Optimized Probability Sampling of Study Sites to Improve Generalizability in a Multisite Intervention Trial
Supporting Files
-
Dec 15 2009
File Language:
English
Details
-
Journal Article:Preventing Chronic Disease (PCD)
-
Personal Author:
-
Description:Introduction
Studies of type 2 translation, the adaption of evidence-based interventions to real-world settings, should include representative study sites and staff to improve external validity. Sites for such studies are, however, often selected by convenience sampling, which limits generalizability. We used an optimized probability sampling protocol to select an unbiased, representative sample of study sites to prepare for a randomized trial of a weight loss intervention.
Methods
We invited North Carolina health departments within 200 miles of the research center to participate (N = 81). Of the 43 health departments that were eligible, 30 were interested in participating. To select a representative and feasible sample of 6 health departments that met inclusion criteria, we generated all combinations of 6 from the 30 health departments that were eligible and interested. From the subset of combinations that met inclusion criteria, we selected 1 at random.
Results
Of 593,775 possible combinations of 6 counties, 15,177 (3%) met inclusion criteria. Sites in the selected subset were similar to all eligible sites in terms of health department characteristics and county demographics.
Conclusion
Optimized probability sampling improved generalizability by ensuring an unbiased and representative sample of study sites.
-
Subjects:
-
Source:Prev Chronic Dis. 7(1).
-
ISSN:1545-1151
-
Pubmed ID:20040225
-
Pubmed Central ID:PMC2811505
-
Document Type:
-
Funding:
-
Place as Subject:
-
Location:
-
Volume:7
-
Issue:1
-
Collection(s):
-
Main Document Checksum:urn:sha-512:da120a27020afcca95c839d42338d5dfa0321e489d43390e17132d667d63d25f6c585919cafdfae77ee19d99c33eb914f393d766503e34459b766f2e80b0f220
-
Download URL:
-
File Type:
Supporting Files
File Language:
English
ON THIS PAGE
CDC STACKS serves as an archival repository of CDC-published products including
scientific findings,
journal articles, guidelines, recommendations, or other public health information authored or
co-authored by CDC or funded partners.
As a repository, CDC STACKS retains documents in their original published format to ensure public access to scientific information.
As a repository, CDC STACKS retains documents in their original published format to ensure public access to scientific information.
You May Also Like
COLLECTION
Preventing Chronic Disease