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. 2019 Oct 22;2019(10):CD006611. doi: 10.1002/14651858.CD006611.pub5

BinDhim 2018.

Methods Study design: RCT
Countries: USA, Australia, UK and Singapore
Recruitment: users of the Apple App Store in the 4 countries were recruited passively via the app’s download page in the Apple App Store
Study date: 2014
Participants Baseline characteristics (n = 684)
  • Mean age: 28.3 (SD 10.0)

  • Female: 55% (N = 376)

  • < graduate level education: 46.3% (N = 317)

  • FTND: proportion 6‐10 (high‐very high): 36.7% (N = 251)

  • White: not stated


Inclusion criteria: the eligibility criteria were daily smokers of cigarettes, ≥ 18 years and from USA, UK, Singapore, Australia
Exclusion criteria: occasional smokers and users of other tobacco products
Interventions SSC app: decision aid app that included 4 main components that made optimal use of smartphone features: (1) mandatory information about quitting options, with their benefits and harms; (2) daily motivational messages using push notifications sent from the study server, (3) a quitting diary and (4) a quitting benefits tracker. The decision‐aid app allowed smokers to freely choose a quit method through a structured process of weighing up the available options and their benefits and harms.
Control App: both groups encouraged to set QD. App with information about quitting only
Outcomes Definition of abstinence: self‐reported continuous abstinence at 6 months
Funding source The app was developed by NFB as part of a PhD degree, advertisement was covered by a small fund from the PhD sponsor (Ministry of Education, Saudi Arabia)
Conflicts of interest None declared
Notes  
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Quote: "The study app automatically randomised eligible participants (daily cigarette smokers, aged 18 years and above and from the four countries) to either the intervention or the control sub‐app using stratified block (age, gender, country) randomisation. The strata were defined by age, country and gender."
Allocation concealment (selection bias) Low risk Quote: "The study app automatically randomised eligible participants (daily cigarette smokers, aged 18 years and above and from the four countries) to either the intervention or the control sub‐app using stratified block (age, gender, country) randomisation. The strata were defined by age, country and gender."
Blinding of outcome assessment (detection bias) 
 All outcomes Low risk All participant involvement was remote, through the apps, in both study arms
Incomplete outcome data (attrition bias) 
 All outcomes Low risk Numbers reported, similar in both groups (289/342 completed follow‐up in control group, 294/342 in intervention group). ITT analysis, imputation of missing data including sensitivity analysis and all missing as smoking