831 resultados para Federal aid to infant health services


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Shipping list no.: 91-229-P.

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Shipping list no.: 91-229-P.

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Documents prepared by the Department's legal staff in response to the request of Senator Morse, Chairman, Subcommittee on Education, committee on Labor and Public Welfare.

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In the nineteenth century natural history was widely regarded as a rational and ‘distracting’ pursuit that countered the ill-effects, physical and mental, of urban life. This familiar argument was not only made by members of naturalists’ societies but was also borrowed and adapted by alienists concerned with the moral treatment of the insane. This paper examines the work of five long-serving superintendents in Victorian Scotland and uncovers the connections made between an interest in natural history and the management of mental disease. In addition to recovering a significant influence on the conduct of several alienists the paper explores arguments made outside the asylum walls in favour of natural history as an aid to mental health. Investigating the promotion of natural history as a therapeutic recreation in Scotland and elsewhere reveals more fully the moral and cultural significance attached to natural history pursuits in the nineteenth century.

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The three articles that comprise this dissertation describe how small area estimation and geographic information systems (GIS) technologies can be integrated to provide useful information about the number of uninsured and where they are located. Comprehensive data about the numbers and characteristics of the uninsured are typically only available from surveys. Utilization and administrative data are poor proxies from which to develop this information. Those who cannot access services are unlikely to be fully captured, either by health care provider utilization data or by state and local administrative data. In the absence of direct measures, a well-developed estimation of the local uninsured count or rate can prove valuable when assessing the unmet health service needs of this population. However, the fact that these are “estimates” increases the chances that results will be rejected or, at best, treated with suspicion. The visual impact and spatial analysis capabilities afforded by geographic information systems (GIS) technology can strengthen the likelihood of acceptance of area estimates by those most likely to benefit from the information, including health planners and policy makers. ^ The first article describes how uninsured estimates are currently being performed in the Houston metropolitan region. It details the synthetic model used to calculate numbers and percentages of uninsured, and how the resulting estimates are integrated into a GIS. The second article compares the estimation method of the first article with one currently used by the Texas State Data Center to estimate numbers of uninsured for all Texas counties. Estimates are developed for census tracts in Harris County, using both models with the same data sets. The results are statistically compared. The third article describes a new, revised synthetic method that is being tested to provide uninsured estimates at sub-county levels for eight counties in the Houston metropolitan area. It is being designed to replicate the same categorical results provided by a current U.S. Census Bureau estimation method. The estimates calculated by this revised model are compared to the most recent U.S. Census Bureau estimates, using the same areas and population categories. ^

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Shipping list no.: 96-0070-P.

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Bibliography: leaves 425-431.