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

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Jin Cho ◽  
Krystal Place ◽  
Rebecca Salstrand ◽  
Monireh Rahmat ◽  
Misagh Mansouri ◽  
...  
Keyword(s):  
Medicare Beneficiary ◽  
Skilled Nursing Facility ◽  
Risk Scores ◽  
Healthcare Team ◽  
Readmission Rates ◽  
Predictive Tool ◽  
Nursing Facility ◽  
Skilled Nursing ◽  
Discharge Disposition ◽  
Complex Decision

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.

scholarly journals Association of Partner Status and Disposition With Rehospitalization in Heart Failure Patients

2012 ◽  
Vol 21 (3) ◽  
pp. e65-e73 ◽  
Author(s):  
Jill Howie-Esquivel ◽  
Joan Gygax Spicer
Keyword(s):  
Heart Failure ◽  
Hospital Readmission ◽  
Older Patients ◽  
Skilled Nursing Facility ◽  
Age Group ◽  
Readmission Rates ◽  
Nursing Facility ◽  
Skilled Nursing ◽  
Discharge Disposition ◽  
Patients With Heart Failure

Background Sociodemographic variables that are predictors of rehospitalization for heart failure may better inform hospital discharge strategies. Objectives (1) To determine whether sociodemographic variables are predictors of hospital readmission, (2) to determine whether sociodemographic or laboratory variables differ by age group as predictors of readmission, and (3) to compare whether patients’ discharge disposition differs by age group in predicting readmission. Methods Retrospective chart review of hospitalized patients with heart failure admitted in 2007. Results Mean age was 68 (SD, 17) years for the 809 patients, with slightly more than one-third (n = 311, 38%) reporting a legal partner. Fewer than half (n = 359, 44%) were white. Almost one-third (n = 261, 32%) were rehospitalized within 90 days. Multivariable analysis revealed that patients younger than 65 years old and not partnered were at 1.8 times greater risk for being readmitted 90 days after discharge (P = .02; 95% CI, 0.33–0.92). Patients who were 65 years and older and not partnered were at 2.2 times greater risk for readmission (P = .01; 95% CI, 0.25–0.85) after creatinine level and discharge disposition were controlled for. For older patients discharged to home or to home with home services, the risk of readmission was 2.6 times greater than that for patients discharged to a skilled nursing facility (P = .02; 95% CI, 1.20–5.56). Conclusions The absence of a partner was predictive of readmission in all patients. Older patients with heart failure who were discharged to a skilled nursing facility had lower readmission rates. The effect of partner and disposition status may suggest a proxy for social support. Strategies to provide social support during discharge planning may have an effect on hospital readmission rates.

scholarly journals Thirty-day readmission after endovascular or surgical revascularization for chronic mesenteric ischemia: Insights from the Nationwide Readmissions Database

2019 ◽  
Vol 24 (3) ◽  
pp. 216-223 ◽  
Author(s):  
Fabio V Lima ◽  
Dhaval Kolte ◽  
David W Louis ◽  
Kevin F Kennedy ◽  
J Dawn Abbott ◽  
...  
Keyword(s):  
Mesenteric Ischemia ◽  
Skilled Nursing Facility ◽  
Home Healthcare ◽  
Index Admission ◽  
Chronic Mesenteric Ischemia ◽  
Surgical Revascularization ◽  
Nursing Facility ◽  
Skilled Nursing ◽  
Discharge Disposition ◽  
National Estimates

There are limited contemporary data on readmission after revascularization for chronic mesenteric ischemia (CMI). This study aimed to determine the rates, reasons, predictors, and costs of 30-day readmission after endovascular or surgical revascularization for CMI. Patients with CMI discharged after endovascular or surgical revascularization during 2013 to 2014 were identified from the Nationwide Readmissions Database. The rates, reasons, length of stay, and costs of 30-day all-cause, non-elective, readmission were determined using weighted national estimates. Independent predictors of 30-day readmission were determined using hierarchical logistic regression. Among 4671 patients with CMI who underwent mesenteric revascularization, 19.5% were readmitted within 30 days after discharge at a median time of 10 days. More than 25% of readmissions were for cardiovascular or cerebrovascular conditions, most of which were for peripheral or visceral atherosclerosis and congestive heart failure. Independent predictors of 30-day readmission included non-elective index admission, chronic kidney disease (CKD), and discharge to home healthcare or to a skilled nursing facility. Revascularization modality did not independently predict readmission. In a nationwide, retrospective analysis of patients with CMI undergoing revascularization, approximately one in five were readmitted within 30 days. Predictors were largely non-modifiable and included non-elective index admission, CKD, and discharge disposition.

The Association Between Skilled Nursing Facility Care Quality and 30-Day Readmission Rates After Hospitalization for Heart Failure

2014 ◽  
Vol 30 (3) ◽  
pp. 205-213 ◽  
Author(s):  
Owolabi Ogunneye ◽  
Michael B. Rothberg ◽  
Jennifer Friderici ◽  
Mara T. Slawsky ◽  
Vijay T. Gadiraju ◽  
...  
Keyword(s):  
Heart Failure ◽  
Skilled Nursing Facility ◽  
Care Quality ◽  
Readmission Rates ◽  
Nursing Facility ◽  
Skilled Nursing

Disease management partnership with skilled nursing facility improves heart failure 30-day readmission rates

Heart & Lung ◽  
2015 ◽  
Vol 44 (6) ◽  
pp. 556
Author(s):  
Tasha Beck Freitag ◽  
Sandra Young ◽  
Macall Perez ◽  
Dan Altland ◽  
Tamela Sterner
Keyword(s):  
Heart Failure ◽  
Disease Management ◽  
Skilled Nursing Facility ◽  
Readmission Rates ◽  
Nursing Facility ◽  
Skilled Nursing

scholarly journals RACIAL DISPARITIES IN 30-DAY READMISSION RATES AMONG MEDICARE PATIENTS DISCHARGED TO SKILLED NURSING FACILITIES

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S780-S780
Author(s):  
Maricruz Rivera-Hernandez ◽  
Maricruz Rivera-Hernandez ◽  
Momotazur Rahman ◽  
Vincent Mor ◽  
Amal N Trivedi
Keyword(s):  
Skilled Nursing Facility ◽  
Ethnic Disparities ◽  
Fee For Service ◽  
Nursing Facilities ◽  
Readmission Rates ◽  
Value Based Purchasing ◽  
Nursing Facility ◽  
Data Set ◽  
Skilled Nursing ◽  
American Health Care

Abstract The 30-Day All-Cause Readmission Measure is part of the Skilled Nursing Facility Value-Based Purchasing (SNFVBP) beginning 2019. The objective of the study was to characterize racial and ethnic disparities in 30-day rehospitalization rates from SNF among fee-for-service (FFS) and Medicare Advantage (MA) patients using the Minimum Data Set. The American Health Care Association risk-adjusted model was used. The primary independent variables were race/ethnicity and enrollment in FFS and MA. The sample included 1,813,963 patients from 15,412 SNFs across the US in 2015. Readmission rates were lower for whites. However, MA patients had readmission rates that were ~1 to 2 percentage points lower. In addition, we also found that African-Americans had higher readmission rates than whites, even when they received care within the same SNF. The inclusion of MA patients could change SNF penalties. Successful efforts to reduce rehospitalizations in SNF settings often require improving care coordination and care planning.

scholarly journals Reduction in Hospitals’ Readmission Rates: Role of Hospital-Based Skilled Nursing Facilities

2019 ◽  
Vol 56 ◽  
pp. 004695801881799
Author(s):  
Shivani Gupta ◽  
Ferhat D. Zengul ◽  
Ganisher K. Davlyatov ◽  
Robert Weech-Maldonado
Keyword(s):  
Hospital Readmission ◽  
Fixed Effects ◽  
Skilled Nursing Facility ◽  
Health Resources ◽  
Estimating Equation ◽  
Readmission Rates ◽  
Nursing Facility ◽  
Skilled Nursing ◽  
American Hospital ◽  
American Hospital Association

Hospital readmission within 30 days of discharge is an important quality measure given that it represents a potentially preventable adverse outcome. Approximately, 20% of Medicare beneficiaries are readmitted within 30 days of discharge. Many strategies such as the hospital readmission reduction program have been proposed and implemented to reduce readmission rates. Prior research has shown that coordination of care could play a significant role in lowering readmissions. Although having a hospital-based skilled nursing facility (HBSNF) in a hospital could help in improving care for patients needing short-term skilled nursing or rehabilitation services, little is known about HBSNFs’ association with hospitals’ readmission rates. This study seeks to examine the association between HBSNFs and hospitals’ readmission rates. Data sources included 2007-2012 American Hospital Association Annual Survey, Area Health Resources Files, the Centers for Medicare and Medicaid Services (CMS) Medicare cost reports, and CMS Hospital Compare. The dependent variables were 30-day risk-adjusted readmission rates for acute myocardial infarction (AMI), congestive heart failure, and pneumonia. The independent variable was the presence of HBSNF in a hospital (1 = yes, 0 = no). Control variables included organizational and market factors that could affect hospitals’ readmission rates. Data were analyzed using generalized estimating equation (GEE) models with state and year fixed effects and standard errors corrected for clustering of hospitals over time. Propensity score weights were used to control for potential selection bias of hospitals having a skilled nursing facility (SNF). GEE models showed that the presence of HBSNFs was associated with lower readmission rates for AMI and pneumonia. Moreover, higher SNFs to hospitals ratio in the county were associated with lower readmission rates. These findings can inform policy makers and hospital administrators in evaluating HBSNFs as a potential strategy to lower hospitals’ readmission rates.

Abstract P52: Absence of Dysphagia is a Stronger Predictor of Favorable Discharge Disposition than Stroke Severity: Insights from the UTHSC Houston Stroke Registry

2011 ◽  
Vol 4 (suppl_1) ◽  
Author(s):  
Nneka I Jones ◽  
Nusrat Harun ◽  
Elizabeth Noser ◽  
James Grotta
Keyword(s):  
Skilled Nursing Facility ◽  
Inpatient Rehabilitation ◽  
Stroke Care ◽  
Level Of Care ◽  
Stroke Severity ◽  
Nursing Facility ◽  
Skilled Nursing ◽  
Stroke Registry ◽  
Post Stroke ◽  
Discharge Disposition

Introduction: Dysphagia is one of the most common post-stroke complications. The use of feeding tubes to provide nutrition requires increased acuity of care for management, which affects costs. This care is provided at all levels, including Inpatient Rehabilitation (IR), Skilled Nursing Facility (SNF) or Sub-acute (Sub). There are limited studies of the role of dysphagia as a predictor of post-stroke disposition. Hypothesis: Low NIHSS is a predictor of higher function. We assessed the hypothesis that the absence of tube feeds as an indicator of dysphagia is a predictor of post-stroke disposition to a similar functional level. Methods: All patients admitted to the UT Stroke Service between January 2004 and October 2009 were included. Stratification occurred for age >65, NIHSS and stroke risk factors. Using multivariate logistic regression, the data was analyzed to determine if differences in post-stroke disposition were present among patients not receiving tube feeds as an indicator of dysphagia. Results: Home vs. Other Level of Care Of 3389 patients, 1668 were discharged home, 1721 to another level of care. Patients without tube feeds are 14.6 times more likely to be discharged home (P = <.0001, OR 14.66, 95% CI 8.05 to 26.69) Patients with NIHSS < 8 are 10.9 times more likely to be discharged home. IR vs. SNF Of 1546 patients, 983 were discharged to acute IR, 563 to SNF. Patients without tube feeds are 6.1 times more likely to be discharged to IR (P = <.0001, OR 6.118, 95% CI 4.34 to 8.63). Patients with NIHSS < 8 are 2.5 times more likely to be discharged to IR. SNF vs. Sub Of 738 patients, 563 were discharged to SNF, 175 to Sub. Patients without tube feeds are 3 times more likely to be discharged to SNF (P = <.0001, OR 2.999, 95% CI 2.048 to 4.390). Patients with NIHSS < 8 are 2 times more likely to be discharged to SNF. Conclusions: The absence of tube feeds as an indicator of dysphagia is a predictor of improved post-stroke disposition, with a correlation stronger than NIHSS. This study is limited by its retrospective nature and unmeasured psychosocial factors related to discharge. Prospective studies should focus on early diagnosis, therapeutic intervention and caregiver involvement in dysphagia education to improve outcomes and decrease the cost of post-stroke care.

Discharge disposition to skilled nursing facility after emergent general surgery predicts a poor prognosis

Surgery ◽  
2019 ◽  
Vol 166 (4) ◽  
pp. 489-495 ◽  
Author(s):  
Anghela Z. Paredes ◽  
Azeem T. Malik ◽  
Marcus Cluse ◽  
Scott A. Strassels ◽  
Heena P. Santry ◽  
...  
Keyword(s):  
General Surgery ◽  
Poor Prognosis ◽  
Skilled Nursing Facility ◽  
Nursing Facility ◽  
Skilled Nursing ◽  
Discharge Disposition

scholarly journals Predictors of 30-day readmission after aneurysmal subarachnoid hemorrhage: a case-control study

2016 ◽  
Vol 126 (6) ◽  
pp. 1847-1854 ◽  
Author(s):  
Jacob K. Greenberg ◽  
Ridhima Guniganti ◽  
Eric J. Arias ◽  
Kshitij Desai ◽  
Chad W. Washington ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Subarachnoid Hemorrhage ◽  
Case Control Study ◽  
Aneurysmal Subarachnoid Hemorrhage ◽  
Skilled Nursing Facility ◽  
Case Control ◽  
Nursing Facility ◽  
Skilled Nursing ◽  
Discharge Disposition ◽  
Control Study

OBJECTIVEDespite persisting questions regarding its appropriateness, 30-day readmission is an increasingly common quality metric used to influence hospital compensation in the United States. However, there is currently insufficient evidence to identify which patients are at highest risk for readmission after aneurysmal subarachnoid hemorrhage (SAH). The objective of this study was to identify predictors of 30-day readmission after SAH, to focus preventative efforts, and to provide guidance to funding agencies seeking to risk-adjust comparisons among hospitals.METHODSThe authors performed a case-control study of 30-day readmission among aneurysmal SAH patients treated at a single center between 2003 and 2013. To control for geographic distance from the hospital and year of treatment, the authors randomly matched each case (30-day readmission) with approximately 2 SAH controls (no readmission) based on home ZIP code and treatment year. They evaluated variables related to patient demographics, socioeconomic characteristics, comorbidities, presentation severity (e.g., Hunt and Hess grade), and clinical course (e.g., need for gastrostomy or tracheostomy, length of stay). Conditional logistic regression was used to identify significant predictors, accounting for the matched design of the study.RESULTSAmong 82 SAH patients with unplanned 30-day readmission, the authors matched 78 patients with 153 nonreadmitted controls. Age, demographics, and socioeconomic factors were not associated with readmission. In univariate analysis, multiple variables were significantly associated with readmission, including Hunt and Hess grade (OR 3.0 for Grade IV/V vs I/II), need for gastrostomy placement (OR 2.0), length of hospital stay (OR 1.03 per day), discharge disposition (OR 3.2 for skilled nursing vs other disposition), and Charlson Comorbidity Index (OR 2.3 for score ≥ 2 vs 0). However, the only significant predictor in the multivariate analysis was discharge to a skilled nursing facility (OR 3.2), and the final model was sensitive to criteria used to enter and retain variables. Furthermore, despite the significant association between discharge disposition and readmission, less than 25% of readmitted patients were discharged to a skilled nursing facility.CONCLUSIONSAlthough discharge disposition remained significant in multivariate analysis, most routinely collected variables appeared to be weak independent predictors of 30-day readmission after SAH. Consequently, hospitals interested in decreasing readmission rates may consider multifaceted, cost-efficient interventions that can be broadly applied to most if not all SAH patients.

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