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Alcohol and Alcoholism Advance Access published online on March 21, 2006
Alcohol and Alcoholism, doi:10.1093/alcalc/agl019
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© The Author 2006. Published by Oxford University Press on behalf of the Medical Council on Alcohol. All rights reserved
Received September 1, 2005
Revised February 14, 2006
Accepted February 15, 2006

Rapid Communication

RECRUITMENT OF HEALTHY PARTICIPANTS FOR STUDIES ON RISKS FOR ALCOHOLISM: EFFECTIVENESS OF RANDOM DIGIT DIALLING

KRISTEN H. SOROCCO 1 *, ANDREA S. VINCENT 2, FRANK L. COLLINS 3, CHRISTINE A. JOHNSON 4, and WILLIAM R. LOVALLO 5

1 Donald W. Reynolds Department of Geriatric Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
2 Department of Psychiatry and Behavioral Sciences, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
3 Department of Psychology, OK, USA
4 Bureau for Social Research Oklahoma State University, OK, USA
5 Department of Psychiatry and Behavioral Sciences, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA; Behavioral Sciences Labs, Veterans Affairs Medical Center, OK, USA

* To whom correspondence should be addressed.
KRISTEN H. SOROCCO, E-mail: Kristen-sorocco{at}ouhsc.edu


  Abstract

Aims: To compare the effectiveness of two strategies for recruiting healthy research volunteers. Methods: Demographic characteristics and recruitment costs of participants who completed a laboratory study examining risk factors for alcoholism recruited through random digit dialling (N = 11) and community advertisements (N = 102) were compared. Results: Advertisement yielded a more representative sample [76% Caucasian, less well educated (M = 15.2 years, SEM = 0.2; P < 0.05), more equally divided by family history of alcoholism (43% FH- and 57% FH+), and lower in SES (M = 42.8, SEM = 1.3; P < 0.05)] and was more cost effective ($72 vs $2272 per participant) than random digit dialling. Conclusions: Findings are relevant to alcohol researchers trying to determine the recruitment strategy that will yield the most representative sample at the lowest cost.


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