Team-Based Transitions of Care in Heart Failure.

With the implementation of the Patient Protection and Affordable Care Act, the requisite for health care systems to build team-based transitional care programs is clear. The clinical course for patients with HF is complicated and progressive, which leads to frequent acute care hospitalization and higher mortality. These patients uniquely benefit from transitions of care programs that encourage a coordinated, multidisciplinary teambased approach to care. Evidence of the benefit of this approach to care is mounting. Research and advocacy efforts need to continue to facilitate the team-based approach to transitions and improve the quality of care.

Uniform standards do not apply to readmission following coronary artery bypass surgery: a multi-institutional study.

OBJECTIVES: Reducing hospital readmissions is a national priority, with coronary artery bypass graft (CABG) surgery slated for upcoming reimbursement decisions. Clear understanding of the elements associated with readmissions is essential for developing a coherent prevention strategy. Patterns of readmission vary considerably based on diagnosis. We therefore sought to clarify the factors most clearly associated with 30-day readmission following CABG surgery in an academically affiliated community hospital network. METHODS: All patients undergoing isolated CABG in an 11-hospital network from 2007 to 2011 were entered into a Society of Thoracic Surgeons (STS) compliant registry that tracks hospital readmission within 30 days of surgery. Data were split at random into training and validation groups that were used to create and validate a logistic regression model of pre-, intra-, and postoperative factors associated with readmission. Subanalyses included development of logistic models predicting readmission for the 2 largest institutions individually, and relatedness of readmission to CABG procedure. RESULTS: The readmission rate for the entire 4861 patient group was 9.2% and varied between hospitals from 6.1% to 18.0%. Factors associated with readmission were moderate chronic obstructed pulmonary disease (odds ratio [OR], 1.81; 95% confidence interval [CI], 1.04-3.14; P = .036), cerebrovascular disease (OR, 1.56; 95% CI, 1.09-2.24; P = .016), diabetes (OR, 1.44; 95% CI, 1.08-1.93; P = .014), congestive heart failure (OR, 2.12; 95% CI, 1.23-3.66; P = .007), intra-aortic balloon pump (OR, 0.40; 95% CI, 0.19-0.83; P = .015), and use of blood products (OR, 1.76; 95% CI, 1.31-2.37; P = .0002). Although the c statistic for the training model (n = 2341) was 0.643, when applied to the validation dataset (n = 2520) the area under the receiver operating curve was reduced to 0.57. Separate analyses of factors for the 2 largest hospitals revealed marked differences, with only body mass index (OR, 1.08; 95% CI, 1.04-1.12; P = .0001) significantly associated with readmission at 1 hospital, and discharge to extended care (OR, 2.11; 95% CI, 1.02-4.33; P = .043) and renal failure (OR, 2.64; 95% CI, 1.21-5.76; P = .0149) significant at the other hospital. Most readmissions (60.8%) occurred within 10 days of discharge. Nearly one-third (31.3%) were categorized as unlikely to be CABG-related. The mean number of days from surgery to readmission was less for readmissions clearly related to CABG (15.5 ± 6.4 days), compared with those unlikely to be CABG-related (17.4 ± 7.0 days) (P = .05). CONCLUSIONS: Analysis of CABG readmission data from a network of community hospitals that vary in size and patient demographic characteristics suggests that there are many nonclinical factors influencing readmission; readmission rates and associated risk factors may vary considerably between centers; earlier readmissions are more likely to be procedure-related than patient-related; and therefore, considerable caution should be exercised in attempting to apply uniform standards or strategies to address post-CABG readmission.

Quality, not volume, determines outcome of coronary artery bypass surgery in a university-based community hospital network.

OBJECTIVES: The present study examined the relationship between hospital and surgeon coronary artery bypass grafting procedural volume, mortality, morbidity, and National Quality Forum care processes in a university-based community hospital quality improvement program. METHODS: The study population consisted of 2218 consecutive patients undergoing isolated coronary artery bypass grafting from 2007 to 2009 in a university-based quality improvement program that emphasizes involvement of all surgeons in the academic quality endeavor. The endpoints included operative mortality, major morbidity, and National Quality Forum-endorsed process measures as defined by the Society of Thoracic Surgeons. The procedural volume was analyzed as a categorical and continuous variable using general estimating equations, which accounted for clustering effects and which were adjusted for Society of Thoracic Surgeons risk scores and the propensity for operation in a low- versus high-volume program. RESULTS: The annual program volume ranged from 67 to 292 (median, 136; interquartile range, 88-224) and surgeon volume from 1 to 124 (median, 58; interquartile range, 30-89). The mortality rate among the hospitals was 0.47% to 2.23% (0.8% overall), and the observed/expected mortality ranged from 0 to 1.20 (0.41 overall). When comparing low-volume (<200 cases/year) and high-volume centers, no difference was found in the mortality (odds ratio [OR], 1.08; 95% confidence interval [CI], 0.46-2.54, P = .85), morbidity (OR, 1.34; 95% CI, 0.73-2.43), or any of the medication process measures. No difference was found in mortality (OR, 1.59; 95% CI, 0.81-3.13; P = .18), morbidity (OR, 1.20; 95% CI, 0.86-1.66; P = .28), or medication failure (OR, 0.57, 95% CI, 0.3-1.10; P = .10) between the high- and low-volume surgeons (<87). After adjustment for both the Society of Thoracic Surgeons risk score and the propensity score, no association was found for either hospital or surgeon volume with mortality or morbidity. However, a lack of compliance with National Quality Forum measures was highly predictive of morbidity (OR, 1.51; 95% CI, 1.18-1.93; P = .001), regardless of volume, even after adjustment for predicted risk. CONCLUSIONS: In the setting of a university-based community hospital quality improvement program, excellent surgical results can consistently be obtained even in relatively low-volume programs. The surgical outcomes were not associated with program or surgeon volume, but were directly correlated with the focus on quality as manifested by compliance with evidence-based quality standards. Meaningful university affiliation might represent a new quality paradigm for cardiac surgery in the community hospital setting.