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OBJECTIVE: To compare rates of incident SARS-CoV-2 infection and 30-day hospitalization or death among residents with confirmed infection in nursing homes with earlier versus later SARS-CoV-2 vaccine clinics. DESIGN: Matched pairs analysis of nursing homes that had their initial vaccine clinics between December 18, 2020, and January 2, 2021, versus between January 3, 2021, and January 18, 2021. Matched facilities had their initial vaccine clinics between 12 and 16 days apart. SETTING AND PARTICIPANTS: Two hundred and eighty nursing homes in 21 states owned and operated by the largest long-term care provider in the United States. MEASUREMENTS: Incident SARS-CoV-2 infections per 100 at-risk residents per week; hospital transfers and/or deaths per 100 residents with confirmed SARS-CoV-2 infection per day, averaged over a week. RESULTS: The early vaccinated group included 136 facilities with 12,157 residents; the late vaccinated group included 144 facilities with 13,221 residents. After 1 week, early vaccinated facilities had a predicted 2.5 fewer incident SARS-CoV-2 infections per 100 at-risk residents per week (95% CI: 1.2-4.0) compared with what would have been expected based on the experience of the late vaccinated facilities. The rates remained significantly lower for several weeks. Cumulatively over 5 weeks, the predicted reduction in new infections was 5.2 cases per 100 at-risk residents (95% CI: 3.2-7.3). By 5 to 8 weeks post-vaccine clinic, early vaccinated facilities had a predicted 1.1 to 3.8 fewer hospitalizations and/or deaths per 100 infected residents per day, averaged by week than expected based on late vaccinated facilities' experience for a cumulative on average difference of 5 events per 100 infected residents per day. CONCLUSIONS: The SARS-CoV-2 vaccines seem to have accelerated the rate of decline of incident infections, morbidity, and mortality in this large multi-state nursing home population.

Improved therapeutics and supportive care in hospitals have helped reduce mortality from COVID-19. However, there is limited evidence as to whether nursing home residents, who account for a disproportionate share of COVID-19 deaths and are often managed conservatively in the nursing home instead of being admitted to the hospital, have experienced similar mortality reductions. In this study we examined changes in thirty-day mortality rates between March and November 2020 among 12,271 nursing home residents with COVID-19. We found that adjusted mortality rates significantly declined from a high of 20.9 percent in early April to 11.2 percent in early November. Mortality risk declined for residents with both symptomatic and asymptomatic infections and for residents with both high and low clinical complexity. The mechanisms driving these trends are not entirely understood, but they may include improved clinical management within nursing homes, improved personal protective equipment supply and use, and genetic changes in the virus.

This cohort study evaluates changes in rehabilitation services provided by skilled nursing facilities during the COVID-19 pandemic.

Background Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outbreaks have become common in large nursing homes, placing not only residents but also staff and community members at risk for infection. However, the relationship between larger nursing homes and the community spread of SARS-CoV-2 has not yet been documented. Objective To examine the association between county average nursing home bed size and presence of certificate of need (CON) laws, which influence nursing home size, with county-level SARS-CoV-2 prevalence over time. Design Cross-sectional study using county-level data from March 11 through June 12, 2020. Participants All US counties with at least one nursing home (n = 2,883). Main Measures The main explanatory variables were county average nursing home bed size and presence of a CON law. The main outcome was the cumulative number of SARS-CoV-2 cases on each day of the study period adjusted for county population size and density, demographic and socioeconomic characteristics, total nursing home bed supply, other health care supply measures, epidemic stage, and census region. Key Results By June 12, a between-county difference in average nursing home size equal to 1 bed was associated with 3.92 additional SARS-COV-2 cases (95% CI = 2.14 to 5.69; P < 0.001), on average, and counties subject to CON laws had 104.53 additional SARS-CoV-2 cases (95% CI = 7.68 to 201.38; P < 0.05), on average. Counties with larger nursing homes also demonstrated higher growth in the frequency of SARS-COV-2 throughout the study period. Conclusions At the county level, average nursing home size and CON law presence was associated with a greater frequency of SARS-CoV-2 cases. Controlling the impact of the coronavirus 2019 pandemic may require additional resources for communities with larger nursing homes and more attention towards long-term care policies. Supplementary Information The online version contains supplementary material available at 10.1007/s11606-020-06518-2.

To examine differences in community mobility reduction and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outcomes across counties with differing levels of socioeconomic disadvantage.The sample included counties in the United States with at least one SARS-CoV-2 case between April 1 and May 15, 2020. Outcomes were growth in SARS-CoV-2 cases, SARS-CoV-2-related deaths, and mobility reduction across three settings: retail/recreation, grocery/pharmacy, and workplace. The main explanatory variable was the social deprivation index (SDI), a composite socioeconomic disadvantage measure.Adjusted differences in outcomes between low-, medium-, and high-SDI counties (defined by tertile) were calculated using linear regression with state-fixed effects. Workplace mobility reduction was 1.75 (95% CI, -2.36 to -1.14; P.001) and 3.48 percentage points (95% CI, -4.21 to -2.75; P.001) lower for medium- and high-SDI counties relative to low-SDI counties, respectively. Mobility reductions in the other settings were also significantly lower for higher-SDI counties. In analyses adjusted for SARS-CoV-2 prevalence on April 1, medium- and high-SDI counties had 1.39 (95% CI, 0.85 to 1.93; P.001) and 2.56 (95% CI, 1.77 to 3.34; P.001) more SARS-CoV-2 cases/1000 population on May 15 compared with low-SDI counties, respectively. Deaths per capita were also significantly higher for higher-SDI counties.Counties with higher social deprivation scores experienced greater growth in SARS-CoV-2 cases and deaths, but reduced mobility at lower rates. These findings are consistent with evidence demonstrating that economically disadvantaged communities have been disproportionately impacted by the coronavirus disease 2019 pandemic. Efforts to socially distance may be more burdensome for these communities, potentially exacerbating disparities in SARS-CoV-2-related outcomes.

BACKGROUND/OBJECTIVES: We sought to compare the post-acute and long-term care experience of Medicare beneficiaries with and without Alzheimer Disease and Related Dementias (ADRD), and whether differences changed from January 1, 2007 to September 30, 2015. DESIGN: Retrospective cross-sectional trend study using Medicare claims linked to the Centers for Medicare & Medicaid Services’ (CMS) Minimum Data Set. SETTING: CMS-certified skilled nursing facilities (skilled nursing facility (SNF), n = 17,043). PARTICIPANTS: Fee-for-service Medicare beneficiaries aged ≥66 years (n = 6,614,939) discharged from a hospital to a SNF who had not lived in a nursing home during the year before hospitalization. MEASUREMENTS: ADRD was defined by the Chronic Condition Data Warehouse. Outcome measures included: (1) successful discharge defined as being in SNF less than 90 days, then discharged back to the community, alive without subsequent inpatient health care for 30 continuous days; (2) became long-stay resident in SNF; (3) death in SNF within 90 days; (4) hospital readmission within 30 days of entering SNF; and (5) transferred to another nursing home within 30 days of entering SNF. RESULTS: Successful discharge of beneficiaries with ADRD increased from 43.4% in 2007 to 53.9% in 2015 (average annual percent change (AAPC) = 2.1 (95% CI = 2.0–2.2)); those without ADRD also increased (from 59.1% to 63.6%, AAPC = 0.9 (95% CI = 0.7–1.1)) but not as fast as those with ADRD (P < .01). The proportion of all beneficiaries who became long-stay or were readmitted to the hospital decreased (P < .05). The proportion with ADRD who became long-stay was nearly three times higher than those without throughout the study (15.0% vs 5.5% in 2007; 11.3% vs 4.3% in 2015). CONCLUSION: Though disparity in ADRD in becoming long-stay residents remains, the increase in successful discharges among those with ADRD also stresses the increasing importance of community as a care setting for adults with ADRD.

BACKGROUND: Medicare Advantage (MA) covers more than 1/3rd of all Medicare beneficiaries. MA plans are required to provide the same benefits as Traditional Medicare (TM), but can impose utilization management tools to control costs. OBJECTIVE: To assess differences between TM and MA enrollees in the probability of receiving prescribed post-acute home health (HH) care and to describe MA plan characteristics associated with HH receipt. DESIGN: Retrospective cross-sectional analysis of claims data, HH patient assessment data, and MA plan data from 2011 to 2017. PARTICIPANTS: Medicare beneficiaries aged 66 and older with an incident hospitalization for joint replacement, pneumonia, chronic obstructive pulmonary disease, stroke, urinary tract infection, septicemia, acute renal failure, or congestive heart failure. MAIN MEASURES: Receipt of prescribed HH as indicated by a HH discharge code and corresponding HH patient assessment within 14 days of hospital discharge. KEY RESULTS: There were 2,723,245 beneficiaries prescribed HH at discharge (68% TM, 32% MA). About 75% of TM enrollees and 62% of MA enrollees received prescribed post-acute HH. In adjusted analyses, MA enrollees had an −11.7 percentage point (pp) (95% confidence interval (CI): −16.8, −6.5) lower probability of receiving HH compared with TM enrollees. In adjusted analyses, HMO enrollees in plans with cost sharing (− 8.4 pp; 95% CI: − 14.3, − 2.5), referrals (− 3.7 pp; 95% CI: − 6.1, − 1.2), and pre-authorization (− 5.1 pp; 95% CI: − 8.3, − 2.0) were less likely to receive prescribed HH. In adjusted analyses, PPO enrollees in plans with cost sharing were −7.0 pp (95% CI: − 12.7, − 1.4) less likely to receive HH, but there was no difference for those with referrals (1.1 pp; 95% CI, − 1.5, 3.7) or pre-authorization (1.6 pp; 95% CI: − 0.6, − 3.9). CONCLUSIONS: Among Medicare beneficiaries, MA enrollees were less likely to receive prescribed post-acute HH compared with TM. As enrollment in MA continues to grow, it is important to examine how differences in utilization relate to outcomes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11606-020-06282-3) contains supplementary material, which is available to authorized users.

Hospitals and skilled nursing facilities (SNFs) face increasing pressure to improve care coordination and reduce unnecessary readmissions. One strategy to accomplish this is to share physicians and...

ImportanceIndividuals with Alzheimer disease and related dementias (ADRD) frequently require skilled nursing facility (SNF) care following hospitalization. Despite lower SNF incentives to care for the ADRD population, knowledge on how the quality of SNF care differs for those with vs without ADRD is limited.ObjectiveTo examine whether persons with ADRD are systematically admitted to lower-quality SNFs.Design, Setting, and ParticipantsCross-sectional analysis of Medicare beneficiaries hospitalized between January 1, 2017, and December 31, 2019, was conducted. Data analysis was performed from January 15 to May 30, 2022. Participants were discharged to a Medicare-certified SNF from a general acute hospital. Patients younger than 65 years, enrolled in Medicare Advantage, and with prior SNF or long-term nursing home use within 1 year of hospitalization were excluded.ExposuresThe quality level of all SNFs available at the patient’s discharge, measured using publicly reported 5-star staffing ratings. The 5-star ratings were grouped into 3 levels (1-2 stars [reference category, low-quality], 3 stars [average-quality], and 4-5 stars [high-quality]).Main Outcomes and MeasuresThe outcome was the SNF a patient entered among the possible SNF destinations available at discharge. Differences in the association between SNF quality and SNF entry for patients with and without ADRD were assessed using a conditional logit model, which simultaneously controls for differences in discharging hospital, residential neighborhood, and the other characteristics (eg, postacute care specialization) of all SNFs available at discharge.ResultsThe sample included 2 619 464 patients (mean [SD] age, 81.3 [8.6] years; 61% women; 87% were White; 8% were Black; 22% with ADRD). The probability of discharge to higher quality SNFs was lower for patients with ADRD. If the star rating of an SNF was high instead of low, the log-odds of being discharged to it increased by 0.31 for patients with ADRD and by 0.47 for those without ADRD (difference, −0.16; P Conclusions and RelevanceThe findings of this study suggest that patients with ADRD are more likely to be discharged to lower-quality SNFs. Targeted reforms, such as ADRD-specific compensation adjustments, may be needed to improve access to better SNFs for patients with ADRD.

To examine the risk of contracting SARS-CoV-2 during a post-acute skilled nursing facility (SNF) stay and the associated risk of death.Cohort study using Minimum Data Set and electronic health record data from a large multistate long-term care provider. Primary outcomes included testing positive for SARS-CoV-2 during the post-acute SNF stay, and death among those who tested positive.The sample included all new admissions to the provider's 286 SNFs between January 1 and December 31, 2020. Patients known to be infected with SARS-CoV-2 at the time of admission were excluded.SARS-CoV-2 infection and mortality rates were measured in time intervals by month of admission. A parametric survival model with SNF random effects was used to measure the association of patient demographic factors, clinical characteristics, and month of admission, with testing positive for SARS-CoV-2.The sample included 45,094 post-acute SNF admissions. Overall, 5.7% of patients tested positive for SARS-CoV-2 within 100 days of admission, with 1.0% testing positive within 1-14 days, 1.4% within 15-30 days, and 3.4% within 31-100 days. Of all newly admitted patients, 0.8% contracted SARS-CoV-2 and died, whereas 6.7% died without known infection. Infection rates and subsequent risk of death were highest for patients admitted during the first and third US pandemic waves. Patients with greater cognitive and functional impairment had a 1.45 to 1.92 times higher risk of contracting SARS-CoV-2 than patients with less impairment.The absolute risk of SARS-CoV-2 infection and death during a post-acute SNF admission was 0.8%. Those who did contract SARS-CoV-2 during their SNF stay had nearly double the rate of death as those who were not infected. Findings from this study provide context for people requiring post-acute care, and their support systems, in navigating decisions around SNF admission during the SARS-CoV-2 pandemic.

Editor’s PerspectiveWhat We Already Know about This TopicWhat This Article Tells Us That Is NewBackgroundPostoperative delirium and postoperative cognitive dysfunction share risk factors and may co-occur, but their relationship is not well established. The primary goals of this study were to describe the prevalence of postoperative cognitive dysfunction and to investigate its association with in-hospital delirium. The authors hypothesized that delirium would be a significant risk factor for postoperative cognitive dysfunction during follow-up.MethodsThis study used data from an observational study of cognitive outcomes after major noncardiac surgery, the Successful Aging after Elective Surgery study. Postoperative delirium was evaluated each hospital day with confusion assessment method–based interviews supplemented by chart reviews. Postoperative cognitive dysfunction was determined using methods adapted from the International Study of Postoperative Cognitive Dysfunction. Associations between delirium and postoperative cognitive dysfunction were examined at 1, 2, and 6 months.ResultsOne hundred thirty-four of 560 participants (24%) developed delirium during hospitalization. Slightly fewer than half (47%, 256 of 548) met the International Study of Postoperative Cognitive Dysfunction-defined threshold for postoperative cognitive dysfunction at 1 month, but this proportion decreased at 2 months (23%, 123 of 536) and 6 months (16%, 85 of 528). At each follow-up, the level of agreement between delirium and postoperative cognitive dysfunction was poor (kappa less than .08) and correlations were small (r less than .16). The relative risk of postoperative cognitive dysfunction was significantly elevated for patients with a history of postoperative delirium at 1 month (relative risk = 1.34; 95% CI, 1.07–1.67), but not 2 months (relative risk = 1.08; 95% CI, 0.72–1.64), or 6 months (relative risk = 1.21; 95% CI, 0.71–2.09).ConclusionsDelirium significantly increased the risk of postoperative cognitive dysfunction in the first postoperative month; this relationship did not hold in longer-term follow-up. At each evaluation, postoperative cognitive dysfunction was more common among patients without delirium. Postoperative delirium and postoperative cognitive dysfunction may be distinct manifestations of perioperative neurocognitive deficits.

BACKGROUND: Developing a definition of what constitutes high need among Medicare beneficiaries using administrative data is an important prerequisite to evaluating value-based payment reforms. While various definitions of high need exist, their predictive validity for different patient outcomes in the following year has not been systematically assessed for both fee-for-service (FFS) and Medicare Advantage (MA) beneficiaries. OBJECTIVE: To develop a definition of high need using administrative data in 2014 and to examine its predictive validity for patient outcomes in 2015 as compared to alternative definitions for both FFS and MA beneficiaries. DESIGN: Retrospective cohort study of national Medicare claims and post-acute assessment data. PARTICIPANTS: All Medicare beneficiaries in 2014 who survived until the end of the year (n = 54,717,039). MAIN MEASURES: Two or more complex conditions, 6 or more chronic conditions, acute or post-acute health services utilization, indicators of frailty, complete dependency in mobility or in any activities of daily living in post-acute care assessments, hospitalization, mortality, days in community, Medicare expenditures. KEY RESULTS: Based on our definition of high-need patients, 13.17% of FFS and 8.85% of MA beneficiaries were identified as high need in 2014. High-need FFS patients had mortality rates 7.1 times higher (16.23% vs. 2.27%) and hospitalization rates 3.4 times higher (40.69 vs. 12.03) in 2015 compared to other beneficiaries. Competing high-need definitions all had good specificity (≥ 0.88). Having 3 or more Hierarchical Chronic Conditions yielded a good positive predictive value for hospitalization, at 0.50, but only identified 19.71% of FFS beneficiaries hospitalized and 28.46% of FFS decedents that year as high need, as opposed to 33.92% and 51.98% for the new definition. Results were similar for MA beneficiaries. CONCLUSIONS: The proposed high-need definition has better sensitivity and yields a sample of almost 5 million FFS and 1.5 million MA beneficiaries, facilitating outcome performance comparisons across health systems. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11606-018-4781-3) contains supplementary material, which is available to authorized users.

Importance The coronavirus disease 2019 (COVID-19) pandemic has severely affected nursing homes. Vulnerable nursing home residents are at high risk for adverse outcomes, but improved understanding is needed to identify risk factors for mortality among nursing home residents. Objective To identify risk factors for 30-day all-cause mortality among US nursing home residents with COVID-19. Design, setting, and participants This cohort study was conducted at 351 US nursing homes among 5256 nursing home residents with COVID-19-related symptoms who had severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection confirmed by polymerase chain reaction testing between March 16 and September 15, 2020. Exposures Resident-level characteristics, including age, sex, race/ethnicity, symptoms, chronic conditions, and physical and cognitive function. Main outcomes and measures Death due to any cause within 30 days of the first positive SARS-CoV-2 test result. Results The study included 5256 nursing home residents (3185 women [61%]; median age, 79 years [interquartile range, 69-88 years]; and 3741 White residents [71%], 909 Black residents [17%], and 586 individuals of other races/ethnicities [11%]) with COVID-19. Compared with residents aged 75 to 79 years, the odds of death were 1.46 (95% CI, 1.14-1.86) times higher for residents aged 80 to 84 years, 1.59 (95% CI, 1.25-2.03) times higher for residents aged 85 to 89 years, and 2.14 (95% CI, 1.70-2.69) times higher for residents aged 90 years or older. Women had lower risk for 30-day mortality than men (odds ratio [OR], 0.69 [95% CI, 0.60-0.80]). Two comorbidities were associated with mortality: diabetes (OR, 1.21 [95% CI, 1.05-1.40]) and chronic kidney disease (OR, 1.33 [95%, 1.11-1.61]). Fever (OR, 1.66 [95% CI, 1.41-1.96]), shortness of breath (OR, 2.52 [95% CI, 2.00-3.16]), tachycardia (OR, 1.31 [95% CI, 1.04-1.64]), and hypoxia (OR, 2.05 [95% CI, 1.68-2.50]) were also associated with increased risk of 30-day mortality. Compared with cognitively intact residents, the odds of death among residents with moderate cognitive impairment were 2.09 (95% CI, 1.68-2.59) times higher, and the odds of death among residents with severe cognitive impairment were 2.79 (95% CI, 2.14-3.66) times higher. Compared with residents with no or limited impairment in physical function, the odds of death among residents with moderate impairment were 1.49 (95% CI, 1.18-1.88) times higher, and the odds of death among residents with severe impairment were 1.64 (95% CI, 1.30-2.08) times higher. Conclusions and relevance In this cohort study of US nursing home residents with COVID-19, increased age, male sex, and impaired cognitive and physical function were independently associated with mortality. Understanding these risk factors can aid in the development of clinical prediction models of mortality in this population.

IMPORTANCE: Critical access hospitals (CAHs) provide care to rural communities. Increasing mortality rates have been reported for CAHs relative to non-CAHs. Because Medicare reimburses CAHs at cost, CAHs may report fewer diagnoses than non-CAHs, which may affect risk-adjusted comparisons of outcomes. OBJECTIVE: To assess serial differences in risk-adjusted mortality rates between CAHs and non-CAHs after accounting for differences in diagnosis coding. DESIGN, SETTING, AND PARTICIPANTS: Serial cross-sectional study of rural Medicare Fee-for-Service beneficiaries admitted to US CAHs and non-CAHs for pneumonia, heart failure, chronic obstructive pulmonary disease, arrhythmia, urinary tract infection, septicemia, and stroke from 2007 to 2017. The final date of follow-up was December 31, 2017. EXPOSURE: Admission to a CAH vs non-CAH. MAIN OUTCOMES AND MEASURES: Discharge diagnosis count including trends from 2010 to 2011 when Medicare expanded the allowable number of billing codes for hospitalizations, and combined in-hospital and 30-day postdischarge mortality adjusted for demographics, primary diagnosis, preexisting conditions, and with vs without further adjustment for Hierarchical Condition Category (HCC) score to understand the contribution of in-hospital secondary diagnoses. RESULTS: There were 4 094 720 hospitalizations (17% CAH) for 2 850 194 unique Medicare beneficiaries (mean [SD] age, 76.3 [11.7] years; 55.5% women). Patients in CAHs were older (median age, 80.1 vs 76.8 years) and more likely to be female (58% vs 55%). In 2010, the adjusted mean discharge diagnosis count was 7.52 for CAHs vs 8.53 for non-CAHs (difference, −0.99 [95% CI, −1.08 to −0.90]; P

OBJECTIVE To identify county and facility factors associated with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outbreaks in skilled nursing facilities (SNFs). DESIGN Cross-sectional study linking county SARS-CoV-2 prevalence data, administrative data, state reports of SNF outbreaks, and data from Genesis HealthCare, a large multistate provider of post-acute and long-term care. State data are reported as of April 21, 2020; Genesis data are reported as of May 4, 2020. SETTING AND PARTICIPANTS The Genesis sample consisted of 341 SNFs in 25 states, including a subset of 64 SNFs that underwent universal testing of all residents. The non-Genesis sample included all other SNFs (n = 3,016) in the 12 states where Genesis operates that released the names of SNFs with outbreaks. MEASUREMENTS For Genesis and non-Genesis SNFs: any outbreak (one or more residents testing positive for SARS-CoV-2). For Genesis SNFs only: number of confirmed cases, SNF case fatality rate, and prevalence after universal testing. RESULTS One hundred eighteen (34.6%) Genesis SNFs and 640 (21.2%) non-Genesis SNFs had outbreaks. A difference in county prevalence of 1,000 cases per 100,000 (1%) was associated with a 33.6 percentage point (95% confidence interval (CI) = 9.6-57.7 percentage point; P = .008) difference in the probability of an outbreak for Genesis and non-Genesis SNFs combined, and a difference of 12.5 cases per facility (95% CI = 4.4-20.8 cases; P = .003) for Genesis SNFs. A 10-bed difference in facility size was associated with a 0.9 percentage point (95% CI = 0.6-1.2 percentage point; P

Objectives To examine the association of patient and direct-care staff beliefs about patients' capability to increase independence with activities of daily living (ADL) and the probability of successful discharge to the community after a skilled nursing facility (SNF) stay. Design Retrospective cohort study of SNF patients using 100% Medicare inpatient claims and Minimum Data Set resident assessment data. Linear probability models were used to estimate the probability of successful discharge based on patient and staff beliefs about the patient's ability to improve in function, as well as patient and staff beliefs together. Estimates were adjusted for demographics, health status, functional characteristics, and SNF fixed effects. Participants Fee-for-service Medicare beneficiaries (N=526,432) aged 66 years or older who were discharged to an SNF after hospitalization for stroke, hip fracture, or traumatic brain injury. Interventions Not applicable. Main Outcome Measures Successful community discharge (discharged alive within 90d of SNF admission and remaining in the community for ≥30d without dying or health care facility readmission). Results Patients with positive beliefs about their capability to increase independence with ADLs had a higher adjusted probability of successful discharge than patients with negative beliefs (positive, 63.8%; negative, 57.8%; difference, 6.0%, 95% confidence interval [CI], 5.4-6.6). This remained true regardless of staff beliefs, but the difference in successful discharge probability between patients with positive and negative beliefs was larger when staff had positive beliefs. Conversely, the association between staff beliefs and successful discharge varied based on patient beliefs. If patients had positive beliefs, the difference in the probability of successful discharge between positive and negative staff beliefs was 2.5% (95% CI, 1.0-4.0). If patients had negative beliefs, the difference between positive and negative staff beliefs was –4.6% (95% CI, –6.0 to –3.2). Conclusions Patients' beliefs have a significant association with the probability of successful discharge. Understanding patients' beliefs is critical to appropriate goal-setting, discharge planning, and quality SNF care.

Objectives To examine whether higher obesity level was associated with extensive staffing assistance (from 2 or more persons) for completing activities of daily living (ADL) among older nursing home residents. Design Retrospective cross-sectional study. Setting US government–certified nursing homes. Participants Medicare beneficiaries residing in a nursing home on April 1, 2015. Exclusion criteria were age less than 65 years and body mass index (BMI) below 18.5 (underweight). Measures Residents were divided by obesity level according to established BMI cutoffs, as follows: nonobese (BMI = 18.5-29.9) or mild (BMI = 30.0-34.9), moderate (BMI = 35.0-39.9), or severe (BMI ≥40) obesity. Level of staffing assistance for completing each of 10 ADL (bed mobility, transfer, walking in room, walking in corridor, on- and off-unit locomotion, dressing, eating, toileting, and personal hygiene) was dichotomized as below 2 and 2 or more. Robust Poisson regression was used to test whether obesity conferred excess risk for needing 2 or more staff to complete each ADL. Adjusted models included individual-level covariates and nursing home fixed effects. Results A total of 1,063,383 nursing home residents were identified, including 309,263 (29.0%) with obesity. Adjusted relative risks (95% confidence intervals) for 2-person assistance with bed mobility associated with mild, moderate, and severe obesity were 1.17 (1.15, 1.18), 1.28 (1.25, 1.31), and 1.40 (1.36, 1.43), respectively. Adjusted relative risks for 2-person assistance with transferring associated with mild, moderate, and severe obesity were 1.15 (1.13, 1.17), 1.24 (1.22, 1.27), and 1.36 (1.33, 1.39), respectively. Obesity was associated with 2-person assistance for all other ADL except for eating. Conclusions Higher obesity level was significantly associated with assistance from 2 or more staff for completing 9 of 10 ADL. Given increasing obesity rates in nursing homes, payment mechanisms that do not adjust for obesity or comprehensively account for excess ADL assistance may need revision to prevent adverse impacts on the long-term care system.

Background Many factors may potentially complicate the stroke recovery process, including persistently impaired level of consciousness (LOC)—whether from residual stroke effects or from superimposed delirium. We aimed to determine the degree to which impaired LOC at hospital discharge is associated with outcomes after ischemic stroke. Methods We conducted a single-center retrospective cohort study using prospectively-collected data from 2015 to 2017, collecting total NIHSS-LOC score at discharge as well as subscores for responsiveness (LOC-R), orientation questions (LOC-Q), and command-following (LOC-C). We determined associations between LOC scores and 3-month outcome using logistic regression, with discharge location (skilled nursing facility [SNF] vs. inpatient rehabilitation) representing a pre-specified secondary outcome. Results We identified 1003 consecutive patients with ischemic stroke who survived to discharge, of whom 32% had any LOC score > 0. Total LOC score at discharge was associated with unfavorable 3-month outcome (OR 4.9 [95% CI 2.4–9.8] for LOC = 1; OR 8.0 [2.7–23.9] for LOC = 2–3; OR 6.3 [2.1–18.5] for LOC = 4–5; all patients with LOC = 6–7 had poor outcomes), as were subscores for LOC-R (OR 5.3 [1.3–21.2] for LOC-R = 1; all patients with LOC-R = 2–3 had poor outcomes) and LOC-Q (OR 4.1 [2.1–8.3] for LOC-Q = 1; OR 4.9 [1.8–13.5] for LOC-Q = 2). Total LOC score (OR 2.6 [1.3–5.3] for LOC = 1; OR 3.1 [1.2–8.2] for LOC = 2–3) and LOC-Q (OR 3.3 [1.6–6.6] for LOC-Q = 1; OR 3.4 [1.3–9.0] for LOC-Q = 2) were also associated with discharge to SNF rather than to inpatient rehabilitation. Conclusions The presence of impaired consciousness or disorientation at discharge is associated with markedly worse outcomes after ischemic stroke. Further studies are necessary to determine the separate effects of residual stroke-related LOC changes and those caused by superimposed delirium.

Objectives To examine the effect of obesity (body mass index (BMI)≥30.0 kg/m2) on outcomes of older adults admitted to skilled nursing facilities (SNFs) for hip fracture postacute care (PAC). Design Retrospective cohort study. Setting U.S. Medicare‐ and Medicaid‐certified SNFs from 2008 to 2015. Participants Medicare fee‐for‐service beneficiaries discharged to a SNF after hospitalization for hip fracture (N=586,683; n=82,768 (14.1%) meeting obesity criteria). Exclusion criteria were aged younger than 65, being underweight (BMI100) according to obesity level. Models were adjusted for individual‐level covariates and facility fixed effects. Results Residents with mild (adjusted relative risk (aRR)=1.16, 95% CI=1.12–1.19), moderate (aRR=1.27, 95% CI=1.20–1.35), and severe (aRR=1.67, 95% CI=1.54–1.82) obesity were more likely to be readmitted within 30 days than those who were not obese. The average difference in LOS between residents without obesity and those with mild obesity was 2.6 days (95% CI=2.2–2.9 days); moderate obesity, 4.2 days (95% CI=3.7–5.1 days); and severe obesity, 7.0 days (95% CI=5.9–8.2 days). Residents with obesity were less likely to be successfully discharged and more likely to become long‐stay nursing home residents. Conclusion Obesity was associated with worse outcomes in postacute SNF residents with hip fracture. Efforts to provide targeted care to residents with obesity may be essential to improve outcomes. Obesity may be an overlooked risk adjuster in quality‐of‐care measures and in payment reforms related to PAC for individuals with hip fracture.

A convenience sample of skilled nursing facilities was selected from a sample of graduates of an online training program for RNs who subsequently achieved board certification in gerontological nursing (RN-BC). Facilities that employed one or more RN-BC were pair-matched using 11 organizational characteristics with facilities that did not employ a RN-BC. Facility data were collected at two time points, and differences between time points and between facility type (RN-BC versus non-RN-BC) were analyzed. Findings showed that there were no statistically significant differences between RN-BC and non-RN-BC facilities with respect to quality ratings and nurse sensitive clinical indicators (e.g., restraint use, urinary tract infections, falls, antipsychotic medication use) between the two time periods; however, in the second time period, RN-BC facilities showed greater improvement versus non-RN-BC facilities in seven of nine outcomes, achieving significance in Overall (4.10 vs. 3.55, p < 0.01) and Survey (3.48 vs. 2.86, p < 0.01) 5-Star ratings. [ Journal of Gerontological Nursing, 45 (11), 39–45.]

Rising care complexity in skilled nursing facilities (SNFs), coupled with growing shortages of geriatricians and other primary care physicians able to see SNF patients, have increased demand for nurse practitioners and physician assistants (NP/PAs). We used 2008-2016 Medicare Part A and B claims and nursing home assessment data to describe longitudinal trends in NP/PA practice in SNFs. We identified 8,877,094 SNF post-acute primary care visits for 1,494,113 Medicare beneficiaries. The total number of visits increased from 850,285 in 2008 to 1,189,553 in 2016. The share of visits by NP/PAs rose significantly over time, from 24% of visits in 2008 to 43% in 2016. 71% of SNFs (n=10,139) used NP/PAs in 2016, up from 46% (n=6,696) in 2008. The number of NP/PAs practicing in SNFs more than doubled, from 4,472 clinicians in 2008 to 10,000 in 2016. The number of physicians practicing in SNFs declined from 26,297 in 2008 to 19,745 in 2016. NP/PAs represented 14% of all SNF medical providers in 2008 and 34% of providers in 2016. In 2016, 48% of NP/PAs were SNFists (i.e. >90% of visits billed in SNF), vs. only 11% of physicians. SNFs with NP/PAs are on average larger, more likely urban, for profit, and care for larger populations of racial minorities, than SNFs without NP/PAs. SNFs with NP/PAs also have more short-stay Medicare residents, more admissions, higher nurse and rehab staffing levels, and higher case mix. These findings show that NP/PAs are taking on increasingly prominent roles as medical providers in SNFs.

This cross-sectional study examines the prevalence of asymptomatic and presymptomatic severe acute respiratory syndrome coronavirus 2 infection in skilled nursing facilities.

Objectives To derive and validate a method for scoring delirium severity using a recently validated, brief, structured diagnostic interview for Confusion Assessment Method (CAM)-defined delirium (3D-CAM) and to demonstrate its agreement with the CAM Severity short form (CAM-S SF) as the reference standard. Design Derivation and validation analysis in a prospective cohort study. Setting Two academic medical centers. Participants Individuals aged 70 and older enrolled in the Successful Aging after Elective Surgery Study undergoing major elective noncardiac surgery (N = 566). Measurements The sample was randomly divided into a derivation dataset (n = 377) and an independent validation dataset (n = 189). These datasets were used to develop a severity scoring method using the 3D-CAM based on the four-item CAM-S SF (3D-CAM-S) and evaluate agreement between the 3D-CAM-S and the traditional CAM-S SF using weighted kappa statistics. Results A method for scoring severity using 3D-CAM items was developed that achieved good agreement with the CAM-S SF in the derivation dataset (κ = 0.94, 95% confidence interval (CI) = 0.93–0.95). The 3D-CAM-S achieved nearly identical agreement in the independent validation dataset (κ = 0.93, 95% CI = 0.92–0.95), and 100% of 3D-CAM-S scores were within 1 point of the CAM-S SF score in both datasets. The 3D-CAM-S also strongly predicts clinical outcomes. Conclusion A newly developed method for scoring delirium severity using the 3D-CAM (the 3D-CAM-S) has excellent agreement with the CAM-S SF. This new methodology enables clinicians and researchers using the 3D-CAM for surveillance to measure delirium severity and monitor its course simultaneously by tracking changes over time. The 3D-CAM-S expands the utility of the 3D-CAM as an important tool for delirium recognition and management.

Introduction As the relationship between delirium and long-term cognitive decline has not been well-explored, we evaluated this association in a prospective study. Methods SAGES is an ongoing study involving 560 adults age 70 years or more without dementia scheduled for major surgery. Delirium was assessed daily in the postoperative period using the Confusion Assessment Method. General Cognitive Performance (GCP) and the Informant Questionnaire for Cognitive Decline in the Elderly were assessed preoperatively then repeatedly out to 36 months. Results On average, patients with postoperative delirium had significantly lower preoperative cognitive performance, greater immediate (1 month) impairment, equivalent recovery at 2 months, and significantly greater long-term cognitive decline relative to the nondelirium group. Proxy reports corroborated the clinical significance of the long-term cognitive decline in delirious patients. Discussion Cognitive decline after surgery is biphasic and accelerated among persons with delirium. The pace of long-term decline is similar to that seen with mild cognitive impairment.

This cohort study examines differences among patients from urban vs rural counties in outcomes after discharge from acute care by discharge destination., Key Points Question Do postacute care utilization and outcomes differ between patients from rural vs urban counties who have been hospitalized for stroke, hip fracture, chronic obstructive pulmonary disease, congestive heart failure, or pneumonia? Findings In this cohort study of 2 044 231 US patients 66 years and older, overall postacute care utilization was similar among patients from rural and urban counties. Adjusted 30-day postdischarge mortality rates were higher among patients from rural counties than among those from urban counties, and adjusted rural-urban differences were larger among patients discharged to formal postacute care settings than among those discharged to the community setting. Meaning These findings suggest that improving postacute care in rural areas may reduce rural-urban disparities in patient outcomes after hospitalization., Importance Although people living in rural areas of the United States are disproportionately older and more likely to die of conditions that require postacute care than those living in urban areas, rural-urban differences in postacute care utilization and outcomes have been understudied. Objective To describe rural-urban differences in postacute care utilization and postdischarge outcomes. Design, Setting, and Participants This retrospective cohort study used data from Medicare beneficiaries 66 years and older admitted to 4738 US acute care hospitals for stroke, hip fracture, chronic obstructive pulmonary disease, congestive heart failure, or pneumonia between January 1, 2011, and September 30, 2015. Participants were tracked for 180 days after discharge. Data analyses were conducted between October 1, 2018, and May 30, 2019. Exposures County of residence was classified as urban or rural using the US Department of Agriculture Rural-Urban Continuum Codes. Rural counties were divided into those adjacent and not adjacent to urban counties. Main Outcomes and Measures Primary outcomes were discharge to community vs a formal postacute care setting (ie, skilled nursing facility, home health care, or inpatient rehabilitation facility) and readmission and mortality within 30, 90, and 180 days of hospital discharge. Results Among 2 044 231 hospitalizations from 2011 to 2015, 1 538 888 (75.2%; mean [SD] age, 80.4 [8.3] years; 866 540 [56.3%] women) were among patients from urban counties, 322 360 (15.8%; mean [SD] age, 79.6 [8.1] years; 175 806 [54.5%] women) were among patients from urban-adjacent rural counties, and 182 983 (9.0%; mean [SD] age, 79.8 [8.1] years; 98 775 [54.0%] women) were among patients from urban-nonadjacent rural counties. The probability of discharge to community without postacute care did not differ by rurality. However, compared with patients from urban counties, patients from the most rural counties were more frequently discharged to a skilled nursing facility (adjusted difference, 3.5 [95% CI, 2.8-4.3] percentage points), while discharge to an inpatient rehabilitation facility was less common among patients from rural counties than among those from urban counties (urban vs urban-adjacent rural: adjusted difference, –1.9 [95% CI, –2.4 to –1.4] percentage points; urban vs urban-nonadjacent rural: adjusted difference, –1.8 [95% CI, –2.4 to –1.2] percentage points) as was discharge to home health care (urban vs urban-adjacent rural: adjusted difference, –1.7 [95% CI, –2.3 to –1.2] percentage points; urban vs urban-nonadjacent rural: adjusted difference, –2.4 [95% CI, –3.0 to –1.8]). For patients from the most rural counties, adjusted 30-day readmission rates were 0.4 (95% CI, 0.2-0.6) percentage points higher than those of patients from urban counties among those who were discharged to the community but 0.3 (95% CI, –0.6 to –0.1) percentage points lower among patients receiving postacute care. Adjusted 30-day mortality rates were 0.4 (95% CI, 0.3-0.5) percentage points higher for patients from the most rural counties discharged to the community and 2.0 (95% CI, –1.7 to 2.3) percentage points higher among those receiving postacute care. Rural-urban differences in 90-day and 180-day outcomes were similar. Conclusions and Relevance These findings suggest that rates of discharge to the community and postacute care settings were similar among patients from rural and urban counties. Rural-urban differences in mortality following discharge were much larger for patients receiving postacute care compared with patients discharged to the community setting. Improving postacute care in rural areas may reduce rural-urban disparities in patient outcomes.

To examine the effect of obesity (body mass index (BMI)≥30.0 kg/mRetrospective cohort study.U.S. Medicare- and Medicaid-certified SNFs from 2008 to 2015.Medicare fee-for-service beneficiaries discharged to a SNF after hospitalization for hip fracture (N=586,683; n=82,768 (14.1%) meeting obesity criteria). Exclusion criteria were aged younger than 65, being underweight (BMI18.5 kg/mResidents were divided into 4 BMI categories according to cutoffs that the World Health Organization has established: not obese (BMI 18.5-29.9 kg/mResidents with mild (adjusted relative risk (aRR)=1.16, 95% CI=1.12-1.19), moderate (aRR=1.27, 95% CI=1.20-1.35), and severe (aRR=1.67, 95% CI=1.54-1.82) obesity were more likely to be readmitted within 30 days than those who were not obese. The average difference in LOS between residents without obesity and those with mild obesity was 2.6 days (95% CI=2.2-2.9 days); moderate obesity, 4.2 days (95% CI=3.7-5.1 days); and severe obesity, 7.0 days (95% CI=5.9-8.2 days). Residents with obesity were less likely to be successfully discharged and more likely to become long-stay nursing home residents.Obesity was associated with worse outcomes in postacute SNF residents with hip fracture. Efforts to provide targeted care to residents with obesity may be essential to improve outcomes. Obesity may be an overlooked risk adjuster in quality-of-care measures and in payment reforms related to PAC for individuals with hip fracture.

Objective To determine whether apolipoprotein E (ApoE) is associated with postoperative delirium incidence, severity, and duration in older patients free of dementia at baseline. Methods The authors examined 557 nondemented patients aged 70 years or older undergoing major noncardiac surgery enrolled in the Successful Aging after Elective Surgery Study. Three ApoE measures were considered: e2, e4 carriers versus noncarriers, and a three-category ApoE measure. Delirium was determined using the Confusion Assessment Method (CAM) and chart review. We used generalized linear models to estimate the association between ApoE and delirium incidence, severity (peak CAM Severity [CAM-S] score), and days. Results ApoE e2 and e4 was present in 15% and 19%, respectively, and postoperative delirium occurred in 24%. Among patients with delirium, the mean peak CAM-S score was 8.0 (standard deviation: 4), with most patients experiencing 1 or 2 delirium days (51% or 28%, respectively). After adjusting for age, sex, surgical procedure, and preoperative cognitive function, ApoE e4 and e2 carrier status were not associated with postoperative delirium: RR for e4 = 1.0, 95% CI: 0.7–1.5 and RR for e2 = 0.9, 95% CI: 0.6–1.4. No association between ApoE and delirium severity or number of delirium days was observed. Conclusion In older surgery patients free of dementia, our findings do not support the hypothesis that the ApoE genotype does not confer either risk or protection in postoperative delirium incidence, severity, or duration. Thus, an important genetic risk factor for Alzheimer disease does not affect risk of delirium.

Background:Intracranial volume (ICV) has been proposed as a measure of maximum lifetime brain size. Accurate ICV measures require neuroimaging which is not always feasible for epidemiologic investigations. We examined head circumference as a useful surrogate for ICV in older adults.Methods:99 older adults underwent Magnetic Resonance Imaging (MRI). ICV was measured by Statistical Parametric Mapping 8 (SPM8) software or Functional MRI of the Brain Software Library (FSL) extraction with manual editing, typically considered the gold standard. Head circumferences were determined using standardized tape measurement. We examined estimated correlation coefficients between head circumference and the two MRI-based ICV measurements.Results:Head circumference and ICV by SPM8 were moderately correlated (overall r = 0.73, men r = 0.67, women r = 0.63). Head circumference and ICV by FSL were also moderately correlated (overall r = 0.69, men r = 0.63, women r = 0.49).Conclusions:Head circumference measurement was strongly correlated with MRI-derived ICV. Our study presents a simple method to approximate ICV among older patients, which may prove useful as a surrogate for cognitive reserve in large scale epidemiologic studies of cognitive outcomes. This study also suggests the stability of head circumference correlation with ICV throughout the lifespan.

The objective of this study was to compare the outcomes of U.S. nursing home (NH) residents with dementia in facilities that did and did not implement the MUSIC & MEMORY intervention (M&M) in 2013. Data come from Minimum Data Set assessments for residents with dementia residing in 98 NHs participating in M&M (n=12,905) and matched-pair control facilities (n=12,811). We measured 180-day improvement in antipsychotic use, behavior, communication, and mood in 2012 and 2013. Results from difference-in-difference analyses suggest 180-day improvement in antipsychotic medication use was greater in M&M facilities compared to residents in control facilities (b=0.218, p

Obesity is a growing problem among elder nursing home residents. The impact of obesity on strength and mobility may prolong disability and complicate the recovery process for residents seeking to improve their physical function. The purpose of the current study is to examine the impact of obesity on short-term outcomes for residents with hip fracture admitted to Medicare and Medicaid certified nursing facilities for post-acute care. Minimum Data Set assessments were used to identify 402,470 residents admitted between January, 2011 and December, 2014. Residents aged

Objectives The objective of this study was to compare resident outcomes before and after implementation of an individualized music program, MUSIC & MEMORY (M&M), designed to address the behavioral and psychological symptoms associated with dementia (BPSD). Setting 98 nursing homes trained in the M&M program during 2013 and 98 matched-pair comparisons. Participants Long-stay residents with Alzheimer's disease and related dementias (ADRD) residing in M&M participating facilities (N = 12,905) and comparison facilities (N = 12,811) during 2012–2013. Intervention M&M is a facility-level quality improvement program that provides residents with music specific to their personal histories and preferences. Measurements Discontinuation of anxiolytic and antipsychotic medications, and reductions in behavioral problems and depressed mood in 2012 (pre-intervention) and 2013 (intervention), calculated using Minimum Data Set (MDS) assessments. Results The proportion of residents who discontinued antipsychotic medication use over a 6-month period increased from 17.6% to 20.1% among M&M facilities, while remaining stable among comparison facilities (15.9% to 15.2%). The same trend was observed for anxiolytic medications: Discontinuation of anxiolytics increased in M&M facilities (23.5% to 24.4%), while decreasing among comparison facilities (24.8% to 20.0%). M&M facilities also demonstrated increased rates of reduction in behavioral problems (50.9% to 56.5%) versus comparison facilities (55.8% to 55.9%). No differences were observed for depressed mood. Conclusions These results offer the first evidence that the M&M individualized music program is associated with reductions in antipsychotic medication use, anxiolytic medication use, and BPSD symptoms among long-stay nursing home residents with ADRD.

Objectives To identify the rate of delirium present during admission to postacute care (PAC) in the nursing home setting and to determine whether patients with delirium had higher risk for adverse outcomes. Design Retrospective cohort study. Setting US Medicare- and Medicaid-certified nursing homes, 2011 to 2014. Participants Individuals admitted to all US nursing homes for PAC, aged ≥65 years, and without prior history of nursing home residence (n = 5,588,702). Measurements Minimum Data Set (MDS) 3.0 admission assessments identified delirium based upon Confusion Assessment Method (CAM) items. Robust Poisson regression was used to calculate adjusted relative risks (aRRs) with 95% confidence intervals (CIs) for death following PAC admission, and for 30-day discharge outcomes including re-hospitalization from PAC, discharge home, and functional improvement. Results Delirium was identified in 4.3% of new postacute nursing home admissions. Mortality within 30 days of PAC admission was observed in 16.3% of patients with delirium and 5.8% of patients without delirium (aRR = 2.27, CI = 2.24–2.30). The rate of 30-day readmission from PAC was 21.3% for patients with delirium compared with 15.1% among patients without delirium (aRR = 1.42, 95% CI = 1.40, 1.43). 26.9% of patients with delirium were discharged home within 30 days of admission compared to 52.5% of patients without delirium (aRR = 0.57, 95% CI = 0.57, 0.58). 48.9% of patients with delirium showed functional improvement at discharge compared to 59.9% of patients without delirium (aRR = 0.83, 95% CI = 0.82, 0.83). Conclusions Patients with delirium present upon PAC admission were at high risk for mortality and 30-day re-hospitalization and were less likely to have timely discharge to home or to improve in physical function at discharge. Early identification and care planning for individuals with delirium at PAC admission may be essential to improve outcomes.

Background Traumatic brain injury is a leading cause of death and disability in the United States. In survivors, traumatic brain injury remains a leading contributor to long-term disability and results in many patients being admitted to skilled nursing facilities for postacute care. Despite this very large population of traumatic brain injury patients, very little is known about the long-term outcomes of traumatic brain injury survivors, including rates of discharge to home or risk of death in long-term nursing facilities. We hypothesized that patient demographics and functional status influence outcomes of patients with traumatic brain injury admitted to skilled nursing facilities. Methods We conducted a retrospective cohort study of Medicare fee-for-service beneficiaries aged 65 and older discharged alive and directly from hospital to a skilled nursing facility between 2011 and 2014 using the prospectively maintained Federal Minimum Data Set combined with Medicare claims data and the Centers for Medicare and Medicaid Services Vital Status files. Records were reviewed for demographic and clinical characteristics at admission to the skilled nursing facility, including age, sex, cognitive function, ability to communicate, and motor function. Activities of daily living were reassessed at discharge to calculate functional improvement. We used robust Poisson regression with skilled nursing facility fixed effects to calculate relative risks and 99% confidence intervals for mortality and functional improvement associated with the demographic and clinical characteristics present at admission. Linear regression was used to calculate adjusted mean duration of stay. Results Overall, 87,292 Medicare fee-for-service beneficiaries with traumatic brain injury were admitted to skilled nursing facilities. The mean age was 84 years, with 74% of patients older than age 80. Generally, older age, male sex, and poor cognitive or functional status at admission to a skilled nursing facility were associated with increased risk for poorer outcomes. Older patients (age ≥80 years) with traumatic brain injury had a 1.5 times greater risk of death within 30 days of admission compared with adults younger than 80 years (relative risk = 1.49, 99% confidence interval = 1.36, 1.64). Women were 37% less likely to die than men were (relative risk = 0.63, 99% confidence interval = 0.59, 0.68). The risk of death was greater for patients with poor cognitive function (relative risk = 2.55, 99% confidence interval = 2.32, 2.77), substantial motor impairment (relative risk = 2.44, 99% confidence interval = 2.16, 2.77), and patients with impairment in communication (relative risk = 2.58, 99% confidence interval = 2.32, 2.86) compared with those without the respective deficits. One year after admission, these risk factors continued to confer excess risk for mortality. Duration of stay was somewhat greater for older patients (30.1 compared with 27.5 average days) and patients with cognitive impairment (31.7 vs 27.5 average days). At discharge, patients with cognitive impairment (relative risk = 0.86, 99% confidence interval = 0.83, 0.88) and impairment in the ability to communicate (relative risk = 0.67, 99% confidence interval = 0.54, 0.82) were less likely to improve in physical function. Conclusion Our results suggest that among patients with traumatic brain injury admitted to skilled nursing facilities, the likelihood of adverse outcomes varies significantly by key demographic and clinical characteristics. These findings may facilitate setting expectations among patients and families as well as providers when these patients are admitted to skilled nursing facilities for rehabilitation after their acute episode.

Summary Background Cognitive and brain reserve theories suggest that aspects of neural architecture or cognitive processes modify the effect of neuropathological processes on cognitive outcomes. Although frequently studied in the context of dementia, reserve in delirium is understudied. Methods Using data from a prospective observational study, we examined the association of three markers of brain reserve (head circumference, MRI-derived brain volume, and leisure time physical activity), five markers of cognitive reserve (education, vocabulary, cognitive activities, cognitive demand of lifetime occupation, and interpersonal demand of lifetime occupation), and the risk of postoperative delirium in 566 older adults (age ≥70 years) free of dementia undergoing scheduled surgery. Findings 135 (24%) of 566 patients developed delirium during the postoperative hospital stay. Of the reserve markers examined, only the Wechsler Test of Adult Reading was associated with the risk of delirium. A 0·5 SD better performance on the Wechsler Test of Adult Reading was associated with a 38% reduction in delirium risk (adjusted risk ratio of 0·62, 95% CI 0·45–0·85; p=0·01). Interpretation Most markers of reserve failed to predict delirium risk. The exception to this is the Wechsler Test of Adult Reading. Our findings suggest that the reserve markers that are important for delirium might be different from those thought to be important for dementia. Funding National Institute on Aging, National Heart Lung and Blood Institute.

Objectives: To compare chart- and interview-based methods for identification of delirium. Design: Prospective cohort study. Setting: Two academic medical centers. Participants: Individuals aged 70 and older undergoing major elective surgery (N = 300) (majority orthopedic surgery). Measurements: Participants were interviewed daily during hospitalization for delirium using the Confusion Assessment Method (CAM; interview-based method), and their medical charts were reviewed for delirium using a validated chart-review method (chart-based method). Rate of agreement of the two methods and characteristics of those identified using each approach were examined. Predictive validity for clinical outcomes (length of stay, postoperative complications, discharge disposition) was compared. In the absence of a criterion standard, predictive value could not be calculated. Results: The cumulative incidence of delirium was 23% (n = 68) according to the interview-based method, 12% (n = 35) according to the chart-based method, and 27% (n = 82) according to the combined approach. Overall agreement was 80%; kappa was 0.30. The methods differed in detection of psychomotor features and time of onset. The chart-based method missed delirium in individuals that the CAM identified who were lacking features of psychomotor agitation or inappropriate behavior. The CAM-based method missed chart-identified cases occurring during the night shift. The combined method had high predictive validity for all clinical outcomes. Conclusions: Interview- and chart-based methods have specific strengths for identification of delirium. A combined approach captures the largest number and broadest range of delirium cases.

Key Points Question Do Medicare Advantage beneficiaries receive a different quality of care from home health agencies than traditional Medicare beneficiaries do? Findings In this cross-sectional study of more than 4 million home health agency admissions, Medicare Advantage beneficiaries were significantly less likely than traditional Medicare beneficiaries to receive treatment from high-quality home health agencies. Relative to traditional Medicare beneficiaries, the rate of receiving high-quality home health agency care was 4.9 percentage points lower for those enrolled in low-quality Medicare Advantage plans and 2.8 percentage points lower for those in high-quality Medicare Advantage plans. Meaning Policy makers may consider incentivizing Medicare Advantage plans to include high-quality home health agencies in their networks and improving patient education regarding home health agency quality., Importance Medicare Advantage (MA) enrollment is increasing, with one-third of Medicare beneficiaries currently selecting MA. Despite this growth, it is difficult to assess the quality of the health care professionals and organizations that serve MA beneficiaries or to compare them with health care professionals and organizations serving traditional Medicare (TM) beneficiaries. Elderly individuals served by home health agencies (HHAs) may be particularly susceptible to the negative outcomes associated with low-quality care. Objective To compare the quality of HHAs that serve TM and MA beneficiaries. Design, Setting, and Participants This cross-sectional, admission-level analysis used data from 4 391 980 home health admissions identified using the Outcome and Assessment Information Set (most commonly known as OASIS) admission assessments of Medicare beneficiaries in 2015 from Medicare-certified HHAs. A multinomial logistic regression model was used to assess whether an association existed between the Medicare plan type and HHA quality. The model was adjusted for patient demographics, acuity, and characteristics of the zip codes. Sensitivity analyses controlled for zip code fixed effects. The present analysis was conducted between October 2018 and March 2019. Exposures Home health users were classified as TM or MA beneficiaries using the Master Beneficiary Summary File. The MA beneficiaries were further classified as enrolled in a high- or low-quality MA plan on the basis of publicly reported MA star ratings. Main Outcomes and Measures Quality of HHA derived from the publicly reported patient care star ratings: low quality (1.0-2.5 stars), average quality (3.0-3.5 stars), or high quality (≥4.0 stars). Results Of 4 391 980 admissions, most (75.5%) were for TM beneficiaries (mean [SD] age, 76.1 [12.2] years), with 16.6% of beneficiaries enrolled in high-quality MA plans (mean [SD] age, 77.8 [10.0] years) and 7.9% in low-quality MA plans (mean [SD] age, 74.4 [11.4] years). Individuals enrolled in low-rated MA plans were most likely to be nonwhite (percentages of nonwhite individuals in TM, 14.3%; in high-quality MA, 19.8%; and in low-quality MA, 36.5%) and dual Medicare-Medicaid eligible (percentages for dual eligible in TM, 30.5%; in high-quality MA, 19.5%; and in low-quality MA, 43.3%). Among TM beneficiaries, 30.4% received care from high-quality HHAs, whereas 17.0% received care from low-quality HHAs. Compared with TM beneficiaries, those in a low-quality MA plan were 3.0 percentage points (95% CI, 2.6%-3.4%) more likely to be treated by a low-quality HHA and 4.9 percentage points (95% CI, −5.4% to −4.3%) less likely to be treated by a high-quality HHA. The MA beneficiaries in high-quality plans were also less likely to receive care from high-quality vs low-quality HHAs (−2.8% [95% CI, −3.1% to −2.2%] vs 1.0% [95% CI, 0.7%-1.3%]). Conclusions and Relevance Compared with TM beneficiaries, MA beneficiaries residing in the same zip code enrolled in either high- or low-quality MA plans may receive treatment from lower-quality HHAs. Policy makers may consider incentivizing MA plans to include higher-quality HHAs in their networks and improving patient education regarding HHA quality., This cross-sectional study compares the quality of home health agencies that serve traditional Medicare beneficiaries vs beneficiaries enrolled in high-quality or low-quality Medicare Advantage plans.

Background/objectives Delirium is the most common complication of major elective surgery in older patients. The Successful Aging after Elective Surgery (SAGES) study was designed to examine novel risk factors and long-term outcomes associated with delirium. This report describes the cohort, quality assurance procedures, and results. Design Long-term prospective cohort study. Setting Three academic medical centers. Participants A total of 566 patients age 70 and older without recognized dementia scheduled for elective major surgery. Measurements Participants were assessed preoperatively, daily during hospitalization, and at variable monthly intervals for up to 36 months post-discharge. Delirium was assessed in hospital by trained study staff. Study outcomes included cognitive and physical function. Novel risk factors for delirium were assessed including genetic and plasma biomarkers, neuroimaging markers, and cognitive reserve markers. Interrater reliability (kappa and weighted kappa) was assessed for key variables in 119 of the patient interviews. Results Participants were an average of 77 years old and 58% were female. The majority of patients (81%) were undergoing orthopedic surgery and 24% developed delirium post-operatively. Over 95% of eligible patients were followed for 18 months. There was >99% capture of key study outcomes (cognitive and functional status) at every study interview and interrater reliability was high (weighted kappas for delirium = 0.92 and for overall cognitive and functional outcomes = 0.94 -1.0). Completion rates for plasma biomarkers (4 timepoints) were 95%-99% and for neuroimaging (one year follow-up) was 86%. Conclusion The SAGES study will contribute to the understanding of novel risk factors, pathophysiology and long-term outcomes of delirium. This manuscript describes the cohort and data quality procedures, and will serve as a reference source for future studies based on SAGES.

Importance Major postoperative complications and delirium contribute independently to adverse outcomes and high resource use in patients who undergo major surgery; however, their interrelationship is not well examined. Objective To evaluate the association of major postoperative complications and delirium, alone and combined, with adverse outcomes after surgery. Design, Setting, and Participants Prospective cohort study in 2 large academic medical centers of 566 patients who were 70 years or older without recognized dementia or a history of delirium and underwent elective major orthopedic, vascular, or abdominal surgical procedures with a minimum 3-day hospitalization between June 18, 2010, and August 8, 2013. Data analysis took place from December 13, 2013, through May 1, 2015. Main Outcomes and Measures Major postoperative complications, defined as life-altering or life-threatening events (Accordion Severity grade 2 or higher), were identified by expert-panel adjudication. Delirium was measured daily with the Confusion Assessment Method and a validated medical record review method. The following 4 subgroups were analyzed: (1) no complications or delirium; (2) complications only; (3) delirium only; and (4) complications and delirium. Adverse outcomes included a length of stay (LOS) of more than 5 days, institutional discharge, and rehospitalization within 30 days of discharge. Results In the 566 participants, the mean (SD) age was 76.7 (5.2) years, 236 (41.7%) were male, and 523 (92.4%) were white. Forty-seven patients (8.3%) developed major complications and 135 (23.9%) developed delirium. Compared with no complications or delirium as the reference group, major complications only contributed to prolonged LOS only (relative risk [RR], 2.8; 95% CI, 1.9-4.0); by contrast, delirium only significantly increased all adverse outcomes, including prolonged LOS (RR, 1.9; 95% CI, 1.4-2.7), institutional discharge (RR, 1.5; 95% CI, 1.3-1.7), and 30-day readmission (RR, 2.3; 95% CI, 1.4-3.7). The subgroup with complications and delirium had the highest rates of all adverse outcomes, including prolonged LOS (RR, 3.4; 95% CI, 2.3-4.8), institutional discharge (RR, 1.8; 95% CI, 1.4-2.5), and 30-day readmission (RR, 3.0; 95% CI, 1.3-6.8). Delirium exerted the highest attributable risk at the population level (5.8%; 95% CI, 4.7-6.8) compared with all other adverse events (prolonged LOS, institutional discharge, or readmission). Conclusions and Relevance Major postoperative complications and delirium are separately associated with adverse events and demonstrate a combined effect. Delirium occurs more frequently and has a greater effect at the population level than other major complications.

Delirium is often undetected by nursing staff and may go untreated. In Medicare- and Medicaid-certified nursing facilities the presence of delirium may be indicated by certain responses to the Minimum Data Set (MDS) component of the Resident Assessment Instrument called Care Area Triggers (CAT). CATs identify residents who have or are at risk for developing various clinical conditions that by law require further assessment or treatment in the care plan. Thus, if during the resident assessment the Care Area for delirium is triggered, this may be interpreted as recognized delirium. The revision to the MDS in October, 2010 included the Confusion Assessment Method (CAM) for detecting delirium. The CAM, while not a CAT, is considered a gold-standard instrument for delirium recognition. In our study we compare outcomes for residents with recognized delirium at admission (as indicated by the delirium Care Area being triggered) and patients with unrecognized and possibly unaddressed delirium (as indicated by the CAM algorithm, but no delirium CAT) to patients without delirium. In addition, we investigate whether the rate of recognized delirium is associated with facility quality. We find that residents with both recognized and unrecognized delirium had higher rates of 30-day hospital readmission and mortality, lower rates of discharge to home and lower rates of functional improvement. Lower quality nursing facilities were much less likely to recognize delirium than higher quality facilities. These findings suggest that including the CAM as a CAT in the MDS assessment may be essential for delirium care in nursing homes.

Postoperative delirium is a common complication in older people and is associated with increased mortality, morbidity, institutionalization, and caregiver burden. Although delirium is an acute confusional state characterized by global impairments in attention and cognition, it has been implicated in permanent cognitive impairment and dementia. The pathogenesis of delirium and the mechanisms leading to these disabling consequences remain unclear. The present study is the first to address the potential predisposing role of brain morphologic changes toward postoperative delirium in a large prospective cohort of patients undergoing elective surgery using state-of-the-art magnetic resonance imaging (MRI) techniques conducted before admission. We investigated the association of MRI-derived quantitative measures of white-matter damage, global brain, and hippocampal volume with the incidence and severity of delirium. Presurgical white-matter hyperintensities (WMHs), whole brain, and hippocampal volume were measured in 146 consecutively enrolled subjects, ≥70 years old, without dementia who were undergoing elective surgery. These 3 presurgical MRI indices were tested as predictors of incidence and severity of subsequent delirium. Out of 146 subjects, 32 (22%) developed delirium. We found no statistically significant differences in WMH, whole brain, or hippocampal volume between subjects with and without delirium. Both unadjusted and adjusted (age, gender, vascular comorbidity, and general cognitive performance) regression analyses demonstrated no statistically significant association between any of the MRI measures with respect to delirium incidence or severity. In persons without dementia, preexisting cerebral WMHs, general and hippocampal atrophy may not predispose to postoperative delirium or worsen its severity.

Delirium is common among hospitalized older patients and is associated with poor outcomes. Reliable methods to quantify the severity of delirium are scarce, but this study validates a novel scale f...