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Background: Falls and extremity fractures often occur in people living with Alzheimer's disease and related disorders (ADRD). In post-fracture care, these patients are cared for either at rehabilitation facilities or their homes. The coronavirus disease 2019 (COVID-19) pandemic limited the utilization of rehabilitation facilities. In areas with provider shortages, this trend poses a risk of disability and caregiver burdens, particularly in racial minorities who under-utilize rehabilitation facilities., Objective: To assess racial disparities in post-acute care (PAC) at rehabilitation facilities among people living with ADRD and extremity fractures during the COVID-19 pandemic., Methods: We summarized the PAC locations by (1) rehabilitation facilities (skilled nursing facilities and inpatient rehabilitation facilities) and (2) homes (homes with self-care and homes with services) for each study year. We observed the yearly percentage trends in PAC at rehabilitation facilities over the total post-acute discharge period. We assessed demographics (age, sex, and race), clinical comorbidities (fracture sites), utilization factors (pay source and hospital location), and COVID-19 pandemic status (pre-/post-pandemic years). We used multivariate logistic regression to estimate the association between these factors and PAC in the rehabilitation facilities., Results: The proportion of individuals receiving PAC declined in rehabilitation facilities, whereas the proportion of individuals receiving PAC at home with services continuously increased. Being Hispanic, presence of cerebrovascular disorder (CVD), use of Medicaid services, and the COVID-19 pandemic were associated with lower probabilities of utilizing rehabilitation facilities., Conclusion: Among the individuals with ADRD and extremity fractures, the proportion of those who underutilized rehabilitation facilities was higher in Hispanics compared with other races. Caregiving for Hispanics, presence of CVD, and use of Medicaid services were associated with the risk of disability and caregiver burden, due to shifting trends from rehabilitation facilities to homes with services. Geriatric workforce education should be prioritized to enhance the competencies of healthcare providers serving these individuals to relieve caregiver burdens in areas with provider shortage., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Oh, Yoo, Chaudhry, Jeong, Bae, Mohanadasan, Frimer, Kim and Shen.)

Introduction: Cardiac surgery remains highly morbid and requires significant postoperative care. The use of postacute care facilities, such as skilled nursing facilities (SNFs) has grown in popularity to reduce healthcare spendings. Currently, sex and race disparities associated with SNF use after cardiac surgery are poorly understood., Method: Patients who underwent coronary artery bypass graftingfrom June 2016 to December 2018 were identified in Medicare Provider Analysis and Review data. Patients were stratified into 4 groups based on sex and race as follows: White male, White female, Black male, and Black female. The impact of sex and race on SNF use and the associated outcomes were evaluated using logistic regression and Cox-proportional hazards analysis., Result: Of the 93,727 patients who underwent coronary artery bypass grafting, 67,244 (71.7%) were White males, 2517 (2.7%) were Black males, 22,187 (23.7%) were White females, and 1779 (1.9%) were Black females. Black female patients (37.1%) were most likely to be discharged to SNF, followed by White females (33.7%), Black males (24.9%), and White males (18.9%) (P < 0.001). After adjustment, Black males (OR = 1.34, 95% CI: 1.21-1.49), White females (OR = 1.82, 95% CI: 1.75-2.13), and Black females (OR = 1.90, 95% CI: 1.70-2.13) were more likely to be discharged to SNF compared to White males. However, of the patients discharged to SNF, only White females and Black females had better overall survival when compared to White men., Conclusions: Significant disparities in the use of SNF after cardiac surgery are present across sex and race categories; however, the 1-y mortality benefit after risk adjustment does not reflect these differences., (Copyright © 2024. Published by Elsevier Inc.)

Introduction: People living with dementia are less likely to be admitted to high-rated nursing homes than people without dementia, despite their increased care needs. We investigated the effect of admission to nursing homes with higher staffing ratings on adverse outcomes for individuals with and without dementia post-hospitalization., Methods: Among Traditional Medicare beneficiaries discharged to nursing homes between 2011 and 2017, we examined the relationship between facility staffing star-ratings and short-term readmission and mortality using an instrumental variables approach to account for selection bias. The instrumental variables were the number of nearby vacant beds in high-rated facilities., Results: Admission to a higher-rated nursing home lowered post-discharge mortality risk at 90 days and reduced 30- and 90-day readmission. Point estimates were larger for people with dementia., Discussion: Findings underscore the need for enhancing direct care staffing in nursing homes and addressing access disparities, particularly for individuals with dementia who benefit significantly from high-quality care., Highlights: We assessed how admission to nursing homes with higher staffing ratings impacted outcomes for individuals with and without dementia by exploiting variation in local bed vacancies as a source of quasi-random assignment. For both persons with and without dementia, adjusted short-term mortality and readmission rates were lower among those discharged to nursing homes with higher staffing ratings. Effects were larger for persons with dementia, indicating welfare loss from inequitable access to higher-rated nursing homes. Increasing staffing in nursing homes and reducing disparities for persons with dementia is essential for enhancing both equity and value., (© 2024 The Author(s). Alzheimer's & Dementia published by Wiley Periodicals LLC on behalf of Alzheimer's Association.)

Background: As the volume of total joint arthroplasty in the US continues to grow, new challenges surrounding appropriate discharge surface. Arthroplasty literature has demonstrated discharge disposition to postacute care facilities carries major risks regarding the need for revision surgery, patient comorbidities, and financial burden. To quantify, categorize, and mitigate risks, a decision tool that uses preoperative patient variables has previously been published and validated using an urban patient population. The aim of our investigation was to validate the same predictive model using patients in a rural setting undergoing total knee arthroplasty (TKA) and total hip arthroplasty., Methods: All TKA and THA procedures that were performed between January 2012 and September 2022 at our institution were collected. A total of 9,477 cases (39.6% TKA, 60.4% THA) were included for the validation analysis. There were 9 preoperative variables that were extracted in an automated fashion from the electronic medical record. Included patients were then run through the predictive model, generating a risk score representing that patient's differential risk of discharge to a skilled nursing facility versus home. Overall accuracy, sensitivity and specificity were calculated after obtaining risk scores., Results: Score cutoff equally maximizing sensitivity and specificity was 0.23, and the proportion of correct classifications by the predictive tool in this study population was found to be 0.723, with an area under the curve of 0.788 - both higher than previously published accuracy levels. With the threshold of 0.23, sensitivity and specificity were found to be 0.720 and 0.723, respectively., Conclusions: The risk calculator showed very good accuracy, sensitivity, and specificity in predicting discharge location for rural patients undergoing TKA and THA, with accuracy even higher than in urban populations. The model provides an easy-to-use interface, with automation representing a viable tool in helping with shared decision-making regarding postoperative discharge plans., (Copyright © 2024. Published by Elsevier Inc.)

Introduction: The purpose of this retrospective cohort study was to assess differences in complication rates, early readmission rates, and reasons for readmission following TKA based on discharge destination. Secondarily, we aimed to identify independent risk factors for developing any adverse event (AAE) in the 30-day postoperative period., Methods: The American College of Surgeons (ACS) National Surgical Quality Improvement Program (NSQIP) was filtered using current procedural terminology (CPT) codes to identify patients undergoing TKA from 2015 to 2020. Patients were divided into three cohorts based on discharge destination: home, skilled nursing facility (SNF), or inpatient rehabilitation facility (IRF). Propensity score matching was used to account for confounding variables. Statistical analysis was conducted using one-way analysis of variance (ANOVA), Chi-square tests, and multivariable logistic regression., Results: 352,824 patients were initially identified with 303,375 discharged home, 31,635 discharged to SNF, and 17,814 discharged to IRF. Following propensity score matching, there were 5,000 patients in each cohort. Regarding postoperative complications, the home cohort had significantly a lower readmission rate (p = 0.01) and rate of any adverse event (p < 0.001) when compared to the IRF and SNF cohorts. The IRF cohort had a significantly higher rate of AAE than the SNF cohort or the home cohort. On multivariable analysis, increasing age, increasing BMI, increasing length of hospital stay, male sex, American Society of Anesthesiologists (ASA) classification four, and history of COPD were all found to be independent risk factors for developing AAE., Conclusions: This study demonstrates that patients who are discharged to a rehabilitation facility or SNF following TKA experienced significantly higher rates of readmission and postoperative complications than patients discharged home, even after controlling for baseline demographic differences and comorbidities. Given the high financial burden associated with these facilities, it is important for physicians to consider these potential impacts on outcomes when determining patient disposition following TKA., Competing Interests: Declarations. Ethics approval and consent to participate: IRB approval was not sought, as the ACS NSQIP is a nationally used database consisting of only deidentified data. Consent for publication: Not applicable. Competing interests: The authors declare no competing interests., (© 2024. The Author(s).)

Objective: With an aging population and higher prevalence of dementia, there is a paucity of data regarding dementia patients undergoing cardiovascular surgery. We examined the nationwide trends and outcomes of cardiovascular surgery patients with dementia to determine its effect on morbidity, mortality, and discharge disposition., Methods: From 2002 to 2014, 11,414 (0.27%) of the 4,201,697 cardiac surgery patients from the Nationwide Inpatient Sample had a preoperative diagnosis of dementia. Propensity-score matching was used to balance dementia and non-dementia groups. Primary outcomes included postoperative morbidity, mortality, and discharge to skilled nursing facility (SNF)., Results: Dementia patients were more often male (67%) and 65-84 years old (84%). Postoperative mortality among patients with dementia was lower compared to patients without dementia (3.4% vs. 4.6%, p < 0.05). In dementia patients, there were more complications (65% vs. 60%, p < 0.01), more blood transfusions [OR 1.3, 95%CI (1.1, 1.5), p < 0.01] and delirium [OR 3.6, 95%CI (2.9, 4.5), p < 0.0001). Dementia patients (n = 5,623, 49.8%) were twice as likely to be discharged to SNF [OR 2.1, 95%CI (1.9, 2.4), p < 0.0001]. Dementia patients discharged to SNF more often had delirium (18.2% vs. 12%, p < 0.01), renal complications (17% vs. 8%, p < 0.01), and prolonged mechanical ventilation (15% vs. 8%, p < 0.01)., Conclusions: Despite an aging population with increasing prevalence of dementia, patients with dementia can undergo cardiovascular surgery with a lower in-hospital mortality and similar hospitalization costs compared to their non-dementia counterparts. Dementia patients are more likely to experience complications and require discharge to skilled nursing facility. Careful patient selection and targeted physical therapy may help mitigate some dementia associated complications., Competing Interests: Declarations Competing interests Dr. Soltesz discloses a financial relationship with Abiomed, Atricure, and Abbott that are not relevant to this manuscript. The authors have no conflict of interest and will not receive financial support for this manuscript.Dr. GIllinov discloses a financial relationship with Edwards Lifesciences, Medtronic, Abbott, CryoLife, ClearFlow, Johnson and Johnson and Atricure that are not relevant to this manuscript.The authors have no conflict of interest and will not receive financial support for this manuscript., (© 2024. The Author(s).)

Background: Whether cognitive and functional recovery in skilled nursing facilities (SNF) following hospitalization differs by delirium and Alzheimer's disease related dementias (ADRD) has not been examined., Objective: To compare change in cognition and function among short-stay SNF patients with delirium, ADRD, or both., Design: Retrospective cohort study using claims data from 2011 to 2013., Setting: Centers for Medicare and Medicaid certified SNFs., Participants: A total of 740,838 older adults newly admitted to a short-stay SNF without prevalent ADRD who had at least two assessments of cognition and function., Measurements: Incident delirium was measured by the Minimum Data Set (MDS) Confusion Assessment Method and ICD-9 codes, and incident ADRD by ICD-9 codes and MDS diagnoses. Cognitive improvement was a better or maximum score on the MDS Brief Interview for Mental Status, and functional recovery was a better or maximum score on the MDS Activities of Daily Living Scale., Results: Within 30 days of SNF admission, the rate of cognitive improvement in patients with both delirium/ADRD was half that of patients with neither delirium/ADRD (HR = 0.45, 95% CI:0.43, 0.46). The ADRD-only and delirium-only groups also were 43% less likely to have improved cognition or function compared to those with neither delirium/ADRD (HR = 0.57, 95% CI:0.56, 0.58 and HR = 0.57, 95% CI:0.55, 0.60, respectively). Functional improvement was less likely in patients with both delirium/ADRD, as well (HR = 0.85, 95% CI:0.83, 0.87). The ADRD only and delirium only groups were also less likely to improve in function (HR = 0.93, 95% CI:0.92, 0.94 and HR = 0.92, 95% CI:0.90, 0.93, respectively) compared to those with neither delirium/ADRD., Conclusions: Among older adults without dementia admitted to SNF for post-acute care following hospitalization, a positive screen for delirium and a new diagnosis of ADRD, within 7 days of SNF admission, were both significantly associated with worse cognitive and functional recovery. Patients with both delirium and new ADRD had the worst cognitive and functional recovery., (© 2024 The Author(s). Journal of the American Geriatrics Society published by Wiley Periodicals LLC on behalf of The American Geriatrics Society.)

Objective: The aims of this scoping review were to summarize the evidence regarding sex, racial, ethnic, geographic, and socioeconomic disparities in post-acute rehabilitation following total hip arthroplasty (THA) and knee arthroplasty (TKA)., Methods: Literature searches were conducted in Ovid MEDLINE, EMBASE, CINAHL, Web of Science, and PEDro. Studies were included if they were original research articles published 1993 or later; used data from the US; included patients after THA and/or TKA; presented results according to relevant sociodemographic variables, including sex, race, ethnicity, geography, or socioeconomic status; and studied the utilization of post-acute rehabilitation as an outcome., Results: Twelve studies met the inclusion criteria. Five examined disparities in inpatient rehabilitation and found that Black patients and women experience longer lengths of stay after arthroplasty, and women are less likely than men to be discharged home after inpatient THA rehabilitation. Four studies examined data from skilled nursing facilities and found that insurance type and dual eligibility impact length of stay and rates of community discharge but found conflicting results regarding racial disparities in skilled nursing facility utilization after TKA. Five studies examined home health data and noted that rural agencies provide less care after TKA. Results regarding racial disparities in home health utilization after arthroplasty were conflicting. Six studies of outpatient rehabilitation noted geographic differences in timing of outpatient rehabilitation but mixed results regarding race differences in outpatient rehabilitation., Conclusion: Current evidence indicates that sex, race, ethnicity, geography, and socioeconomic status are associated with disparities in postacute rehabilitation use after arthroplasty., Impact: Rehabilitation providers across the postacute continuum should be aware of disparities in the population of patients after arthroplasty and regularly assess social determinants of health and other factors that may contribute to disparities. Customized care plans should ensure optimal timing and amount of rehabilitation is provided, and advocate for patients who need additional care to achieve the desired functional outcome., (© 2024 American Physical Therapy Association. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Objective: To describe the results of a program developed to manage institutional postacute care (IPAC) (postacute skilled nursing, inpatient rehabilitation facility, and long-term acute care) in a CMS Bundled Payments for Care Improvement (BPCI) project for coronary artery bypass graft (CABG) surgery., Study Design: We compared pre- and postutilization patterns during a 3-year period by evaluating risk-adjusted national, state, and other BPCI participant comparisons using a difference-in-differences (DID) analysis in a large urban community tertiary center with a CABG surgery program. Included in the analysis were all Medicare patients receiving CABG surgery at the institution (n = 504), across the nation (n = 213,423), and at other BPCI institutions (n = 4939)., Methods: The intervention included (1) use of a standardized tool for evaluation and prognostication of patient placement, (2) programmatic changes to manage patient functional recovery, and (3) patient and family engagement in postacute placement and functional recovery plan., Results: Physical therapist/occupational therapist time with patients who had undergone CABG surgery increased by more than 179% between the pre- and postintervention periods. This was associated with a 41.2% and 51.6% decline in IPAC use at the institution on an observed basis and adjusted basis, respectively. DID comparison demonstrated a 14.40% (95% CI, -19.30% to -9.60%) greater reduction at the target hospital than at other participating BPCI hospitals., Conclusions: A strong association exists between a focused patient functional recovery program and IPAC use reduction after CABG surgery. Using a structured approach to clinical analytics and hypothesis testing of redesign efforts when managing postacute care populations removes waste from care delivery.

This study investigated the association between Medicaid Home and Community-Based Services (HCBS) generosity and post-discharge outcomes among dual-eligible beneficiaries discharged from skilled nursing facilities (SNFs). We linked multiple national datasets for duals discharged from SNFs between 2010 and 2013. Accounting for SNF fixed effects, we estimated the effect of HCBS generosity, measured by its breadth and intensity, on the likelihood of remaining in the community, risks of death, nursing home (NH) admission, and hospitalizations within 30 and 180 days after SNF discharge. We found that higher HCBS generosity was associated with an increased likelihood of remaining in the community. HCBS breadth and intensity were both significantly associated with reduced risks of NH admission, while higher HCBS intensity was related to a reduced risk of acute hospitalizations within 30 days after discharge. Our findings suggest that more generous HCBS programs may facilitate smoother transitions and sustainable community living following SNF discharge., Competing Interests: Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Objective: Medicaid-funded long-term services and supports are increasingly provided through home- and community-based services (HCBS) to promote continued community living. While an emerging body of evidence examines the direct benefits and costs of HCBS, there may also be unexplored synergies with Medicare-funded post-acute care (PAC). This study aimed to provide empirical evidence on how the use of Medicaid HCBS influences Medicare PAC utilization among the dually enrolled., Data Sources: National Medicare claims, Medicaid claims, nursing home assessment data, and home health assessment data from 2016 to 2018., Study Design: We estimated the relationship between prior Medicaid HCBS use and PAC (skilled nursing facilities [SNF] or home health) utilization in a national sample of duals with qualifying index hospitalizations. We used inverse probability weights to create balanced samples on observed characteristics and estimated multivariable regression with hospital fixed effects and extensive controls. We also conducted stratified analyses for key subgroups., Data Extraction Methods: The primary sample included 887,598 hospital discharges from community-dwelling duals who had an eligible index hospitalization between April 1, 2016, and September 30, 2018., Principal Findings: We found HCBS use was associated with a 9 percentage-point increase in the use of home health relative to SNF, conditional on using PAC, and a meaningful reduction in length of stay for those using SNF. In addition, in our primary sample, we found HCBS use to be associated with an overall increase in PAC use, given that the absolute increase in home health use was larger than the absolute decrease in SNF use. In other words, the use of Medicaid-funded HCBS was associated with a shift in Medicare-funded PAC use toward home-based settings., Conclusion: Our findings indicate potential synergies between Medicaid-funded HCBS and increased use of home-based PAC, suggesting policymakers should cautiously consider these dynamics in HCBS expansion efforts., (© 2024 The Author(s). Health Services Research published by Wiley Periodicals LLC on behalf of Health Research and Educational Trust.)

Objectives: To examine prevalence and risk correlates for post-traumatic stress disorder (PTSD) occurring during or after admission to a Veterans Administration (VA) skilled nursing facility., Design: Retrospective cohort analysis of electronic health record information extracted from the VA Corporate Data Warehouse., Setting: United States VA skilled nursing facility., Participants: 57,414 Veterans age 60+ with an admission during five fiscal years, 2018-2022, excluding those who died within six months of admission or were still admitted., Measurements: The dependent variable was PTSD diagnosis during or six-months following the admission. Risk correlates examined were: age, gender, race, rurality, clinical complexity, prior dementia diagnosis, length of stay, and facility size; odds ratios (OR) and confidence intervals (CI) are provided for each correlate., Results: 19.1% of Veterans had a diagnosis of PTSD, associated with younger age (age 60-69 compared to age 80+; OR: 2.92, 95% CI: 2.70-3.14; age 70-79 compared to age 80+ OR: 4.51, 95% CI: 4.20-4.84); female gender (OR: 1.65, 95% CI: 1.50-1.82); minoritized race (OR: 1.17, 95% CI: 1.12-1.23); higher clinical complexity (OR:1.22, 95% CI: 1.17-1.28). As compared to Veterans who had a prior PTSD diagnosis, Veterans with newly diagnosed PTSD were more likely to be older (age 60 group OR= 0.59, 95% CI:0.51-0.70; age 70 group OR= 0.54, 95% CI:0.46-0.62,), rural (OR=1.14, 95% CI:1.04-1.24) and admitted to a larger facility (OR=1.22, 95% CI:1.12-1.33)., Conclusions: PTSD is a significant concern for older Veterans admitted to VA skilled nursing facilities, supporting the need for trauma-informed care, particularly for those most at risk., Competing Interests: Disclosures The authors report no conflicts with any product mentioned or concept discussed in this article., (Copyright © 2024 American Association for Geriatric Psychiatry. Published by Elsevier Inc. All rights reserved.)

Background: Sepsis is a complex condition with high morbidity and mortality. Prompt treatment can improve survival, but for survivors the risk of deterioration and readmission remains high. Little is known about the association between discharge setting and readmission among sepsis survivors., Objective: To examine 30-day hospital readmission rates in adult sepsis survivors by the type of setting to which patients were discharged., Methods: The Medical Information Mart for Intensive Care database was used to identify adult sepsis survivors and evaluate 30-day readmission by discharge setting. A χ2 contingency analysis was used with each factor and presence/absence of readmission. The Kruskal-Wallis test was used to compare readmissions across discharge settings., Results: From our sample (N = 7107; mean age 66.5 years; 46.2% women), 23.6% (n = 1674) were readmitted within 30 days and of those readmitted, 30% were readmitted between 1 and 3 times. Discharge setting (P < .001) and age (P = .02) were significantly associated with readmission, but sex, ethnicity, and insurance type were not. High numbers of readmissions were seen in patients discharged to skilled nursing facilities (29.6%), home health care (26.9%), and home (15.0%). Similar high comorbidity burden and acuteness of illness were seen in patients discharged to these settings., Conclusions: Sepsis survivors discharged to skilled nursing facilities, home health care, and home are at high risk for 30-day readmission. The rates of readmission from home health care and home settings were alarming. Often patients are discharged to inappropriate settings, placing them at risk for residual sepsis and readmission. Future research should focus on appropriate timing of hospital discharge and transition to the most appropriate discharge setting., (©2024 American Association of Critical-Care Nurses.)

Objective: To compare adverse health events in intervention versus control group participants in the Community Participation Transition After Stroke trial to reduce barriers to independent living for community-dwelling stroke survivors., Design: Randomized controlled trial., Setting: Inpatient rehabilitation (IR) to home and community transition., Participants: Stroke survivors aged ≥50 years being discharged from IR who had been independent in activities of daily living prestroke (N=183)., Interventions: Participants randomized to intervention group (n=85) received home modifications and self-management training from an occupational therapist over 4 visits in the home. Participants randomized to control group (n=98) received the same number of visits consisting of stroke education., Main Outcome Measures: Death, skilled nursing facility (SNF) admission, 30-day rehospitalization, and fall rates after discharge from IR., Results: Time-to-event analysis revealed that the intervention reduced SNF admission (cumulative survival, 87.8%; 95% confidence interval [CI], 78.6%-96.6%) and death (cumulative survival, 100%) compared with the control group (SNF cumulative survival, 78.9%; 95% CI, 70.4%-87.4%; P=.039; death cumulative survival, 87.3%; 95% CI, 79.9%-94.7%; P=.001). Thirty-day rehospitalization also appeared to be lower among intervention participants (cumulative survival, 95.1%; 95% CI, 90.5%-99.8%) than among control participants (cumulative survival, 86.3%; 95% CI, 79.4%-93.2%; P=.050) but was not statistically significant. Fall rates did not significantly differ between the intervention group (5.6 falls per 1000 participant-days; 95% CI, 4.7-6.5) and the control group (7.2 falls per 1000 participant-days; 95% CI, 6.2-8.3; incidence rate ratio, 0.78; 95% CI, 0.46-1.33; P=.361)., Conclusions: A home-based occupational therapist-led intervention that helps stroke survivors transition to home by reducing barriers in the home and improving self-management could decrease the risk of mortality and SNF admission after discharge from rehabilitation., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)

Background: Femoral neck fractures (FNFs) in elderly patients are associated with major morbidity and mortality. The influence of postoperative discharge location on recovery and outcomes after arthroplasty for hip fractures is not well understood., Methods: A multisite retrospective cohort from 9 academic centers identified patients who had FNF treated with hemiarthroplasty or total hip arthroplasty between 2010 and 2019. Patients who had diagnoses of dementia, stroke, age > 80 years, or high energy fracture were excluded. Discharge location was identified, including home-based health services (HHS), inpatient rehabilitation (IPR), or a skilled nursing facility (SNF). Rates of reoperation, periprosthetic joint infection (PJI), and mortality were compared between cohorts. Multivariate logistic regressions were performed, adjusting for age, American Society of Anesthesiologists (ASA) score, body mass index, sex, and tobacco use. Statistical significance was defined as P < .05., Results: A total of 672 patients (315 HHS, 144 IPR, and 213 SNF) were included in this study. The average follow-up was 30 months. The SNF cohort was significantly older (P < .0001) with higher ASA scores (P < .0001) than the HHS cohort. In a logistic regression model adjusting for age, ASA score, and body mass index, the SNF cohort had higher mortality rates than the HHS cohort (P = .0296) and were more likely to have PJI within 90 days (odds ratio = 4.55, 95% confidence interval = 1.40, 4.74) and within 1 year (odds ratio = 3.08, 95% confidence interval = 1.08, 8.78). Time to PJI was significantly shorter in the SNF cohort (SNF 38 versus HHS 231 days, P = .0155). No differences were seen in dislocation or reoperation rates between the SNF and HHS cohorts. No differences were seen in complication rates between the IPR and HHS cohorts., Conclusions: Discharge to a SNF after arthroplasty for FNF is associated with increased mortality and higher rates of PJI. Hip fracture care pathways that uniformly discharge patients to SNFs may need to be re-evaluated, and surgeons should consider discharge to home with HHS when possible., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Objective: To review evidence on post-acute care (PAC) use and disparities related to race and ethnicity and rurality in the United States over the past 2 decades among individuals who underwent major joint replacement (MJR)., Design: Systematic review., Setting and Participants: We included studies that examined US PAC trends and racial and ethnic and/or urban vs rural differences among individuals who are aged ≥18 years with hospitalization after MJR., Methods: We searched large academic databases (PubMed, CINAHL, Embase, Web of Science, and Scopus) for peer-reviewed, English language articles from January 1, 2000, and January 26, 2022., Results: Seventeen studies were reviewed. Studies (n = 16) consistently demonstrated that discharges post-MJR to skilled nursing facilities (SNFs) or nursing homes (NHs) decreased over time, whereas evidence on discharges to inpatient rehab facilities (IRFs), home health care (HHC), and home without HHC services were mixed. Most studies (n = 12) found that racial and ethnic minority individuals, especially Black individuals, were more frequently discharged to PAC institutions than white individuals. Demographic factors (ie, age, sex, comorbidities) and marital status were not only independently associated with discharges to institutional PAC, but also among racial and ethnic minority individuals. Only one study found urban-rural differences in PAC use, indicating that urban-dwelling individuals were more often discharged to both SNF/NH and HHC than their rural counterparts., Conclusions and Implications: Despite declines in institutional PAC use post-MJR over time, racial and minority individuals continue to experience higher rates of institutional PAC discharges compared with white individuals. To address these disparities, policymakers should consider measures that target multimorbidity and the lack of social and structural support among socially vulnerable individuals. Policymakers should also consider initiatives that address the economic and structural barriers experienced in rural areas by expanding access to telehealth and through improved care coordination., Competing Interests: Disclosures The authors declare no conflicts of interest., (Copyright © 2024 Post-Acute and Long-Term Care Medical Association. Published by Elsevier Inc. All rights reserved.)

Introduction: General surgery procedures place stress on geriatric patients, and postdischarge care options should be evaluated. We compared the association of discharge to a skilled nursing facility (SNF) versus home on patient readmission., Methods: We retrospectively reviewed the Nationwide Readmission Database (2016-2019) and included patients ≥65 y who underwent a general surgery procedure between January and September. Our primary outcome was 30-d readmissions. Our secondary outcome was predictors of readmission after discharge to an SNF. We performed a 1:1 propensity-matched analysis adjusting for patient demographics and hospital course to compare patients discharged to an SNF with patients discharged home. We performed a sensitivity analysis on patients undergoing emergency procedures and a stepwise regression to identify predictors of readmission., Results: Among 140,056 included patients, 33,916 (24.2%) were discharged to an SNF. In the matched population of 19,763 pairs, 30-d readmission was higher in patients discharged to an SNF. The most common diagnosis at readmission was sepsis, and a greater proportion of patients discharged to an SNF were readmitted for sepsis. In the sensitivity analysis, emergency surgery patients discharged to an SNF had higher 30-d readmission. Higher illness severity during the index admission and living in a small or fringe county of a large metropolitan area were among the predictors of readmission in patients discharged to an SNF, while high household income was protective., Conclusions: Discharge to an SNF compared to patients discharged home was associated with a higher readmission. Future studies need to identify the patient and facility factors responsible for this disparity., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Importance: Reduced institutional postacute care has been associated with savings in alternative payment models. However, organizations may avoid voluntary participation if participation could threaten their own revenues., Objective: To characterize the association between hospital-skilled nursing facility (SNF) integration and participation in Medicare's Bundled Payments for Care Improvement Advanced (BPCI-A) program., Design, Setting, and Participants: This is a cross-sectional analysis of hospital participation in BPCI-A beginning with its launch in 2018. Each SNF-integrated hospital was matched with 2 nonintegrated hospitals for each of 4 episode-specific analyses. Fifteen hospital-level variables were used for matching: beds, case mix index, days, area SNF beds, metropolitan location, ownership, region, system membership, and teaching status. Hospitals were also matched on episode-specific volume, target price, and the interaction of target price and case mix. Episode-specific logistic models were estimated regressing hospital participation on integration and the previously listed variables. The marginal effect of integration on participation was then calculated. Analysis took place from August 2022 to May 2024., Exposure: Hospital-SNF integration, as defined by common ownership and referral patterns and identified using cost reports, Medicare claims, and Provider Enrollment, Chain, and Ownership System records. Additional sources included records of target prices and participation, the Area Health Resources File, and the Compendium of US Health Systems., Main Outcomes and Measures: Participation in BPCI-A., Results: In total, 1524 hospitals met criteria for inclusion in the hip and femur (HFP) analysis, 1825 were included in the major joint replacement of the lower extremity (MJRLE) analysis, 2018 were included in the sepsis analysis, and 1564, were included in the stroke-specific analysis. Across episodes, 191 HFP-eligible hospitals (12.5% of HFP-eligible hospitals), 302 MJRLE-eligible hospitals (16.5%), 327 sepsis-eligible hospitals (16.2%), and 185 sepsis-eligible hospitals (11.8%) were SNF integrated. In total, 79 hospitals (5.2%) participated in the HFP episode, 128 (7.0%) participated in the MJRLE episode, 204 (10.1%) participated in the sepsis episode, and 141 (9.0%) participated in the stroke episode. Integration was associated with a 4.7-percentage point decrease (95% CI, 2.4 to 6.9 percentage points) in participation in the MJRLE episode. There was no association between integration and participation for HFP (0.5-percentage point increase in participation moving from nonintegrated to integrated; 95% CI, -2.9 to 3.8 percentage points), sepsis (1.0-percentage point increase; 95% CI, -2.2 to 4.2 percentage points), and stroke (0.3-percentage point decrease; 95% CI, -3.1 to 3.8 percentage points)., Conclusions and Relevance: In this cross-sectional study, there was an uneven association between hospital-SNF integration and participation in Medicare's BPCI-A program. Other factors may be more consistent determinants of selection into voluntary payment reform.

Background: Nearly 2.9 million older Americans with lower incomes live in subsidized housing. While regional and single-site studies show that this group has higher rates of healthcare utilization compared to older adults in the general community, little is known about healthcare utilization nationally nor associated risk factors., Methods: We conducted a retrospective cohort study of Medicare beneficiaries aged ≥65 enrolled in the National Health and Aging Trends Study in 2011, linked to Medicare claims data, including individuals living in subsidized housing and the general community. Participants were followed annually through 2020. Outcomes were hospitalization, short-term skilled nursing facility (SNF) utilization, long-term care utilization, and death. Fine-Gray competing risks regression analysis was used to assess the association of subsidized housing residence with hospitalization and nursing facility utilization, and Cox proportional hazards regression analysis was used to assess the association with death., Results: Among 6294 participants (3600 women, 2694 men; mean age, 75.5 years [SD, 7.0]), 295 lived in subsidized housing at baseline and 5999 in the general community. Compared to older adults in the general community, those in subsidized housing had a higher adjusted subdistribution hazard ratio [sHR] of hospitalization (sHR 1.21; 95% CI, 1.03-1.43), short-term SNF utilization (sHR 1.49; 95% CI, 1.15-1.92), and long-term care utilization (sHR 2.72; 95% CI, 1.67-4.43), but similar hazard of death (HR, 0.86; 95% CI, 0.69-1.08). Individuals with functional impairment had a higher adjusted subdistribution hazard of hospitalization and short-term SNF utilization and individuals with dementia and functional impairment had a higher hazard of long-term care utilization., Conclusions: Older adults living in subsidized housing have higher hazards of hospitalization and nursing facility utilization compared to those in the general community. Housing-based interventions to optimize aging in place and mitigate risk of nursing facility utilization should consider risk factors including functional impairment and dementia., (© 2024 The Author(s). Journal of the American Geriatrics Society published by Wiley Periodicals LLC on behalf of The American Geriatrics Society. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.)

Background: For persons with diabetes, incidence of dementia has been associated with increased hospitalization; however, little is known about healthcare use preceding and following incident dementia. We describe healthcare utilization in the 3 years pre- and post-incident dementia among older adults with diabetes., Methods: We used the National Health and Aging Trends Study (NHATS) linked to Medicare fee-for-service claims from 2011 to 2018. We included community-dwelling adults ≥65 years who had diabetes without dementia. We matched older adults with dementia (identified with validated NHATS algorithm) at the year of incident dementia to controls using coarsened exact matching. We examined annual outpatient visits, emergency department (ED) visits, hospitalization, and post-acute skilled nursing facility (SNF) use 3 years preceding and 3 years following dementia onset., Results: We included 195 older adults with diabetes with incident dementia and 1107 controls. Groups had a similar age (81.6 vs 81.7 years) and were 56.4% female. Persons with dementia were more likely to be of minority racial and ethnic groups (26.7% vs 21.3% Black, non-Hispanic, 15.3% vs 6.7% other race or Hispanic). We observed a larger decrease in outpatient visits among persons with dementia, primarily due to decreasing specialty visits (mean outpatient visits: 3 years pre-dementia/matching 6.8 (SD 2.6) dementia vs 6.4 (SD 2.6) controls, p < 0.01 to 3 years post-dementia/matching 4.6 (SD 2.3) dementia vs 5.5 (SD 2.7) controls, p < 0.01). Hospitalization, ED visits, and post-acute SNF use were higher for persons with dementia and rose in both groups (e.g., ED visits 3 years pre-dementia/matching 3.9 (SD 5.4) dementia vs 2.2 (SD 4.8) controls, p < 0.001; 3 years post-dementia/matching 4.5 (SD 4.7) dementia vs 3.5 (SD 6.1) controls, p = 0.04)., Conclusions: Older adults with diabetes with incident dementia have higher rates of acute and post-acute care use, but decreasing outpatient use over time, primarily due to a decrease in specialty visits., (© 2024 The American Geriatrics Society.)

General Purpose: To provide information on the association between risk factors and the development of new or worsened stage 2 to 4 pressure injuries (PIs) in patients in long-term care hospitals (LTCHs), inpatient rehabilitation facilities (IRFs), and skilled nursing facilities (SNFs)., Target Audience: This continuing education activity is intended for physicians, physician assistants, nurse practitioners, and nurses with an interest in skin and wound care., Learning Objectives/outcomes: After participating in this educational activity, the participant will:1. Compare the unadjusted PI incidence in SNF, IRF, and LTCH populations.2. Explain the extent to which the clinical risk factors of functional limitation (bed mobility), bowel incontinence, diabetes/peripheral vascular disease/peripheral arterial disease, and low body mass index are associated with new or worsened stage 2 to 4 PIs across the SNF, IRF, and LTCH populations.3. Compare the incidence of new or worsened stage 2 to 4 PI development in SNF, IRF, and LTCH populations associated with high body mass index, urinary incontinence, dual urinary and bowel incontinence, and advanced age., (Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.)

Background: Differences in the post-acute care (PAC) destinations among racial, ethnic, and socioeconomic groups have been documented before the COVID-19 pandemic. Yet, the pandemic's impact on these differences remains unknown. We examined the impact of the COVID-19 pandemic on PAC destinations and its variation by individual race, ethnicity, and socioeconomic status among community-dwelling older adults with Alzheimer's disease and related dementia (ADRD)., Methods: We linked 2019-2021 national data (Medicare claims, Minimum Data Set, Master Beneficiary Summary File) and several publicly available datasets, including Provider of Services File, Area Deprivation Index, Area Health Resource File, and COVID-19 infection data. PAC discharge destinations included skilled nursing facilities (SNFs), home health agencies (HHA), and homes without services. Key variables of interest included individual race, ethnicity, and Medicare-Medicaid dual status. The analytic cohort included 830,656 community-dwelling Medicare fee-for-service beneficiaries with ADRD who were hospitalized between 2019 and 2021. Regression models with hospital random effects and state-fixed effects were estimated, stratified by the time periods, and adjusted for the individual, hospital, and county-level covariates., Results: SNF discharges decreased while home and HHA discharges increased during the pandemic. The trend was more prominent among racial and ethnic minoritized groups and even more so among dual-eligible beneficiaries. For instance, the reduction in the probabilities of SNF admissions between the pre-pandemic period and the 2nd year of COVID was 4.6 (White non-duals), 18.5 (White duals), 8.7 (Black non-duals), and 20.1 (Black duals) percentage-point, respectively. We also found that non-duals were more likely to replace SNF with HHA services, while duals were more likely to be discharged home without HHA., Conclusions: The COVID-19 pandemic significantly impacted PAC destinations for individuals with ADRD, especially among socioeconomically disadvantaged and racial and ethnic minoritized populations. Future research is needed to understand if and how these transitions may have affected health outcomes., (© 2024 The American Geriatrics Society.)

This study aimed to improve the predictive accuracy of the Braden assessment for pressure injury risk in skilled nursing facilities (SNFs) by incorporating real-world data and training a survival model. A comprehensive analysis of 126 384 SNF stays and 62 253 in-house pressure injuries was conducted using a large calibrated wound database. This study employed a time-varying Cox Proportional Hazards model, focusing on variations in Braden scores, demographic data and the history of pressure injuries. Feature selection was executed through a forward-backward process to identify significant predictive factors. The study found that sensory and moisture Braden subscores were minimally contributive and were consequently discarded. The most significant predictors of increased pressure injury risk were identified as a recent (within 21 days) decrease in Braden score, low subscores in nutrition, friction and activity, and a history of pressure injuries. The model demonstrated a 10.4% increase in predictive accuracy compared with traditional Braden scores, indicating a significant improvement. The study suggests that disaggregating Braden scores and incorporating detailed wound histories and demographic data can substantially enhance the accuracy of pressure injury risk assessments in SNFs. This approach aligns with the evolving trend towards more personalized and detailed patient care. These findings propose a new direction in pressure injury risk assessment, potentially leading to more effective and individualized care strategies in SNFs. The study highlights the value of large-scale data in wound care, suggesting its potential to enhance quantitative approaches for pressure injury risk assessment and supporting more accurate, data-driven clinical decision-making., (© 2024 The Author(s). International Wound Journal published by Medicalhelplines.com Inc and John Wiley & Sons Ltd.)

Importance: During the COVID-19 pandemic, stabilized COVID-19-positive patients were discharged to skilled nursing facilities (SNFs) to alleviate hospital crowding. These discharges generated controversy due to fears of seeding outbreaks, but there is little empirical evidence to inform policy., Objective: To assess the association between the admission to SNFs of COVID-19-positive patients and subsequent COVID-19 cases and death rates among residents., Design, Setting, and Participants: This cohort study analyzed survey data from the National Healthcare Safety Network of the Centers for Disease Control and Prevention. The cohort included SNFs in the US from June 2020 to March 2021. Exposed facilities (ie, with initial admission of COVID-19-positive patients) were matched to control facilities (ie, without initial admission of COVID-19-positive patients) in the same county and with similar preadmission case counts. Data were analyzed from June 2023 to February 2024., Exposure: The week of the first observable admission of COVID-19-positive patients (defined as those previously diagnosed with COVID-19 and continued to require transmission-based precautions) during the study period., Main Outcomes and Measures: Weekly counts of new cases of COVID-19, COVID-19-related deaths, and all-cause deaths per 100 residents in the week prior to the initial admission. A stacked difference-in-differences approach was used to compare outcomes for 10 weeks before and 15 weeks after the first admission. Additional analyses examined whether outcomes differed in facilities with staff or personal protective equipment (PPE) shortages., Results: A matched group of 264 exposed facilities and 518 control facilities was identified. Over the 15-week follow-up period, exposed SNFs had a cumulative increase of 6.94 (95% CI, 2.91-10.98) additional COVID-19 cases per 100 residents compared with control SNFs, a 31.3% increase compared with the sample mean (SD) of 22.2 (26.4). Exposed facilities experienced 2.31 (95% CI, 1.39-3.24) additional cumulative COVID-19-related deaths per 100 residents compared with control facilities, representing a 72.4% increase compared with the sample mean (SD) of 3.19 (5.5). Exposed facilities experiencing potential staff shortage and PPE shortage had larger increases in COVID-19 cases per 100 residents (additional 10.97 [95% CI, 2.76-19.19] cases and additional 14.81 [95% CI, 2.38-27.25] cases, respectively) compared with those without such shortages., Conclusion: This cohort study suggests that admission of COVID-19-positive patients into SNFs early in the pandemic was associated with preventable COVID-19 cases and mortality among residents, particularly in facilities with potential staff and PPE shortages. The findings speak to the importance of equipping SNFs to adhere to infection-control best practices as they continue to face COVID-19 strains and other respiratory diseases.

Background: The postoperative period and subsequent discharge planning are critical in our continued efforts to decrease the risk of complications after THA. Patients discharged to skilled nursing facilities (SNFs) have consistently exhibited higher readmission rates compared with those discharged to home healthcare. This elevated risk has been attributed to several factors but whether readmission is associated with patient functional status is not known., Questions/purposes: After controlling for relevant confounding variables (functional status, age, gender, caregiver support available at home, diagnosis [osteoarthritis (OA) versus non-OA], Charlson comorbidity index [CCI], the Area Deprivation Index [ADI], and insurance), are the odds of 30- and 90-day hospital readmission greater among patients initially discharged to SNFs than among those treated with home healthcare after THA?, Methods: This was a retrospective, comparative study of patients undergoing THA at any of 11 hospitals in a single, large, academic healthcare system between 2017 and 2022 who were discharged to an SNF or home healthcare. During this period, 13,262 patients were included. Patients discharged to SNFs were older (73 ± 11 years versus 65 ± 11 years; p < 0.001), less independent at hospital discharge (6-click score: 16 ± 3.2 versus 22 ± 2.3; p < 0.001), more were women (71% [1279 of 1796] versus 56% [6447 of 11,466]; p < 0.001), insured by Medicare (83% [1497 of 1796] versus 52% [5974 of 11,466]; p < 0.001), living in areas with greater deprivation (30% [533 of 1796] versus 19% [2229 of 11,466]; p < 0.001), and had less assistance available from at-home caregivers (29% [527 of 1796] versus 57% [6484 of 11,466]; p < 0.001). The primary outcomes assessed in this study were 30- and 90-day hospital readmissions. Although the system automatically flags readmissions occurring within 90 days at the various facilities in the overall healthcare system, readmissions occurring outside the system would not be captured. Therefore, we were not able to account for potential differential rates of readmission to external healthcare systems between the groups. However, given the large size and broad geographic coverage of the healthcare system analyzed, we expect the readmissions data captured to be representative of the study population. The focus on a single healthcare system also ensures consistency in readmission identification and reporting across subjects. We evaluated the association between discharge disposition (home healthcare versus SNF) and readmission. Covariates evaluated included age, gender, primary payer, primary diagnosis, CCI, ADI, the availability of at-home caregivers for the patient, and the Activity Measure for Post-Acute Care (AM-PAC) 6-clicks basic mobility score in the hospital. The adjusted relative risk (ARR) of readmission within 30 and 90 days of discharge to SNF (versus home healthcare) was estimated using modified Poisson regression models., Results: After adjusting for the 6-clicks mobility score, age, gender, ADI, OA versus non-OA, living environment, CCI, and insurance, patients discharged to an SNF were more likely to be readmitted within 30 and 90 days compared with home healthcare after THA (ARR 1.46 [95% CI 1.01 to 2.13]; p= 0.046 and ARR 1.57 [95% CI 1.23 to 2.01]; p < 0.001, respectively)., Conclusion: Patients discharged to SNFs after THA had a slightly higher likelihood of hospital readmission within 30 and 90 days compared with those discharged with home healthcare. This difference persisted even after adjusting for relevant factors like functional status, home support, and social determinants of health. These results indicate that for suitable patients, direct home discharge may be a safer and more cost-effective option than SNFs. Clinicians should carefully consider these risks and benefits when making postoperative discharge plans. Policymakers could consider incentives and reforms to improve care transitions and coordination across settings. Further research using robust methods is needed to clarify the reasons for higher SNF readmission rates. Detailed analysis of patient complexity, care processes, and causes of readmission in SNFs versus home health could identify areas for quality improvement. Prospective cohorts or randomized trials would allow stronger conclusions about cause-and-effect. Importantly, no patients should be unfairly "cherry-picked" or "lemon-dropped" based only on readmission risk scores. With proper support and care coordination, even complex patients can have good outcomes. The goal should be providing excellent rehabilitation for all, while continuously improving quality, safety, and value across settings., Level of Evidence: Level III, therapeutic study., Competing Interests: All ICMJE Conflict of Interest Forms for authors and Clinical Orthopaedics and Related Research ® editors and board members are on file with the publication and can be viewed on request., (Copyright © 2024 by the Association of Bone and Joint Surgeons.)

Background: Emerging evidence suggests that there is an increase in healthcare utilization (HCU) in patients due to Coronavirus Disease 2019 (COVID-19). We investigated the change in HCU pre and post hospitalization among patients discharged home from COVID-19 hospitalization for up to 9 months of follow up., Study Design and Methods: This retrospective study from a United States cohort used Optum® de-identified Clinformatics Data Mart; it included adults discharged home post hospitalization with primary diagnosis of COVID-19 between April 2020 and March 2021. We evaluated HCU of patients 9 months pre and post -discharge from index hospitalization. We defined HCU as emergency department (ED), inpatient, outpatient (office), rehabilitation/skilled nursing facility (SNF), telemedicine visits, and length of stay, expressed as number of visits per 10,000 person-days., Results: We identified 63,161 patients discharged home after COVID-19 hospitalization. The cohort of patients was mostly white (58.8%) and women (53.7%), with mean age 72.4 (SD± 12) years. These patients were significantly more likely to have increased HCU in the 9 months post hospitalization compared to the 9 months prior. Patients had a 47%, 67%, 65%, and 51% increased risk of ED (rate ratio 1.47; 95% CI 1.45-1.49; p < .0001), rehabilitation (rate ratio 1.67; 95% CI 1.61-1.73; p < .0001), office (rate ratio1.65; 95% CI 1.64-1.65; p < .0001), and telemedicine visits (rate ratio 1.5; 95% CI 1.48-1.54; p < .0001), respectively. We also found significantly different rates of HCU for women compared to men (women have higher risk of ED, rehabilitation, and telemedicine visits but a lower risk of inpatient visits, length of stay, and office visits than men) and for patients who received care in the intensive care unit (ICU) vs those who did not (ICU patients had increased risk of ED, inpatient, office, and telemedicine visits and longer length of stay but a lower risk of rehabilitation visits). Outpatient (office) visits were the highest healthcare service utilized post discharge (64.5% increase). Finally, the risk of having an outpatient visit to any of the specialties studied significantly increased post discharge. Interestingly, the risk of requiring a visit to pulmonary medicine was the highest amongst the specialties studied (rate ratio 3.35, 95% CI 3.26-3.45, p < .0001)., Conclusion: HCU was higher after index hospitalization compared to 9 months prior among patients discharged home post-COVID-19 hospitalization. The increases in HCU may be driven by those patients who received care in the ICU., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Zaidan et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Objectives: To assess whether hospitals participating in Medicare's Bundled Payments for Care Improvement (BPCI) program for joint replacement changed their referral patterns to favor higher-quality skilled nursing facilities (SNFs)., Study Design: Retrospective observational study using 2009-2015 inpatient and outpatient claims from a 20% sample of Medicare beneficiaries undergoing joint replacement in US hospitals (N = 146,074) linked with data from Medicare's BPCI program and Nursing Home Compare., Methods: We ran fixed effect regression models regressing BPCI participation on hospital-SNF referral patterns (number of SNF discharges, number of SNF partners, and SNF referral concentration) and SNF quality (facility inspection survey rating, patient outcome rating, staffing rating, and registered nurse staffing rating)., Results: We found that BPCI participation was associated with a decrease in the number of SNF referrals and no significant change in the number of SNF partners or concentration of SNF partners. BPCI participation was associated with discharge to SNFs with a higher patient outcome rating by 0.04 stars (95% CI, 0.04-0.26). BPCI participation was not associated with improvements in discharge to SNFs with a higher facility survey rating (95% CI, -0.03 to 0.11), staffing rating (95% CI, -0.07 to 0.04), or registered nurse staffing rating (95% CI, -0.09 to 0.02)., Conclusions: BPCI participation was associated with lower volume of SNF referrals and small increases in the quality of SNFs to which patients were discharged, without narrowing hospital-SNF referral networks.

Objective: To examine the relationship between growth in Medicare Advantage (MA) enrollment and changes in finances at skilled nursing facilities (SNFs)., Data Sources: Medicare SNF cost reports, LTCFocus.org data, and county MA penetration rates., Study Design: We used ordinary least squares regression with SNF and year fixed effects. Our primary outcomes were SNF revenues, expenses, profits, and occupancy. Our primary independent variable was the yearly county Medicare Advantage penetration., Data Collection/extraction: We linked facility-year data from 2012 to 2019 obtained from cost reports and LTCFocus.org to county-year MA penetration., Principal Findings: A 10 percentage point increase in county MA enrollment was associated with a $213,883.89 (95% Confidence Interval [CI]: -296,869.08, -130,898.71) decrease in revenue, a $132,456.19 (95% CI: -203,852.28, -61,060.10) decrease in expenses, and a 0.59 percentage point (95% CI: -0.97, -0.21) decrease in profit margin. A 10 percentage point increase in county MA enrollment was associated with a decline (-318.93; 95% CI: -468.84, -169.02) in the number of resident-days (a measure of occupancy) as well as a decline in the revenue per resident day ($4.50; 95% CI: -6.81, -2.20), potentially because of lower prices in MA. There was also a decline in expenses per patient day (-2.35; 95% CI: -4.76, 0.05), though this was only statistically significant at the 10% level. While increased MA enrollment was associated with a substantial decline in the number of Medicare resident days (487.53; 95% CI: -588.70, -386.37), this was partially offset by an increase in other payer (e.g., private pay) resident days (285.91; 95% CI: 128.18, 443.63). Increased MA enrollment was not associated with changes in the number of Medicaid resident days or a decrease in staffing per resident day., Conclusion: SNFs in counties with more MA growth had substantially greater relative declines in revenue, expenses, and profit margins. The continued growth of MA may result in significant changes in the SNF industry., (© 2024 Health Research and Educational Trust.)

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., (© 2024 John Wiley & Sons Ltd.)

Discharge from hospitals to postacute care settings is a vulnerable time for many older adults, when they may be at increased risk for errors occurring in their care. We developed the Extension for Community Healthcare Outcomes-Care Transitions (ECHO-CT) programme in an effort to mitigate these risks through a mulitdisciplinary, educational, case-based teleconference between hospital and skilled nursing facility providers. The programme was implemented in both academic and community hospitals. Through weekly sessions, patients discharged from the hospital were discussed, clinical concerns addressed, errors in care identified and plans were made for remediation. A total of 1432 discussions occurred for 1326 patients. The aim of this study was to identify errors occurring in the postdischarge period and factors that predict an increased risk of experiencing an error. In 435 discussions, an issue was identified that required further discussion (known as a transition of care event), and the majority of these were related to medications. In 14.7% of all discussions, a medical error, defined as 'any preventable event that may cause or lead to inappropriate medical care or patient harm', was identified. We found that errors were more likely to occur for patients discharged from surgical services or the emergency department (as compared with medical services) and were less likely to occur for patients who were discharged in the morning. This study shows that a number of errors may be detected in the postdischarge period, and the ECHO-CT programme provides a mechanism for identifying and mitigating these events. Furthermore, it suggests that discharging service and time of day may be associated with risk of error in the discharge period, thereby suggesting potential areas of focus for future interventions., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

This study examines caregiver networks, including size, composition, and stability, and their associations with the likelihood of hospitalization and skilled-nursing facility (SNF) admissions. Data from the National Health and Aging Trends Study linked to Center for Medicare and Medicaid Services data were analyzed for 3855 older adults across five survey waves. Generalized estimating equation models assessed the associations. The findings indicate each additional paid caregiver was associated with higher adjusted risk ratios (aRR) for hospitalization (aRR = 1.24, 95% CI 1.10-1.41) and SNF admission (aRR = 1.28, 95% CI 1.06-1.54) among care recipients, a pattern that is also observed with the addition of unpaid caregivers (hospitalization: aRR = 1.13, 95% CI 1.06-1.20; SNF: aRR = 1.12, 95% CI 1.02-1.23). These results suggest that policies and approaches to enhance the quality and coordination of caregivers may be warranted to support improved outcomes for care recipients., Competing Interests: Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Objective: To assess differences in longitudinal profiles for 30-day risk-adjusted readmission rates in skilled nursing facilities (SNFs) associated with Penn Medicine's Lancaster General Hospital (LGH) that implemented an interventional analytics (IA) platform vs other LGH facilities lacking IA vs other SNFs in Pennsylvania vs facilities in all other states., Study Design: Retrospective longitudinal analysis of CMS readmissions data from 2017 through 2022, and cross-sectional analysis using CMS quality metrics data., Methods: CMS SNF quality performance data were aggregated and compared with risk-adjusted readmissions by facility and time period. Each SNF was assigned to a cohort based on location, referral relationship with LGH, and whether it had implemented IA. Multivariable mixed effects modeling was used to compare readmissions by cohort, whereas quality measures from the fourth quarter of 2022 were compared descriptively., Results: LGH profiles differed significantly from both state and national profiles, with LGH facilities leveraging IA demonstrating an even greater divergence. In the most recent 12 months ending in the fourth quarter of 2022, LGH SNFs with IA had estimated readmission rates that were 15.24, 12.30, and 13.06 percentage points lower than the LGH SNFs without IA, Pennsylvania, and national cohorts, respectively (all pairwise P < .0001). SNFs with IA also demonstrated superior CMS claims-based quality metric outcomes for the 12 months ending in the fourth quarter of 2022., Conclusions: SNFs implementing the studied IA platform demonstrated statistically and clinically significant superior risk-adjusted readmission rate profiles compared with peers nationally, statewide, and within the same SNF referral network (P < .0001). A more detailed study on the use of IA in this setting is warranted.

Background: Prior single-hospital studies have documented barriers to acceptance that hospitalized patients with opioid use disorder (OUD) face when referred to skilled nursing facilities (SNFs)., Objective: To examine the impact of OUD on the number of SNF referrals and the proportion of referrals accepted., Design, Settings, and Participants: A retrospective cohort study of hospitalizations with SNF referrals in 2019 at two academic hospitals in Baltimore, MD., Exposure: OUD status was determined by receipt of medications for OUD during admission, upon discharge, or the presence of a diagnosis code for OUD., Key Results: The cohort included 6043 hospitalizations (5440 hospitalizations of patients without OUD and 603 hospitalizations of patients with OUD). Hospitalizations of patients with OUD had more SNF referrals sent (8.9 vs. 5.6, p < .001), had a lower proportion of SNF referrals accepted (31.3% vs. 46.9%, p < .001), and were less likely to be discharged to an SNF (65.6% vs. 70.3%, p = .003). The effect of OUD status on the number of SNF referrals and the proportion of referrals accepted remained significant in multivariable analyses. Our subanalysis showed that reduced acceptances were driven by the hospitalizations of patients discharged without medications for OUD and those receiving methadone. Hospitalizations of patients discharged on buprenorphine were accepted at the same rates as hospitalizations of patients without OUD., Conclusions: This multicenter retrospective cohort study found that hospitalizations of patients with OUD had more SNF referrals sent and fewer referrals accepted. Further work is needed to address the limited discharge options for patients with OUD., (© 2024 Society of Hospital Medicine.)

Along with the trend of a steady utilization decline in the U.S. nursing home beds, post-acute care (PAC) utilization at the skilled nursing facilities has declined. This study was a cross-sectional, retrospective review of hospital discharge-based claim data. We evaluate the factors associated with utilizing post-acute care at rehabilitation facilities among those with extremity fractures in the state of Nevada. All Nevada hospital discharges of aged ≥65 years with extremity fractures between 2018 and 2021 were divided to post-acute care locations by (1) rehabilitation facilities (skilled nursing facility and inpatient rehabilitation facility) and (2) homes (with and without services). PAC utilization at facilities declined from 55.1% in 2018 to 49.7% in 2021 ( P  < .001). In response, PAC utilization at homes continuously upwards, particularly, homes with services from 18.8% in 2018 to 24.5% in 2021 ( P  < .001). Older age, female, lower extremity fractures, comorbidities, and Medicare beneficiaries were associated with higher probabilities of utilizing post-acute rehabilitation facilities. Racial minorities, COVID-19 pandemic, upper extremities, Medicaid beneficiaries, rural hospitals, and prolonged hospital length of stay were associated with lower probabilities of PAC utilization at facilities. Caregiver burdens and workforce training is urgently warranted to respond to this utilization shift. Effective geriatrics workforce training might advance care efficiency of older adults with extremity fractures and guide to the insights of establishing the age-friendly state of Nevada in response to this utilization shift trends., Competing Interests: Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

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., (©Jun Wang, Hongmei Chen, Houwei Wang, Weichu Liu, Daomei Peng, Qinghua Zhao, Mingzhao Xiao. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 06.04.2023.)

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., (Copyright © 2023 Massachusetts Medical Society.)

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.

Preventing acute care transfers from skilled nursing facilities (SNFs) is a challenge secondary to residents' associated debilitated status and comorbidities. Acute care transfers often result in serious complications and unnecessary health care expenditure. Literature implies that approximately two thirds of these acute care transfers could be prevented using proactive interventions. The purpose of the current study was to identify the predictors of acute care transfers for SNF residents in developing relevant prevention strategies. A retrospective chart review using multivariate logistic regression analysis showed increased odds of SNF hospitalization was significantly associated with impaired cognition, chronic obstructive pulmonary disease, and chronic kidney disease, whereas decreased odds of hospitalization was identified among non-Hispanic White residents. Study recommendations include prompt assessment of comorbid symptomatology among SNF residents for the timely management and prevention of unnecessary acute care transfers. [ Research in Gerontological Nursing, 15 (4), 172-178.].

Background: Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) spreads rapidly amongst residents of skilled nursing facilities (SNFs). The rapid transmission dynamics and high morbidity and mortality that occur in SNFs emphasize the need for early detection of cases. We hypothesized that residents of SNFs infected with SARS-CoV-2 would demonstrate an acute change in either temperature or oxygen saturation (SpO 2 ) prior to symptom onset. The Minnesota Department of Health (MDH) conducted a retrospective analysis of both temperature and SpO 2 at two separate SNFs to assess the utility of these quantitative markers to identify SARS-CoV-2 infection prior to the development of symptoms., Methods: A retrospective analysis was conducted of 165 individuals positive for SARS-CoV-2 who were residents of SNFs that experienced coronavirus disease 2019 (COVID-19) outbreaks during April-June 2020 in a metropolitan area of Minnesota. Age, sex, symptomology, temperature and SpO 2 values, date of symptom onset, and date of positive SARS-CoV-2 test were analyzed. Temperature and SpO 2 values for the period 14 days before and after the date of initial positive test were included. Descriptive analyses evaluated changes in temperature and SpO 2 , defined as either exceeding a set threshold or demonstrating an acute change between consecutive measurements., Results: Two (1%) residents had a temperature value ≥100°F, and 30 (18%) had at least one value ≥99°F within 14 days before symptom development. One hundred and sixteen residents (70%) had at least one SpO 2 value ≤94%, while 131 (80%) had an acute decrease in SpO 2 of ≥3% between consecutive values in the 14 days prior to symptom onset., Conclusions: Our results suggest that acute change in SpO 2 might be useful in the identification of SARS-CoV-2 infection prior to the development of symptoms among residents living in SNFs. Facilities may consider adding SpO 2 to daily temperature and symptom screening checklists to improve early detection of residents of SNFs infected with SARS-CoV-2., (© 2021 The American Geriatrics Society.)

Background: Pneumonia and sepsis are among the most common causes of hospitalization in the United States and often result in discharges to a skilled nursing facility (SNF) for rehabilitation. We described the timing and most common causes of 30-day unplanned hospital readmission following an index hospitalization for pneumonia or sepsis., Methods and Findings: This national retrospective cohort study included adults ≥65 years who were hospitalized for pneumonia or sepsis and were discharged to a SNF between July 1, 2012 and July 4, 2015. We quantified the ten most common 30-day unplanned readmission diagnoses and estimated the daily risk of first unplanned rehospitalization for four causes of readmission (circulatory, infectious, respiratory, and genitourinary). The index hospitalization was pneumonia for 92,153 SNF stays and sepsis for 452,254 SNF stays. Of these SNF stays, 20.9% and 25.9%, respectively, resulted in a 30-day unplanned readmission. Overall, septicemia was the single most common readmission diagnosis for residents with an index hospitalization for pneumonia (16.7% of 30-day readmissions) and sepsis (22.4% of 30-day readmissions). The mean time to unplanned readmission was approximately 14 days overall. Respiratory causes displayed the highest daily risk of rehospitalization following index hospitalizations for pneumonia, while circulatory and infectious causes had the highest daily risk of rehospitalization following index hospitalizations for sepsis. The day of highest risk for readmission occurred within two weeks of the index hospitalization discharge, but the readmission risk persisted across the 30-day follow-up., Conclusion: Among older adults discharged to SNFs following a hospitalization for pneumonia or sepsis, hospital readmissions for infectious, circulatory, respiratory, and genitourinary causes occurred frequently throughout the 30-day post-discharge period. Our data suggests further study is needed, perhaps on the value of closer monitoring in SNFs post-hospital discharge and improved communication between hospitals and SNFs, to reduce the risk of potentially preventable hospital readmissions., Competing Interests: I have read the journal’s policy and the authors of this manuscript have the following competing interests: R.V.A. and A.C. are employed by Sanofi Pasteur and may hold shares and/or stock options in the company. This does not alter our adherence to PLOS ONE policies on sharing data and materials.

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., Competing Interests: The authors declare no conflict of interest., (Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.)

Background: Chronic ventilator use in Tennessee nursing homes surged following 2010 increases in respiratory care payment rates. Tennessee's Medicaid program implemented multiple policies between 2014 and 2017 to promote ventilator liberation in 11 nursing homes, including quality reporting, on-site monitoring, and pay-for-performance incentives., Methods: Using repeated cross-sectional analysis of Medicare and Medicaid nursing home claims (2011-2017), hospital discharge records (2010-2017), and nursing home quality reports (2015-2017), we examined how service use changed as Tennessee implemented policies designed to promote ventilator liberation in nursing homes. We measured the annual number of nursing home patients with ventilator-related service use; discharge destination of ventilated inpatients and percent of nursing home patients liberated from ventilators., Results: Between 2011 and 2014, the number of Medicare SNF and Medicaid nursing home patients with ventilator use increased more than sixfold. Among inpatients with prolonged mechanical ventilation, discharges to home decreased as discharges to nursing homes increased. As Tennessee implemented policy changes, ventilator-related service use moderately declined in nursing homes from a peak of 198 ventilated Medicare SNF patients in 2014 to 125 in 2017 and from 182 Medicaid patients with chronic ventilator use in 2014 to 145 patients in 2017. Nursing home weaning rates peaked at 49%-52% in 2015 and 2016, but declined to 26% by late 2017. Median number of days from admission to wean declined from 81 to 37 days., Conclusions: This value-based approach demonstrates the importance of designing payment models that target key patient outcomes like ventilator liberation., (© 2021 The American Geriatrics Society.)

Background: Given limited life expectancy of nursing home (NH) residents, harms of continuing beta-blockers (BBs) may outweigh clinical benefits. Our objective was to describe beta-blocker discontinuation for NH residents during the last year of life, and identify characteristics associated with earlier discontinuation., Methods: This was a retrospective cohort study that included all long-stay residents in fee-for-service Medicare who died in 2016 and were prescribed oral BBs 1 year before death. Beta-blocker discontinuation was defined as a gap in medication on hand for ≥45 days per Medicare Part D claims, measured from the last date drug was on hand. Comorbidities were obtained from Chronic Condition Warehouse, and other characteristics from the Minimum Data Set. Kaplan-Meier curves were used to describe time to first discontinuation. Findings were stratified by cardiac diagnoses, perceived life expectancy of <6 months, or elevated mortality index., Results: Eighty-eight thousand two hundred and eighty-four residents were prescribed ≥1 daily BB 12 months before death. Mean age was 84.1 years and 69.2% were female. Of these, 60,573 residents (68.6%) remained on a BB in the last 45 days of life, and 57,880 residents (65.6%) had ≥1 cardiac diagnosis. Only 5239 residents (5.9%) had elevated mortality index, whereas 16,798 residents (19.0%) had perceived poor prognosis. In the last year of life, there was no difference in beta-blocker discontinuation pattern between residents with and without cardiac diagnoses. Residents with perceived poor prognosis and elevated mortality index discontinued BBs earlier. For example, mean time until discontinuation among residents with poor perceived prognosis was 245 versus 279 days in residents without such prognosis (p < 0.0001)., Conclusions: BBs are commonly prescribed to NH residents in the final year of life. Overall, discontinuation occurs earlier in residents for whom clinicians perceive limited life expectancy, suggesting that improved prognostication may offer an important opportunity to reduce polypharmacy toward end of life., (© 2021 The American Geriatrics Society.)

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., Competing Interests: The authors declare no conflict of interest., (Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.)

Objective: he objective of this study was to evaluate safety, feasibility, and outcomes of 30 patients within an inpatient rehabilitation facility following hospitalization for severe Coronavirus Disease 19 (COVID-19) infection., Methods: This was an observational study of 30 patients (ages 26-80 years) within a large, metropolitan, academic hospital following hospitalization for complications from severe COVID-19. Ninety percent of the participants required critical care, and 83% required mechanical ventilation during their hospitalization. Within an inpatient rehabilitation facility and model of care, frequent, long-duration rehabilitation was provided by occupational therapists, physical therapists, and speech language pathologists., Results: The average inpatient rehabilitation facility length of stay was 11 days (ranging from 4-22 days). Patients averaged 165 min/d (ranging from 140-205 minutes) total of physical therapy, occupational therapy, and speech therapy. Twenty-eight of the 30 patients (93%) were discharged to the community. One patient required readmission from an inpatient rehabilitation facility to an acute hospital. All 30 patients improved their functional status with inpatient rehabilitation., Conclusion: In this cohort of 30 patients, inpatient rehabilitation after severe COVID-19 was safe and feasible. Patients were able to participate in frequent, long-duration rehabilitation with nearly all patients discharging to the community. Clinically, inpatient rehabilitation should be considered for patients with functional limitations following severe COVID-19. Given 90% of our cohort required critical care, future studies should investigate the efficacy and effectiveness of inpatient rehabilitation following hospitalization for critical illness. Frequent, long-duration rehabilitation shows promising potential to address functional impairments following hospitalization for severe COVID-19., Impact: Inpatient rehabilitation facilities should be considered as a discharge location for hospitalized survivors of COVID-19, especially severe COVID-19, with functional limitations precluding community discharge. Clinicians and administrators should consider inpatient rehabilitation and inpatient rehabilitation facilities to address the rehabilitation needs of COVID-19 and critical illness survivors., (© The Author(s) 2021. Published by Oxford University Press on behalf of the American Physical Therapy Association. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Hospitalized older patients with advanced cancer who were discharged to a skilled nursing facility (SNF) for rehabilitation are unlikely to receive future cancer treatment, have high 30-day readmission rates, and high mortality yet minimal hospice use. The Medicare SNF benefit was designed to be a bridge and provide short-term nursing and rehabilitation care for patients after a hospitalization. However, advanced cancer patients churn through the health system cycling between the hospital, post-acute care facilities, and home in the last months of life. This article explores the potential impact of the patient-driven payment model, a new SNF reimbursement model introduced by the Center for Medicare and Medicaid Services in 2019, on the experience of older cancer patients. Previously, SNF reimbursement was based on the hours of rehabilitative therapy provided to patients, unintentionally incentivizing SNFs to provide more therapy resulting in long lengths of stay and increased Medicare expenditure. The new patient-driven payment model bases reimbursement on patient clinical characteristics and resources utilized during their SNF stay. We discuss the impact this payment model might have on cancer patients in the SNF setting and highlight the importance of access to palliative care for this population. We discuss challenges policymakers face in creating palliative care guidelines and developing palliative care delivery models in SNFs. We highlight the policy gaps that remain in creating a system that achieves high-quality SNF care and conclude by offering suggestions that might better incorporate a patient's illness trajectory, prognosis, and goals of care., (© 2021 The American Geriatrics Society.)

Objective: To examine whether stronger referral relationships between hospitals and skilled nursing facilities (SNF) are associated with lower-risk patients being admitted to SNF., Data Sources/collection: We used MedPAR data to estimate referral relationship strength and nursing home survey data (OSCAR and CASPER) to determine the risk of patient admissions at nearly 14 000 SNFs from 2008 to 2014., Study Design: We examined the association of hospital referral concentration with the percentage of higher-risk patients admitted to non-hospital-based (freestanding) SNFs using an instrumental variables approach. We used the distance between patients and SNFs and hospitals and SNFs as the instrument., Data Collection/extraction Methods: We used previously collected MedPAR and OSCAR/CASPER survey data., Principal Findings: We find greater observed referral concentration among freestanding SNFs is associated with lower percentages of patients with pressure sores (coefficient, -2.64; 95% CI, [-2.82 to -2.46]), catheters (-0.55; [-0.74 to -0.36]), and physical restraints (-0.16; [-0.29 to -0.03]) at admission to a skilled nursing facility., Conclusions: We find evidence that freestanding SNFs with stronger hospital referral relationships may be admitting less risky patients, possibly contributing to disparities across SNFs., (© 2021 Health Research and Educational Trust.)

Background: More than 600,000 Medicare beneficiaries with a diagnosis of dementia are discharged to skilled nursing facilities (SNFs) after hospitalization annually. However, it is unclear how their risks and benefits of a SNF stay compare to beneficiaries without a diagnosis of dementia., Design: Retrospective analysis comparing SNF outcomes for Medicare beneficiaries with and without a diagnosis of dementia., Setting: One hundred percent sample of Medicare beneficiaries from 2015 to 2016., Participants: Dementia was identified using validated diagnosis codes. In beneficiaries who had an acute hospitalization followed by SNF stay, we used propensity score matching to balance demographics, comorbidities, characteristics of the index hospital stay, prior hospital and SNF utilization, and cognitive status on SNF admission., Measurements: Outcomes included unplanned hospital readmission, community discharge rate, and mortality during the SNF stay. Multivariate models were adjusted for hospital and SNF characteristics., Results: Our sample included 2,418,853 Medicare beneficiaries discharged from hospital to SNF; 830,524 (34.3%) carried a diagnosis of dementia. Overall, 14.7% of the sample had a hospital readmission, 5.0% died, and 61.5% were successfully discharged to the community. In the propensity-matched cohort, beneficiaries with a diagnosis of dementia had a lower odds ratio of mortality (OR 0.87; 95% confidence interval [CI] 0.86-0.89), similar odds of hospital readmission (OR 0.99; 95% CI 0.98-1.00), and reduced odds of discharge to the community (OR 0.92; 95% CI 0.91-0.93). However, these findings varied by the severity of cognitive impairment on SNF admission: in beneficiaries with no impairment, those with a diagnosis of dementia had higher odds of adverse outcomes. In beneficiaries with severe impairment, beneficiaries with a diagnosis of dementia had lower odds of adverse outcomes., Conclusions: Cognitive dysfunction on SNF admission is a stronger predictor of outcomes than a diagnosis of dementia, suggesting the need to individualize decisions about the benefits and risks of SNF care in populations with cognitive impairment., (© 2021 The American Geriatrics Society.)