Adjustment For Patient Factors Research Articles

Geographical variation in therapy for bloodstream infections due to multidrug-resistant Enterobacteriaceae: a post-hoc analysis of the INCREMENT study

We describe regional differences in therapy for bloodstream infection (BSI) caused by extended-spectrum β-lactamase-producing Enterobacteriaceae (ESBL-E) or carbapenemase-producing Enterobacteriaceae (CPE). Patients (n = 1482) in 12 countries from an observational study of BSI caused by ESBL-E or CPE were included. Multivariate logistic regression was used to calculate adjusted odds ratios (aORs) for the influence of country of recruitment on empirical use of β-lactam/β-lactamase inhibitors (BLBLIs) or carbapenems, targeted use of BLBLIs for ESBL-E and use of targeted combination therapy for CPE. Compared with Spain, BLBLI use for empirical therapy was least likely in sites from Israel (aOR 0.34, 95% CI 0.14–0.81), Greece (aOR 0.49, 95% CI 0.26–0.94) and Canada (aOR 0.31, 95% CI 0.11–0.88) but more likely in Italy (aOR 1.58, 95% CI 1.11–2.25) and Turkey (aOR 2.09, 95% CI 1.14–3.81). Empirical carbapenem use was more likely in sites from Taiwan (aOR 1.73, 95% CI 1.03–2.92) and USA (aOR 1.89, 95% CI 1.05–3.39) and less likely in Italy (aOR 0.44, 95% CI 0.28–0.69) and Canada (aOR 0.10, 95% CI 0.01–0.74). Targeted BLBLIs for ESBL-E was more likely in Italian sites. Treatment at sites within Israel, Taiwan, Turkey and Brazil was associated with less combination therapy for CPE. Although this study does not provide precise data on the relative prevalence of ESBL-E or CPE, significant variation in therapy exists across countries even after adjustment for patient factors. Better understanding of what influences therapeutic choices for these infections will aid antimicrobial stewardship efforts.

Abstract 047: Variation by Provider in Echocardiographic Surveillance of Mitral Regurgitation

Clinical outcomes after surgical treatment of mitral regurgitation (MR) are worse if intervention occurs after deterioration of left ventricular (LV) size and function. Echocardiographic surveillance of patients with MR is therefore indicated to avoid ventricular remodeling that could worsen patient outcomes. However, overly frequent trans-thoracic echocardiograms (TTEs) can impair access for other patients and reduce value in the delivery of care. Given the balance between timeliness of surveillance and possible over-utilization of TTE in valvular disease, we sought to investigate patient and provider factors contributing to variation in TTE utilization. We hypothesized that there was variation attributable to provider practice even after adjustment for patient characteristics. We obtained records of all TTEs from 2001-2016 ordered at a large echocardiography laboratory. For each TTE, we linked to patient demographic data from hospital administrative records. To control for both clinical and demographic predictors of frequency of echocardiography, we constructed a hierarchical mixed-effects linear regression model with the individual physician as the random effect in the model. The outcome variable was time interval between TTEs. Intra-class correlation coefficient (ICC) was used to assess the proportion of total variation in the outcome variable due to provider practice, and shrinkage estimates were used to measure the contribution of individual providers. After application of exclusion criteria, 79,194 TTEs corresponding to 55,663 TTE intervals remained. The mean interval between TTEs was 11.9 months for severe MR, 15.4 months for moderate MR, and 17.6 and 17.7 months for mild and trace MR respectively. After multivariate adjustment, male gender (Rate Ratio (RR) 0.96; 95% CI 0.94-0.98) was associated with shorter follow up, and Hispanic race (RR 1.11; 95% CI 1.01-1.21) was associated with longer follow-up intervals. Eight hundred and sixty-seven physicians were included in the analysis. After adjustment for patient factors, 31% of the variation in intervals was associated with provider practice and 19% of providers (161 of 867) were over-utilizers of TTEs and 24% (210 of 867) were under-utilizers. We conclude that substantial variation exists in follow up intervals for TTE assessment of MR even after risk-adjustment for clinical and demographic variables, likely due to provider factors including specialty and experience. The association of TTE interval with race and gender warrants further investigation. Improving standardization of follow-up intervals may offer opportunity to reduce both overutilization and underutilization of echocardiography.

Increased Costs Associated with Bloodstream Infections Caused by Multidrug-Resistant Gram-Negative Bacteria Are Due Primarily to Patients with Hospital-Acquired Infections.

The clinical and economic impacts of bloodstream infections (BSI) due to multidrug-resistant (MDR) Gram-negative bacteria are incompletely understood. From 2009 to 2015, all adult inpatients with Gram-negative BSI at our institution were prospectively enrolled. MDR status was defined as resistance to ≥3 antibiotic classes. Clinical outcomes and inpatient costs associated with the MDR phenotype were identified. Among 891 unique patients with Gram-negative BSI, 292 (33%) were infected with MDR bacteria. In an adjusted analysis, only history of Gram-negative infection was associated with MDR BSI versus non-MDR BSI (odds ratio, 1.60; 95% confidence interval [CI], 1.19 to 2.16; P = 0.002). Patients with MDR BSI had increased BSI recurrence (1.7% [5/292] versus 0.2% [1/599]; P = 0.02) and longer hospital stay (median, 10.0 versus 8.0 days; P = 0.0005). Unadjusted rates of in-hospital mortality did not significantly differ between MDR (26.4% [77/292]) and non-MDR (21.7% [130/599]) groups (P = 0.12). Unadjusted mean costs were 1.62 times higher in MDR than in non-MDR BSI ($59,266 versus $36,452; P = 0.003). This finding persisted after adjustment for patient factors and appropriate empirical antibiotic therapy (means ratio, 1.18; 95% CI, 1.03 to 1.36; P = 0.01). Adjusted analysis of patient subpopulations revealed that the increased cost of MDR BSI occurred primarily among patients with hospital-acquired infections (MDR means ratio, 1.41; 95% CI, 1.10 to 1.82; P = 0.008). MDR Gram-negative BSI are associated with recurrent BSI, longer hospital stays, and increased mean inpatient costs. MDR BSI in patients with hospital-acquired infections primarily account for the increased cost.

Those Left Behind From Voluntary Medical Home Reforms in Ontario, Canada.

Health systems are transitioning patients to medical homes to improve health outcomes and reduce cost. We sought to understand the characteristics and quality of care for patients who did and did not participate in the voluntary transition to medical homes. We used administrative data for diabetes monitoring and cancer screening to compare services received by patients attached to a medical home (n = 10,785,687) with services received by those seeing a fee-for-service physician (n = 1,321,800) in Ontario, Canada, on March 31, 2011. We used Poisson regression to examine associations in 2011 after adjustment for patient factors and also assessed changes in outcomes between 2001 and 2011. Patients attached to a fee-for-service physician were more likely to be immigrants and live in a low-income neighborhood and urban area. They were less likely to receive recommended testing for diabetes (25% vs 34%; adjusted relative risk [RR] = 0.74; 95% CI, 0.73-0.75) and less likely to receive screening for cervical (52% vs 66%; adjusted RR = 0.79; 95% CI, 0.79-0.79), breast (58% vs 73%; adjusted RR = 0.80; 95% CI, 0.80-0.81), and colorectal cancer (44% vs 62%; adjusted RR = 0.72; 95% CI, 0.71-0.72) compared with patients attached to a medical home physician in 2011. These differences in quality of care preceded medical home reforms. Patients left behind from medical home reforms are more likely to be poor, urban, and new immigrants and receive lower quality care. Strategies are needed to reach out to these patients and their physicians to reduce gaps in care.

Influence of hospital type on survival in stage IV colorectal cancer.

Hospital factors along with various patient and surgeon factors are considered to affect the prognosis of colorectal cancer. Hospital volume is well known, but little is known regarding other hospital factors. We reviewed data on 853 patients with stage IV colorectal cancer who underwent elective palliative primary tumor resection between January 2006 and December 2007. To detect the hospital factors that could influence the prognosis of incurable colorectal cancer, the relationships between patient/hospital factors and overall survival were analyzed. Among hospital factors, hospital type (Group A: university hospital or cancer center; Group B: community hospital), hospital volume, and number of colorectal surgeons were examined. In univariate analysis, Group A hospitals showed significantly better prognosis than Group B hospitals (p = 0.034), while hospital volume and number of colorectal surgeons were not associated with overall survival. After adjustment for patient factors in multivariate analysis, hospital type was significantly associated with overall survival (hazard ratio: 1.31; 95% confidence interval: 1.05-1.63; p = 0.016). However, there was no significant difference in short-term outcomes between hospital types. Hospital type was identified as a hospital factor that possibly affects the prognosis of stage IV colorectal cancer patients.

Clinic-level factors influencing patient outcomes on antiretroviral therapy in primary health clinics in South Africa.

To explore which clinic-level factors influence treatment outcomes in a multisite antiretroviral therapy (ART) programme in South Africa. Retrospective cohort study using 36 clinics. We used random effects modelling to investigate clinic-level factors influencing ART outcomes, adjusting for patient-level factors and accounting for clustering at clinic level. Outcomes were unsuppressed viral load (>400 copies/ml) at 24 months after ART start and time to loss to follow-up. At clinic level, the mean proportion of patients with unsuppressed viral load at 24 months was 16% (range 8-33%). Loss to follow-up was also highly variable across clinics ranging from 3.5 to 23.4/100 person-years. Unsuppressed viral load was associated with a lower doctor-patient ratio [for every 500 patients, compared with >2.6 doctors: <0.7 doctors: adjusted odds ratio (OR) 1.52, 95% confidence interval (CI) 1.04-2.21; 0.7-2.6 doctors, OR 1.33, CI 0.91-1.93, P trend 0.04] after adjustment for patient factors. Combinations of psychosocial support interventions were weakly associated with reduced loss to follow-up [>6 interventions vs. <4 interventions: hazard ratio 0.39 (CI 0.15 - 1.04), P = 0.11]. Flexibility of services, integration of services, staff motivation, staff leadership and location of clinic were not consistently associated with improved outcomes. The dominant clinic-level influences on patient outcomes were doctor : patient ratio, and combination interventions to reduce loss to follow-up. Further research is needed to define optimum staffing levels that are required to roll out ART and the combination intervention that is most effective to reduce loss to follow-up.

Practice Variation in Triple Therapy for Patients With Both Atrial Fibrillation and Coronary Artery Disease: Insights From the ACC's National Cardiovascular Data Registry.

The aim of this study was to test the hypothesis that in the United States substantial practice variation exists in triple therapy prescribing practices, unrelated to measured patient factors. Recent data have shown that the risk of bleeding on dual antiplatelet therapy and oral anticoagulation ("tripletherapy") is high, although the optimal strategy for patients with atrial fibrillation and coronary artery disease remains unclear. Using the PINNACLE (National Practice Innovation and Clinical Excellence) registry, we identified 79,875 unique patients with both atrial fibrillation/atrial flutter and myocardial infarction and/or coronary stenting within 12months. Using triple therapy as a binary outcome variable, we created a mixed-effects logistic regression model with patient factors as fixed effects and practice site as a random effect. Patient factors included age, sex, diabetes, congestive heart failure, hypertension, peripheral arterial disease, prior stroke or transient ischemic attack, history of systemic embolization, and dyslipidemia. The model was assessed with a median odds ratio to assess practice variation after adjustment for patient factors. After adjustment for patient factors, significant practice variation was suggested by a median odds ratio of 2.78 (95% confidence interval: 2.33 to 3.23). In particular, this suggests that 2 randomly selected practices would differ in their likelihood of prescribing triple therapy for an identical patient by a factor of nearly3. In the United States, there is substantial practice variation in prescribing triple therapy to eligible patients even after adjustment for patient clinical characteristics. These results suggest that opportunities exist toimprove the quality of careofthis sizable population.

The role of the hospital and health care system characteristics in readmissions after major surgery in California

Hospital readmission after major surgery is a costly problem that has been associated with patient characteristics. Because hospitals are incentivized to join accountable care organizations, interventions on a hospital or health care system level may help reduce readmissions. Our objective was to identify hospital- and systems-level characteristics associated with readmissions after major operative procedures. Retrospective analysis of California discharge abstracts with record linkage numbers for adult patients undergoing coronary artery bypass graft (CABG), colectomy or total hip/knee arthroplasty (TJA) in California acute, nonfederal hospitals in 2011. The record linkage number showed where patients were readmitted. Hierarchic logistic regression estimated the odds of readmission by hospital characteristics. There were 91,205 records analyzed: CABG (6.4%), colectomy (12.0%), and TJA (82.3%). There were 120 hospitals that performed CABG surgery; 296 performed colectomy; and 298 performed TJA. Readmission rates after CABG was 9.7%, colectomy 7.7%, and TJA 3.9%. After adjustment for patient factors, rural location was predictive of readmission after colectomy (odds ratio [OR] 2.08, 95% confidence interval [CI] 1.40-3.08). Low-volume (OR 1.54, 95% CI 1.13-2.10) and minority-serving hospitals (OR 1.18, 95% CI 1.05-1.33) were associated with greater odds of readmission after TJA. Select hospital characteristics are associated with readmissions after major operative procedures. Because financial penalties may worsen performance in vulnerable or low-resource settings, policies aimed at reducing readmissions should be attentive to the potential unintended consequences.

A multicentered prospective analysis of diagnosis, risk factors, and outcomes associated with pediatric ventilator-associated pneumonia.

To assess risk factors and outcomes associated with pediatric ventilator-associated pneumonia. Multicentered prospective observational cohort. Children's hospitals in the United States. Mechanically ventilated patients less than 18 years old. Prospective evaluation of the prevalence, risk factors, and outcomes of pediatric ventilator-associated pneumonia along with evaluation of diagnostic criterion for pediatric ventilator-associated pneumonia. The prevalence of pediatric ventilator-associated pneumonia was 5.2% (n = 2,082), for a rate of 7.1/1,000 ventilator days. Patients with ventilator-associated pneumonia had a longer unadjusted ICU length of stay (p < 0.0001) and increased length of mechanical ventilation by more than 11 days (p < 0.0001). After adjustment for patient factors, ICU length of stay (p = 0.03) and mechanical ventilation days (p = 0.001) remained significant. Patients with ventilator-associated pneumonia were almost three times more likely to die (p = 0.007). Independent risk factors for ventilator-associated pneumonia were reintubation and part-time ventilation. Pediatric ventilator-associated pneumonia is common in mechanically ventilated pediatric patients. These patients have longer length of stay, longer duration of mechanical ventilation, and increased risk for mortality.

Hyponatremia and poor cognitive outcome following pediatric brain tumor surgery.

Pediatric intracranial neoplasms are common and cause substantial neurological morbidity. Postoperative hyponatremia is also common and may exacerbate neurological injury. The authors performed an exploratory analysis to evaluate an exposure-response relationship between hyponatremia severity and cognitive function at discharge. A retrospective cohort of patients 0-19 years old who underwent a first intracranial neoplasm surgery at a pediatric tertiary care hospital was reviewed. Outcome was assessed by Pediatric Cerebral Performance Category (PCPC) score of 1-6 at hospital discharge. Poor outcome was defined as PCPC score 3-6, corresponding to moderate or worse disability. Of 319 total children, 80 (25%) had poor outcomes. One hundred thirty-seven children (43%) had serum sodium concentrations ≤ 131-135 mEq/L and 39 (12%) had serum sodium concentrations ≤ 130 mEq/L. Lower nadir sodium concentration and longer duration of hyponatremia were significantly associated with worsening PCPC score (p < 0.001). Rapid sodium decreases and more hyponatremic episodes were also significantly associated with worsening PCPC score (p < 0.001). After adjustment for patient factors, tumor characteristics, and measures of sodium disruption, multivariable analysis revealed noncortical tumor locations and lower nadir sodium concentration (adjusted odds ratio 0.86, 95% confidence interval 0.78-0.95) were important independent risk factors for poor cognitive outcome. Neurocognitive disability and hyponatremia are common in children undergoing surgery for intracranial neoplasms. This study found a significant association between severity of hyponatremia and worsened cognitive outcome, with an apparent exposure-response relationship. These data support the need for careful postoperative monitoring of serum sodium. Further research is needed to determine if prevention and treatment of hyponatremia can improve outcomes in these children.

Association between skilled nursing facility quality indicators and hospital readmissions.

Hospital readmissions are common, costly, and potentially preventable. Little is known about the association between available skilled nursing facility (SNF) performance measures and the risk of hospital readmission. To measure the association between SNF performance measures and hospital readmissions among Medicare beneficiaries receiving postacute care at SNFs in the United States. Using national Medicare data on fee-for-service Medicare beneficiaries discharged to a SNF after an acute care hospitalization between September 1, 2009, and August 31, 2010, we examined the association between SNF performance on publicly available metrics (SNF staffing intensity, health deficiencies identified through site inspections, and the percentages of SNF patients with delirium, moderate to severe pain, and new or worsening pressure ulcers) and the risk of readmission or death 30 days after discharge to a SNF. Adjusted analyses controlled for patient case mix, SNF facility factors, and the discharging hospital. Readmission to an acute care hospital or death within 30 days of the index hospital discharge. Of 1,530,824 patients discharged, 357,752 (23.3%; 99% CI, 23.3%-23.5%) were readmitted or died within 30 days; 72,472 died within 30 days (4.7%; 99% CI, 4.7%-4.8%), and 321,709 were readmitted (21.0%; 99% CI, 20.9%-21.1%). The unadjusted risk of readmission or death was lower at SNFs with better staffing ratings. SNFs ranked lowest (19.2% of all SNFs) had a 30-day risk of readmission or death of 25.5% (99% CI, 25.3%-25.8%) vs 19.8% (99% CI, 19.5%-20.1%) among those ranked highest. SNFs with better facility inspection ratings also had a lower risk of readmission or death. SNFs ranked lowest (20.1% of all SNFs) had a risk of 24.9% (99% CI, 24.7%-25.1%) vs 21.5% (99% CI, 21.2%-21.7%) among those ranked highest . Adjustment for patient factors, SNF facility factors, and the discharging hospital attenuated these associations; we observed small differences in the adjusted risk of readmission or death according to SNF facility inspection ratings (lowest vs highest rating: 23.7%; 99% CI: 23.7%, 23.7%; vs 23.0%; 99% CI: 23.0%, 23.1%). Other measures did not predict clinically meaningful differences in the adjusted risk of readmission or death. Among fee-for-service Medicare beneficiaries discharged to a SNF after an acute care hospitalization, available performance measures were not consistently associated with differences in the adjusted risk of readmission or death.

Impact of system and physician factors on the detection of obstructive coronary disease with diagnostic angiography in stable ischemic heart disease.

Wide variation exists in the detection rate of obstructive coronary artery disease (CAD) with elective coronary angiography for suspected stable ischemic heart disease. We sought to understand the incremental impact of nonclinical factors on this variation. We included all patients who underwent coronary angiography for possible suspected stable ischemic heart disease, from October 1, 2008, to September 30, 2011, in Ontario, Canada. Nonclinical factors of interest included physician self-referral for angiography, the physician type (invasive or interventional), and hospital type. Hospitals were categorized into diagnostic angiogram only centers, stand-alone percutaneous coronary intervention centers, or full service centers with coronary artery bypass surgery available. Multivariable hierarchical logistic models were developed to identify system and physician-level predictors of obstructive CAD, after adjustment for patient factors. Our cohort consisted of 60 986 patients, of whom 31 726 had obstructive CAD (52.0%), with significant range across hospitals from 37.3% to 69.2%. Fewer self-referral patients (49.8%) had obstructive CAD compared with nonself-referral patients (53.5%), with an odds ratio of 0.89 (95% confidence interval, 0.86-0.93; P<0.001). Angiograms performed by invasive physicians had a lower likelihood of obstructive CAD compared with those by interventional physicians (48.2% versus 56.9%; odds ratio, 0.85; 95% confidence interval, 0.81-0.90; P<0.001). Fewer angiograms at diagnostic only centers showed obstructive CAD (42.0%) compared with full service centers (55.1%; odds ratio, 0.62; 95% confidence interval, 0.39-0.98; P=0.04). Nonclinical factors accounted for 23.8% of the variation between hospitals. Physician and system factors are important predictors of obstructive CAD with coronary angiography.

Surgeon and Center Volume Influence on Outcomes After Arterial Switch Operation: Analysis of the STS Congenital Heart Surgery Database

The relative impact of center volume and of surgeon volume on early outcomes after the arterial switch operation (ASO) is incompletely understood. Neonates in the Society of Thoracic Surgeons Congenital Heart Surgery Database (2005-2012) undergoing ASO for transposition of the great arteries were included in the analysis. Multivariable logistic regression with adjustment for patient factors and ventricular septal defect closure was used to evaluate relationships between annual center and surgeon volume and a composite end point (in-hospital mortality or major complications). The study included 2,357 patients (84 centers, 155 surgeons). Median annual ASO center volume was 4 (range, 1 to 18). Median annual surgeon volume was 2 (range, 0.1 to 11). In-hospital mortality was 3.4%; 14.7% had major morbidity and 15.5% met the composite end point. Analyzed individually, lower center and surgeon volumes were each associated with the composite end point (odds ratios for centers with 2 versus 10 cases/y, 1.92; 95% confidence interval, 1.23 to 2.99); odds ratios for surgeons with 1 versus 6 cases/y, 2.16; 95% confidence interval, 1.42 to 3.26). When analyzed together, the addition of surgeon volume to the center volume models attenuated but did not completely mitigate the association of center volume with outcome (relative attenuation of odds ratio = 31%). Addition of center volume to surgeon volume models attenuated the association of surgeon volume with outcome to a lesser degree (relative attenuation of odds ratio = 11%). Center and surgeon volume each influence early outcomes after ASO; however, surgeon volume appears to play a more prominent role. Surgeon and center ASO volume should be considered in the context of initiatives to improve outcomes from ASO for transposition of the great arteries.

Abstract 17: Hospital Variation in Thrombolysis Times in Acute Ischemic Stroke Patients: the Contributions of Door-to-Imaging Time and Imaging-to-Needle Time

Background: Given the limited time window available for treatment with tPA in acute ischemic stroke patients, guidelines recommend door-to-imaging time within 25 minutes of hospital arrival and a door-to-needle time (DTN) within 60 minutes. Despite temporal improvements in door-to-image and DTN, tPA treatment times remain suboptimal. Objectives: To examine the contributions of door-to-image and imaging-to-needle times to delays in timely delivery of tPA to ischemic stroke patients, and to examine between-hospital variation in DTN. Methods: A cohort analysis of 1,193 ischemic stroke patients treated with intravenous tPA from 2009-2012 at 25 Michigan hospitals participating in the Paul Coverdell National Acute Stroke Registry. The primary outcome was DTN (time in minutes from emergency department arrival to tPA delivery). Multi-level linear regression models included hospital-specific random effects. Results: Mean patient age was 68 years, median NIHSS score was 11 (IQR 6-17), 51% were female, and 37% were nonwhite. Mean DTN was 82.9 ±35.4 minutes, mean door-to-imaging time was 22.8 ±15.9 minutes and mean imaging-to-needle time was 60.1 ±32.3 minutes. A majority of patients had door-to-imaging within 25 minutes (68.4%) but only a minority had DTN within 60 minutes (28.7%). At the patient level door-to-imaging time was only modestly correlated with DTN (r= 0.41), conversely image-to-needle time was strongly correlated with DTN (r= 0.89) (figure). In the multi-level model the hospital random effect accounted for only 12.7% of variability in door-to-needle time. Neither annual stroke volume nor primary stroke center designation was a significant predictor of better DTN. Patient factors (age, race, sex, arrival mode, onset-to-arrival time, and stroke severity) explained 15.4% of the between-hospital variation in DTN. After adjustment for patient factors, door-to-imaging time explained only 10.8% of the variation in hospital risk-adjusted DTN, while imaging-to-needle time explained 64.6%. Conclusion: Compared to door-to-imaging time, imaging-to-needle time was more closely correlated with DTN and a much greater contributor to variability in hospital door-to-needle times. More attention to systems changes that can decrease imaging-to-needle time for acute ischemic stroke patients is now needed.

Influence of hospital-level practices on readmission after ischemic stroke.

To inform stroke quality improvement initiatives by determining the relationship between hospital-level stroke practices and readmission after accounting for patient-level factors. Retrospective cohort study of adult patients hospitalized for ischemic stroke (principal ICD-9-CM codes 433.x1, 434.x1, and 436) in 5 states from 2003 to 2009 from State Inpatient Databases. The primary outcome was any unplanned readmission within 30 days. Multilevel logistic regression was used to estimate the association between hospital-level practice patterns of care (diagnostic testing, procedures, intensive care unit, tissue plasminogen activator, and therapeutic modalities) and readmission after adjustment for patient factors and whether individual patients received a given practice. Thirty-day unplanned readmission occurred in 15.2% of stroke admissions; the median hospital readmission rate was 13.6% (interquartile range 9.8%-18.2%). Of the 25 hospital practice patterns of care analyzed, 3 practices were associated with readmission: hospitals with higher use of occupational therapy and higher proportion of transfers from other hospitals had lower adjusted readmission rates, whereas hospitals with higher use of hospice had higher predicted readmission rates. Readmission rates in lowest vs highest utilizing quintile were as follows: occupational therapy 16.2% (95% confidence interval [CI] 14.5%-18.0%) vs 12.3% (95% CI 11.3%-13.2%); transfers 13.8% (95% CI 13.2%-14.5%) vs 12.5% (95% CI 11.6%-13.5%); and hospice 13.1% (95% CI 12.3%-14.0%) vs 14.8% (95% CI 13.5%-16.1%). Hospital practices have a role in stroke readmission that is complex and poorly understood. Further work is needed to identify specific strategies to reduce readmission rates and to ensure that public reporting of readmission rates will not result in adverse unintended consequences.

Patterns of statin initiation, intensification, and maximization among patients hospitalized with an acute myocardial infarction.

Intensive statins are superior to moderate statins in reducing morbidity and mortality after an acute myocardial infarction. Although studies have documented rates of statin prescription as a quality performance measure, variations in hospitals' rates of initiating, intensifying, and maximizing statin therapy after acute myocardial infarction are unknown. We assessed statin use at admission and discharge among 4340 acute myocardial infarction patients from 24 US hospitals (2005-2008). Hierarchical models estimated site variation in statin initiation in naïve patients, intensification in those undergoing submaximal therapy, and discharge on maximal therapy (defined as a statin with expected low-density lipoprotein cholesterol lowering ≥ 50%) after adjustment for patient factors, including low-density lipoprotein cholesterol level. Site variation was explored with a median rate ratio, which estimates the relative difference in risk ratios of 2 hypothetically identical patients at 2 different hospitals. Among statin-naïve patients, 87% without a contraindication were prescribed a statin, with no variability across sites (median rate ratio, 1.02). Among patients who arrived on submaximal statins, 26% had their statin therapy intensified, with modest site variability (median rate ratio, 1.47). Among all patients without a contraindication, 23% were discharged on maximal statin therapy, with substantial hospital variability (median rate ratio, 2.79). In a large, multicenter acute myocardial infarction cohort, statin therapy was begun in nearly 90% of patients during hospitalization, with no variability across sites; however, rates of statin intensification and maximization were low and varied substantially across hospitals. Given that more intense statin therapy is associated with better outcomes, changing the existing performance measures to include the intensity of statin therapy may improve care.

Institution specific risk factors for 30 day readmission at a community hospital: a retrospective observational study

BackgroundAs of October 1, 2012, hospitals in the United States with excess readmissions based on the Centers for Medicare and Medicaid Services (CMS) risk-adjusted ratio began being penalized. Given the impact of high readmission rates to hospitals nationally, it is important for individual hospitals to identify which patients may be at highest risk of readmission. The objective of this study was to assess the association of institution specific factors with 30-day readmission.MethodsThe study is a retrospective observational study using administrative data from January 1, 2009 through December 31, 2010 conducted at a 257 bed community hospital in Massachusetts. The patients included inpatient medical discharges from the hospitalist service with the primary diagnoses of congestive heart failure, pneumonia or chronic obstructive pulmonary disease. The outcome was 30-day readmission rates. After adjusting for known factors that impact readmission, provider associated factors (i.e. hours worked and census on the day of discharge) and hospital associated factors (i.e. floor of discharge, season) were compared.ResultsOver the study time period, there were 3774 discharges by hospitalists, with 637 30-day readmissions (17% readmission rate). By condition, readmission rates were 19.6% (448/2284) for congestive heart failure, 13.0% (141/1083) for pneumonia, and 14.7% (200/1358) for chronic obstructive lung disease. After adjusting for known risk factors (gender, age, length of stay, Elixhauser sum score, admission in the previous year, insurance, disposition, primary diagnosis), we found that patients discharged in the winter remained significantly more likely to be readmitted compared to the summer (OR 1.54, p = 0.0008). Patients discharged from the cardiac floor had a trend toward decreased readmission compared a medical/oncology floor (OR 0.85, p = 0.08). Hospitalist work flow factors (census and hours on the day of discharge) were not associated with readmission.ConclusionsWe found that 30 day hospital readmissions may be associated with institution specific risk factors, even after adjustment for patient factors. These institution specific risk factors may be targets for interventions to prevent readmissions.

Association of Body Mass Index and Mortality After Acute Ischemic Stroke

The prevalence of severe obesity is rising in the United States. Although mild to moderately elevated body mass index (BMI) is associated with reduced mortality after acute ischemic stroke, less is known about severe obesity. Patients with acute ischemic stroke (n=1791) ≥45 years were identified from the biethnic population-based Brain Attack Surveillance in Corpus Christi (BASIC) study from June 1, 2005, to December 31, 2010. Median follow-up was 660 days. BMI was abstracted from the medical record. Survival was estimated by BMI category (underweight, normal weight, overweight, class 1 obesity, class 2 obesity, and severe obesity) using Kaplan-Meier methods. Hazard ratios for the relationship between BMI modeled continuously and mortality were estimated from Cox regression models after adjustment for patient factors. The median BMI was 27.1 kg/m(2) (interquartile range, 23.7-31.2 kg/m(2)), and 56% were Mexican American. A total of 625 patients (35%) died during the study period. Persons with higher baseline BMI had longer survival in unadjusted analysis (P<0.01). After adjustment for demographics, stroke severity, and stroke and mortality risk factors, the relationship between BMI and mortality was U shaped. The lowest mortality risk was observed among patients with an approximate BMI of 35 kg/m(2), whereas those with lower or higher BMI had higher mortality risk. Severe obesity is associated with increased poststroke mortality in middle-aged and older adults. Stroke patients with class 2 obesity had the lowest mortality risk. More research is needed to determine weight management goals among stroke survivors.

Variations in Coronary Artery Disease Secondary Prevention Prescriptions Among Outpatient Cardiology Practices: Insights From the NCDR (National Cardiovascular Data Registry)

This study assessed practice variations in secondary prevention medication prescriptions among coronary artery disease (CAD) patients treated in outpatient practices participating in the National Cardiovascular Data Registry (NCDR) Practice Innovation and Clinical Excellence (PINNACLE) registry.Among patients with CAD, secondary prevention with a combination of beta-blockers, angiotensin-converting enzyme inhibitors/angiotensin receptor blockers, and statins reduces cardiac mortality and myocardial infarction (MI). Accordingly, every CAD patient should receive the combination of these medications for which they are eligible. However, little is known about current prescription patterns of these medications and the variation in use among outpatient cardiology clinics.Using data from NCDR PINNACLE registry, a national outpatient cardiology practice registry, we assessed medication prescription patterns among eligible CAD patients, between July 2008 and December 2010. Overall rates of prescription and variation by practice were calculated, adjusting for patient characteristics.Among 156,145 CAD patients in 58 practices, 103,830 (66.5%) patients were prescribed the optimal combination of medications for which they were eligible. The median rate of optimal combined prescription by practice was 73.5% and varied from 28.8% to 100%. After adjustment for patient factors, the practice median rate ratio for prescription was 1.25 (95% confidence interval: 1.20 to 1.32), indicating a 25% likelihood that 2 random practices would differ in treating identical CAD patients.Among a national registry of CAD patients treated in outpatient cardiology practices, over one-third of patients failed to receive their optimal combination of secondary prevention medications. Significant variation was observed across practices, even after adjusting for patient characteristics, suggesting that quality improvement efforts may be needed to support more uniform practice.

The associations between race and geographic area and quality-of-care indicators in patients approaching ESRD.

Pre-ESRD care is an important predictor of outcomes in patients undergoing long-term dialysis. This study examined the extent of variation in receiving pre-ESRD care and black-white disparities across urban and rural counties. Participants were 404,622 non-Hispanic white and black patients aged >18 years who began dialysis between 2005 and 2010 and resided in 3076 counties from the U.S. Renal Data System. The counties were grouped into large metropolitan, medium/small metropolitan, suburban, and rural counties. Pre-ESRD care indicators included receipt of nephrologist care at least 6 or 12 months before ESRD, dietitian care, use of arteriovenous fistula at first outpatient dialysis session, and use of erythropoiesis-stimulating agents (ESAs) in patients with hemoglobin level < 10 g/dl. Large metropolitan and rural counties had lower percentages of patients who received pre-ESRD nephrologist care (25.7% and 26.9% for nephrologist care > 12 months), compared with the higher percentage in medium/small metropolitan counties (31.6%; both P<0.001). For both races, nonmetropolitan patients had poorer access to dietitian care and lower ESA use than metropolitan patients. Consistently in all four geographic areas, black patients received less care than their white counterparts. The unadjusted odds ratios of black versus white patients in receiving nephrologist care for >12 months before ESRD were 0.66 (95% confidence interval [CI], 0.61-0.72) in large metropolitan counties and 0.79 (95% CI, 0.69-0.90) in rural counties. The patterns remained, albeit attenuated, after adjustment for patient factors. The receipt of pre-ESRD care, with blacks receiving less care, varies among geographic areas defined by urban/rural characteristics.