Covid-19 Surveillance Testing and Resident Outcomes in Nursing Homes.

BACKGROUND: Despite widespread adoption of surveillance testing for coronavirus disease 2019 (Covid-19) among staff members in skilled nursing facilities, evidence is limited regarding its relationship with outcomes among facility residents. METHODS: Using data obtained from 2020 to 2022, we performed a retrospective cohort study of testing for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) among staff members in 13,424 skilled nursing facilities during three pandemic periods: before vaccine approval, before the B.1.1.529 (omicron) variant wave, and during the omicron wave. We assessed staff testing volumes during weeks without Covid-19 cases relative to other skilled nursing facilities in the same county, along with Covid-19 cases and deaths among residents during potential outbreaks (defined as the occurrence of a case after 2 weeks with no cases). We reported adjusted differences in outcomes between high-testing facilities (90th percentile of test volume) and low-testing facilities (10th percentile). The two primary outcomes were the weekly cumulative number of Covid-19 cases and related deaths among residents during potential outbreaks. RESULTS: During the overall study period, 519.7 cases of Covid-19 per 100 potential outbreaks were reported among residents of high-testing facilities as compared with 591.2 cases among residents of low-testing facilities (adjusted difference, -71.5; 95% confidence interval [CI], -91.3 to -51.6). During the same period, 42.7 deaths per 100 potential outbreaks occurred in high-testing facilities as compared with 49.8 deaths in low-testing facilities (adjusted difference, -7.1; 95% CI, -11.0 to -3.2). Before vaccine availability, high- and low-testing facilities had 759.9 cases and 1060.2 cases, respectively, per 100 potential outbreaks (adjusted difference, -300.3; 95% CI, -377.1 to -223.5), along with 125.2 and 166.8 deaths (adjusted difference, -41.6; 95% CI, -57.8 to -25.5). Before the omicron wave, the numbers of cases and deaths were similar in high- and low-testing facilities; during the omicron wave, high-testing facilities had fewer cases among residents, but deaths were similar in the two groups. CONCLUSIONS: Greater surveillance testing of staff members at skilled nursing facilities was associated with clinically meaningful reductions in Covid-19 cases and deaths among residents, particularly before vaccine availability.

Use of electronic health record data to examine administrations of pro re nata analgesics during hip fracture post-acute care.

PURPOSE: Medications prescribed to older adults in US skilled nursing facilities (SNF) and administrations of pro re nata (PRN) "as needed" medications are unobservable in Medicare insurance claims. There is an ongoing deficit in our understanding of medication use during post-acute care. Using SNF electronic health record (EHR) datasets, including medication orders and barcode medication administration records, we described patterns of PRN analgesic prescribing and administrations among SNF residents with hip fracture. METHODS: Eligible participants resided in SNFs owned by 11 chains, had a diagnosis of hip fracture between January 1, 2018 to August 2, 2021, and received at least one administration of an analgesic medication in the 100 days after the hip fracture. We described the scheduling of analgesics, the proportion of available PRN doses administered, and the proportion of days with at least one PRN analgesic administration. RESULTS: Among 24 038 residents, 57.3% had orders for PRN acetaminophen, 67.4% PRN opioids, 4.2% PRN non-steroidal anti-inflammatory drugs, and 18.6% PRN combination products. The median proportion of available PRN doses administered per drug was 3%-50% and the median proportion of days where one or more doses of an ordered PRN analgesic was administered was 25%-75%. Results differed by analgesic class and the number of administrations ordered per day. CONCLUSIONS: EHRs can be leveraged to ascertain precise analgesic exposures during SNF stays. Future pharmacoepidemiology studies should consider linking SNF EHRs to insurance claims to construct a longitudinal history of medication use and healthcare utilization prior to and during episodes of SNF care.

A Risk Prediction Model for Physical Restraints Among Older Chinese Adults in Long-term Care Facilities: Machine Learning Study.

BACKGROUND: Numerous studies have identified risk factors for physical restraint (PR) use in older adults in long-term care facilities. Nevertheless, there is a lack of predictive tools to identify high-risk individuals. OBJECTIVE: We aimed to develop machine learning (ML)-based models to predict the risk of PR in older adults. METHODS: This study conducted a cross-sectional secondary data analysis based on 1026 older adults from 6 long-term care facilities in Chongqing, China, from July 2019 to November 2019. The primary outcome was the use of PR (yes or no), identified by 2 collectors' direct observation. A total of 15 candidate predictors (older adults' demographic and clinical factors) that could be commonly and easily collected from clinical practice were used to build 9 independent ML models: Gaussian Naïve Bayesian (GNB), k-nearest neighbor (KNN), decision tree (DT), logistic regression (LR), support vector machine (SVM), random forest (RF), multilayer perceptron (MLP), extreme gradient boosting (XGBoost), and light gradient boosting machine (Lightgbm), as well as stacking ensemble ML. Performance was evaluated using accuracy, precision, recall, an F score, a comprehensive evaluation indicator (CEI) weighed by the above indicators, and the area under the receiver operating characteristic curve (AUC). A net benefit approach using the decision curve analysis (DCA) was performed to evaluate the clinical utility of the best model. Models were tested via 10-fold cross-validation. Feature importance was interpreted using Shapley Additive Explanations (SHAP). RESULTS: A total of 1026 older adults (mean 83.5, SD 7.6 years; n=586, 57.1% male older adults) and 265 restrained older adults were included in the study. All ML models performed well, with an AUC above 0.905 and an F score above 0.900. The 2 best independent models are RF (AUC 0.938, 95% CI 0.914-0.947) and SVM (AUC 0.949, 95% CI 0.911-0.953). The DCA demonstrated that the RF model displayed better clinical utility than other models. The stacking model combined with SVM, RF, and MLP performed best with AUC (0.950) and CEI (0.943) values, as well as the DCA curve indicated the best clinical utility. The SHAP plots demonstrated that the significant contributors to model performance were related to cognitive impairment, care dependency, mobility decline, physical agitation, and an indwelling tube. CONCLUSIONS: The RF and stacking models had high performance and clinical utility. ML prediction models for predicting the probability of PR in older adults could offer clinical screening and decision support, which could help medical staff in the early identification and PR management of older adults.

Skilled Nursing Facility Participation in a Voluntary Medicare Bundled Payment Program: Association With Facility Financial Performance.

IMPORTANCE: Model 3 of the Bundled Payments for Care Improvement (BPCI) is an alternative payment model in which an entity takes accountability for the episode costs. It is unclear how BPCI affected the overall skilled nursing facility (SNF) financial performance and the differences between facilities with differing racial/ethnic and socioeconomic status (SES) composition of the residents. OBJECTIVE: The objective of this study was to determine associations between BPCI participation and SNF finances and across-facility differences in SNF financial performance. DESIGN, SETTING, AND PARTICIPANTS: A longitudinal study spanning 2010-2017, based on difference-in-differences analyses for 575 persistent-participation SNFs, 496 dropout SNFs, and 13,630 eligible nonparticipating SNFs. MAIN OUTCOME MEASURES: Inflation-adjusted operating expenses, revenues, profit, and profit margin. RESULTS: BPCI was associated with reductions of $0.63 million in operating expenses and $0.57 million in operating revenues for the persistent-participation group but had no impact on the dropout group compared with nonparticipating SNFs. Among persistent-participation SNFs, the BPCI-related declines were $0.74 million in operating expenses and $0.52 million in operating revenues for majority-serving SNFs; and $1.33 and $0.82 million in operating expenses and revenues, respectively, for non-Medicaid-dependent SNFs. The between-facility SES gaps in operating expenses were reduced (differential difference-in-differences estimate=$1.09 million). Among dropout SNFs, BPCI showed mixed effects on across-facility SES and racial/ethnic differences in operating expenses and revenues. The BPCI program showed no effect on operating profit measures. CONCLUSIONS: BPCI led to reduced operating expenses and revenues for SNFs that participated and remained in the program but had no effect on operating profit indicators and mixed effects on SES and racial/ethnic differences across SNFs.

Changes in Health and Quality of Life in US Skilled Nursing Facilities by COVID-19 Exposure Status in 2020.

Importance: During the COVID-19 pandemic, the US federal government required that skilled nursing facilities (SNFs) close to visitors and eliminate communal activities. Although these policies were intended to protect residents, they may have had unintended negative effects. Objective: To assess health outcomes among SNFs with and without known COVID-19 cases. Design, Setting, and Participants: This retrospective observational study used US Medicare claims and Minimum Data Set 3.0 for January through November in each year beginning in 2018 and ending in 2020 including 15 477 US SNFs with 2 985 864 resident-years. Exposures: January through November of calendar years 2018, 2019, and 2020. COVID-19 diagnoses were used to assign SNFs into 2 mutually exclusive groups with varying membership by month in 2020: active COVID-19 (≥1 COVID-19 diagnosis in the current or past month) or no-known COVID-19 (no observed diagnosis by that month). Main Outcomes and Measures: Monthly rates of mortality, hospitalization, emergency department (ED) visits, and monthly changes in activities of daily living (ADLs), body weight, and depressive symptoms. Each SNF in 2018 and 2019 served as its own control for 2020. Results: In 2018-2019, mean monthly mortality was 2.2%, hospitalization 3.0%, and ED visit rate 2.9% overall. In 2020, among active COVID-19 SNFs compared with their own 2018-2019 baseline, mortality increased by 1.60% (95% CI, 1.58% to 1.62%), hospitalizations decreased by 0.10% (95% CI, -0.12% to -0.09%), and ED visit rates decreased by 0.57% (95% CI, -0.59% to -0.55%). Among no-known COVID-19 SNFs, mortality decreased by 0.15% (95% CI, -0.16% to -0.13%), hospitalizations by 0.83% (95% CI, -0.85% to -0.81%), and ED visits by 0.79% (95% CI, -0.81% to -0.77%). All changes were statistically significant. In 2018-2019, across all SNFs, residents required assistance with an additional 0.89 ADLs between January and November, and lost 1.9 lb; 27.1% had worsened depressive symptoms. In 2020, residents in active COVID-19 SNFs required assistance with an additional 0.36 ADLs (95% CI, 0.34 to 0.38), lost 3.1 lb (95% CI, -3.2 to -3.0 lb) more weight, and were 4.4% (95% CI, 4.1% to 4.7%) more likely to have worsened depressive symptoms, all statistically significant changes. In 2020, residents in no-known COVID-19 SNFs had no significant change in ADLs (-0.06 [95% CI, -0.12 to 0.01]), but lost 1.8 lb (95% CI, -2.1 to -1.5 lb) more weight and were 3.2% more likely (95% CI, 2.3% to 4.1%) to have worsened depressive symptoms, both statistically significant changes. Conclusions and Relevance: Among skilled nursing facilities in the US during the first year of the COVID-19 pandemic and prior to the availability of COVID-19 vaccination, mortality and functional decline significantly increased at facilities with active COVID-19 cases compared with the prepandemic period, while a modest statistically significant decrease in mortality was observed at facilities that had never had a known COVID-19 case. Weight loss and depressive symptoms significantly increased in skilled nursing facilities in the first year of the pandemic, regardless of COVID-19 status.

Acute Ischemic Stroke and COVID-19: An Analysis of 27 676 Patients.

BACKGROUND AND PURPOSE: Acute ischemic stroke may occur in patients with coronavirus disease 2019 (COVID-19), but risk factors, in-hospital events, and outcomes are not well studied in large cohorts. We identified risk factors, comorbidities, and outcomes in patients with COVID-19 with or without acute ischemic stroke and compared with patients without COVID-19 and acute ischemic stroke. METHODS: We analyzed the data from 54 health care facilities using the Cerner deidentified COVID-19 dataset. The dataset included patients with an emergency department or inpatient encounter with discharge diagnoses codes that could be associated to suspicion of or exposure to COVID-19 or confirmed COVID-19. RESULTS: A total of 103 (1.3%) patients developed acute ischemic stroke among 8163 patients with COVID-19. Among all patients with COVID-19, the proportion of patients with hypertension, diabetes, hyperlipidemia, atrial fibrillation, and congestive heart failure was significantly higher among those with acute ischemic stroke. Acute ischemic stroke was associated with discharge to destination other than home or death (relative risk, 2.1 [95% CI, 1.6-2.4]; P<0.0001) after adjusting for potential confounders. A total of 199 (1.0%) patients developed acute ischemic stroke among 19 513 patients without COVID-19. Among all ischemic stroke patients, COVID-19 was associated with discharge to destination other than home or death (relative risk, 1.2 [95% CI, 1.0-1.3]; P=0.03) after adjusting for potential confounders. CONCLUSIONS: Acute ischemic stroke was infrequent in patients with COVID-19 and usually occurs in the presence of other cardiovascular risk factors. The risk of discharge to destination other than home or death increased 2-fold with occurrence of acute ischemic stroke in patients with COVID-19.

First Year of Skilled Nursing Facility Value-based Purchasing Program Penalizes Facilities With Poorer Financial Performance.

BACKGROUND: The Skilled Nursing Facility Value-based Purchasing Program (SNF-VBP) incentivizes facilities to coordinate care, improve quality, and lower hospital readmissions. However, SNF-VBP may unintentionally punish facilities with lower profit margins struggling to invest resources to lower readmissions. OBJECTIVE: The objective of this study was to estimate the SNF-VBP penalty amounts by skilled nursing facility (SNF) profit margin quintiles and examine whether facilities with lower profit margins are more likely to be penalized by SNF-VBP. RESEARCH DESIGN: We combined the first round of SNF-VBP performance data with SNF profit margins and characteristics data. Our outcome variables included estimated penalty amount and a binary measure for whether facilities were penalized by the SNF-VBP. We categorized SNFs into 5 profit margin quintiles and examined the relationship between profit margins and SNF-VBP performance using descriptive and regression analysis. RESULTS: The average profit margins for SNFs in the lowest profit margin quintile was -14.4% compared with the average profit margin of 11.1% for SNFs in the highest profit margin quintile. In adjusted regressions, SNFs in the lowest profit margin quintile had 17% higher odds of being penalized under SNF-VBP compared with facilities in the highest profit margin quintile. The average penalty for SNFs in the lowest profit margin quintile was $22,312. CONCLUSIONS: SNFs in the lowest profit margins are more likely to be penalized by the SNF-VBP, and these losses can exacerbate quality problems in SNFs with lower quality. Alternative approaches to measuring and rewarding SNFs under SNF-VBP or programs to assist struggling SNFs is warranted, particularly considering the coronavirus disease 2019 pandemic, which requires resources for prevention and management.

The Effects of Accountable Care Organizations Forming Preferred Skilled Nursing Facility Networks on Market Share, Patient Composition, and Outcomes.

BACKGROUND: Through participation in payment reforms such as bundled payment and accountable care organizations (ACOs), hospitals are increasingly financially responsible for health care use and adverse health events occurring after hospital discharge. To improve management and coordination of postdischarge care, ACO hospitals are establishing a closer relationship with skilled nursing facilities (SNFs) through the formation of preferred SNF networks. RESEARCH DESIGN: We evaluated the effects of preferred SNF network formation on care patterns and outcomes. We included 10 ACOs that established preferred SNF networks between 2014 and 2015 in the sample. We first investigated whether hospitals "steer" patients to preferred SNFs by examining the percentage of patients sent to preferred SNFs within each hospital before and after network formation. We then used a difference-in-difference model with SNF fixed effects to evaluate the changes in patient composition and outcomes of preferred SNF patients from ACO hospitals after network formation relative to patients from other hospitals. RESULTS: We found that preferred network formation was not associated with higher market share or better outcomes for preferred SNF patients from ACO hospitals. However, we found a small increase in the average number of Elixhauser comorbidities for patients from ACO hospitals after network formation, relative to patients from non-ACO hospitals. CONCLUSIONS: After preferred SNF network formation, there is some evidence that ACO hospitals sent more complex patients to preferred SNFs, but there was no change in the volume of patients received by these SNFs. Furthermore, preferred network formation was not associated with improvement in patient outcomes.

The need for improved discharge criteria for hospitalised patients with COVID-19-implications for patients in long-term care facilities.

In the COVID-19 pandemic, patients who are older and residents of long-term care facilities (LTCF) are at greatest risk of worse clinical outcomes. We reviewed discharge criteria for hospitalised COVID-19 patients from 10 countries with the highest incidence of COVID-19 cases as of 26 July 2020. Five countries (Brazil, Mexico, Peru, Chile and Iran) had no discharge criteria; the remaining five (USA, India, Russia, South Africa and the UK) had discharge guidelines with large inter-country variability. India and Russia recommend discharge for a clinically recovered patient with two negative reverse transcription polymerase chain reaction (RT-PCR) tests 24 h apart; the USA offers either a symptom based strategy-clinical recovery and 10 days after symptom onset, or the same test-based strategy. The UK suggests that patients can be discharged when patients have clinically recovered; South Africa recommends discharge 14 days after symptom onset if clinically stable. We recommend a unified, simpler discharge criteria, based on current studies which suggest that most SARS-CoV-2 loses its infectivity by 10 days post-symptom onset. In asymptomatic cases, this can be taken as 10 days after the first positive PCR result. Additional days of isolation beyond this should be left to the discretion of individual clinician. This represents a practical compromise between unnecessarily prolonged admissions and returning highly infectious patients back to their care facilities, and is of particular importance in older patients discharged to LTCFs, residents of which may be at greatest risk of transmission and worse clinical outcomes.

High Proportion of Asymptomatic SARS-CoV-2 Infections in 9 Long-Term Care Facilities, Pasadena, California, USA, April 2020.

Our analysis of coronavirus disease prevalence in 9 long-term care facilities demonstrated a high proportion (40.7%) of asymptomatic infections among residents and staff members. Infection control measures in congregate settings should include mass testing-based strategies in concert with symptom screening for greater effectiveness in preventing the spread of severe acute respiratory syndrome coronavirus 2.

Sepsis Among Medicare Beneficiaries: 2. The Trajectories of Sepsis, 2012-2018.

OBJECTIVES: To distinguish characteristics of Medicare beneficiaries who will have an acute inpatient admission for sepsis from those who have an inpatient admission without sepsis, and to describe their further trajectories during and subsequent to those inpatient admissions. DESIGN: Analysis of paid Medicare claims via the Centers for Medicare and Medicaid Services DataLink Project. SETTING: All U.S. acute care hospitals, excepting federal hospitals (Veterans Administration and Defense Health Agency). PATIENTS: Medicare beneficiaries, 2012-2018, with an inpatient hospital admission including one or more explicit sepsis codes. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Prevalent diagnoses in the year prior to the inpatient admission; healthcare contacts in the week prior to the inpatient admission; discharges, transfers, readmissions, and deaths (trajectories) for 6 months following discharge from the inpatient admission. Beneficiaries with no sepsis inpatient hospital admission for a year prior to an index hospital admission for sepsis were nearly indistinguishable by accumulated diagnostic codes from beneficiaries who had an index hospital admission without sepsis. Although the timing of healthcare services in the week prior to inpatient hospital admission was similar among beneficiaries who would be admitted for sepsis versus those whose inpatient admission did not include a sepsis code, the setting differed: beneficiaries destined for a sepsis admission were more likely to have received skilled nursing or unskilled nursing (e.g., nursing aide for activities of daily living) care. In contrast, comparing beneficiaries who had been free of any inpatient admission for an entire year and then required an inpatient admission, acute inpatient stays that included a sepsis code led to more than three times as many deaths within 1 week of discharge, with more admissions to skilled nursing facilities and fewer discharges to home. Comparing all beneficiaries who were admitted to a skilled nursing facility after an inpatient hospital admission, those who had sepsis coded during the index admission were more likely to die in the skilled nursing facility; more likely to be readmitted to an acute inpatient hospital and subsequently die in that setting; or if they survive to discharge from the skilled nursing facility, they are more likely to go next to a custodial nursing home. CONCLUSIONS: Although Medicare beneficiaries destined for an inpatient hospital admission with a sepsis code are nearly indistinguishable by other diagnostic codes from those whose admissions will not have a sepsis code, their healthcare trajectories following the admission are worse. This suggests that an inpatient stay that included a sepsis code not only identifies beneficiaries who were less resilient to infection but also signals increased risk for worsening health, for mortality, and for increased use of advanced healthcare services during and postdischarge along with an increased likelihood of an inpatient hospital readmission.

Dementia is associated with increased mortality and poor patient-centered outcomes after vascular surgery.

OBJECTIVE: Dementia has been associated with increased complications and mortality in orthopedics and other surgical specialties, but has received limited attention in vascular surgery. Therefore, we evaluated the association of dementia with surgical outcomes for elderly patients with Medicare who underwent a variety of open and percutaneous vascular surgery procedures. METHODS: We reviewed claims data from the Centers for Medicare and Medicaid Services for beneficiaries enrolled in Medicare Part A fee-for-service insurance from January 1, 2011, to December 31, 2011, who underwent inpatient vascular surgery. Only the first surgery during the first admission was considered for analysis. Traditional outcomes (30- and 90-day mortality, intensive care admission, complications, length of stay) and patient-centered outcomes (discharge to home, extended skilled nursing facility [SNF] stay, time at home) were adjusted for patient and procedure characteristics using multilevel linear or logistic regression as appropriate. All analyses were performed using SAS (v9.4, SAS Institute Inc, Cary, NC). RESULTS: Our study included 210,918 patients undergoing vascular surgery, of whom 27,920 carried a diagnosis of dementia. The average age of the entire cohort was 75.74 years, and 55.43% were male. Patients with dementia were older and had higher rates of comorbidities compared with patients without a dementia diagnosis. The three most common defined classes of intervention excluding miscellaneous ones were cerebrovascular, peripheral arterial, and aortic cases, which jointly accounted for 53.15% of cases. Among all cases, 56.62% were open. Emergent/urgent cases were more frequent amongst those with dementia (60.66% vs 37.93%; P < .001). After adjustment, patients with dementia had increased odds of 30-day mortality (odds ratio [OR], 1.21; P < .0001) and 90-day mortality (OR, 1.63; P < .0001), extended SNF stay (OR, 3.47; P < .0001), and longer hospital length of stay (8.29 days vs 5.41 days; P < .001). They were less likely to be discharged home (OR, 0.31; P < .0001) and spent a lower fraction of time at home after discharge (63.29% vs 86.91%; P < .001). Intensive care admission and inpatient complications were similar between the two groups. CONCLUSIONS: Dementia is associated with poor traditional outcomes, including increased 30- and 90-day mortality and longer hospital lengths of stay in this large national patient sample. It is also associated with worse patient-centered outcomes, including substantially lower discharge rates to home, less time spent at home after discharge, and higher rates of extended stay in a SNF. These data should be used to counsel patients facing vascular surgery to provide goal-concordant care, particularly to patients with dementia.

Variability in Transitional Care Outcomes Across Hospitals Discharging Veterans to Skilled Nursing Facilities.

BACKGROUND: The period after transition from hospital to skilled nursing facility (SNF) is high-risk, but variability in outcomes related to transitions across hospitals is not well-known. OBJECTIVES: Evaluate variability in transitional care outcomes across Veterans Health Administration (VHA) and non-VHA hospitals for Veterans, and identify characteristics of high-performing and low-performing hospitals. RESEARCH DESIGN: Retrospective observational study using the 2012-2014 Residential History File, which concatenates VHA, Medicare, and Medicaid data into longitudinal episodes of care for Veterans. SUBJECTS: Veterans aged 65 or older who were acutely hospitalized in a VHA or non-VHA hospital and discharged to SNF; 1 transition was randomly selected per patient. MEASURES: Adverse "transitional care" outcomes were a composite of hospital readmission, emergency department visit, or mortality within 7 days of hospital discharge. RESULTS: Among the 365,942 Veteran transitions from hospital to SNF across 1310 hospitals, the composite outcome rate ranged from 3.3% to 23.2%. In multivariable analysis adjusting for patient characteristics, hospital discharge diagnosis and SNF category, no single hospital characteristic was significantly associated with the 7-day adverse outcomes in either VHA or non-VHA hospitals. Very few high or low-performing hospitals remained in this category across all 3 years. The increased odds of having a 7-day event due to being treated in a low versus high-performing hospital was similar to the odds carried by having an intensive care unit stay during the index admission. CONCLUSIONS: While variability in hospital outcomes is significant, unmeasured care processes may play a larger role than currently measured hospital characteristics in explaining outcomes.

Cross-Sectional Prevalence of SARS-CoV-2 Among Skilled Nursing Facility Employees and Residents Across Facilities in Seattle.

BACKGROUND: Skilled nursing facilities (SNFs) are high-risk settings for SARS-CoV-2 transmission. Infection rates among employees are infrequently described. OBJECTIVE: To describe SARS-CoV-2 rates among SNF employees and residents during a non-outbreak time period, we measured cross-sectional SARS-CoV-2 prevalence across multiple sites in the Seattle area. DESIGN: SARS-CoV-2 testing was performed for SNF employees and residents using quantitative real-time reverse transcription polymerase chain reaction. A subset of employees completed a sociodemographic and symptom questionnaire. PARTICIPANTS: Between March 29 and May 13, 2020, we tested 1583 employees and 1208 residents at 16 SNFs for SARS-CoV-2. MAIN MEASURE: SARS-CoV-2 testing results and symptom report among employees and residents. KEY RESULTS: Eleven of the 16 SNFs had one or more resident or employee test positive. Overall, 46 (2.9%) employees had positive or inconclusive testing for SARS-CoV-2, and among those who completed surveys, most were asymptomatic and involved in direct patient care. The majority of employees tested were female (934, 73%), and most employees were Asian (392, 30%), Black (360, 28%), or white (360, 28%). Among the 1208 residents tested, 110 (9.1%) had positive or inconclusive results. There was no association between the presence of positive residents and positive employees within a SNF (p = 0.62, McNemar's test). CONCLUSIONS: In the largest study of SNFs to date, SARS-CoV-2 infections were detected among both employees and residents. Employees testing positive were often asymptomatic and involved in direct patient care. Surveillance testing is needed for SNF employees and residents during the pandemic response.

Intensity of Care, Expenditure, and Place of Death in French Women in the Year Before Their Death From Breast Cancer: A Population-Based Study.

Health care utilization of women with breast cancer (BC) during the last year of life, together with the causes and place of death and associated expenditure have been poorly described. Women treated for BC (2014-2015) with BC as a cause of death in 2015 and covered by the national health insurance general scheme (77% of the population) were identified in the French health data system (n = 6,696, mean age: 68.7 years, SD ± 15). Almost 70% died in short-stay hospitals (SSH), 4% in hospital-at-home (HaH), 9% in Rehab, 5% in skilled nursing homes (SNH) and 12% at home. One-third presented cardiovascular comorbidity. During the last year, 90% were hospitalized at least once in SSH, 25% in Rehab, 13% in HaH and 71% received hospital palliative care (HPC), but only 5% prior to their end-of-life stay. During the last month, 85% of women were admitted at least once to a SSH, 42% via the emergency department, 10% to an ICU, 24% received inpatient chemotherapy and 18% received outpatient chemotherapy. Among the 83% of women who died in hospital, independent factors for HPC use were cardiovascular comorbidity (adjusted odds ratio, aOR: 0.83; 95%CI: 0.72-0.95) and, in the 30 days before death, at least one SNH stay (aOR: 0.52; 95%CI: 0.36-0.76), ICU stay (aOR: 0.36; 95%CI: 0.30-0.43), inpatient chemotherapy (aOR: 0.55; 95%CI: 0.48-0.63), outpatient chemotherapy (aOR: 0.60; 95%CI: 0.51-0.70), death in Rehab (aOR: 1.4; 95%CI: 1.05-1.86) or HAH (aOR: 4.5; 95%CI: 2.47-8.1) vs SSH. Overall mean expenditure reimbursed per woman was €38,734 and €42,209 for those with PC. Women with inpatient or outpatient chemotherapy during the last month had lower rates of HPC, suggesting declining use of HPC before death. This study also indicates SSH-centered management with increased use of HPC in HaH and Rehab units and decreased access to HPC in SNH.

Not All Discharge Settings Are Created Equal: Thirty-Day Readmission Risk after Elective Colorectal Surgery.

BACKGROUND: Discharge to nonhome settings after colorectal resection may increase risk of hospital readmission. OBJECTIVE: The purpose of this study was to determine the impact of various discharge dispositions on 30-day readmission after adjusting for confounding demographic and clinical factors. DESIGN: This was a retrospective cohort study. SETTINGS: Data were obtained from the University HealthSystem Consortium (2011-2015). PATIENTS: Adults who underwent elective colorectal resection were included. MAIN OUTCOME MEASURES: Thirty-day hospital readmission risk was measured. RESULTS: The mean age of the study population (n = 97,455) was 58 years; half were men and 78% were white. Seventy percent were discharged home routinely (home without service), 24% to home with organized health services, 5% to skilled nursing facility, 1% to rehabilitation facility, and <1% to long-term care hospital. Overall rate of readmission was 12%; 9% from home without service, 16% from home with organized home health services, 19% from skilled nursing facility, 34% from rehabilitation facility, and 22% from long-term care hospital (p < 0.001). Patients with an intensive care unit stay, more postoperative complications, and longer hospitalization stay were more likely to be discharged to home with organized home health services or to a facility (p < 0.001). Discharge to home with organized home health services, skilled nursing facility, or rehabilitation facility increased multivariable-adjusted readmission risk by 30% (OR = 1.3 (95% CI, 1.3-1.6)), 60% (OR = 1.6 (95% CI, 1.5-1.8)), or 200% (OR = 3.0 (95% CI, 2.5-3.6)). Discharge to long-term care hospital was not associated with higher adjusted readmission risk (OR = 1.2 (95% CI, 0.9-1.6)), despite this group having the highest comorbidity and postoperative complications. Among patients readmitted within 30 days, median time to readmission was significantly different among home without service (n = 7), home with organized home health services (n = 8), skilled nursing facility (n = 8), rehabilitation facility (n = 9), and long-term care hospital (n = 12; p < 0.001). LIMITATIONS: This study was limited by its retrospective nature. CONCLUSIONS: Discharge to home with organized home health services, skilled nursing facility, or rehabilitation facility, but not long-term care hospital, is associated with increased adjusted risk of readmission compared with routine home discharge. Potential targets to decrease readmission include improving transition of care at discharge, improving quality of care after discharge, and improving facility resources. See Video Abstract at http://links.lww.com/DCR/B272. NO TODAS LAS CONFIGURACIONES DE ALTA SON IGUALES: RIESGOS DE READMISIÓN A 30 DÍAS DESPUÉS DE CIRUGÍA COLORRECTAL ELECTIVA: El alta hospitalaria hacia el domicilio luego de una resección colorrectal puede aumentar el riesgo de readmisión.Determinar el impacto de varias configuraciones diferentes de alta en la readmisión a 30 días luego de ajustar factores demográficos y clínicos.Estudio de cohortes retrospectivo.Los datos se obtuvieron del Consorcio del Sistema de Salud Universitaria (2011-2015).Todos aquellos adultos que se sometieron a una resección colorrectal electiva.Los riesgos de readmisión hospitalaria a 30 días.La edad media de la población estudiada (n = 97,455) fué de 58 años; la mitad eran hombres y un 78% eran blancos. El 70% fueron dados de alta de manera rutinaria (a domicilio sin servicios complementarios), 24% alta a domicilio con servicios de salud organizados, 5% alta hacia un centro con cuidados de enfermería especializada, 1% alta hacia un centro de rehabilitación y <1% alta hacia un hospital con atención a largo plazo. La tasa global de readmisión fué del 12%; nueve por ciento desde domicilios sin servicios complementarios, 16% desde domicilios con servicios de salud organizados, 19% desde un centro de enfermería especializada, 34% desde el centro de rehabilitación y 22% desde un hospital con atención a largo plazo (p <0.001). Los pacientes con estadías en Unidad de Cuidados Intensivos, con más complicaciones postoperatorias y con una hospitalización prolongada tenían más probabilidades de ser dados de alta hacia un domicilio con servicios de salud organizados o hacia un centro de rehabilitación (p <0,001). El alta hospitalaria con servicios organizados de atención médica domiciliaria, centros de enfermería especializada o centros de rehabilitación aumentaron el riesgo de readmisión ajustada de múltiples variables en un 30% (OR 1.3, IC 95% 1.3-1.6), 60% (OR 1.6, IC 95% 1.5-1.8), o 200% (OR 3.0, IC 95% 2.5-3.6), respectivamente. El alta hospitalaria a largo plazo no fué asociada con un mayor riesgo de readmisión ajustada (OR 1.2, IC 95% 0.9-1.6), no obstante que este grupo fué el que tuvo las mayores comorbilidades y complicaciones postoperatorias. Entre los pacientes readmitidos dentro de los 30 días, la mediana del tiempo hasta el reingreso fue significativamente diferente entre el domicilio sin servicios complementarios (7), domicilio con servicios de salud organizados (8), el centro de cuidados de enfermería especializada (8), centros de rehabilitación (9) y hospitales con atención a largo plazo (12) (p <0,001).Naturaleza retrospectiva del presente estudio.El alta hospitalaria con servicios de salud domiciliarios organizados, hacia centros de enfermería especializada o hacia centros de rehabilitación se asocian con un mayor riesgo ajustado de readmisión en comparación con el alta domiciliaria de rutina y los hospitales con atención a largo plazo. Los objetivos potenciales para disminuir la readmisión incluyen mejorar la transición de la atención al momento del alta, mejorar la calidad de la atención después del alta y mejorar las diferentes facilidades para los pacientes. Consulte Video Resumen en http://links.lww.com/DCR/B272.

The 5-Item Modified Frailty Index Predicts Adverse Outcomes in Trauma.

BACKGROUND: The 5-item modified frailty index (mFI-5) has been shown to predict adverse outcomes in surgery; yet, its role in trauma patients is unclear. We hypothesized that increasing frailty, as indicated by increasing mFI-5 scores, would correlate with worse outcomes and greater mortality in trauma patients. METHODS: We performed a retrospective review of patients captured by our 2018 Spring and Fall Trauma Quality Improvement Program registry. The mFI-5 was calculated by assigning one point for each comorbidity present: diabetes, hypertension, congestive heart failure, chronic obstructive pulmonary disease, and functionally dependent health status. Outcomes included complications, length of stay, mortality, and discharge location. RESULTS: A total of 3364 patients were included; 68.0% (n = 2288) were not frail, 16.5% (n = 555) were moderately frail, and 15.5% (n = 521) were severely frail. Higher frailty scores were associated with greater rates of unplanned intubations (P < 0.01) and unplanned admissions to the intensive care unit (P < 0.01). Rates of nonhome discharge (P < 0.0001) were significantly higher in the severe frailty group compared with the moderate and no frailty groups. On multivariable regression adjusting for demographics and injury details, severe frailty was predictive of any complication (odds ratio [OR], 1.53; 95% confidence interval [95% CI], 1.12-2.11; P < 0.01), failure to rescue (OR, 2.88; 95% CI, 1.47-5.66; P = 0.002), nonhome discharge (OR, 1.88; 95% CI, 1.47-2.40; P < 0.0001), and mortality (OR, 1.83; 95% CI, 1.07-3.15; P = 0.03). CONCLUSIONS: Frailty is not only associated with longer hospitalizations but also with more complications, adverse discharge locations, and increased odds of mortality. The mFI-5 is a quick and intuitive tool that can be used to determine an individual's frailty at the time of admission.

Opioid prescribing on discharge to skilled nursing facilities.

PURPOSE: Skilled nursing facility (SNF) residents are at increased risk for opioid-related harms. We quantified the frequency of opioid prescribing among patients discharged from an acute care hospital to SNFs. METHODS: This was a retrospective cohort study among adult (≥18 years) inpatients discharged from a quaternary-care academic referral hospital in Portland, OR to a SNF between January 1, 2017 and December 31, 2018. Our primary outcome was receipt of an opioid prescription on discharge to a SNF. Our exposures included patient demographics (eg, age, sex), comorbid illnesses, surgical diagnosis related group (DRG), receiving opioids on the first day of the index hospital admission, and inpatient hospital length of stay. RESULTS: Among 4374 patients discharged to a SNF, 3053 patients (70%) were prescribed an opioid on discharge. Among patients prescribed an opioid, 61% were over the age of 65 years, 50% were male, and 58% had a surgical Medicare severity diagnosis related group (MS-DRG). Approximately 70% of patients discharged to a SNF were prescribed an opioid on discharge, of which 68% were for oxycodone, and 52% were for ≥90 morphine milligram equivalents per day. Surgical DRG, diagnoses of cancer or chronic pain, last pain score, and receipt of an opioid on first day of the index hospital admission were independently associated with being prescribed an opioid on discharge to a SNF. CONCLUSION: Opioids were frequently prescribed at high doses to patients discharged to a SNF. Efforts to improve opioid prescribing safety during this transition may be warranted.

Impact of Malnutrition on Outcomes in Patients Undergoing Transjugular Intrahepatic Portosystemic Shunt Insertion.

BACKGROUND: Malnutrition is common in patients with cirrhosis and is associated with poor outcomes after hepatic resection and liver transplantation. Transjugular intrahepatic portosystemic shunt (TIPS) is performed for complications of cirrhosis. AIM: To assess the impact of malnutrition on TIPS outcomes. METHODS: A retrospective analysis was performed using the Healthcare Cost and Utilization Project: National Inpatient Sample database for TIPS procedures from 2005 to 2014. The primary end point was in-hospital mortality. The association of specific malnutrition diagnostic codes and race-ethnicity on mortality was evaluated with survey-weighted logistic regression adjusted for age, gender, admission type, insurance payer, hospital region, comorbidities, and length of stay (LOS). RESULTS: From 2005 to 2014, an estimated 53,207 (95% CI 49,330-57,085) admissions with TIPS occurred. A diagnosis of malnutrition was present in 11%. In-hospital death post-TIPS occurred in 15.0% versus 10.7% (p value < 0.001) of patients with and without malnutrition, respectively. Patients with malnutrition had longer post-procedural LOS (median 6.7 vs. 2.9 days, p value < 0.001) and greater total hospital charges (median $144,752 vs. $79,781, p value < 0.001) and were more likely to be discharged to a skilled nursing facility (21.6% vs. 9.7%) than patients without malnutrition. Patients with malnutrition had increased odds of mortality (OR 1.31, 95% CI 1.07, 1.59) compared to patients with no malnutrition. CONCLUSION: Malnutrition was associated with worse outcomes after TIPS. Further research is needed to understand the mechanism of malnutrition in post-procedure outcomes and the ability of interventions for nutritional optimization to improve outcomes.

Predictors of Discharge Settings After Total Knee Arthroplasty in Medicare Patients.

OBJECTIVES: To determine the factors associated with acute hospital discharge to the 3 most common postacute settings following total knee arthroplasty (TKA): inpatient rehabilitation facilities (IRFs), skilled nursing facilities (SNFs), and directly back to the community. DESIGN: Retrospective cohort study. SETTING: Acute care hospitals submitting claims to Medicare. PARTICIPANTS: National cohort (N=1,189,286) of 100% Medicare Part A data files from 2009-2011. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Observed rates and adjusted odds of discharge to the 3 main postacute settings based on the clinical and facility level variables: amount of comorbidity, bilateral procedures, and facility TKA volume. RESULTS: Using IRF discharge as the reference, patients who received a bilateral procedure had lower odds of both SNF and community discharge, patients with more comorbidity had lower odds for community discharge and higher odds for SNF discharge, and patients who received their TKA from hospitals with lower TKA volumes had lower odds of SNF and community discharge. CONCLUSIONS: Clinical populations within Medicare beneficiaries may systematically vary across the 3 most common discharge settings following TKA. This information may be helpful for a better understanding on which patient or clinical factors influence postacute care settings following TKA. Additional research including functional status, living situation, and social support systems would be beneficial.