Potentially Preventable Readmissions Research Articles

Clinical characteristics and risk factors of preventable hospital readmissions within 30 days

Knowledge regarding preventable hospital readmissions is scarce. Our aim was to compare the clinical characteristics of potentially preventable readmissions (PPRs) with non-PPRs. Additionally, we aimed to identify risk factors for PPRs. Our study included readmissions within 30 days after discharge from 1 of 7 hospital departments. Preventability was assessed by multidisciplinary meetings. Characteristics of the readmissions were collected and 23 risk factors were analyzed. Of the 1120 readmissions, 125 (11%) were PPRs. PPRs occurred equally among different departments (p = 0.21). 29.6% of PPRs were readmitted by a practitioner of a different medical specialty than the initial admission (IA) specialist. The PPR group had more readmissions within 7 days (PPR 54% vs. non-PPR 44%, p = 0.03). The median LOS was 1 day longer for PPRs (p = 0.16). Factors associated with PPR were higher age (p = 0.004), higher socio-economic status (p = 0.049), fewer prior hospital admissions (p = 0.004), and no outpatient visit prior to readmission (p = 0.025). This study found that PPRs can occur at any department in the hospital. There is not a single type of patient that can easily be pinpointed to be at risk of a PPR, probably due to the multifactorial nature of PPRs.

Targeting zero preventable trauma readmissions.

Nearly 1-in-10 trauma patients in the United States are readmitted within 30 days of discharge, with a median hospital cost of more than $8,000 per readmission. There are national efforts to reduce readmissions in trauma care, but we do not yet understand which are potentially preventable. Our study aims to quantify the potentially preventable readmissions (PPRs) in trauma care to serve as the anchor point for ongoing efforts to curb hospital readmissions and ultimately, bring preventable readmissions to zero. We identified inpatient hospitalizations after trauma and readmissions within 90 days in the 2017 National Readmissions Database (NRD). Potentially preventable readmissions were defined as the Agency for Healthcare Research and Quality-defined Ambulatory Care Sensitive Conditions, in addition to superficial surgical site infection, acute kidney injury/acute renal failure, and aspiration pneumonitis. Mean costs for these admissions were calculated using the NRD. A multivariable logistic regression model was used to characterize the relationship between patient characteristics and PPR. A total of 1,320,083 patients were admitted for trauma care in the 2017 NRD, and 137,854 (10.4%) were readmitted within 90 days of discharge. Of these readmissions, 22.7% were potentially preventable. The mean cost was $10,001/PPR, resulting in $313,802,278 in cost to the US health care system. Of readmitted trauma patients younger than 65 years, Medicaid or Medicare patients had 2.7-fold increased odds of PPRs compared with privately insured patients. Patients of any age with congestive heart failure had 2.9 times increased odds of PPR, those with chronic obstructive pulmonary disease or complicated diabetes mellitus had 1.8 times increased odds, and those with chronic kidney disease had 1.7 times increased odds. Furthermore, as the days from discharge increased, the proportion of readmissions due to PPRs increased. One-in-five trauma readmissions are potentially preventable, which account for more than $300 million annually in health care costs. Improved access to postdischarge ambulatory care may be key to minimizing PPRs, especially for those with certain comorbidities. Economic and value-based evaluations, level II.

30-day readmission after TAVR (Transcatheter Aortic Valve Replacement (TAVR) in patients with malignancy.

e18620 Background: Hospital readmissions after cardiac procedures are increasingly the major focus of quality improvement efforts. Although some reflect appropriate care, others are potentially preventable readmissions (PPRs). We aim to describe the burden, timing, and factors associated with readmissions after transcatheter aortic valve replacement (TAVR) in patients with malignancy. Methods: We performed a retrospective study of the 2017 National Readmission Database (NRD) of adult patients readmitted within 30 days after an index admission for TAVR with a concomitant diagnosis of malignancy. We aimed to identify 30-day readmission rate, mortality, healthcare related utilization of resources and other independent predictors of readmission. Results: A total of 2,213 patients with malignancy underwent TAVR. The 30-days readmission rate was 16% (n=355). Main causes of readmissions were found to be heart failure, sepsis, acute hypercapnic respiratory failure, coronary artery disease with angina, and AKI with ATN. Readmitted patients were more likely to come from small metropolitan areas (43.1% vs 33.6, p≤0.01), micropolitan areas (1.4% vs 0.35%, p≤0.01), rural hospital (20.3% vs 8.8%, p≤0.01), non-teaching hospital (23.5% vs 9.1%, p≤0.01), and small sized hospitals (11.5% vs 4%, p≤0.01). Patients re-admitted were more likely to have malnutrition (8% vs 3.2%, p≤0.01), new VTEs (3.8% vs 0.6, p≤0.01), AKI (26% vs 13.6%, p≤0.01) and deaths (4.6% vs 1.7%, p≤0.01). The total health care in-hospital economic burden of readmission was $5.9 million in total charges and $25 million in total costs. Independent predictors of readmission were disposition to short-term skilled nursing facilities, home-health care, and sepsis. Conclusions: We concluded that readmissions after TAVR in patients with malignancy are associated with higher in-hospital mortality rate and pose a higher health care burden. We also identified risk factors that can be targeted to decrease readmissions after TAVR, health care burden, and patient mortality.[Table: see text]

Assessment of Potentially Preventable Hospital Readmissions After Major Surgery and Association With Public vs Private Health Insurance and Comorbidities

Rehospitalization after major surgery is common and represents a significant cost to the health care system. Little is known regarding the causes of these readmissions and the degree to which they may be preventable. To evaluate the degree to which readmissions after major surgery are potentially preventable. This retrospective cohort study used a weighted sample of 1 937 354 patients from the 2017 National Readmissions Database to evaluate all adult inpatient hospitalizations for 1 of 7 common major surgical procedures. Statistical analysis was performed from January 14 to November 30, 2020. The study calculated 90-day readmission rates as well as rates of readmissions that were considered potentially preventable. Potentially preventable readmissions (PPRs) were defined as those with a primary diagnosis code for superficial surgical site infection, acute kidney injury, aspiration pneumonitis, or any of the Agency for Healthcare Research and Quality-defined ambulatory care sensitive conditions. Multivariable logistic regression was used to identify factors associated with PPRs. A total weighted sample of 1 937 354 patients (1 048 046 women [54.1%]; mean age, 66.1 years [95% CI, 66.0-66.3 years]) underwent surgical procedures; 164 755 (8.5%) experienced a readmission within 90 days. Potentially preventable readmissions accounted for 29 321 (17.8%) of all 90-day readmissions, for an estimated total cost to the US health care system of approximately $296 million. The most common reasons for PPRs were congestive heart failure exacerbation (34.6%), pneumonia (12.0%), and acute kidney injury (22.5%). In a multivariable model of adults aged 18 to 64 years, patients with public health insurance (Medicare or Medicaid) had more than twice the odds of PPR compared with those with private insurance (adjusted odds ratio, 2.09; 95% CI, 1.94-2.25). Among patients aged 65 years or older, patients with private insured had 18% lower odds of PPR compared with patients with Medicare as the primary payer (adjusted odds ratio, 0.82; 95% CI, 0.74-0.90). This study suggests that nearly 1 in 5 readmissions after surgery are potentially preventable and account for nearly $300 million in costs. In addition to better inpatient care, improved access to ambulatory care may represent an opportunity to reduce costly readmissions among surgical patients.

Use of a Computerized Algorithm to Evaluate the Proportion and Causes of Potentially Preventable Readmissions Among Patients Discharged to Skilled Nursing Facilities

ObjectivesOlder patients discharged to skilled nursing facilities (SNFs) for post-acute care are at high risk for hospital readmission. Yet, as in the community setting, some readmissions may be preventable with optimal transitional care. This study examined the proportion of 30-day hospital readmissions from SNFs that could be considered potentially preventable readmissions (PPRs) and evaluated the reasons for these readmissions. DesignRetrospective cohort study. Setting and ParticipantsPost-acute practice of an integrated health care delivery system serving 11 SNFs in the US Midwest. Patients discharged from the hospital to an SNF and subsequently readmitted to the hospital within 30 days from January 1, 2009, through November 31, 2016. MethodsA computerized algorithm evaluated the relationship between initial and repeat hospitalizations to determine whether the repeat hospitalization was a PPR. We assessed for changes in PPR rates across the system over the study period and evaluated the readmission categories to identify the most prevalent PPR categories. ResultsOf 11,976 discharges to SNFs for post-acute care among 8041 patients over the study period, 16.6% resulted in rehospitalization within 30 days, and 64.8% of these rehospitalizations were considered PPRs. Annual proportion of PPRs ranged from 58.2% to 66.4% [mean (standard deviation) 0.65 (0.03); 95% confidence interval CI 0.63-0.67; P = .36], with no discernable trend. Nearly one-half (46.2%) of all 30-day readmissions were classified as potentially preventable medical readmissions related to recurrence or continuation of the reason for initial admission or to complications from the initial hospitalization. Conclusions and ImplicationsFor this cohort of patients discharged to SNFs, a computerized algorithm categorized a large proportion of 30-day hospital readmissions as potentially preventable, with nearly one-half of those linked to the reason for the initial hospitalization. These findings indicate the importance of improvement in postdischarge transitional care for patients discharged to SNFs.

Preventability of unplanned readmissions within 30 days of discharge.A cross-sectional, single-center study.

To identify the preventability, determinants and causes of unplanned hospital readmissions within 30 days of discharge using a multidisciplinary approach and including patients' perspectives. A prospective cross-sectional single-center study. Urban teaching hospital in Amsterdam, the Netherlands. 430 patients were included. Inclusion criteria were: age ≥ 18 years, discharged from one of seven participating clinical departments and an unplanned readmission within 30 days. Residents from the participating departments individually assessed whether the readmission was caused by healthcare, the preventability and possible causes of readmissions using a tool. Thereafter, the preventability of the cases was discussed in a multidisciplinary meeting with residents of all participating departments and clinical pharmacists. The primary outcome was the proportion of readmissions that were potentially preventable. Secondary outcomes were the determinants for a readmission, causes for preventable readmissions, the change in the final decision on preventability after the multidisciplinary meeting and the value of patient interviews in assessing preventability. Differences in characteristics of potentially preventable readmissions (PPRs) and non-PPRs were analyzed using multivariable logistic regression. Of 430 readmissions, 56 (13%) were assessed as PPRs. Age was significantly associated with a PPR (adjusted OR: 2.42; 95%, CI 1.23-4.74; p = 0.01). The main causes for PPRs were diagnostic (30%), medication (27%) and management problems (27%). During the multidisciplinary meeting, the final decision on preventability changed in 11% of the cases. When a patient interview was available, it was used as a source of information to assess preventability in 26% of readmissions. In 7% of cases, the patient interview was mentioned as the most important source. 13% of readmissions were potentially preventable with diagnostic, medication or management problems being main causes. A multidisciplinary review approach and including the patient's perspective could contribute to a better understanding of the complexity of readmissions and possible improvements.

Function and Caregiver Support Associated With Readmissions During Home Health for Individuals With Dementia

ObjectiveThe purpose of this study was to determine the association between mobility, self-care, cognition, and caregiver support and 30-day potentially preventable readmissions (PPR) for individuals with dementia. DesignThis retrospective study derived data from 100% national Centers for Medicare and Medicaid Services data files from July 1, 2013, through June 1, 2015. ParticipantsCriteria from the Home Health Claims-Based Rehospitalization Measure and the Potentially Preventable 30-Day Post Discharge Readmission Measure for the Home Health Quality Reporting Program were used to identify a cohort of 118,171 Medicare beneficiaries. Main Outcome MeasureThe 30-day PPR rates with associated 95% CIs were calculated for each patient characteristic. Multilevel logistic regression was used to study the relationship between mobility, self-care, caregiver support, and cognition domains and 30-day PPR during home health, adjusting for patient demographics and clinical characteristics. ResultsThe overall rate of 30-day PPR was 7.6%. In the fully adjusted models, patients who were most dependent in mobility (odds ratio [OR], 1.59; 95% CI, 1.47-1.71) and self-care (OR, 1.73; 95% CI, 1.61-1.87) had higher odds for 30-day PPR. Patients with unmet caregiving needs had 1.11 (95% CI, 1.05-1.17) higher odds for 30-day PPR than patients whose caregiving needs were met. Patients with cognitive impairment had 1.23 (95% CI, 1.16-1.30) higher odds of readmission than those with minimal to no cognitive impairment. ConclusionsDecreased independence in mobility and self-care tasks, unmet caregiver needs, and impaired cognitive processing at admission to home health are associated with risk of 30-day PPR during home health for individuals with dementia. Our findings indicate that deficits in mobility and self-care tasks have the greatest effect on the risk for PPR.

Risk factors for potentially preventable hospital readmissions among persons living with human immunodeficiency virus infection

ABSTRACT People living with HIV (PLWH) have a significant risk for experiencing a 30-day readmission; many of which may be potentially preventable readmissions (PPR). The objective of this study was to evaluate 30-day readmission rates for PLWH and identify risk factors for PPR. This was a single center retrospective study. Patients were included if they were ≥18 years of age, had a diagnosis of HIV, and were admitted to University of New Mexico Hospitals between 1 January 2010 and 31 December 2014 and readmitted within 30-days of the index admission. Preventability of readmission was defined using previously published criteria. Of the 908 identified admissions for PLWH during 2010–2014, 162 (17.8%) were 30-day readmissions. A total of 60 patient readmissions met study inclusion criteria, of which 55% were determined to be PPR. Multivariate logistic regression analysis revealed that being discharged on ≥10 medications (OR 3.92, 95% CI 1.181–13.043) and having an appointment scheduled upon discharge (OR 3.59, 95% CI 1.057–12.212) were significantly associated a PPR. These results further highlight the vulnerability of this patient population and help to identify risk factors for PPR. Targeted transitions of care interventions that address polypharmacy may help to reduce PPR among PLWH.

Dementia Severity Associated With Increased Risk of Potentially Preventable Readmissions During Home Health Care

ObjectivesApproximately 14% of Medicare beneficiaries are readmitted to a hospital within 30 days of home health care admission. Individuals with dementia account for 30% of all home health care admissions and are at high risk for readmission. Our primary objective was to determine the association between dementia severity at admission to home health care and 30-day potentially preventable readmissions (PPR) during home health care. A secondary objective was to develop a dementia severity scale from Outcome and Assessment Information Set (OASIS) items based on the Functional Assessment Staging Tool (FAST). DesignRetrospective cohort study. Setting and participantsHome health care; 126,292 Medicare beneficiaries receiving home health care (July 1, 2013–June 1, 2015) diagnosed with dementia (ICD-9 codes). Measures30-day PPR during home health care. Dementia severity categorized into 6 levels (nonaffected to severe). ResultsThe overall rate of 30-day PPR was 7.6% [95% confidence interval (CI) 7.4, 7.7] but varied by patient and health care utilization characteristics. After adjusting for sociodemographic and clinical characteristics, the odds ratio (OR) for dementia severity category 6 was 1.37 (95% CI 1.29, 1.46) and the OR for category 7 was 1.94 (95% CI 1.64, 2.31) as compared to dementia severity category 1/2. Conclusions and implicationsDementia severity in the later stages is associated with increased risk for potentially preventable readmissions. Our findings suggest that individuals admitted to home health during the later stages of Alzheimer's disease and related dementias may require greater supports and specialized care to minimize negative outcomes such as readmissions. Development of a dementia severity scale based on OASIS items and the FAST is feasible. Future research is needed to determine effective strategies for decreasing potentially preventable readmissions of individuals with severe dementia who receive home health care. Future research is also needed to validate the proposed dementia severity categories used in this study.

GREATER DEMENTIA SEVERITY IS ASSOCIATED WITH INCREASED RISK OF POTENTIALLY PREVENTABLE READMISSIONS DURING HOME HEALTH CARE

Approximately 14.0% of Medicare beneficiaries are readmitted to a hospital within 30-days of home health admission. Individuals with dementia account for 30% of all home health care admissions and are at high-risk for rehospitalizations. Our primary objective was to determine the association between dementia severity at admission to home health and 30-day potentially preventable readmissions (PPR) during home health care. A secondary objective was to develop a dementia severity category from OASIS items based on the Functional Assessment Staging Tool (FAST). Retrospective cohort study of 124,119 Medicare beneficiaries receiving home health (7/2013 – 6/2015) and diagnosed with dementia (ICD-9 codes). The primary outcome was 30-day PPR during home health. The predictor variable of dementia severity was categorized into six levels (non-affected to severe). The overall rate of 30-day PPR was 7.6% (95% CI 7.4, 7.7) but varied by patient and health care utilization characteristics. After adjusting for sociodemographic and clinical characteristics, patients classified as stage 6 and stage 7 had 1.36 (95% CI 1.28, 1.45) and 1.90 (95% CI 1.59, 2.26) times higher odds to experience a 30-day PPR compared to patients classified as stage 1-2. Dementia severity in the later stages is associated with increased risk for PPR. Development of a dementia severity category based on OASIS items and the FAST is feasible. Future research is needed to determine effective strategies for decreasing PPR during home health for individuals with severe dementia. Future research is needed to validate the proposed dementia severity categories used in this study.

FUNCTIONAL STATUS ASSOCIATED WITH RISK OF READMISSION DURING HOME HEALTH CARE FOR PATIENTS WITH DEMENTIA

Approximately 14.0% of Medicare beneficiaries are readmitted to a hospital within 30-days of home health admission. Individuals with dementia account for 30% of all home health care admissions and are at high-risk for rehospitalizations. Our primary objective was to determine the association between functional status and social support at admission to home health and 30-day potentially preventable readmissions (PPR) during home health care. We conducted a retrospective cohort study of 124,119 Medicare beneficiaries receiving home health (7/2013 – 6/2015) and diagnosed with dementia (ICD-9 codes). Approximately 65% of participants were over the age of 81, 61% were female, and 80% were Caucasian. The primary outcome was 30-day PPR during home health. OASIS items were used to create mobility, self-care, social support, and cognition categories. The overall rate of 30-day PPR was 7.6% (95% CI: 7.4-7.7) but varied by patient and health care utilization characteristics. After adjusting for sociodemographic and clinical characteristics, the odds ratios (OR) for the most dependent score quartile versus the most independent was 1.68(1.56,1.80 95% CI) for mobility, 1.78 (95% CI: 1.66- 1.91) for self-care, and 1.10(95%CI: 1.03-1.17) for social support. The OR for impaired versus intact cognition was 1.12 (95% CI: 1.05-1.20). Impaired functional and cognitive status as well as limited social support at admission to home health care are associated with increased risk of PPR for individuals with dementia. Future research is needed to determine if strategies targeted at mobility and self-care can decrease PPR during home health for individuals with severe dementia.

30-Day Potentially Preventable Hospital Readmissions In Older Patients: Clinical Phenotype And Health Care Related Risk Factors.

PurposeEarly readmission rate has been regarded as an indicator of in-hospital and post-discharge quality of care. Evaluating the contributing factors is crucial to optimize the healthcare and target the intervention. In this study we evaluated the potential for preventing 30-day hospital readmission in a cohort of older patients and identified possible risk factors for readmission.Patients and methodsDiagnosis-Related Group (DRG) codes of patients consecutively hospitalized for acute disease in the Geriatrics Unit of the University Hospital of Pisa within a 1-year window were recorded. All the patients had received a comprehensive geriatric assessment. Crossing and elaboration of the DRG codes was performed by the Potentially Preventable Readmission Grouping software (3M™ Corporation). DRG codes were classified as stand-alone admissions (SA), index admissions (IA) and potentially preventable readmissions (PPR) within a time window of 30 days after discharge.ResultsIn total, 1263 SA and 171 IA were identified, with an overall PPR rate of 11.9%. Hospitalizations were significantly longer in IA and PPR than SA (p<0.05). The more frequent readmission causes were acute heart failure, pulmonary edema, sepsis, pneumonia and stroke. In acute heart failure a nonlinear U-shaped readmission trend (with nadir at 5 days of hospitalization) was observed while, in all the other DRG codes, the PPR rate increased with increasing length of hospitalization. Comprehensive geriatric assessment showed a significantly lower degree of disability and comorbidity in SA than IA patients. At stepwise regression analysis, a high degree of disability and comorbidity as well as the diagnosis of sepsis emerged as independent risk factors for PPR.ConclusionAddressing PPR is crucial, especially in older patients. The adequacy of treatment during hospitalization (especially in cases of sepsis) as well as the setting of a comprehensive discharge plan, accounting for comorbidity and disability of the patients, are essential to reduce PPR.

Living Alone and Homelessness as Predictors of 30-Day Potentially Preventable Hospital Readmission.

IntroductionThe effect of social factors on health care outcomes is widely recognized. Health care systems are encouraged to add social and behavioral measures to electronic health records (EHRs), but limited research demonstrates how to leverage this information. We assessed 2 social factors collected from EHRs — social isolation and homelessness — in predicting 30-day potentially preventable readmissions (PPRs) to hospital.MethodsEHR data were collected from May 2015 through April 2017 from inpatients at 2 urban hospitals on O‘ahu, Hawai‘i (N = 21,274). We performed multivariable logistic regression models predicting 30-day PPR by living alone versus living with others and by documented homelessness versus no documented homelessness, controlling for relevant factors, including age group, race/ethnicity, sex, and comorbid conditions.ResultsAmong the 21,274 index hospitalizations, 16.5% (3,504) were people living alone and 11.2% (2,385) were homeless; 4.2% (899) hospitalizations had a 30-day PPR. In bivariate analysis, living alone did not significantly affect likelihood of a 30-day PPR (16.6% [3,376 hospitalizations] without PPR vs 14.4% [128 hospitalizations] with PPR; P = .09). However, documented homelessness did show a significant effect on the likelihood of 30-day PPR in the bivariate analysis (11.1% [2,259 hospitalizations] without PPR vs 14.1% [126 hospitalizations] with PPR; P = .006). In multivariable models, neither living alone nor homelessness was significantly associated with PPR. Factors that were significantly associated with PPR were comorbid conditions, discharge disposition, and use of an assistive device.ConclusionHomelessness predicted PPR in descriptive analyses. Neither living alone nor homelessness predicted PPR once other factors were controlled. Instead, indicators of physical frailty (ie, use of an assistive device) and medical complexity (eg, hospitalizations that required assistive care post-discharge, people with a high number of comorbid conditions) were significant. Future research should focus on refining, collecting, and applying social factor data obtained through acute care EHRs.

Readmissions After Complex Cancer Surgery: Analysis of the Nationwide Readmissions Database.

Hospital readmissions after surgery are a focus of quality improvement efforts. Although some reflect appropriate care, others are potentially preventable readmissions (PPRs). We aim to describe the burden, timing, and factors associated with readmissions after complex cancer surgery. The Nationwide Readmissions Database (2013) was used to select patients undergoing a complex oncologic resection, which was defined as esophagectomy/gastrectomy, hepatectomy, pancreatectomy, colorectal resection, lung resection, or cystectomy. Readmissions within 30 days from discharge were analyzed. International Classification of Diseases (9th revision) primary diagnosis codes were reviewed to identify PPRs. Multivariable logistic regression analyses identified demographic, clinical, and hospital factors associated with readmissions. Of the 59,493 eligible patients, 14% experienced a 30-day readmission, and 82% of these were deemed PPRs. Half of the readmissions occurred within the first 8 days of discharge. Infections (26%), GI complications (17%), and respiratory conditions (10%) accounted for most readmissions. Factors independently associated with an increased likelihood of readmission included Medicaid versus private insurance (odds ratio [OR], 1.32; 95% CI, 1.17 to 1.48), higher comorbidity score (OR, 1.5; 95% CI, 1.33 to 1.63), discharge to a facility (OR, 1.39; 95% CI, 1.29 to 1.51), prolonged length of stay (OR, 1.42; 95% CI, 1.32 to 1.52), and occurrence of a major in-hospital complication (OR, 1.24; 95% CI, 1.16 to 1.34). One in seven patients undergoing complex cancer surgery suffered a readmission within 30 days. We identified common causes of these and identified patients at high risk for such an event. These data can be used by physicians, administrators, and policymakers to develop strategies to decrease readmissions.

Potentially preventable readmissions after complex cancer surgery: Analysis of the national readmissions dataset.

109 Background: Hospital readmissions following surgery are a focus of quality improvement efforts nationwide. Although some reflect appropriate care, others are potentially preventable readmissions (PPRs). We aim to describe the burden, timing, and factors associated with PPRs after complex cancer surgery. Methods: The National Readmissions Dataset (2013) was used to select patients undergoing a complex oncologic resection (defined as esophagectomy/gastrectomy, hepatectomy, pancreatectomy, colorectal resection, lung resection, and cystectomy). All Readmissions occurring within 30 days from discharge were analyzed. Causes for readmissions were categorized in eleven diagnostic groups and tabulated. ICD-9 primary diagnosis codes were reviewed to identify PPRs. Logistic regression analyses were used to identify demographic, clinical and hospital factors associated with PPRs. Results: We analyzed 60,970 patients with 92,260 admissions. A 30 day readmission occurred in 14% of patients, and was highest following cystectomy (25%) and lowest for lung resections (9%). Of all readmissions 82% were deemed to be PPRs. Half of PPRs occurred within the first 10 days of discharge. Infections, gastrointestinal complications and respiratory conditions accounted for 59% of PPRs. Other common causes included dehydration/electrolyte deficiencies (11%), exacerbation of comorbidity (9.2%), bleeding (5%), thromboembolism (3.5%), and wound complications (3.2%). Factors associated with an increased likelihood of PPRs include Medicaid compared with private insurance (OR 1.24, 95%CI 0.8-1.7), higher comorbid conditions (OR 1.44, 95%CI 1.32, 1.59), and discharge to a facility (OR 1.9, 95%CI 1.7-2.1). Patients with a prolonged hospital stay or a major complication during the index admission had a 34% (OR 1.34, 95%CI 1.3-1.4), and 64% (OR 1.64, 95%CI 1.5-1.7) higher likelihood of a PPR respectively. Conclusions: Most 30 day readmissions after complex cancer surgery are potentially preventable and occur within 10 days of discharge. We identify common causes of readmission and high risk populations to help physicians, administrators and policy makers develop strategies to decrease PPRs.

Children's Hospital Characteristics and Readmission Metrics.

Like their adult counterparts, pediatric hospitals are increasingly at risk for financial penalties based on readmissions. Limited information is available on how the composition of a hospital's patient population affects performance on this metric and hence affects reimbursement for hospitals providing pediatric care. We sought to determine whether applying different readmission metrics differentially affects hospital performance based on the characteristics of patients a hospital serves. We performed a cross-sectional analysis of 64 children's hospitals from the Children's Hospital Association Case Mix Comparative Database 2012 and 2013. We calculated 30-day observed-to-expected readmission ratios by using both all-cause (AC) and Potentially Preventable Readmissions (PPR) metrics. We examined the association between observed-to-expected rates and hospital characteristics by using multivariable linear regression. We examined a total of 1 416 716 hospitalizations. The mean AC 30-day readmission rate was 11.3% (range 4.3%-19.6%); the mean PPR rate was 4.9% (range 2.9%-6.9%). The average 30-day AC observed-to-expected ratio was 0.96 (range 0.63-1.23), compared with 0.95 (range 0.65-1.23) for PPR; 59% of hospitals performed better than expected on both measures. Hospitals with higher volumes, lower percentages of infants, and higher percentage of patients with low income performed worse than expected on PPR. High-volume hospitals, those that serve fewer infants, and those with a high percentage of patients from low-income neighborhoods have higher than expected PPR rates and are at higher risk of reimbursement penalties.

Thirty-Day Inpatient Readmissions for Asian American and Pacific Islander Subgroups Compared With Whites.

Asian and Pacific Islander (API) 30-day potentially preventable readmissions (PPRs) are understudied. Hawaii Health Information Corporation data from 2007-2012 statewide adult hospitalizations ( N = 495,910) were used to compare API subgroup and White PPRs. Eight percent of hospitalizations were PPRs. Seventy-two percent of other Pacific Islanders, 60% of Native Hawaiians, and 52% of Whites with a PPR were 18 to 64 years, compared with 22% of Chinese and 21% of Japanese. In multivariable models including payer, hospital, discharge year, residence location, and comorbidity, PPR disparities existed for some API subpopulations 65+ years, including Native Hawaiian men (odds ratio [OR] = 1.14; 95% confidence interval [CI] = 1.04-1.24), Filipino men (OR = 1.19; 95% CI = 1.04-1.38), and other Pacific Islander men (OR = 1.30; 95% CI = 1.19-1.43) and women (OR = 1.23; 95% CI = 1.02-1.51) compared with Whites, while many API groups 18 to 64 years had significantly lower PPR odds. Distinct PPR characteristics across API subpopulations and age groups can inform policy and practice. Further research should determine why elderly API have higher PPR rates, while nonelderly rates are lower.

Ethnic Comparison of 30-Day Potentially Preventable Readmissions After Stroke in Hawaii.

Ethnic disparities in readmission after stroke have been inadequately studied. We sought to compare potentially preventable readmissions (PPR) among a multiethnic population in Hawaii. Hospitalization data in Hawaii from 2007 to 2012 were assessed to compare ethnic differences in 30-day PPR after stroke-related hospitalizations. Multivariable models using logistic regression were performed to assess the impact of ethnicity on 30-day PPR after controlling for age group (<65 and ≥65 years), sex, insurance, county of residence, substance use, history of mental illness, and Charlson Comorbidity Index. Thirty-day PPR was seen in 840 (8.4%) of 10 050 any stroke-related hospitalizations, 712 (8.7%) of 8161 ischemic stroke hospitalizations, and 128 (6.8%) of 1889 hemorrhagic stroke hospitalizations. In the multivariable models, only the Chinese ethnicity, compared with whites, was associated with 30-day PPR after any stroke hospitalizations (odds ratio [OR] [95% confidence interval {CI}], 1.40 [1.05-1.88]) and ischemic stroke hospitalizations (OR, 1.42 [CI, 1.04-1.96]). When considering only one hospitalization per individual, the impact of Chinese ethnicity on PPR after any stroke hospitalization (OR, 1.22 [CI, 0.89-1.68]) and ischemic stroke hospitalization (OR, 1.21 [CI, 0.86-1.71]) was attenuated. Other factors associated with 30-day PPR after any stroke hospitalizations were Charlson Comorbidity Index (per unit increase) (OR, 1.21 [CI, 1.18-1.24]), Medicaid (OR, 1.42 [CI, 1.07-1.88]), Hawaii county (OR, 0.78 [CI, 0.62-0.97]), and mental illness (OR, 1.37 [CI, 1.10-1.70]). In Hawaii, Chinese may have a higher risk of 30-day PPR after stroke compared with whites. However, this seems to be driven by the high number of repeated PPR within the Chinese ethnic group.

Quality Palliative Care and the First Domain

The first domain of the Clinical Practice Guidelines for Quality Palliative Care includes a commitment to quality assessment and performance improvement. This article describes a quality assessment and performance improvement process initiated in November 2012 to reduce the potentially preventable readmissions (PPRs) of those persons seen by the palliative care (PC) consult service. The goal was to reduce PPRs from 15.7% to 13%. Furthermore, the project identified a more upstream population using a novel set of criteria and was found to be appropriate for PC consults. Key performance markers for a quality PC consult became the process goals guiding new consistent interventions. In response to the findings of this project, a busy, short-staffed PC team changed its daily work strategy for seeing new consults and demonstrated in measurable terms the impact of PC by reducing the PC team PPR from 15.7% to 6.3%. This dramatic change illustrated the potential for cost savings through consistent interventions. Inadequate staffing was a barrier to the ongoing success of this project when the team could not see all the ordered consults. If limited staffing issues are addressed, quality inpatient PC consults could be the answer to reducing the burden of readmissions and address the financial burden to persons and their families as well as to the health care system and rising health care costs.

Measuring readmissions after surgery: do different methods tell the same story?

BackgroundReadmission is widely used as a quality metric to assess hospital performance. However, different methods to calculate readmissions may produce various results, leading to differences in classification with respect to hospital performance. This study compared 2 commonly used approaches to measure surgical readmissions: the 30-day all-cause hospital-wide readmissions (HWRs) and the potentially preventable readmissions (PPRs). MethodsWe examined the correlation between hospitals' risk-adjusted HWR and PPR rates and whether there was agreement in categorizing hospital performance between these measures among 111 hospitals with inpatient surgical programs in the Veterans Health Administration. ResultsWe found that hospitals' HWR and PPR rates were highly correlated (r = .85, P < .0001). The overall agreement between these 2 methods in categorizing hospital performance was 82% for all surgeries, 82% for colectomy, 84% for coronary bypass, and 87% for hip/knee replacement, respectively. ConclusionsDespite differences in methodologies, the HWR and the PPR measures provided relatively consistent perceptions of hospitals' performance on surgical readmissions.