David Farabee1, Angela Hawken, Peter Griffith. 1. Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA. dfarabee@ucla.edu
Abstract
OBJECTIVES: Increased recognition that addictive behaviors tend to be chronic and relapsing has led to a growing emphasis on longitudinal substance abuse research. The purpose of this study was to identify effective follow-up strategies used by National Institute on Drug Abuse-funded investigators who have conducted at least 1 study involving follow-up data collection from human subjects. METHODS: A web-based survey was administered to a representative sample of National Institute on Drug Abuse-funded researchers (N = 153) with a history of conducting longitudinal research. RESULTS: Reported study response rates were generally high, although 27% of the studies fell below the 80% benchmark. Face-to-face and telephone-based interviews commanded the largest subject payments-2 to 3 times higher than compensation rates for collection of biologic samples. With regard to the presumed impact of low follow-up rates on the generalizability of study findings, one-third of investigators who compared baseline characteristics of those who did and did not participate in the follow-up found meaningful differences. Support was found for the hypothesis that follow-up rates and total compensation would be positively related, with the mean compensation amounts between studies achieving <80% follow-up rate versus those achieving rates ≥80%, revealing a statistically significant effect in the predicted direction. CONCLUSIONS: The majority of respondents reported difficulty in tracking and locating subjects, and study respondents often proved to be quite different from nonrespondents. Incentives improved follow-up rates to a point, although the relationship was not linear. Efforts to improve follow-up rates may be better spent on addressing tracking and locating logistics rather than on strategies to compel participation once the subject has been located.
OBJECTIVES: Increased recognition that addictive behaviors tend to be chronic and relapsing has led to a growing emphasis on longitudinal substance abuse research. The purpose of this study was to identify effective follow-up strategies used by National Institute on Drug Abuse-funded investigators who have conducted at least 1 study involving follow-up data collection from human subjects. METHODS: A web-based survey was administered to a representative sample of National Institute on Drug Abuse-funded researchers (N = 153) with a history of conducting longitudinal research. RESULTS: Reported study response rates were generally high, although 27% of the studies fell below the 80% benchmark. Face-to-face and telephone-based interviews commanded the largest subject payments-2 to 3 times higher than compensation rates for collection of biologic samples. With regard to the presumed impact of low follow-up rates on the generalizability of study findings, one-third of investigators who compared baseline characteristics of those who did and did not participate in the follow-up found meaningful differences. Support was found for the hypothesis that follow-up rates and total compensation would be positively related, with the mean compensation amounts between studies achieving <80% follow-up rate versus those achieving rates ≥80%, revealing a statistically significant effect in the predicted direction. CONCLUSIONS: The majority of respondents reported difficulty in tracking and locating subjects, and study respondents often proved to be quite different from nonrespondents. Incentives improved follow-up rates to a point, although the relationship was not linear. Efforts to improve follow-up rates may be better spent on addressing tracking and locating logistics rather than on strategies to compel participation once the subject has been located.
Authors: James A Cranford; Sean Esteban McCabe; Carol J Boyd; Janie Slayden; Mark B Reed; Julie M Ketchie; James E Lange; Marcia S Scott Journal: Addict Behav Date: 2007-08-03 Impact factor: 3.913
Authors: Brian D Kiluk; Kathleen M Carroll; Amy Duhig; Daniel E Falk; Kyle Kampman; Shengan Lai; Raye Z Litten; David J McCann; Ivan D Montoya; Kenzie L Preston; Phil Skolnick; Constance Weisner; George Woody; Redonna Chandler; Michael J Detke; Kelly Dunn; Robert H Dworkin; Joanne Fertig; Jennifer Gewandter; F Gerard Moeller; Tatiana Ramey; Megan Ryan; Kenneth Silverman; Eric C Strain Journal: Drug Alcohol Depend Date: 2015-11-21 Impact factor: 4.492