Readmission among hospitalized patients with nonvalvular atrial fibrillation.

PURPOSE: Hospital readmission rates for patients with nonvalvular atrial fibrillation (NVAF), as well as reasons and risk factors for rehospitalization, were investigated. METHODS: Demographic, clinical, and prescription claims data on patients hospitalized for atrial fibrillation (AF) over a five-year period were extracted from insurance claims databases; from that data set, a subset of adults with NVAF on whom continuous data were available before and after the index admission (n = 6439) was identified, and their 30-day readmission rate was examined. RESULTS: The overall 30-day readmission rate was 18.0%. The five most common readmission diagnoses (grouped per International Classification of Diseases codes) were general and other nonspecific symptoms (12.8% of readmitted patients), AF (10.2%), ischemic heart disease (7.2%), heart failure (7.1%) and cerebrovascular disease (6.0%). Controlling for demographic and clinical variables,index admission factors associated with an increased risk of readmission included a longer hospital length of stay, higher Charlson Comorbidity Index scores, and admission through the emergency room (p ≤ 0.01 for all). For the subset of patients discharged from the index admission to home self-care (n = 1161), no individual follow-up care measure evaluated (a physician or other medical office visit, International Normalized Ratio testing, filling an anticoagulant prescription) taken within 7 days of discharge correlated with reduced readmission risk during postdischarge days 8-30. CONCLUSION: The 30-day readmission rate for patients hospitalized with NVAF was comparable to rates previously documented among patients with other cardiac conditions. Symptoms, AF, ischemic heart disease, heart failure, and cerebrovascular disease were the most common reasons for readmission.

The inpatient experience and predictors of length of stay for patients hospitalized with systolic heart failure: comparison by commercial, Medicaid, and Medicare payer type.

OBJECTIVE: Descriptions of the inpatient experience for patients hospitalized with systolic heart failure (HF) are limited and lack a cross-sectional representation of the US population. While length of stay (LOS) is a primary determinant of resource use and post-discharge events, few models exist for estimating LOS. RESEARCH DESIGN AND METHODS: MarketScan(®) administrative claims data from 1/1/2005-6/30/2008 were used to select hospitalized patients aged ≥18 years with discharge diagnoses for both HF (primary diagnosis) and systolic HF (any diagnostic position) without prior HF hospitalization or undergoing transplantation. RESULTS: Among 17,597 patients with systolic HF; 4109 had commercial; 2118 had Medicaid; and 11,370 had Medicare payer type. Medicaid patients had longer mean LOS (7.1 days) than commercial (6.3 days) or Medicare (6.7 days). In-hospital mortality was highest for patients with Medicaid (2.4%), followed by Medicare (1.3%) and commercial (0.6%). Commercial patients were more likely to receive inpatient procedures. Renal failure, pressure ulcer, malnutrition, a non-circulatory index admission DRG, receipt of a coronary artery bypass procedure or cardiac catheterization, or need for mechanical ventilation during the index admission were associated with increased LOS; receipt of a pacemaker device at index was associated with shorter LOS. LIMITATIONS: Selection of patients with systolic HF is limited by completeness and accuracy of medical coding, and results may not be generalizable to patients with diastolic HF or to international populations. CONCLUSION: Inpatient care, LOS, and in-hospital survival differ by payer among patients hospitalized with systolic HF, although co-morbidity and inpatient procedures consistently influence LOS across payer types. These findings may refine risk stratification, allowing for targeted intensive inpatient management and/or aggressive transitional care to improve outcomes and increase the efficiency of care.

Rates and predictors of 30-day readmission among commercially insured and Medicaid-enrolled patients hospitalized with systolic heart failure.

BACKGROUND: Heart failure (HF) readmission rates are primarily derived from Medicare enrollees. Given increasing public scrutiny of HF readmissions, understanding the rate and predictors in populations covered by other payers is also important, particularly among patients with systolic dysfunction, for whom most HF-specific therapies are targeted. METHODS AND RESULTS: MarketScan Commercial and Medicaid Administrative Claims Databases were used to identify all first hospitalizations with an International Classification of Diseases-9 discharge diagnosis code for HF (primary position) and systolic HF (any position) between January 1, 2005, and June 30, 2008. Among 4584 unique systolic HF index admissions (mean age 55 years), 30-day crude readmission rates were higher for Medicaid than commercially insured patients: all-cause 17.4% versus 11.8%; HF-related 6.7% versus 4.0%, respectively. In unadjusted analysis, higher comorbidity and prior healthcare utilization predicted readmission; age, sex, and plan type did not. After adjustment for case mix, the odds of all-cause and HF-related readmission were 32% and 68% higher, respectively, among Medicaid than commercially insured patients (P<0.02 for both). No significant differences in readmission rates were seen for managed care versus fee-for-service or capitated versus noncapitated plan types. CONCLUSIONS: Compared with commonly cited Medicare HF readmission rates of 20% to 25%, Medicaid patients with systolic HF had lower 30-day readmission rates, and commercially insured patients had even lower rates. Even after adjustment for case mix, Medicaid patients were more likely to be readmitted than commercially insured patients, suggesting that more attention should be focused on readmissions among socioeconomically disadvantaged populations.

Incidence and prevalence of idiopathic inflammatory myopathies among commercially insured, Medicare supplemental insured, and Medicaid enrolled populations: an administrative claims analysis.

BACKGROUND: Idiopathic inflammatory myopathies (IIMs) are a rare group of autoimmune syndromes characterized by chronic muscle inflammation and muscle weakness with no known cause. Little is known about their incidence and prevalence. This study reports the incidence and prevalence of IIMs among commercially insured and Medicare and Medicaid enrolled populations in the US. METHODS: We retrospectively examined medical claims with an IIM diagnosis (ICD-9-CM 710.3 [dermatomyositis (DM)], 710.4 [polymyositis (PM)], 728.81[interstitial myositis]) in the MarketScan® databases to identify age- and gender-adjusted annual IIM incidence and prevalence for 2004-2008. Sensitivity analysis was performed for evidence of a specialist visit (rheumatologist/ neurologist/dermatologist), systemic corticosteroid or immunosuppressant use, or muscle biopsy. RESULTS: We identified 2,990 incident patients between 2004 and 2008 (67% female, 17% Medicaid enrollees, 27% aged ≥65 years). Overall adjusted IIM incidence for 2004-2008 for commercial and Medicare supplemental groups combined were 4.27 cases (95% CI, 4.09-4.44) and for Medicaid, 5.23 (95% CI 4.74-5.72) per 100,000 person-years (py). Disease sub-type incidence rates per 100,000-py were 1.52 (95% CI 1.42-1.63) and 1.70 (1.42-1.97) for DM, 2.46 (2.33-2.59) and 3.53 (3.13-3.94) for PM, and 0.73 (0.66-0.81) and 0.78 (0.58-0.97) for interstitial myositis for the commercial/Medicare and Medicaid cohorts respectively. Annual incidence fluctuated over time with the base MarketScan populations. There were 7,155 prevalent patients, with annual prevalence ranging from 20.62 to 25.32 per 100,000 for commercial/Medicare (83% of prevalent cases) and from 15.35 to 32.74 for Medicaid. CONCLUSIONS: We found higher IIM incidence than historically reported. Employer turnover, miscoding and misdiagnosing, care seeking behavior, and fluctuations in database membership over time can influence the results. Further studies are needed to confirm the incidence and prevalence of IIM.

Community-company relations in gold mining in Ghana.

As a result of Structural Adjustment Programme from the 1980s, many developing countries have experienced an increase in resource extraction activities by international and transnational corporations. The work reported here examines the perceived impacts of gold mining at the community level in the Wassa West District of Ghana, Africa and discusses those perceived impacts in the context of globalization processes and growing multinational corporate interest in Corporate Social Responsibility (CSR). Interview data compared community members' perceptions with those of company representatives in three communities. The results indicate that communities held companies responsible for a series of economic, social, and environmental changes. While recognizing some of the benefits brought by the mines, communities felt that the companies did not live up to their responsibility to support local development. Companies responded by denying, dismissing concerns, or shifting blame. Findings from this work show that lack of engagement and action by government agencies at all levels resulted in companies acting in a surrogate governmental capacity. In such situations, managing expectations is key to community-company relations.

Exploring obesogenic food environments in Edmonton, Canada: the association between socioeconomic factors and fast-food outlet access.

PURPOSE: To explore the relationship between the placement of fast-food outlets and neighborhood-level socioeconomic variables by determining if indicators of lower socioeconomic status were predictive of exposure to fast food. DESIGN: A descriptive analysis of the fast-food environment in a Canadian urban center, using secondary analysis of census data and Geographic Information Systems technology. SETTING: Edmonton, Alberta, Canada. MEASURES: Neighborhoods were classified as High, Medium, or Low Access based on the number of fast-food opportunities available to them. Neighborhood-level socioeconomic data (income, education, employment, immigration status, and housing tenure) from the 2001 Statistics Canada federal census were obtained. ANALYSIS: A discriminant function analysis was used to determine if any association existed between neighborhood demographic characteristics and accessibility of fast-food outlets. RESULTS: Significant differences were found between the three levels of fast-food accessibility across the socioeconomic variables, with successively greater percentages of unemployment, low income, and renters in neighborhoods with increasingly greater access to fast-food restaurants. A high score on several of these variables was predictive of greater access to fast-food restaurants. CONCLUSION: Although a causal inference is not possible, these results suggest that the distribution of fast-food outlets relative to neighborhood-level socioeconomic status requires further attention in the process of explaining the increased rates of obesity observed in relatively deprived populations.

The association between neighborhood socioeconomic status and exposure to supermarkets and fast food outlets.

This study examines whether exposure to supermarkets and fast food outlets varies with neighborhood-level socioeconomic status in Edmonton, Canada. Only market area and fast food proximity predicted supermarket exposure. For fast food outlets, the odds of exposure were greater in areas with more Aboriginals, renters, lone parents, low-income households, and public transportation commuters; and lower in those with higher median income and dwelling value. Low wealth, renter-occupied, and lone parent neighborhoods had greater exposure to fast food outlets, which was not offset by better supermarket access. The implications are troubling for fast food consumption among lone parent families in light of growing obesity rates among children.

Synoptic weather patterns and modification of the association between air pollution and human mortality.

To assess whether meteorological conditions modify the relationship between short-term exposure to ambient air pollution and mortality, an examination of air pollution and human mortality associations (ecologic) using hybrid spatial synoptic classification procedures was conducted. Concentrations of air pollutants and human mortality from all non-accidental and cardiorespiratory causes were examined according to typical winter and summer synoptic climatologies in Toronto, Canada, between 1981 and 1999. Air masses were derived using a hybrid spatial synoptic classification procedure associating each day over the 19-year period with one of six different typical weather types, or a transition between two weather types. Generalized linear models (GLMs) were used to assess the risk of mortality from air pollution within specific air mass type subsets. Mortality follows a distinct seasonal pattern with a maximum in winter and a minimum in summer. Average air pollution concentrations were similar in both seasons with the exception of elevated sulfur dioxide levels in winter and elevated ozone levels in summer. Subtle changes in meteorological composition can alter the strength of pollutant associations with health outcomes, especially in the summer season. Although there does not appear to be any systematic patterning of modification, variation in pollutant concentrations seems dependent on the type of synoptic category present.

The role of air pollution in the relationship between a heat stress index and human mortality in Toronto.

In this study we considered confounding from air pollutants and chronological variables in the relation between humidex, a summer temperature and humidity index, and nonaccidental mortality, from 1980-1996 in Toronto, Canada. Changes in the risk of death by age group, gender, and combined cardiac-respiratory cause of death were estimated for both 1 degree C and 50-95th percentile increases in humidex using a generalized additive linear model. With air pollution terms in the models, relative risk (RR) point estimates narrowly exceeded 1.0 for all groups. Humidex effects were most apparent for females (RR=1.006, 95% CI=1.004-1.008 per 1 degree C humidex and RR=1.089, 95% CI=1.058-1.121 for 50th to 95th percentile humidex). When air pollution was omitted from the model, RR in the 50-95th percentile analysis increased less than 1.71% for all groups except females, for which RR decreased 1.42%. Differences in RR per 1 degree C humidex were all less than 0.12%. Confidence intervals narrowed slightly for all groups investigated. Heat stress has a statistically significant, yet minimal impact on Toronto populations, and air pollution does appear to have a small, but consistent confounding effect on humidex effect estimates.

The spatial and temporal dimensions of child pedestrian injury in Edmonton.

OBJECTIVES: This paper describes the temporal and spatial distribution of child pedestrian injury within Edmonton, Alberta for four fiscal years (1995-96 through 1998-99), and compares this pattern to temporal and spatial data on traffic volume. METHODS: We used injury data obtained through an ongoing emergency department (ED) surveillance system involving all hospitals in Alberta's Capital Health Region. We identified peak times of injury occurrence and the location of high injury incidence as indicated by census tract of residence. Empirical Bayes estimation procedures were used to calculate stable injury incidence ratios. Cartographic and correlation analyses identified the relationship between traffic volume and injury incidence. RESULTS: Child pedestrian injury occurred most frequently during morning (0700-0900 hrs) and late afternoon (1500-1800 hrs) which corresponds with peak periods of vehicular traffic flow. The highest incidence rates occurred in or near areas of high traffic volume, notably in the central and west-central parts of Edmonton. DISCUSSION: These findings emphasize the importance of considering spatial and temporal patterns in pedestrian injury research, as well as the need to incorporate these patterns in prevention strategies. Changing the times that children attend school may reduce the convergence of pedestrian and vehicular traffic.

The El Niño southern oscillation and malaria epidemics in South America.

A better understanding of the relationship between the El Niño Southern Oscillation (ENSO), the climatic anomalies it engenders, and malaria epidemics could help mitigate the world-wide increase in incidence of this mosquito-transmitted disease. The purpose of this paper is to assess the possibility of using ENSO forecasts for improving malaria control. This paper analyses the relationship between ENSO events and malaria epidemics in a number of South American countries (Colombia, Ecuador, French Guiana, Guyana, Peru, Suriname, and Venezuela). A statistically significant relationship was found between El Niño and malaria epidemics in Colombia, Guyana, Peru, and Venezuela. We demonstrate that flooding engenders malaria epidemics in the dry coastal region of northern Peru, while droughts favor the development of epidemics in Colombia and Guyana, and epidemics lag a drought by 1 year in Venezuela. In Brazil, French Guiana, and Ecuador, where we did not detect an ENSO/malaria signal, non-climatic factors such as insecticide sprayings, variation in availability of anti-malaria drugs, and population migration are likely to play a stronger role in malaria epidemics than ENSO-generated climatic anomalies. In some South American countries, El Niño forecasts show strong potential for informing public health efforts to control malaria.