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Potentially Avoidable Readmissions in United States Hemodialysis Patients.

ABSTRACT: Introduction:Patients with end-stage kidney disease have a high risk of 30-day readmission to hospital. These readmissions are financially costly to health care systems and are associated with poor health-related quality of life. The objective of this study was to describe and analyze the frequency, causes, and predictors of 30-day potentially avoidable readmission to hospital in patients on hemodialysis. Methods:We conducted a retrospective cohort study using the US Renal Data System data from January 1, 2008, to December 31, 2008. A total of 107,940 prevalent United States hemodialysis patients with 248,680 index hospital discharges were assessed for the main outcome of 30-day potentially avoidable readmission, as identified by a computerized algorithm. Results:Of 83,209 30-day readmissions, 59,045 (70.1%) resulted in a 30-day potentially avoidable readmission. The geographic distribution of 30-day potentially avoidable readmission in the United States varied by state. Characteristics associated with 30-day potentially avoidable readmission included the following: younger age, shorter time on hemodialysis, at least 3 or more hospitalizations in preceding 12 months, black race, unemployed status, treatment at a for-profit facility, longer length of index hospital stay, and index hospitalizations that involved a surgical procedure. The 5-, 15-, and 30-day potentially avoidable readmission cumulative incidences were 6.0%, 15.1%, and 25.8%, respectively. Conclusion:Patients with end-stage kidney disease on maintenance hemodialysis are at high risk for 30-day readmission to hospital, with nearly three-quarters (70.1%) of all 30-day readmissions being potentially avoidable. Research is warranted to develop cost-effective and transferrable interventions that improve care transitions from hospital to outpatient hemodialysis facility and reduce readmission risk for this vulnerable population.

SUBMITTER: Mathew AT

PROVIDER: S-EPMC5932139 | biostudies-literature | 2018 Mar

REPOSITORIES: biostudies-literature

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Potentially Avoidable Readmissions in United States Hemodialysis Patients.

Mathew Anna T AT Rosen Lisa L Pekmezaris Renee R Kozikowski Andrzej A Ross Daniel W DW McGinn Thomas T Kalantar-Zadeh Kamyar K Fishbane Steven S

Kidney international reports 20171103 2

<h4>Introduction</h4>Patients with end-stage kidney disease have a high risk of 30-day readmission to hospital. These readmissions are financially costly to health care systems and are associated with poor health-related quality of life. The objective of this study was to describe and analyze the frequency, causes, and predictors of 30-day potentially avoidable readmission to hospital in patients on hemodialysis.<h4>Methods</h4>We conducted a retrospective cohort study using the US Renal Data Sy ...[more]

PMID: 29725638

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Project description:BackgroundUrgent, unplanned hospital readmissions are increasingly being used to gauge the quality of care. We reviewed urgent readmissions to determine which were potentially avoidable and compared rates of all-cause and avoidable readmissions.MethodsIn a multicentre, prospective cohort study, we reviewed all urgent readmissions that occurred within six months among patients discharged to the community from 11 teaching and community hospitals between October 2002 and July 2006. Summaries of the readmissions were reviewed by at least four practising physicians using standardized methods to judge whether the readmission was an adverse event (poor clinical outcome due to medical care) and whether the adverse event could have been avoided. We used a latent class model to determine whether the probability that each readmission was truly avoidable exceeded 50%.ResultsOf the 4812 patients included in the study, 649 (13.5%, 95% confidence interval [CI] 12.5%-14.5%) had an urgent readmission within six months after discharge. We considered 104 of them (16.0% of those readmitted, 95% CI 13.3%-19.1%; 2.2% of those discharged, 95% CI 1.8%-2.6%) to have had a potentially avoidable readmission. The proportion of patients who had an urgent readmission varied significantly by hospital (range 7.5%-22.5%; χ(2) = 92.9, p < 0.001); the proportion of readmissions deemed avoidable did not show significant variation by hospital (range 1.2%-3.7%; χ(2) = 12.5, p < 0.25). We found no association between the proportion of patients who had an urgent readmission and the proportion of patients who had an avoidable readmission (Pearson correlation 0.294; p = 0.38). In addition, we found no association between hospital rankings by proportion of patients readmitted and rankings by proportion of patients with an avoidable readmission (Spearman correlation coefficient 0.28, p = 0.41).InterpretationUrgent readmissions deemed potentially avoidable were relatively uncommon, comprising less than 20% of all urgent readmissions following hospital discharge. Hospital-specific proportions of patients who were readmitted were not related to proportions with a potentially avoidable readmission.

Project description:BACKGROUND:Identifying patients at high risk of hospital preventable readmission is an essential step towards selecting those who might benefit from specific transitional interventions. OBJECTIVE:Derive and validate a predictive risk score for potentially avoidable readmission (PAR) based on analysis of readmissions, with a focus on medication. DESIGN/SETTING/PARTICIPANTS:Retrospective analysis of all hospital admissions to internal medicine wards between 2011 and 2014. Comparison between patients readmitted within 30 days and non-readmitted patients, as identified using a specially designed algorithm. Univariate and multivariate regression analyses of demographic data, clinical diagnoses, laboratory results, and the medication data of patients admitted during the first period (2011-2013), to identify factors associated with PAR. Using these, derive a predictive score with a regression coefficient-based scoring method. Subsequently, validate this score with a second cohort of patients admitted in 2013-2014. Variables were identified at hospital discharge. RESULTS:The derivation cohort included 7,317 hospital stays. Multivariate logistic regressions found significant associations with PAR for: [adjusted OR (95% CI)] hospital length of stay > 4 days [1.3 (1.1-1.7)], admission in previous 6 months [2.3 (1.9-2.8)], heart failure [1.3 (1.0-1.7)], chronic ischemic heart disease [1.7 (1.2-2.3)], diabetes with organ damage [2.2 (1.3-3.8)], cancer [1.4 (1.0-1.9)], metastatic carcinoma [1.9 (1.3-3.0)], anemia [1.2 (1.0-1.5)], hypertension [1.3 (1.1-1.7)], arrhythmia [1.3 (1.0-1.6)], hyperkalemia [1.4 (1.0-1.7)], opioid drug prescription [1.3 (1.1-1.6)], and acute myocardial infarction [0.6 (0.4-0.9)]. The PAR-Risk Score, derived from these results, demonstrated fair discriminatory and calibration power (C-statistic = 0.699; Brier Score = 0.069). The results for the validation cohort's operating characteristics were similar (C-statistic = 0.687; Brier Score = 0.064). CONCLUSION:This study identified routinely-available factors that were significantly associated with PAR. A predictive score was derived and internally validated.

Project description:Identification of patients at a high risk of potentially avoidable readmission allows hospitals to efficiently direct additional care transitions services to the patients most likely to benefit.To externally validate the HOSPITAL score in an international multicenter study to assess its generalizability.International retrospective cohort study of 117?065 adult patients consecutively discharged alive from the medical department of 9 large hospitals across 4 different countries between January 2011 and December 2011. Patients transferred to another acute care facility were excluded.The HOSPITAL score includes the following predictors at discharge: hemoglobin, discharge from an oncology service, sodium level, procedure during the index admission, index type of admission (urgent), number of admissions during the last 12 months, and length of stay.30-day potentially avoidable readmission to the index hospital using the SQLape algorithm.Overall, 117?065 adults consecutively discharged alive from a medical department between January 2011 and December 2011 were studied. Of all medical discharges, 16?992 of 117?065 (14.5%) were followed by a 30-day readmission, and 11?307 (9.7%) were followed by a 30-day potentially avoidable readmission. The discriminatory power of the HOSPITAL score to predict potentially avoidable readmission was good, with a C statistic of 0.72 (95% CI, 0.72-0.72). As in the derivation study, patients were classified into 3 risk categories: low (n?=?73?031 [62.4%]), intermediate (n?=?27?612 [23.6%]), and high risk (n?=?16?422 [14.0%]). The estimated proportions of potentially avoidable readmission for each risk category matched the observed proportion, resulting in an excellent calibration (Pearson ?2 test P?=?.89).The HOSPITAL score identified patients at high risk of 30-day potentially avoidable readmission with moderately high discrimination and excellent calibration when applied to a large international multicenter cohort of medical patients. This score has the potential to easily identify patients in need of more intensive transitional care interventions to prevent avoidable hospital readmissions.

Project description:BACKGROUND:Fragmentation of care, wherein a patient is readmitted to a hospital different from the initial point of care, has been shown to be associated with worse patient outcomes in other medical specialties. However, postpartum fragmentation of care has not been well characterized in obstetrics. OBJECTIVE:To characterize risk for and outcomes associated with fragmentation of postpartum readmissions wherein the readmitting hospital is different than the delivery hospital. METHODS:The 2010 to 2014 Nationwide Readmissions Database was used for this retrospective cohort study. Postpartum readmissions within 60 days of delivery hospitalization discharge for women aged 15-54 years were identified. The primary outcome, fragmentation, was defined as readmission to a different hospital than the delivery hospital. Hospital, demographic, medical, and obstetric factors associated with fragmented readmission were analyzed. Adjusted log-linear models were performed to analyze risk for readmission with adjusted risk ratios and 95% confidence intervals as the measures of effect. The associations between fragmentation and secondary outcomes including (1) length of stay >90th percentile, (2) hospitalization costs >90th percentile, and (3) severe maternal morbidity were determined. Whether specific indications for readmission such as hypertensive diseases of pregnancy, wound complications, and other conditions were associated with higher or lower risk for fragmentation was analyzed. RESULTS:From 2010 to 2014, 141,276 60-day postpartum readmissions were identified, of which 15% of readmissions (n = 21,789) occurred at a hospital different from where the delivery occurred. Evaluating individual readmission indications, fragmentation was less likely for hypertension (11.1%), wound complications (10.7%), and uterine infections (11.0%), and more likely for heart failure (28.6%), thromboembolism (28.4%), and upper respiratory infections (33.9%) (P < .01 for all). In the adjusted analysis, factors associated with fragmentation included public insurance compared to private insurance (Medicare: adjusted risk ratio, 1.68; 95% confidence interval, 1.52, 1.86; Medicaid: adjusted risk ratio, 1.28; 95% confidence interval, 1.24, 1.32). Fragmentation was associated with increased risk for severe maternal morbidity during readmissions in both unadjusted (relative risk, 1.84; 95% confidence interval, 1.79, 1.89) and adjusted (adjusted risk ratio, 1.81; 95% confidence interval, 1.76, 1.86) analyses. In adjusted analyses, fragmentation was also associated with increased risk for length of stay >90th percentile (relative risk, 1.48; 95% confidence interval, 1.42-1.54) and hospitalization costs >90th percentile (adjusted risk ratio, 1.74; 95% confidence interval, 1.67, 1.81). CONCLUSION:This study of nationwide estimates of postpartum fragmentation found discontinuity of postpartum care was associated with increased risk for severe morbidity, high costs, and long length of stay. Reduction of fragmentation may represent an important goal in overall efforts to improve postpartum care.

Project description:BACKGROUND:Arteriovenous fistulas (AVFs) are the preferred form of hemodialysis vascular access, but maturation failures occur frequently, often resulting in prolonged catheter use. We sought to characterize AVF maturation in a national sample of prevalent hemodialysis patients in the United States. STUDY DESIGN:Nonconcurrent observational cohort study. SETTING & PARTICIPANTS:Prevalent hemodialysis patients having had at least 1 new AVF placed during 2013, as identified using Medicare claims data in the US Renal Data System. PREDICTORS:Demographics, geographic location, dialysis vintage, comorbid conditions. OUTCOMES:Successful maturation following placement defined by subsequent use identified using monthly CROWNWeb data. MEASUREMENTS:AVF maturation rates were compared across strata of predictors. Patients were followed up until the earliest evidence of death, AVF maturation, or the end of 2014. RESULTS:In the study period, 45,087 new AVFs were placed in 39,820 prevalent hemodialysis patients. No evidence of use was identified for 36.2% of AVFs. Only 54.7% of AVFs were used within 4 months of placement, with maturation rates varying considerably across end-stage renal disease (ESRD) networks. Older age was associated with lower AVF maturation rates. Female sex, black race, some comorbid conditions (cardiovascular disease, peripheral artery disease, diabetes, needing assistance, or institutionalized status), dialysis vintage longer than 1 year, and catheter or arteriovenous graft use at ESRD incidence were also associated with lower rates of successful AVF maturation. In contrast, hypertension and prior AVF placement at ESRD incidence were associated with higher rates of successful AVF maturation. LIMITATIONS:This study relies on administrative data, with monthly recording of access use. CONCLUSIONS:We identified numerous associations between AVF maturation and patient-level factors in a recent national sample of US hemodialysis patients. After accounting for these patient factors, we observed substantial differences in AVF maturation across some ESRD networks, indicating a need for additional study of the provider, practice, and regional factors that explain AVF maturation.

Dataset Information

Potentially Avoidable Readmissions in United States Hemodialysis Patients.

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Potentially Avoidable Readmissions in United States Hemodialysis Patients.

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