Macro Level Predictors of Community Health Center HIV Testing Approach Page: 2
vii, 131 pages : illustrations (some color)View a full description of this dissertation.
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Patty, Lyndsay. Macro Level Predictors of Community Health Center HIV
Testing Approach. Doctor of Philosophy (Sociology), August 2014, 131 pp., 6 tables, 7
figures, references, 245 titles.
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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Patty, Lyndsay (Lyndsay Nicole). Macro Level Predictors of Community Health Center HIV Testing Approach, dissertation, August 2014; Denton, Texas. (https://digital.library.unt.edu/ark:/67531/metadc699946/m1/2/: accessed July 18, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; .