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A novel and remote biochemical verification method of smoking abstinence: Predictors of participant compliance

INTRODUCTION: Biochemical verification of smoking abstinence remains an important validity check of cessation trial outcomes. Digital health trials rarely establish in-person contacts between participants and intervention providers, requiring novel strategies to biochemically verify outcomes. We des...

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Autores principales: Thrul, Johannes, Meacham, Meredith C., Ramo, Danielle E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: European Publishing on behalf of the European Network for Smoking and Tobacco Prevention (ENSP) 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6221470/
https://www.ncbi.nlm.nih.gov/pubmed/30417159
http://dx.doi.org/10.18332/tpc/90649
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author Thrul, Johannes
Meacham, Meredith C.
Ramo, Danielle E.
author_facet Thrul, Johannes
Meacham, Meredith C.
Ramo, Danielle E.
author_sort Thrul, Johannes
collection PubMed
description INTRODUCTION: Biochemical verification of smoking abstinence remains an important validity check of cessation trial outcomes. Digital health trials rarely establish in-person contacts between participants and intervention providers, requiring novel strategies to biochemically verify outcomes. We describe remote verification of smoking abstinence via saliva cotinine and individual predictors of compliance in a digital intervention. METHODS: Data came from a feasibility trial and randomized controlled trial of a Facebook smoking cessation intervention for young adults. In both trials, participants completed baseline and follow-up surveys at 3, 6 and 12 months. Participants indicating past 7-day point prevalence smoking abstinence were mailed a saliva cotinine kit. Participants were instructed to electronically send two photos — one of them giving a saliva sample and the other with the test results. We investigated predictors of compliance with these procedures, independent of verification results, among participants that were mailed a kit at any follow-up point (N=130; mean age = 21.3; 59.2% female) using logistic and multinomial regression. RESULTS: A total of 189 kits were sent out, of which 97 were completed (51.3% compliance). We did not identify significant predictors of completing any vs no kits using logistic regression. We also found no significant predictors of extent of kit completion (none vs some; none vs all) using multinomial regression and controlling for number of kits sent. CONCLUSIONS: Findings demonstrate the feasibility of this biochemical verification method and suggest low risk for bias of results. Future studies should replicate findings in larger samples and improve compliance with verification procedures.
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spelling pubmed-62214702018-11-07 A novel and remote biochemical verification method of smoking abstinence: Predictors of participant compliance Thrul, Johannes Meacham, Meredith C. Ramo, Danielle E. Tob Prev Cessat Short Report INTRODUCTION: Biochemical verification of smoking abstinence remains an important validity check of cessation trial outcomes. Digital health trials rarely establish in-person contacts between participants and intervention providers, requiring novel strategies to biochemically verify outcomes. We describe remote verification of smoking abstinence via saliva cotinine and individual predictors of compliance in a digital intervention. METHODS: Data came from a feasibility trial and randomized controlled trial of a Facebook smoking cessation intervention for young adults. In both trials, participants completed baseline and follow-up surveys at 3, 6 and 12 months. Participants indicating past 7-day point prevalence smoking abstinence were mailed a saliva cotinine kit. Participants were instructed to electronically send two photos — one of them giving a saliva sample and the other with the test results. We investigated predictors of compliance with these procedures, independent of verification results, among participants that were mailed a kit at any follow-up point (N=130; mean age = 21.3; 59.2% female) using logistic and multinomial regression. RESULTS: A total of 189 kits were sent out, of which 97 were completed (51.3% compliance). We did not identify significant predictors of completing any vs no kits using logistic regression. We also found no significant predictors of extent of kit completion (none vs some; none vs all) using multinomial regression and controlling for number of kits sent. CONCLUSIONS: Findings demonstrate the feasibility of this biochemical verification method and suggest low risk for bias of results. Future studies should replicate findings in larger samples and improve compliance with verification procedures. European Publishing on behalf of the European Network for Smoking and Tobacco Prevention (ENSP) 2018-05-15 /pmc/articles/PMC6221470/ /pubmed/30417159 http://dx.doi.org/10.18332/tpc/90649 Text en © 2018 Thrul J http://creativecommons.org/licenses/by-nc/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution NonCommercial 4.0 International License.
spellingShingle Short Report
Thrul, Johannes
Meacham, Meredith C.
Ramo, Danielle E.
A novel and remote biochemical verification method of smoking abstinence: Predictors of participant compliance
title A novel and remote biochemical verification method of smoking abstinence: Predictors of participant compliance
title_full A novel and remote biochemical verification method of smoking abstinence: Predictors of participant compliance
title_fullStr A novel and remote biochemical verification method of smoking abstinence: Predictors of participant compliance
title_full_unstemmed A novel and remote biochemical verification method of smoking abstinence: Predictors of participant compliance
title_short A novel and remote biochemical verification method of smoking abstinence: Predictors of participant compliance
title_sort novel and remote biochemical verification method of smoking abstinence: predictors of participant compliance
topic Short Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6221470/
https://www.ncbi.nlm.nih.gov/pubmed/30417159
http://dx.doi.org/10.18332/tpc/90649
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