Poster / Soc 397a / 2015 Poverty in Tucson Field Workshop

New regulations requiring not-for-profit hospitals to provide documented evidence of charitable care and community benefits provide a unique opportunity for strategic and targeted investment within the given community of the hospital. And with a growing number of uninsured and underserved in the US, the need for tactical community benefits is increasing exponentially. The purpose of this capstone is to pool together the relevant resources and data necessary to guide and inform the decision making process involved in creating prevention and intervention programs tailored specifically to census tract 85. Utilizing several different forms of demographic and health data including Census, Online Analytical Statistical Information Systems (OASIS), and Geographic Information Systems (GIS), this capstone provides an assessment of the community of census tract 85 and identifies the two major health conditions of said community, diabetes and stroke, for prevention/intervention. Following the principles of evidence-based decision making, this project pulls together the necessary resources and provides recommendations on how not-for-profit hospitals and other community partners can best intervene within the community of census tract 85, thus improving the health of its residents.

Poster / Soc 397a / 2017 Poverty in Tucson Field Workshop

Poster / Soc 397a / 2017 Poverty in Tucson Field Workshop

Poster / Soc 397a / 2017 Poverty in Tucson Field Workshop

Poster / Soc 397a / 2015 Poverty in Tucson Field Workshop

Poster / Soc 397a / 2015 Poverty in Tucson Field Workshop

Poster / Soc 397a / 2015 Poverty in Tucson Field Workshop

This study, quantitative determinants of need and demand for primary health care in the District of Columbia (DCPC), analysed data over a twenty-year period from 1985 to 2004, on need and demand for primary care using standard and epidemiologically innovative statistical measures for physician distributions and socio-demographic characteristics in the District of Columbia (DC). The study attempted to answer the question: Using U.S census-based small area aggregations, Census Tract Groupings (CTGs), that are not zip-code areas or legislative/political boundaries, can a multivariate predictive model be developed using physician distributions, primary care service index (PCSI) and composite need scores (CNS) to explain variations in primary care visits shortages? Primary care visits shortages and priority scores (PCPS) were calculated, analysed and presented for CTGs in the District of Columbia from 1985 to 2004. Results indicated that the abundant supply of DC-based physicians – indicated by decreasing population per physician ratios of 239 (1985) to 146 (2004) – appear to be a long-term trend. As raw physician counts increased, the ratio of satisfied visits to demand decreased, from 2.62 (1985) to 1.80 (in 2004). This result appears to indicate that, due to inequities in distribution of primary care physicians in DC’s small areas, the increasing numbers of primary care physicians were by themselves, not sufficient to address the city’s overall primary care visits need. Epidemiological profiles and physician distribution analytical methods appear to be useful for small area analysis of urban primary care shortage areas and for setting priorities. Physician rates per 1,000 pop may be a necessary but not sufficient statistic for estimating urban primary health care needs / Health Studies / D. Litt. et Phil. (Health Studies)

This study, quantitative determinants of need and demand for primary health care in the District of Columbia (DCPC), analysed data over a twenty-year period from 1985 to 2004, on need and demand for primary care using standard and epidemiologically innovative statistical measures for physician distributions and socio-demographic characteristics in the District of Columbia (DC). The study attempted to answer the question: Using U.S census-based small area aggregations, Census Tract Groupings (CTGs), that are not zip-code areas or legislative/political boundaries, can a multivariate predictive model be developed using physician distributions, primary care service index (PCSI) and composite need scores (CNS) to explain variations in primary care visits shortages? Primary care visits shortages and priority scores (PCPS) were calculated, analysed and presented for CTGs in the District of Columbia from 1985 to 2004. Results indicated that the abundant supply of DC-based physicians – indicated by decreasing population per physician ratios of 239 (1985) to 146 (2004) – appear to be a long-term trend. As raw physician counts increased, the ratio of satisfied visits to demand decreased, from 2.62 (1985) to 1.80 (in 2004). This result appears to indicate that, due to inequities in distribution of primary care physicians in DC’s small areas, the increasing numbers of primary care physicians were by themselves, not sufficient to address the city’s overall primary care visits need. Epidemiological profiles and physician distribution analytical methods appear to be useful for small area analysis of urban primary care shortage areas and for setting priorities. Physician rates per 1,000 pop may be a necessary but not sufficient statistic for estimating urban primary health care needs / Health Studies / D. Litt. et Phil. (Health Studies)