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There are wide disparities in health across the US population. The identification of geographic health priority areas for Medicare could inform efforts to eliminate health disparities and improve health care. In a sample of 3,282 counties with more than 73 million unique Medicare beneficiaries in the period 1999-2014, we identified geographical areas-"hot spots"-with persistently higher adjusted mortality rates for older adults compared with the rest of the country. During the study period, the risk-standardized mortality rates decreased from 5.52 percent to 4.61 percent (a 0.91-percentage-point change) for the priority areas and from 5.16 percent to 4.11 percent (a 1.05-percentage-point change) for other areas. Faced with decisions surrounding allocation of scarce resources and marked geographic disparities, the identification and prioritization of hot spots may be one way to eliminate disparities and improve health care.

Background: Little is known regarding the relationship between hospital performance on adverse event rates and hospital performance on 30-day mortality and unplanned readmission rates for Medicare fee-for-service patients hospitalized for acute myocardial infarction (AMI)., Methods and Results: Using 2009-2013 medical record-abstracted patient safety data from the Agency for Healthcare Research and Quality's Medicare Patient Safety Monitoring System and hospital mortality and readmission data from the Centers for Medicare & Medicaid Services, we fitted a mixed-effects model, adjusting for hospital characteristics, to evaluate whether hospital performance on patient safety, as measured by the hospital-specific risk-standardized occurrence rate of 21 common adverse event measures for which patients were at risk, is associated with hospital-specific 30-day all-cause risk-standardized mortality and unplanned readmission rates for Medicare patients with AMI. The unit of analysis was at the hospital level. The final sample included 793 acute care hospitals that treated 30 or more Medicare patients hospitalized for AMI and had 40 or more adverse events for which patients were at risk. The occurrence rate of adverse events for which patients were at risk was 3.8%. A 1% point change in the risk-standardized occurrence rate of adverse events was associated with average changes in the same direction of 4.86% points (95% CI, 0.79-8.94) and 3.44% points (95% CI, 0.19-6.68) for the risk-standardized mortality and unplanned readmission rates, respectively., Conclusions: For Medicare fee-for-service patients discharged with AMI, hospitals with poorer patient safety performance were also more likely to have poorer performance on 30-day all-cause mortality and on unplanned readmissions., (© 2016 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley Blackwell.)

Purpose: Despite dramatic changes in heart failure management during the 1990s, little is known about the national heart failure mortality trends during this time period, particularly among the elderly. The purpose of this study was to determine temporal trends in outcomes of elderly patients with heart failure between 1992 and 1999., Subjects and Methods: We analyzed a national sample of 3,957,520 Medicare beneficiaries aged 65 years or more who were hospitalized with heart failure between 1992 and 1999, assessing temporal trends in 30-day and 1-year all-cause mortality and 30-day and 6-month all-cause hospital readmission. In risk-adjusted analyses, mortality and readmission for each year between 1994 and 1999 were compared with the referent year of 1993., Results: Crude 30-day and 1-year mortality decreased slightly (range for 1992-1999: 11.0%-10.3% and 32.5%-31.7%, respectively), whereas 30-day and 6-month readmission increased (10.2%-13.8% and 35.4%-40.3%, respectively). After risk adjustment, there was no change in 30-day mortality between 1993 and 1999 (eg, for 1999 vs 1993, odds ratio [OR] 1.01, 95% confidence interval [CI], 1.00-1.02). One-year mortality was lower in 1994 compared with 1993 (OR 0.91, 95% CI, 0.90-0.92), but data from subsequent years suggested no continuous improvement after 1994 (1999 vs 1993: OR 0.93, 95% CI, 0.92-0.94). Thirty-day readmission increased (1999 vs 1993: OR 1.09, 95% CI, 1.07-1.10), but there was no change in 6-month readmission (1999 vs 1993: OR 1.00, 95% CI, 0.99-1.01)., Conclusion: We found no substantial improvement in mortality and hospital readmission during the 1990s among elderly patients hospitalized with heart failure. These findings suggest that recent innovations in heart failure management have not yet translated into better outcomes in this population.

Background: Individuals with schizophrenia exposed to second-generation antipsychotics (SGA) have an increased risk for diabetes, with aripiprazole purportedly a safer drug. Less is known about the drugs' mortality risk or whether serious mental illness (SMI) diagnosis or race/ethnicity modify these effects. Methods: Authors created a retrospective cohort of non-elderly adults with SMI initiating monotherapy with an SGA (olanzapine, quetiapine, risperidone, and ziprasidone, aripiprazole) or haloperidol during 2008–2013. Three-year diabetes incidence or all-cause death risk differences were estimated between each drug and aripiprazole, the comparator, as well as effects within SMI diagnosis and race/ethnicity. Sensitivity analyses evaluated potential confounding by indication. Results: 38 762 adults, 65% White and 55% with schizophrenia, initiated monotherapy, with haloperidol least (6%) and quetiapine most (26·5%) frequent. Three-year mortality was 5% and diabetes incidence 9.3%. Compared with aripiprazole, haloperidol and olanzapine reduced diabetes risk by 1.9 (95% CI 1.2–2.6) percentage points, or a 18.6 percentage point reduction relative to aripiprazole users' unadjusted risk (10.2%), with risperidone having a smaller advantage. Relative to aripiprazole users' unadjusted risk (3.4%), all antipsychotics increased mortality risk by 1.1–2.2 percentage points, representing 32.4–64.7 percentage point increases. Findings within diagnosis and race/ethnicity were generally consistent with overall findings. Only quetiapine's higher mortality risk held in sensitivity analyses. Conclusions: Haloperidol's, olanzapine's, and risperidone's lower diabetes risks relative to aripiprazole were not robust in sensitivity analyses but quetiapine's higher mortality risk proved robust. Findings expand the evidence on antipsychotics' risks, suggesting a need for caution in the use of quetiapine among individuals with SMI. [ABSTRACT FROM AUTHOR]

Objective: To investigate risk-adjusted, 30-day postdischarge heart failure mortality and readmission rates stratified by hospital teaching intensity.Data Sources and Study Setting: A total of 709 221 Medicare fee-for-service beneficiaries discharged from 3135 US hospitals between 1/1/2013 and 11/30/2014 with a principal diagnosis of heart failure.Study Design: Hospitals were classified as Council of Teaching Hospitals and Health Systems (COTH) major teaching hospitals, non-COTH teaching hospitals, and nonteaching hospitals. Hospital teaching status was linked with MedPAR patient data and FY2016 Hospital Readmission Reduction Program penalties. Index hospitalization survival probabilities were estimated with hierarchical logistic regression and used to stratify index hospitalization survivors into severity deciles. Decile-specific models were estimated for 30-day postdischarge readmission and mortality. Thirty-day postdischarge outcomes were estimated by teaching intensity and penalty categories.Principal Findings: Averaged across deciles, adjusted 30-day COTH hospital readmission rates were, on a relative scale ([COTH minus nonteaching] ÷ nonteaching), 1.63 percent higher (95% CI: 0.89 percent, 2.25 percent) than at nonteaching hospitals, but their average adjusted 30-day postdischarge mortality rates were 11.55 percent lower (95% CI: -13.78 percent, -9.37 percent). Penalized COTH hospitals had the highest readmission rates of all categories (23.99 percent [95% CI: 23.50 percent, 24.49 percent]) but the lowest 30-day postdischarge mortality (8.30 percent [95% CI: 7.99 percent, 8.57 percent] vs 9.84 percent [95% CI: 9.69 percent, 9.99 percent] for nonpenalized, nonteaching hospitals).Conclusions: Heart failure readmission penalties disproportionately impact major teaching hospitals and inadequately credit their better postdischarge survival. [ABSTRACT FROM AUTHOR]

Machine learning algorithms are increasingly used in the clinical literature, claiming advantages over logistic regression. However, they are generally designed to maximize the area under the receiver operating characteristic curve. While area under the receiver operating characteristic curve and other measures of accuracy are commonly reported for evaluating binary prediction problems, these metrics can be misleading. We aim to give clinical and machine learning researchers a realistic medical example of the dangers of relying on a single measure of discriminatory performance to evaluate binary prediction questions. Prediction of medical complications after surgery is a frequent but challenging task because many post-surgery outcomes are rare. We predicted post-surgery mortality among patients in a clinical registry who received at least one aortic valve replacement. Estimation incorporated multiple evaluation metrics and algorithms typically regarded as performing well with rare outcomes, as well as an ensemble and a new extension of the lasso for multiple unordered treatments. Results demonstrated high accuracy for all algorithms with moderate measures of cross-validated area under the receiver operating characteristic curve. False positive rates were < 1%, however, true positive rates were < 7%, even when paired with a 100% positive predictive value, and graphical representations of calibration were poor. Similar results were seen in simulations, with the addition of high area under the receiver operating characteristic curve (> 90%) accompanying low true positive rates. Clinical studies should not primarily report only area under the receiver operating characteristic curve or accuracy. [ABSTRACT FROM AUTHOR]

Objectives: To investigate the association between hospital safety culture and 30-day risk-adjusted mortality for Medicare patients with acute myocardial infarction (AMI) in a large, diverse hospital cohort.Subjects: The final analytic cohort consisted of 19,357 Medicare AMI discharges (MedPAR data) linked to 257 AHRQ Hospital Survey on Patient Safety Culture surveys from 171 hospitals between 2008 and 2013.Study Design: Observational, cross-sectional study using hierarchical logistic models to estimate the association between hospital safety scores and 30-day risk-adjusted patient mortality. Odds ratios of 30-day, all-cause mortality, adjusting for patient covariates, hospital characteristics (size and teaching status), and several different types of safety culture scores (composite, average, and overall) were determined.Principal Findings: No significant association was found between any measure of hospital safety culture and adjusted AMI mortality.Conclusions: In a large cross-sectional study from a diverse hospital cohort, AHRQ safety culture scores were not associated with AMI mortality. Our study adds to a growing body of investigations that have failed to conclusively demonstrate a safety culture-outcome association in health care, at least with widely used national survey instruments. [ABSTRACT FROM AUTHOR]

Importance: The Affordable Care Act has led to US national reductions in hospital 30-day readmission rates for heart failure (HF), acute myocardial infarction (AMI), and pneumonia. Whether readmission reductions have had the unintended consequence of increasing mortality after hospitalization is unknown.Objective: To examine the correlation of paired trends in hospital 30-day readmission rates and hospital 30-day mortality rates after discharge.Design, Setting, and Participants: Retrospective study of Medicare fee-for-service beneficiaries aged 65 years or older hospitalized with HF, AMI, or pneumonia from January 1, 2008, through December 31, 2014.Exposure: Thirty-day risk-adjusted readmission rate (RARR).Main Outcomes and Measures: Thirty-day RARRs and 30-day risk-adjusted mortality rates (RAMRs) after discharge were calculated for each condition in each month at each hospital in 2008 through 2014. Monthly trends in each hospital's 30-day RARRs and 30-day RAMRs after discharge were examined for each condition. The weighted Pearson correlation coefficient was calculated for hospitals' paired monthly trends in 30-day RARRs and 30-day RAMRs after discharge for each condition.Results: In 2008 through 2014, 2 962 554 hospitalizations for HF, 1 229 939 for AMI, and 2 544 530 for pneumonia were identified at 5016, 4772, and 5057 hospitals, respectively. In January 2008, mean hospital 30-day RARRs and 30-day RAMRs after discharge were 24.6% and 8.4% for HF, 19.3% and 7.6% for AMI, and 18.3% and 8.5% for pneumonia. Hospital 30-day RARRs declined in the aggregate across hospitals from 2008 through 2014; monthly changes in RARRs were -0.053% (95% CI, -0.055% to -0.051%) for HF, -0.044% (95% CI, -0.047% to -0.041%) for AMI, and -0.033% (95% CI, -0.035% to -0.031%) for pneumonia. In contrast, monthly aggregate changes across hospitals in hospital 30-day RAMRs after discharge varied by condition: HF, 0.008% (95% CI, 0.007% to 0.010%); AMI, -0.003% (95% CI, -0.005% to -0.001%); and pneumonia, 0.001% (95% CI, -0.001% to 0.003%). However, correlation coefficients in hospitals' paired monthly changes in 30-day RARRs and 30-day RAMRs after discharge were weakly positive: HF, 0.066 (95% CI, 0.036 to 0.096); AMI, 0.067 (95% CI, 0.027 to 0.106); and pneumonia, 0.108 (95% CI, 0.079 to 0.137). Findings were similar in secondary analyses, including with alternate definitions of hospital mortality.Conclusions and Relevance: Among Medicare fee-for-service beneficiaries hospitalized for heart failure, acute myocardial infarction, or pneumonia, reductions in hospital 30-day readmission rates were weakly but significantly correlated with reductions in hospital 30-day mortality rates after discharge. These findings do not support increasing postdischarge mortality related to reducing hospital readmissions. [ABSTRACT FROM AUTHOR]

Background. Recent reductions in average door-to-balloon (D2B) times have not been associated with decreases in mortality at the population level. We investigated this seemingly paradoxical finding by assessing components of this association at the individual and population levels simultaneously. We postulated that the changing population of patients undergoing primary percutaneous coronary intervention (pPCI) contributed to secular trends toward an increasing mortality risk, despite consistently decreased mortality in individual patients with shorter D2B times. Methods. This was a retrospective study of ST-elevation myocardial infarction (STEMI) patients who underwent pPCI between Jan 1, 2005, and Dec 31, 2011, in the National Cardiovascular Data Registry (NCDR) CathPCI Registry. We looked for catheterisation laboratory visits associated with STEMI. We excluded patients not undergoing pPCI, transfer patients for pPCI, patients with D2B times less than 15 min or more than 3 h, and patients at hospitals that did not consistently report data across the study period. We assessed in-hospital mortality in the entire cohort and 6-month mortality in elderly patients aged 65 years or older matched to data from the Centers for Medicare and Medicaid Services. We built multilevel models to assess the relation between D2B time and in-hospital and 6-month mortality, including both individual and population-level components o f this association after adjusting for patient and procedural factors. Findings. 423 hospitals reported data on 150116 procedures with a 55% increase in the number of patients undergoing pPCI at these facilities over time, as well as many changes in patient and procedural factors. Annual D2B times decreased significantly from a median of 86 m in (IQR 65-109) in 2005 to 63 min (IQR 47-80) in 2011 (p<0 ⋅ 0001) with a concurrent rise in risk-adjusted in-hospital mortality (from 4-7% to 5 -3%; p=0-06) and risk-adjusted 6-month mortality (from 12 ⋅ 9% to 14 ⋅ 4%; p=0 ⋅001). In multilevel models, shorter patient-specific D2B times were consistently associated at the individual level with lower in-hospital mortality (adjusted OR for each 10 min decrease 0 ⋅ 92; 95% Cl 0⋅91-0⋅93; p<0⋅0001) and 6-month mortality (adjusted OR for each 10 min decrease, 0⋅94; 95% Cl 0⋅93-0⋅95; p<0⋅0001). By contrast, risk-adjusted in-hospital and 6-month mortality at the population level, independent of patient-specific D2B times, rose in the growing and changing population o f patients undergoing pPCI during the study period. Interpretation. Shorter patient-specific D2B times were consistently associated with lower mortality over time, whereas secular trends suggest increased mortality risk in the growing and changing pPCI population. The absence of association of annual D2B time and changes in mortality at the population level should not be interpreted as an indication of its individual-level relation in patients with STEMI undergoing primary PCI. [ABSTRACT FROM AUTHOR]

Objective: To characterize hospitals based on patterns of their combined financial and clinical outcomes for heart failure hospitalizations longitudinally.Data Source: Detailed cost and administrative data on hospitalizations for heart failure from 424 hospitals in the 2005-2011 Premier database.Study Design: Using a mixture modeling approach, we identified groups of hospitals with distinct joint trajectories of risk-standardized cost (RSC) per hospitalization and risk-standardized in-hospital mortality rate (RSMR), and assessed hospital characteristics associated with the distinct patterns using multinomial logistic regression.Principal Findings: During 2005-2011, mean hospital RSC decreased from $12,003 to $10,782, while mean hospital RSMR declined from 3.9 to 3.2 percent. We identified five distinct hospital patterns: highest cost and low mortality (3.2 percent of the hospitals), high cost and low mortality (20.4 percent), medium cost and low mortality (34.6 percent), medium cost and high mortality (6.2 percent), and low cost and low mortality (35.6 percent). Longer hospital stay and greater use of intensive care unit and surgical procedures were associated with phenotypes with higher costs or greater mortality.Conclusions: Hospitals vary substantially in the joint longitudinal patterns of cost and mortality, suggesting marked difference in value of care. Understanding determinants of the variation will inform strategies for improving the value of hospital care. [ABSTRACT FROM AUTHOR]

Importance Randomized trials of implantable cardioverter-defibrillators (ICDs) for primary prevention predominantly used single-chamber devices. In clinical practice, patients often receive dual-chamber ICDs, even without clear indications for pacing. The outcomes of dual- vs single-chamber devices are uncertain. Objective To compare outcomes of single- and dual-chamber ICDs for primary prevention of sudden cardiac death. Design, Setting, and Participants Retrospective cohort study of admissions in the National Cardiovascular Data Registry's (NCDR) ICD registry from 2006-2009 that could be linked to Centers for Medicare & Medicaid Services fee-for-service Medicare claims data. Patients were included if they received an ICD for primary prevention and did not have a documented indication for pacing. Main Outcomes and Measures Adjusted risks of 1-year mortality, all-cause read-mission, heart failure readmission, and device-related complications within 90 days were estimated with propensity-score matching based on patient, clinician, and hospital factors. Results Among 32 034 patients, 12 246(38%) received a single-chamber device and 19 788 (62%) received a dual-chamber device. In a propensity-matched cohort, rates of complications were lower for single-chamber devices (3.51 % vs 4.72%; P< .001; risk difference, -1.20 [95% CI, -1.72 to -0.69]), but device type was not significantly associated with 1 -year mortality (unadjusted rate, 9.85% vs 9.77%; hazard ratio [HR], 0.99 [95% CI, 0.91 to 1.07]; P=.79), 1-year all-cause hospitalization (unadjusted rate, 43.86% vs 44.83%; HR, 1.00 [95% CI, 0.97-1.04]; P=.82), or hospitalization for heart failure (unadjusted rate, 14.73% vs 15.38%; HR, 1.05 [95% CI, 0.99-1.12]; P=.19). Conclusions and Relevance Among patients receiving an ICD for primary prevention without indications for pacing, the use of a dual-chamber device compared with a single-chamber device was associated with a higher risk of device-related complications and similar 1 -year mortality and hospitalization outcomes. Reasons for preferentially using dual-chamber ICDs in this setting remains unclear. [ABSTRACT FROM AUTHOR]

Background: Cardiologists are distributed unevenly across regions of the United States. It is unknown whether patients in regions with fewer cardiologists have worse outcomes after hospitalization for acute myocardial infarction (AMI) or heart failure (HF).Methods and Results: Using Medicare administrative claims data from 2010, we examined the relationship between regional density of cardiologists and risk of death after hospitalization for AMI and HF using hospitalizations for pneumonia as a comparison. We defined density as the number of cardiologists divided by population aged≥65 years within hospital referral regions, categorized into quintiles. Among 171 126 admissions for AMI, 352 853 admissions for HF, and 343 053 admissions for pneumonia, we tested associations between density of cardiologists and 30-day and 1-year mortality for each condition. We used 2-level hierarchical logistic regression models that adjusted for characteristics of patients and hospital referral regions. Patients hospitalized for AMI (odds ratios [OR], 1.13; 95% confidence interval [CI], 1.06-1.21) and HF (OR, 1.19; 95% CI, 1.12-1.27) in the lowest quintile of density had modestly higher 30-day mortality risk compared with patients in the highest quintile, unlike patients hospitalized for pneumonia (OR, 1.02; 95% CI, 0.96-1.09). Patients hospitalized for AMI (OR, 1.06; 95% CI, 1.00-1.12) and HF (OR, 1.09; 95% CI, 1.04-1.13) in the lowest quintile had slightly higher 1-year mortality risk, unlike patients hospitalized for pneumonia (OR, 1.00; 95% CI, 0.95-1.05).Conclusions: Patients hospitalized for AMI and HF in regions with a low density of cardiologists experienced modestly higher 30-day and 1-year mortality risk, unlike patients with pneumonia. [ABSTRACT FROM AUTHOR]

The article presents a research study that aims to characterize the performance variation in coronary artery bypass grafting (CABG) across hospitals in China. Methods employed are described using sample drawn from the Chinese Cardiac Surgery Registry database to estimate hospital-level risk-standardized in-hospital all-cause mortality rates (RSMR) and major complication rates (RSMCR). Results are discussed indicating low mortality and complication rates but varied by hospital and region.

Objectives: This study investigated the impact of adding novel elements to models predicting in-hospital mortality after percutaneous coronary interventions (PCIs). Background: Massachusetts mandated public reporting of hospital-specific PCI mortality in 2003. In 2006, a physician advisory group recommended adding to the prediction models 3 attributes not collected by the National Cardiovascular Data Registry instrument. These “compassionate use” (CU) features included coma on presentation, active hemodynamic support during PCI, and cardiopulmonary resuscitation at PCI initiation. Methods: From October 2005 through September 2007, PCI was performed during 29,784 admissions in Massachusetts nonfederal hospitals. Of these, 5,588 involved patients with ST-segment elevation myocardial infarction or cardiogenic shock. Cases with CU criteria identified were adjudicated by trained physician reviewers. Regression models with and without the CU composite variable (presence of any of the 3 features) were compared using areas under the receiver-operator characteristic curves. Results: Unadjusted mortality in this high-risk subset was 5.7%. Among these admissions, 96 (1.7%) had at least 1 CU feature, with 69.8% mortality. The adjusted odds ratio for in-hospital death for CU PCIs (vs. no CU criteria) was 27.3 (95% confidence interval: 14.5 to 47.6). Discrimination of the model improved after including CU, with areas under the receiver-operating characteristic curves increasing from 0.87 to 0.90 (p < 0.01), while goodness of fit was preserved. Conclusions: A small proportion of patients at extreme risk of post-PCI mortality can be identified using pre-procedural factors not routinely collected, but that heighten predictive accuracy. Such improvements in model performance may result in greater confidence in reporting of risk-adjusted PCI outcomes. [Copyright &y& Elsevier]

The article discusses a study which investigated the impact of adjudication on identifying hospitals with possible deficiencies in the quality of percutaneous coronary intervention (PCI) care. To predict patient-specific in-hospital mortality, logistic regression models were used. Results showed that 12.4% of patients who died after PCI had a lower predicted mortality with adjudicated than with unadjudicated data. In addition, risk-standardized mortality rates were similar using unadjudicated and adjudicated data.

Background: Patient outcomes provide a critical perspective on quality of care. The Centers for Medicare and Medicaid Services (CMS) is publicly reporting hospital 30-day risk-standardized mortality rates (RSMRs) and risk-standardized readmission rates (RSRRs) for patients hospitalized with acute myocardial infarction (AMI) and heart failure (HF). We provide a national perspective on hospital performance for the 2010 release of these measures.Methods and Results: The hospital RSMRs and RSRRs are calculated from Medicare claims data for fee-for-service Medicare beneficiaries, 65 years or older, hospitalized with AMI or HF between July 1, 2006, and June 30, 2009. The rates are calculated using hierarchical logistic modeling to account for patient clustering, and are risk-adjusted for age, sex, and patient comorbidities. The median RSMR for AMI was 16.0% and for HF was 10.8%. Both measures had a wide range of hospital performance with an absolute 5.2% difference between hospitals in the 5th versus 95th percentile for AMI and 5.0% for HF. The median RSRR for AMI was 19.9% and for HF was 24.5% (3.9% range for 5th to 95th percentile for AMI, 6.7% for HF). Distinct regional patterns were evident for both measures and both conditions.Conclusions: High RSRRs persist for AMI and HF and clinically meaningful variation exists for RSMRs and RSRRs for both conditions. Our results suggest continued opportunities for improvement in patient outcomes for HF and AMI. [ABSTRACT FROM AUTHOR]

The article presents a study which evaluates the overall performance of eldery Medicare patients, who were hospitalized due to heart failure (HF). The 30-day outcomes of these patients at heart transplant centers were calculated via risk-standardization models, which were used by the U.S. Centers for Medicare & Medicaid Services (CMS) for public reporting. The result shows that the 30-day mortality rate in heart transplant centers is lower compared with non-heart transplant hospitals.

The article focuses on an observational study which estimated hospital-level 30-day risk-standardized mortality rates (RSMRs) for patients discharged with acute myocardial infarction (AMI). Administrative data and a validated risk model were used to evaluate 3,195,672 discharges in 2,755,370 patients discharged from nonfederal acute care hospitals in the U.S. between January 1, 1995 to December 31, 2006. A significant decrease was observed in the risk-standardized hospital mortality rate for Medicare patients discharged with AMI, as well as between-hospital variation.

Quality reports or profiles of health care providers are inevitably based on only a measurable subset of the "outputs" of the organization. Hospitals, for example, are being profiled on their mortality in the cardiac area but not in some other areas where mortality does not seem to be the appropriate measure of quality. If inputs used for outputs included in the profile also affect outputs outside the scope of the profile, it can be taken into account in constructing a profile of the measured outputs. This paper presents a theory for how such a commonality in production should be taken into account in designing a profile for a hospital or other health care provider. We distinguish between "conventional" weights in a quality profile, and "optimal" weights that take into account a commonality in the production process. The basic idea is to increase the weights on discharges for which output is measured that use inputs that are important to other discharges whose outputs are not included in the profile. [ABSTRACT FROM AUTHOR]

Rural U.S. communities face major challenges in ensuring the availability of high-quality health care. We examined whether hospital-specific, all-cause, thirty-day risk-standardized mortality rates (RSMRs) following acute myocardial infarction, heart failure, and pneumonia varied by hospitals' geographic remoteness. We analyzed 2001-2003 Medicare administrative data, comparing RSMRs among hospitals located in urban, large rural, small rural, or remote small rural regions. We found only small mortality differences across remoteness regions for hospitalizations for the three conditions. We examine the implications of these findings for the millions of Americans who rely upon rural hospitals for their care. [ABSTRACT FROM AUTHOR]

The article discusses a study that examines whether hospitals ranked by U.S. News & World Report have a lower mortality rate in the treatment of acute myocardial infarction (AMI) than nonranked hospitals. On average, admission to a ranked hospital for AMI was tied with a lower risk of 30-day mortality. However, one third of the ranked hospitals fell outside the best performing quartile based on risk-standardized, 30-day mortality rates

Antipsychotic drugs are widely used to manage behavioral and psychological symptoms in dementia despite concerns about their safety. To examine the association between treatment with antipsychotics (both conventional and atypical) and all-cause mortality. Population-based retrospective cohort study. Ontario, Canada. Older adults with dementia who were followed between 1 April 1997 and 31 March 2003. The risk for death was determined at 30, 60, 120, and 180 days after the initial dispensing of antipsychotic medication. Two pairwise comparisons were made: atypical versus no antipsychotic use and conventional versus atypical antipsychotic use. Groups were stratified by place of residence (community or long-term care). Propensity score matching was used to adjust for differences in baseline health status. A total of 27 259 matched pairs were identified. New use of atypical antipsychotics was associated with a statistically significant increase in the risk for death at 30 days compared with nonuse in both the community-dwelling cohort (adjusted hazard ratio, 1.31 [95% Cl, 1.02 to 1.70]; absolute risk difference, 0.2 percentage point) and the long-term care cohort (adjusted hazard ratio, 1.55 [Cl, 1.15 to 2.07]; absolute risk difference, 1.2 percentage points). Excess risk seemed to persist to 180 days, but unequal rates of censoring over time may have affected these results. Relative to atypical antipsychotic use, conventional antipsychotic use was associated with a higher risk for death at all time points. Sensitivity analysis revealed that unmeasured confounders that in- crease the risk for death could diminish or eliminate the observed associations. Limitations: Information on causes of death was not available. Many patients did not continue their initial treatments after 1 month of therapy. Unmeasured confounders could affect associations. Conclusions: Atypical antipsychotic use is associated with an increased risk for death compared with nonuse among older adults with dementia. The risk for death may be greater with conventional antipsychotics than with atypical antipsychotics. [ABSTRACT FROM AUTHOR]

Background: Patients of low socioeconomic status (SES) have higher mortality after acute myocardial infarction (AMI). Little is known about the underlying mechanisms or the relationship between SES and rehospitalization after AMI. Methods: We analyzed data from the PREMIER observational study, which included 2142 patients hospitalized with AMI from 18 US hospitals. Socioeconomic status was measured by self-reported household income and education level. Sequential multivariable modeling assessed the relationship of socioeconomic factors with 1-year all-cause mortality and all-cause rehospitalization after adjustment for demographics, clinical factors, and quality-of-care measures. Results: Both household income and education level were associated with higher risk of mortality (hazard ratio 2.80, 95% CI 1.37-5.72, lowest to highest income group) and rehospitalization after AMI (hazard ratio 1.55, 95% CI 1.17-2.05). Patients with low SES had worse clinical status at admission and received poorer quality of care. In multivariable modeling, the relationship between household income and mortality was attenuated by adjustment for demographic and clinical factors (hazard ratio 1.19, 95% CI 0.54-2.62), with a further small decrement in the hazard ratio after adjustment for quality of care. The relationship between income and rehospitalization was only partly attenuated by demographic and clinical factors (hazard ratio 1.38, 95% CI 1.01-1.89) and was not influenced by adjustment for quality of care. Conclusions: Patients'' baseline clinical status largely explained the relationship between SES and mortality, but not rehospitalization, among patients with AMI. [Copyright &y& Elsevier]

Background: Previous studies have been unable to disentangle the negative associations of black race and low socioeconomic status (SES) with long-term outcomes of patients after acute myocardial infarction (AMI). Such information could assist in efforts to address both racial and socioeconomic disparities.Methods and Results: We used data from the Cooperative Cardiovascular Project, a prospective cohort study of Medicare beneficiaries hospitalized with AMI with 17 years of follow-up, to evaluate the relationship between race, area-level SES (measured by zip code-level median household income), and life expectancy after AMI. Life expectancy was estimated by using Cox proportional hazards regression with extrapolation using exponential models. Of the 141 095 patients with AMI, 6.3% were black and 6.8% resided in low-SES areas; 26% of black patients lived in low-SES areas in comparison with 5.7% of white patients. Post-myocardial infarction life expectancy estimates were shorter for black patients than for white patients across all socioeconomic levels in patients ≤ 75 years of age. After adjustment for patient and treatment characteristics, the association between race and life expectancy persisted but was attenuated. Younger black patients (<68 years) had shorter life expectancies than white patients, whereas older black patients had longer life expectancies. The largest white-black gap in life expectancy occurred in patients residing in high- and medium-SES areas (P=0.02 interaction).Conclusions: Black and white patients residing in low-SES areas have similar life expectancies after AMI, which are lower than those living in higher-SES areas. Racial disparities were most prominent among patients living in high-SES areas. [ABSTRACT FROM AUTHOR]

• Although excess mortality in persons with mental disorders has been well documented, limited reports on changes in mortality trends have been conflicting. • We found based on a national-level data that decline trends in mortality in persons with mental disorders differ by primary diagnosis, while more than 50 % of the trend was counted by risk factors at individual level. Further evidence was found that multilevel risk factors as identified by the WHO MIF model were associated with mortality of individuals with psychiatric diagnoses and could have large impact on time trend of mortality. • Understanding changes in mortality trends and associated factors which are preventable and modifiable for individuals with specific psychiatric diagnosis help in developing targeted service and intervention strategies in bringing down mortality further for the population globally. This study aims to examine 20-year temporal trends in all-cause mortality among psychiatric patients and investigating impacts of risk factors on the time trends based on 218,703 Finnish adults with mental disorders who were discharged from 87 psychiatric hospitals between 1 Jan 1995 and 31 Dec 2014. The age-period-cohort analysis of Poisson model with random hospital effects estimated temporal trends in death rate and associated factors at individual, healthcare system, and society levels, following the WHO multilevel intervention framework model for six major psychiatric diagnosis. The adjusted annual mortality declined by 2.2 % annually (RR: 0.978 [95 % CI 0.976–0.980]) for all individuals, and by 2.8 % after adjusting for all risk factors, with varied decreasing rate between 2.0 % and 3.6 % by diagnosis. Individual level factors accounted for the declining rate by 54.5 % for all patients, with the highest impact on patients with personality disorders, followed by patients with affective disorders and patients with schizophrenia. Identified declining trends and associated factors which are preventable and modifiable for individuals with specific psychiatric diagnosis may lead to develop targeted service and intervention strategies in bringing down mortality further for the population. [ABSTRACT FROM AUTHOR]

A response by David M. Shahian, Lisa I. Iezzoni and Sharon-Lise T. Norman to a letter to the editor about their article on the problems of poverty and association between hospital mortality and quality of care in the December 23, 2010 issue is presented.

Background--Insured adults receive invasive cardiovascular procedures more frequently than uninsured adults. We examined the impact of healthcare reform in Massachusetts on use of coronary revascularization procedures and in-hospital and 1-year mortality by race/ethnicity, education, and sex. Methods and Results--Using hospital claims data, we compared differences in coronary revascularization rates (coronary artery bypass grafting or percutaneous coronary intervention) and in-hospital mortality by race/ethnicity, education, and sex among Massachusetts residents aged 21 to 64 years hospitalized with a principal discharge diagnosis of ischemic heart disease before (November 1, 2004, to July 31, 2006) and after (December 1, 2006, to September 30, 2008) reform; 1-year mortality was calculated for those undergoing revascularization. Adjusted logistic regression assessed 24 216 discharges before reform and 20 721 discharges after reform. Blacks had 30% lower odds of receiving coronary revascularization than whites in the prereform period. Compared with whites in the postreform period, blacks (odds ratio=0.73; 95% confidence interval, 0.63-0.84) and Hispanics (odds ratio= 0.84; 95% confidence interval, 0.74-0.97) were less likely and Asians (odds ratio=1.29; 95% confidence interval, 1.01-1.65) were more likely to receive coronary revascularization. Patients living in more educated communities, men, and persons with private insurance were more likely to receive coronary revascularization before and after reform. Compared with the prereform period, the adjusted odds of in-hospital mortality were higher in patients living in less-educated communities in the postreform period. No differences in 1-year mortality by race/ethnicity, education, or sex for revascularized patients were observed before or after reform. Conclusions--Reducing insurance barriers to receipt of coronary revascularization procedures has not yet eliminated preexisting demographic and educational disparities in access to these procedures. [ABSTRACT FROM AUTHOR]

Objectives: This study sought to determine hospital variation in the use of positive inotropic agents in patients with heart failure. Background: Clinical guidelines recommend targeted use of positive inotropic agents in highly selected patients, but data are limited and the recommendations are not specific. Methods: We analyzed data from 376 hospitals including 189,948 hospitalizations for heart failure from 2009 through 2010. We used hierarchical logistic regression models to estimate hospital-level risk-standardized rates of inotrope use and risk-standardized in-hospital mortality rates. Results: The risk-standardized rates of inotrope use ranged across hospitals from 0.9% to 44.6% (median: 6.3%, interquartile range: 4.3% to 9.2%). We identified various hospital patterns based on the type of agents: dobutamine-predominant (29% of hospitals), dopamine-predominant (25%), milrinone-predominant (1%), mixed dobutamine and dopamine pattern (32%), and mixed pattern including all 3 agents (13%). When studying the factors associated with interhospital variation, the best model performance was with the hierarchical generalized linear models that adjusted for patient case mix and an individual hospital effect (receiver operating characteristic curves from 0.77 to 0.88). The intraclass correlation coefficients of the hierarchical generalized linear models (0.113 for any inotrope) indicated that a noteworthy proportion of the observed variation was related to an individual institutional effect. Hospital rates or patterns of use were not associated with differences in length of stay or risk-standardized mortality rates. Conclusions: We found marked differences in the use of inotropic agents for heart failure patients among a diverse group of hospitals. This variability, occurring in the context of little clinical evidence, indicates an urgent need to define the appropriate use of these medications. [Copyright &y& Elsevier]

Background: Several countries use hospital-wide mortality rates to evaluate the quality of hospital care, although the usefulness of this metric has been questioned. Massachusetts policymakers recently requested an assessment of methods to calculate this aggregate mortality metric for use as a measure of hospital quality. Methods: The Massachusetts Division of Health Care Finance and Policy provided four vendors with identical information on 2,528,624 discharges from Massachusetts acute care hospitals from October 1, 2004, through September 30, 2007. Vendors applied their risk-adjustment algorithms and provided predicted probabilities of in-hospital death for each discharge and for hospital-level observed and expected mortality rates. We compared the numbers and characteristics of discharges and hospitals included by each of the four methods. We also compared hospitals' standardized mortality ratios and classification of hospitals with mortality rates that were higher or lower than expected, according to each method. Results: The proportions of discharges that were included by each method ranged from 28% to 95%, and the severity of patients' diagnoses varied widely. Because of their discharge-selection criteria, two methods calculated in-hospital mortality rates (4.0% and 5.9%) that were twice the state average (2.1%). Pairwise associations (Pearson correlation coefficients) of discharge-level predicted mortality probabilities ranged from 0.46 to 0.70. Hospital-performance categorizations varied substantially and were sometimes completely discordant. In 2006, a total of 12 of 28 hospitals that had higher-than-expected hospital-wide mortality when classified by one method had lower-than-expected mortality when classified by one or more of the other methods. Conclusions: Four common methods for calculating hospital-wide mortality produced substantially different results. This may have resulted from a lack of standardized national eligibility and exclusion criteria, different statistical methods, or fundamental flaws in the hypothesized association between hospital-wide mortality and quality of care. (Funded by the Massachusetts Division of Health Care Finance and Policy.) N Engl J Med 2010;363:2530-9. [ABSTRACT FROM AUTHOR]