Discharge destination's effect on bounce-back risk in Black, White, and Hispanic acute ischemic stroke patients

Sex-specific racial and ethnic variations in short-term outcomes among patients with first or recurrent ischemic stroke: Paul Coverdell National Acute Stroke Program, 2016-2020

BACKGROUND AND PURPOSE

To understand the association of sex-specific race and ethnicity on the short-term outcomes of initial and recurrent ischemic stroke events.

METHODS

Using the Paul Coverdell National Acute Stroke Program from 2016-2020, we examined 426,062 ischemic stroke admissions from 629 hospitals limited to non-Hispanic White (NHW), non-Hispanic Black (NHB), and Hispanic patients. We performed multivariate logistic regression analyses to assess the combined effects of sex-specific race and ethnicity on short-term outcomes for acute ischemic stroke patients presenting with initial or recurrent stroke events. Outcomes assessed include rates of in-hospital death, discharge to home, and symptomatic intracranial hemorrhage (sICH) after reperfusion treatment.

RESULTS

Among studied patients, the likelihood of developing sICH after reperfusion treatment for initial ischemic stroke was not significantly different. The likelihood of experiencing in-hospital death among patients presenting with initial stroke was notably higher among NHW males (AOR 1.59 [95 % CI 1.46, 1.73]), NHW females (AOR 1.34 [95 % CI 1.23, 1.45]), and Hispanic males (AOR 1.57 [95 % CI 1.36, 1.81]) when compared to NHB females. Hispanic females were more likely to be discharged home when compared to NHB females after initial stroke event (AOR 1.32 [95 % CI 1.23, 1.41]). NHB males (AOR 0.90 [95 % CI 0.87, 0.94]) and NHW females (AOR 0.89 [95 % CI 0.86, 0.92]) were less likely to be discharged to home. All groups with recurrent ischemic strokes experienced higher likelihood of in-hospital death when compared to NHB females with the highest likelihood among NHW males (AOR 2.13 [95 % CI 1.87, 2.43]). Hispanic females had a higher likelihood of discharging home when compared to NHB females hospitalized for recurrent ischemic stroke, while NHB males and NHW females with recurrent ischemic stroke hospitalizations were less likely to discharge home.

CONCLUSIONS

Sex-specific race and ethnic disparities remain for short-term outcomes in both initial and recurrent ischemic stroke hospitalizations. Further studies are needed to address disparities among recurrent ischemic stroke hospitalizations.

Referral to Community-Based Rehabilitation Following Acute Stroke: Findings From the COMPASS Pragmatic Trial

BACKGROUND

Few studies on care transitions following acute stroke have evaluated whether referral to community-based rehabilitation occurred as part of discharge planning. Our objectives were to describe the extent to which patients discharged home were referred to community-based rehabilitation and identify the patient, hospital, and community-level predictors of referral.

METHODS

We examined data from 40 North Carolina hospitals that participated in the COMPASS (Comprehensive Post-Acute Stroke Services) cluster-randomized trial. Participants included adults discharged home following stroke or transient ischemic attack (N=10  702). In this observational analysis, COMPASS data were supplemented with hospital-level and county-level data from various sources. The primary outcome was referral to community-based rehabilitation (physical, occupational, or speech therapy) at discharge. Predictor variables included patient (demographic, stroke-related, medical history), hospital (structure, process), and community (therapist supply) measures. We used generalized linear mixed models with a hospital random effect and hierarchical backward model selection procedures to identify predictors of therapy referral.

RESULTS

Approximately, one-third (36%) of stroke survivors (mean age, 66.8 [SD, 14.0] years; 49% female, 72% White race) were referred to community-based rehabilitation. Rates of referral to physical, occupational, and speech therapists were 31%, 18%, and 10%, respectively. Referral rates by hospital ranged from 3% to 78% with a median of 35%. Patient-level predictors included higher stroke severity, presence of medical comorbidities, and older age. Female sex (odds ratio, 1.24 [95% CI, 1.12-1.38]), non-White race (2.20 [2.01-2.44]), and having Medicare insurance (1.12 [1.02-1.23]) were also predictors of referral. Referral was higher for patients living in counties with greater physical therapist supply. Much of the variation in referral across hospitals remained unexplained.

CONCLUSIONS

One-third of stroke survivors were referred to community-based rehabilitation. Patient-level factors predominated as predictors. Variation across hospitals was notable and presents an opportunity for further evaluation and possible targets for improved poststroke rehabilitative care.

REGISTRATION

URL: https://www.clinicaltrials.gov; Unique identifier: NCT02588664.

Emulating Three Clinical Trials that Compare Stroke Rehabilitation at Inpatient Rehabilitation Facilities to Skilled Nursing Facilities

OBJECTIVE

To inform the design of a potential future randomized controlled trial, we emulated three trials where patient-level outcomes were compared following stroke rehabilitation at Inpatient Rehabilitation Facilities (IRFs) to Skilled Nursing Facilities (SNFs).

DESIGN

Trials were emulated using a 1:1 matched propensity score analysis. The three trials differed as facilities from rehabilitation networks with different case-volumes were compared. Rehabilitation network case-volumes were based on the number of stroke patients that each hospital discharged to each specific IRF or SNF. Trial 1 included 60,529 patients from all networks, trial 2 included 34,444 patients from networks with medium- and large case-volumes (i.e., ≥5 patients), trial 3 included 19,161 patients from networks with large case-volumes (i.e., ≥10 patients). E-values were calculated to estimate the minimum strength that an unmeasured confounder would need to be to nullify the results.

SETTING

A national sample of IRFs and SNFs from across the United States.

PARTICIPANTS

Acute Fee-for-service Medicare stroke patients who received IRF or SNF based rehabilitation.

INTERVENTIONS

Not applicable.

MAIN OUTCOME MEASURE(S)

1-year successful community discharge (home for >30 consecutive days) and all-cause mortality.

RESULTS

Overall, 29,500, 15,156, and 7,450 patients were matched for trials 1, 2 and 3. For 1-year successful community discharge, absolute risk differences for IRF patients were 0.21 (95% CI: 0.20, 0.22), 0.17 (95% CI: 0.16, 0.19), and 0.12 (95% CI: 0.10, 0.14) in trials 1, 2 and 3, respectively. For 1-year all-cause mortality, corresponding risk differences were -0.11 (95% CI: -0.12, -0.11), -0.11 (95% CI: -0.12, -0.09), and -0.08 (95% CI: -0.10, -0.06). E-values indicated that a moderately sized unmeasured confounder, with a relative risk of 1.6 to 2.0 would nullify differences in successful community discharge.

CONCLUSION(S)

IRF patients had superior outcomes, but differences were attenuated when IRFs and SNFs from larger rehabilitation networks were compared. The vulnerability of the findings to unmeasured confounding supports the need for an RCT.

Multiple Chronic Conditions Explain Ethnic Differences in Functional Outcome Among Patients With Ischemic Stroke

BACKGROUND AND PURPOSE

Mexican Americans (MAs) have worse stroke outcomes and a different profile of multiple chronic conditions (MCC) compared with non-Hispanic White people. MCC has implications for stroke treatment, complications, and poststroke care, which impact poststroke functional outcome (FO). We sought to assess the contribution of MCC to the ethnic difference in FO at 90 days between MAs and non-Hispanic White people.

METHODS

In a prospective cohort of ischemic stroke patients (2008-2016) from Nueces County, Texas, data were collected from patient interviews, medical records, and hospital discharge data. MCC was assessed using a stroke-specific and function-relevant index (range, 0-35; higher scores greater MCC burden). Poststroke FO was measured by an average score of 22 activities of daily living (ADLs) and instrumental ADLs at 90 days (range, 1-4; higher scores worse FO). The contribution of MCC to the ethnic difference in FO was assessed using Tobit regression. Effect modification by ethnicity was examined.

RESULTS

Among the 896 patients, 70% were MA and 51% were women. Mean age was 68±12.2 years; 33% of patients were dependent in ADL/instrumental ADLs (FO score >3, representing a lot of difficulty with ADL/instrumental ADLs) at 90 days. MAs had significantly higher age-adjusted MCC burden compared with non-Hispanic White people. Patients with high MCC score (at the 75th percentile) on average scored 0.70 points higher in the FO score (indicating worse FO) compared with those with low MCC score (at the 25th percentile) after adjusting for age, initial National Institutes of Health Stroke Scale, and sociodemographic factors. MCC explained 19% of the ethnic difference in FO, while effect modification by ethnicity was not statistically significant.

CONCLUSIONS

MAs had a higher age-adjusted MCC burden, which partially explained the ethnic difference in FO. The prevention and treatment of MCC could potentially mitigate poststroke functional impairment and lessen ethnic disparities in stroke outcomes.

Nursing's Role in Successful Stroke Care Transitions Across the Continuum: From Acute Care Into the Community

Facilitating successful care transitions across settings is a key nursing competency. Although we have achieved improvements in acute stroke care, similar advances in stroke care transitions in the postacute and return to community phases have lagged far behind. In the current delivery system, care transitions are often ineffective and inefficient resulting in unmet needs and high rates of unnecessary complications and avoidable hospital readmissions. Nurses must use evidence-based approaches to prepare stroke survivors and their family caregivers for postdischarge self-management, rehabilitation, and recovery. The purpose of this article is to provide evidence on the important nursing roles in stroke care and transition management across the care continuum, discuss cross-setting issues in stroke care, and provide recommendations to leverage nursing's impact in optimizing outcomes for stroke survivors and their family unit across the continuum. To optimize nursing's influence in facilitating safe, effective, and efficient care transitions for stroke survivors and their family caregivers across the continuum we have the following recommendations (1) establish a system of coordinated and seamless comprehensive stroke care across the continuum and into the community; (2) implement a stroke nurse liaison role that provides consultant case management for the episode of care across all settings/services for improved consistency, communication and follow-up care; (3) implement a validated caregiver assessment tool to systematically assess gaps in caregiver preparedness and develop a tailored caregiver/family care plan that can be implemented to improve caregiver preparedness; (4) use evidence-based teaching and communication methods to optimize stroke survivor/caregiver learning; and (5) use technology to advance stroke nursing care. Nurses must leverage their substantial influence over the health care delivery system to achieve these improvements in stroke care delivery to improve the health and lives of stroke survivors and their families.

The Association of Socioeconomic Status and Discharge Destination with 30-Day Readmission after Ischemic Stroke

OBJECTIVES

This study aimed to explore the association of socioeconomic status and discharge destination with 30-day readmission after ischemic stroke.

MATERIALS AND METHODS

We examined 30-day all-cause readmission among patients hospitalized for ischemic stroke in states of Arkansas, Iowa, and Wisconsin in 2016 and 2017 and New York in 2016 using Healthcare Cost and Utilization Project (HCUP) State Inpatient Databases.

RESULTS

Among the 52301 patients included, 51.1% were female. The 30-day readmission rates were 10.2%, 8.2%, 9.3%, 10.4%, 11.6%, and 11.2% for age group 18-34, 35-44, 45-54, 55-64, 65-74, and ≥75 years, respectively (p<0.001). In Generalized Estimating Equation analysis, patients with Medicare and Medicaid insurance were more likely to be readmitted, compared with private insurance, (adjusted Odds Ratio [aOR] 1.37, 95% CI 1.23-1.53; and aOR 1.26, 95% CI 1.09-1.45, respectively). Patients in the bottom quartile of zip code level median household income had higher 30-day readmission rate (12.4%) than those in the 2nd, 3rd and 4th quartile (10.3%, 10.1%, and 10.7%, respectively, p<0.001). Compared with those discharged home with self-care which had the lowest readmission rate (8.4%), patients who left against medical advice had the highest readmission rate (18.6%; aOR 2.23, 95% CI 1.75-2.83), followed by rehabilitation and skilled nursing facilities (13.2%; aOR 1.33, 95% CI 1.22-1.46), and home with home health care (11.3%, aOR 1.18, 95% CI 1.08-1.28).

CONCLUSIONS

Socioeconomic status and discharged destination affect readmission after stroke. These results provide evidence to inform vulnerable patient population as targets for readmission prevention.

Rationale for a Clinical Trial That Compares Acute Stroke Rehabilitation at Inpatient Rehabilitation Facilities to Skilled Nursing Facilities: Challenges and Opportunities

In the United States, approximately 400,000 patients with acute stroke are discharged annually to inpatient rehabilitation facilities (IRFs) or skilled nursing facilities (SNFs). Typically, IRFs provide time-intensive therapy for an average of 2-3 weeks, whereas SNFs provide more moderately intensive therapy for 4-5 weeks. The factors that influence discharge to an IRF or SNF are multifactorial and poorly understood. The complexity of these factors in combination with subjective clinical indications contributes to large variations in the use of IRFs and SNFs. This has significant financial implications for health care expenditure, given that stroke rehabilitation at IRFs costs approximately double that at SNFs. To control health care spending without compromising outcomes, the Institute of Medicine has stated that policy reforms that promote more efficient use of IRFs and SNFs are critically needed. A major barrier to the formulation of such policies is the highly variable and low-quality evidence for the comparative effectiveness of IRF- vs SNF-based stroke rehabilitation. The current evidence is limited by the inability of observational data to control for residual confounding, which contributes to substantial uncertainty around any magnitude of benefit for IRF- vs SNF-based care. Furthermore, it is unclear which specific patients would receive the most benefit from each setting. A randomized controlled trial addresses these issues, because random treatment allocation facilitates an equitable distribution of measured and unmeasured confounders. We discuss several measurement, practical, and ethical issues of a trial and provide our rationale for design suggestions that overcome some of these issues.

Developing a Predictive Tool for Hospital Discharge Disposition of Patients Poststroke with 30-Day Readmission Validation

After short-term, acute-care hospitalization for stroke, patients may be discharged home or other facilities for continued medical or rehabilitative management. The site of postacute care affects overall mortality and functional outcomes. Determining discharge disposition is a complex decision by the healthcare team. Early prediction of discharge destination can optimize poststroke care and improve outcomes. Previous attempts to predict discharge disposition outcome after stroke have limited clinical validations. In this study, readmission status was used as a measure of the clinical significance and effectiveness of a discharge disposition prediction. Low readmission rates indicate proper and thorough care with appropriate discharge disposition. We used Medicare beneficiary data taken from a subset of base claims in the years of 2014 and 2015 in our analyses. A predictive tool was created to determine discharge disposition based on risk scores derived from the coefficients of multivariable logistic regression related to an adjusted odds ratio. The top five risk scores were admission from a skilled nursing facility, acute heart attack, intracerebral hemorrhage, admission from "other" source, and an age of 75 or older. Validation of the predictive tool was accomplished using the readmission rates. A 75% probability for facility discharge corresponded with a risk score of greater than 9. The prediction was then compared to actual discharge disposition. Each cohort was further analyzed to determine how many readmissions occurred in each group. Of the actual home discharges, 95.7% were predicted to be there. However, only 47.8% of predictions for home discharge were actually discharged home. Predicted discharge to facility had 15.9% match to the actual facility discharge. The scenario of actual discharge home and predicted discharge to facility showed that 186 patients were readmitted. Following the algorithm in this scenario would have recommended continued medical management of these patients, potentially preventing these readmissions.

Determination of Postacute Hospitalization Level of Care

In the United States, we are blessed with many options for postacute care: inpatient rehabilitation facilities, long-term acute care hospitals, skilled nursing facilities, home health agencies, and outpatient rehabilitation. However, choosing the appropriate level of care can be a daunting task. It requires interdisciplinary input and involvement of all stakeholders. The decision should be informed by outcomes data specific to the patient's diagnosis, impairments, and psychosocial supports.

Factors Associated With Accelerated Hospitalization and Re-hospitalization Among Medicare Home Health Patients

Background

Preventing hospitalizations and re-hospitalizations of older adults receiving Medicare home health (HH) services is a key goal for patients and care providers. This study aimed to identify factors related to greater risk of and earlier hospitalizations from HH, a key step in targeting preventive efforts.

Methods

Data come from Medicare mandated start-of-care assessments from 87,780 HH patients served by 132 agencies in 32 states, collected from January 2013 to March 2015. Using parametric accelerated failure time (AFT) survival models, we evaluated the association between key patient and environmental characteristics and the hazard of and time until hospitalization and re-hospitalization.

Results

In total, 15,030 hospitalizations, including 6,539 re-hospitalizations, occurred in the sample within 60 days of start of HH. Factors most strongly associated with substantially greater risk of and earlier hospitalization included male gender, history of hospitalization, polypharmacy, elevated depressive symptoms, greater functional disability, primary diagnoses of heart disease, chronic obstructive pulmonary disease, and urinary tract infection, and government-controlled agency care. In addition to these factors, black race and primary diagnosis of skin wounds were uniquely related to risk of earlier re-hospitalization.

Conclusions

Results suggest that factors collected during routine HH patient assessments can provide important information to predict risk of earlier hospitalization and re-hospitalization among Medicare HH patients. Identified factors can help identify patients at greatest risk of early hospitalization and may be important targets for agencies and care providers to prevent avoidable hospitalizations.

Discharge Patterns for Ischemic and Hemorrhagic Stroke Patients Going From Acute Care Hospitals to Inpatient and Skilled Nursing Rehabilitation

OBJECTIVE

The aim of the study was to explore variation in acute care use of inpatient rehabilitation facilities and skilled nursing facilities rehabilitation after ischemic and hemorrhagic stroke.

DESIGN

A secondary analysis of Medicare claims data linked to inpatient rehabilitation facilities and skilled nursing facilities assessment files (2013-2014) was performed.

RESULTS

The sample included 122,084 stroke patients discharged to inpatient or skilled nursing facilities from 3677 acute hospitals. Of the acute hospitals, 3649 discharged patients with an ischemic stroke (range = 1-402 patients/hospital, median = 15) compared with 1832 acute hospitals that discharged patients with hemorrhagic events (range = 1-73 patients/hospital, median = 4). The intraclass correlation coefficient examined variation in discharge settings attributed to acute hospitals (ischemic intraclass correlation coefficient = 0.318, hemorrhagic intraclass correlation coefficient = 0.176). Patients older than 85 yrs and those with greater numbers of co-morbid conditions were more likely to discharge to skilled nursing facilities. Comparison of self-care and mobility across stroke type suggests that patients with ischemic stroke have higher functional abilities at admission.

CONCLUSIONS

This study suggests demographic and clinical differences among stroke patients admitted for postacute rehabilitation at inpatient rehabilitation facilities and skilled nursing facilities settings. Furthermore, examination of variation in ischemic and hemorrhagic stroke discharges suggests acute facility-level differences and indicates a need for careful consideration of patient and facility factors when comparing the effectiveness of inpatient rehabilitation facilities and skilled nursing facilities rehabilitation.

Postacute Care Setting, Facility Characteristics, and Poststroke Outcomes: A Systematic Review

OBJECTIVES

To synthesize research comparing poststroke health outcomes between patients rehabilitated in skilled nursing facilities (SNFs) and those in inpatient rehabilitation facilities (IRFs) as well as to evaluate relations between facility characteristics and outcomes.

DATA SOURCES

PubMed and CINAHL searches spanned January 1, 1998, to October 6, 2016, and encompassed MeSH and free-text keywords for stroke, IRF/SNF, and study outcomes. Searches were restricted to peer-reviewed research in humans published in English.

STUDY SELECTION

Observational and experimental studies examining outcomes of adult patients with stroke rehabilitated in an IRF or SNF were eligible. Studies had to provide site of care comparisons and/or analyses incorporating facility-level characteristics and had to report ≥1 primary outcome (discharge setting, functional status, readmission, quality of life, all-cause mortality). Unpublished, single-center, descriptive, and non-US studies were excluded. Articles were reviewed by 1 author, and when uncertain, discussion with study coauthors achieved consensus. Fourteen titles (0.3%) were included.

DATA EXTRACTION

The types of data, time period, size, design, and primary outcomes were extracted. We also extracted 2 secondary outcomes (length of IRF/SNF stay, cost) when reported by included studies. Effect measures, modeling approaches, methods for confounding adjustment, and potential confounders were extracted. Data were abstracted by 1 author, and the accuracy was verified by a second reviewer.

DATA SYNTHESIS

Two studies evaluating community discharge, 1 study evaluating the predicted probability of readmission, and 3 studies evaluating all-cause mortality favored IRFs over SNFs. Functional status comparisons were inconsistent. No studies evaluated quality of life. Two studies confirmed increased costs in the IRF versus SNF setting. Although substantial facility variation was described, few studies characterized sources of variation.

CONCLUSIONS

The few studies comparing poststroke outcomes indicated better outcomes (with higher costs) for patients in IRFs versus those in SNFs. Contemporary research on the role of the postacute care setting and its attributes in determining health outcomes should be prioritized to inform reimbursement system reform.

Hospital Discharge Disposition of Stroke Patients in Tennessee

OBJECTIVES

Early determination of hospital discharge disposition status at an acute admission is extremely important for stroke management and the eventual outcomes of patients with stroke. We investigated the hospital discharge disposition of patients with stroke residing in Tennessee and developed a predictive tool for clinical adoption. Our investigational aims were to evaluate the association of selected patient characteristics with hospital discharge disposition status and predict such status at the time of an acute stroke admission.

METHODS

We analyzed 127,581 records of patients with stroke hospitalized between 2010 and 2014. Logistic regression was used to generate odds ratios with 95% confidence intervals to examine the factor outcome association. An easy-to-use clinical predictive tool was built by using integer-based risk scores derived from coefficients of multivariable logistic regression.

RESULTS

Among the 127,581 records of patients with stroke, 86,114 (67.5%) indicated home discharge and 41,467 (32.5%) corresponded to facility discharge. All considered patient characteristics had significant correlations with hospital discharge disposition status. Patients were at greater odds of being discharged to another facility if they were women; older; black; patients with a subarachnoid or intracerebral hemorrhage; those with the comorbidities of diabetes mellitus, heart disease, hypertension, chronic kidney disease, arrhythmia, or depression; those transferred from another hospital; or patients with Medicare as the primary payer. A predictive tool had a discriminatory capability with area under the curve estimates of 0.737 and 0.724 for derivation and validation cohorts, respectively.

CONCLUSIONS

Our investigation revealed that the hospital discharge disposition pattern of patients with stroke in Tennessee was associated with the key patient characteristics of selected demographics, clinical indicators, and insurance status. These analyses resulted in the development of an easy-to-use predictive tool for early determination of hospital discharge disposition status.

Exploring the predictors of early readmission to psychiatric hospital

BACKGROUND

Aims of this study are to explore the associations of readmission to psychiatric hospital over time, to develop a statistical model for early readmission to psychiatric hospital and to assess the feasibility of predicting early readmission.

METHOD

The sample comprised 7891 general psychiatric discharges in South London, taken from a large anonymised repository of electronic patient records. We initially explored time to readmission using Cox regression - this included investigation of time-dependent effects. Subsequently, we used logistic regression to create a predictive model for 90-day readmission. We investigated the effect on readmission of a set of variables that included demographic variables, diagnosis and legal status during the index admission, previous service use, housing variables and individual item scores on the Health of the Nation Outcome Scales (HoNOS) at admission and at discharge.

RESULTS

Fifteen per cent of those discharged were readmitted within 90 days. Cox regression demonstrated that the estimated baseline hazard of readmission declined steeply after discharge and that the effects of several predictors, especially diagnosis, changed over time - most notably, personality disorder was associated with increased readmission relative to schizophrenia at the time of discharge, but did not significantly differ by 1-year postdischarge. In the logistic regression, increased readmission was associated with personality disorder diagnosis; shorter length of the index admission (excepting zero length admissions); number of discharges in the preceding 2 years; and having a high score at discharge on the HoNOS overactive and aggressive behaviour item, cognitive problems item or hallucinations and delusions items. Detention under Section 3 or a forensic section of the Mental Health Act during the index admission was associated with reduced readmission. The coefficient of discrimination for the logistic regression, which is equivalent to r 2, was 0.04 and the estimated area under the receiver operating curve was 0.65.

CONCLUSIONS

The association found between early readmission and personality disorder diagnosis merits further investigation, as does the possible trade-off between reduction in length of stay and increased readmission. Other novel findings such as the associations found with HoNOS item scores also merit replication. As with previous studies, we found that the rate of readmission declines steeply after hospital discharge, so that the period immediately subsequent to discharge is a period of comparatively high risk. However, prediction of early readmission within this high-risk group remains challenging - it seems most likely that many unmeasured influences operate subsequent to the time of discharge.

Characteristics of Mexican American elders admitted to nursing facilities in the United States: data from the Hispanic Established Populations for Epidemiologic Studies of the Elderly (EPESE) study

OBJECTIVES

The purpose of the current study was to describe the factors associated with Mexican American elders in the Southwestern United States who have spent time in a skilled nursing facility (SNF) compared with those who have not.

DESIGN

Data were collected on the Mexican American elders who reported an SNF stay within 10 years of baseline.

PARTICIPANTS

A probability sample of 3050 Mexican American elders from five Southwestern states followed from 1993 to 2005 were examined.

MEASURES

Variables examined included sociodemographics, language of interview, disabilities with instrumental activities of daily living, activities of daily living, self-reported health, cognitive status, and depression.

RESULTS

A total of 78 (3.9%) of 2020 subjects resided in SNFs. Using univariate analyses, older age, English-language interview, poorer cognitive status, and functional disabilities were independently associated with SNF admissions. Logistic regression analyses controlling for age revealed that SNF patients were older (OR = 1.08, P = .001), had an activities of daily living disability (OR = 4.94, P < .001), scored in the depressed range in the Geriatric Depression Scale (OR = 2.72, P = .001), and were more likely to interview in English (OR = 1.95, P = .042), when compared with community counterparts.

CONCLUSIONS

Mexican American elders who resided in an SNF at some point in the previous 10 years were older, and were more likely to be functionally impaired. They also were more likely to prefer English as their primary language, indicating they were more likely to agree to an SNF stay than their Spanish-speaking counterparts.

Decomposing racial and ethnic disparities in the use of postacute rehabilitation care

OBJECTIVE

To determine the degree to which racial and ethnic disparities in the use of postacute rehabilitation care (PARC) are explained by observed characteristics.

DATA SOURCES

State inpatient databases (SIDs) for 2005 and 2006 from four diverse states were used to identify patients with stays for joint replacement, stroke, or hip fracture.

STUDY DESIGN

Our primary outcomes were use of institutional PARC (versus discharge home) and, conditional on discharge to an institution, skilled nursing facility (versus inpatient rehabilitation facility) care. We modified the Oaxaca-Blinder decomposition method to account for the dichotomous outcome and multilevel nature of the data.

DATA COLLECTION/EXTRACTION METHODS

Discharges from the four SIDs were included if the principal diagnosis (stroke, hip fracture) or procedure (joint replacement) was in the sample inclusion criteria.

PRINCIPAL FINDINGS

Observed characteristics explained roughly half of the unadjusted differences in use of institutional PARC. Patient-level factors (clinical, age) were more explanatory of disparities in institutional PARC use, while hospital-level factors were more explanatory of skilled nursing facility versus inpatient rehabilitation facility care.

CONCLUSIONS

Adjustment for characteristics influencing PARC use both mitigated and exacerbated racial/ethnic disparities in use. The degree to which the characteristics explained the disparity varied across conditions and outcomes.

Disparities in postacute rehabilitation care for stroke: an analysis of the state inpatient databases

OBJECTIVE

To determine the extent to which sociodemographic and geographic disparities exist in the use of postacute rehabilitation care (PARC) after stroke.

DESIGN

Cross-sectional analysis of data for 2 years (2005-2006) from the State Inpatient Databases.

SETTING

All short-term acute-care hospitals in 4 demographically and geographically diverse states.

PARTICIPANTS

Individuals (age, ≥45y; mean age, 72.6y) with a primary diagnosis of stroke who survived their inpatient stay (N=187,188). The sample was 52.4% women, 79.5% white, 11.4% black, and 9.1% Hispanic.

INTERVENTIONS

Not applicable.

MAIN OUTCOME MEASURES

(1) Discharge to an institution versus home. (2) For those discharged to home, receipt of home health (HH) versus no HH care. (3) For those discharged to an institution, receipt of inpatient rehabilitation facility (IRF) or skilled nursing facility (SNF) care. Multilevel logistic regression analyses were conducted to identify sociodemographic and geographic disparities in PARC use, controlling for illness severity/comorbid conditions, hospital characteristics, and PARC supply.

RESULTS

Blacks, women, older individuals, and those with lower incomes were more likely to receive institutional care; Hispanics and the uninsured were less likely. Racial minorities, women, older individuals, and those with lower incomes were more likely to receive HH care; uninsured individuals were less likely. Blacks, women, older individuals, the uninsured, and those with lower incomes were more likely to receive SNF versus IRF care. PARC use varied significantly by hospital and geographic location.

CONCLUSIONS

Several sociodemographic and geographic disparities in PARC use were identified.

For-profit hospital status and rehospitalizations at different hospitals: an analysis of Medicare data

BACKGROUND

About one quarter of rehospitalized Medicare patients are admitted to hospitals different from their original hospital. The extent to which this practice is related to for-profit hospital status and affects payments and mortality is unknown.

OBJECTIVE

To describe and examine predictors of and payments for rehospitalization at a different hospital among Medicare patients rehospitalized within 30 days at for-profit and nonprofit or public hospitals.

DESIGN

Cohort study of patients discharged and rehospitalized from January 2005 to November 2006.

SETTING

Medicare fee-for-service hospitals throughout the United States.

PARTICIPANTS

A 5% random national sample of Medicare patients with acute care rehospitalizations within 30 days of discharge (n = 74,564).

MEASUREMENTS

30-day rehospitalizations at different hospitals and total payments or mortality over the subsequent 30 days. Multivariate logistic and quantile regression models included index hospital for-profit status, discharge counts, geographic region, rural-urban commuting area, and teaching status; patient sociodemographic characteristics, disability status, and comorbid conditions; and a measure of risk adjustment.

RESULTS

16 622 patients (22%) in the sample were rehospitalized at a different hospital. Factors associated with increased risk for rehospitalization at a different hospital included index hospitalization at a for-profit, major medical school-affiliated, or low-volume hospital and having a Medicare-defined disability. Compared with patients rehospitalized at the same hospital, patients rehospitalized at different hospitals had higher adjusted 30-day total payments (median additional cost, $1308 per patient; P < 0.001) but no statistically significant differences in 30-day mortality, regardless of index hospital for-profit status.

LIMITATION

The database lacked detailed clinical information about patients and did not include information about specific provider practice motivations or the role of patient choice in hospitalization venues.

CONCLUSION

Rehospitalizations at different hospitals are common among Medicare patients, are more likely among those initially hospitalized at a for-profit hospital, and are related to increased overall payments without improved mortality.

PRIMARY FUNDING SOURCE

University of Wisconsin Hartford Center of Excellence in Geriatrics, National Institutes of Health.

For-profit hospital status and rehospitalizations at different hospitals: an analysis of Medicare data

BACKGROUND

About one quarter of rehospitalized Medicare patients are admitted to hospitals different from their original hospital. The extent to which this practice is related to for-profit hospital status and affects payments and mortality is unknown.

OBJECTIVE

To describe and examine predictors of and payments for rehospitalization at a different hospital among Medicare patients rehospitalized within 30 days at for-profit and nonprofit or public hospitals.

DESIGN

Cohort study of patients discharged and rehospitalized from January 2005 to November 2006.

SETTING

Medicare fee-for-service hospitals throughout the United States.

PARTICIPANTS

A 5% random national sample of Medicare patients with acute care rehospitalizations within 30 days of discharge (n = 74,564).

MEASUREMENTS

30-day rehospitalizations at different hospitals and total payments or mortality over the subsequent 30 days. Multivariate logistic and quantile regression models included index hospital for-profit status, discharge counts, geographic region, rural-urban commuting area, and teaching status; patient sociodemographic characteristics, disability status, and comorbid conditions; and a measure of risk adjustment.

RESULTS

16 622 patients (22%) in the sample were rehospitalized at a different hospital. Factors associated with increased risk for rehospitalization at a different hospital included index hospitalization at a for-profit, major medical school-affiliated, or low-volume hospital and having a Medicare-defined disability. Compared with patients rehospitalized at the same hospital, patients rehospitalized at different hospitals had higher adjusted 30-day total payments (median additional cost, $1308 per patient; P < 0.001) but no statistically significant differences in 30-day mortality, regardless of index hospital for-profit status.

LIMITATION

The database lacked detailed clinical information about patients and did not include information about specific provider practice motivations or the role of patient choice in hospitalization venues.

CONCLUSION

Rehospitalizations at different hospitals are common among Medicare patients, are more likely among those initially hospitalized at a for-profit hospital, and are related to increased overall payments without improved mortality.

PRIMARY FUNDING SOURCE

University of Wisconsin Hartford Center of Excellence in Geriatrics, National Institutes of Health.