The 131st Annual Meeting (November 15-19, 2003) of APHA

Abstract #62246

Robyn Panther Gleason, ARNP, MSN, University of Florida, College of Nursing, P. O. Box 100187, Gainesville, FL 32610-0197, 321-508-4719, rgleason@nursing.ufl.edu, Shawn M. Kneipp, PhD, ARNP, College of Nursing, University of Florida, PO Box 100187, Gainesville, FL 32610-0187, and Robert Bosarge, RN, BSN, Alachua County Health Department, 224 SE 24th Street, PO Box 1327, Gainesville, FL 32606.

Alachua County’s Each One Reach One Community Cardiovascular Health Program (funded through a CDC Preventive Health and Health Services Block Grant) incorporates population-level interventions based on Healthy People 2010 objectives for reducing disparities in diabetes, heart disease and stroke, nutrition and obesity, physical fitness/activity, and tobacco use among disadvantaged groups. The evaluation component of the project requires outcome data be collected over the four year life of the grant. The focus of the project necessitates that evaluation data are representative of the target population using random sampling methods. However, numerous data were needed to complete the baseline evaluation and plan for appropriate interventions. Given this, concerns regarding survey fatigue, high rates of non-response in lower income populations, and generalizeability of findings needed to be considered during the survey design process.

To address these concerns, a survey plan using both probability and non-probability sampling frames was developed, each with the goal of gathering different types of data needed to design interventions and evaluate project effectiveness. This paper describes the survey plan for the project, which collects “core data” for evaluation purposes through a random sampling method, and “planning data” for planning interventions through a convenience sampling approach. Ultimately, core data for evaluation were given priority and collected using a random sampling approach, while planning data were collected through convenience sampling methods. This presentation demonstrates that, by using dual survey methods, important information for developing interventions can be gained simultaneously, without compromising the representativeness of evaluation data.

Learning Objectives:

At the conclusion of the session, the participant (learner) in this session will be able to:
• Describe the simultaneous use of dual sampling frames in community health assessment.
• Define one method of survey construction that facilitates the use of dual sampling frames.
• Identify two types of community health assessments that could benefit from the use of dual sampling frames.

Keywords: Healthy People 2000/2010, Survey

Presenting author's disclosure statement:
I have a significant financial interest/arrangement or affiliation with any organization/institution whose products or services are being discussed in this session.
Relationship: Research assistant doing data analysis on the project