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Objectives. We determined the proportion of workers meeting criteria for major depressive episodes in the past year and examined the association between psychosocial work-stress variables and these episodes. Methods. Data were derived from the Canadian Community Health Survey 1.2, a population-based survey of 24324 employed, community-dwelling individuals conducted in 2002. We assessed depressive episodes using the Composite International Diagnostic Interview. Results. Of the original sample, 4.6% (weighted n=745948) met criteria for major depressive episodes. High job strain was significantly associated with depression among men (odds ratio [OR]=2.38; 95% confidence interval [CI]=1.29, 4.37), and lack of social support at work was significantly associated with depression in both genders (men, OR=2.70; 95% CI=1.55, 4.71; women, OR=2.37; 95% CI=1.71, 3.29). Women with low levels of decision authority were more Likely to have depression (OR=1.59; 95% CI=1.06, 2.39) than were women with high levels of authority. Conclusions. A significant proportion of the workforce experienced major depressive episodes in the year preceding our study. Gender differences appear to affect work-stress factors that increase risk for depression. Prevention strategies need to be developed with employers and employee organizations to address work organization and to increase social support. (doi:10.2105/AJPH.2006.104406)

BACKGROUND. Performance measures are essential components of public reporting and quality improvement. To date, few such measures exist to provide a comprehensive assessment of the quality of emergency department services for children. OBJECTIVES. Our goal was to use a systematic process to develop measures of emergency department care for children (0-19 years) that are (1) based on research evidence and expert opinion, (2) representative of a range of conditions treated in most emergency departments, (3) related to links between processes and outcomes, and (4) feasible to measure. METHODS. We presented a panel of providers and managers data from emergency department use to identify common conditions across levels of patient acuity, which could be targets for quality improvement. We used a structured panel process informed by a literature review to (1) identify condition-specific links between processes of care and defined outcomes and (2) select indicators to assess these process-outcome links. We determined the feasibility of calculating these indicators using an administrative data set of emergency department visits for Ontario, Canada. RESULTS. The panel identified 18 clinical conditions for indicator development and 61 condition-specific links between processes of care and outcomes. After 2 rounds of ratings, the panel defined 68 specific clinical indicators for the following conditions: adolescent mental health problems, ankle injury, asthma, bronchiolitis, croup, diabetes, fever, gastroenteritis, minor head injury, neonatal jaundice, seizures, and urinary tract infections. Visits for these conditions account for 23% of all pediatric emergency department use. Using an administrative data set, we were able to calculate 19 indicators, covering 9 conditions, representing 20% of all emergency department visits by children. CONCLUSIONS. Using a structured panel process, data on emergency department use, and literature review, it was possible to define indicators of emergency department care for children. The feasibility of these indicators will depend on the availability of high-quality data. www.pediatrics.org/cgi/doi/10.1542/peds.2005-3029 doi:10.1542/peds.2005-3029 Key Words emergency department, performance measures, pediatrics, quality Abbreviations ED--emergency department NACRS--National Ambulatory Care Reporting System, PUBLIC REPORTING ON performance and quality improvement is increasingly recognized as a professional and institutional priority. Performance measures are an essential component of both of these activities. These measures allow [...]

We compared manual and computer-assisted bloodstream infection surveillance for adult inpatients at two hospitals. We identified hospital-acquired, primary, central-venous catheter (CVC)-associated bloodstream infections by using five methods: retrospective, manual record [...]

Abstract Background Acquired Brain Injury (ABI) from traumatic and non traumatic causes is a leading cause of disability worldwide yet there is limited research summarizing the health system economic burden associated with ABI. The objective of this study was to determine the direct cost of publicly funded health care services from the initial hospitalization to three years post-injury for individuals with traumatic (TBI) and non-traumatic brain injury (nTBI) in Ontario Canada. Methods A population-based cohort of patients discharged from acute hospital with an ABI code in any diagnosis position in 2004 through 2007 in Ontario was identified from administrative data. Publicly funded health care utilization was obtained from several Ontario administrative healthcare databases. Patients were stratified according to traumatic and non-traumatic causes of brain injury and whether or not they were discharged to an inpatient rehabilitation center. Health system costs were calculated across a continuum of institutional and community settings for up to three years after initial discharge. The continuum of settings included acute care emergency departments inpatient rehabilitation (IR) complex continuing care home care services and physician visits. All costs were calculated retrospectively assuming the government payer’s perspective. Results Direct medical costs in an ABI population are substantial with mean cost in the first year post-injury per TBI and nTBI patient being $32132 and $38018 respectively. Among both TBI and nTBI patients those discharged to IR had significantly higher treatment costs than those not discharged to IR across all institutional and community settings. This tendency remained during the entire three-year follow-up period. Annual medical costs of patients hospitalized with a brain injury in Ontario in the first follow-up year were approximately $120.7 million for TBI and $368.7 million for nTBI. Acute care cost accounted for 46-65% of the total treatment cost in the first year overwhelming all other cost components. Conclusions The main finding of this study is that direct medical costs in ABI population are substantial and vary considerably by the injury cause. Although most expenses occur in the first follow-up year ABI patients continue to use variety of medical services in the second and third year with emphasis shifting over time from acute care and inpatient rehabilitation towards homecare physician services and long-term institutional care. More research is needed to capture economic costs for ABI patients not admitted to acute care.

Abstract Background The aim of this paper is to examine factors associated with discharge destination after acquired brain injury in a publicly insured population using the Anderson Behavioral Model as a framework. Methods We utilized a retrospective cohort design. Inpatient data from provincial acute care records from fiscal years 2003/4 to 2006/7 with a diagnostic code of traumatic brain injury (TBI) and non-traumatic brain injury (nTBI) in Ontario, Canada were obtained for the study. Using multinomial logistic regression models, we examined predisposing, need and enabling factors from inpatient records in relation to major discharge outcomes such as discharge to home, inpatient rehabilitation and other institutionalized care. Results Multinomial logistic regression revealed that need factors were strongly correlated with discharge destinations overall. Higher scores on the Charlson Comorbidity Index were associated with discharge to other institutionalized care in the nTBI population. Length of stay and special care days were identified as markers for severity and were both strongly positively correlated with discharge to other institutionalized care and inpatient rehabilitation, compared to discharge home, in both nTBI and TBI populations. Injury by motor vehicle collisions was found to be positively correlated with discharge to inpatient rehabilitation and other institutionalized care for patients with TBI. Controlling for need factors, rural location was associated with discharge to home versus inpatient rehabilitation. Conclusions These findings show that need factors (Charlson Comorbidity Index, length of stay, and number of special care days) are most significant in terms of discharge destination. However, there is evidence that other factors such as rural location and access to supplemental insurance (e.g., through motor vehicle insurance) may influence discharge destination outcomes as well. These findings should be considered in creating more equitable access to healthcare services across the continuum of care.

Abstract Background Emergency departments are medical treatment facilities, designed to provide episodic care to patients suffering from acute injuries and illnesses as well as patients who are experiencing sporadic flare-ups of underlying chronic medical conditions which require immediate attention. Supply and demand for emergency department services varies across geographic regions and time. Some persons do not rely on the service at all whereas; others use the service on repeated occasions. Issues regarding increased wait times for services and crowding illustrate the need to investigate which factors are associated with increased frequency of emergency department utilization. The evidence from this study can help inform policy makers on the appropriate mix of supply and demand targeted health care policies necessary to ensure that patients receive appropriate health care delivery in an efficient and cost-effective manner. The purpose of this report is to assess those factors resulting in increased demand for emergency department services in Ontario. We assess how utilization rates vary according to the severity of patient presentation in the emergency department. We are specifically interested in the impact that access to primary care physicians has on the demand for emergency department services. Additionally, we wish to investigate these trends using a series of novel regression models for count outcomes which have yet to be employed in the domain of emergency medical research. Methods Data regarding the frequency of emergency department visits for the respondents of Canadian Community Health Survey (CCHS) during our study interval (2003-2005) are obtained from the National Ambulatory Care Reporting System (NACRS). Patients' emergency department utilizations were linked with information from the Canadian Community Health Survey (CCHS) which provides individual level medical, socio-demographic, psychological and behavioral information for investigating predictors of increased emergency department utilization. Six different multiple regression models for count data were fitted to assess the influence of predictors on demand for emergency department services, including: Poisson, Negative Binomial, Zero-Inflated Poisson, Zero-Inflated Negative Binomial, Hurdle Poisson, and Hurdle Negative Binomial. Comparison of competing models was assessed by the Vuong test statistic. Results The CCHS cycle 2.1 respondents were a roughly equal mix of males (50.4%) and females (49.6%). The majority (86.2%) were young-middle aged adults between the ages of 20-64, living in predominantly urban environments (85.9%), with mid-high household incomes (92.2%) and well-educated, receiving at least a high-school diploma (84.1%). Many participants reported no chronic disease (51.9%), fell into a small number (0-5) of ambulatory diagnostic groups (62.3%), and perceived their health status as good/excellent (88.1%); however, were projected to have high Resource Utilization Band levels of health resource utilization (68.2%). These factors were largely stable for CCHS cycle 3.1 respondents. Factors influencing demand for emergency department services varied according to the severity of triage scores at initial presentation. For example, although a non-significant predictor of the odds of emergency department utilization in high severity cases, access to a primary care physician was a statistically significant predictor of the likelihood of emergency department utilization (OR: 0.69; 95% CI OR: 0.63-0.75) and the rate of emergency department utilization (RR: 0.57; 95% CI RR: 0.50-0.66) in low severity cases. Conclusion Using a theoretically appropriate hurdle negative binomial regression model this unique study illustrates that access to a primary care physician is an important predictor of both the odds and rate of emergency department utilization in Ontario. Restructuring primary care services, with aims of increasing access to undersupplied populations may result in decreased emergency department utilization rates by approximately 43% for low severity triage level cases.