Macro Level Predictors of Community Health Center HIV Testing Approach

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Using a logistic regression model, this dissertation employed a macro level Gateway Provider Model to explore eight factors that may influence community health center HIV testing approach. The logistic regression model indicated that three variables related to community health center HIV testing approach. First, all else equal, the odds of offering routine HIV testing for community health centers that perceived their patients and community to be at average risk for HIV were 3.676 times the odds for those centers that perceived their patients and community to be at low or no risk for HIV. Further, the odds of offering routine … continued below

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vii, 131 pages : illustrations (some color)

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Patty, Lyndsay August 2014.

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This dissertation is part of the collection entitled: UNT Theses and Dissertations and was provided by the UNT Libraries to the UNT Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 248 times. More information about this dissertation can be viewed below.

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  • Patty, Lyndsay

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Description

Using a logistic regression model, this dissertation employed a macro level Gateway Provider Model to explore eight factors that may influence community health center HIV testing approach. The logistic regression model indicated that three variables related to community health center HIV testing approach. First, all else equal, the odds of offering routine HIV testing for community health centers that perceived their patients and community to be at average risk for HIV were 3.676 times the odds for those centers that perceived their patients and community to be at low or no risk for HIV. Further, the odds of offering routine HIV testing for community health centers that perceived their patients and community to be at high risk for HIV were 4.693 times the odds for those centers that perceived the community to be at low or no HIV risk. Second, all else equal, the odds of offering routine HIV testing for community health centers in which an HIV testing policy exists were 2.202 times the odds for those centers in which an HIV testing policy does not exist. Third, all else equal, the odds of offering routine HIV testing for community health centers that received funding specifically for HIV testing were 2.938 times the odds for those centers that did not receive such funding. No other individual predictor variables in the model were related to community health center HIV testing approach.

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vii, 131 pages : illustrations (some color)

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  • August 2014

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  • Aug. 21, 2015, 5:42 a.m.

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  • Dec. 9, 2016, 6:42 a.m.

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Patty, Lyndsay. Macro Level Predictors of Community Health Center HIV Testing Approach, dissertation, August 2014; Denton, Texas. (https://digital.library.unt.edu/ark:/67531/metadc699946/: accessed April 24, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; .

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