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Activity Number:
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420
- Contributed Poster Presentations: Health Policy Statistics Section
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Type:
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Contributed
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Date/Time:
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Tuesday, July 30, 2019 : 2:00 PM to 3:50 PM
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Sponsor:
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Health Policy Statistics Section
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Abstract #304398
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Title:
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Comparison Between Individual-Level and Ecological Models: a HIV PrEP Prescription Example Using a National Pharmacy Database
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Author(s):
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Jun Zhang* and Neal Carnes and Ya-lin Huang and Deborah Gelaude and Yuko Mizuno and Karen W. Hoover
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Companies:
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Center for Disease Control and Prevention and Centers for Disease Control & Prevention and Centers for Disease Control & Prevention and Division of HIV/AIDS Prevention, Centers for Disease Control & Prevention, Atlanta, GA and Division of HIV/AIDS Prevention, Centers for Disease Control & Prevention, Atlanta, GA and Division of HIV/AIDS Prevention, Centers for Disease Control & Prevention, Atlanta, GA
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Keywords:
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Aggregate;
Ecological analyses;
HIV PrEP;
Statistical models
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Abstract:
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Aggregate data may offer valuable clues about variable relationships, but the relationships do not necessarily hold at the individual-level. In this analysis, we include a policy level variable as a contextual predictor in both an individual and an ecological model of HIV pre-exposure prophylaxis (PrEP) prescription. Using a national pharmacy database, we assess the comparability of predictors of PrEP prescription by nurse practitioners at the individual- and ecological-level using two statistical approaches: a state (ecological) level Poisson regression with robust error variance and an individual-level hierarchical logistic regression model. The predictors are state licensure laws (both models: full practice, reduced practice and restricted practice), patient age (individual model: 5 age categories; ecological model: % 25 years of age or younger) and patient gender (individual model: male/female; ecological model % male). Licensure laws was significant in both models. Patient age and gender were significant in the individual model but only age was significant in the state model. The influence of policy level variable on individual and ecological outcomes will be discussed.
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Authors who are presenting talks have a * after their name.
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