Advanced practice clinician care and end-of-life outcomes for community- and nursing home-dwelling Medicare beneficiaries with dementia.

INTRODUCTION: Older adults with Alzheimer's disease and related dementias (ADRD) often face burdensome end-of-life care transfers. Advanced practice clinicians (APCs)-which include nurse practitioners and physician assistants-increasingly provide primary care to this population. To fill current gaps in the literature, we measured the association between APC involvement in end-of-life care versus hospice utilization and hospitalization for older adults with ADRD. METHODS: Using Medicare data, we identified nursing home- (N=517,490) and community-dwelling (N=322,461) beneficiaries with ADRD who died between 2016 and 2018. We employed propensity score-weighted regression methods to examine the association between different levels of APC care during their final 9 months of life versus hospice utilization and hospitalization during their final month. RESULTS: For both nursing home- and community-dwelling beneficiaries, higher APC care involvement associated with lower hospitalization rates and higher hospice rates. DISCUSSION: APCs are an important group of providers delivering end-of-life primary care to individuals with ADRD. HIGHLIGHTS: For both nursing home- and community-dwelling Medicare beneficiaries with ADRD, adjusted hospitalization rates were lower and hospice rates were higher for individuals with higher proportions of APC care involvement during their final 9 months of life. Associations between APC care involvement and both adjusted hospitalization rates and adjusted hospice rates persisted when accounting for primary care visit volume.

Early Acceleration of COVID-19 in Areas with Larger Nursing Homes and Certificate of Need Laws.

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.

Comparing Receipt of Prescribed Post-acute Home Health Care Between Medicare Advantage and Traditional Medicare Beneficiaries: an Observational Study.

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.

Positive Beliefs and the Likelihood of Successful Community Discharge From Skilled Nursing Facilities.

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.

Association of Diagnosis Coding With Differences in Risk-Adjusted Short-term Mortality Between Critical Access and Non-Critical Access Hospitals.

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 < .001). In 2011, the CAH vs non-CAH difference in diagnoses coded increased (P < .001 for interaction between CAH and year) to 9.27 vs 12.23 (difference, -2.96 [95% CI, -3.19 to -2.73]; P < .001). Adjusted mortality rates from the model with HCC were 13.52% for CAHs vs 11.44% for non-CAHs (percentage point difference, 2.08 [95% CI, 1.74 to 2.42]; P < .001) in 2007 and increased to 15.97% vs 12.46% (difference, 3.52 [95% CI, 3.09 to 3.94]; P < .001) in 2017 (P < .001 for interaction). Adjusted mortality rates from the model without HCC were not significantly different between CAHs and non-CAHs in all years except 2007 (12.19% vs 11.74%; difference, 0.45 [95% CI, 0.12 to 0.79]; P = .008) and 2010 (12.71% vs 12.28%; difference, 0.42 [95% CI, 0.07 to 0.77]; P = .02). Conclusions and Relevance: For rural Medicare beneficiaries hospitalized from 2007 to 2017, CAHs submitted significantly fewer hospital diagnosis codes than non-CAHs, and short-term mortality rates adjusted for preexisting conditions but not in-hospital comorbidity measures were not significantly different by hospital type in most years. The findings suggest that short-term mortality outcomes at CAHs may not differ from those of non-CAHs after accounting for different coding practices for in-hospital comorbidities.

A Retrospective Study of Administrative Data to Identify High-Need Medicare Beneficiaries at Risk of Dying and Being Hospitalized.

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.

Examining the Impact of Board-Certified Registered Nurses in Skilled Nursing Facilities Using National and State Quality and Clinical Indicators.

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.].

Individualized Music Program is Associated with Improved Outcomes for U.S. Nursing Home Residents with Dementia.

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.

Head circumference as a useful surrogate for intracranial volume in older adults.

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 short-term and long-term relationship between delirium and cognitive trajectory in older surgical patients.

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.

Does Apolipoprotein E Genotype Increase Risk of Postoperative Delirium?

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: ε2, ε4 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 ε2 and ε4 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 ε4 and ε2 carrier status were not associated with postoperative delirium: RR for ε4=1.0, 95% CI: 0.7-1.5 and RR for ε2=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.

The CAM-S: development and validation of a new scoring system for delirium severity in 2 cohorts.

BACKGROUND: Quantifying the severity of delirium is essential to advancing clinical care by improved understanding of delirium effect, prognosis, pathophysiology, and response to treatment. OBJECTIVE: To develop and validate a new delirium severity measure (CAM-S) based on the Confusion Assessment Method. DESIGN: Validation analysis in 2 independent cohorts. SETTING: Three academic medical centers. PATIENTS: The first cohort included 300 patients aged 70 years or older scheduled for major surgery. The second included 919 medical patients aged 70 years or older. MEASUREMENTS: A 4-item short form and a 10-item long form were developed. Association of the maximum CAM-S score during hospitalization with hospital and posthospital outcomes related to delirium was evaluated. RESULTS: Representative results included adjusted mean length of stay, which increased across levels of short-form severity from 6.5 days (95% CI, 6.2 to 6.9 days) to 12.7 days (CI, 11.2 to 14.3 days) (P for trend < 0.001) and across levels of long-form severity from 5.6 days (CI, 5.1 to 6.1 days) to 11.9 days (CI, 10.8 to 12.9 days) (P for trend < 0.001). Representative results for the composite outcome of adjusted relative risk of death or nursing home residence at 90 days increased progressively across levels of short-form severity from 1.0 (referent) to 2.5 (CI, 1.9 to 3.3) (P for trend < 0.001) and across levels of long-form severity from 1.0 (referent) to 2.5 (CI, 1.6 to 3.7) (P for trend < 0.001). LIMITATION: Data on clinical outcomes were measured in an older data set limited to patients aged 70 years or older. CONCLUSION: The CAM-S provides a new delirium severity measure with strong psychometric properties and strong associations with important clinical outcomes. PRIMARY FUNDING SOURCE: National Institute on Aging.

The Language of Delirium: Keywords for Identifying Delirium from Medical Records.

Electronic medical records (EMRs) offer the opportunity to streamline the search for patients with possible delirium. The purpose of the current study was to identify words and phrases commonly noted in charts of patients with delirium. The current study included 67 patients (nested within a cohort study of 300 patients) ages 70 and older undergoing major elective surgery with evidence of confusion in their medical charts. Eight keywords or phrases had positive predictive values of 60% to 100% for delirium. Keywords were charted more often in nursing notes than physician notes. A brief list of keywords may serve as a building block for a methodology to screen for possible delirium from charts, with particular attention to nursing notes, for research and real-time clinical decision making.

Evacuation and Health Care Outcomes Among Assisted Living Residents After Hurricane Irma.

Importance: Evacuation has been found to be associated with adverse outcomes among nursing home residents during hurricanes, but the outcomes for assisted living (AL) residents remain unknown. Objective: To examine the association between evacuation and health care outcomes (ie, emergency department visits, hospitalizations, mortality, and nursing home visits) among Florida AL residents exposed to Hurricane Irma. Design, Setting, and Participants: Retrospective cohort study using 2017 Medicare claims data. Participants were a cohort of Florida AL residents who were aged 65 years or older, enrolled in Medicare fee-for-service, and resided in 9-digit zip codes corresponding to US assisted living communities with 25 or more beds on September 10, 2017, the day of Hurricane Irma's landfall. Propensity score matching was used to match evacuated residents to those that sheltered-in-place based on resident and AL characteristics. Data were analyzed from September 2022 to February 2024. Exposure: Whether the AL community evacuated or sheltered-in-place before Hurricane Irma made landfall. Main Outcomes and Measures: Thirty- and 90-day emergency department visits, hospitalizations, mortality, and nursing home admissions. Results: The study cohort included 25 130 Florida AL residents (mean [SD] age 81 [9] years); 3402 (13.5%) evacuated and 21 728 (86.5%) did not evacuate. The evacuated group had 2223 women (65.3%), and the group that sheltered-in-place had 14 556 women (67.0%). In the evacuated group, 42 residents (1.2%) were Black, 93 (2.7%) were Hispanic, and 3225 (94.8%) were White. In the group that sheltered in place, 490 residents (2.3%) were Black, 707 (3.3%) were Hispanic, and 20 212 (93.0%) were White. After 1:4 propensity score matching, when compared with sheltering-in-place, evacuation was associated with a 16% greater odds of emergency department visits (adjusted odds ratio [AOR], 1.16; 95% CI, 1.01-1.33; P = .04) and 51% greater odds of nursing home visits (AOR, 1.51; 95% CI, 1.14-2.00; P = .01) within 30 days of Hurricane Irma's landfall. Hospitalization and mortality did not vary significantly by evacuation status within 30 or 90 days after the landfall date. Conclusions and Relevance: In this cohort study of Florida AL residents, there was an increased risk of nursing home and emergency department visits within 30 days of Hurricane Irma's landfall among residents from communities that evacuated before the storm when compared with residents from communities that sheltered-in-place. The stress and disruption caused by evacuation may yield poorer immediate health outcomes after a major storm for AL residents. Therefore, the potential benefits and harms of evacuating vs sheltering-in-place must be carefully considered when developing emergency planning and response.

Medicare Advantage Health Risk Assessments Contribute Up To $12 Billion Per Year To Risk-Adjusted Payments.

With Medicare Advantage (MA) enrollment surpassing 50 percent of Medicare beneficiaries, accurate risk-adjusted plan payment rates are essential. However, artificially exaggerated coding intensity, where plans seek to enhance measured health risk through the addition or inflation of diagnoses, may threaten payment rate integrity. One factor that may play a role in escalating coding intensity is health risk assessments (HRAs)-typically in-home reviews of enrollees' health status-that enable plans to capture information about their enrollees. In this study, we evaluated the impact of HRAs on Hierarchical Condition Categories (HCC) risk scores, variation in this impact across contracts, and the aggregate payment impact of HRAs, using 2019 MA encounter data. We found that 44.4 percent of MA beneficiaries had at least one HRA. Among those with at least one HRA, HCC scores increased by 12.8 percent, on average, as a result of HRAs. More than one in five enrollees had at least one additional HRA-captured diagnosis, which raised their HCC score. Potential scenarios restricting the risk-score impact of HRAs correspond with $4.5-$12.3 billion in reduced Medicare spending in 2020. Addressing increased coding intensity due to HRAs will improve the value of Medicare spending and ensure appropriate payment in the MA program.

Nurse Practitioner Care, Scope of Practice, and End-of-Life Outcomes for Nursing Home Residents With Dementia.

Importance: Nursing home residents with Alzheimer disease and related dementias (ADRD) often receive burdensome care at the end of life. Nurse practitioners (NPs) provide an increasing share of primary care in nursing homes, but how NP care is associated with end-of-life outcomes for this population is unknown. Objectives: To examine the association of NP care with end-of-life outcomes for nursing home residents with ADRD and assess whether these associations differ according to state-level NP scope of practice regulations. Design, Setting, and Participants: This cohort study using fee-for-service Medicare claims included 334 618 US nursing home residents with ADRD who died between January 1, 2016, and December 31, 2018. Data were analyzed from April 6, 2015, to December 31, 2018. Exposures: Share of nursing home primary care visits by NPs, classified as minimal (<10% of visits), moderate (10%-50% of visits), and extensive (>50% of visits). State NP scope of practice regulations were classified as full vs restrictive in 2 domains: practice authority (authorization to practice and prescribe independently) and do-not-resuscitate (DNR) authority (authorization to sign DNR orders). Main Outcomes and Measures: Hospitalization within the last 30 days of life and death with hospice. Linear probability models with hospital referral region fixed effects controlling for resident characteristics, visit volume, and geographic factors were used to estimate whether the associations between NP care and outcomes varied across states with different scope of practice regulations. Results: Among 334 618 nursing home decedents (mean [SD] age at death, 86.6 [8.2] years; 69.3% female), 40.5% received minimal NP care, 21.4% received moderate NP care, and 38.0% received extensive NP care. Adjusted hospitalization rates were lower for residents with extensive NP care (31.6% [95% CI, 31.4%-31.9%]) vs minimal NP care (32.3% [95% CI, 32.1%-32.6%]), whereas adjusted hospice rates were higher for residents with extensive (55.6% [95% CI, 55.3%-55.9%]) vs minimal (53.6% [95% CI, 53.3%-53.8%]) NP care. However, there was significant variation by state scope of practice. For example, in full practice authority states, adjusted hospice rates were 2.88 percentage points higher (95% CI, 1.99-3.77; P < .001) for residents with extensive vs minimal NP care, but the difference between these same groups was 1.77 percentage points (95% CI, 1.32-2.23; P < .001) in restricted practice states. Hospitalization rates were 1.76 percentage points lower (95% CI, -2.52 to -1.00; P < .001) for decedents with extensive vs minimal NP care in full practice authority states, but the difference between these same groups in restricted practice states was only 0.43 percentage points (95% CI, -0.84 to -0.01; P < .04). Similar patterns were observed in analyses focused on DNR authority. Conclusions and Relevance: The findings of this cohort study suggest that NPs appear to be important care providers during the end-of-life period for many nursing home residents with ADRD and that regulations governing NP scope of practice may have implications for end-of-life hospitalizations and hospice use in this population.

Risk of Discharge to Lower-Quality Nursing Homes Among Hospitalized Older Adults With Alzheimer Disease and Related Dementias.

Importance: Individuals 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. Objective: To examine whether persons with ADRD are systematically admitted to lower-quality SNFs. Design, Setting, and Participants: Cross-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. Exposures: The 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 Measures: The 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. Results: The 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 < .001). The weaker association between quality and entry for patients with ADRD indicates that they are less likely to be discharged to high-quality SNFs. Conclusions and Relevance: The 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.

The Effect of Race and Dementia Prevalence on a COVID-19 Infection Control Intervention in Massachusetts Nursing Homes.

BACKGROUND: Nursing home (NH) residents, especially those who were Black or with dementia, had the highest infection rates during the COVID-19 pandemic. A 9-week COVID-19 infection control intervention in 360 Massachusetts NHs showed adherence to an infection control checklist with proper personal protective equipment (PPE) use and cohorting was associated with declines in weekly infection rates. NHs were offered weekly webinars, answers to infection control questions, resources to acquire PPE, backup staff, and SARS-CoV-2 testing. We asked whether the effect of this intervention differed by racial and dementia composition of the NHs. METHODS: Data were obtained from 4 state audits using infection control checklists, weekly infection rates, and Minimum Data Set variables on race and dementia to determine whether adherence to checklist competencies was associated with decline in average weekly rates of new COVID-19 infections. RESULTS: Using a mixed-effects hurdle model, adjusted for county COVID-19 prevalence, we found the overall effect of the intervention did not differ by racial composition, but proper cohorting of residents was associated with a greater reduction in infection rates among facilities with ≥20% non-Whites (n = 83). Facilities in the middle (>50%-62%; n = 121) and upper (>62%; n = 115) tertiles of dementia prevalence had the largest reduction in infection rates as checklist scores improved. Cohorting was associated with greater reductions in infection rates among facilities in the middle and upper tertiles of dementia prevalence. CONCLUSIONS: Adherence to proper infection control procedures, particularly cohorting of residents, can reduce COVID-19 infections, even in facilities with high percentages of high-risk residents (non-White and dementia).

Incidence and Outcomes of SARS-CoV-2 in Post-Acute Skilled Nursing Facility Care.

OBJECTIVES: To examine the risk of contracting SARS-CoV-2 during a post-acute skilled nursing facility (SNF) stay and the associated risk of death. DESIGN: 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. SETTING AND PARTICIPANTS: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS AND IMPLICATIONS: 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.

Evaluation of a state-wide effort to improve COVID-19 infection control in Massachusetts nursing homes.

BACKGROUND: During the deadly 2020 SARS-CoV-2 surge in nursing homes (NHs), Massachusetts (MA) initiated a multicomponent infection control intervention to mitigate its spread. METHODS: We aimed to assess the intervention's impact by comparing the weekly risk of PCR-confirmed infections among MA NH residents to those in neighboring New England states, all managed similarly by a single NH provider. We studied 2085 residents in 20 MA NHs and 4493 residents in 45 comparator facilities. The intervention included: (1) A 28-item infection control checklist of best practices, (2) incentive payments to NHs contingent on scoring ≥24 on the checklist, meeting 6 core competencies, testing residents and staff for SARS-COV-2 RNA, uploading data, and enabling virtual visits; (3) on-site and virtual infection control consultations for deficient facilities; (4) 6 weekly webinars; (5) continuous communication with the MA Department of Public Health; and (6) access to personal protective equipment, temporary staff, and SARS-CoV-2 testing. Weekly rates of infection were adjusted for county COVID-19 prevalence. RESULTS: The adjusted risk of infection started higher in MA, but declined more rapidly in its NHs compared to similarly managed facilities in other states. The decline in infection risk during the early intervention period was 53% greater in MA than in Comparator States (state-by-time interaction HR = 0.47; 95% CI 0.37-0.59). By the late intervention period, the risk of infection continued to decline in both groups, and the change from baseline in MA was marginally greater than that in the Comparator States (interaction HR 0.80; 95% CI 0.64-1.00). CONCLUSIONS: The MA NH intervention was associated with a more rapid reduction in the rate of SARS-CoV-2 infections compared to similarly managed NHs in neighboring states. Although several unmeasured factors may have confounded our results, implementation of the MA model may help rapidly reduce high rates of infection and prevent future COVID-19 surges in NHs.