECTIVE: To quantify the risk of encephalopathy associated with oral baclofen compared with other muscle relaxants-tizanidine or cyclobenzaprine. PATIENTS AND METHODS: We conducted a new-user, active-comparator study of 2 pairwise cohorts using tertiary health system data from Geisinger Health in Pennsylvania (January 1, 2005, through December 31, 2018). Adults (aged ≥18 years) newly treated with baclofen or tizanidine were included in cohort 1. Adults newly treated with baclofen or cyclobenzaprine were included in cohort 2. Propensity score-based inverse probability of treatment weighting (IPTW) was used to balance the respective cohorts on 45 patient characteristics. Fine-Gray competing risk regression was used to estimate the risk of encephalopathy. RESULTS: Cohort 1 included 16,192 new baclofen users and 9782 new tizanidine users. The 30-day risk of encephalopathy was higher in patients treated with baclofen vs tizanidine (IPTW incidence rate, 64.7 vs 28.3 per 1000 person-years) with an IPTW subdistribution hazard ratio (SHR) of 2.29 (95% CI, 1.43 to 3.67). This risk persisted through 1 year (SHR, 1.32 [95% CI, 1.07 to 1.64]). Similarly in cohort 2, baclofen vs cyclobenzaprine was associated with a greater risk of encephalopathy at 30 days (SHR, 2.35 [95% CI, 1.59 to 3.48]) that persisted through the first year of treatment (SHR, 1.94 [95% CI, 1.56 to 2.40]). CONCLUSION: The risk of encephalopathy was greater with baclofen vs tizanidine or cyclobenzaprine use. The elevated risk was apparent as early as 30 days and persisted through the first year of treatment. Our findings from routine care settings may inform shared treatment decisions between patients and prescribers.