Preferences for Postacute Care at Home vs Facilities.

Importance: Two in 5 US hospital stays result in rehabilitative postacute care, typically through skilled nursing facilities (SNFs) or home health agencies (HHAs). However, a lack of clear guidelines and understanding of patient and caregiver preferences make it challenging to promote high-value patient-centered care. Objective: To assess preferences and willingness to pay for facility-based vs home-based postacute care among patients and caregivers, considering demographic variations. Design, Setting, and Participants: In September 2022, a nationally representative survey was conducted with participants 45 years or older. Using a discrete choice experiment, participants acting as patients or caregivers chose between facility-based and home-based postacute care that best met their preferences, needs, and family conditions. Survey weights were applied to generate nationally representative estimates. Main Outcomes and Measures: Preferences and willingness to pay for various attributes of postacute care settings were assessed, examining variation based on demographic factors, socioeconomic status, job security, and previous care experiences. Results: A total of 2077 adults were invited to participate in the survey; 1555 (74.9%) completed the survey. In the weighted sample, 52.9% of participants were women, 6.5% were Asian or Pacific Islander, 1.7% were American Indian or Alaska Native, 11.2% were Black or African American, 78.4% were White; the mean (SD) age was 62.6 (9.6) years; and there was a survey completion rate of 74.9%. Patients and caregivers showed a substantial willingness to pay for home-based and high-quality care. Patients and caregivers were willing to pay an additional $58.08 per day (95% CI, 45.32-70.83) and $45.54 per day (95% CI, 31.09-59.99) for HHA care compared with a shared SNF room, respectively. However, increased demands on caregiver time within an HHA scenario and socioeconomic challenges, such as insecure employment, shifted caregivers' preferences toward facility-based care. There was a strong aversion to below average quality. To avoid below average SNF care, patients and caregivers were willing to pay $75.21 per day (95% CI, 61.68-88.75) and $79.10 per day (95% CI, 63.29-94.91) compared with average-quality care, respectively. Additionally, prior awareness and experience with postacute care was associated with willingness to pay for home-based care. No differences in preferences among patients and caregivers based on race, educational background, urban or rural residence, general health status, or housing type were observed. Conclusions and Relevance: The findings of this survey study underscore a prevailing preference for home-based postacute care, aligning with current policy trends. However, attention is warranted for disadvantaged groups who are potentially overlooked during the shift toward home-based care, particularly those facing caregiver constraints and socioeconomic hardships. Ensuring equitable support and improved quality measure tools are crucial for promoting patient-centric postacute care, with emphasis on addressing the needs of marginalized groups.

Serious Mental Illness in Assisted Living Communities: Association with Nursing Home Placement.

OBJECTIVES: Assess prevalence of serious mental illness (SMI) alone, and co-occurring with Alzheimer disease and related dementias (ADRD), among Medicare beneficiaries in assisted living (AL). Examine the association between permanent nursing home (NH) placement and SMI, among residents with and without ADRD. DESIGN: 2018-2019 retrospective cohort of Medicare beneficiaries in AL. Residents were followed for up to 2 years to track their NH placement. We used data from the Medicare Enrollment Database, the Medicare Beneficiary Summary File, Minimum Data Set, and a national directory of state-licensed AL communities. AL residents were identified using a validated, previously reported 9-digit zip code methodology. SETTING AND PARTICIPANTS: A cross-sectional study sample included 289,350 Medicare beneficiaries in 17,265 AL communities across 50 states and in the District of Columbia. METHODS: The outcome was permanent NH placement: a continuous stay for more than 90 days. Key independent variable was presence of SMI-schizophrenia, bipolar disorder, and major depression. Other covariates included sociodemographic factors and presence of other chronic conditions, including ADRD. A linear probability model with robust SEs, and AL-level random effects, was used to test the association between SMI diagnoses, ADRD, and their interactions on NH placement. RESULTS: More than half (55.65%) of AL residents had a diagnosis of SMI, among them 93.2% had major depression, 28.5% schizophrenia, and 22.2% bipolar disorder. Individuals with schizophrenia and bipolar disorder had a significantly lower probability of NH placement, a 32% and a 15% decrease relative to the cohort mean, respectively. Placement risk was significantly greater for residents with ADRD compared to those without, increasing for those who also had schizophrenia or bipolar disorder, 12.9% and 1.5% relative to the sample mean, respectively. CONCLUSION AND IMPLICATIONS: Presence of schizophrenia and bipolar disorder, in conjunction with ADRD, significantly increases the risk of long-term NH placement, suggesting that ALs may not be well prepared to care for these residents.

Hospice providers serving assisted living residents: Association of higher volume with lower quality.

BACKGROUND: Assisted living (AL) community caregivers are known to report lower quality of hospice care. However, little is known about hospice providers serving AL residents and factors that may contribute to, and explain, differences in quality. We examined the association between hospice providers' AL patient-day volume and their quality ratings based on Hospice Item Set (HIS) and Consumer Assessment of Healthcare Providers and Systems (CAHPS) Hospice Surveys. METHODS: This cross-sectional study employed information from the Medicare Compare website and Medicare claims data. Medicare-eligible AL residents were identified using previously validated methods and merged with hospice claims. Linear probability models adjusting for county fixed effects were used to examine the association between hospice provider AL volume, measured as the share of annual hospice patient days from AL residents, and quality measures obtained from HIS and CAHPS. Models controlled for hospice providers' profit status and daily patient census. RESULTS: Higher AL-volume hospice providers were 7 percentage points more likely to have caregivers reporting lower median scores on domains of pain assessment, dyspnea treatment, and emotional support. Their caregivers also reported lower scores in team communications and training family to provide care. Higher AL-volume hospice providers also were 5 percentage points less likely to get higher aggregated scores from all CAHPS domains and 7 percentage points less likely to have higher HIS composite scores. CONCLUSIONS: Hospice providers serving higher volumes of AL patient days had lower quality scores. In order to identify targeted opportunities for quality improvement, research is needed to understand why lower quality providers are concentrated in the AL market.

Clinical Risk and Outpatient Therapy Utilization for COVID-19 in the Medicare Population.

Importance: Multiple therapies are available for outpatient treatment of COVID-19 that are highly effective at preventing hospitalization and mortality. Although racial and socioeconomic disparities in use of these therapies have been documented, limited evidence exists on what factors explain differences in use and the potential public health relevance of these differences. Objective: To assess COVID-19 outpatient treatment utilization in the Medicare population and simulate the potential outcome of allocating treatment according to patient risk for severe COVID-19. Design, Setting, and Participants: This cross-sectional study included patients enrolled in Medicare in 2022 across the US, identified with 100% Medicare fee-for-service claims. Main Outcomes and Measures: The primary outcome was any COVID-19 outpatient therapy utilization. Secondary outcomes included COVID-19 testing, ambulatory visits, and hospitalization. Differences in outcomes were estimated based on patient demographics, treatment contraindications, and a composite risk score for mortality after COVID-19 based on demographics and comorbidities. A simulation of reallocating COVID-19 treatment, particularly with nirmatrelvir, to those at high risk of severe disease was performed, and the potential COVID-19 hospitalizations and mortality outcomes were assessed. Results: In 2022, 6.0% of 20 026 910 beneficiaries received outpatient COVID-19 treatment, 40.5% of which had no associated COVID-19 diagnosis within 10 days. Patients with higher risk for severe disease received less outpatient treatment, such as 6.4% of those aged 65 to 69 years compared with 4.9% of those 90 years and older (adjusted odds ratio [aOR], 0.64 [95% CI, 0.62-0.65]) and 6.4% of White patients compared with 3.0% of Black patients (aOR, 0.56 [95% CI, 0.54-0.58]). In the highest COVID-19 severity risk quintile, 2.6% were hospitalized for COVID-19 and 4.9% received outpatient treatment, compared with 0.2% and 7.5% in the lowest quintile. These patterns were similar among patients with a documented COVID-19 diagnosis, those with no claims for vaccination, and patients who are insured with Medicare Advantage. Differences were not explained by variable COVID-19 testing, ambulatory visits, or treatment contraindications. Reallocation of 2022 outpatient COVID-19 treatment, particularly with nirmatrelvir, based on risk for severe COVID-19 would have averted 16 503 COVID-19 deaths (16.3%) in the sample. Conclusion: In this cross-sectional study, outpatient COVID-19 treatment was disproportionately accessed by beneficiaries at lower risk for severe infection, undermining its potential public health benefit. Undertreatment was not driven by lack of clinical access or treatment contraindications.

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.

Health Care Staff Turnover and Quality of Care at Nursing Homes.

Importance: Turnover in health care staff may disrupt patient care and create operational and organizational challenges, and nursing home staff turnover rates are particularly high. Empirical evidence on the association between turnover and quality of care is limited and has typically relied on low-quality measures of turnover, small and selected samples of facilities, and comparisons across facilities that are highly susceptible to residual confounding. Objective: To quantify the association between nursing home staff turnover and quality of care using within-facility variation over time in reliable turnover measures available for virtually all US nursing homes. Design, Setting, and Participants: In this cross-sectional study, data from the Centers for Medicare & Medicaid Services on health inspection citations and quality measures at US nursing homes were combined with turnover measures constructed from daily staffing payroll data for quarter 2 of 2017 (April 1 to June 30) to quarter 4 of 2019 (October 1 to December 31), covering 1.06 billion shifts for 7.48 million employment relationships at 15 869 facilities. A 2-way fixed-effects design was used to estimate the association between staff turnover (direct care nursing staff and administrators) and quality-of-care outcomes based on how the same facility performed differently in times of low and high turnover. Data analysis was performed from September 2022 to August 2023. Exposures: Facility turnover, defined as the share of hours worked in a period by staff hired within the last 90 days. Main Outcomes and Measures: Number, type, scope, and severity of health inspection citations, overall health inspection scores, and Nursing Home Compare quality measures. Results: The study sample included 1.45 million facility-weeks between April 1, 2017, and December 31, 2019, corresponding to 13 826 unique facilities. During an average facility-week, 15.0% of nursing staff and 11.6% of administrators were new hires due to recent turnover. After both administrator turnover and the overall staffing level were controlled for, an additional 10 percentage points in nursing staff turnover in the 2 weeks before a health inspection was associated with an additional 0.241 (95% CI, 0.084-0.399) citations in that inspection, compared with a mean of 5.98 citations. An additional 10 percentage points in nursing staff turnover was associated with a mean decrease of 0.035 (95% CI, 0.023-0.047) SDs in assessment-based quality measures and 0.020 (95% CI, 0.001-0.038) SDs in claims-based quality measures, with the strongest associations found for measures related to patient functioning. Conclusions and Relevance: Within-facility variation in staff turnover was associated with decreased quality of care. These findings suggest that efforts to monitor and reduce staff turnover may be able to improve patient outcomes.

Association of Receipt of Paycheck Protection Program Loans With Staffing Patterns Among US Nursing Homes.

Importance: Staffing shortages in nursing homes (NHs) threaten the quality of resident care, and the COVID-19 pandemic magnified critical staffing shortages within NHs. During the pandemic, the US Congress enacted the Paycheck Protection Program (PPP), a forgivable loan program that required eligible recipients to appropriate 60% to 75% of the loan toward staffing to qualify for loan forgiveness. Objective: To evaluate characteristics of PPP loan recipient NHs vs nonloan recipient NHs and whether there were changes in staffing hours at NHs that received a loan compared with those that did not. Design, Setting, and Participants: This economic evaluation used national data on US nursing homes that were aggregated from the Small Business Administration, Nursing Home Compare, LTCFocus, the Centers for Medicare & Medicaid Services Payroll Based Journal, the Minimum Data Set, the Area Deprivation Index, the Healthcare Cost Report Information System, and the US Department of Agriculture Rural-Urban Continuum Codes from January 1 to December 23, 2020. Exposure: Paycheck Protection Program loan receipt status. Main Outcome and Measures: Staffing variables included registered nurse, licensed practical nurse (LPN), and certified nursing assistant (CNA) total hours per week. Staffing hours were examined on a weekly basis before and after loan receipt during the study period. An event-study approach was used to estimate the staffing total weekly hours at NHs that received PPP loans compared with NHs that did not receive a PPP loan. Results: Among 6008 US NHs, 1807 (30.1%) received a PPP loan and 4201 (69.9%) did not. The median loan amount was $664 349 (IQR, $407 000-$1 058 300). Loan recipients were less likely to be part of a chain (733 [40.6%] vs 2592 [61.7%]) and more likely to be for profit (1342 [74.3%] vs 2877 [68.5%]), be located in nonurban settings (159 [8.8%] vs 183 [4.4%]), have a greater proportion of Medicaid-funded residents (mean [SD], 60.92% [21.58%] vs 56.78% [25.57%]), and have lower staffing quality ratings (mean [SD], 2.88 [1.20] vs 3.03 [1.22]) and overall quality star ratings (mean [SD], 3.08 [1.44] vs 3.22 [1.44]) (P < .001 for all). Twelve weeks after PPP loan receipt, NHs that received a PPP loan experienced a mean difference of 26.19 more CNA hours per week (95% CI, 14.50-37.87 hours per week) and a mean difference of 6.67 more LPN hours per week (95% CI, 1.21-12.12 hours per week) compared with nursing homes that did not receive a PPP loan. No associations were found between PPP loan receipt and weekly RN staffing hours (12 weeks: mean difference, 1.99 hours per week; 95% CI, -2.38 to 6.36 hours per week). Conclusions and Relevance: In this economic evaluation, a forgivable loan program that required funding to be appropriated toward staffing was associated with a significant increase in CNA and LPN staffing hours among NH PPP loan recipients. Because the PPP loans are temporary, federal and state entities may need to institute sufficient and sustainable support to mitigate NH staffing shortages.

Examination of Staffing Shortages at US Nursing Homes During the COVID-19 Pandemic.

Importance: Staffing shortages have been widely reported in US nursing homes during the COVID-19 pandemic, but traditional quantitative research analyses have found mixed evidence of staffing shortfalls. Objective: To examine whether nursing home administrator perspectives can provide context for conflicting aggregate staffing reports in US nursing homes during the COVID-19 pandemic. Design, Setting, and Participants: In a qualitative study, convergent mixed-methods analysis integrating qualitative and quantitative data sets was used. Semistructured qualitative interviews were conducted between July 14, 2020, and December 16, 2021. Publicly available national Payroll Based Journal data were retrieved from January 1, 2020, to September 30, 2022, on 40 US nursing homes in 8 health care markets that varied by region and nursing home use patterns. Staffing and resident measures were derived from Payroll Based Journal data and compared with national trends for 15 436 US nursing homes. Nursing home administrators were recruited for interviews. Of the 40 administrators who consented to participate, 4 were lost to follow-up. Exposure: Four repeated, semistructured qualitative interviews with participants were conducted. Interview questions focused on the changes noted during the COVID-19 pandemic in nursing homes. Main Outcomes and Measures: Thematic description of nursing home administrator compensatory strategies to provide context for quantitative analyses on nursing home staffing levels during the COVID-19 pandemic. Results: A total of 156 interviews were completed with 40 nursing home administrators. Administrators reported experiencing staff shortages during the COVID-19 pandemic and using compensatory strategies, such as overtime, cross-training, staff-to-resident ratio adjustments, use of agency staff, and curtailing admissions, to maintain operations and comply with minimum staffing regulations. Payroll Based Journal data measures graphed from January 1, 2020, to September 30, 2022, supported administrator reports showing that study facilities had reductions in staff hours, increased use of agency staff, and decreased resident census. Findings were similar to national trends. Conclusions and Relevance: In this qualitative, convergent mixed-methods study, nursing home administrators reported the major staffing strain they experienced at their facilities and the strategies they used to offset staffing shortages. Their experiences provide context to quantitative analyses on aggregate nursing home census data. The short-term compensatory measures administrators used to comply with regulations and maintain operations may be detrimental to the long-term stability of this workforce.

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.

Monoclonal Antibody and Oral Antiviral Treatment of SARS-CoV-2 Infection in US Nursing Homes.

This study examines the use of COVID-19 antiviral treatments in US nursing homes and the facility characteristics associated with use of oral antivirals and monoclonal antibodies.

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.

Medicaid home and community-based services spending for older adults: Is there a "woodwork" effect?

BACKGROUND: Although older adults prefer to age at home, Medicaid has a longstanding institutional bias in funding long-term services and supports (LTSS). Some states have resisted expanding Medicaid funding for home- and community-based services (HCBS) due to budgetary concerns related to the so-called "woodwork" effect whereby individuals enroll on Medicaid to access HCBS. METHODS: To examine the implications associated with state Medicaid HCBS expansion, we obtained state-year data for 1999-2017 from various sources. We estimated difference-in-differences regressions comparing outcomes in states that expanded Medicaid HCBS aggressively versus those that expanded less aggressively, controlling for several covariates. We examined a range of outcomes including Medicaid enrollment, nursing home census, Medicaid institutional LTSS spending, total Medicaid LTSS spending, and Medicaid HCBS waiver enrollment. We measured HCBS expansion by the total share of state Medicaid LTSS spending for aged and disabled persons devoted to HCBS. RESULTS: HCBS expansion was not associated with increased Medicaid enrollment among individuals ages 65 and older. A 1% increase in HCBS spending was associated with reductions in the state nursing home population of 47.1 residents (95% confidence interval [CI]: -80.5, -13.8) and institutional Medicaid LTSS spending of $7.3 million (95% CI: -$12.1M, -$2.4M). A $1 increase in HCBS spending was associated with $0.74 increase (95% CI: $0.57, $0.91) in total LTSS spending, suggesting each dollar directed to HCBS was offset by $0.26 savings from decreased nursing home use. Increased HCBS waiver spending was associated with more older adults receiving LTSS at a lower cost per beneficiary served relative to the nursing home setting. CONCLUSIONS: We did not find evidence of a woodwork effect in those states that expanded Medicaid HCBS more aggressively, as measured by age 65 and older Medicaid enrollment. However, they did experience Medicaid savings from reduced nursing home use, suggesting states that expand Medicaid HCBS are able to use these additional dollars to serve more LTSS recipients.

Spillover effect of the Patient Drive Payment Model on skilled nursing facility therapy delivery among Medicare Advantage enrollees.

In a multi-payer health care system, economic theory suggests that different payers can impose spillover effects on one another. This study aimed to evaluate the spillover effect of the Patient Driven Payment Model (PDPM) on Medicare Advantage (MA) enrollees, despite it being designed for Traditional Medicare (TM) beneficiaries. We applied a regression discontinuity approach by comparing therapy utilization before and after the implementation of PDPM in October 2019 focusing on patients newly admitted to skilled nursing facilities. The results showed that both TM and MA enrollees experienced a decrease in individual therapy minutes and an increase in non-individual therapy minutes. The estimated reduction in total therapy use was 9 min per day for TM enrollees and 3 min per day for MA enrollees. The effect of PDPM on MA beneficiaries varied depending on the level of MA penetration, with the smallest effect in facilities with the highest MA penetration quartile. In summary, the PDPM had directionally similar effects on therapy utilization for both TM and MA enrollees, but the magnitudes were smaller for MA beneficiaries. These results suggest that policy changes intended for TM beneficiaries may spillover to MA enrollees and should be assessed accordingly.

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.

Covid-19 Surveillance Testing and Resident Outcomes in Nursing Homes.

BACKGROUND: Despite widespread adoption of surveillance testing for coronavirus disease 2019 (Covid-19) among staff members in skilled nursing facilities, evidence is limited regarding its relationship with outcomes among facility residents. METHODS: Using data obtained from 2020 to 2022, we performed a retrospective cohort study of testing for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) among staff members in 13,424 skilled nursing facilities during three pandemic periods: before vaccine approval, before the B.1.1.529 (omicron) variant wave, and during the omicron wave. We assessed staff testing volumes during weeks without Covid-19 cases relative to other skilled nursing facilities in the same county, along with Covid-19 cases and deaths among residents during potential outbreaks (defined as the occurrence of a case after 2 weeks with no cases). We reported adjusted differences in outcomes between high-testing facilities (90th percentile of test volume) and low-testing facilities (10th percentile). The two primary outcomes were the weekly cumulative number of Covid-19 cases and related deaths among residents during potential outbreaks. RESULTS: During the overall study period, 519.7 cases of Covid-19 per 100 potential outbreaks were reported among residents of high-testing facilities as compared with 591.2 cases among residents of low-testing facilities (adjusted difference, -71.5; 95% confidence interval [CI], -91.3 to -51.6). During the same period, 42.7 deaths per 100 potential outbreaks occurred in high-testing facilities as compared with 49.8 deaths in low-testing facilities (adjusted difference, -7.1; 95% CI, -11.0 to -3.2). Before vaccine availability, high- and low-testing facilities had 759.9 cases and 1060.2 cases, respectively, per 100 potential outbreaks (adjusted difference, -300.3; 95% CI, -377.1 to -223.5), along with 125.2 and 166.8 deaths (adjusted difference, -41.6; 95% CI, -57.8 to -25.5). Before the omicron wave, the numbers of cases and deaths were similar in high- and low-testing facilities; during the omicron wave, high-testing facilities had fewer cases among residents, but deaths were similar in the two groups. CONCLUSIONS: Greater surveillance testing of staff members at skilled nursing facilities was associated with clinically meaningful reductions in Covid-19 cases and deaths among residents, particularly before vaccine availability.

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.

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.