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1.
CJEM ; 11(4): 321-9, 2009 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-19594970

RESUMO

INTRODUCTION: The Canadian Emergency Department Triage and Acuity Scale (CTAS) is a 5-level triage tool used to determine the priority by which patients should be treated in Canadian emergency departments (EDs). To determine emergency physician (EP) workload and staffing needs, many hospitals in Ontario use a case-mix formula based solely on patient volume at each triage level. The purpose of our study was to describe the distribution of EP time by activity during a shift in order to estimate the amount of time required by an EP to assess and treat patients in each triage category and to determine the variability in the distribution of CTAS scoring between hospital sites. METHODS: Research assistants directly observed EPs for 592 shifts and electronically recorded their activities on a moment-by-moment basis. The duration of all activities associated with a given patient were summed to derive a directly observed estimate of the amount of EP time required to treat the patient. RESULTS: We observed treatment times for 11 716 patients in 11 hospital-based EDs. The mean time for physicians to treat patients was 73.6 minutes (95% confidence interval [CI] 63.6-83.7) for CTAS level 1, 38.9 minutes (95% CI 36.0-41.8) for CTAS-2, 26.3 minutes (95% CI 25.4-27.2) for CTAS-3, 15.0 minutes (95% CI 14.6-15.4) for CTAS-4 and 10.9 minutes (95% CI 10.1-11.6) for CTAS-5. Physician time related to patient care activities accounted for 84.2% of physicians' ED shifts. CONCLUSION: In our study, EPs had very limited downtime. There was significant variability in the distribution of CTAS scores between sites and also marked variation in EP time related to each triage category. This brings into question the appropriateness of using CTAS alone to determine physician staffing levels in EDs.


Assuntos
Serviço Hospitalar de Emergência , Médicos/estatística & dados numéricos , Triagem , Carga de Trabalho , Adulto , Intervalos de Confiança , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Ontário , Estudos Prospectivos , Recursos Humanos
2.
Med Care ; 46(11): 1177-83, 2008 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-18953229

RESUMO

BACKGROUND: In 2005, the median waiting time for total hip and knee joint replacements in Ontario was greater than 6 months, which is considered longer than clinically appropriate. Demand is expected to increase and exacerbate already long waiting times. Solutions are needed to reduce waiting times and improve waiting list management. METHODS: We developed a discrete event simulation model of the Ontario total joint replacement system to evaluate the effects of 4 management strategies on waiting times: (1) reductions in surgical demand; (2) formal clinical prioritization; (3) waiting time guarantees; and (4) common waiting list management. RESULTS: If the number of surgeries performed increases by less than 10% each year, then demand must be reduced by at least 15% to ensure that, within 10 years, 90% of patients receive surgery within their maximum recommended waiting time. Clinically prioritizing patients reduced waiting times for high-priority patients and increased the number of patients at all priority levels who received surgery each year within recommended maximum waiting times by 9.3%. A waiting time guarantee for all patients provided fewer surgeries within recommended waiting times. Common waiting list management improved efficiency and increased equity in waiting across regions. DISCUSSION: Dramatically increasing the supply of joint replacement surgeries or diverting demand for surgeries to other jurisdictions will reduce waiting times for total joint replacement surgery. Introducing a strictly adhered to patient prioritization scheme will ensure that more patients receive surgery within severity-specific waiting time targets. Implementing a waiting time guarantee for all patients will not reduce waiting times--it will only shuffle waiting times from some patients to others. To reduce waiting times to clinically acceptable levels within 10 years, increases in the number of surgeries provided greater than those observed historically or reductions in demand are needed.


Assuntos
Artroplastia de Substituição/estatística & dados numéricos , Planejamento em Saúde/organização & administração , Planejamento em Saúde/estatística & dados numéricos , Listas de Espera , Simulação por Computador , Alocação de Recursos para a Atenção à Saúde/organização & administração , Alocação de Recursos para a Atenção à Saúde/estatística & dados numéricos , Prioridades em Saúde/organização & administração , Prioridades em Saúde/estatística & dados numéricos , Humanos , Programas Nacionais de Saúde/organização & administração , Programas Nacionais de Saúde/estatística & dados numéricos , Avaliação das Necessidades , Ontário , Seleção de Pacientes
3.
Health Care Manag Sci ; 10(2): 195-215, 2007 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-17608059

RESUMO

Currently, the median waiting time for total hip and knee replacement in Ontario is greater than 6 months. Waiting longer than 6 months is not recommended and may result in lower post-operative benefits. We developed a simulation model to estimate the proportion of patients who would receive surgery within the recommended waiting time for surgery over a 10-year period considering a wide range of demand projections and varying the number of available surgeries. Using an estimate that demand will grow by approximately 8.7% each year for 10 years, we determined that increasing available supply by 10% each year was unable to maintain the status quo for 10 years. Reducing waiting times within 10 years required that the annual supply of surgeries increased by 12% or greater. Allocating surgeries across regions in proportion to each region's waiting time resulted in a more efficient distribution of surgeries and a greater reduction in waiting times in the long-term compared to allocation strategies based only on the region's population size.


Assuntos
Artroplastia de Substituição/estatística & dados numéricos , Teoria de Sistemas , Listas de Espera , Artroplastia de Substituição/tendências , Simulação por Computador , Prioridades em Saúde , Humanos , Estudos Multicêntricos como Assunto , Ontário , Sistema de Registros
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