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Session Title: The Added Value of a Second Act: Using Administrative Data for Needs Assessment and Outcome Evaluation in Teen Pregnancy Prevention
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Panel Session 631 to be held in Lido C on Friday, Nov 4, 10:45 AM to 11:30 AM
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Sponsored by the Health Evaluation TIG
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| Chair(s): |
| Shannon Flynn, South Carolina Campaign to Prevent Teen Pregnancy, sflynn@teenpregnancysc.org
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| Abstract:
This session will examine how administrative data gains additional value - beyond its original purpose - by having a "second act" in needs assessment and outcome evaluation, and how values influence the ways that data is used. The first project will describe how an integrated administrative data warehouse contributed to the SC Campaign to Prevent Teen Pregnancy's initial phase of a needs assessment of sexual health needs of African American adolescent males. By linking data from multiple sources, including education, juvenile justice, child protection, and Medicaid billing records, a preliminary picture emerged of this population's needs around teen pregnancy prevention. The second presentation describes how administrative data will be used for an outcome evaluation of a CDC funded project designed to increase access to contraception among 15-19 year olds using Medicaid data. Both presentations will explore the strengths and limitations of this type of data and how values influence its use.
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Using Administrative Data to Conduct a Needs Assessment of African American Adolescent Males in South Carolina Public Schools
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| Shannon Flynn, South Carolina Campaign to Prevent Teen Pregnancy, sflynn@teenpregnancysc.org
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| Heather Kirby, South Carolina Office of Research and Statistics, heather.kirby@ors.sc.gov
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| Sarah Moran, South Carolina Campaign to Prevent Teen Pregnancy, smoran@teenpregnancysc.org
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| Charlotte Galloway, University of South Carolina, toolec@mailbox.sc.edu
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This presentation will focus on the use of administrative data to conduct the initial phase of a needs assessment of African American adolescent males in South Carolina public schools. Participants will learn about the potential of administrative data to cost effectively inform early needs assessments. Using the SC Office of Research and Statistics' (ORS) integrated data warehouse, the SC Campaign assessed the prevalence of several high risk indicators among African Americans in South Carolina. The data was disaggregated by school district; high need districts were identified using a cumulative ranking system across several indicators. Background on the rich data warehouse used by ORS, the process of collaborating with ORS, and the findings from this analysis will be discussed. Strengths (limited cost, can track participants over time, and objective measures (Jutte 2011) and weaknesses, (questions of interpretation, missing data, and lack of context) of administrative data will be explored.
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Evaluating Changes in Teens' Contraceptive Service Utilization Using Medicaid Administrative Data
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| Jennifer Duffy, South Carolina Campaign to Prevent Teen Pregnancy, jduffy@teenpregnancysc.org
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| Amy Mattison Faye, South Carolina Campaign to Prevent Teen Pregnancy, afaye@teenpregnancysc.org
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| Shannon Flynn, South Carolina Campaign to Prevent Teen Pregnancy, sflynn@teenpregnancysc.org
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| Heather Kirby, South Carolina Office of Research and Statistics, heather.kirby@ors.sc.gov
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This presentation will describe plans for using the SC Office of Research and Statistics' (ORS) integrated data warehouse to evaluate two county-wide projects to reduce teen pregnancies. In these counties efforts will be undertaken both to increase 15-19 year olds' utilization of clinical services and to increase health care providers' prescribing of effective contraception to teens. The use of Medicaid records to examine patterns of services utilization by teens over time in both intervention and comparison communities will be described. Experiences with the process of developing baseline measures of service utilization and analytic strategies for assessing change over time using clinic services data will be discussed. Benefits and challenges associated with using administrative data for this type of analysis will be considered.
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