Can all cause readmission policy improve quality or lower expenditures? A historical perspective on current initiatives

Unplanned 120-Day ED Visits and Readmission Rates Following Common Stone Procedures

OBJECTIVE

To quantify emergency department (ED) visits and hospital admissions (HA) after common urologic stone procedures including ureteroscopy (URS), shockwave lithotripsy (SWL), and percutaneous nephrolithotomy (PCL) which are a concern of payors, providers, and patients.

MATERIALS AND METHODS

This is a retrospective cohort study using claims data from the IBM MarketScan Commercial and Medicare Supplement databases. Adults with a urologic stone diagnosis and no history of stone procedure in prior 12 months who underwent stone procedures between 2012 and 2017 were included. All-cause ED visits and HA were evaluated during 30, 60, 90, and 120-day periods following the index urologic stone procedure.

RESULTS

A total of 166,287 patients were included in the analytic cohort. For inpatient-indexed procedures, cumulative ED visits rates following stone procedure at 120 days was 18.8% for URS, 19.2% for SWL, and 23.6% for PCL. A similar trend was observed with ED visit rates, following outpatient indexed procedures at 120 days with a cumulative rate of 14.2% of SWL patients, 14.9% of URS patients, and 17.3% of PCL. A similar trend was found when examining HA. ED and HA rates increased steadily through the 120-day time period.

CONCLUSION

Rates of ED visits and HA following common stone procedures continue to rise at least up to 120 days following the index procedure whether in the outpatient or inpatient settings. While rates of unplanned care are similar for URS and SWL, patients undergoing PCL return to the hospital at higher rates.

Evaluation, Description and Magnitude of Readmission Phenomenon in Azienda Ospedaliero Universitaria Pisana (AOUP) for Chronic-Degenerative Diseases in the Period 2018-2021

BACKGROUND

Readmissions are hospitalizations following a previous hospitalization (called index hospitalization) of the same patient that occurred in the same facility or nursing home. They may be a consequence of the progression of the natural history of a disease, but they may also reveal a previous suboptimal stay, or ineffective management of the underlying clinical condition. Preventing avoidable readmissions has the potential to improve both a patient's quality of life, by avoiding exposure to the risks of re-hospitalization, and the financial well-being of health care systems.

METHODS

We investigated the magnitude of 30 day repeat hospitalizations for the same Major Diagnostic Category (MDC) in the Azienda Ospedaliero Universitaria Pisana (AOUP) over the period from 2018 to 2021. Records were divided into only admissions, index admissions and repeated admission. The length of the stay of all groups was compared using analysis of variance and subsequent multi-comparison tests.

RESULTS

Results showed a reduction in readmissions over the period examined (from 5.36% in 2018 to 4.46% in 2021), likely due to reduced access to care during the COVID-19 pandemic. We also observed that readmissions predominantly affect the male sex, older age groups, and patients with medical Diagnosis Related Groups (DRGs). The length of stay of readmissions was longer than that of index hospitalization (difference of 1.57 days, 95% CI 1.36-1.78 days, p < 0.001). The length of stay of index hospitalization is longer than that of single hospitalization (difference of 0.62 days, 95% CI 0.52-0.72 days, p < 0.001).

CONCLUSIONS

A patient who goes for readmission thus has an overall hospitalization duration of almost two and a half times the length of the stay of a patient with single hospitalization, considering both index hospitalization and readmission. This represents a heavy use of hospital resources, about 10,200 more inpatient days than single hospitalizations, corresponding to a 30-bed ward working with an occupancy rate of 95%. Knowledge of readmissions is an important piece of information in health planning and a useful tool for monitoring the quality of models of patient care.

Discharge planning from hospital

BACKGROUND

Discharge planning is a routine feature of health systems in many countries that aims to reduce delayed discharge from hospital, and improve the co-ordination of services following discharge from hospital and reduce the risk of hospital readmission. This is the fifth update of the original review.

OBJECTIVES

To assess the effectiveness of planning the discharge of individual patients moving from hospital.

SEARCH METHODS

We searched CENTRAL, MEDLINE, Embase and two trials registers on 20 April 2021. We searched two other databases up to 31 March 2020. We also conducted reference checking, citation searching and contact with study authors to identify additional studies.

SELECTION CRITERIA

Randomised trials that compared an individualised discharge plan with routine discharge that was not tailored to individual participants. Participants were hospital inpatients.

DATA COLLECTION AND ANALYSIS

Two review authors independently undertook data analysis and quality assessment using a pre-designed data extraction sheet. We grouped studies by older people with a medical condition, people recovering from surgery, and studies that recruited participants with a mix of conditions. We calculated risk ratios (RRs) for dichotomous outcomes and mean differences (MDs) for continuous data using fixed-effect meta-analysis. When combining outcome data it was not possible because of differences in the reporting of outcomes, we summarised the reported results for each trial in the text.

MAIN RESULTS

We included 33 trials (12,242 participants), four new trials included in this update. The majority of trials (N = 30) recruited participants with a medical diagnosis, average age range 60 to 84 years; four of these trials also recruited participants who were in hospital for a surgical procedure. Participants allocated to discharge planning and who were in hospital for a medical condition had a small reduction in the initial hospital length of stay (MD - 0.73, 95% confidence interval (CI) - 1.33 to - 0.12; 11 trials, 2113 participants; moderate-certainty evidence), and a relative reduction in readmission to hospital over an average of three months follow-up (RR 0.89, 95% CI 0.81 to 0.97; 17 trials, 5126 participants; moderate-certainty evidence). There was little or no difference in participant's health status (mortality at three- to nine-month follow-up: RR 1.05, 95% CI 0.85 to 1.29; 8 trials, 2721 participants; moderate certainty) functional status and psychological health measured by a range of measures, 12 studies, 2927 participants;  low certainty evidence). There was some evidence that satisfaction might be increased for patients (7 trials), caregivers (1 trial) or healthcare professionals (2 trials) (very low certainty evidence). The cost of a structured discharge plan compared with routine discharge is uncertain (7 trials recruiting 7873 participants with a medical condition; very low certainty evidence).

AUTHORS' CONCLUSIONS

A structured discharge plan that is tailored to the individual patient probably brings about a small reduction in the initial hospital length of stay and readmissions to hospital for older people with a medical condition, may slightly increase patient satisfaction with healthcare received. The impact on patient health status and healthcare resource use or cost to the health service is uncertain.

High-frequency hospital users: The tail that wags the readmissions dog

OBJECTIVE

To describe the characteristics of high-frequency hospital users (four or more hospitalizations in a year) and the consequences of including or excluding their data from a readmission-based measure.

DATA SOURCES

2015 and 2016 Massachusetts Medicaid data.

STUDY DESIGN

We compare demographics, morbidity burden, and social risk factors for high- and low-frequency hospital users, and membership in 17 accountable care organizations. We evaluate how excluding hospitalizations of high-frequency users from a 30-day readmission measure (with or without risk adjustment) changes its rate and variability and affects performance rankings of accountable care organizations. The outcome is readmission within 30 days; each live discharge from a hospital contributes one observation.

DATA COLLECTION/EXTRACTION METHODS

We studied 74 706 hospitalizations of 42 794 MassHealth members, 18-64 years old, managed-care-eligible, and ever hospitalized in 2016.

PRINCIPAL FINDINGS

Among adult managed-care-eligible MassHealth members with at least one acute hospitalization, 8.7% were high-frequency hospital users; they contributed 30.2% of hospitalizations and 69.4% of readmissions. High-frequency users were more often male (77.1% vs. 50.0%; P < 0.001) and sicker (mean medical morbidity score was 3.3 vs. 1.9; P < 0.001) than others. They also had significant social risks: 33.1% with housing problems, 44.1% disabled, 83.2% with serious mental illness, and 77.1% with substance abuse disorder (vs. 22.0%, 27.3%, 60.2%, and 50.0%, respectively, for other hospital users [all P values <0.001]). Fully 50.7% of hospitalizations for high-frequency users led to 30-day readmissions (vs. 9.7%), contributing 72.0% of the variance in 30-day readmission, and substantially affecting judgments about the relative performance of accountable care organizations.

CONCLUSIONS

A small group of high-frequency hospital users have a disproportionate effect on 30-day readmission rates. This negatively affects some Medicaid ACOs, and more broadly is likely to adversely affect safety net hospitals. How these metrics are used should be reconsidered in this context.

Association of cardiovascular disease with 30-day hospital readmission in Chinese patients receiving maintenance dialysis

Background

Previous studies have shown cardiovascular disease (CVD) to be a risk factor in the prediction of 30-day hospital readmission among patients receiving dialysis. However, studies of Asian populations are limited. In the present study, we examined the association between CVD and 30-day hospital readmission in Chinese patients receiving maintenance dialysis.

Methods

Patients receiving maintenance dialysis were identified by searching a national claims database, the China Health Insurance Research Association (CHIRA) database, using the International Classification of Diseases revision 10 (ICD-10) and items of medical service claims. Patients aged ≥18 years who were discharged after index hospitalization between January 2015 and December 2015 were included in our retrospective analysis. CVD-related diagnoses were divided into three categories: coronary heart disease (CHD), heart failure (HF), and stroke. Thirty-day hospital readmission was defined as any hospital readmission within the 30 days following discharge. Logistic regression models adjusted for logit of propensity scores (PS) were used to assess the association of CVD with 30-day hospital readmission.

Results

Of 4,700 patients receiving dialysis, the 30-day hospital readmission rate was 10.4%. Compared with patients without CVD, there was an increased risk of 30-day hospital readmission among maintenance dialysis patients with total CVD [odds ratio (OR): 1.33, 95% confidence interval (CI): 1.06–1.66]. Patients with HF (OR: 1.77, CI: 1.27–2.47) and stroke (OR: 2.14, 95% CI: 1.53–2.98) had a greater risk of 30-day hospital readmission. The fully adjusted OR of CHD for the risk of 30-day hospital readmission was 1.22 (95% CI: 0.97–1.55).

Conclusions

CVDs, especially stroke and HF, are independent predictors of 30-day hospital readmission in Chinese patients receiving dialysis, and could help to guide interventions to improve the quality of care for these patients.

Effects of introducing a fee for inpatient overstays on the rate of death and readmissions across municipalities in Norway

The Norwegian healthcare coordination reform (Samhandlingsreformen) was implemented from January 1, 2012. In addition to providing municipalities with funding to strengthen their health infrastructure, it required municipalities to pay hospitals a daily fee for patients who, having been declared ready for discharge and in need of municipal health services, were not received by the municipalities on time. This study examines the effects of the reform on the rate of death and readmissions occurring within 60 days of hospitalization. We use aggregated municipal data for years 2009, 2010, 2012-2014 (N = 1646) for Norwegian patients (age 18+) hospitalized in the same years for COPD/asthma, heart failure, hip fracture, and stroke. We stratify our analyses of the municipal data by these patient groups. Our linear regression models test for moderated (interaction) effects whereby associations between the reform and the rate of death and readmissions vary by whether or not patients were classified as ready for discharge and in need of follow-up care in the municipality. The models adjust for municipal sociodemographic and health characteristics. We found no statistically significant moderated effects of the reform across the patient groups, except for patients with stroke (b = .027, SE = 0.109, p < .05). Specifically, compared to the pre-reform period (2009-2010), the post-reform period (2012-2014) was associated with a higher rate of readmissions at high predicted values of needing follow-up care. Even though our analyses of municipal data suggest that patients with stroke are vulnerable to the reform and its incentive scheme, there is no strong evidence overall to suggest that the Norwegian healthcare coordination reform is functioning in a manner that exacerbates the risk of death and readmissions.

Assessment of the Medicare Advantage Risk Adjustment Model for Measuring Veterans Affairs Hospital Performance

IMPORTANCE

Policymakers and consumers are eager to compare hospitals on performance metrics, such as surgical complications or unplanned readmissions, measured from administrative data. Fair comparisons depend on risk adjustment algorithms that control for differences in case mix.

OBJECTIVE

To examine whether the Medicare Advantage risk adjustment system version 21 (V21) adequately risk adjusts performance metrics for Veterans Affairs (VA) hospitals.

DESIGN, SETTING, AND PARTICIPANTS

This cohort analysis of administrative data from all 5.5 million veterans who received VA care or VA-purchased care in 2012 was performed from September 8, 2015, to October 22, 2018. Data analysis was performed from January 22, 2016, to October 22, 2018.

EXPOSURES

A patient's risk as measured by the V21 model.

MAIN OUTCOMES AND MEASURES

The main outcome was total cost, and the key independent variable was the V21 risk score.

RESULTS

Of the 5 472 629 VA patients (mean [SD] age, 63.0 [16.1] years; 5 118 908 [93.5%] male), the V21 model identified 694 706 as having a mental health or substance use condition. In contrast, a separate classification system for psychiatric comorbidities identified another 1 266 938 patients with a mental health condition. The V21 model missed depression not otherwise specified (396 062 [31.3%]), posttraumatic stress disorder (345 338 [27.3%]), and anxiety (129 808 [10.2%]). Overall, the V21 model underestimated the cost of care by $2314 (6.7%) for every person with a mental health diagnosis.

CONCLUSIONS AND RELEVANCE

The findings suggest that current aspirations to engender competition by comparing hospital systems may not be appropriate or fair for safety-net hospitals, including the VA hospitals, which treat patients with complex psychiatric illness. Without better risk scores, which is technically possible, outcome comparisons may potentially mislead consumers and policymakers and possibly aggravate inequities in access for such vulnerable populations.

Risk factors for 30-day readmission after adrenalectomy

BACKGROUND

Readmissions represent a substantial burden to the health care system. Risk factors for 30-day readmission after adrenalectomy were examined.

METHODS

Patients who underwent adrenalectomy were selected from the American College of Surgeons National Surgical Quality Improvement Program database from 2011 to 2015.

RESULTS

Among 4,221 patients who underwent adrenalectomy, 216 (5.1%) were readmitted. On multivariate analysis, pre-operative predictive factors associated with readmission were American Society of Anesthesiologists classification (odds ratio [OR] 1.4, confidence interval [CI] 1.1-1.8), disseminated cancer (OR 1.6, CI 1.1-2.5), and adrenal injury (OR 10.9, CI 1.8-68.9). Elective procedures had fewer readmissions (OR 0.50, CI 0.33-0.76). and procedures with greater relative value units had greater readmission rates (OR 1.01, CI 1.004-1.02). An open adrenalectomy (21% of patients) had a higher rate of readmission than a laparoscopic approach (8.0% vs 4.3%, OR 1.5, CI 1.1-2.0). Postoperative risk factors affecting readmission included reoperations (OR 3.2, CI 1.3-8.0), wound complications (OR 6.6, CI 3.8-11.7), systemic infection (OR 6.5, CI 3.9-10.7), renal complications (OR 7.1, CI 2.6-19.2), venous thrombotic events (OR 11.3, CI 5.6-22.6), and discharge to home (OR 0.40, CI 0.22-0.73).

CONCLUSION

Encouraging the appropriate use of laparoscopic adrenalectomy, preventing venous thrombotic events and surgical infections, and improving early post-operative follow-up in high-risk patients may decrease readmissions.

Utility of Mayo Clinic's early screen for discharge planning tool for predicting patient length of stay, discharge destination, and readmission risk in an inpatient oncology cohort

PURPOSE

To examine the feasibility of using the Mayo Clinic's Early Screen for Discharge Planning (ESDP) tool in determining its predictive ability in an inpatient oncology hospital setting for variables including length of stay (LOS), discharge destination, and readmission risk.

METHODS

A prospective observational study was conducted at a metropolitan tertiary cancer centre in Melbourne, Australia. The ESDP score, along with patient outcomes and characteristics, were collected to examine the relationships between positive and negative ESDP scores and patient outcomes.

RESULTS

A total of 136 participants met inclusion criteria for this study. The proportion with positive ESDP scores was greater in those with unplanned hospital admissions compared with planned admissions (χ²(1, n = 136) = 3.94, p = 0.047). The ESDP status was not a significant predictor of oncology hospital LOS (r_pb = 0.116, p = 0.178); however, the ESDP scores did predict discharge destination (χ²(2, n = 136) = 20.22, p < .001). Those re-admitted within 14 days were more likely to have negative ESDP scores than those not readmitted within this time period (χ²(1, n = 136) = 5.22, p = 0.022). Those with positive ESDP scores received a greater number of hospital services whilst admitted than those with negative scores (r_pb = 0.388, p < .001) and were more likely to receive particular types of services.

CONCLUSION

The findings from this study suggest that the ESDP tool could be useful in an adult inpatient oncology population in a hospital with defined specialised hospital discharge planning services (SHDCPS). The ESDP may be beneficial for early identification of service types likely to be required in care and likely discharge destination, both of which can assist discharge planning (DP); however, the ESDP was not useful for predicting LOS or readmission risk in the adult inpatient oncology population without a SHDCPS model in place.

Did case-based payment influence surgical readmission rates in France? A retrospective study

OBJECTIVES

To determine whether implementation of a case-based payment system changed all-cause readmission rates in the 30 days following discharge after surgery, we analysed all surgical procedures performed in all hospitals in France before (2002-2004), during (2005-2008) and after (2009-2012) its implementation.

SETTING

Our study is based on claims data for all surgical procedures performed in all acute care hospitals with >300 surgical admissions per year (740 hospitals) in France over 11 years (2002-2012; n=51.6 million admissions).

INTERVENTIONS

We analysed all-cause 30-day readmission rates after surgery using a logistic regression model and an interrupted time series analysis.

RESULTS

The overall 30-day all-cause readmission rate following discharge after surgery increased from 8.8% to 10.0% (P<0.001) for the public sector and from 5.9% to 8.6% (P<0.001) for the private sector. Interrupted time series models revealed a significant linear increase in readmission rates over the study period in all types of hospitals. However, the implementation of case-based payment was only associated with a significant increase in rehospitalisation rates for private hospitals (P<0.001).

CONCLUSION

In France, the increase in the readmission rate appears to be relatively steady in both the private and public sector but appears not to have been affected by the introduction of a case-based payment system after accounting for changes in care practices in the public sector.

Association Between Medicare's Mandatory Hospital Value-Based Purchasing Program and Cost Inefficiency

BACKGROUND

The Patient Protection and Affordable Care Act instituted pay-for-performance programs, including Hospital Value-Based Purchasing (HVBP), designed to encourage hospital quality and efficiency.

OBJECTIVE AND METHOD

While these programs have been evaluated with respect to their implications for care quality and financial viability, this is the first study to assess the relationship between hospitals' cost inefficiency and their participation in the programs. We estimate a translog specification of a stochastic cost frontier with controls for participation in the HVBP program and clinical and outcome quality for California hospitals for 2012-2015.

RESULTS

The program-participation indicators' parameters imply that participants were more cost inefficient than their peers. Further, the estimated coefficients for summary process of care quality indexes for three health conditions (acute myocardial infarction, pneumonia, and heart failure) suggest that higher quality scores are associated with increased operating costs.

CONCLUSION

The estimated coefficients for the outcome quality variables suggest that future determination of HVBP payment adjustments, which will depend solely on mortality rates as measures of clinical care quality, may not only be aligned with increasing healthcare quality but also reducing healthcare costs.

Hospital Characteristics Associated With Risk-standardized Readmission Rates

BACKGROUND

Safety-net and teaching hospitals are somewhat more likely to be penalized for excess readmissions, but the association of other hospital characteristics with readmission rates is uncertain and may have relevance for hospital-centered interventions.

OBJECTIVE

To examine the independent association of 8 hospital characteristics with hospital-wide 30-day risk-standardized readmission rate (RSRR).

DESIGN

This is a retrospective cross-sectional multivariable analysis.

SUBJECTS

US hospitals.

MEASURES

Centers for Medicare and Medicaid Services specification of hospital-wide RSRR from July 1, 2013 through June 30, 2014 with race and Medicaid dual-eligibility added.

RESULTS

We included 6,789,839 admissions to 4474 hospitals of Medicare fee-for-service beneficiaries aged over 64 years. In multivariable analyses, there was regional variation: hospitals in the mid-Atlantic region had the highest RSRRs [0.98 percentage points higher than hospitals in the Mountain region; 95% confidence interval (CI), 0.84-1.12]. For-profit hospitals had an average RSRR 0.38 percentage points (95% CI, 0.24-0.53) higher than public hospitals. Both urban and rural hospitals had higher RSRRs than those in medium metropolitan areas. Hospitals without advanced cardiac surgery capability had an average RSRR 0.27 percentage points (95% CI, 0.18-0.36) higher than those with. The ratio of registered nurses per hospital bed was not associated with RSRR. Variability in RSRRs among hospitals of similar type was much larger than aggregate differences between types of hospitals.

CONCLUSIONS

Overall, larger, urban, academic facilities had modestly higher RSRRs than smaller, suburban, community hospitals, although there was a wide range of performance. The strong regional effect suggests that local practice patterns are an important influence. Disproportionately high readmission rates at for-profit hospitals may highlight the role of financial incentives favoring utilization.

Rethinking Thirty-Day Hospital Readmissions: Shorter Intervals Might Be Better Indicators Of Quality Of Care

Public reporting and payment programs in the United States have embraced thirty-day readmissions as an indicator of between-hospital variation in the quality of care, despite limited evidence supporting this interval. We examined risk-standardized thirty-day risk of unplanned inpatient readmission at the hospital level for Medicare patients ages sixty-five and older in four states and for three conditions: acute myocardial infarction, heart failure, and pneumonia. The hospital-level quality signal captured in readmission risk was highest on the first day after discharge and declined rapidly until it reached a nadir at seven days, as indicated by a decreasing intracluster correlation coefficient. Similar patterns were seen across states and diagnoses. The rapid decay in the quality signal suggests that most readmissions after the seventh day postdischarge were explained by community- and household-level factors beyond hospitals' control. Shorter intervals of seven or fewer days might improve the accuracy and equity of readmissions as a measure of hospital quality for public accountability.

California safety-net hospitals likely to be penalized by ACA value, readmission, and meaningful-use programs

The Affordable Care Act includes provisions to increase the value obtained from health care spending. A growing concern among health policy experts is that new Medicare policies designed to improve the quality and efficiency of hospital care, such as value-based purchasing (VBP), the Hospital Readmissions Reduction Program (HRRP), and electronic health record (EHR) meaningful-use criteria, will disproportionately affect safety-net hospitals, which are already facing reduced disproportionate-share hospital (DSH) payments under both Medicare and Medicaid. We examined hospitals in California to determine whether safety-net institutions were more likely than others to incur penalties under these programs. To assess quality, we also examined whether mortality outcomes were different at these hospitals. Our study found that compared to non-safety-net hospitals, safety-net institutions had lower thirty-day risk-adjusted mortality rates in the period 2009-11 for acute myocardial infarction, heart failure, and pneumonia and marginally lower adjusted Medicare costs. Nonetheless, safety-net hospitals were more likely than others to be penalized under the VBP program and the HRRP and more likely not to meet EHR meaningful-use criteria. The combined effects of Medicare value-based payment policies on the financial viability of safety-net hospitals need to be considered along with DSH payment cuts as national policy makers further incorporate performance measures into the overall payment system.

Discharge planning from hospital

BACKGROUND

Discharge planning is a routine feature of health systems in many countries. The aim of discharge planning is to reduce hospital length of stay and unplanned readmission to hospital, and to improve the co-ordination of services following discharge from hospital.This is the third update of the original review.

OBJECTIVES

To assess the effectiveness of planning the discharge of individual patients moving from hospital.

SEARCH METHODS

We updated the review using the Cochrane Central Register of Controlled Trials (CENTRAL) (2015, Issue 9), MEDLINE, EMBASE, CINAHL, the Social Science Citation Index (last searched in October 2015), and the US National Institutes of Health trial register (ClinicalTrials.gov).

SELECTION CRITERIA

Randomised controlled trials (RCTs) that compared an individualised discharge plan with routine discharge care that was not tailored to individual participants. Participants were hospital inpatients.

DATA COLLECTION AND ANALYSIS

Two authors independently undertook data analysis and quality assessment using a pre-designed data extraction sheet. We grouped studies according to patient groups (elderly medical patients, patients recovering from surgery, and those with a mix of conditions) and by outcome. We performed our statistical analysis according to the intention-to-treat principle, calculating risk ratios (RRs) for dichotomous outcomes and mean differences (MDs) for continuous data using fixed-effect meta-analysis. When combining outcome data was not possible because of differences in the reporting of outcomes, we summarised the reported data in the text.

MAIN RESULTS

We included 30 trials (11,964 participants), including six identified in this update. Twenty-one trials recruited older participants with a medical condition, five recruited participants with a mix of medical and surgical conditions, one recruited participants from a psychiatric hospital, one from both a psychiatric hospital and from a general hospital, and two trials recruited participants admitted to hospital following a fall. Hospital length of stay and readmissions to hospital were reduced for participants admitted to hospital with a medical diagnosis and who were allocated to discharge planning (length of stay MD - 0.73, 95% CI - 1.33 to - 0.12, 12 trials, moderate certainty evidence; readmission rates RR 0.87, 95% CI 0.79 to 0.97, 15 trials, moderate certainty evidence). It is uncertain whether discharge planning reduces readmission rates for patients admitted to hospital following a fall (RR 1.36, 95% CI 0.46 to 4.01, 2 trials, very low certainty evidence). For elderly patients with a medical condition, there was little or no difference between groups for mortality (RR 0.99, 95% CI 0.79 to 1.24, moderate certainty). There was also little evidence regarding mortality for participants recovering from surgery or who had a mix of medical and surgical conditions. Discharge planning may lead to increased satisfaction for patients and healthcare professionals (low certainty evidence, six trials). It is uncertain whether there is any difference in the cost of care when discharge planning is implemented with patients who have a medical condition (very low certainty evidence, five trials).

AUTHORS' CONCLUSIONS

A discharge plan tailored to the individual patient probably brings about a small reduction in hospital length of stay and reduces the risk of readmission to hospital at three months follow-up for older people with a medical condition. Discharge planning may lead to increased satisfaction with healthcare for patients and professionals. There is little evidence that discharge planning reduces costs to the health service.

Accountability across the Continuum: The Participation of Postacute Care Providers in Accountable Care Organizations

OBJECTIVE

To examine the extent to which accountable care organizations (ACOs) formally incorporate postacute care providers.

DATA SOURCES

The National Survey of ACOs (N = 269, response rate 66 percent).

STUDY DESIGN

We report statistics on ACOs' formal inclusion of postacute care providers and the organizational characteristics and clinical capabilities of ACOs that have postacute care.

PRINCIPAL FINDINGS

Half of ACOs formally include at least one postacute service, with inclusion at higher rates in ACOs with commercial (64 percent) and Medicaid contracts (70 percent) compared to ACOs with Medicare contracts only (45 percent). ACOs that have a formal relationship with a postacute provider are more likely to have advanced transition management, end of life planning, readmission prevention, and care management capabilities.

CONCLUSIONS

Many ACOs have not formally engaged postacute care, which may leave room to improve service integration and care management.

Variations in Performance of Mental Health Providers in the English NHS: An Analysis of the Relationship Between Readmission Rates and Length-of-Stay

Length-of-stay (LOS) for inpatient mental health care is a major driver of variation in resource use internationally. We explore determinants of LOS in England, focusing on the impact of emergency readmission rates which can serve as a measure of the quality of care. Data for 2009/2010 and 2010/2011 are analysed using hierarchical and non-hierarchical models. Unexplained residual variation among providers is quantified using Empirical Bayes techniques. Diagnostic, treatment and patient-level demographic variables are key drivers of LOS. Higher emergency readmission rates are associated with shorter LOS. Ranking providers by residual variation reveals significant differences, suggesting some providers can improve performance.

Rehospitalizations and Emergency Department Visits after Hospital Discharge in Patients Receiving Maintenance Hemodialysis

Clinical outcomes after a hospital discharge are poorly defined for patients receiving maintenance in-center (outpatient) hemodialysis. To describe the proportion and characteristics of these patients who are rehospitalized, visit an emergency department, or die within 30 days after discharge from an acute hospitalization, we conducted a population-based study of all adult patients receiving maintenance in-center hemodialysis who were discharged between January 1, 2003, and December 31, 2011, from 157 acute care hospitals in Ontario, Canada. For patients with more than one hospitalization, we randomly selected a single hospitalization as the index hospitalization. Of the 11,177 patients included in the final cohort, 1926 (17%) were rehospitalized, 2971 (27%) were treated in the emergency department, and 840 (7.5%) died within 30 days of discharge. Complications of type 2 diabetes mellitus were the most common reason for rehospitalization, whereas heart failure was the most common reason for an emergency department visit. In multivariable analysis using a cause-specific Cox proportional hazards model, the following characteristics were associated with 30-day rehospitalization: older age, the number of hospital admissions in the preceding 6 months, the number of emergency department visits in the preceding 6 months, higher Charlson comorbidity index score, and the receipt of mechanical ventilation during the index hospitalization. Thus, a large proportion of patients receiving maintenance in-center hemodialysis will be readmitted or visit an emergency room within 30 days of an acute hospitalization. A focus on improving care transitions from the inpatient setting to the outpatient dialysis unit may improve outcomes and reduce healthcare costs.

Determinants of hospital length of stay for people with serious mental illness in England and implications for payment systems: a regression analysis

BACKGROUND

Serious mental illness (SMI), which encompasses a set of chronic conditions such as schizophrenia, bipolar disorder and other psychoses, accounts for 3.4 m (7 %) total bed days in the English NHS. The introduction of prospective payment to reimburse hospitals makes an understanding of the key drivers of length of stay (LOS) imperative. Existing evidence, based on mainly small scale and cross-sectional studies, is mixed. Our study is the first to use large-scale national routine data to track English hospitals' LOS for patients with a main diagnosis of SMI over time to examine the patient and local area factors influencing LOS and quantify the provider level effects to draw out the implications for payment systems.

METHODS

We analysed variation in LOS for all SMI admissions to English hospitals from 2006 to 2010 using Hospital Episodes Statistics (HES). We considered patients with a LOS of up to 180 days and estimated Poisson regression models with hospital fixed effects, separately for admissions with one of three main diagnoses: schizophrenia; psychotic and schizoaffective disorder; and bipolar affective disorder. We analysed the independent contribution of potential determinants of LOS including clinical and socioeconomic characteristics of the patient, access to and quality of primary care, and local area characteristics. We examined the degree of unexplained variation in provider LOS.

RESULTS

Most risk factors did not have a differential effect on LOS for different diagnostic sub-groups, however we did find some heterogeneity in the effects. Shorter LOS in the pooled model was associated with co-morbid substance or alcohol misuse (4 days), and personality disorder (8 days). Longer LOS was associated with older age (up to 19 days), black ethnicity (4 days), and formal detention (16 days). Gender was not a significant predictor. Patients who self-discharged had shorter LOS (20 days). No association was found between higher primary care quality and LOS. We found large differences between providers in unexplained variation in LOS.

CONCLUSIONS

By identifying key determinants of LOS our results contribute to a better understanding of the implications of case-mix to ensure prospective payment systems reflect accurately the resource use within sub-groups of patients with SMI.

The Financial Effect of Value-Based Purchasing and the Hospital Readmissions Reduction Program on Safety-Net Hospitals in 2014: A Cohort Study

BACKGROUND

Medicare's value-based purchasing (VBP) and the Hospital Readmissions Reduction Program (HRRP) could disproportionately affect safety-net hospitals.

OBJECTIVE

To determine whether safety-net hospitals incur larger financial penalties than other hospitals under VBP and HRRP.

DESIGN

Cross-sectional analysis.

SETTING

United States in 2014.

PARTICIPANTS

3022 acute care hospitals participating in VBP and the HRRP.

MEASUREMENTS

Safety-net hospitals were defined as being in the top quartile of the Medicare disproportionate share hospital (DSH) patient percentage and Medicare uncompensated care (UCC) payments per bed. The differences in penalties in both total dollars and dollars per bed between safety-net hospitals and other hospitals were estimated with the use of bivariate and graphical regression methods.

RESULTS

Safety-net hospitals in the top quartile of each measure were more likely to be penalized under VBP than other hospitals (62.9% vs. 51.0% under the DSH definition and 60.3% vs. 51.5% under the UCC per-bed definition). This was also the case under the HRRP (80.8% vs. 69.0% and 81.9% vs. 68.7%, respectively). Safety-net hospitals also had larger payment penalties ($115 900 vs. $66 600 and $150 100 vs. $54 900, respectively). On a per-bed basis, this translated to $436 versus $332 and $491 versus $314, respectively. Sensitivity analysis setting the cutoff at the top decile rather than the top quartile decile led to similar conclusions with somewhat larger differences between safety-net and other hospitals. The quadratic fit of the data indicated that the larger effect of these penalties is in the middle of the distribution of the DSH and UCC measures.

LIMITATION

Only 2 measures of safety-net status were included in the analyses.

CONCLUSION

Safety-net hospitals were disproportionately likely to be affected under VBP and the HRRP, but most incurred relatively small payment penalties in 2014.

PRIMARY FUNDING SOURCE

Patient-Centered Outcomes Research Institute.