957 resultados para Health service areas--South Carolina


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This project was developed in collaboration with the South Carolina Department of Health and Environmental Control Primary Care Office in order to identify primary care market areas and resources within South Carolina. Primary Care Service Areas are designed to identify small geographic areas that are relatively self-contained markets for primary care. Included is a map and listing for Primary Care Service Areas in the state.

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The National Health Planning and Resources Development Act of 1974 (Public Law 93-641) requires that health systems agencies (HSAs) plan for their health service areas by the use of existing data to the maximum extent practicable. Health planning is based on the identificaton of health needs; however, HSAs are, at present, identifying health needs in their service areas in some approximate terms. This lack of specificity has greatly reduced the effectiveness of health planning. The intent of this study is, therefore, to explore the feasibility of predicting community levels of hospitalized morbidity by diagnosis by the use of existing data so as to allow health planners to plan for the services associated with specific diagnoses.^ The specific objectives of this study are (a) to obtain by means of multiple regression analysis a prediction equation for hospital admission by diagnosis, i.e., select the variables that are related to demand for hospital admissions; (b) to examine how pertinent the variables selected are; and (c) to see if each equation obtained predicts well for health service areas.^ The existing data on hospital admissions by diagnosis are those collected from the National Hospital Discharge Surveys, and are available in a form aggregated to the nine census divisions. When the equations established with such data are applied to local health service areas for prediction, the application is subject to the criticism of the theory of ecological fallacy. Since HSAs have to rely on the availability of existing data, it is imperative to examine whether or not the theory of ecological fallacy holds true in this case.^ The results of the study show that the equations established are highly significant and the independent variables in the equations explain the variation in the demand for hospital admission well. The predictability of these equations is good when they are applied to areas at the same ecological level but become poor, predominantly due to ecological fallacy, when they are applied to health service areas.^ It is concluded that HSAs can not predict hospital admissions by diagnosis without primary data collection as discouraged by Public Law 93-641. ^

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This brochure from the South Carolina State Park Department about Croft State Natural Area gives helpful information such as history, description, admission fee, driving directions, GPS coordinates, photographs, and park facilities & activities.

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The South Carolina Public Service Authority makes annual reports to the Advisory Board, reports are submitted to the General Assembly by the Governor, in which full information as to all of the Acts of said Board of Directors shall be given, together with financial statement and full information as to the work of the Authority.

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Santee Cooper annually publishes a report with statistics, analysis, audit, leadership, and budget statements.

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Santee Cooper annually publishes a report with statistics, analysis, audit, leadership, and budget statements.

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Santee Cooper annually publishes a report with statistics, analysis, audit, leadership, and budget statements.

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The South Carolina Public Service Authority makes annual reports to the Advisory Board, reports are submitted to the General Assembly by the Governor, in which full information as to all of the Acts of said Board of Directors shall be given, together with financial statement and full information as to the work of the Authority.

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Santee Cooper annually publishes a report with statistics, analysis, audit, leadership, and budget statements.

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Santee Cooper annually publishes a report with statistics, analysis, audit, leadership, and budget statements.

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Santee Cooper annually publishes a report with statistics, analysis, audit, leadership, and budget statements.

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Santee Cooper annually publishes a report with statistics, analysis, audit, leadership, and budget statements.

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This CD contains summary data of bottlenose dolphins stranded in South Carolina using a Geographical Information System (GIS) and contains two published manuscripts in .pdf files. The intent of this CD is to provide data on bottlenose dolphin strandings in South Carolina to marine mammal researchers and managers. This CD is an accumulation of 14 years of stranding data collected through the collaborations of the National Ocean Service, Center for Coastal Environmental Health and Biomolecular Research (CCEHBR), the South Carolina Department of Natural Resources, and numerous volunteers and veterinarians that comprised the South Carolina Marine Mammal Stranding Network. Spatial and temporal information can be visually represented on maps using GIS. For this CD, maps were created to show relationships of stranding densities with land use, human population density, human interaction with dolphins, high geographical regions of live strandings, and seasonal changes. Point maps were also created to show individual strandings within South Carolina. In summary, spatial analysis revealed higher densities of bottlenose dolphin strandings in Charleston and Beaufort Counties, which consist of urban land with agricultural input. This trend was positively correlated with higher human population levels in these coastal counties as compared with other coastal counties. However, spatial analysis revealed that certain areas within a county may have low human population levels but high stranding density, suggesting that the level of effort to respond to strandings is not necessarily positively correlated with the density of strandings in South Carolina. Temporal analysis revealed a significantly higher density of bottlenose dolphin strandings in the northern portion of the State in the fall, mostly due to an increase of neonate strandings. On a finer geographic scale, seasonal stranding densities may fluctuate depending on the region of interest. Charleston Harbor had the highest density of live bottlenose dolphin strandings compared to the rest of the State. This was due in large part to the number of live dolphin entanglements in the crab pot fishery, the largest source of fishery-related mortality for bottlenose dolphins in South Carolina (Burdett and McFee 2004). Spatial density calculations also revealed that Charleston and Beaufort accounted for the majority of dolphins that were involved with human activities. 1