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Disparities in Successful Discharge to the Community Following Use of Medicare Home Health by Level of Neighborhood Socioeconomic Disadvantage
Abstract
Considering the importance of social and structural support and resources in recovering health, where people reside could lead to differences in health outcome in Medicare home health care. We used the 2019 Outcome and Assessment Information Set and Area Deprivation Index to examine the association between neighborhood context and successful discharge to community among older Medicare home health care users. Based on the multivariable logistic regression (OR: 0.84; 95% CI, 0.83-0.85) and conditional logistic regression models stratified by home health agency (OR: 0.95; 95% CI, 0.94-0.95), patients living in the most disadvantaged neighborhoods were less likely to experience successful discharge to community than others. Furthermore, the predicted probability of successful discharge to community decreased as the percentage of patients from the most disadvantaged neighborhoods within a home health agency increased. Policymakers should consider using area-level interventions and supports to reduce disparities in Medicare home health care.
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Patients receiving home health services from high-quality home health agencies often experience fewer adverse outcomes (for example, hospitalizations) than patients receiving services from low-quality agencies. Using administrative data from 2016 and regression analysis, we examined individual- and neighborhood-level racial, ethnic, and socioeconomic factors associated with the use of high-quality home health agencies. We found that Black and Hispanic home health patients had a 2.2-percentage-point and a 2.5-percentage-point lower adjusted probability of high-quality agency use, respectively, compared with their White counterparts within the same neighborhoods. Low-income patients had a 1.2-percentage-point lower adjusted probability of high-quality agency use compared with their higher-income counterparts, whereas home health patients residing in neighborhoods with higher proportions of marginalized residents had a lower adjusted probability of high-quality agency use. Some 40-77 percent of the disparities in high-quality agency use were attributable to neighborhood-level factors. Ameliorating these inequities will require policies that dismantle structural and institutional barriers related to residential segregation.
Background
Clostridioides difficile infection (CDI) is commonly associated with outcomes like recurrence and readmission. The effect of social determinants of health, such as ‘neighborhood’ socioeconomic disadvantage, on a CDI patient’s health outcomes is unclear. Living in a disadvantaged neighborhood could interfere with a CDI patient’s ability to follow post-discharge care recommendations and the success probability of these recommendations, thereby increasing risk of readmission. We hypothesized that neighborhood disadvantage was associated with 30-day readmission risk in Medicare patients with CDI.
Methods
In this retrospective cohort study, odds of 30-day readmission for CDI patients are evaluated controlling for patient sociodemographics, comorbidities, and hospital and stay-level variables. The cohort was created from a random 20% national sample of Medicare patients during the first 11 months of 2014.
Results
From the cohort of 19,490 patients (39% male; 80% white; 83% 65 years or older), 22% were readmitted within 30 days of an index stay. Unadjusted analyses showed that patients from the most disadvantaged neighborhoods were readmitted at a higher rate than those from less disadvantaged neighborhoods (26% vs. 21% rate: unadjusted OR = 1.32 [1.20, 1.45]). This relationship held in adjusted analyses, in which residence in the most disadvantaged neighborhoods was associated with 16% increased odds of readmission (adjusted OR = 1.16 [1.04, 1.28]).
Conclusions
Residence in disadvantaged neighborhoods poses a significantly increased risk of readmission in CDI patients. Further research should focus on in-depth assessments of this population to better understand the mechanisms underlying these risks and if these findings apply to other infectious diseases.
Close social networks provide older persons with resources, including social support, that maintain their well-being. While scholarship shows how networks change over time, a dearth of research investigates changing social contexts as causes of network dynamics. Using the first two waves of the National Social Life, Health, and Aging Project survey (N = 1,776), this study shows how rising neighborhood-level concentrated disadvantage through the Great Recession of 2007–2009 was associated with smaller close networks, largely due to fewer new close ties gained, among older Americans. Worsening neighborhood circumstances pose obstacles to older residents’ acquisition of new close ties, including heightened fear, lower generalized trust, stress and depression, and declines in local institutions that attract both residents and nonresidents.
Background: Social service staff may play a key role in helping post-acute care patients in skilled nursing facilities return home, yet few studies quantify how social service staff contribute to better patient outcomes. Method: A quasi-experimental statistical approach, regression discontinuity, was used among newly-admitted, Medicare post-acute care patients (65+) to examine the relationship between higher qualifications of social service workers and various discharge outcomes. National data (2011-2015) were drawn from the Online Survey Certification and Reporting system, the Certification and Survey Provider Enhanced Reports, and the Minimum Data Set. Findings: Patients in facilities with a greater proportion of more qualified social service staff (qualified social workers vs. paraprofessionals) had better discharge outcomes. Post-acute care patients were more likely to be discharged home within 30 days, compared to being re-hospitalized or remaining in the facility. Conclusion: Policymakers and providers should support efforts to increase the qualifications of social service staff.
Importance
Medicare Advantage (MA) enrollment is increasing, with one-third of Medicare beneficiaries currently selecting MA. Despite this growth, it is difficult to assess the quality of the health care professionals and organizations that serve MA beneficiaries or to compare them with health care professionals and organizations serving traditional Medicare (TM) beneficiaries. Elderly individuals served by home health agencies (HHAs) may be particularly susceptible to the negative outcomes associated with low-quality care.
Objective
To compare the quality of HHAs that serve TM and MA beneficiaries.
Design, Setting, and Participants
This cross-sectional, admission-level analysis used data from 4 391 980 home health admissions identified using the Outcome and Assessment Information Set (most commonly known as OASIS) admission assessments of Medicare beneficiaries in 2015 from Medicare-certified HHAs. A multinomial logistic regression model was used to assess whether an association existed between the Medicare plan type and HHA quality. The model was adjusted for patient demographics, acuity, and characteristics of the zip codes. Sensitivity analyses controlled for zip code fixed effects. The present analysis was conducted between October 2018 and March 2019.
Exposures
Home health users were classified as TM or MA beneficiaries using the Master Beneficiary Summary File. The MA beneficiaries were further classified as enrolled in a high- or low-quality MA plan on the basis of publicly reported MA star ratings.
Main Outcomes and Measures
Quality of HHA derived from the publicly reported patient care star ratings: low quality (1.0-2.5 stars), average quality (3.0-3.5 stars), or high quality (≥4.0 stars).
Results
Of 4 391 980 admissions, most (75.5%) were for TM beneficiaries (mean [SD] age, 76.1 [12.2] years), with 16.6% of beneficiaries enrolled in high-quality MA plans (mean [SD] age, 77.8 [10.0] years) and 7.9% in low-quality MA plans (mean [SD] age, 74.4 [11.4] years). Individuals enrolled in low-rated MA plans were most likely to be nonwhite (percentages of nonwhite individuals in TM, 14.3%; in high-quality MA, 19.8%; and in low-quality MA, 36.5%) and dual Medicare-Medicaid eligible (percentages for dual eligible in TM, 30.5%; in high-quality MA, 19.5%; and in low-quality MA, 43.3%). Among TM beneficiaries, 30.4% received care from high-quality HHAs, whereas 17.0% received care from low-quality HHAs. Compared with TM beneficiaries, those in a low-quality MA plan were 3.0 percentage points (95% CI, 2.6%-3.4%) more likely to be treated by a low-quality HHA and 4.9 percentage points (95% CI, −5.4% to −4.3%) less likely to be treated by a high-quality HHA. The MA beneficiaries in high-quality plans were also less likely to receive care from high-quality vs low-quality HHAs (−2.8% [95% CI, −3.1% to −2.2%] vs 1.0% [95% CI, 0.7%-1.3%]).
Conclusions and Relevance
Compared with TM beneficiaries, MA beneficiaries residing in the same zip code enrolled in either high- or low-quality MA plans may receive treatment from lower-quality HHAs. Policy makers may consider incentivizing MA plans to include higher-quality HHAs in their networks and improving patient education regarding HHA quality.
BACKGROUND/OBJECTIVES
Improving quality performance in home health is an increasingly high priority. The objective of this study was to examine trends in industry performance over time using three quality measures: a composite quality metric (Q index), an infection prevention measure (vaccination verification), and an outcome measure (hospital avoidance).
DESIGN/SETTING/PARTICIPANTS/MEASURES
We linked Home Health Compare and Provider of Services data from 2012 to 2016, which included 39 211 observations during the 5‐year study period and 7670 agencies in 2016. The Q index was developed to allow comparability over time, equally weighting the contributions of each element. After examining summary statistics, we developed three regression models stratified by ownership (for‐profit/nonprofit agency) and included two constructs of nurse staffing, in addition to controlling for known confounders.
RESULTS
Most agencies (80.4%) were for‐profit agencies. The Q index and vaccination verification improved substantially over time, but there was no change in hospital avoidance. Ownership status was associated with all three measures (P < .001). Registered nurse staffing (relative to licensed practical nurses and home health aides) was associated with higher Q index and vaccination verification (P < .001).
CONCLUSION
The Q index allows for assessment of trends over time in home healthcare. Ownership and nurse staffing are important factors in the quality of care. The overall home care market is driven by for‐profit agencies, but their characteristics and outcomes differ from nonprofit agencies.
Background:
We propose using neighborhood characteristics as demand-related morbidity adjusters to improve prediction models such as the risk equalization model.
Results:
Since the neighborhood has no explicit 'place' in healthcare demand models, we have developed the "Neighborhood and healthcare utilization model" to show how neighborhoods matter in healthcare utilization. Neighborhood may affect healthcare utilization via (1) the supply-side, (2) need, and (3) demand for healthcare - irrespective of need. Three pathways are examined in detail to explain how neighborhood characteristics influence healthcare utilization via need: the physiological, psychological and behavioral pathways. We underpin this theoretical model with literature on all relevant neighborhood characteristics relating to health and healthcare utilization.
Conclusion:
Potential neighborhood characteristics for the risk equalization model include the degree of urbanization, public and open space, resources and facilities, green and blue space, environmental noise, air pollution, social capital, crime and violence, socioeconomic status, stability, and ethnic composition. Air pollution has already been successfully tested as an important predictive variable in a healthcare risk equalization model, and it might be opportune to add more neighborhood characteristics.
Importance
Data from electronic health records (EHRs) are increasingly used for risk prediction. However, EHRs do not reliably collect sociodemographic and neighborhood information, which has been shown to be associated with health. The added contribution of neighborhood socioeconomic status (nSES) in predicting health events is unknown and may help inform population-level risk reduction strategies.
Objective
To quantify the association of nSES with adverse outcomes and the value of nSES in predicting the risk of adverse outcomes in EHR-based risk models.
Design, Setting, and Participants
Cohort study in which data from 90 097 patients 18 years or older in the Duke University Health System and Lincoln Community Health Center EHR from January 1, 2009, to December 31, 2015, with at least 1 health care encounter and residence in Durham County, North Carolina, in the year prior to the index date were linked with census tract data to quantify the association between nSES and the risk of adverse outcomes. Machine learning methods were used to develop risk models and determine how adding nSES to EHR data affects risk prediction. Neighborhood socioeconomic status was defined using the Agency for Healthcare Research and Quality SES index, a weighted measure of multiple indicators of neighborhood deprivation.
Main Outcomes and Measures
Outcomes included use of health care services (emergency department and inpatient and outpatient encounters) and hospitalizations due to accidents, asthma, influenza, myocardial infarction, and stroke.
Results
Among the 90 097 patients in the training set of the study (57 507 women and 32 590 men; mean [SD] age, 47.2 [17.7] years) and the 122 812 patients in the testing set of the study (75 517 women and 47 295 men; mean [SD] age, 46.2 [17.9] years), those living in neighborhoods with lower nSES had a shorter time to use of emergency department services and inpatient encounters, as well as a shorter time to hospitalizations due to accidents, asthma, influenza, myocardial infarction, and stroke. The predictive value of nSES varied by outcome of interest (C statistic ranged from 0.50 to 0.63). When added to EHR variables, nSES did not improve predictive performance for any health outcome.
Conclusions and Relevance
Social determinants of health, including nSES, are associated with the health of a patient. However, the results of this study suggest that information on nSES may not contribute much more to risk prediction above and beyond what is already provided by EHR data. Although this result does not mean that integrating social determinants of health into the EHR has no benefit, researchers may be able to use EHR data alone for population risk assessment.
Objective:
To characterize how rehabilitation goals of older patients change over time and to explore professionals' attitudes toward patient-centered goal-setting and their perspectives on rehabilitation goals.
Design:
Qualitative interview study.
Setting:
Three geriatric rehabilitation centers.
Subjects:
Ten patients (aged ⩾ 80), who had recently received inpatient geriatric rehabilitation, and seven professionals were purposively recruited.
Methods:
Semi-structured interviews. Patients were interviewed in the third or fourth week after discharge from inpatient rehabilitation, to reflect on their inpatient goals and to investigate long-term goals now that they were at home. A thematic analysis was performed.
Results:
During inpatient rehabilitation, participants' main goals were regaining independence in self-care activities and going home. Post-discharge, patients were not at their baseline functioning level. Rehabilitation goals appeared to shift over time, and once at home, patients formulated more ambitious rehabilitation goals that were related to regaining full independence and being able to perform activities. Although professionals thought goal-setting together with the patient is important, they also stated that older individuals often are either unable to formulate goals or they set unrealistic ones. In addition, professionals indicated that goals have to be related to discharge criteria, such as performing basic self-care activities, and rehabilitation revolves around getting patients ready for discharge.
Conclusion:
During inpatient rehabilitation, patient goals are related to going home. After discharge, patients have ambitious goals, related to their premorbid functioning level. Rehabilitation services should distinguish between goals that are important while patients are inpatient and goals that are important after discharge.
Measures of socioeconomic disadvantage may enable improved targeting of programs to prevent rehospitalizations, but obtaining such information directly from patients can be difficult. Measures of U.S. neighborhood socioeconomic disadvantage are more readily available but are rarely used clinically.
To evaluate the association between neighborhood socioeconomic disadvantage at the census block group level, as measured by the Singh validated area deprivation index (ADI), and 30-day rehospitalization.
Retrospective cohort study.
United States.
Random 5% national sample of Medicare patients discharged with congestive heart failure, pneumonia, or myocardial infarction between 2004 and 2009 (n = 255 744).
Medicare data were linked to 2000 census data to construct an ADI for each patient's census block group, which were then sorted into percentiles by increasing ADI. Relationships between neighborhood ADI grouping and 30-day rehospitalization were evaluated using multivariate logistic regression models, controlling for patient sociodemographic characteristics, comorbid conditions and severity, and index hospital characteristics.
The 30-day rehospitalization rate did not vary significantly across the least disadvantaged 85% of neighborhoods, which had an average rehospitalization rate of 21%. However, within the most disadvantaged 15% of neighborhoods, rehospitalization rates increased from 22% to 27% with worsening ADI. This relationship persisted after full adjustment, with the most disadvantaged neighborhoods having a rehospitalization risk (adjusted risk ratio, 1.09 [95% CI, 1.05 to 1.12]) similar to that of chronic pulmonary disease (adjusted risk ratio, 1.06 [CI, 1.04 to 1.08]) and greater than that of uncomplicated diabetes (adjusted risk ratio, 0.95 [CI, 0.94 to 0.97]).
No direct markers of care quality or access.
Residence within a disadvantaged U.S. neighborhood is a rehospitalization predictor of magnitude similar to chronic pulmonary disease. Measures of neighborhood disadvantage, such as the ADI, could potentially be used to inform policy and care after hospital discharge.
National Institute on Aging and University of Wisconsin School of Medicine and Public Health's Institute for Clinical and Translational Research and Health Innovation Program.
Is neighborhood disadvantage associated with social support? If so, does residential stability modify that association? And are there gender- and race-contingent patterns? Among a sample of adults aged 65 years and older, neighborhood disadvantage is associated positively with received and donated support among black women, but only in neighborhoods with higher levels of residential stability. In contrast, neighborhood disadvantage is associated negatively with donated support among white men and negatively with received support among white women, but only under conditions of low residential stability. I discuss the implications of these findings for theories about stress and community-level effects on social relationships in late life and draw linkages to the broader sociological discourse on social capital and collective efficacy.
Background:
Readmission and mortality after hospitalization for community-acquired pneumonia (CAP) and heart failure (HF) are publically reported. This systematic review assessed the impact of social factors on risk of readmission or mortality after hospitalization for CAP and HF-variables outside a hospital's control.
Methods:
We searched OVID, PubMed and PSYCHINFO for studies from 1980 to 2012. Eligible articles examined the association between social factors and readmission or mortality in patients hospitalized with CAP or HF. We abstracted data on study characteristics, domains of social factors examined, and presence and magnitude of associations.
Results:
Seventy-two articles met inclusion criteria (20 CAP, 52 HF). Most CAP studies evaluated age, gender, and race and found older age and non-White race were associated with worse outcomes. The results for gender were mixed. Few studies assessed higher level social factors, but those examined were often, but inconsistently, significantly associated with readmissions after CAP, including lower education, low income, and unemployment, and with mortality after CAP, including low income. For HF, older age was associated with worse outcomes and results for gender were mixed. Non-Whites had more readmissions after HF but decreased mortality. Again, higher level social factors were less frequently studied, but those examined were often, but inconsistently, significantly associated with readmissions, including low socioeconomic status (Medicaid insurance, low income), living situation (home stability rural address), lack of social support, being unmarried and risk behaviors (smoking, cocaine use and medical/visit non-adherence). Similar findings were observed for factors associated with mortality after HF, along with psychiatric comorbidities, lack of home resources and greater distance to hospital.
Conclusions:
A broad range of social factors affect the risk of post-discharge readmission and mortality in CAP and HF. Future research on adverse events after discharge should study social determinants of health.
Using longitudinal data from the Fragile Families and Child Wellbeing study (N = 4,211), we examine neighborhood disadvantage and perceptions of instrumental support among mothers with young children. We find that: (a) living in a disadvantaged neighborhood is associated with less instrumental support, particularly financial assistance, from family and friends; (b) residential stability is associated with stronger personal safety nets irrespective of neighborhood quality; and (c) mothers who move to a more disadvantaged neighborhood experience a small but significant decline in perceived instrumental support compared to those who do not move. In interpreting these results, we suggest instrumental support may be either a cause or consequence of living in an advantaged neighborhood, but, in either case, neighborhood and social network disadvantages go hand in hand.
To identify goals of older patients in geriatric rehabilitation and to measure their improvement in overall functioning.
A prospective multi-centre cohort study.
A semi-structured questionnaire was used to identify patient goals and to assess improvement in overall functioning from patients' and health professionals' perspectives. Patients' goals were linked to the International Classification of Functioning, Disability and Health (ICF). Using a residualized change score, we identified patients who improved more than statistically expected.
A total of 209 patients gave 476 statements. Of these, 346 (72.7%) statements were linked to 58 different ICF categories. More than 90% of the ICF categories were part of the comprehensive geriatric ICF Core Set. "Walking", "getting rid of pain", "autonomy" and "returning home" were the most frequently reported goals. Multivariable analysis identified shorter length of inpatient stay and goal attainment to be significant predictors for an improvement in overall functioning from the patients' perspective.
The ICF can be used to identify and structure patients' goals in geriatric rehabilitation. The association between goal attainment and improved overall functioning underlines the necessity of considering the patients' perspective in the rehabilitation process.
This study sought to determine the contribution of neighborhood socioeconomic status to all-cause mortality and to explore its correlates. As part of the longitudinal “Gezondheid en LevensOmstandigheden Bevolking en omstreken” (GLOBE) study in the Netherlands, 8,506 randomly selected men and women aged 15–74 years from 86 neighborhoods in the city of Eindhoven reported on their socioeconomic status in the 1991 baseline survey. During the 6-year follow-up, 487 persons died. Neighborhood socioeconomic status was derived from individual reports on socioeconomic status. Its effect on mortality was stringently controlled for four individual-level socioeconomic indicators. Persons living in a neighborhood with a high percentage of unemployed/disabled or poor persons had a higher mortality risk than did those living in a neighborhood with a low percentage of unemployed/disabled or poor persons. This was independent of individual socioeconomic characteristics, including individual unemployment/disability or reports of severe financial problems. Educational and occupational neighborhood indicators were similarly, but less strongly, related to mortality. The prevalence of poor housing conditions, social disintegration, and unhealthy psychologic profiles and behaviors was higher in neighborhoods with a low socioeconomic status. Contextual effects of socioeconomic status may thus be due to one or more of these specific circumstances. The findings indicate potential public health benefits of modifying socioeconomic characteristics of areas.
While nursing homes were insulated from civil-rights enforcement at the time of the implementation of the Medicare program and lagged behind other parts of the health sector in providing comparable access to minorities, they are the only providers for which current reporting requirements make it possible to fully assess racial disparities in use and quality of care. We find that African Americans' use of nursing homes in 2000 in the United States was 14 percent higher than Caucasians' use. The largest relative African American use of nursing homes in 2000 took place in the South and West. Average nursing-home case-mix acuity for African Americans and Caucasians were essentially identical, suggesting that shifts in payment incentives have eliminated the selective admission of easy-care private-pay (predominantly Caucasian) patients and helped fuel the growth of private pay home care and assisted living for this segment of the population. While these shifts in incentives helped increase the use of nursing homes by African Americans, a high degree of segregation and disparity in the quality of the nursing homes used by African Americans persists. Parity in use is an illusive benchmark for measuring progress in assuring equity in treatment.
We examine the question of whether living in a disadvantaged neighborhood damages health, over and above the impact of personal socioeconomic characteristics. We hypothesize that (1) health correlates negatively with neighborhood disadvantage adjusting for personal disadvantage, and that (2) neighborhood disorder mediates the association, (3) partly because disorder and the fear associated with it discourage walking and (4) partly because they directly impair health. Data are from the 1995 Community, Crime, and Health survey, a probability sample of 2,482 adults in Illinois, with linked information about the respondent's census tract. We find that residents of disadvantaged neighborhoods have worse health (worse self-reported health and physical functioning and more chronic conditions) than residents of more advantaged neighborhoods. The association is mediated entirely by perceived neighborhood disorder and the resulting fear. It is not mediated by limitation of outdoor physical activity. The daily stress associated with living in a neighborhood where danger, trouble, crime and incivility are common apparently damages health. We call for a bio-demography of stress that links chronic exposure to threatening conditions faced by disadvantaged individuals in disadvantaged neighborhoods with physiological responses that may impair health.
This study aimed to determine if people living in communities with higher socio-economic deprivation are at an increased risk of cognitive and functional impairment even after controlling for the effects of individual socio-economic status.
We analysed cross-sectional data from the Medical Research Council Cognitive Function and Ageing Study which consists of a community-based sample of Cambridgeshire, Gwynedd, Newcastle, Nottingham and Oxford. The study included 13 004 men and women aged 65 years and over who were randomly selected from Family Health Services Authority computerized records after being stratified to ensure equal numbers of those aged 75 years and over and those under 75 years. The outcome measures were cognitive impairment (Mini-Mental State Exam 0-21) and functional impairment (Instrumental Activities of Daily Living and/or Activities of Daily Living disability).
Individuals living in more deprived areas, as measured by the Townsend deprivation score, were found to have a higher prevalence of cognitive impairment [odds ratio (OR) (most deprived versus least deprived quintile) = 2.3; 95% confidence interval (CI)1.8-3.0; P < 0.001] and functional impairment [OR (most deprived versus least) = 1.6; 95% CI 1.4-1.9; P < 0.001] after controlling for age, sex, centre effects, education and social class.
There is a significantly higher prevalence of cognitive impairment and functional impairment in elderly individuals living in socio-economically deprived areas regardless of their own socio-economic status. This evidence is of relevance for informing public health policy and those allocating resources for the long-term care of the elderly.
Objective:
Although individual-level social determinants of health (SDH) are known to influence 30-day readmission risk, contextual-level associations with readmission are poorly understood among children. This study explores associations between neighborhood disadvantage measured by Area Deprivation Index (ADI) and pediatric 30-day readmissions.
Methods:
This retrospective cohort study included discharges of patients aged < 20 years from Maryland's 2013-2016 all-payer dataset. The ADI, which quantifies 17 indicators of neighborhood socioeconomic disadvantage within census block groups, is used as a proxy for contextual-level SDH. Readmissions were identified with the 30-day Pediatric All-Condition Readmissions measure. Associations between ADI and readmission were identified with generalized estimating equations adjusted for patient demographics and clinical severity (Chronic Condition Indicator [CCI], Pediatric Medical Complexity Algorithm [PMCA], Index Hospital All Patients Refined Diagnosis Related Groups [APR-DRG]), and hospital discharge volume.
Results:
Discharges (n = 138,998) were mostly female (52.7%), publicly insured (55.1%), urban-dwelling (93.0%), with low clinical severity levels (0-1 CCIs [82.3%], minor APR-DRG severity [48.4%]). Overall readmission rate was 4.0%. Compared to the least disadvantaged ADI quartile, readmissions for the most disadvantaged quartile were significantly more likely (aOR 1.19, 95% CI 1.09-1.30). After adjustment, readmissions were associated with public insurance and indicators of medical complexity (higher number of CCIs, complex-chronic disease PMCA, and APR-DRG severity).
Conclusion:
In this all-payer, statewide sample, living in the most socioeconomically disadvantaged neighborhoods independently predicted pediatric readmission. While the relative magnitude of neighborhood disadvantage was modest compared to medical complexity, disadvantage is modifiable and thus represents an important consideration for prevention and risk stratification efforts.
Objective
To examine the growth and evolution of the home health agency (HHA) market and to compare quality performance across HHA ownership categories.
Data Source
Agency characteristics were extracted from Medicare cost reports and Provider of Services file. Quality of care and patient characteristics were extracted from Quality of Patient Care Star Ratings and HHA Public Use File.
Study Design
Agency‐ and state‐level analyses were conducted to describe HHA market trends. Patient characteristics and quality measures were compared across ownership categories of interest.
Data Collection/Extraction Methods
All Medicare‐certified HHAs in operation, 2005‐2018.
Principal Findings
Over the study period, the HHA sector grew substantially, increasing from 7899 to 10 818 agencies, and chain‐owned HHAs doubled in number from 903 (11.4% of all agencies) to 1841 (17.0%). In 2018, across agency types, for‐profit nonchain agencies were the largest category both in the number of agencies (67.8%) and the number of Medicare enrollees served (40.7%). Additionally, for‐profit nonchain agencies grew most in total number, from 4293 (54.3%) to 7337 (67.8%), while for‐profit chain agencies grew most in the number of Medicare enrollees served, from 439 998 (12.9%) to 1 082 385 (28.3%). Regarding patient composition, for‐profit nonchain agencies served the highest proportion of dual eligible beneficiaries (42.2%) and African‐Americans (27.9%) among all agency types. Regarding quality performance, a higher star rating is significantly (P < .01) associated with chain agency status. Moreover, chain HHAs performed better on self‐reported process measures, and risk‐adjusted self‐reported outcome measures; however, they performed worse on risk‐adjusted claims‐based outcome measures. These results were similar across for‐profit and nonprofit chain agencies.
Conclusion
Chains play a growing role in the home health sector. Substantial differences in geographic distribution, patient composition, and quality performance were observed between chain‐ and nonchain HHAs. Examining the growth and performance of multi‐agency chains can help inform quality reporting and monitoring, assess payment adequacy, and facilitate greater transparency and accountability within the HHA marketplace.
Background:
The Centers for Medicare and Medicaid Services provide nationwide hospital ratings that may influence reimbursement. These ratings do not account for the social risk of communities and may inadvertently penalize hospitals that service disadvantaged neighborhoods.
Objective:
This study examines the relationship between neighborhood social risk factors (SRFs) and hospital ratings in Medicare's Hospital Compare Program.
Research design:
2017 Medicare Hospital Compare ratings were linked with block group data from the 2015 American Community Survey to assess hospital ratings as a function of neighborhood SRFs.
Subjects:
A total of 3608 Medicare-certified hospitals in 50 US states.
Measures:
Hospital summary scores and 7 quality group scores (100 percentile scale), including effectiveness of care, efficiency of care, hospital readmission, mortality, patient experience, safety of care, and timeliness of care.
Results:
Lower hospital summary scores were associated with caring for neighborhoods with higher social risk, including a reduction in hospital score for every 10% of residents who reported dual-eligibility for Medicare/Medicaid [-3.3%; 95% confidence interval (CI), -4.7 to -2.0], no high-school diploma (-0.8%; 95% CI, -1.5 to -0.1), unemployment (-1.2%; 95% CI, -1.9 to -0.4), black race (-1.2%; 95% CI, -1.7 to -0.8), and high travel times to work (-2.5%; 95% CI, -3.3 to -1.6). Associations between neighborhood SRFs and hospital ratings were largest in the timeliness of care, patient experience, and hospital readmission groups; and smallest in the safety, efficiency, and effectiveness of care groups.
Conclusions:
Hospitals serving communities with higher social risk may have lower ratings because of neighborhood factors. Failing to account for neighborhood social risk in hospital rating systems may reinforce hidden disincentives to care for medically underserved areas in the United States.
Importance
Use of postacute care is common and costly in the United States, but there is significant uncertainty about whether the choice of postacute care setting matters. Understanding these tradeoffs is particularly important as new alternative payment models push patients toward lower-cost settings for care.
Objective
To investigate the association of patient outcomes and Medicare costs of discharge to home with home health care vs discharge to a skilled nursing facility.
Design, Setting, and Participants
A retrospective cohort study used Medicare claims data from short-term acute-care hospitals in the United States and skilled nursing facility and home health assessment data from January 1, 2010, to December 31, 2016, on Medicare beneficiaries who were discharged from the hospital to home with home health care or to a skilled nursing facility. To address the endogeneity of treatment choice, an instrumental variables approach used the differential distance between the beneficiary’s home zip code and the closest home health agency and the closest skilled nursing facility as an instrument.
Exposures
Receipt of postacute care at home vs in a skilled nursing facility.
Main Outcomes and Measures
Readmission within 30 days of hospital discharge, death within 30 days of hospital discharge, improvement in functional status during the postacute care episode, and Medicare payment for postacute care and total payment for the 60-day episode.
Results
A total of 17 235 854 hospitalizations (62.2% women and 37.8% men; mean [SD] age, 80.5 [7.9] years) were discharged either to home with home health care (38.8%) or to a skilled nursing facility (61.2%) during the study period. Discharge to home was associated with a 5.6-percentage point higher rate of readmission at 30 days compared with discharge to a skilled nursing facility (95% CI, 0.8-10.3; P = .02). There were no significant differences in 30-day mortality rates (−2.0 percentage points; 95% CI, 0.8-10.3; P = .12) or improved functional status (−1.9 percentage points; 95% CI, –12.0 to 8.2; P = .71). Medicare payment for postacute care was significantly lower for those discharged to home compared with those discharged to a skilled nursing facility (−$5384; 95% CI, –$6932 to –$3837; P < .001), as was total Medicare payment within the first 60 days after admission (−$4514; 95% CI, –$6932 to –$3837; P < .001).
Conclusions and Relevance
Among Medicare beneficiaries eligible for postacute care at home or in a skilled nursing facility, discharge to home with home health care was associated with higher rates of readmission, no detectable differences in mortality or functional outcomes, and lower Medicare payments.
Audio Interview
Interview with Dr. Amy Kind on a new tool for incorporating data on neighborhood disadvantage into research, policy, and health interventions. (15:45)Download
Better understanding of variations in neighborhood disadvantage could lead to improved insight into the sociobiologic mechanisms that underlie health disparities, which could, in turn, facilitate the development of improved therapeutics and interventions.
Under current law, national health spending is projected to grow 5.5 percent annually on average in 2017-26 and to represent 19.7 percent of the economy in 2026. Projected national health spending and enrollment growth over the next decade is largely driven by fundamental economic and demographic factors: changes in projected income growth, increases in prices for medical goods and services, and enrollment shifts from private health insurance to Medicare that are related to the aging of the population. The recent enactment of tax legislation that eliminated the individual mandate is expected to result in only a small reduction to insurance coverage trends.
Importance:
Postacute care is thought to be a major source of wasteful spending. The extent to which accountable care organizations (ACOs) can limit postacute care spending has implications for the importance and design of other payment models that include postacute care.
Objective:
To assess changes in postacute care spending and use of postacute care associated with provider participation as ACOs in the Medicare Shared Savings Program (MSSP) and the pathways by which they occurred.
Design, setting, and participants:
With the use of fee-for-service Medicare claims from a random 20% sample of beneficiaries with 25 544 650 patient-years, 8 395 426 hospital admissions, and 1 595 352 stays in skilled nursing facilities (SNFs) from January 1, 2009, to December 31, 2014, difference-in-difference comparisons of beneficiaries served by ACOs with beneficiaries served by local non-ACO health care professionals (control group) were performed before vs after entry into the MSSP. Differential changes were estimated separately for cohorts of ACOs entering the MSSP in 2012, 2013, and 2014.
Exposures:
Patient attribution to an ACO in the MSSP.
Main outcomes and measures:
Postacute spending, discharge to a facility, length of SNF stays, readmissions, use of highly rated SNFs, and mortality, adjusted for patient characteristics.
Results:
For the 2012 cohort of 114 ACOs, participation in the MSSP was associated with an overall reduction in postacute spending (differential change in 2014 for ACOs vs control group, -$106 per beneficiary [95% CI, -$176 to -$35], or -9.0% of the precontract unadjusted mean of $1172; P = .003) that was driven by differential reductions in acute inpatient care, discharges to facilities rather than home (-0.6 percentage points [95% CI, -1.1 to 0.0], or -2.7% of the unadjusted precontract mean of 22.6%; P = .03), and length of SNF stays (-0.60 days per stay [95% CI, -0.99 to -0.22], or -2.2% of the precontract unadjusted mean of 27.07 days; P = .002). Reductions in use of SNFs and length of stay were largely due to within-hospital or within-SNF changes in care specifically for ACO patients. Participation in the MSSP was associated with smaller significant reductions in SNF spending in 2014 for the 2013 ACO cohort (-$27 per beneficiary [95% CI, -$49 to -$6], or -3.3% of the precontract unadjusted mean of $813; P = .01) but not in the 2013 or 2014 cohort's first year of participation (-$13 per beneficiary [95% CI, -$33 to $6]; P = .19; and $4 per beneficiary [95% CI, -$15 to $24]; P = .66). Estimates were similar for ACOs with and without financial ties to hospitals. Participation in the MSSP was not associated with significant changes in 30-day readmissions, use of highly rated SNFs, or mortality.
Conclusions and relevance:
Participation in the MSSP has been associated with significant reductions in postacute spending without ostensible deterioration in quality of care. Spending reductions were more consistent with clinicians working within hospitals and SNFs to influence care for ACO patients than with hospital-wide initiatives by ACOs or use of preferred SNFs.
Objective:
Neighborhood disadvantage (ND), incivilities, and crime disproportionately impact minority women, discouraging physical activity (PA). Social support (SS) is a cultural tool promoting PA in minority women. Socially supportive environments may promote PA in disadvantaged neighborhoods, yet few studies have investigated the mediating role of social support among minority women. This study examined SS as a mediator among ND, incivilities, crime, and PA.
Methods:
The Health Is Power study aimed to increase PA in African American and Hispanic Latina women (N=410) in Houston and Austin, TX. ND and crime data were taken from the National Neighborhood Crime Study. Incivilities were measured using the Pedestrian Environment Data Scan (PEDS). SS was measured using the Family and Friend Support for Exercise Habits scale and physical activity was measured using the International Physical Activity Questionnaire. Linear regression analysis was used to examine SS as a mediator following the Baron and Kenny method.
Results:
ND was negatively associated with PA and SS. SS was not a mediator as it was not significantly associated with ND, crime, and incivilities (F(3,264)=2.02, p>.05) or PA (F(1,266)=3.8 p=.052).
Conclusion:
ND significantly discourages PA and limits SS. Future research should focus on developing strategies to overcoming these negative environmental factors.
Patients of each race prefer nursing homes with higher prevalence of patients of their own race.•Preference for distance and quality of care are same for patients of both the races.•Both preference for distance and preference for racial homogeneity contribute to racial disparity in nursing home quality of care.•Results are robust among subgroup of patients with same Medicaid eligibility and similar likelihood of becoming long-stay resident.•Simulations based on estimated sorting model suggest that interventions targeting nursing homes serving minority population would yield a greater reduction in racial quality disparities than interventions targeting low quality nursing homes.
Objective
To examine the relationship between community factors and hospital readmission rates.Data Sources/Study SettingWe examined all hospitals with publicly reported 30-day readmission rates for patients discharged during July 1, 2007, to June 30, 2010, with acute myocardial infarction (AMI), heart failure (HF), or pneumonia (PN). We linked these to publicly available county data from the Area Resource File, the Census, Nursing Home Compare, and the Neilsen PopFacts datasets.Study DesignWe used hierarchical linear models to assess the effect of county demographic, access to care, and nursing home quality characteristics on the pooled 30-day risk-standardized readmission rate.Data Collection/Extraction Methods
Not applicable.Principal FindingsThe study sample included 4,073 hospitals. Fifty-eight percent of national variation in hospital readmission rates was explained by the county in which the hospital was located. In multivariable analysis, a number of county characteristics were found to be independently associated with higher readmission rates, the strongest associations being for measures of access to care. These county characteristics explained almost half of the total variation across counties.Conclusions
Community factors, as measured by county characteristics, explain a substantial amount of variation in hospital readmission rates.
This study assessed the relationships between older patients' social support resources and depressive symptoms and psychosocial functioning at 6 months following a psychiatric hospital discharge. The data used in this study were extracted from a prospective study titled "Service Use of Depressed Elders after Acute Care" (National Institute of Mental Health-56208). This sample included 148 older patients who participated in the initial and the 6-month follow-up assessment. Ordinary Least Squares regression (OLS) was used to examine important social support resources in relation to older patients' depressive symptoms and psychosocial functioning. A vast majority of patients were embedded in a social support network that consisted of acquaintances and confidants. Patients' depressive symptoms were related to availability of a confidant and the extent to which they spent time with others. However, patients' psychosocial functioning was not related to social support resources assessed in this study.
The Outcome and Assessment Information Set (OASIS) is the patient-specific, standardized assessment used in Medicare home health care to plan care, determine reimbursement, and measure quality. Since its inception in 1999, there has been debate over the reliability and validity of the OASIS as a research tool and outcome measure. A systematic literature review of English-language articles identified 12 studies published in the last 10 years examining the validity and reliability of the OASIS. Empirical findings indicate the validity and reliability of the OASIS range from low to moderate but vary depending on the item studied. Limitations in the existing research include: nonrepresentative samples; inconsistencies in methods used, items tested, measurement, and statistical procedures; and the changes to the OASIS itself over time. The inconsistencies suggest that these results are tentative at best; additional research is needed to confirm the value of the OASIS for measuring patient outcomes, research, and quality improvement.
Early aggressive rehabilitation therapies maximize functional recovery. We examined patient-reported preferences for their initial rehabilitation therapy setting during their acute stroke hospitalization and whether there was an association between their preferences and their actual discharge destination.
Eligible stroke patients were surveyed during their acute hospital stay at either a primary stroke center or a rural community hospital in North Carolina. Patients were questioned about their knowledge of inpatient rehabilitation, preferences for the initial rehabilitation therapy setting and intensity, and how far from home they were willing to travel to receive therapies. The primary outcome was their actual discharge destination. The exposure variable was their preference for initial rehabilitation therapy setting. Logistic regression models assessed the relationship between the outcome and exposure while controlling for other variables of interest.
Among 53 patients surveyed in the study, 85% preferred to be discharged home. After controlling for other factors, discharge to the actual destination of home was associated with a preference for an initial rehabilitation therapy setting of home (OR, 7.19; 95% CI, 1.10-46.89).
Patient preference for the initial rehabilitation therapy setting is home. Providers should inquire about patient preference and provide information about treatment options to help inform decision making.
Do the socioeconomic characteristics of a community affect one's health? This research examines whether the socioeconomic characteristics of communities are associated with the health of community residents, over and above the socio-economic characteristics of individual residents and their families. This is the first study to examine the independent associations between community-level socio-economic status (SES) and individual-level health using a nationally representative sample of adults in the United States. Results indicate that a person's health is associated with SES characteristics of the community over and above one's own income, education, and assets. However, individual-level and family-level SES indicators are stronger predictors of health than community-level SES indicators. This research suggests that improving individual-level and family-level socioeconomic circumstances may be the more direct way to improve the health of individuals, but that understanding the community context in which a person lives may also ultimately be important to improving health.
Neighborhoods with poor-quality housing, few resources, and unsafe conditions impose stress, which can lead to depression. The stress imposed by adverse neighborhoods increases depression above and beyond the effects of the individual's own personal stressors, such as poverty and negative events within the family or work-place. Furthermore, adverse neighborhoods appear to intensify the harmful impact of personal stressors and interfere with the formation of bonds between people, again increasing risk for depression. Neighborhoods do not affect all people in the same way. People with different personality characteristics adjust in different ways to challenging neighborhoods. As a field, psychology should pay more attention to the impact of contextual factors such as neighborhoods. Neighborhood-level mental health problems should be addressed at the neighborhood level. Public housing policies that contribute to the concentration of poverty should be avoided and research should be conducted on the most effective ways to mobilize neighborhood residents to meet common goals and improve the context in which they live.