RESUMO
OBJECTIVES: The objective was to identify the effects of gender and other predictors of change in the salary of academic emergency physicians over a four sequential time period of survey administration, across a sample of physicians within different emergency departments (EDs) and within states representing the four main geographical regions of the United States. METHODS: This was a successive cross-sectional observational study of EDs in the United States using an annual salary survey distributed to all Association of Academic Chairs in Emergency Medicine (AACEM) and Academy of Administrators in Academic Emergency Medicine (AAAEM) members in 2013, 2015, 2016, and 2017 with a sample size of 7,102 respondents over all time periods. The primary variable of interest was the adjusted base salary, calculated to be the full-time effort of the physician without any enhancements (e.g., without stipend, release time, extra hours). Institutional predictive variables included U.S. region that ED was in and if the site was an academic or community academic hybrid ("community") ED. Individual level variables included gender, academic rank, years at academic rank, years at rank within the ED, and primary duty (clinical or other). A series of Wilcoxon tests were conducted to determine if the unadjusted difference in salaries by gender for each year of the survey were significantly different. The effects of relative change in adjusted base salary over time were assessed using a mixed-effects regression model, with institutional- and individual-level predictors included in the model. RESULTS: Data were provided by 81 departments across the four geographic regions of the United States (Northeast, South, West, and Midwest). Most of the survey respondents across the four time periods of administration were male (65%) and reported primary clinical appointments at an academic ED (94%). Overall salaries increased across the four time points of the data with an overall relative 10.8% (95% confidence interval [CI] = 9.6%-12%) change in median salary between 2013 and 2017; the relative percentage change for female respondents was 10.6% (95% CI = 9.4%-11.85%) and 11.1% (95% CI = 10.2%-12%) for males. Within survey years, not adjusting for academic rank, the median salary increase for males was higher ($226,746 in 2013 to $252,000 in 2017) than females ($217,000 in 2013 to $240,000 in 2017), with significance at all four time points (Z = 6.33, p < 0.001), with a median average salary gap of $12,000 in 2017. In the predictive model that adjusted for covariates, gender significantly predicted median adjusted salary, with males earning significantly more than females (F(1) = 22.5, p < 0.001). CONCLUSIONS: Despite previously published data showing an inappropriate gender salary gap in emergency medicine, this gap has remained essentially unchanged over the past 4 years.
Assuntos
Medicina de Emergência/estatística & dados numéricos , Serviço Hospitalar de Emergência/estatística & dados numéricos , Docentes de Medicina/estatística & dados numéricos , Salários e Benefícios/estatística & dados numéricos , Estudos Transversais , Medicina de Emergência/organização & administração , Serviço Hospitalar de Emergência/organização & administração , Feminino , Humanos , Masculino , Distribuição por Sexo , Inquéritos e Questionários , Estados UnidosRESUMO
OBJECTIVE: The objective was to evaluate the impact of evidence-based clinical decision support tools integrated directly into provider workflow in the electronic health record on utilization of computed tomography (CT) brain, C-spine, and pulmonary embolism (PE). METHODS: Validated, well-accepted scoring tools for head injury, C-spine injury, and PE were embedded into the electronic health record in a manner minimally disruptive to provider workflow. This was a longitudinal, before/after study in five emergency departments (EDs) in a healthcare system with a common electronic health record. Attending ED physicians practicing during the entire study period were included. The main outcome measure was proportion of CTs ordered by provider (total number of CT scans of a given type divided by total patients seen by that provider) in aggregate in the pre- and post intervention period. RESULTS: There were 235,858 total patient visits analyzed in this study with an absolute decrease of 6,106 CT scan ordering for the three studies. Across all sites, there was greater than 6% decrease in utilization of CT brain and CT C-spine (-10%, 95% CI = -13% to -7%, p < 0.001; and -6%, 95% CI =-11% to -1%, p = 0.03, respectively). The use of CT PE also decreased but was not significant (-2%, 95% CI = -9% to +5%, p = 0.42). For all CT types, high utilizers in the pre-intervention period decreased usage over 14% in the post-intervention period with CT brain (-18%, 95% CI = -22% to -15%, p < 0.001), CT C-spine (-14%, 95% CI = -20% to -8%, p = 0.001), and CT PE (-23%, 95% CI = -31% to -14%, p < 0.001). For all three studies, the average utilizers did not change their usage practices. For CT brain, the low utilizers also did not increase usage but for CT C-spine and CT PE usage was increased (+29%, 95% CI = 10% to 52%, p = 0.003; and +46%, 95% CI = 26% to 70%, p < 0.001, respectively). CONCLUSION: Embedded clinical decision support is associated with decreased overall utilization of high-cost imaging, especially among higher utilizers. It also affected low utilizers, increasing their usage consistent with improved adherence to guidelines, but this effect did not offset the overall decreased utilization for CT brain or CT C-spine. Thus, integrating clinical decision support into the provider workflow promotes usage of validated tools across providers, which can standardize the delivery of care and improve compliance with evidence-based guidelines.
Assuntos
Sistemas de Apoio a Decisões Clínicas/organização & administração , Serviço Hospitalar de Emergência/economia , Custos de Cuidados de Saúde/estatística & dados numéricos , Embolia Pulmonar/diagnóstico por imagem , Tomografia Computadorizada por Raios X/estatística & dados numéricos , Estudos Controlados Antes e Depois , Registros Eletrônicos de Saúde , Serviço Hospitalar de Emergência/estatística & dados numéricos , Feminino , Humanos , Estudos Longitudinais , Masculino , Pessoa de Meia-Idade , RiscoRESUMO
Health care systems have utilized various process redesign methodologies to improve care delivery. This article describes the creation of a novel process improvement methodology, Rapid Process Optimization (RPO). This system was used to redesign emergency care delivery within a large academic health care system, which resulted in a decrease: (1) door-to-physician time (Department A: 54 minutes pre vs 12 minutes 1 year post; Department B: 20 minutes pre vs 8 minutes 3 months post), (2) overall length of stay (Department A: 228 vs 184; Department B: 202 vs 192), (3) discharge length of stay (Department A: 216 vs 140; Department B: 179 vs 169), and (4) left without being seen rates (Department A: 5.5% vs 0.0%; Department B: 4.1% vs 0.5%) despite a 47% increased census at Department A (34 391 vs 50 691) and a 4% increase at Department B (8404 vs 8753). The novel RPO process improvement methodology can inform and guide successful care redesign.
Assuntos
Serviço Hospitalar de Emergência/organização & administração , Inovação Organizacional , Melhoria de Qualidade/organização & administração , Serviço Hospitalar de Emergência/normas , Humanos , Tempo de Internação , Desenvolvimento de Programas , Indicadores de Qualidade em Assistência à Saúde/estatística & dados numéricos , Fatores de TempoRESUMO
OBJECTIVES: The objective was to review and update key definitions and metrics for emergency department (ED) performance and operations. METHODS: Forty-five emergency medicine leaders convened for the Third Performance Measures and Benchmarking Summit held in Las Vegas, February 21-22, 2014. Prior to arrival, attendees were assigned to workgroups to review, revise, and update the definitions and vocabulary being used to communicate about ED performance and operations. They were provided with the prior definitions of those consensus summits that were published in 2006 and 2010. Other published definitions from key stakeholders in emergency medicine and health care were also reviewed and circulated. At the summit, key terminology and metrics were discussed and debated. Workgroups communicated online, via teleconference, and finally in a face-to-face meeting to reach consensus regarding their recommendations. Recommendations were then posted and open to a 30-day comment period. Participants then reanalyzed the recommendations, and modifications were made based on consensus. RESULTS: A comprehensive dictionary of ED terminology related to ED performance and operation was developed. This article includes definitions of operating characteristics and internal and external factors relevant to the stratification and categorization of EDs. Time stamps, time intervals, and measures of utilization were defined. Definitions of processes and staffing measures are also presented. Definitions were harmonized with performance measures put forth by the Centers for Medicare and Medicaid Services (CMS) for consistency. CONCLUSIONS: Standardized definitions are necessary to improve the comparability of EDs nationally for operations research and practice. More importantly, clear precise definitions describing ED operations are needed for incentive-based pay-for-performance models like those developed by CMS. This document provides a common language for front-line practitioners, managers, health policymakers, and researchers.
Assuntos
Benchmarking/normas , Serviço Hospitalar de Emergência/normas , Competência Profissional/normas , Indicadores de Qualidade em Assistência à Saúde/normas , Benchmarking/estatística & dados numéricos , Congressos como Assunto , Consenso , Eficiência Organizacional , Serviço Hospitalar de Emergência/estatística & dados numéricos , Humanos , Relações Interprofissionais , Indicadores de Qualidade em Assistência à Saúde/estatística & dados numéricos , Estados UnidosRESUMO
OBJECTIVES: Policymakers have increasingly focused on emergency department (ED) utilization for primary care-treatable conditions as a potentially avoidable source of rising health care costs. The objective was to determine the association of health insurance type and arrival time, as indicators of limited availability of primary care, with primary care-treatable classification of ED visits. METHODS: This was a retrospective analysis of a nationally representative sample of 241,167 ED visits from the 1997 to 2009 National Hospital Ambulatory Medical Care Surveys (NHAMCS). Probabilities of ED visits being primary care-treatable were categorized based on the primary International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) code. The association of health insurance type and arrival time was determined with the average probability of the primary diagnosis being primary care-treatable using multivariable linear regression. RESULTS: Compared to privately insured visits, Medicaid visits had a 1.7% (95% confidence interval [CI] = 1.2% to 2.2%) and uninsured visits a 2.4% (95% CI = 1.9% to 3.0%) higher probability of primary care-treatable classification, while Medicare visits had a 1.4% (95% CI = 0.7% to 2.0%) lower probability during the overall study period. Compared to business hours, weekend visits had a 1.5% (95% CI = 1.0% to 2.0%) higher probability of being primary care-treatable during the overall study period. From 1997 to 2009, the overall adjusted probability of ED visits being primary care-treatable increased by 0.19% (95% CI = 0.10 to 0.28) per year. This probability increased at a rate of 0.52% per year for Medicare visits (95% CI = 0.38% to 0.65%), more than double that of Medicaid visits (0.25% per year, 95% CI = 0.13% to 0.37%). By contrast, there was no significant change from 1997 to 2009 in the average probability of ED visits being primary care-treatable by privately insured (0.05% per year, 95% CI = -0.07 to 0.16) or uninsured (0.00% per year, 95% CI = -0.12 to 0.13) individuals. CONCLUSIONS: These findings add to prior work that implicates insurance type and arrival time in the variation of primary care-treatable ED visits. Although primary care-treatable classification of ED visits was most associated with uninsured or Medicaid visits, this classification increased most rapidly among Medicare visits during the study period.