Functional Status Across Post-Acute Settings is Associated With 30-Day and 90-Day Hospital Readmissions

ObjectiveTo examine the association between cocalibrated functional scores across post-acute care settings and the subsequent risk of hospital readmission.DesignRetrospective cohort study.Setting and ParticipantsWe analyzed 781,021 fee-for-service Medicare beneficiaries discharged to either inpatient rehabilitation facilities (IRFs), skilled nursing facilities (SNFs), or home health agencies (HHA) after an acute hospital stay for stroke (N = 143,277), lower extremity joint replacements (512,577), and hip/femur fracture (125,167) between January 1, 2013, and August 31, 2014.MeasuresFunctional items from IRF-PAI, MDS, and OASIS were categorized into self-care and mobility domains. We cocalibrated admission functional scores across post-acute settings and divided scores into 4 functional levels using quartiles (Q1-Q4, with Q4 representing the most independent function). The primary outcomes were 30-day and 90-day hospital readmissions (yes/no) after an initial post-acute stay.ResultsPatients who were more dependent in self-care and mobility at the initial post-acute setting were significantly more likely to experience hospital readmission [eg, hazard ratios of 30-day readmission in stroke: 1.54 (95% confidence interval [CI] 1.47-1.61), 1.18 (95% CI 1.14-1.23), and 1.12 (95% CI 1.08-1.16) for Q1, Q2 and Q3, compared to Q4]. We found similar results for risk of 90-day hospital readmission across impairment conditions.Conclusions and ImplicationsPatients who were more functionally dependent at the initial post-acute setting had a higher risk to readmit to the hospitals after discharging from the post-acute setting for 30 and 90 days, compared with patients who were more functionally independent. This finding is consistent across impairment conditions and post-acute settings. Future research should determine effective strategies of maintaining and facilitating functional performance across post-acute settings to optimize long-term patient outcomes.     

Impact of Dementia on Long-Term Hip Fracture Surgery Outcomes: An Electronic Health Record Analysis

ObjectiveOlder adults with dementia are at higher risk for sustaining hip fracture and their long-term health outcomes after surgery are usually worse than those without dementia. Widespread adoption of electronic health records (EHRs) may allow hospitals to better monitor long-term health outcomes in patients with dementia after hospitalization. This study aimed to (1) estimate how dementia influences discharge location, mortality, and readmission 180 days and 1 year after hip fracture surgery in older adults, and (2) demonstrate the feasibility of using selection-bias reduced EHR data for research and long-term health outcomes monitoring.DesignRetrospective observational cohort study using EHRs.Setting and ParticipantsA cohort of 1171 patients over age 65 years who had an initial hip fracture surgery between October 2015 and December 2018 was extracted from EHRs of one health system; 376 of these patients had dementia.MethodsLogistic regression was applied to estimate influences of dementia on discharge disposition and Cox proportional hazards model for mortality. The Fine and Gray regression model was used to analyze readmission, accounting for the competing risk of death. To reduce selection bias in EHRs, inverse probability of treatment weighting using propensity scores was implemented before modeling.ResultsDementia had significant impacts on all outcomes: being discharged to facilities [odds ratio (OR) = 2.11, 95% confidence interval (CI) 1.19–3.74], 180-day mortality [hazard ratio (HR) = 1.69, 95% CI 1.20–2.38], 1-year mortality (HR = 1.78, 95% CI 1.33–2.38), 180-day readmission (HR = 1.62, 95% CI 1.39–1.89), and 1 year readmission (HR = 1.39, 95% CI 1.21–1.58).Conclusions and ImplicationsDementia was a significant risk factor for worse long-term outcomes. The inverse probability of treatment weighting approach can be used to reduce selection bias in EHR data for research and monitoring long-term health outcomes in the target population. Such monitoring could foster collaborations with post-acute and long-term health care services to improve recovery outcomes in patients with dementia after hip fracture surgery.     

Community Factors and Hospital Readmission Rates

Objective

To examine the relationship between community factors and hospital readmission rates.

Data Sources/Study Setting

We 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 Design

We 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 Findings

The 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.     

Disparities of Care for African-Americans and Caucasians with Community-Acquired Pneumonia: A Retrospective Cohort Study

Background  

African-Americans admitted to U.S. hospitals with community-acquired pneumonia (CAP) are more likely than Caucasians to experience prolonged hospital length of stay (LOS), possibly due to either differential treatment decisions or patient characteristics.     

Readmission Patterns Over 90-Day Episodes of Care Among Medicare Fee-for-Service Beneficiaries Discharged to Post-acute Care

Objective

Examine readmission patterns over 90-day episodes of care in persons discharged from hospitals to post-acute settings.

Association between Frequency Domain Heart Rate Variability and Unplanned Readmission to Hospital in Geriatric Patients

Background  

An accurate prediction of unplanned readmission (UR) after discharge from hospital can facilitate physician's decision making processes for providing better quality of care in geriatric patients. The objective of this study was to explore the association of cardiac autonomic functions as measured by frequency domain heart rate variability (HRV) and 14-day UR in geriatric patients.     

Health Care Costs and Utilization Predictions by the Skilled Nursing Facility Readmission Risk Instrument

ObjectivesHealth care providers at hospitals and skilled nursing facilities (SNFs) are increasingly expected to optimize care of post-acute patients to reduce hospital readmissions and contain costs. To achieve these goals, providers need to understand their patients’ risk of hospital readmission and how this risk is associated with health care costs. A previously developed risk prediction model identifies patients’ probability of 30-day hospital readmission at the time of discharge to an SNF. With a computerized algorithm, we translated this model as the Skilled Nursing Facility Readmission Risk (SNFRR) instrument. Our objective was to evaluate the relationship between 30-day health care costs and hospital readmissions according to the level of risk calculated by this model.DesignThis retrospective cohort study used SNFRR scores to evaluate patient data.Setting and ParticipantsThe patients were discharged from Mayo Clinic Rochester hospitals to 11 area SNFs.MethodsWe compared the outcomes of all-cause 30-day standardized direct medical costs and hospital readmissions between risk quartiles based on the distribution of SNFRR scores for patients discharged to SNFs for post-acute care from April 1 through November 30, 2017.ResultsMean 30-day all-cause standardized costs were positively associated with SNFRR score quartiles and ranged from $9199 in the fourth quartile (probability of readmission, 0.27-0.66) to $2679 in the first quartile (probability of readmission, 0.07-0.13) (P ≤ .05). Patients in the fourth SNFRR score quartile had 5.68 times the odds of 30-day hospital readmission compared with those in the first quartile.Conclusions and ImplicationsThe SNFRR instrument accurately predicted standardized direct health care costs for patients on discharge to an SNF and their risk for 30-day hospital readmission. Therefore, it could be used to help categorize patients for preemptive interventions. Further studies are needed to confirm its validity in other institutions and geographic areas.     

Gender Differences in the Rate of 30-Day Readmissions after Percutaneous Coronary Intervention for Acute Coronary Syndrome

Background

It has been reported that women have higher 30-day readmission rates than men after acute coronary syndrome (ACS). However, readmission after percutaneous coronary intervention (PCI) for ACS is a distinct subset of patients in whom gender differences have not been adequately studied.

Does hospital discharge policy influence sick-leave patterns in the case of female breast cancer?

The objective was to investigate how differences among hospitals in the shift from in-patient care to day surgery and a reduced hospital length of stay affect the sick-leave period for female patients surgically treated for breast cancer. All women aged 18-64 who were diagnosed with breast cancer in 2000 were selected from the National Cancer Register and combined with data from the sick-leave database of the National Social Insurance Board and the National Hospital Discharge Register (N = 1834). A multi-factorial model was fitted to the data to investigate how differences in hospital care practice affected the length of sick-leave. The main output measure was the number of sick-leave days after discharge during the year following surgery. The confounders used included age, type of primary surgical treatment, whether or not lymph node dissection was performed, labour-market status, county, and readmission. Women treated with breast-conserving surgery had a 54.7-day (-71.9 < or = CI(95%) < or = -37.5) shorter sick-leave period than those with more invasive surgery. The day-surgery cases had 24.3 (-47.5 < or = CI(95%) < or = -1.1) days shorter sick-leave than those who received overnight care. The effect of the hospital median length of stay (LOS) was U-shaped, suggesting that hospitals with a median LOS that is either short or long are associated with longer sick-leave. In the intermediate range, women treated in hospitals with a median LOS of 2 days had 22 days longer sick-leave than those treated in hospitals with a mean LOS of 3 days. This is possibly a sign of sub-optimising.     

Older rehabilitation patients are at high risk of malnutrition: Evidence from a large Australian database

Background/objectives  

Routine nutrition screening is recommended for all older patients admitted to hospital however data on the prevalence of malnutrition in rehabilitation settings is sparse. This study assessed the nutritional status of older patients admitted to rehabilitation hospitals over a 5 year period and described the association between nutritional status and length of hospital stay (LOS) in this context. The usefulness of a recently revised version of the shortened MNA (MNA-SF) was also investigated.     

Predictors of Rehospitalization Among Elderly Patients Admitted to a Rehabilitation Hospital: The Role of Polypharmacy,Functional Status,and Length of Stay

Objectives

Rehospitalizations for elderly patients are an increasing health care burden. Nonetheless, we have limited information on unplanned rehospitalizations and the related risk factors in elderly patients admitted to in-hospital rehabilitation facilities after an acute hospitalization.

Setting

In-hospital rehabilitation and aged care unit.

Design

Retrospective cohort study.

Participants

Elderly patients 65 years or older admitted to an in-hospital rehabilitation hospital after an acute hospitalization between January 2004 and June 2011.

Measurements

The rate of 30-day unplanned rehospitalization to hospitals was recorded. Risk factors for unplanned rehospitalization were evaluated at rehabilitation admission: age, comorbidity, serum albumin, number of drugs, decline in functional status, delirium, Mini Mental State Examination score, and length of stay in the acute hospital. A multivariable Cox proportional regression model was used to identify the effect of these risk factors for time to event within the 30-day follow-up.

Results

Among 2735 patients, with a median age of 80 years (interquartile range 74–85), 98 (4%) were rehospitalized within 30 days. Independent predictors of 30-day unplanned rehospitalization were the use of 7 or more drugs (hazard ratio [HR], 3.94; 95% confidence interval, 1.62–9.54; P = .002) and a significant decline in functional status (56 points or more at the Barthel Index) compared with the month before hospital admission (HR 2.67, 95% CI: 1.35–5.27; P = .005). Additionally, a length of stay in the acute hospital of 13 days or more carried a twofold higher risk of rehospitalization (HR 2.67, 95% CI: 1.39–5.10); P = .003).

Conclusions

The rate of unplanned rehospitalization was low in this study. Polypharmacy, a significant worsening of functional status compared with the month before acute hospital admission, and hospital length of stay are important risk factors.     

Urgent readmission rates can be used to infer differences in avoidable readmission rates between hospitals

ObjectiveMost of the urgent readmissions are unavoidable. This study developed a method that used observed urgent readmission rates to compare the latent avoidable readmission rates between the two hospitals.Study Design and SettingTo compare two hospitals, we identified all proportions of urgent readmissions deemed avoidable at each hospital making their avoidable readmission rates significantly different. We then calculated the probability that any of these conditions occurred. We applied this method to 25 randomly selected Ontario acute-care hospitals in 2008.ResultsThe hospitals had a median 30-day urgent readmission rate of 10.8% (interquartile [IQR] 9.7–12.8%). The median P-value of the 300 hospital–hospital comparisons for 30-day urgent readmission rate was 0.05 (interquartile range [IQR] 0.0005–0.31). In contrast, the median probability that hospitals with the lower urgent 30-day readmission rate outperformed their comparator hospital with respect to avoidable readmissions was only 0.161 (IQR 0.079–0.274).ConclusionUrgent readmission rates can be used to estimate the probability that avoidable readmission rates differ significantly between the two hospitals. The probability that avoidable readmission rates differ significantly between hospitals is small even when significant differences in urgent 30-day readmission rates exist. Our results show that 30-day urgent readmission rates should be used very cautiously to compare hospital quality of care.     

Functional Status Is Associated With 30-Day Potentially Preventable Readmissions Following Skilled Nursing Facility Discharge Among Medicare Beneficiaries

Objectives

The objectives of this study were to determine the association between patients’ functional status at discharge from skilled nursing facility (SNF) care and 30-day potentially preventable hospital readmissions, and to examine common reasons for potentially preventable readmissions.

Incomplete Home Health Care Referral After Hospitalization Among Medicare Beneficiaries

ObjectivesPatients who are referred to home health care after an acute care hospitalization may not receive home health care, resulting in incomplete home health referrals. This study examines the prevalence of incomplete referrals to home health, defined as not receiving home health care within 7 days after an initial hospital discharge, and investigates the relationship between home health referral completion and patient outcomes.DesignRetrospective cohort study.Setting and ParticipantsMedicare beneficiaries who are discharged from short-term acute care hospitals between October 2015 and December 2016 with a discharge status code on the hospital claim indicating home health care.MethodsPatient characteristics and outcomes were compared between Medicare beneficiaries with complete and incomplete home health referrals after hospital discharge. The outcomes included mortality, readmission rate, and total spending over a 1-year episode following hospitalization. These outcomes were risk-adjusted using patient demographic, socioeconomic, clinical characteristic, hospital characteristic, and state fixed effects.ResultsApproximately 29% of the 724,700 hospitalizations in the analytic dataset had incomplete home health referrals after discharge. The rate of incomplete home health referrals varied among clinical conditions, ranging from 17% among joint/musculoskeletal patients and 38% among digestive/endocrine patients. Risk-adjusted 1-year mortality and readmission rates were 1.4 and 2.4 percentage points lower and total spending was $1053 higher among patients with complete home health referrals as compared with those with incomplete home health referrals after hospital discharge.Conclusions and ImplicationsThe analysis revealed that almost 1 in 3 patients discharged from a hospital with a discharge status of home health does not receive home health care. In addition, complete home health referrals are associated with lower mortality and readmission rates and higher spending. As home health care utilization increases, policymakers should pay attention to the tradeoff between quality and cost when implementing alternative policies and payment models.     

Effects of Postacute Settings on Readmission Rates and Reasons for Readmission Following Total Knee Arthroplasty

Objectives

Examine the effects of postacute discharge setting on unplanned hospital readmissions following total knee arthroplasty (TKA) in older adults.

Variation in 30-Day Readmission Rates from Inpatient Rehabilitation Facilities to Acute Care Hospitals

ObjectivesTo quantify the rate of readmission from inpatient rehabilitation facilities (IRFs) to acute care hospitals (ACHs) during the first 30 days of rehabilitation stay. To measure variation in 30-day readmission rate across IRFs, and the extent that patient and facility characteristics contribute to this variation.DesignRetrospective analysis of an administrative database.Setting and ParticipantsAdult IRF discharges from 944 US IRFs captured in the Uniform Data System for Medical Rehabilitation database between October 1, 2015 and December 31, 2017.MethodsMultilevel logistic regression was used to calculate adjusted rates of readmission within 30 days of IRF admission and examine variation in IRF readmission rates, using patient and facility-level variables as predictors.ResultsThere were a total of 104,303 ACH readmissions out of a total of 1,102,785 IRFs discharges. The range of 30-day readmission rates to ACHs was 0.0%‒28.9% (mean = 8.7%, standard deviation = 4.4%). The adjusted readmission rate variation narrowed to 2.8%‒17.5% (mean = 8.7%, standard deviation = 1.8%). Twelve patient-level and 3 facility-level factors were significantly associated with 30-day readmission from IRF to ACH. A total of 82.4% of the variance in 30-day readmission rate was attributable to the model predictors.Conclusions and ImplicationsFifteen patient and facility factors were significantly associated with 30-day readmission from IRF to ACH and explained the majority of readmission variance. Most of these factors are nonmodifiable from the IRF perspective. These findings highlight that adjusting for these factors is important when comparing readmission rates between IRFs.     

Changes in and predictors of length of stay in hospital after surgery for breast cancer between 1997/98 and 2004/05 in two regions of England: a population-based study

Background  

Decreases in length of stay (LOS) in hospital after breast cancer surgery can be partly attributed to the change to less radical surgery, but many other factors are operating at the patient, surgeon and hospital levels. This study aimed to describe the changes in and predictors of length of stay (LOS) in hospital after surgery for breast cancer between 1997/98 and 2004/05 in two regions of England.     

Not All Falls Are Equal: Risk Factors for Unplanned Readmission in Older Patients After Moderate and Severe Injury—A National Cohort Study

Objectives

Readmission after acute care is a significant contributor to health care costs, and has been proposed as a quality indicator. Our earlier studies showed that patients aged ≥55 years who are injured by falls from heights of ≤0.5 m were at increased risk for long-term mortality, compared to patients by high-velocity blunt trauma (higher fall heights, road injuries, and other blunt trauma). We hypothesized that these patients are also at higher risk of readmission, compared to patients injured by high-velocity mechanisms.