Home About us Contact | |||
Hospital Capacity (hospital + capacity)
Selected AbstractsState of Research in High-consequence Hospital Surge CapacityACADEMIC EMERGENCY MEDICINE, Issue 11 2006Carl H. Schultz MD High-consequence surge research involves a systems approach that includes elements such as healthcare facilities, out-of-hospital systems, mortuary services, public health, and sheltering. This article focuses on one aspect of this research, hospital surge capacity, and discusses a definition for such capacity, its components, and future considerations. While conceptual definitions of surge capacity exist, evidence-based practical guidelines for hospitals require enhancement. The Health Resources and Services Administration's (HRSA) definition and benchmarks are extrapolated from those of other countries and rely mainly on trauma data. The most significant part of the HRSA target, the need to care for 500 victims stricken with an infectious disease per one million population in 24 hours, was not developed using a biological model. If HRSA's recommendation is applied to a sample metropolitan area such as Orange County, California, this translates to a goal of expanding hospital capacity by 20%,25% in the first 24 hours. Literature supporting this target is largely consensus based or anecdotal. There are no current objective measures defining hospital surge capacity. The literature identifying the components of surge capacity is fairly consistent and lists them as personnel, supplies and equipment, facilities, and a management system. Studies identifying strategies for hospitals to enhance these components and estimates of how long it will take are lacking. One system for augmenting hospital staff, the Emergency System for Advance Registration of Volunteer Health Professionals, is a consensus-derived plan that has never been tested. Future challenges include developing strategies to handle the two different types of high-consequence surge events: 1) a focal, time-limited event (such as an earthquake) where outside resources exist and can be mobilized to assist those in need and 2) a widespread, prolonged event (such as pandemic influenza) where all resources will be in use and rationing or triage is needed. [source] Effect of an Independent-capacity Protocol on Overcrowding in an Urban Emergency DepartmentACADEMIC EMERGENCY MEDICINE, Issue 12 2009Won Chul Cha MD Abstract Objectives:, The authors hypothesized that a new strategy, termed the independent-capacity protocol (ICP), which was defined as primary stabilization at the emergency department (ED) and utilization of community resources via transfer to local hospitals, would reduce ED overcrowding without requiring additional hospital resources. Methods:, This is a before-and-after trial that included all patients who visited an urban, tertiary care ED in Korea from July 2006 to June 2008. To improve ED throughput, introduction of the ICP gave emergency physicians (EPs) more responsibility and authority over patient disposition, even when the patients belonged to another specific clinical department. The ICP utilizes the ED as a temporary, nonspecific place that cares for any patient for a limited time period. Within 48 hours, EPs, associated specialists, and transfer coordinators perform secondary assessment and determine patient disposition. If the hospital is full and cannot admit these patients after 48 hours, the EP and transfer coordinators move the patients to other appropriate community facilities. We collected clinical data such as sex, age, diagnosis, and treatment. The main outcomes included ED length of stay (LOS), the numbers of admissions to inpatient wards, and the mortality rate. Results:, A total of 87,309 patients were included. The median number of daily patients was 114 (interquartile range [IQR] = 104 to 124) in the control phase and 124 (IQR = 112 to 135) in the ICP phase. The mean ED LOS decreased from 15.1 hours (95% confidence interval [CI] = 14.8 to 15.3) to 13.4 hours (95% CI = 13.2 to 13.6; p < 0.001). The mean LOS in the emergency ward decreased from 4.5 days (95% CI = 4.4 to 4.6 days) to 3.1 days (95% CI = 3.0 to 3.2 days; p < 0.001). The percentage of transfers from the ED to other hospitals decreased from 3.5% to 2.5% (p < 0.001). However, transfers from the emergency ward to other hospitals increased from 2.9% to 8.2% (p < 0.001). Admissions to inpatient wards from the ED were significantly reduced, and admission from the emergency ward did not change. The ED mortality and hospital mortality rates did not change (p = 0.15 and p = 0.10, respectively). Conclusions:, After introduction of the ICP, ED LOS decreased without an increase in hospital capacity. [source] Institutional design and the closure of public facilities in transition economiesTHE ECONOMICS OF TRANSITION, Issue 3 2002William Jack As part of the reforms of their systems for financing and delivering health care, many transition economies, particularly in central and eastern Europe, have adopted national insurance funds that are institutionally separate from ministries of health. Most of these countries have also grappled with the problem of restructuring the delivery system, especially the need to reduce hospital capacity. Although improving the performance of medical care providers through a shift from passive budgeting to explicitly incentive mechanisms is important, why this change in financial relations between the government and providers could not be implemented simply by reforming the role of health ministries is not obvious. This paper presents an explicit rationale for the separation of powers between the regulator (the ministry of health) and the financing body (the insurance fund), based on the inability of a single agency to commit to closing hospitals. JEL classification: L51, P20, P35, I18. [source] The Transition from Excess Capacity to Strained Capacity in U.S. HospitalsTHE MILBANK QUARTERLY, Issue 2 2006GLORIA J. BAZZOLI After many years of concern about excess hospital capacity, a growing perception exists that the capacity of some hospitals now seems constrained. This article explores the reasons behind this changing perception, looking at the longitudinal data and in-depth interviews for hospitals in four study sites monitored by the Community Tracking Study of the Center for Studying Health System Change. Notwithstanding the differences for individual hospitals, we observed that adjustments to the supply of hospital services tend to be slow and out of sync with changes in the demand for hospital services. Those hospitals reporting capacity problems are often teaching hospitals, located near previously closed facilities or in population growth areas. These findings suggest therefore that approaches to dealing with capacity problems might best focus on better matching individual hospitals' supply and demand adjustments. [source] |