Home time and state regulations among Medicare beneficiaries in assisted living communities.

BACKGROUND: Home time is an important patient-centric quality metric, which has been largely unexamined among assisted living (AL) residents. Our objectives were to assess variation in home time among AL residents in the year following admission and to examine the associations with state regulations for direct care workers (DCW) training and staffing and for licensed nurse staffing. METHODS: Medicare beneficiaries who entered AL communities in 2018 were identified, and their home time in the year following admission was measured. Home time was calculated as the percentage of time spent at home per day being alive. Resident characteristics and state regulations in DCW staffing, DCW training, and licensed staffing were measured. We used a multivariate linear regression model with AL-level fixed effects to estimate the relationship between person-level characteristics and home time. Linear regression models adjusting for resident characteristics were used to estimate the association between state regulations and residents' home time. RESULTS: The study sample included 59,831 new Medicare beneficiary residents in 12,143 ALs. In the year following AL admission, residents spent 94% (standard deviation = 14.6) of their time at home. Several resident characteristics were associated with lower home time: Medicare-Medicaid dual eligibility, having more chronic conditions, and specific chronic conditions, for example, dementia. In states with greater regulatory specificity for DCW training and staffing, and lower specificity for licensed staffing, residents had longer adjusted home time. CONCLUSION/IMPLICATIONS: Home time varied substantially among AL residents depending on resident characteristics and state-level regulatory specificity. AL residents eligible for Medicare and Medicaid had substantially shorter home time than the Medicare-only residents, largely due to longer time spent in nursing homes. State AL regulatory specificity for DCWs and licensed staff also impacted AL residents' home time. These findings may guide AL operators and state legislators in efforts to improve this important quality of life metric.

Assisted living or nursing home: Who is moving in?

BACKGROUND: Despite the rapid growth of assisted living (AL) communities and the increasing similarity between AL and nursing home (NH) populations, little is known about the characteristics of older adults at the time of AL admission and how these characteristics compare to individuals newly admitted to NH from the community. This study examined the individual, facility, and geographic factors associated with new AL admission. METHODS: This retrospective descriptive study used data from the national Medicare enrollment and claims datasets, the Minimum Data Set, and the Medicare Provider Analysis and Review. The study cohort included 158,124 Medicare beneficiaries newly admitted to ALs and 715,261 newly admitted to NHs during 10/2017-10/2019. Multinomial logistic regression analysis and logistic regression analysis were conducted to examine factors associated with new admissions. RESULTS: Demographic, socioeconomic, and health service use characteristics were associated with new admission to long-term care. Specifically, Medicare fee-for-service beneficiaries, those age 75 years and older, male, having one skilled nursing facility (SNF) stay or any hospital stay in the past 6 months are more likely to be newly admitted to AL, whereas those who are dually eligible, racial/ethnic minorities, and having two or more SNF stays in the past 6 months are more likely to be admitted to an NH. CONCLUSION: There are substantial differences between individuals who are newly admitted from the community to AL versus those to NH.

Hospital Proximity and Emergency Department Use among Assisted Living Residents.

OBJECTIVES: To examine the relationship between AL communities' distance to the nearest hospital and residents' rates of emergency department (ED) use. We hypothesize that when access to an ED is more convenient, as measured by a shorter distance, assisted living (AL)-to-ED transfers are more common, particularly for nonemergent conditions. DESIGN: Retrospective cohort study, where the main exposure of interest was the distance between each AL and the nearest hospital. SETTING AND PARTICIPANTS: 2018-2019 Medicare claims were used to identify fee-for-service Medicare beneficiaries aged ≥55 years residing in AL communities. METHODS: The primary outcome of interest was ED visit rates, classified into those that resulted in an inpatient hospital admission and those that did not (ie, ED treat-and-release visits). ED treat-and-release visits were further classified, based on the NYU ED Algorithm, as (1) nonemergent; (2) emergent, primary care treatable; (3) emergent, not primary care treatable; and (4) injury-related. Linear regression models adjusting for resident characteristics and hospital referral region fixed effects were used to estimate the relationship between distance to the nearest hospital and AL resident ED use rates. RESULTS: Among 540,944 resident-years from 16,514 AL communities, the median distance to the nearest hospital was 2.5 miles. After adjustment, a doubling of distance to the nearest hospital was associated with 43.5 fewer ED treat-and-release visits per 1000 resident years (95% CI -53.1, -33.7) and no significant difference in the rate of ED visits resulting in an inpatient admission. Among ED treat-and-release visits, a doubling of distance was associated with a 3.0% (95% CI -4.1, -1.9) decline in visits classified as nonemergent, and a 1.6% (95% CI -2.4%, -0.8%) decline in visits classified as emergent, not primary care treatable. CONCLUSIONS AND IMPLICATIONS: Distance to the nearest hospital is an important predictor of ED use rates among AL residents, particularly for visits that are potentially avoidable. AL facilities may rely on nearby EDs to provide nonemergent primary care to residents, potentially placing residents at risk of iatrogenic events and generating wasteful Medicare spending.

Online Customer Reviews of Assisted Living Communities: Association with Community, County, and State Factors.

OBJECTIVES: Online reviews provided by users of assisted living communities may offer a unique source of heretofore unexamined data. We explored online reviews as a possible source of information about these communities and examined the association between the reviews and aspects of state regulations, while controlling for assisted living, county, and state market-level factors. DESIGN: Cross-sectional, observational study. SETTING AND PARTICIPANTS: Sample included 149,265 reviews for 8828 communities. METHODS: Primary (eg, state regulations) and secondary (eg, Medicare Beneficiary Summary Files) data were used. County-level factors were derived from the Area Health Resource Files, and state-level factors from the integrated Public Use Microdata series. Information on state regulations was obtained from a previously compiled regulatory dataset. Average assisted living rating score, calculated as the mean of posted online reviews, was the outcome of interest, with a higher score indicating a more positive review. We used word cloud to visualize how often words appeared in 1-star and 5-star reviews. Logistic regression models were used to determine the association between online rating and a set of community, county, and state variables. Models were weighted by the number of reviews per assisted living bed. RESULTS: Overall, 76% of communities had online reviews. We found lower odds of positive reviews in communities with greater proportions of Medicare/Medicaid residents [odds ratio (OR) = 0.986; P < .001], whereas communities located in micropolitan areas (compared with urban), and those in states with more direct care worker hours (per week per bed) had greater odds of high rating (OR = 1.722; P < .001 and OR = 1.018, P < .05, respectively). CONCLUSIONS AND IMPLICATIONS: Online reviews are increasingly common, including in long-term care. These reviews are a promising source of information about important aspects of satisfaction, particularly in care settings that lack a public reporting infrastructure. We found several significant associations between online ratings and community-level factors, suggesting these reviews may be a valuable source of information to consumers and policy makers.

Using Medicare Enrollment Data to Identify Beneficiaries in Assisted Living.

OBJECTIVES: Develop an approach for identifying Medicare beneficiaries residing in US assisted living (AL) communities in calendar year 2018. DESIGN: We used the following data sources: national directory of licensed ALs, file of US addresses and their associated 9-digit ZIP codes (ZIP+4), Medicare Enrollment Database (EDB), Master Beneficiary Summary File (MBSF), and the Minimum Data Set (MDS). SETTING AND PARTICIPANTS: A total of 412,723 Medicare beneficiaries who lived in ZIP+4 codes associated with an AL were identified as residents. Approximately 28% of the 16,682 ALs in which these beneficiaries resided were smaller communities (<25 beds). METHODS: For each AL, we identified ZIP+4 codes associated with its address. Using this ZIP+4 file, we searched through the Medicare EDB to identify beneficiaries who lived in each ZIP+4 code. The MBSF and MDS were used to exclude beneficiaries who died before 2018 and those whose AL and nursing home stays overlapped. We identified 3 cohorts of Medicare beneficiaries: (1) residents of a specific AL (one AL address per ZIP+4), (2) most likely AL residents, and (3) not likely AL residents. Comparisons across these cohorts were used to examine construct validity of our approach. Additional comparisons were made to AL residents based on the National Survey of Long-Term Care Providers (NSLTCP) and to fee-for-service (FFS) Medicare community-dwelling and long-stay nursing home residents. RESULTS: The cohorts of beneficiaries identified as AL residents exhibited good construct validity. AL residents also showed similarity in demographic characteristics to the 2018 sample from the NSLTCP, and as expected were different from FFS community and nursing home beneficiaries. CONCLUSION AND IMPLICATIONS: We developed a methodology for identifying Medicare beneficiaries who reside in ALs. As this residential setting continues to grow, future studies will need effective approaches for identifying AL residents in order to evaluate the quality of care they receive.

Are online reviews of assisted living communities associated with patient-centered outcomes?

BACKGROUND: Existing literature on online reviews of healthcare providers generally portrays online reviews as a useful way to disseminate information on quality. However, it remains unknown whether online reviews for assisted living (AL) communities reflect AL care quality. This study examined the association between AL online review ratings and residents' home time, a patient-centered outcome. METHODS: Medicare beneficiaries who entered AL communities in 2018 were identified. The main outcome is resident home time in the year following AL admission, calculated as the percentage of time spent at home (i.e., not in institutional care setting) per day being alive. Additional outcomes are the percentage of time spent in emergency room, inpatient hospital, nursing home, and inpatient hospice. AL online Google reviews for 2013-2017 were linked to 2018-2019 Medicare data. AL average rating score (ranging 1-5) and rating status (no-rating, low-rating, and high-rating) were generated using Google reviews. Linear regression models and propensity score weighting were used to examine the association between online reviews and outcomes. The study sample included 59,831 residents in 12,143 ALs. RESULTS: Residents were predominately older (average 81.2 years), non-Hispanic White (90.4%), and female (62.9%), with 17% being dually eligible for Medicare and Medicaid. From 2013 to 2017, ALs received an average rating of 4.1 on Google, with a standard deviation of 1.1. Each one-unit increase in the AL's average online rating was associated with an increase in residents' risk-adjusted home time by 0.33 percentage points (p < 0.001). Compared with residents in ALs without ratings, residents in high-rated ALs (average rating ≥4.4) had a 0.64 pp (p < 0.001) increase in home time. CONCLUSIONS: Higher online rating scores were positively associated with residents' home time, while the absence of ratings was associated with reduced home time. Our results suggest that online reviews may be a quality signal with respect to home time.

Patient Safety Culture in Assisted Living: Staff Perceptions and Association with State Regulations.

OBJECTIVES: To examine perceptions of patient safety culture (PSC) among assisted living (AL) administrators and direct care workers (DCWs), and their associations with state regulations. DESIGN: We conducted a survey using the PSC instrument developed by the Agency for Healthcare Research & Quality. Secondary data on ALs and residents were derived from the Medicare Master Beneficiary Summary Files. Other data sources were the Area Health Resource Files, a previously compiled national AL directory, and the US census. Data on state AL regulations were available from a prior study. SETTING AND PARTICIPANTS: Participants included administrators and DCWs working in assisted living communities serving Medicare beneficiary residents. METHODS: We employed exploratory factor analysis, examined Pearson correlations, and obtained standardized Cronbach alphas to test the PSC instrument. We estimated linear regression models with the dependent variable being the proportion of positive PSC assessments, for each PSC domain, with SEs clustered at the AL level. RESULTS: Surveys were completed by 714 administrators and DCWs in 257 ALs. The PSC instrument tested reliable and valid for AL communities. Administrators' and DCWs' perceptions of PSC differed significantly across almost all domains. A 1-unit increase in state regulatory specificity for DCW staffing was associated with a 4.13-percentage point (P < .05) increase in the PSC staffing domain. Associations with regulatory specificity in staff training were also found for other PSC domains. CONCLUSIONS AND IMPLICATIONS: PSC is an important metric for assessing organizational performance. DCWs have significantly worse perceptions of PSC than do administrators, suggesting it is crucial to understand the source of these differing perceptions. Because state regulations relate to PSC, achieving a comprehensive focus on patient safety in AL may require regulatory action, particularly increasing specificity with regard to staffing and training.

State social distancing restrictions and nursing home outcomes.

The COVID-19 poses a disproportionate threat to nursing home residents. Although recent studies suggested the effectiveness of state social distancing measures in the United States on curbing COVID-19 morbidity and mortality among the general population, there is a lack of evidence as to how these state orders may have affected nursing home patients or what potential negative health consequences they may have had. In this longitudinal study, we evaluated changes in state strength of social distancing restrictions from June to August of 2020, and their associations with the weekly numbers of new COVID-19 cases, new COVID-19 deaths, and new non-COVID-19 deaths in nursing homes of the US. We found that stronger state social distancing measures were associated with improved COVID-19 outcomes (case and death rates), reduced across-facility disparities in COVID-19 outcomes, and somewhat increased non-COVID-19 death rate, although the estimates for non-COVID-19 deaths were sensitive to alternative model specifications.

Post-acute care transitions and outcomes among medicare beneficiaries in assisted living communities.

BACKGROUND: Despite the rapid growth of assisted living (AL) and frequent hospitalizations among AL residents, little is known about their patterns of post-acute care transitions and outcomes. This study examined the post-acute care transitions among AL residents and their association with outcomes in the first 30 and 60 days after hospital discharge. METHODS: This study used data from 2018 national Medicare enrollment and claims datasets, the Minimum Data Set (MDS), and Medicare Provider Analysis and Review (MedPAR) of 104,497 unique Medicare beneficiaries residing in ALs in the U.S. Post-acute care referrals, based on hospital discharge status, to skilled nursing facilities (SNF), home with home health care (HHC), home without HHC, and other settings. Outcomes included 30-day and 60-day hospital readmissions, emergency department (ED) visits, long-stay care nursing home placement, and mortality. Multinomial logistic regression analysis and logistic regression analysis were conducted. RESULTS: The most common post-acute care referral was to SNF (40%), followed by home without HHC (28%), home with HHC (17%), and others (15%). Compared to discharge home without HHC, discharge to SNF was associated with a lower likelihood of ED visits (Odds Ratio = 0.597, p < 0.01) and hospital readmissions (OR = 0.856, p < 0.001), and higher likelihood of long-stay nursing home placement (OR = 11.224, p < 0.01) and mortality (OR = 2.025, p < 0.01). Discharge home with HHC was associated with a higher likelihood of hospital readmissions (OR = 1.148, p < 0.01) and a lower likelihood of long-stay nursing home placement (OR = 0.737, p < 0.05) than discharge home without HHC. The results were similar within the first 30 days as well as 60 days after hospital discharge. CONCLUSIONS: AL residents who are discharged to different post-acute care settings tend to differ in 30-day and 60-day outcomes. At hospital discharge, clinicians and discharge planners should be provided information about the exact type and availability of services at AL to make the most appropriate discharge referrals for AL residents.

Health Care Use and Outcomes in Assisted Living Communities: Race, Ethnicity, and Dual Eligibility.

Assisted Living (AL) has become an important residential long-term care option in the United States, yet very little is known about the nature and quality of care received in this setting by racial/ethnic minorities or residents dually eligible for Medicare and Medicaid. Using calendar year 2018 Medicare data, we identified 255,564 fee-for-service Medicare beneficiaries age 55+ who resided in 24,108 ALs across the United States. We fit several logistic regression models with individual-level covariates and AL-level fixed effects, to examine the association between race/ethnicity and dual status with inpatient hospital admission, 30-day readmission, emergency room use, and nursing home placement. Significant variations in these measures were found both within and across ALs for racial/ethnic minority and dual residents. Our results suggest that disparities in outcomes are most significant by dual eligibility status rather than by race/ethnicity alone. These findings provide important implications for providers, policy makers, and researchers.

Trends in racial and ethnic disparities in coronavirus disease 2019 (COVID-19) outcomes among nursing home residents.

OBJECTIVES: To evaluate trends in racial and ethnic disparities in weekly cumulative rates of coronavirus disease 2019 (COVID-19) cases and deaths in Connecticut nursing homes. DESIGN: Longitudinal analysis of nursing-home COVID-19 reports and other databases. Multivariable negative binomial models were used to estimate disparities in COVID-19 incidence and fatality rates across nursing-home groups with varying proportions of racial and ethnic minority residents, defined as low-, medium-, medium-high-, and high-proportion groups. Trends in such disparities were estimated from week 1 (April 13) to week 10 (ending on June 19, 2020). SETTING: The study was conducted across 211 nursing homes. RESULTS: The average number of cases ranged from 6.1 cases per facility for the low-proportion group to 11.7 cases per facility for the high-proportion group in week 1, and from 26.7 to 58.5 cases per facility in week 10. Compared to the low-proportion group, the adjusted incidence rate ratios (IRRs) for the high-proportion group were 1.18 (95% confidence interval [CI], 0.77-1.80; P > .10) in week 1 and 1.54 (95% CI, 1.05-2.25; P < .05) in week 10, showing a 30% (95% CI, 5%-62%) relative increase (P < .05). The average weekly number of COVID-19-related deaths ranged from 0 to 0.3 deaths per facility for different groups in week 1, and from 7.6 to 13.3 deaths per facility in week 10. Adjusted disparities in fatalities similarly increased over time. CONCLUSIONS: Connecticut nursing homes caring for predominately racial and ethnic minority residents tended to have higher COVID-19 incidence and fatality rates. These across-facility disparities increased during the early periods of the pandemic.

Breastfeeding Duration Is Associated With Domain-Specific Improvements in Cognitive Performance in 9-10-Year-Old Children.

Significant immunological, physical and neurological benefits of breastfeeding in infancy are well-established, but to what extent these gains persist into later childhood remain uncertain. This study examines the association between breastfeeding duration and subsequent domain-specific cognitive performance in a diverse sample of 9-10-year-olds enrolled in the Adolescent Brain Cognitive Development (ABCD) Study®. The analyses included 9,116 children that attended baseline with their biological mother and had complete neurocognitive and breastfeeding data. Principal component analysis was conducted on data from an extensive battery of neurocognitive tests using varimax-rotation to extract a three-component model encompassing General Ability, Executive Functioning, and Memory. Propensity score weighting using generalized boosted modeling was applied to balance the distribution of observed covariates for children breastfed for 0, 1-6, 7-12, and more than 12 months. Propensity score-adjusted linear regression models revealed significant association between breastfeeding duration and performance on neurocognitive tests representing General Ability, but no evidence of a strong association with Executive Function or Memory. Benefits on General Ability ranged from a 0.109 (1-6 months) to 0.301 (>12 months) standardized beta coefficient difference compared to those not breastfed. Results indicate clear cognitive benefits of breastfeeding but that these do not generalize to all measured domains, with implications for public health policy as it pertains to nutrition during infancy.

Association of state social distancing restrictions with nursing home COVID-19 and non-COVID-19 outcomes.

The COVID-19 poses a disproportionate threat to nursing home residents. Although recent studies suggested the effectiveness of state social distancing measures in the United States on curbing COVID-19 morbidity and mortality among the general population, there is lack of evidence as to how these state orders may have affected nursing home patients or what potential negative health consequences they may have had. In this longitudinal study, we evaluated changes in state strength of social distancing restrictions from June to August of 2020, and their associations with the weekly numbers of new COVID-19 cases, new COVID-19 deaths, and new non-COVID-19 deaths in nursing homes of the US. We found that stronger state social distancing measures were associated with improved COVID-19 outcomes (case and death rates), reduced across-facility disparities in COVID-19 outcomes, but more deaths due to non-COVID-19 reasons among nursing home residents.

Variability and Potential Determinants of Assisted Living State Regulatory Stringency.

OBJECTIVES: We examined state variations in assisted living (AL) regulatory policies for admission/retention, staffing/training, medication management, and dementia care. Factors associated with domain-specific and overall regulatory stringency were identified. DESIGN: This observational study used the following data sources: 2019 review of state AL regulations; 2019 national inventory of AL communities; 2014 Government Accountability Office survey of Medicaid agencies; 2016 Genworth Cost of Care Survey; and the 2018 Nursing Home Compare. SETTING AND PARTICIPANTS: Final analyses included 46 states (excluding Alaska, Kentucky, Louisiana, and West Virginia) and the District of Columbia. METHODS: For each regulatory domain of interest (dependent variables), we generated policy scores by conducting content analysis of state regulatory databases. States were assigned points for presence of each policy (eg, staff training). The number of points assigned to each policy was divided by the total possible number of policy-related points, producing state stringency scores (between 0% and 100%) for each policy domain. Independent variables included market-level characteristics (eg, AL monthly cost), state generosity (eg, proportion of Medicaid aged using AL services), quality of care (eg, percent of nursing homes with few deficiencies), and others. Descriptive analyses and multivariable logistic regression models with stepwise selection were used. RESULTS: We found significant variations in all policy domains across states. No single policy appeared to clearly dominate a state's rank. AL bed supply, monthly AL cost, proportion of Medicaid beneficiaries receiving AL services, and other variables were significantly associated with regulatory stringency of the domains examined. CONCLUSIONS AND IMPLICATIONS: There were substantial variations in regulatory stringency across states. Several market and state generosity measures were identified as potential determinants of stringency, but the direction of these associations appeared to depend on what was being regulated. Future studies should examine how regulatory stringency affects access to and care quality in ALs.

COVID-19 Pandemic in Assisted Living Communities: Results from Seven States.

OBJECTIVE: To describe variations in COVID-19 confirmed cases and deaths among assisted living (AL) residents and examine their associations with key AL characteristics. DESIGN: Observational study employing data on confirmed COVID-19 cases and deaths in ALs from seven states, through May 29, 2020. SETTING: Information on COVID-19 cases/deaths in ALs was obtained from state government websites. A national inventory of ALs was used to identify communities with and without COVID-19 cases/deaths. Medicare Beneficiary Summary File identifying AL residents was employed to develop AL characteristics. County-level COVID-19 laboratory-confirmed cases/deaths were obtained from publicly available data. PARTICIPANTS: We found 4,865 ALs (2,647 COVID-19 cases and 777 deaths) in the seven states. After excluding missing data, the sample consisted of 3,994 ALs (82.1%) with 2,542 cases (96.0%) and 675 deaths (86.9%). MAIN OUTCOMES AND MEASURES: Outcomes were AL-level counts of cases and deaths. Covariates were AL characteristics and county-level confirmed COVID-19 cases/deaths. Multivariable two-part models determined the associations of independent variables with the likelihood of at least one case and death in the AL, and with the count of cases (deaths). RESULTS: State case fatality ranged from 3.32% in North Carolina to 9.26% in Connecticut, but for ALs in these states it was 12.89% and 31.59%, respectively. Among ALs with at least one case, midsize communities had fewer cases (incidence rate ratio (IRR) = 0.829; P = .004) than small ALs. ALs with higher proportions of racial/ethnic minorities had more COVID-19 cases (IRR = 1.08; P < .001), as did communities with higher proportions of residents with dementia, chronic obstructive pulmonary disease, and obesity. CONCLUSIONS AND RELEVANCE: ALs with a higher proportion of minorities had more COVID-19 cases. Many of the previously identified individual risk factors are also present in this vulnerable population. The impact of COVID-19 on ALs is as critical as that on nursing homes, and is worth equal attention from policy makers.