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. 2017 Nov 17;2017(11):CD003289. doi: 10.1002/14651858.CD003289.pub6

Woodruff 2007.

Methods Country: USA, San Diego County
 Setting: 14 schools
 Study design: cluster‐RCT
Participants Participants: 136 young people volunteering, (I = 77 ; C = 59)
 Age range: 14‐19 years
 Criterion for Inclusion: volunteering and consented (parents and teenagers) and smoking ≥ 1 cigarette within the last 30 days
 Inducements: participants were asked to complete an online survey and paid (sum in brackets) on completion of survey at baseline(USD 5), immediate post intervention (USD 10), 3 months post completion (USD 15) and 12 months post completion (USD 20)
 Follow‐up method: completion of online survey with reminders
 Pre‐study smoking status assessment: self‐reported
 Post‐study smoking status assessment: self‐reported quitting
Interventions Intervention: web‐based virtual reality world based on sky mall with students as avatars and counsellor present as avatar. Information represented as "shops" and galleries and chat possible as more than one student can be "present". Chat texted based at foot of screen. Students also offered 1‐to‐1 counselling sessions with Smoking Cessation professional
 Theoretical basis of intervention: MI and responses in virtual world based on SCT
 Control: asked to complete online surveys with inducements
Outcomes Self‐reported quitting (7‐day PPA) at 1 year; I = 19, C = 18
 Losses to follow‐up: overall 27.2%, I = 32.5%, C = 20.3%
Notes "Effects of clustering were small" so analysis at individual level
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Cluster‐randomized by school, method not described
Allocation concealment (selection bias) High risk Students recruited after schools randomized, with different recruitment methods. The 2 conditions did not differ significantly on demographic data, although a significantly greater proportion of intervention subjects were alternative/continuation high school students. The groups differed significantly on several baseline smoking variables
Blinding of participants and personnel (performance bias) 
 All outcomes Unclear risk Not specified but due to nature of intervention, performance bias unlikely
Blinding of outcome assessment (detection bias) 
 All outcomes High risk No blinding reported, no biochemical validation used
Incomplete outcome data (attrition bias) 
 All outcomes Low risk Loss to follow‐up was 25% post intervention, 21% for the 3‐month follow‐up survey, and 27% at 12 months. Survey non‐response was higher among intervention participants then among controls (33% vs 15%). All randomized participants included in ITT analysis

C: control group
 CBT: cognitive behavioural therapy
 CO: carbon monoxide
 cpd: cigarettes per day
 cpw: cigarettes per week
 ED: Emergency Department
 FTND: Fagerstrom Test for Nicotine Dependence
 h: hour(s)
 I: intervention group
 ITT: intention‐to‐treat
 MI: Motivational Interview/ing
 NoT: Not on Tobacco
 NRT: nicotine replacement therapy
 (m)FTQ: (modified) Fagerstrom tolerance questionnaire
 OR: odds ratio
 PPA: point prevalence abstinence
 RCT: randomized controlled trial
 SCT: social‐cognitive theory
 SD: standard deviation
 SR: sustained release
 TTM: Transtheoretical model (stages of change)