Readmission rates following major colorectal surgery.

BACKGROUND: Readmissions following colorectal surgery (CRS) have negative clinical, psychological and financial implications. Identifying patients at risk of readmission remains challenging. AIMS: To determine factors predictive of those likely to require readmission at 40-days following major CRS and to identify novel strategies capable of reducing readmissions. METHODS: Consecutive patients were studied from a prospectively maintained database. All patients were operated on by a single surgeon in a high-volume centre. Where applicable, photography was recorded by patients and emailed directly to the institutional email of the consultant surgeon. Data was recorded and analysed using descriptive statistics. RESULTS: 515 patients were included over a 15-year period (2007-2022). The mean age at surgery was 64 years (18-93). The majority of patients were male (56.9%, n=293) and underwent cancer surgery (58.2%, n=299). Overall, 55 patients were readmitted within 40 days of major CRS (10.7%). Patients with pre-treatment diagnoses of heart failure (P=0.012), ischemic heart disease (P=0.002), renal impairment (P<0.001), atrial fibrillation (P=0.006), hypercholesterolemia (P=0.001), asthma (P=0.013) and hypertension (P=0.001) were more likely to require readmission. The majority of patients were readmitted for definitive management of surgical site issues (SSIs) (43.7% n=24). Other reasons included bowel obstruction (9.1%, n=5), pelvic sepsis (7.3%, n=4) and gastrointestinal upset (7.3%, n=4). CONCLUSION: This series demonstrated that patients with cardiopulmonary comorbidities were more likely to be readmitted following major CRS and most readmissions are SSI related. Readmissions for SSIs can be reduced by patients sending photography to the treating surgeon which could reduce readmissions and A&E attendances.

Comparison of patient demographics and patient-specific risk factors for readmissions following open reduction and internal fixation for acetabular fractures.

PURPOSE: Acetabular fractures are highly complex injuries often resulting from high-energy trauma. The gold standard treatment for these injuries has become open reduction internal fixation (ORIF). The purpose of this study is to further this understanding and investigate how (1) patient demographics and (2) patient-specific risk factors affect 90-day readmission rates. METHODS: A retrospective, nationwide query of private insurance database from January 1st, 2010 to October 31st, 2020 was performed using ICD-9, ICD-10, and CPT codes. Patients who underwent acetabular ORIF and were readmitted within 90 days following index procedure were included, patients who were not readmitted served as controls. Patients were divided by demographics and specific risk factors associated with readmission. RESULTS: The query yielded a total of 3942 patients. Age and sex were found to be non-significant contributing risk factors to 90-day readmissions. Data also showed that statistically significant comorbidities included arrhythmia, cerebrovascular disease, coagulopathy, fluid and electrolyte abnormalities, and pathologic weight loss. CONCLUSION: This study illustrated how several patient-specific risk factors may contribute to increased 90-day readmission risk following acetabular ORIF. A heightened awareness of these comorbidities in patients requiring acetabular ORIF is required to improve patient outcomes and minimize rates of readmission. Further investigation is needed to improve patient outcomes, and increase awareness of potential post-operative complications in these higher-risk patient populations.

Mortality and morbidity following initiation of anticoagulant or antiplatelet treatment for blunt cerebrovascular injury.

OBJECTIVE: Cerebrovascular accidents (CVA) are potential sequelae of blunt cerebrovascular injuries (BCVI). To minimize their risk, medical therapy is used commonly. It is unclear if anticoagulant or antiplatelet medications are superior for decreasing CVA risk. It is also unclear as to which confer fewer undesirable side effects specifically in patients with BCVI. The aim of this study was to compare outcomes between nonsurgical patients with BCVI with hospital admission records who were treated with anticoagulant medications and those who were treated with antiplatelet medications. METHODS: We performed a 5-year (2016-2020) analysis of the Nationwide Readmission Database. We identified all adult trauma patients who were diagnosed with BCVI and treated with either anticoagulant or antiplatelet agents. Patients who were diagnosed with index admission CVA, intracranial injury, hypercoagulable states, atrial fibrillation, and or moderate to severe liver disease were excluded. Those who underwent vascular procedures (open and/or endovascular approaches) and or neurosurgical treatment were also excluded. Propensity score matching (1:2 ratio) was performed to control for demographics, injury parameters, and comorbidities. Index admission and 6-month readmission outcomes were examined. RESULTS: We identified 2133 patients with BCVI who were treated with medical therapy; 1091 patients remained after applying the exclusion criteria. A matched cohort of 461 patients (anticoagulant, 159; antiplatelet, 302) was obtained. The median patient age was 72 years (interquartile range [IQR], 56-82 years), 46.2% of patients were female, falls were the mechanism of injury in 57.2% of cases, and the median New Injury Severity Scale score was 21 (IQR, 9-34). Index outcomes with respect to (1) anticoagulant treatments followed by (2) antiplatelet treatments and (3) P values are as follows: mortality (1.3%, 2.6%, 0.51), median length of stay (6 days, 5 days; P < .001), and median total charge (109,736 USD, 80,280 USD, 0.12). The 6-month readmission outcomes are as follows: readmission (25.8%, 16.2%, <0.05), mortality (4.4%, 4.6%, 0.91), ischemic CVA (4.9%, 4.1%, P = not significant [NS]), gastrointestinal hemorrhage (4.9%, 10.2%, 0.45), hemorrhagic CVA (0%, 0.41%, P = NS), and blood loss anemia (19.5%, 12.2%, P = NS). CONCLUSIONS: Anticoagulants are associated with a significantly increased readmission rate within 6 months. Neither medical therapy is superior to one another in the reduction of the following: index mortality, 6-month mortality, and 6-month readmission with CVA. Notably, antiplatelet agents seem to be associated with increased hemorrhagic CVA and gastrointestinal hemorrhage on readmission, although neither association is statistically significant. Still, these associations underscore the need for further prospective studies of large sample sizes to investigate the optimal medical therapy for nonsurgical patients with BCVI with hospital admission records.

The impact of a multidisciplinary goals-of-care program on unplanned readmission rates at a comprehensive cancer center.

PURPOSE: This study examined the 30-day unplanned readmission rate in the medical oncology population before and after the implementation of an institution-wide multicomponent interdisciplinary goals of care (myGOC) program. METHODS: This retrospective study compared the 30-day unplanned readmission rates in consecutive medical patients during the pre-implementation period (May 1, 2019, to December 31, 2019) and the post-implementation period (May 1, 2020, to December 31, 2020). Secondary outcomes included 7-day unplanned readmission rates, inpatient do-not-resuscitate (DNR) orders, and palliative care consults. We randomly selected a hospitalization encounter for each unique patient during each study period for statistical analysis. A multivariate analysis model was used to examine the association between 30-day unplanned readmission rates and implementation of the myGOC program. RESULTS: There were 7028 and 5982 unique medical patients during the pre- and post-implementation period, respectively. The overall 30-day unplanned readmission rate decreased from 24.0 to 21.3% after implementation of the myGOC program. After adjusting for covariates, the myGOC program implementation remained significantly associated with a reduction in 30-day unplanned readmission rates (OR [95% CI] 0.85 [0.77, 0.95], p = 0.003). Other factors significantly associated with a decreased likelihood of a 30-day unplanned readmission were an inpatient DNR order, advanced care planning documentation, and an emergent admission type. We also observed a significant decrease in 7-day unplanned readmission rates (OR [95% CI] 0.75 [0.64, 0.89]) after implementation of the myGOC program. CONCLUSION: The 30-day and 7-day unplanned readmission rates decreased in our hospital after implementation of a system-wide multicomponent GOC intervention.

Incidence and 30- and 90-day readmission rates after primary shoulder arthroplasty in the United States: an analysis using the National Readmissions Database.

BACKGROUND: The field of shoulder arthroplasty has experienced a substantial increase in the number of procedures performed annually and a shift toward more common implantation of reverse shoulder arthroplasties (RSAs). Same-day discharge is perceived as beneficial for most patients as well as our health care system, and the number of shoulder procedures performed as same-day surgery has increased substantially. However, the potential benefits of same-day discharge after shoulder arthroplasty may be negatively influenced by unexpected readmissions. As such, an in-depth analysis of readmission rates after primary shoulder arthroplasty is particularly timely. METHODS: The National Readmissions Database was queried for primary shoulder arthroplasty procedures performed in the United States between 2016 and 2018. National incidences were calculated, and indications, patient demographic characteristics, comorbidities, facility characteristics, and rates and causes of 30- and 90-day readmissions were determined for all procedures and compared between anatomic total shoulder arthroplasty (TSA), anatomic hemiarthroplasty (HA), and RSA. RESULTS: During the study period, 336,672 primary shoulder arthroplasties were performed (37% TSAs, 57% RSAs, and 6% HAs). In 2018, national incidences per 100,000 inhabitants were 22.64 for RSA, 12.70 for TSA, and 1.50 for HA. The utilization of these procedures between 2016 and 2018 increased for RSA, decreased for HA, and remained constant for TSA, but these changes did not reach the level of statistical significance. The average all-cause 30-day readmission rates were 3.63%, 1.92%, and 3.81% for RSA, TSA, and HA, respectively, and the average all-cause 90-day readmission rates were 7.76%, 4.37%, and 9.18%, respectively. For both RSA and HA, the most common surgical diagnosis for 30-day and 90-day readmissions was dislocation (0.45% and 0.99%, respectively, for RSA and 0.21% and 0.67%, respectively, for HA). For TSA, the most common surgical diagnosis for 30-day readmission was infection (0.11%); however, this was surpassed by dislocation (0.28%) at 90 days. CONCLUSION: RSA surpassed TSA as the most frequently performed shoulder arthroplasty procedure in the United States between 2016 and 2018. During this period, the 90-day readmission rate was not negligible, with dislocation and infection as the leading orthopedic causes of readmission.

Readmission Rates of Patients Discharged on Antipsychotic Polypharmacy Compared to Antipsychotic Monotherapy.

Antipsychotic medications are used to treat many psychiatric conditions and are paramount for relapse prevention in patients with mental illnesses. Antipsychotic monotherapy (APM) is a commonly recommended approach, however there is no clear consensus on the use of antipsychotic polypharmacy (APP). A single-center retrospective review was conducted comparing readmission rates of behavioral health patients discharged on APP or APM between August 1st 2019 and July 31st 2021. The primary outcome was the one-year psychiatric readmission rate. Secondary outcomes included further readmission time frame stratification, olanzapine equivalent doses, and use of anticholinergic medications. The total readmission rate was 24.5% (24/98) in the APP group compared to 19.1% (107/560) in the APM group (p = 0.22). Patients discharged on APM were not found to have a statistically significant increase in readmission rate compared to patients discharged on APP. Further research is needed to assess the risks and benefits of APP.

The utilization of artificial neural networks for the prediction of 90-day unplanned readmissions following total knee arthroplasty.

BACKGROUND: A reliable predictive tool to predict unplanned readmissions has the potential to lower readmission rates through targeted pre-operative counseling and intervention with respect to modifiable risk factors. This study aimed to develop and internally validate machine learning models for the prediction of 90-day unplanned readmissions following total knee arthroplasty. METHODS: A total of 10,021 consecutive patients underwent total knee arthroplasty. Patient charts were manually reviewed to identify patient demographics and surgical variables that may be associated with 90-day unplanned hospital readmissions. Four machine learning algorithms (artificial neural networks, support vector machine, k-nearest neighbor, and elastic-net penalized logistic regression) were developed to predict 90-day unplanned readmissions following total knee arthroplasty and these models were evaluated using ROC AUC statistics as well as calibration and decision curve analysis. RESULTS: Within the study cohort, 644 patients (6.4%) were readmitted within 90 days. The factors most significantly associated with 90-day unplanned hospital readmissions included drug abuse, surgical operative time, and American Society of Anaesthesiologist Physical Status (ASA) score. The machine learning models all achieved excellent performance across discrimination (AUC > 0.82), calibration, and decision curve analysis. CONCLUSION: This study developed four machine learning models for the prediction of 90-day unplanned hospital readmissions in patients following total knee arthroplasty. The strongest predictors for unplanned hospital readmissions were drug abuse, surgical operative time, and ASA score. The study findings show excellent model performance across all four models, highlighting the potential of these models for the identification of high-risk patients prior to surgery for whom coordinated care efforts may decrease the risk of subsequent hospital readmission. LEVEL OF EVIDENCE: Level III, case-control retrospective analysis.

Impact of Podiatric Surgery Consultation for Foot and Ankle Wounds on Patient Outcomes in a Community Hospital.

Previous studies have demonstrated that timely podiatric surgery consultation results in positive patient outcomes. However, there are limited studies focused on readmission rates in teaching community hospitals. The primary aim of this study is to determine if consulting podiatric services was associated with lower 30-day readmission rates and impact on length of stay in patients with lower extremity wounds. The secondary aim was to investigate medical and socio-economic factors associated with better outcomes. This study was a cross-sectional descriptive study. A retrospective chart review utilizing the hospital's electronic medical record system identified patients with lower extremity wounds (based on ICD-10 codes) admitted between July 2018 and December 2020. The results showed a 3-fold decrease in 30-day readmission rates in patients with podiatric surgery consultation compared to patients without consultation with lower extremity wounds (4.2% vs 11.3%, p = .03). Multivariate regression models showed patients with gangrene (AOR = 7.61; p = .04) or osteomyelitis (AOR = 9.07; p = .013) had a higher likelihood of readmission than patients with venous ulcer (reference category) after controlling for podiatric consultation. Among the group of patients with podiatric consultation, earlier podiatric consultations resulted in decreased length of stay. This study identifies prior amputation history and lack of podiatric consultation increased 30-day readmission rates.

Impact of Student Pharmacist-Led Transition-of-Care Services on 30-Day Hospital Readmissions at a University Call Center.

Background: Transition of care (TOC) refers to the movement of patients between different health care settings due to changes in medical conditions and needs. Pharmacists can play an important role in TOC services as polypharmacy is a common reason for hospital readmission that costs the US taxpayers an average of $17 billion annually. Objective: The purpose of this study is to evaluate the impact of TOC telehealth services provided by pharmacy students at a university-based call center on 30-day hospital readmission. Methods: In this retrospective observational study, an electronic chart review was conducted for patients who were discharged from the hospital and received a telephone call from pharmacy students. Patients were referred to the pharmacy team from a primary care provider office. The co-primary endpoints were the number of 30-day all-cause hospital readmissions (including emergency department visits) and 30-day readmission due to initial admission diagnosis in patients who received a telephonic TOC call from a pharmacy student compared with patients who declined or were unable to be reached. Types of pharmacy-related TOC interventions provided by students were also collected. Results: A total of 84 patients were included in this study. All-cause 30-day readmission was similar between groups (13% vs 15.8%), whereas 30-day readmission due to initial admission diagnosis was much lower in the intervention group (5.9% vs 11.1%). Although a positive trend was observed in favor of the intervention group, a statistically significant difference was not observed for both 30-day all-cause readmission and 30-day readmission due to initial admission diagnosis. Medication reconciliation, adherence counseling, and lifestyle education (diet, exercise) are the most common topics discussed with the patients during TOC interventions. Conclusion: Using student pharmacists to provide postdischarge TOC calls can be a benefit to the patient and the health care team while offering pharmacy students valuable learning experience prior to graduation.

Early readmissions of spontaneous bacterial peritonitis in the USA: Insights into an emerging challenge.

BACKGROUND AND AIM: Early readmissions of spontaneous bacterial peritonitis (SBP) are often associated with poor outcomes. We compared characteristics and outcomes for index and 30-day readmissions of SBP in the USA. METHODS: We analyzed the Nationwide Readmissions Database for 2018 to identify all adult (≥ 18 years) 30-day readmissions of SBP in the USA. Hospitalization characteristics and outcomes for index and 30-day readmissions of SBP were compared. Independent predictors of 30-day readmissions were also identified. RESULTS: In 2018, of the 5,797 index admissions for SBP, 30% (1726) were readmitted within 30 day. At the time of readmission, the most common admitting diagnosis was alcoholic cirrhosis of the liver with ascites (11.8%) followed by sepsis due to an unspecified organism (9.2%). SBP as an admitting diagnosis was identified for only 8.3% of these 30-day readmissions. Compared with index admissions, 30-day readmissions of SBP had a lower mean age (56.1 vs 58.6 years, P < 0.001) without a statistically significant difference for gender. Furthermore, 30-day readmissions of SBP were associated with significantly higher odds of inpatient mortality (10% vs 4.9%, OR: 2.15, 95% CI: 1.66-2.79, P < 0.001), and mean total hospital charge ($85,031 vs $56,000, mean difference: 29,032, 95% CI: 12,867-45,197, P < 0.001) compared with index admissions. The presence of chronic pulmonary disease, liver failure, inpatient dialysis, and discharge against medical advice were identified as independent predictors for increased 30-day readmissions of SBP. CONCLUSION: The 30-day readmission rate of SBP was 30% and these readmissions were associated with higher odds of inpatient mortality compared with index admissions.

Characteristics of 30-Day All-Cause Hospital Readmissions Among Patients with Acute Pancreatitis and Substance Use.

BACKGROUND/OBJECTIVES: Previous studies on healthcare resource utilization and 30-day readmission risks among patients with acute pancreatitis (AP) have focused upon opioid and alcohol use. The data on other substance types are lacking. In this study we aim to estimate the 30-day readmission rates, predictors of readmission, impact of readmission on patient outcomes and resulting economic burden among patients with AP and substance use in the USA. METHODS: This was a retrospective cohort study, based upon data from 2017 National Readmission Database of adult patients with AP and substance use (alcohol in combination, opioid, cannabis, cocaine, sedatives, other stimulants, other hallucinogens, other psychoactive, inhalant and miscellaneous). We estimated the 30-day readmission rates and predictors of 30-day readmission. RESULTS: Among 25,795 eligible patients, most were male, belonged to the lower income quartile, resided in the urban facility and had a Charlson comorbidity score of 0 or 1. The use of a combination of substances was the most common in 17,265 (66.9%) patients followed by only opioids in 4691 (18.2%) patients and only marijuana in 3839 (14.9%) patients. A total of 14.6% patients were readmitted within 30 days after discharge for non-elective causes with the highest risk of readmission within the 1st week after discharge with 5.2% readmissions. Among top ten causes of readmission, most of the principal diagnosis were related to AP in 53.1%. Compared to index admission, readmitted patients had significantly higher rates of acute cardiac failure, shock, and higher in-hospital mortality rate. Overall, readmission attributed to an additional 17,801 days of hospitalization resulting in a total of $150 million in hospitalization charges and $36 million in hospitalization costs in 2017. On multivariate analysis, chronic pancreatitis, self-discharge against medical advice, treatment at the highest volume centers, higher Charlson comorbidity index, increasing length of stay and severe disease were associated with higher odds of readmission while female gender and private insurance were associated with lower odds. CONCLUSION: Readmission was associated with higher morbidity and in-hospital mortality among patients with AP and substance use and resulted in a significant monetary burden on the US healthcare system. Several factors identified in this study may be useful for categorizing patients at higher risk of readmission warranting special attention during discharge planning.

Unplanned 30-Day Readmission Rates for Autosomal Dominant Polycystic Kidney Disease: Insight from the Nationwide Readmissions Database.

INTRODUCTION: Among end-stage kidney disease (ESKD) patients on dialysis with autosomal dominant polycystic kidney disease (ADPKD), relatively little is known about the epidemiology and risk factors for 30-day readmissions in the USA. Therefore, we evaluated the 30-day unplanned readmission rates and predictors and inpatient care costs among ESKD patients with and without ADPKD using a nationally representative, all-payer database. METHODS: We utilized the Nationwide Readmissions Database from 2013 to 2018 to identify patients admitted for ESKD on dialysis with and without ADPKD using ICD-9 and ICD-10 codes. The primary outcome was a 30-day, unplanned readmission rate. Secondary outcomes were readmission reasons and timing, mortality, cost of hospitalization and rehospitalization, and adjusted predictors of readmissions. We used χ2 tests, t tests, and Wilcoxon rank-sum tests for descriptive analyses and survey logistic regression to calculate adjusted odds ratios and 95% confidence intervals for associations with readmissions adjusting for confounders. RESULTS: From 2013 to 2018, in a cohort of 1,404,144 hospitalizations with ESKD on dialysis as the primary and secondary diagnosis on index admission, there were 8,213 (0.58%) patients with ADPKD and 1,395,932 patients without ADPKD. Those who had ADPKD during index admissions had fewer 30 days readmissions (18.8 vs. 23.8%, p < 0.0001). The cost of hospitalizations and readmissions in ESKD on-dialysis patients with ADPKD was higher than non-ADPKD patients. Compared to ESKD patients without ADPKD who were readmitted, readmitted ADPKD patients were more likely to be younger with a lower Elixhauser Comorbidity Index (ECI) score; have received kidney transplant, lower source of income, elective index admissions, private insurance; and be discharged routinely, admitted in hospitals with larger bed size, in teaching hospitals, and less likely to get admitted through the emergency department. Younger age (<75 years), higher ECI score, longer length of stay, Medicare and Medicaid insurance, self-pay, discharge to a short-term hospital, specialized care, home health care, and against medical advice were associated with significantly increased odds of readmission. ADPKD patients were 31% less likely to get readmitted and 43% less likely to die during readmissions. DISCUSSION/CONCLUSION: Nationwide, ESKD on-dialysis patients with ADPKD were less likely to have 30-day readmission than patients without ADPKD. Inpatient mortality during readmissions in patients admitted with ESKD on dialysis was lower with ADPKD as compared to those without ADPKD at the cost of higher health care expenses.

Impact of the COVID-19 pandemic on shoulder arthroplasty: surgical trends and postoperative care pathway analysis.

BACKGROUND: COVID-19 triggered disruption in the conventional care pathways for many orthopedic procedures. The current study aims to quantify the impact of the COVID-19 pandemic on shoulder arthroplasty hospital surgical volume, trends in surgical case distribution, length of hospitalization, posthospital disposition, and 30-day readmission rates. METHODS: This study queried all Medicare (100% sample) fee-for-service beneficiaries who underwent a shoulder arthroplasty procedure (Diagnosis-Related Group code 483, Current Procedural Terminology code 23472) from January 1, 2019, to December 18, 2020. Fracture cases were separated from nonfracture cases, which were further subdivided into anatomic or reverse arthroplasty. Volume per 1000 Medicare beneficiaries was calculated from April to December 2020 and compared to the same months in 2019. Length of stay (LOS), discharged-home rate, and 30-day readmission for the same period were obtained. The yearly difference adjusted for age, sex, race (white vs. nonwhite), Centers for Medicare & Medicaid Services Hierarchical Condition Category risk score, month fixed effects, and Core-Based Statistical Area fixed effects, with standard errors clustered at the provider level, was calculated using a multivariate analysis (P < .05). RESULTS: A total of 49,412 and 41,554 total shoulder arthroplasty (TSA) cases were observed April through December for 2019 and 2020, respectively. There was an overall decrease in shoulder arthroplasty volume per 1000 Medicare beneficiaries by 14% (19% reduction in anatomic TSA, 13% reduction in reverse shoulder arthroplasty, and 3% reduction in fracture cases). LOS for all shoulder arthroplasty cases decreased by 16% (-0.27 days, P < .001) when adjusted for confounders. There was a 5% increase in the discharged-home rate (88.0% to 92.7%, P < .001), which was most prominent in fracture cases, with a 20% increase in discharged-home cases (65.0% to 73.4%, P < .001). There was no significant change in 30-day hospital readmission rates overall (P = .20) or when broken down by individual procedures. CONCLUSIONS: There was an overall decrease in shoulder arthroplasty volume per 1000 Medicare beneficiaries by 14% during the COVID-19 pandemic. A decrease in LOS and increase in the discharged-home rates was also observed with no significant change in 30-day hospital readmission, indicating that a shift toward an outpatient surgical model can be performed safely and efficiently and has the potential to provide value.

National Landscape of Unplanned 30-Day Readmission Rates for Acute Non-hemorrhagic Diverticulitis: Insight from National Readmission Database.

BACKGROUND: Early readmissions are an important indicator of the quality of care. Limited data exist describing hospital readmissions in acute diverticulitis. The study aimed to describe unplanned, 30-day readmissions among adult acute diverticulitis patients and to assess readmission predictors. METHODS: We analyzed the 2013 and 2014 United States National Readmission Database and identified acute diverticulitis admissions using administrative codes in adult patients older than 18 years of age. Our primary outcome was a 30-day, unplanned readmission rate. We used Chi-square tests, t tests, and Wilcoxon rank-sum tests for descriptive analyses and survey logistic regression to calculate adjusted odds ratios (aORs) and 95% confidence intervals for associations with readmissions adjusting for confounders. RESULTS: In the cohort of 364,511 hospitalizations with acute diverticulitis, as the primary diagnosis on index admission, 31,420 (8.6%) had at least one unplanned 30-day readmission. Sixty percent of the readmissions occurred within the first 2 weeks of the index admission. The most common reasons for unplanned 30-day readmission were due to diverticulitis of the colon (41.5%), postoperative infection (4.2%), septicemia (3.6%), intestinal infection due to Clostridium difficile (3%), and other digestive system complications such bleeding or fistula (2.8%). Multivariable analysis showed advance age (> 75 years), discharge against medical advice, comorbidities (renal failure, coronary artery disease, atrial fibrillation, congestive heart failure, hypertension, diabetes, obesity, weight loss, chronic lung disease, malignancy), blood transfusion, Medicare and Medicaid insurance, and increased length of stay (> 3 days) were associated with significantly higher odds for readmission. Patients who have undergone abdominal surgery during index admission were 31% less likely to get readmitted. CONCLUSIONS: On a national level, 1 in 11 hospitalizations for acute diverticulitis was followed by unplanned readmission within 30 days with most admissions occurring in the first 2 weeks. Multiple modifiable and non-modifiable factors influencing readmission rates were noted. Further studies should examine if strategies that address these predictors can decrease readmissions.

Implementation of nurse navigation for behavioral health inpatient services to divert early readmissions: A pilot program.

OBJECTIVE: Inpatient behavioral health units across the United States have high readmission rates. The Centers for Medicare and Medicaid Services (CMS) as well as healthcare organizations are focused on reducing readmission rates, especially those readmissions that occur within 30-90 days. Behavioral Health Nurse Navigation was implemented at St. Luke's University Health Network's Sacred Heart Campus to investigate, address, and divert early behavioral health readmissions through evidence-based discharge calls and problem-solving methods. METHOD: Following approval for Behavioral Health Nurse Navigation, workflow and discharge call screens were developed for behavioral health discharge calls. Discharge call screens populated at specific intervals and calls were made at those times. Data was maintained on those patients who participated in calls. Increased collaboration and dissemination of information ensued. RESULTS: 613 patients participated in discharge calls from March 2020 to October 2020 as 98% of patients liked receiving calls. 56% of participants used substances; the most commonly used substance was THC. MDD was the most common diagnosis among participants and most patients utilized St. Luke's Psychiatric Associates for outpatient mental health care. Participants most often required assistance in the areas of medication, community coordination, and support/reassurance. The Behavioral Health Nurse Navigation diversion rate ranged from 81% to 96%. CONCLUSION: Behavioral Health Nurse Navigation promotes patients' successful adherence to discharge plans through increased collaboration, communication, and skillful problem-solving in the areas of medication, community coordination, and therapeutic reassurance/support. The outcome of Behavioral Health Nurse Navigation is increased patient satisfaction, compliance with treatment, and diversion of patients at high risk for early readmission.

Patients Who Have Cannabis Use Disorder Have Higher Rates of Venous Thromboemboli, Readmission Rates, and Costs Following Primary Total Knee Arthroplasty.

BACKGROUND: Studies have shown that cannabis can interfere with hematological parameters and platelet morphology. The purpose of this study is to investigate whether patients with cannabis use disorder undergoing primary total knee arthroplasty (TKA) have higher rates of (1) venous thromboemboli (VTEs); (2) readmissions; and (3) costs. METHODS: Study group patients undergoing primary TKA were identified from a large, nationwide database. Patients who had a history of VTEs, deep vein thromboses (DVTs), pulmonary emboli (PEs), and coagulopathies before their TKA were excluded. Study group patients were matched to controls in a 1:4 ratio by age, sex, a comorbidity index, and medical comorbidities. The query yielded 18,388 patients (cannabis = 3680; controls = 14,708). Outcomes analyzed included rates of 90-day VTEs, DVTs, and PEs, in addition to 90-day readmissions and costs. A P value less than .01 was considered statistically significant. RESULTS: Patients who have cannabis use disorder were found to have significantly higher incidence and odds (2.79% vs 1.78%; odds ratio [OR], 1.58; P < .0001) of VTEs, DVTs (2.41% vs 1.44%; OR, 1.68; P < .0001), and PEs (0.97% vs 0.62%; P = .01). Readmissions were significantly higher (27.03% vs 23.18%; OR, 1.22; P < .0001) in patients who have cannabis use disorder. Patients with cannabis use disorder have significantly higher day of surgery ($14,024.88 vs $12,127.49; P < .0001) and 90-day costs ($19,155.45 vs $16,315.00; P < .0001). CONCLUSION: This study found that patients who have a cannabis use disorder have higher rates of thromboembolic complications, readmission rates, and costs following primary TKA compared to a matched cohort.

Thirty-day Readmission Rates for Carotid Endarterectomy Versus Carotid Artery Stenting.

BACKGROUND: Because of the emergence of readmission-related Medicare penalties, efforts are being made to identify and reduce patient readmissions. The purpose of this study was to compare rates and risk factors for 30-d readmission and hospital length of stay (LOS) after carotid endarterectomy (CEA) and carotid artery stenting (CAS) among patients treated for carotid artery stenosis in Pennsylvania. MATERIALS AND METHODS: Data were from the Pennsylvania Health Care Cost Containment Council (PHC4). We identified 15,966 patients who underwent CEA (n = 13,557) or CAS (n = 2409) in Pennsylvania between 2011 and 2014. Logistic regression was used to determine risk factors for 30-d readmission, whereas linear regression was used to model factors influencing LOS. Propensity score analysis was used to control for imbalanced covariates between procedures. RESULTS: Thirty-day readmission rates in Pennsylvania after CEA and CAS for carotid artery stenosis were similar (9.8% and 9.6%, respectively; P = 0.794). Not home discharge destination, Charlson comorbidity index ≥2, and LOS >1 d were all significantly associated with readmission risk. Procedure type (CEA or CAS) did not significantly influence risk. A significant difference in LOS was found between CEA and CAS, but the magnitude of the difference was small (2.38 for CAS versus 2.59 for CEA; P = 0.007). Black race, urgent and emergent cases, and not home discharges significantly increased LOS by notable amounts (1, 1.5, 3.9, and 1.9 d, respectively). CONCLUSIONS: Carotid artery stenosis patients in Pennsylvania undergoing CEA or CAS had similar 30-d readmission rates. Although LOS was significantly different, the magnitude of the difference was not large.

Identifying Risk Factors for 30-Day Readmissions After Triple Arthrodesis Surgery.

Rigid flatfoot deformity is a debilitating condition that can be managed by triple arthrodesis surgery. Triple arthrodesis has the potential to restore health-related quality of life, but it is also associated with several complications. Few studies have examined the 30-day readmission rates after triple arthrodesis. The objective of this study was to investigate risk factors for 30-day all-cause readmissions after triple arthrodesis. The nationwide readmission database was queried from 2013. By using International Classification of Disease, Ninth Revision, procedure codes, all triple arthrodesis procedures were identified. Demographic factors, comorbidities, insurance status, and hospital characteristics were statistically compared between patients who experienced a 30-day readmission and those who did not. Multivariable logistic regression was used to identify independent risk factors for 30-day readmission. Overall, 1916 triple arthrodesis cases were identified. The overall 30-day readmission rate after triple arthrodesis was 4.6%. Univariate analysis revealed a statistically higher proportion of patients with electrolyte abnormalities (13.8% vs 4.6%; p < .01) in the patients who were readmitted within 30 days compared with those who were not. Multivariable analysis demonstrated Medicaid insurance, relative to private insurance, as the only statistically significant predictor of 30-day readmission with an odds ratio of 4.43 (p < .05). These results suggest that patients of lower socioeconomic status may be at a greater risk for development of a short-term readmission after triple arthrodesis surgery. These findings are important for surgeon and patient communication, counseling, and postoperative care when choosing to pursue triple arthrodesis surgery.

Impact of Pharmacy Student-Driven Postdischarge Telephone Calls on Heart Failure Hospital Readmission Rates: A Pilot Program.

Background: Heart failure (HF) hospitalization rates have remained high in the past 10 years. Numerous studies have shown significant improvement in HF readmission rates when pharmacists or pharmacy residents conduct postdischarge telephone calls. Objective: The purpose of this retrospective review of a pilot program was to evaluate the impact of pharmacy student-driven postdischarge phone calls on 30- and 90-day hospital readmission rates in patients recently discharged with HF. Methods: A retrospective manual chart review was conducted for all patients who received a telephone call from the pharmacy students. The primary endpoint compared historical readmissions, 30 and 90 days prior to hospital discharge, with 30 and 90 days post discharge readmissions. For the secondary endpoints, historical and postdischarge 30-day and 90-day readmission rates were compared for patients with a primary diagnosis of HF and for patients with a secondary diagnosis of HF. Descriptive statistics were calculated in the form of means and standard deviations for continuous variables and frequencies and percentages for categorical variables. Results: Statistically significant decrease was observed for both the 30-day (P = .006) and 90-day (P = .007) readmission periods. Prior to the pharmacy students' phone calls, the overall group of 131 patients had historical readmission rates of 24.43% within 30 days and 38.17% within 90 days after hospital discharge. After the postdischarge phone calls, the readmission rates decreased to 11.45%, for 30 days, and 22.90%, for 90 days. Conclusion: Postdischarge phone calls, specifically made by pharmacy students, demonstrated a positive impact on reducing HF-associated hospital readmissions, adding to the growing body of evidence of different methods of pharmacy interventions and highlighting the clinical impact pharmacy students may have in transition of care services.