Emergency department (ED) crowding has become a major barrier to receiving timely emergency care in the United States. Despite widespread recognition of the problem, the research and policy agendas needed to understan...
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Emergency department (ED) crowding has become a major barrier to receiving timely emergency care in the United States. Despite widespread recognition of the problem, the research and policy agendas needed to understand and address ED crowding are just beginning to unfold. We present a conceptual model of ED crowding to help researchers, administrators, and policymakers understand its causes and develop potential solutions. The conceptual model partitions ED crowding into 3 interdependent components: input, throughput, and output. These components exist within an acute care system that is characterized by the delivery of unscheduled care. The goal of the conceptual model is to provide a practical framework on which an organized research, policy, and operations management agenda can be based to alleviate ED crowding.
Study objective: This is a pilot study designed to assess the feasibility of a point prevalence study to assess the degree of crowding in hospital emergency departments (EDs). In addition, we sought to measure the deg...
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Study objective: This is a pilot study designed to assess the feasibility of a point prevalence study to assess the degree of crowding in hospital emergency departments (EDs). In addition, we sought to measure the degree of physical crowding and personnel shortage in our sample. Methods: A mail survey was sent to a random sample of 250 EDs chosen from a database compiled by the American College of Emergency Physicians of 5,064 EDs in the United States. In addition to demographic information, respondents were asked to count the patients and staff in their EDs at 7 Pm local time on Monday March 12,, 2001 (index time). Results: The response rate was 36%. At the index time, there was an average of 1.1 patients per treatment space, and 52% of EDs reported more than 1 patient per treatment space. There was also evidence of personnel shortage, with a mean of 4.2 patients per registered nurse and 49% of EDs having each registered nurse caring for more than 4 patients. There was a mean of 9.7 patients per physician. Sixty-eight percent of EDs had each physician caring for more than 6 patients. There was crowding present in all geographic areas and all hospital types (teaching-nonteaching status of the hospital). Consistent with the crowded conditions, 11% of institutions were on ambulance diversion and not accepting new acute patients. Delays in transfer of admitted patients out of the ED contributed to the physical crowding. Twenty-two percent of patients in the ED were already admitted and were awaiting transfer to an inpatient bed;73% of EDs were boarding 2 or more inpatients. The amount of crowding quantified by this point prevalence study was confirmed by the amount of crowding reported for the previous week: 48% of EDs were boarding inpatients during the previous week for a mean of 8.9 hours, 4.2 days per week;31% had been on diversion;59% had been routinely using their halls for patients;38% had been doubling their rooms;and 47% had been using nonclinical space for pa
National hospitals in developing countries command a disproportionate share of medical care budgets, justified on the grounds that they have a more difficult patient case mix and higher occupancy rates than decentrali...
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National hospitals in developing countries command a disproportionate share of medical care budgets, justified on the grounds that they have a more difficult patient case mix and higher occupancy rates than decentralized district hospitals or clinics. This paper empirically tests the hypothesis by developing direct measures of the severity of patient illness, hospital case-mix and a resource intensity index for each of El Salvador's public hospitals. Based on an analysis of inpatient care staffing requirements, national hospitals are found to receive funding far in excess of what case-mix and case-load considerations would warrant. The findings suggest that significant system-wide efficiency gains can be realized by allocating hospital budgets on the bases of performance-related criteria which incorporate the case-mix approach developed here.
Why do health maintenance organizations (HMOs) use particular hospitals, and do they concentrate patients in hospitals where they obtain low prices? We answered these questions with a study of six HMOs in four large m...
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Why do health maintenance organizations (HMOs) use particular hospitals, and do they concentrate patients in hospitals where they obtain low prices? We answered these questions with a study of six HMOs in four large metropolitan areas in 1986. A two-part model was estimated for the probability that a hospital would be used and the demand for general inpatient admissions at hospitals that were used. Four staff-network plans in our study do shop for hospital services on the basis of price more than was generally believed. However, two independent practice association (IPAs) plans use more hospitals in the community and do not concentrate patients effectively at hospitals that offer the lowest prices.
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