The Five-Star Skilled Nursing Facility Rating System and Care of Disadvantaged Populations

Nursing Homes Underreport Antipsychotic Use but Overreport Diagnoses Qualifying for Appropriate Use

Antipsychotic drug use in U.S. nursing homes remains a priority concern, but less is understood about the characteristics associated with reporting. Using linked Medicare claims and Minimum Data Set (MDS) assessments for long-stay nursing home residents from January 2018 to December 2019, we assessed the consistency of antipsychotic drug reporting and diagnosis of conditions (schizophrenia, Tourette's syndrome, and Huntington's disease) which qualify as appropriate drug use across data sources by calculating reporting rates in facility-reported MDS and Medicare claims. The antipsychotic reporting outcome is conditional on claims reporting while the condition reporting outcomes are conditional on MDS reporting. We found underreporting (87% reporting rate) in facility-reported antipsychotic use relative to Medicare claims. In contrast, we found overreporting of the qualifying conditions with a number of facility-reported diagnoses unsupported by a corresponding claims diagnosis. Only 54.8% of schizophrenia, 46.5% of Tourette's syndrome, and 72.4% of Huntington's disease diagnoses reported in the MDS had a claims diagnosis. There was also variation in reporting odds for antipsychotic drug use by dual-eligibility status and race, with higher odds for dual-eligible and lower odds for Black residents These findings suggest CMS should continue investigating the source of reporting discrepancies in antipsychotic drug use and qualifying diagnoses.

Risk Factors of Skilled Nursing Facility Admissions and the Interrelation With Hospitalization and Amount of Informal Caregiving Received

BACKGROUND

The correlations between skilled nursing facility (SNF) admissions, number of hospitalizations, and informal caregiving hours received after adjusting for physical and cognitive function and sociodemographic covariates are not well understood.

OBJECTIVE

The objective of this study was to better understand risk factors for SNF admissions and the interrelation with hospitalizations and amount of informal caregiving received, this study applied a novel joint modeling analysis to simultaneously explore the correlation and shared information between the 3 outcomes.

RESEARCH DESIGN

This was an observational follow-up study.

SUBJECTS

Data from 4836 older Americans included in the 2011-2015 rounds of the National Health and Aging Trends Study were linked with Centers for Medicare & Medicaid Services.

MEASURES

We jointly modeled SNF admission, hospital admissions, and informal caregiving hours received while accounting for possible risk factors. We addressed missing values by multiple imputation with chained equations.

RESULTS

SNF admission evidenced a strong positive correlation with hospital admission, and SNF admission evidenced a weak positive correlation with the informal caregiving hours received after adjustment for important risk factors. Non-Hispanic White race/ethnicity, living alone, not being Medicaid eligible, Alzheimer disease and related dementias diagnosis, activities of daily living disabilities, and frailty were associated with increased risk of SNF admissions and any/number of hospital admission. Lower educational level was also associated with the latter. Medicaid eligibility was the only factor not associated with any nor numbers of informal caregiving hours received.

CONCLUSIONS

Sociodemographic and health factors were important for predicting SNF admissions. After adjustment for important risk factors, SNF evidenced a strong positive correlation with the number of hospitalizations and a weak positive correlation with the hours of informal caregiving received.

Racial and ethnic differences in the improvement in daily activities during a nursing home stay

BACKGROUND

Improving independence in daily activities is an important outcome of postacute nursing home care. We investigated racial and ethnic differences in the improvement in activities of daily living (ADL) during a skilled nursing facility (SNF) stay among Medicare fee-for-service beneficiaries with a hip fracture, joint replacement, or stroke.

METHODS

This was a retrospective study of Medicare beneficiaries admitted to a SNF between 01/01/2013 and 9/30/2015. The final sample included 428,788 beneficiaries admitted to a SNF within 3 days of hospital discharge for a hip fracture (n = 118,790), joint replacement (n = 245,845), or stroke (n = 64,153). Data from residents' first and last Minimum Data Set were used to calculate ADL total scores for self-performance in dressing, personal hygiene, toileting, locomotion on the unit, transferring, bed mobility, and eating. Residents were dichotomized according to having had any improvement in the ADL total score. Multivariable logistic regression models that included a random intercept for the facility were used to estimate the adjusted odds ratios for any improvement in ADL function among black and Hispanic residents compared to white residents.

RESULTS

A total of 299,931 residents (69.9%) had any improvement in ADL function. Black residents (OR:0.94; 95% CI: 0.91-0.98) but not Hispanic residents (OR: 0.98; 95% CI: 0.94-1.03) had significantly lower odds to have any improvement in ADL function. Analyses stratified by the reason for prior hospitalization indicated that black residents discharged for hip fracture (OR: 0.87; 95% CI: 0.80-0.93) and stroke (OR: 0.87; 95% CI: 0.83-0.93), but not joint replacement (OR: 1.02; 95% CI: 0.97-1.06) had significantly lower odds for any ADL improvement compared to white residents.

CONCLUSIONS

Our findings are evidence for racial disparities in the improvement in ADL function during a SNF stay. Future research should investigate systemic factors that may contribute to disparities in the improvement in ADL function during a SNF stay.

Rehabilitation Intensity and Patient Outcomes in Skilled Nursing Facilities in the United States: A Systematic Review

OBJECTIVE

Exponential increases in rehabilitation intensity in skilled nursing facilities (SNFs) motivated recent changes in Medicare reimbursement policies, which remove financial incentives for providing more minutes of physical therapy, occupational therapy, and speech therapy. Yet, there is concern that SNFs will reduce therapy provision and patients will experience worse outcomes. The purpose of this systematic review was to synthesize current evidence on the relationship between therapy intensity and patient outcomes in SNFs.

METHODS

PubMed, Medline, Scopus, Embase, CINAHL, PEDro, and COCHRANE databases were searched. English-language studies published in the United States between 1998 and February 14, 2020, examining the relationship between therapy intensity and community discharge, hospital readmission, length of stay (LOS), and functional improvement for short-stay SNF patients were considered. Data extraction and risk of bias were performed using the American Academy of Neurology Classification of Evidence scale for causation questions. American Academy of Neurology criteria were used to assess confidence in the evidence for each outcome.

RESULTS

Eight observational studies met inclusion criteria. There was moderate evidence that higher intensity therapy was associated with higher rates of community discharge and shorter LOS. One study provided very low-level evidence of associations between higher intensity therapy and lower hospital readmissions after total hip and knee replacement. There was low-level evidence indicating higher intensity therapy is associated with improvements in function.

CONCLUSIONS

This systematic review concludes with moderate confidence that higher intensity therapy in SNFs leads to higher community discharge rates and shorter LOS. Future research should improve quality of evidence on functional improvement and hospital readmissions.

IMPACT

This systematic review demonstrates that patients in SNFs may benefit from higher intensity therapy. Because new policies no longer incentivize intensive therapy, patient outcomes should be closely monitored to ensure patients in SNFs receive high-quality care.

Association of Mandatory Bundled Payments for Joint Replacement With Postacute Care Outcomes Among Medicare and Medicaid Dual Eligible Patients

IMPORTANCE

The Medicare comprehensive care for joint replacement (CJR) model, a mandatory bundled payment program started in April 2016 for hospitals in randomly selected metropolitan statistical areas (MSAs), may help reduce postacute care (PAC) use and episode costs, but its impact on disparities between Medicaid and non-Medicaid beneficiaries is unknown.

OBJECTIVE

To determine effects of the CJR program on differences (or disparities) in PAC use and outcomes by Medicare-Medicaid dual eligibility status.

DESIGN, SETTING, AND PARTICIPANTS

Observational cohort study of 2013-2017, based on difference-in-differences (DID) analyses on Medicare data for 1,239,452 Medicare-only patients, 57,452 dual eligibles with full Medicaid benefits, and 50,189 dual eligibles with partial Medicaid benefits who underwent hip or knee surgery in hospitals of 75 CJR MSAs and 121 control MSAs.

MAIN OUTCOME MEASURES

Risk-adjusted differences in rates of institutional PAC [skilled nursing facility (SNF), inpatient rehabilitation, or long-term hospital care] use and readmissions; and for the subgroup of patients discharged to SNF, risk-adjusted differences in SNF length of stay, payments, and quality measured by star ratings, rate of successful discharge to community, and rate of transition to long-stay nursing home resident.

RESULTS

The CJR program was associated with reduced institutional PAC use and readmissions for patients in all 3 groups. For example, it was associated with reductions in 90-day readmission rate by 1.8 percentage point [DID estimate=-1.8; 95% confidence interval (CI), -2.6 to -0.9; P<0.001] for Medicare-only patients, by 1.6 percentage points (DID estimate=-1.6; 95% CI, -3.1 to -0.1; P=0.04) for full-benefit dual eligibles, and by 2.0 percentage points (DID estimate=-2.0; 95% CI, -3.6 to -0.4; P=0.01) for partial-benefit dual eligibles. These CJR-associated effects did not differ between dual eligibles (differences in above DID estimates=0.2; 95% CI, -1.4 to 1.7; P=0.81 for full-benefit patients; and -0.3; 95% CI, -1.9 to 1.3; P=0.74 for partial-benefit patients) and Medicare-only patients. Among patients discharged to SNF, the CJR program showed no effect on successful community discharge, transition to long-term care, or their persistent disparities.

CONCLUSIONS

The CJR program did not help reduce persistent disparities in readmissions or SNF-specific outcomes related to Medicare-Medicaid dual eligibility, likely due to its lack of financial incentives for reduced disparities and improved SNF outcomes.

Determinants of Successful Nursing Home Accreditation

OBJECTIVES

This study examined the factors associated with better accreditation outcomes among nursing homes.

METHOD

A total of 538 nursing homes in Taiwan were included in this study. Measures included accreditation scores, external factors (household income, Herfindahl-Hirschman Index, old-age dependency ratio, population density, and number of older adult households), organizational factors (hospital-based status, chain-affiliated status, occupancy rate, the number of registered nurses or nurse aides per bed, and bed size), and internal factors (accountability, deficiencies, person-centered care, nursing skills, quality control, and integrated care).

RESULTS

Bed size, hospital-based status, accountability, deficiencies, person-centered care, nursing skills, quality control, and integrated care were found to predict accreditation.

CONCLUSION

Among all variables in this study, the quality indicators contributed to the most variation, followed by organizational factors. External environmental factors played a minor role in predicting accreditation. A focus on quality of care would benefit not only the residents of a nursing home but also facilitate its accreditation.

Predicting Coronavirus Disease 2019 Infection Risk and Related Risk Drivers in Nursing Homes: A Machine Learning Approach

OBJECTIVE

Inform coronavirus disease 2019 (COVID-19) infection prevention measures by identifying and assessing risk and possible vectors of infection in nursing homes (NHs) using a machine-learning approach.

DESIGN

This retrospective cohort study used a gradient boosting algorithm to evaluate risk of COVID-19 infection (ie, presence of at least 1 confirmed COVID-19 resident) in NHs.

SETTING AND PARTICIPANTS

The model was trained on outcomes from 1146 NHs in Massachusetts, Georgia, and New Jersey, reporting COVID-19 case data on April 20, 2020. Risk indices generated from the model using data from May 4 were prospectively validated against outcomes reported on May 11 from 1021 NHs in California.

METHODS

Model features, pertaining to facility and community characteristics, were obtained from a self-constructed dataset based on multiple public and private sources. The model was assessed via out-of-sample area under the receiver operating characteristic curve (AUC), sensitivity, and specificity in the training (via 10-fold cross-validation) and validation datasets.

RESULTS

The mean AUC, sensitivity, and specificity of the model over 10-fold cross-validation were 0.729 [95% confidence interval (CI) 0.690‒0.767], 0.670 (95% CI 0.477‒0.862), and 0.611 (95% CI 0.412‒0.809), respectively. Prospective out-of-sample validation yielded similar performance measures (AUC 0.721; sensitivity 0.622; specificity 0.713). The strongest predictors of COVID-19 infection were identified as the NH's county's infection rate and the number of separate units in the NH; other predictors included the county's population density, historical Centers of Medicare and Medicaid Services cited health deficiencies, and the NH's resident density (in persons per 1000 square feet). In addition, the NH's historical percentage of non-Hispanic white residents was identified as a protective factor.

CONCLUSIONS AND IMPLICATIONS

A machine-learning model can help quantify and predict NH infection risk. The identified risk factors support the early identification and management of presymptomatic and asymptomatic individuals (eg, staff) entering the NH from the surrounding community and the development of financially sustainable staff testing initiatives in preventing COVID-19 infection.

Patients discharged from higher-quality skilled nursing facilities spend more days at home

OBJECTIVE

To evaluate the association of skilled nursing facility (SNF) quality with days spent alive in nonmedical settings ("home time") after SNF discharge to the community.

DATA SOURCES

Secondary data are from Medicare claims for New York State (NYS) Medicare beneficiaries, the Area Health Resources File, and Nursing Home Compare.

STUDY DESIGN

We estimate home time in the 30- and 90-day periods following SNF discharge. Two-part zero-inflated negative binomial regression models characterize the association of SNF quality with home time.

DATA EXTRACTION METHODS

We use Medicare claims data to identify 25 357 NYS fee-for-service Medicare beneficiaries aged 65 years and older with an SNF admission for postacute care who were subsequently discharged to home in 2014.

PRINCIPAL FINDINGS

Following 30 and 90 days after SNF discharge, the average home time is 28.0 (SD = 6.1) and 81.6 (SD = 20.2) days, respectively. A number of patient- and SNF-level factors are associated with home time. In particular, within 30 and 90 days of discharge, respectively, patients discharged from 2- to 5-star SNFs spend 1.2-1.5 (P < .001) and 3.2-4.3 (P < .001) more days at home than those discharged from 1-star (lowest quality) SNFs.

CONCLUSIONS

Improved understanding of what is contributing to differences in home time could help guide efforts into optimizing post-SNF discharge outcomes.

Home Health Agency Factors Associated With Acute Care Hospitalization and Emergency Department Use

We linked the Medicare Provider Utilization and Payment Data for Home Health and the Home Health Compare data for the year 2016 to identify home healthcare agency (HHA) characteristics associated with acute care hospitalization (ACH) or emergency department (ED) use. The study cohort consisted of 9,800 HHAs. Beta regression was used to examine the association between average age, race/ethnic composition, number of skilled nursing visits, number of therapy visits, percentage of dual eligible patients, HHA ownership, HHA location, Medicare tenure, proportion of patients with a diagnosis of schizophrenia, stroke, diabetes, depression, chronic obstructive pulmonary disease (COPD), heart failure, cancer and Alzheimer disease, and ACH or ED use. After controlling for HHA-level characteristics, variations in HHAs' ACH and unplanned ED visits were found. For-profit HHAs were significantly less likely to have patients with ACH. (Odds ratio = -0.05, p = 0.020), HHAs in the Midwest, South, and West had lower odds of ACH. HHAs that serve more than 50% Black patients had significantly decreased odds (β = -0.16, p < 0.001) of ACH. A 1-unit increase in the proportion of patients with a diagnosis of schizophrenia, COPD, stroke, heart failure, and Alzheimer disease was associated with increased odds of hospitalization. For each unit increase in the number of skilled nursing visits, the odds of ACH increased by 0.02 (p = 0.001). For-profit and nonprofit HHAs had a significant decrease in the odds of unplanned ED visits (p < 0.05). An increase in the proportion of patients with COPD was associated with increased odds of unplanned ED visits (p < 0.001). HHA characteristics are associated with hospitalization and ED use without hospitalization. These characteristics point to variation in quality of care measured by ACH and ED use.

Trends in Postacute Care Use and Outcomes After Hip and Knee Replacements in Dual-Eligible Medicare and Medicaid Beneficiaries, 2013-2016

IMPORTANCE

Several Medicare alternative payment models were implemented in recent years, but their implications for socioeconomic gaps in postacute care (PAC) are unknown.

OBJECTIVES

To determine the longitudinal trends in PAC use and outcomes after hip and knee replacements and in gaps among 3 groups: Medicare-only patients, dual-eligible patients with full Medicaid benefits, and dual-eligible patients with partial Medicaid benefits.

DESIGN, SETTING, AND PARTICIPANTS

A cohort study was conducted of PAC use and outcomes among Medicare fee-for-service patients undergoing hip or knee replacement surgery from January 1, 2013, to December 31, 2016, in approximately 3000 hospitals, using Medicare claims, assessment, hospital, and skilled nursing facility (SNF) files. Statistical analysis was performed from October 1, 2018, to December 17, 2019.

MAIN OUTCOMES AND MEASURES

Risk-adjusted differences among dual-eligible groups in institutional PAC use (SNF, inpatient rehabilitation, or long-term hospital care), readmission rate, and payment for readmissions; for patients discharged to a SNF, risk-adjusted differences in SNF quality measured by star ratings, proportion successfully discharged to the community, proportion transitioned to long-stay residence, and SNF length of stay and payments.

RESULTS

The sample included 1 302 256 patients (837 256 women [64.3%]; mean [SD] age, 75.4 [7.2] years) who underwent joint replacement. The proportion of patients discharged to institutional PAC and the 30-day and 90-day readmission rates decreased for all 3 groups during the period from 2013 to 2016. In 2013, institutional PAC use was 43.7% (95% CI, 43.5%-43.9%) for Medicare-only patients (n = 1 182 555), 70.1% (95% CI, 69.4%-70.8%; n = 60 461) for dual-eligible patients with full benefits, and 70.3% (95% CI, 69.6%-71.0%; n = 59 240) for dual-eligible patients with partial benefits; in 2016, the rates decreased to 32.5% (95% CI, 32.4%-32.7%) for Medicare-only patients, 62.3% (95% CI, 61.5%-63.0%) for dual-eligible patients with full benefits, and 61.5% (95% CI, 60.7%-62.3%) for dual-eligible patients with partial benefits. Among patients discharged to SNFs, outcomes remained flat over time. For example, the proportion of patients successfully discharged to the community remained at 80.5% (95% CI, 80.4%-80.7%) for Medicare-only patients, 59.8% (95% CI, 59.3%-60.3%) for dual-eligible patients with full benefits, and 50.0% (95% CI, 49.4%-50.5%) for dual-eligible patients with partial benefits. Multivariable analyses with adjustment for patient, hospital (or SNF), and geographical covariates suggested maintained or enlarged gaps in all outcomes.

CONCLUSIONS AND RELEVANCE

This study suggests that, during the period from 2013 to 2016, Medicare patients undergoing hip or knee replacement showed reduced institutional PAC use, reduced readmissions, and, among those discharged to SNFs, roughly unchanged outcomes. However, dual-eligible patients, especially those with partial Medicaid benefits, had persistently worse outcomes than Medicare-only patients.

Skilled nursing facility (SNF) utilization and impact of SNF star-quality ratings on outcomes following hepatectomy among Medicare beneficiaries

BACKGROUND

An increasing number of patients require admission to a skilled nursing facility (SNF) following surgery. However, the impact of SNF quality on post-operative outcomes is unknown.

METHODS

The Medicare Standard Analytic Files and Nursing Home Compare Dataset were used to define SNF utilization and determine the influence of SNF star quality ratings on outcomes following hepatectomy.

RESULTS

Among 7256 Medicare beneficiaries, 918 (12.7%) required. Compared to patients discharged home, individuals discharged to SNF were older (median age: 75 [IQR 71-80] vs. 71 [IQR 68-76] years), and had a higher incidence of complications such as pulmonary failure, pneumonia, and acute renal failure during index hospitalization (all p < 0.05). Patients sent to a SNF were more likely to be readmitted within 30-days (30.1% vs. 13.4%, p < 0.001). The incidence of new complications within 30- and 90-days of discharge was similar regardless of star quality ratings (all p > 0.05). On multivariable analysis, Charlson comorbidity score ≥3 was the factor most strongly associated with 30-day readmission (OR 1.32-15.29, p = 0.016).

CONCLUSION

While post-discharge outcomes were similar across SNF quality ratings, roughly one in three Medicare patients discharged to a SNF were readmitted within 30-days.