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An internet-based method of selecting control populations for epidemiologic studies
Mary Bishop Stone1, Joseph L Lyon, Sara Ellis Simonsen
1Public Health Program, Department of Family and Preventive Medicine, University of Utah, Salt Lake City, UT 84108, USA. marybishop.stone@utah.edu
Recruiting participants for health studies is challenging due to evolving phone technology. An innovative internet-based approach combines two websites to create accurate subject lists, potentially improving response rates for epidemiologic research.
Area of Science:
- Epidemiology
- Public Health
- Health Research Methodology
Background:
- Traditional methods for recruiting control subjects in epidemiologic studies face increasing challenges.
- Changes in telephone technology, including answering machines, caller ID, and mobile phones, hinder subject identification and contact.
- The difficulty in obtaining representative control groups impacts the validity of epidemiologic research findings.
Purpose of the Study:
- To describe a novel internet-based method for identifying and recruiting study subjects.
- To address the challenges posed by modern telecommunication technologies in subject recruitment.
- To enhance response rates in epidemiologic studies through an improved recruitment strategy.
Main Methods:
- Developed and tested an internet-based recruitment strategy.
- Utilized information from two distinct websites to compile comprehensive subject lists.
- Combined data to generate accurate lists of names, addresses, and listed telephone numbers.
- Applied the method to randomly selected streets in a Salt Lake City suburb in June 2005.
Main Results:
- The described internet-based method successfully generated accurate and complete lists of potential study subjects.
- The approach integrates data from multiple online sources for robust subject identification.
- This method offers a viable alternative to traditional recruitment techniques facing technological barriers.
Conclusions:
- The developed internet-based approach provides an effective solution for identifying control subjects in epidemiologic studies.
- This method can potentially overcome challenges associated with declining landline usage and increasing mobile phone prevalence.
- Implementing this strategy may lead to improved participant recruitment and enhanced data quality in health research.
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