Cargando…
Assessing the effect of an interactive decision-aid smartphone smoking cessation application (app) on quit rates: a double-blind automated randomised control trial protocol
INTRODUCTION: In a previous study exploring the feasibility of a smoking cessation application (app), we found that about 77% of the respondents from three countries were ready to quit in the next 30 days without significant differences between countries in terms of age, operating system and number...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4120407/ https://www.ncbi.nlm.nih.gov/pubmed/25037644 http://dx.doi.org/10.1136/bmjopen-2014-005371 |
_version_ | 1782329082097172480 |
---|---|
author | BinDhim, Nasser F McGeechan, Kevin Trevena, Lyndal |
author_facet | BinDhim, Nasser F McGeechan, Kevin Trevena, Lyndal |
author_sort | BinDhim, Nasser F |
collection | PubMed |
description | INTRODUCTION: In a previous study exploring the feasibility of a smoking cessation application (app), we found that about 77% of the respondents from three countries were ready to quit in the next 30 days without significant differences between countries in terms of age, operating system and number of quitting attempts. However, the efficacy of smartphone apps for smoking cessation has not yet been established. This study tests the efficacy of a smartphone smoking cessation decision-aid app compared with an app that contains only smoking cessation information. METHODS AND ANALYSIS: This is an automated double-blind, randomised controlled trial of a smoking cessation app that contains the eligibility requirements and baseline questionnaire and will randomise the participants into one of the two subapps (the intervention and the control). Participants will be recruited directly from the Apple app stores in Australia, Singapore, the UK and the USA. Daily smokers aged 18 and above will be randomised into one of the subapps after completing the baseline questionnaire. Abstinence rates will be measured at 10 days, 1 month, 3 months and 6 months, with the 1-month follow-up abstinence rate as the primary outcome. Logistic regression mixed models will be used to analyse the primary outcome. ETHICS AND DISSEMINATION: This study was approved by the University of Sydney's Human Ethics Committee. The results of the trial will be published in peer-reviewed journals according to the CONSORT statement. TRIAL REGISTRATION NUMBER: Australian New Zealand ClinicalTrial RegistryACTRN12613000833763. |
format | Online Article Text |
id | pubmed-4120407 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-41204072014-08-05 Assessing the effect of an interactive decision-aid smartphone smoking cessation application (app) on quit rates: a double-blind automated randomised control trial protocol BinDhim, Nasser F McGeechan, Kevin Trevena, Lyndal BMJ Open Smoking and Tobacco INTRODUCTION: In a previous study exploring the feasibility of a smoking cessation application (app), we found that about 77% of the respondents from three countries were ready to quit in the next 30 days without significant differences between countries in terms of age, operating system and number of quitting attempts. However, the efficacy of smartphone apps for smoking cessation has not yet been established. This study tests the efficacy of a smartphone smoking cessation decision-aid app compared with an app that contains only smoking cessation information. METHODS AND ANALYSIS: This is an automated double-blind, randomised controlled trial of a smoking cessation app that contains the eligibility requirements and baseline questionnaire and will randomise the participants into one of the two subapps (the intervention and the control). Participants will be recruited directly from the Apple app stores in Australia, Singapore, the UK and the USA. Daily smokers aged 18 and above will be randomised into one of the subapps after completing the baseline questionnaire. Abstinence rates will be measured at 10 days, 1 month, 3 months and 6 months, with the 1-month follow-up abstinence rate as the primary outcome. Logistic regression mixed models will be used to analyse the primary outcome. ETHICS AND DISSEMINATION: This study was approved by the University of Sydney's Human Ethics Committee. The results of the trial will be published in peer-reviewed journals according to the CONSORT statement. TRIAL REGISTRATION NUMBER: Australian New Zealand ClinicalTrial RegistryACTRN12613000833763. BMJ Publishing Group 2014-07-18 /pmc/articles/PMC4120407/ /pubmed/25037644 http://dx.doi.org/10.1136/bmjopen-2014-005371 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
spellingShingle | Smoking and Tobacco BinDhim, Nasser F McGeechan, Kevin Trevena, Lyndal Assessing the effect of an interactive decision-aid smartphone smoking cessation application (app) on quit rates: a double-blind automated randomised control trial protocol |
title | Assessing the effect of an interactive decision-aid smartphone smoking cessation application (app) on quit rates: a double-blind automated randomised control trial protocol |
title_full | Assessing the effect of an interactive decision-aid smartphone smoking cessation application (app) on quit rates: a double-blind automated randomised control trial protocol |
title_fullStr | Assessing the effect of an interactive decision-aid smartphone smoking cessation application (app) on quit rates: a double-blind automated randomised control trial protocol |
title_full_unstemmed | Assessing the effect of an interactive decision-aid smartphone smoking cessation application (app) on quit rates: a double-blind automated randomised control trial protocol |
title_short | Assessing the effect of an interactive decision-aid smartphone smoking cessation application (app) on quit rates: a double-blind automated randomised control trial protocol |
title_sort | assessing the effect of an interactive decision-aid smartphone smoking cessation application (app) on quit rates: a double-blind automated randomised control trial protocol |
topic | Smoking and Tobacco |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4120407/ https://www.ncbi.nlm.nih.gov/pubmed/25037644 http://dx.doi.org/10.1136/bmjopen-2014-005371 |
work_keys_str_mv | AT bindhimnasserf assessingtheeffectofaninteractivedecisionaidsmartphonesmokingcessationapplicationapponquitratesadoubleblindautomatedrandomisedcontroltrialprotocol AT mcgeechankevin assessingtheeffectofaninteractivedecisionaidsmartphonesmokingcessationapplicationapponquitratesadoubleblindautomatedrandomisedcontroltrialprotocol AT trevenalyndal assessingtheeffectofaninteractivedecisionaidsmartphonesmokingcessationapplicationapponquitratesadoubleblindautomatedrandomisedcontroltrialprotocol |