Standardized Readmission Rates Research Articles

Relationship between pediatric intensive care unit length of stay and 24-h unplanned readmission rate.

To evaluate the relationship between pediatric intensive care unit (PICU) severity-adjusted length of stay (LOS) and 24-h unplanned readmission rate. Data were obtained from a 10-year cohort from 2009 to 2018 from the Virtual Pediatric Systems (VPS, LLC) database. In this retrospective study, standardized LOS ratio was computed for each PICU as the ratio of the sum of actual LOS divided by the predicted LOS for each PICU using VPS predictive LOS model. Correlation between standardized LOS ratios and 24-h unplanned readmission rates were computed using Pearson's correlation coefficient. There was practically no relationship between standardized LOS ratio and 24-h readmission rate (R2 =0.05). Not Applicable. Severity-adjusted LOS has no relationship with 24-h unplanned readmission rate. These findings suggest that the relationship between PICU severity-adjusted LOS and 24-h unplanned readmission rate should not be used as a balancing quality measure.

Association of readmission penalty amount with subsequent 30-day risk standardized readmission and mortality rates among patients hospitalized with heart failure: An analysis of get with the guidelines – heart failure participating centers

The Hospital Readmissions Reduction Program penalizes hospitals with excess 30-day risk-standardized readmission rates (RSRR) for heart failure (HF). The association of financial penalty amount with subsequent short-term clinical outcomes is unknown. Patients admitted to American Heart Association Get With The Guidelines-HF registry participating centers from October 1, 2012 through December 1, 2015 who had Medicare-linked data were included. October 2012 hospital-specific penalty amounts were calculated based on diagnosis-related group payments and excess readmission ratios. Adjusted Cox models were created to evaluate the association of penalty amount categories (non-penalized: 0%; low-penalized: >0%-<0.50%; mid-penalized ≥0.50%-<0.99%; high-penalized ≥0.99%) with subsequent 30-day RSRR and risk-standardized mortality rates (RSMR). Trends in post-discharge 30-day RSRR and RSMR from 2012 to 2015 were analyzed across hospitals stratified by penalty amount categories. The present study included 61,329 patients who were admitted across 262 hospitals. Compared with patients admitted to non-penalized hospitals (36.3%), those admitted to increasingly penalized hospitals were more likely to have higher 30-day RSRR (low-penalized [43.9%]: HR, 1.10 [95% CI, 1.04-1.16]; mid-penalized [12.0%]: HR, 1.07 [95% CI, 0.99-1.16]; high-penalized [7.9%]: HR, 1.23 [95% CI, 1.12-1.35]) but not 30-day RSMR. Over time, 30-day RSRR and RSMR did not meaningfully change across penalized versus non-penalized hospitals. Financial penalties based on 30-day RSRR are not associated with declines in 30-day RSRR or RSMR from 2012 to 2015 among patients hospitalized with HF. Financially penalizing hospitals based on current Hospital Readmissions Reduction Program metrics may not incentivize improvements in short-term clinical outcomes for HF.

Longitudinal trajectories of hospital performance across targeted cardiovascular conditions in the USA.

Thirty-day risk standardized readmission and mortality rates (RSRR, RSMR) are key determinants for hospital performance for cardiovascular conditions such as acute myocardial infarction (AMI) and heart failure (HF). We evaluated whether individual hospitals in the USA perform similarly for HF and AMI over time based on readmission and mortality metrics. A total of 1950 hospitals in the USA with continuous participation in the Centers for Medicare and Medicaid Services (CMS) public reporting programme between 2010 and 2016 were identified. Latent mixture modelling was used to define performance trajectory groups. Overall, there were consistent declines in the RSMR (16.1-14.0%) and RSRR (20.3-16.6%) for AMI from 2010 to 2016. For HF, RSRR declined over time (25.1-21.7%), while there was a modest increase in RSMR (11.3-12.0%); parallel findings were observed across performance trajectory groups. The proportion of best performing centres for HF care that were also best performers for AMI care based on the 30-day RSMR and 30-day RSRR metric was 54% and 35%, respectively. Furthermore, the discordance rate between the best and worst performers for both conditions was low (<2% for both 30-day outcomes). In the USA, despite variation in baseline hospital-level outcomes, hospitals had consistent longitudinal trajectories (worsening or improvement) across conditions and metrics. Hospitals identified as high performing were frequently similar across target conditions and over time, suggesting that performance may be driven by systems of care influencing different disease states in a comparable manner.

The 30-day unplanned readmission rate and hospital volume: a national population-based study in South Korea.

To examine the association between hospital volume and the unplanned 30-day readmission rate as a quality measure. A retrospective cross-sectional study. The Korea healthcare system is operated by a single payer under the National Health Insurance Service. Using national health claims data of the Health Insurance Review and Assessment in South Korea, we examined 1 296 275 adult discharges (≥18 years old) from 90 hospitals (≥500 beds) in the 2013 calendar year. We analysed the 30-day, unplanned, observed-to-expected standardized readmission rate for hospitals and for five specialty cohorts: medicine, surgery/gynaecology, cardiovascular, cardiorespiratory, and neurology. We assessed the association between hospital volume by tertiles and the 30-day standardized readmission rates with and without adjustment for hospital characteristics. The rate for the lowest-volume hospitals was 6.10 compared with 6.20 for the highest-volume hospitals. We observed the standardized readmission rates did not differ significantly between the lowest- and highest-volume groups, except for the neurology cohort, which remained significant after adjusting for hospital characteristics. The standardized readmission rates were not associated with hospital volume, except for the neurology cohort, in which the standardized readmission rate was significantly higher in the highest-volume hospitals than in lowest- and intermediate-volume hospitals, which was not consistent with the typical association of greater hospital volume with better outcomes. This association was independent of hospital characteristics. Therefore, the rate of readmissions should be used with caution when gauging the quality of hospital care according to hospital volume.

Comparing Risk Standardized Readmission Rates of Surgical Patients at Safety Net and Non-Safety Net Hospitals

Comparing Risk Standardized Readmission Rates of Surgical Patients at Safety Net and Non-Safety Net Hospitals

The Hospital Readmissions Reduction Program-learning from failure of a healthcare policy.

Heart failure is the leading cause of readmissions in patients aged ≥65 years with high associated societal and economic costs. The utilization metric of 30-day risk standardized readmission rates (RSRRs) has therefore become a target to reduce healthcare costs. In this review, we discuss in detail the implementation, effectiveness, and unintended consequences of the Hospital Readmissions Reduction Program (HRRP)-the major healthcare policy approach in the U.S. to reduce readmissions by financially penalizing hospitals with higher than average 30-day RSRRs. The HRRP was enacted by the Patient Protection and Affordable Care Act of 2010 (popularly known as 'Obamacare'). The public reporting of RSRRs began in June 2009 and the HRRP readmission penalties went into effect starting fiscal year 2013. The policy had limited success in achieving its primary objective of reducing readmissions as the achieved reduction in heart failure readmissions was much smaller (∼9%) than anticipated (∼25%) with some of the reduction in RSRRs attributable to the artifact of administrative upcoding post-HRRP rather than an actual decline in readmissions. From the time of passage of this law, there have been significant concerns regarding gaming of the system such as increase in observation stays, delaying readmissions beyond discharge day 30, and inappropriate triage strategies in emergency departments in order to achieve lower readmission rates to avoid penalties. A series of independent reports have now suggested that implementation of the HRRP was associated with an increase in 30-day, 90-day, and 1-year risk-adjusted heart failure mortality in the U.S. with reversal in decade long trend of declining heart failure mortality. We review the evidence behind effect of the HRRP on readmissions and mortality outcomes as well as discuss various lessons to be learned from the design, implementation, and consequences of this policy.

Variation in rates of ICU readmissions and post-ICU in-hospital mortality and their association with ICU discharge practices

BackgroundVariation in intensive care unit (ICU) readmissions and in-hospital mortality after ICU discharge may indicate potential for improvement and could be explained by ICU discharge practices. Our objective was threefold: (1) describe variation in rates of ICU readmissions within 48 h and post-ICU in-hospital mortality, (2) describe ICU discharge practices in Dutch hospitals, and (3) study the association between rates of ICU readmissions within 48 h and post-ICU in-hospital mortality and ICU discharge practices.MethodsWe analysed data on 42,040 admissions to 82 (91.1%) Dutch ICUs in 2011 from the Dutch National Intensive Care Evaluation (NICE) registry to describe variation in standardized ICU readmission and post-ICU mortality rates using funnel-plots. We send a questionnaire to all Dutch ICUs. 75 ICUs responded and their questionnaire data could be linked to 38,498 admissions in the NICE registry. Generalized estimation equations analyses were used to study the association between ICU readmissions and post-ICU mortality rates and the identified discharge practices, i.e. (1) ICU discharge criteria; (2) bed managers; (3) early discharge planning; (4) step-down facilities; (5) medication reconciliation; (6) verbal and written handover; (7) monitoring of post-ICU patients; and (8) consulting ICU nurses. In all analyses, the outcomes were corrected for patient-related confounding factors.ResultsThe standardized rate of ICU readmissions varied between 0.14 and 2.67 and 20.8% of the hospitals fell outside the 95% control limits and 3.6% outside the 99.8% control limits. The standardized rate of post-ICU mortality varied between 0.07 and 2.07 and 17.1% of the hospitals fell outside the 95% control limits and 4.9% outside the 99.8% control limits. We could not demonstrate an association between the eight ICU discharge practices and rates of ICU readmissions or post-ICU in-hospital mortality. Implementing a higher number of ICU discharge practices was also not associated with better patient outcomes.ConclusionsWe found both variation in patient outcomes and variation in ICU discharge practices between ICUs. However, we found no association between discharge practices and rates of ICU readmissions or post-ICU mortality. Further research is necessary to find factors, which may influence these patient outcomes, in order to improve quality of care.

Association Between Hospitals’ Engagement in Value-Based Reforms and Readmission Reduction in the Hospital Readmission Reduction Program

Medicare is experimenting with numerous concurrent reforms aimed at improving quality and value for hospitals. It is unclear if these myriad reforms are mutually reinforcing or in conflict with each other. To evaluate whether hospital participation in voluntary value-based reforms was associated with greater improvement under Medicare's Hospital Readmission Reduction Program (HRRP). Retrospective, longitudinal study using publicly available national data from Hospital Compare on hospital readmissions for 2837 hospitals from 2008 to 2015. We assessed hospital participation in 3 voluntary value-based reforms: Meaningful Use of Electronic Health Records; the Bundled Payment for Care Initiative episode-based payment program (BPCI); and Medicare's Pioneer and Shared Savings accountable care organization (ACO) programs. We used an interrupted time series design to test whether hospitals' time-varying participation in these value-based reforms was associated with greater improvement in Medicare's HRRP. Thirty-day risk standardized readmission rates for acute myocardial infarction (AMI), heart failure, and pneumonia. Among the 2837 hospitals in this study, participation in value-based reforms varied considerably over the study period. In 2010, no hospitals were participating in the meaningful use, ACO, or BPCI programs. By 2015, only 56 hospitals were not participating in at least 1 of these programs. Among hospitals that did not participate in any voluntary reforms, the association between the HRRP and 30-day readmission was -0.76 percentage points for AMI (95% CI, -0.93 to -0.60), -1.30 percentage points for heart failure (95% CI, -1.47 to -1.13), and -0.82 percentage points for pneumonia (95% CI, -0.97 to -0.67). Participation in the meaningful use program alone was associated with an additional change in 30-day readmissions of -0.78 percentage points for AMI (95% CI, -0.89 to -0.67), -0.97 percentage points for heart failure (95% CI, -1.08 to -0.86), and -0.56 percentage points for pneumonia (95% CI, -0.65 to -0.47). Participation in ACO programs alone was associated with an additional change in 30-day readmissions of -0.94 percentage points for AMI (95% CI, -1.29 to -0.59), -0.83 percentage points for heart failure (95% CI, -1.26 to -0.41), and -0.59 percentage points for pneumonia (95% CI, -1.00 to -0.18). Participation in multiple reforms led to greater improvement: participation in all 3 programs was associated with an additional change in 30-day readmissions of -1.27 percentage points for AMI (95% CI, -1.58 to -0.97), -1.64 percentage points for heart failure (95% CI, -2.02 to -1.26), and -1.05 percentage points for pneumonia (95% CI, -1.32 to -0.78). Hospital participation in voluntary value-based reforms was associated with greater reductions in readmissions. Our findings lend support for Medicare's multipronged strategy to improve hospital quality and value.

Association of hospital volume with readmission rates: a retrospective cross-sectional study

Objective To examine the association of hospital volume (a marker of quality of care) with hospital readmission rates.Design Retrospective cross-sectional study.Setting 4651US acute care hospitals.Study data 6 916 644 adult...

Abstract 28: Readmissions after Carotid Artery Revascularization in the Medicare Population

Introduction: In appropriately selected patients with severe carotid stenosis, carotid revascularization reduces risk of ischemic stroke. Prior clinical research has focused on the efficacy and safety of carotid revascularization, but few investigators have considered readmission as a clinically important outcome. We examined frequency and timing of 30-day readmission following carotid revascularization and assessed differences in 30-day readmission rates between patients undergoing carotid endarterectomy (CEA) and carotid artery stenting (CAS). We also examined whether hospital variation in procedural choice (CEA vs CAS) was associated with differences in hospitals’ risk standardized readmission rates (RSRR). Methods: Medicare administrative claims data were used to identify acute care hospitalizations of CEA and CAS from 2009 to 2011. The outcome of interest was time to first hospital readmission within 30-days of carotid revascularization. Hospitals performing more than 25 carotid interventions were stratified into tertiles by the proportion of CAS cases. RSRRs were derived from hierarchical generalized linear models adjusting for hospital clustering and standardized by unadjusted national readmission rate. Results: Of 180,059 revascularizations from 2,287 hospitals, CEA and CAS were performed in 81.5% and 18.5% of cases, respectively. The unadjusted 30-day readmission rate following carotid revascularization was 9.7% with half of these readmissions occurring by day 9. Crude 30-day readmission rates following CEA and CAS were 9.5% and 10.6%, respectively. In multivariable analysis, risk of readmission after CAS was higher than after CEA (Adjusted OR: 1.13, 95% CI: 1.08 - 1.18, P &lt;0.01). When stratified by tertiles of proportional use of CAS, median 30-day RSRR for hospitals using CAS more frequently were comparable to those of hospitals that used CAS less frequently (Figure 1). Conclusions: Almost 10% of Medicare patients undergoing carotid revascularization were readmitted within 30 days of discharge. Compared with CEA, CAS was associated with higher 30-day readmission rates. However, hospitals’ RSRR did not differ by their proportional use of CAS volume. Efforts to identify readmission risk factors are needed to reduce rates of readmissions following carotid revascularization.

EVALUATION OF QUALITY OF CARE USING REGISTRY DATA: THE INTERRELATIONSHIP BETWEEN LENGTH-OF-STAY, READMISSION AND MORTALITY AND IMPACT ON HOSPITAL OUTCOMES.

IntroductionHospital mortality, readmission and length of stay (LOS) are commonly used measures for quality of care, given availability in administrative data. However, these measures are interrelated. For example, a short...

Frequency, Risk Factors, and Outcomes of Early Unplanned Readmissions to PICUs*

To determine the rate of unplanned PICU readmissions, examine the characteristics of index admissions associated with readmission, and compare outcomes of readmissions versus index admissions. Retrospective cohort analysis. Ninety North American PICUs that participated in the Virtual Pediatric Intensive Care Unit Systems. One hundred five thousand four hundred thirty-seven admissions between July 2009 and March 2011. None. Unplanned PICU readmission within 48 hours of index discharge was the primary outcome. Summary statistics, bivariate analyses, and mixed-effects logistic regression model with random effects for each hospital were performed.There were 1,161 readmissions (1.2%). The readmission rate varied among PICUs (0-3.3%), and acute respiratory (56%), infectious (35%), neurological (28%), and cardiovascular (20%) diagnoses were often present on readmission. Readmission risk increased in patients with two or more complex chronic conditions (adjusted odds ratio, 1.72; p < 0.001), unscheduled index admission (adjusted odds ratio, 1.37; p < 0.001), and transfer to an intermediate unit (adjusted odds ratio, 1.29; p = 0.004, compared with ward). Trauma patients had a decreased risk of readmission (adjusted odds ratio, 0.67; p = 0.003). Gender, race, insurance, age more than 6 months, perioperative status, and nighttime transfer were not associated with readmission. Compared with index admissions, readmissions had longer median PICU length of stay (3.1 vs 1.7 d, p < 0.001) and higher mortality (4% vs 2.5%, p = 0.002). Unplanned PICU readmissions were relatively uncommon, but were associated with worse outcomes. Several patient and admission characteristics were associated with readmission. These data help identify high-risk patient groups and inform risk-adjustment for standardized readmission rates.

Hospital readmission performance and patterns of readmission: retrospective cohort study of Medicare admissions

Objectives To determine whether high performing hospitals with low 30 day risk standardized readmission rates have a lower proportion of readmissions from specific diagnoses and time periods after admission or...

Baby or Bathwater?

Since 2008, the Centers for Medicare and Medicaid Services (CMS) have publicly reported risk standardized 30-day readmission rates for patients hospitalized with heart failure, acute myocardial infarction (AMI), and pneumonia. Over the next few years, the portfolio of readmission measures will expand to include patients with a broad range of medical and surgical conditions.1 Furthermore, under the Hospital Readmissions Reduction Program of the Affordable Care Act, hospitals with higher than average readmission rates will be subject to a payment penalty.2 The stakes are high for hospitals, with millions of dollars of CMS payments at risk, and hospitals are trying to identify and implement effective strategies for reducing readmissions.

Variation in Resource Use and Readmission for Diabetic Ketoacidosis in Children’s Hospitals

We sought to characterize variation in hospital resource utilization and readmission for diabetic ketoacidosis (DKA) across US children's hospitals. The study sample included a retrospective cohort of children aged 2 to 18 years with a diagnosis of DKA at 38 children's hospitals between 2004 and 2009. The main outcomes were resource utilization as determined by total standardized cost per hospitalization, overall and non-ICU length of stay (LOS), and readmission for DKA within 30 and 365 days. There were 24,890 DKA admissions, and 20.3% of these were readmissions within 1 year. The mean hospital-level total standardized cost was $7142 (range $4125-$11,916). The mean hospital-level LOS was 2.5 days (1.5-3.7), and the non-ICU portion was 1.9 days (0.7-2.7). The mean hospital-level readmission within 365 days was 18.7% (6.5%-41.1%) and within 30 days was 2.5% (0.0%-7.1%). Hospital bed days overall, and in particular the non-ICU portion, accounted for the majority of the total standardized cost per hospitalization (overall 57%; non-ICU 36%) and explained most of the variation in resource use. Even after adjusting for difference in patient characteristics across hospitals, widespread differences existed across hospitals in total standardized cost, LOS, and readmission rates (P < .001). Readmission for DKA within a year of hospitalization is common. US children's hospitals vary widely in resource use, hospital LOS, and readmission rates for patients with DKA. Our study highlights the need for additional research to understand these differences and to identify the most cost-effective strategies for managing diabetes across the continuum of care.

Digging Deep

Digging Deep

Variation in Risk-Adjusted Hospital Readmission After Treatment of Appendicitis at 38 Children's Hospitals

To identify risk factors associated with readmission for children treated with appendicitis, and to characterize variation in risk-adjusted readmission rates between children's hospitals. Hospital readmission has been increasingly targeted as a marker for quality of care, yet little is known regarding risk factors associated with readmission or the degree of performance variation that exists between hospitals for this cohort of patients. Retrospective cohort study of 47,866 patients treated at 38 children's hospitals (2006-2010). Multivariate regression was used to examine and adjust for the influence of risk factors on 30-day readmission rates. Hospitals were considered performance outliers if their readmission rate and 95% confidence interval (CI) did not include the overall rate. Factors associated with readmission included disease severity [high vs. low: odds ratio (OR) 4.57, 95% CI: 3.72-5.60; moderate vs. low: OR 2.29, 95% CI: 2.00-2.61] and insurance status (public vs. private: OR 1.14, 95% CI: 1.0-1.29). After adjustment for these factors, the relative decile-based performance rankings changed for 17 (45%) of the 38 hospitals and six (16%) hospitals changed the outlier status based on their standardized readmission rates. A 3.8-fold variation in standardized readmission rates was found across the 38 hospitals after adjustment (overall rate: 8.9%, range: 4.1%-15.4%, P < 0.0001), and 24 (63%) hospitals were identified as outliers (12 low performers and 12 high performers). Significant variation in risk-adjusted readmission rates exists among children's hospitals after treatment of appendicitis, and outliers can be identified at both ends of the performance spectrum. These findings may have important implications for the identification and dissemination of "best practices" from exemplar hospitals.

Abstract 4: The Association Between Admission Rate and 30-Day Risk Standardized Readmission Rate for Heart Failure and Acute Myocardial Infarction

Background: There is wide variation in regional admission and readmission rates and the association between the two is unknown. We sought to determine this association and whether it differs between heart failure (HF) admissions, more discretionary, and acute myocardial infarction (AMI) admissions, less discretionary. Methods: We used 2006-2008 Medicare ICD-9-CM claims data to determine AMI and HF admissions. Hospital referral region (HRR) admission rates were determined using Medicare denominator files. We estimated hospital level 30-day risk standardized readmission rates using hierarchical logistic models adjusting for age, sex and comorbidities and then aggregated them to HRRs level RSRRs. The correlation (R 2 ) obtained by weighted linear regression characterized the relationship between admission rates and RSRRs for AMI and HF. Results: Among 306 HRRs, the median AMI admission was 9.2 per 1000 enrollees (range 2.8 to 26.5) and the median HF admission rate was 19.6 (range 7.6 to 41.4). Among the 306 HRRs, the median AMI RSRR was 0.196 (range 0.163 to 0.233) and the median HF RSRR was 0.242 (range 0.201 to 0.289). Regional AMI admission rate was weakly correlated with AMI RSRR (R 2 0.05, 95% CI 0.02 - 0.11) and HF RSRR (R 2 0.07, 95% CI 0.02 - 0.13). Regional HF admission rate was modestly correlated with both AMI RSRR (R 2 0.28, 95% CI 0.20 - 0.37) and HF RSRR (R 2 0.32, 95% CI 0.24 - 0.41). Conclusion: The modest association between HF admissions, a more discretionary admission condition, and both AMI and HF readmission rates suggest a systemic propensity to admit and readmit patients. In contrast, the same was not true of AMI, a less discretionary admission condition.

Development, validation, and results of a measure of 30‐day readmission following hospitalization for pneumonia

Readmission following hospital discharge has become an important target of quality improvement. To describe the development, validation, and results of a risk-standardized measure of hospital readmission rates among elderly patients with pneumonia employed in federal quality measurement and efficiency initiatives. A retrospective cohort study using hospital and outpatient Medicare claims from 2005 and 2006. A total of 4675 hospitals in the United States. Medicare beneficiaries aged >65 years with a principal discharge diagnosis of pneumonia. None. Hospital-specific, risk-standardized 30-day readmission rates calculated as the ratio of predicted-to-expected readmissions, multiplied by the national unadjusted rate. Comparison of the areas under the receiver operating curve (ROC) and measurement of correlation coefficient in development and validation samples. The development sample consisted of 226,545 hospitalizations at 4675 hospitals, with an overall unadjusted 30-day readmission rate of 17.4%. The median risk-standardized hospital readmission rate was 17.3%, and the odds of readmission for a hospital one standard deviation above average was 1.4 times that of a hospital one standard deviation below average. Performance of the medical record and administrative models was similar (areas under the ROC curve 0.59 and 0.63, respectively) and the correlation coefficient of estimated state-specific standardized readmission rates from the administrative and medical record models was 0.96. Rehospitalization within 30 days of treatment for pneumonia is common, and rates vary across hospitals. A risk-standardized measure of hospital readmission rates derived from administrative claims has similar performance characteristics to one based on medical record review.