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Referencias

References to studies included in this review

Burke 1992 {published and unpublished data}

Burke JA, Naughton MJ, Becker SL, Arbogast R, Lauer RM, Krohn MD. The short‐term effects of competition and rewards in an adolescent smoking prevention program. Health Education Quarterly 1987;14(2):141‐52. CENTRAL
Burke JA, Salazar A, Daughety V, Becker SL. Activating interpersonal influence in the prevention of adolescent tobacco use: An evaluation of Iowa's program against smoking. Health Communication 1992;4:1‐17. CENTRAL

Crone 2003 {published and unpublished data}

Crone MR, Reijneveld SA, Willemsen MC, Van Leerdam FJ, Spruijt RD, Sing RA. Prevention of smoking in adolescents with lower education: a school based intervention study. Journal of Epidemiology and Community Health 2003;57(9):675‐80. CENTRAL

Isensee 2012a {published data only}

Hanewinkel R, Isensee B, Maruska K, Sargent JD, Morgenstern M. Denormalising smoking in the classroom: does it cause bullying?. Journal of Epidemiology and Community Health 2010;64(3):202‐8. CENTRAL
ISRCTN27091233. Effectiveness of the "Smoke‐Free Class competition" in delaying the onset of smoking in adolescence: a cluster‐randomised controlled trial (Germany). www.isrctn.com/ISRCTN27091233 23rd April 2007. CENTRAL
Isensee B, Morgenstern M, Stoolmiller M, Maruska K, Sargent JD, Hanewinkel R. Effects of Smokefree Class Competition 1 year after the end of intervention: a cluster randomised controlled trial. Journal of Epidemiology and Community Health 2012;66(4):334‐41. CENTRAL

Kairouz 2009 {published and unpublished data}

Kairouz S, O'Loughlin J, Laguë J. Adverse effects of a social contract smoking prevention program among children in Quebec, Canada. Tobacco Control 2009;18(6):474‐8. CENTRAL

Schulze 2006 {published and unpublished data}

Hanewinkel R, Wiborg G, Isensee B, Nebot M, Vartiainen E. "Smoke‐free Class Competition": far‐reaching conclusions based on weak data. Preventive Medicine 2006;43(2):150‐1. CENTRAL
Potschke‐Langer M, Edler L, Mons U. "Smoke‐free Class Competition": A reply to the initiators of the program. Preventive Medicine2006; Vol. 43, issue 2:151‐3. CENTRAL
Schulze A, Mons U, Edler L, Potschke‐Langer M. "Smoke‐free class competition: A reply to the initiators of the program": Erratum. Preventive Medicine2007; Vol. 44, issue 2:183. CENTRAL
Schulze A, Mons U, Edler L, Potschke‐Langer M. Lack of sustainable prevention effect of the "Smoke‐Free Class Competition" on German pupils. Preventive Medicine 2006;42(1):33‐9. CENTRAL

Stucki 2014 {published and unpublished data}

Stucki S, Kuntsche E, Archimini A, Kuntsche S. Does smoking within an individual's peer group affect intervention effectiveness? An evaluation of the Smoke‐Free Class Competition among Swiss adolescents. Preventive Medicine 2014;65:52‐27. CENTRAL

Vartiainen 1996 {published and unpublished data}

Hanewinkel R, Wiborg G, Paavola, M, Vartiainen E. European smoke‐free competition. Tobacco Control 1998;7(3):326. CENTRAL
Vartiainen E, Saukko A, Paavola M, Vertio H. "No Smoking Class" competitions in Finland: their value in delaying the onset of smoking in adolescence. Health Promotion International 1996;11:189‐92. CENTRAL

Wiborg 2002 {published and unpublished data}

Hanewinkel R, Wiborg G. Primary and secondary prevention of smoking in adolescents: Results of the campaign "be smart ‐ don't start". Gesundheitswesen 2002;64(8‐9):492‐8. CENTRAL
Hanewinkel R, Wiborg G. School‐based smoking prevention: Results of a prospective controlled trial. Sucht: Zeitschrift fur Wissenschaft und Praxis 2003;49(6):333‐41. CENTRAL
Hoeflmayr D, Hanewinkel R. Do school‐based tobacco prevention programmes pay off? The cost‐effectiveness of the 'Smoke‐free Class Competition'. Public Health 2008;122(1):34‐41. CENTRAL
Wiborg G, Hanewinkel R. Effectiveness of the "Smoke‐Free Class Competition" in delaying the onset of smoking in adolescence. Preventive Medicine 2002;35(3):241‐9. CENTRAL
Wiborg G, Hanewinkel R, Kliche, KO. Be Smart Don't Start campaign to prevent children from starting to smoke: an analysis according to type of school they attend. Deutsche Medizinische Wochenschrift 2002;127:430‐36. CENTRAL

References to studies excluded from this review

Al‐sheyab 2016 {published data only}

Al‐sheyab N A, Alomari M A, Shah S, Gallagher, R. "Class smoke‐free" pledge impacts on nicotine dependence in male adolescents: A cluster randomised controlled trial. Journal of Substance Use 2016;2016:1‐9. [DOI: 10.3109/14659891.2015.1112848]CENTRAL

Bate 2009 {published data only}

Bate SL, Stigler MH, Thompson MS, Arora M, Perry CL, Reddy KS, et al. Psychosocial mediators of a school‐based tobacco prevention program in India: results from the first year of project MYTRI. Prevention Science 2009;10(2):116‐28. CENTRAL
Perry CL, Stigler MH, Arora M, Reddy KS. Preventing tobacco use among young people in India: Project MYTRI. Journal of Public Health 2009;99(5):899‐906. CENTRAL

Baudier 1991 {published data only}

Baudier F, Henry Y, Marchais M, Dorier J, Lombardet A, Llaona P, et al. The "Besancon smoke‐free" programme. Concepts, measures and evaluation. Hygie 1991;10(4):18‐25. CENTRAL

Bruvold 1993 {published data only}

Bruvold WH. A meta‐analysis of adolescent smoking prevention programs. American Journal of Public Health 1993;83(6):872‐80. CENTRAL

Cote 2006 {published data only}

Cote F, Godin G, Gagne C. Efficiency of an evidence‐based intervention to promote and reinforce tobacco abstinence among elementary schoolchildren in a school transition period. Health Education and Behavior 2006;33(6):747‐59. CENTRAL

De Vries 2006 {published data only}

De Vries H, Dijk F, Wetzels J, Mudde A, Kremers S, Ariza C, et al. The European Smoking prevention Framework Approach (ESFA): effects after 24 and 30 months. Health Education Research 2006;21(1):116‐32. CENTRAL

Elder 1987 {published data only}

Elder JP, Stern RA, Andersen M, Hovell MF, Molgaard CA, Seidman RL. Contingency‐based strategies for preventing alcohol, drug, and tobacco use: missing or unwanted components of adolescent health promotion?. Education and Treatment of Children 1987;10(1):33‐47. CENTRAL

Elder 1989 {published data only}

Edwards CC, Elder JP, De Moor C, Wildey MB, Mayer JA, Senn KL. Predictors of participation in a school‐based anti‐tobacco activism program. Journal of Community Health 1992;17(5):283‐9. CENTRAL
Elder JP, Atkins C, De Moor C, Edwards CC, Golbeck A, Hovell MF, et al. Prevention of tobacco use among adolescents in public schools in San Diego County, U.S.A. Sozial‐ und Praventivmedizin 1989;34(1):24‐9. CENTRAL

Etter 2006 {published data only}

Etter J, Bouvier P. European smokefree class competition: A measure to decrease smoking in youth‐‐Author's reply. Journal of Epidemiology & Community Health2007; Vol. 61, issue 8:750‐1. CENTRAL
Etter J, Bouvier P. Some doubts about one of the largest smoking prevention programmes in Europe, the smokefree class competition. Journal of Epidemiology & Community Health 2006;60(9):757‐9. CENTRAL
Hanewinkel R, Wiborg G, Abdennbi K, Ariza C, Bollars C, Bowker S, et al. European smokefree class competition:a measure to decrease smoking in youth ‐ authors' reply. Journal of Epidemiology and Community Health 2007;61(8):750‐1. CENTRAL

Hanewinkel 2003 {published data only}

Hanewinkel R, Wiborg G. Diffusion of the non‐smoking campaign "Be Smart‐Don't Start" between 1997 and 2003 in Germany. Gesundheitswesen 2003;65(4):250‐4. CENTRAL

Hanewinkel 2007a {published data only}

Hanewinkel R. "Be smart ‐ Don't start". Results of a non‐smoking competition in Germany 1997‐2007. Gesundheitswesen 2007;69(1):38‐44. CENTRAL

Higgins 2002 {published data only}

Higgins ST, Alessi SM, Dantona RL. Voucher‐based incentives. A substance abuse treatment innovation. Addictive Behaviors 2002;27(6):887‐910. CENTRAL

Hovell 2001 {published data only}

Hovell MF, Jones JA, Adams MA. The feasibility and efficacy of tobacco use prevention in orthodontics. Journal of Dental Education 2001;65(4):348‐53. CENTRAL
Hovell, MF, Slymen DJ, Jones JA, Hofstetter CR, Burkham‐Kreitner S, Conway TL, et al. An adolescent tobacco‐use prevention trial in orthodontic offices. American Journal of Public Health 1996;86(12):1760‐6. CENTRAL

Hruba 2007 {published data only}

Hruba D, Zachovalova V, Matejova H, Dankova I. "Our class does not smoke"; the Czech version of the "smoke‐free class competition" programme. Central European Journal of Public Health 2007;15(4):163‐6. CENTRAL

Isensee 2007 {published data only}

Isensee B, Hanewinkel R. Effects of repeated participation in the non‐smoking competition "Be smart‐‐Don't start.". Sucht: Zeitschrift fur Wissenschaft und Praxis 2007;53(6):328‐34. CENTRAL

ISRCTN39902015 {published data only}

ISRCTN39902015. Effectiveness of the "Smoke‐Free Class competition" in delaying the onset of smoking in adolescence in Polish students: a cluster‐randomized controlled trial. www.isrctn.com/ISRCTN39902015 14th January 2008. CENTRAL

Jackson 2006 {published data only}

Jackson C, Dickinson D. Enabling parents who smoke to prevent their children from initiating smoking: results from a 3‐year intervention evaluation. Archives of Pediatrics & Adolescent Medicine 2006;160(1):56‐62. CENTRAL

Krishnan‐Sarin 2013 {published data only}

Krishnan‐Sarin S, Cavallo DA, Cooney JL, Schepis TS, Kong G, Liss TB, et al. An exploratory randomized controlled trial of a novel high‐school‐based smoking cessation intervention for adolescent smokers using abstinence‐contingent incentives and cognitive behavioral therapy. Drug and Alcohol Dependence 2013;132(1‐2):346‐51. CENTRAL

Lee 1983 {published data only}

Lee KJ. A design for a health education program. Cigarette smoking and health for junior high school. Taehan Kanho ‐ Korean Nurse 1983;22(1):47‐64. CENTRAL

Mercken 2012 {published data only}

Mercken L, Moore L, Crone MR, De Vries H, De Bourdeaudhuiji I, Lien N, et al. The effectiveness of school‐based smoking prevention interventions among low‐ and high‐SES European teenagers. Health Education Research 2012;27(3):459‐69. CENTRAL

Murray 1992 {published data only}

Murray DM, Perry CL, Griffin G, Harty KC, Jacobs DR, Schmid L, et al. Results from a statewide approach to adolescent tobacco use prevention. Preventive Medicine 1992;21(4):449‐72. CENTRAL

Perry 2009 {published data only}

Perry CL, Stigler MH, Arora M, Reddy S. Preventing tobacco use among young people in India: Project MYTRI. American Journal of Public Health 2009;99(5):899‐906. CENTRAL

Persson 2003 {published data only}

Persson L. "Contract" prevents school youth from initiating tobacco use. Percentage of smoking/snuff‐taking 13‐16‐year‐olds cut in half over a six‐year period. Lakartidningen 2003;100(4):226‐9. CENTRAL

Pomrehn 1995 {published data only}

Pomrehn PR, Jones MP, Ferguson KJ, Becker SL. Tobacco use initiation in middle school children in three Iowa communities: results of the Iowa Program Against Smoking (I‐PAS). Journal of Health Education 1995;26(2):92‐100. CENTRAL

Price 1992 {published data only}

Price JH, Telljohann SK, Roberts SM, Smit D. Effects of incentives in an inner city junior high school smoking prevention program. Journal of Health Education 1992;23(7):388‐99. CENTRAL

Rand 1989 {published data only}

Rand CS, Stitzer ML, Bigelow GE, Mead AM. The effects of contingent payment and frequent workplace monitoring on smoking abstinence. Addictive Behaviors 1989;14(2):121‐8. CENTRAL

Schmid 2006 {published data only}

Schmid H. Smokefree class competition in Switzerland: does it work with negative peer pressure. Psychology and Health 2006;20(Suppl 1):116‐7. CENTRAL

Sigmon 2008 {published data only}

Sigmon SC, Lamb RJ, Dallery J. Tobacco. In: Higgins ST, Silverman K, Heil SH editor(s). Contingency Management in Substance Abuse Treatment. New York, NY: The Guilford Press, 2008:99‐119. CENTRAL

Trofor 2009 {published data only}

Trofor A, Mihaltan F, Mihaicuta S, Lotrean L. Smoking cessation and prevention for young people‐‐Romanian expertise. Pneumologia 2009;58(1):72‐8. CENTRAL

Wiborg 1999 {published data only}

Wiborg G, Hanewinkel R. Be smart ‐ Don't start: A school campaign against smoking. Verhaltenstherapie 1999;9:79‐80. CENTRAL

Wiborg 2001 {published data only}

Wiborg G, Hanewinkel R. Conception and process evaluation of a school‐based smoking prevention project. Sucht: Zeitschrift fur Wissenshcaft und Praxis 2001;47(1):25‐32. CENTRAL

Wiborg 2004 {published data only}

Wiborg G, Hanewinkel R, Isensee B, Horn WR. Development, implementation and evaluation of a program for the cessation of smoking for adolescents and young adult smokers. Gesundheitswesen 2004;66(7):433‐8. CENTRAL

Ajzen 1977

Ajzen I, Fishbein M. Attitude‐behavior relation: A theoretical analysis and review of empirical research. Psychological Bulletin 1977;84:888‐918.

Breslau 1996

Breslau N, Peterson EL. Smoking cessation in young adults: age at initiation of cigarette smoking and other suspected influences. American Journal of Public Health1996; Vol. 86, issue 2:214‐20.

Brinn 2010

Brinn MP, Carson KV, Esterman AJ, Chang AB, Smith BJ. Mass media interventions for preventing smoking in young people. Cochrane Database of Systematic Reviews 2010, Issue 11. [DOI: 10.1002/14651858.CD001006.pub2]

Cahill 2008

Cahill K, Perera R. Quit and Win contests for smoking cessation. Cochrane Database of Systematic Reviews 2008, Issue 4. [DOI: 10.1002/14651858.CD004986.pub3]

Cahill 2011

Cahill K, Perera R. Competitions and incentives for smoking cessation. Cochrane Database of Systematic Reviews 2011, Issue 4. [DOI: 10.1002/14651858.CD004307.pub4]

Cahill 2015

Cahill K, Hartmann‐Boyce J, Perera R. Incentives for smoking cessation. Cochrane Database of Systematic Reviews 2015;DOI: 10.1002/14651858.CD004307.pub5(5):Art No. CD004307.

Campbell 2004

Campbell MK, Elbourne DR, Altman DG. CONSORT statement: extension to cluster randomised trials. BMJ 2004;328(7441):702‐8.

Carmerer 1999

Carmerer C, Ho T‐H. Experience‐weighted attraction: learning in normal form games. Econometrica1999; Vol. 67, issue 4:837‐74.

Connolly 2006

Connolly T, Butler DU. Regret in economic and psychological theories of choice. Journal of Behavioral Decision Making2006; Vol. 19, issue 2:139‐58.

Dolcini 2003

Dolcini MM, Adler NE, Lee P, Bauman KE. An assessment of the validity of adolescent self‐reported smoking using three biological indicators. Nicotine & Tobacco Research 2003;5(4):473‐83.

European Commission 2016

European Commission. Smokefree Class Competition. ec.europa.eu/social/main.jsp?catId=1251&langId=en&reviewId=227 (Accessed 4th April 2017).

Giraudeau 2009

Giraudeau B, Ravaud P. Preventing bias in cluster randomised trials. PLoS Medicine 2009;6(5):e1000065.

GYTS 2002

Global Youth Tobacco Survey Collaborative Group (GYTS). Tobacco use among youth: a cross country comparison. Tobacco Control2002; Vol. 11, issue 3:252‐70.

Hanewinkel 2002

Hanewinkel R, Wiborg, G. Primary and secondary prevention of smoking in adolescents: Results of the campaign "be smart ‐ don't start". Gesundheitswesen 2002;64(8‐9):492‐8.

Hanewinkel 2006

Hanewinkel R, Wiborg G, Isensee B, Nebot M, Vartiainen E. "Smoke‐free Class Competition": Far‐reaching conclusions based on weak data. Preventive Medicine 2006;43(2):150‐1.

Hanewinkel 2007b

Hanewinkel R. Effectiveness of the "Smoke‐Free Class competition" in delaying the onset of smoking in adolescence: a cluster‐randomised controlled trial (Germany). ISRCTN27091233. http://www.controlled‐trials.com/mrct/trial/2283405/hanewinkel. Current Controlled Trials, 2007.

Hanewinkel 2010

Hanewinkel R, Isensee B, Maruska K, Sargent JD, Morgenstern M. Denormalising smoking in the classroom: does it cause bullying?. Journal of Epidemiology and Community Health 2010;64(3):202‐8.

Higgins 2011

Higgins JPT, Green S, editor(s). Cochrane Handbook for Systematic Review of Interventions, 5.1.0 (updated March 2011). The Cochrane Collaboration, 2011. Available from handbook.cochrane.org.

Hoeflymayr 2008

Hoeflmayr D, Hanewinkel R. Do school‐based tobacco prevention programmes pay off? The cost‐effectiveness of the 'Smoke‐free Class Competition'. Public Health 2008;122(1):34‐41.

IFT‐NORD 2009

IFT‐NORD. Smoke‐free class competition: A European programme for smoking prevention in schools. Best practice guide. www.npt.gov.uk/PDF/healthyschools_smokefree_bestpractice.pdf2009.

Isensee 2012b

Isensee B, Hanewinkel R. Meta‐analysis on the effects of the smoke‐free class competition on smoking prevention in adolescents. Journal of Epidemiology and Community Health 2012;18(3):110‐5.

Jochelson 2007

Jochelson K. Paying the patient: improving health using financial incentives. www.kingsfund.org.uk/sites/files/kf/field/field_document/paying‐the‐patient‐kicking‐bad‐habits‐supporting‐paper‐karen‐jochelson.pdf (Accessed 28th April 2017).

Kane 2004

Kane RL, Johnson PE, Town RJ, Butler M. A structured review of the effect of economic incentives on consumers' preventive behavior. American Journal of Preventive Medicine2004; Vol. 27, issue 4:327‐52.

Kavanagh 2011

Kavanagh J, Oakley A, Harden A, Trouton A, Powell, C. Are incentive schemes effective in changing young people’s behaviour? A systematic review. Health Education Journal 2011;70(2):192‐205.

Mantzari 2015

Mantzari E, Vogt F, Shemilt I, Wei Y, Higgins JP, Marteau TM. Personal financial incentives for changing habitual health‐related behaviors: A systematic review and meta‐analysis. Preventive Medicine 2015;75:75‐85. [DOI: 10.1016/j.ypmed.2015.03.001]

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Marteau T, Ashcroft R, Oliver A. Using financial incentives to achieve healthy behaviour. BMJ2009; Vol. 338:963‐85.

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Mathers CD, Loncar D. Projections of global mortality and burden of disease from 2002 to 2030. PLoS Medicine 2006;3(11):442.

Mayhew 2000

Mayhew KP, Flay BR, Mott JA. Stages in the development of adolescent smoking. Drug and Alcohol Dependence 2000;59 Suppl 1:S61‐81.

Mitchell 2013

Mitchell MS, Goodman JM, Alter DA, John LK, Oh PI, Pakosh MT, et al. Financial incentives for exercise adherence in adults: systematic review and meta‐analysis. American Journal of Preventive Medicine November 2013;45(5):658‐67.

Potschke‐Langer 2006

Potschke‐Langer M, Edler L, Mons U. "Smoke‐free Class Competition": A reply to the initiators of the program. Preventive Medicine 2006;43(2):151‐3.

Reitsma 2017

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Siddiqui O, Hedeker D, Flay BR, Hu FB. Intraclass correlation estimates in a school‐based smoking prevention study: Outcome and mediating variables, by sex and ethnicity. American Journal of Epidemiology1996; Vol. 144, issue 4:425‐33.

Singh 2016

Singh T, Arrazola RA, Corey CG, Husten CG, Neff LJ, Homa DM, et al. Tobacco use among middle and high school students ‐ United States, 2011‐2015. Morbidity and Mortality Weekly Report 2016;65(14):361‐7. [DOI: 10.15585/mmwr.mm6514a1]

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References to other published versions of this review

Johnston 2012

Johnston V, Liberato S, Thomas D. Incentives for preventing smoking in children and adolescents. Cochrane Database of Systematic Reviews 2012, Issue 10. [DOI: 10.1002/14651858.CD008645.pub2]

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Characteristics of studies

Characteristics of included studies [ordered by study ID]

Burke 1992

Methods

Controlled cluster trial, no randomization reported. Public schools assigned to intervention in 2 communities, with the third community acting as control

Participants

Country: USA (3 communities in Iowa). 7th graders in participating schools. 1187 students completed baseline surveys. Authors reported majority were white (> 90%), working or middle class students

Interventions

2 intervention communities received an education programme (6 sessions) plus competitions. 2 competitions ran concurrently: 1 which aimed to improve knowledge and the other to reward non‐smoking.

Competition 1: A t‐shirt with the project logo was given to all students in the class at each school with most improved knowledge

Competition 2. Non‐smoking competition between 7th graders in the 2 intervention communities. Students in the community with lower smoking rates at end of the project rewarded with a movie pass and voucher for free ice‐cream

Control community received only education programme

Outcomes

Baseline (Fall 1984) – survey of tobacco use (self‐reported description using 5 categories, frequency measured using 5 categories, quantity measured using 6 categories), smoking beliefs, subjective norms, knowledge, saliva TCN

 

18‐month follow‐up (Spring 1986) – 18‐month follow‐up survey of tobacco use (self‐reported description measured using 5 categories, smoking frequency using 10 categories (never smoked (1) to smoke more than half a packet a day (10)),  smoking beliefs, subjective norms, saliva TCN

 

TCN results only used to justify the use of self‐report except at baseline when 39 self‐reported never‐smokers were reclassified as occasional smokers

Notes

Theoretical basis: Intervention based on Fishbein & Ajzen’s theory of reasoned action which posits that preventing behaviour depends on altering relevant beliefs and norms

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

High risk

Non‐randomized. No data on breakdown of demographics (age, sex, SES) provided between intervention and control groups. Authors reported no significant pre‐intervention differences found between the 2 groups on self‐report/biochemical assessment of smoking status, knowledge, beliefs and smoking intentions

Allocation concealment (selection bias)

High risk

See above

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

Not reported but unlikely to affect outcome

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Not reported. Students’ self‐reporting of smoking status may have been influenced by knowledge that they were in a competition for prizes

Incomplete outcome data (attrition bias)
All outcomes

Low risk

1187 participants surveyed at baseline (Fall 1984), 964 followed up 18 months later (81%). More participants lost in control (22.6%) than intervention (16.7%) group. The authors reported “No significant interaction was found for 3 of the 4 pre‐intervention measures of smoking, we concluded that the validity of the study was not jeopardized by differential attrition.”

Selective reporting (reporting bias)

Unclear risk

Insufficient reporting to make a judgement on prespecified outcomes

Crone 2003

Methods

Randomized controlled cluster trial

Participants

Country: Netherlands. 26 schools providing lower secondary education. Schools recruited through community health services. 14 of 54 health services provided names of schools. 26 schools were recruited but unclear about number of schools approached

 

'First grade students' from 154 classes participated (mean age 13 years). 1444 in intervention, 1118 in control at baseline. Minority of the sample were of non‐Dutch ethnicity

Interventions

As well as usual drug prevention/education programme, the intervention classes received 3 lessons on knowledge, attitude and social influence, followed by class agreement not to start smoking or stop smoking for 5 months. Admission to competition to win a prize dependent on classes completing registration, having < 10% smokers after 5 months and producing a photo expressing the idea of a non‐smoking class. Competition prizes (monetary prizes EUR 220 – EUR 450) available to 6 classes with < 10% smoking and ‘a photo best expressing a non‐smoking class’.

 

Control classes received the usual drug prevention/education programme; in 7 schools this was the national drug education programme

Outcomes

Baseline (October 1998)

8 months follow‐up (June 1999)

20 months follow‐up (June 2000)

 

Self‐reported smoking behaviour, intentions and attitudes measured at each time point. Smoking defined as including ‘experimenting’, weekly and daily smoking. No biochemical verification of smoking

Notes

Theoretical basis: Intervention based on ‘social influence model’, which was not described in detail

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Schools recruited, then randomized. Coin tossing by independent person. Intervention group had a significantly lower proportion of boys, older participants, and non‐Dutch participants at baseline. These were adjusted for in the reported analyses. No significant difference in smoking prevalence between groups at baseline

Allocation concealment (selection bias)

Low risk

Allocation by independent person

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

Not blinded but unlikely to affect outcome

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Students told that the jury of the competition were not informed of the results of the study and that registration for the competition was conducted independently of the study evaluation

Incomplete outcome data (attrition bias)
All outcomes

High risk

High number lost to follow‐up: in intervention group, 907 participants were lost to follow‐up (1444 at baseline to 537 at 20 months). In control group, 714 participants were lost to follow‐up (1118 at baseline to 404 at 20 months). 1 school dropped out in intervention; 2 schools dropped out in control

 

Statistically significantly different distribution of baseline measures of SES, ethnicity, religion, age and smoking among those who were followed up at 8 months and were lost to follow‐up. Non‐response was higher among smokers, especially in the control group. Similar comparisons were not made at 20 months

Selective reporting (reporting bias)

Unclear risk

Insufficient reporting to make a judgement on prespecified outcomes

Isensee 2012a

Methods

Randomized controlled cluster trial

Participants

Country: Germany (1 rural region). 7th grades of 212 eligible ‘Gymnasium’ (for high academic‐achieving students) and ‘Sekundarschule’ schools invited to participate. Schools stratified by type of school. Exclusion criteria: (a) foreseen closure of school in next 2 years; (b) school engaged in tobacco control programme; (c) participated in the intervention before. 50% girls. Mean age 12.65 years. SES measured using type of school as a proxy (Sekundarschule schools = lower SES). SES not reported.  > 95% students were of German nationality

Interventions

Intervention: SFC competition: classes agree and sign a contract to remain smoke‐free for 6 months to enter a lottery to win a number of prizes, the grand prize including a class trip. Requirements to participate: at least 90% of class must agree to participate; classes monitor smoking on a weekly basis; classes report whether > 90% non‐smokers to the organisers on a monthly basis. If the class is smoke‐free (> 90% non‐smokers) they remain in the competition for prizes, with the main prize being a class trip; if not they drop out. The intervention group consisted of 2 subgroups: the classes who agreed to participate (IG‐participation) and the classes who were randomized to intervention group but declined to participate (IG‐no participation). Participating classes also received material including the contract, feedback cards, parent leaflet, CD‐ROM, and access to web page

 

Control group classes received ‘usual curriculum’

Outcomes

Baseline (October 2008)

1st follow‐up at 7 months post‐baseline

2nd follow‐up at 12 months post‐baseline

3rd follow‐up at 19  months post‐baseline

 

At baseline and follow‐ups participants completed a questionnaire asking about self‐reported ‘current smoking’ (non‐smoker, occasional use or regular use) and ‘lifetime smoking’ (never, experimenters, established smoking)

Notes

Theoretical basis: Intervention based on principles of correcting social norms (i.e. correcting the common overestimation of smokers by adolescents) and fostering commitment to a social contract

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Schools stratified by type of school, consented to participate and then assigned to groups by drawing lots. Lifetime and current smoking more frequent in IG‐no participation group compared with the other 2 groups (IG‐participation and control). Baseline group differences in outcome and confounding variables adjusted for in reported analyses. In our reanalysis of data we only compared IG‐participation and control groups (IG‐no participation excluded)

Allocation concealment (selection bias)

Low risk

Allocating person was blinded to purpose of the study

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

Not reported but unlikely to affect outcome

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Students not informed that outcome assessments were linked to the SFC. Authors noted that they did not observe a difference between groups regarding inconsistent response patterns over time (e.g. backward transitions for lifetime use)

Incomplete outcome data (attrition bias)
All outcomes

Low risk

3490 participants at baseline, 3123 at 7 months, 2595 at 12 months, 2420 at 19 months. 2159 completed all assessments (61%). 6 schools lost from intervention; 2 from control.

Attrition analyses performed. Authors report, "Since attrition effects are especially problematic when study dropout is related to one of the outcome variables, we also checked interactions between covariates and intervention status with respect to attrition. However, we found significant interaction effects only for the variables age (interaction age×IG‐no participation (ref. CG): OR=1.37 (1.08 to 1.74), p=0.009) and school type."

Selective reporting (reporting bias)

Unclear risk

Primary outcomes specified in study protocol (ISRCTN27091233) were (i) knowledge about smoking; (ii) attitudes towards smoking; (iii) intention to use tobacco; and (iv) smoking status. Only smoking status reported in this paper

Kairouz 2009

Methods

Controlled cluster trial, no randomization reported. Public schools assigned to intervention in 2 communities, with the third community acting as control

Participants

Country: Canada (3 city health regions). All elementary schools in these regions invited to participate in the intervention arm (number of schools not reported), 27 agreed, 1262 completed baseline measures. Control schools from 2 different health regions matched to intervention regions in terms of location, urbanization and sociodemographic characteristics. 2 control schools matched to each intervention school according to location and school deprivation indicator. 57 control schools invited to participate, 1657 completed baseline measures. Sample was grade 6 students. Ethnicity not stated and SES described using a measure of school deprivation

Interventions

Intervention: SFC competition (variant): To participate in intervention programme each class was required to have at least 90% of students sign a confidential contract not to smoke for 6 months. Intervention participants received the ‘Mission TNT.06’ programme; a 6‐month programme consisting of didactic material, teacher’s guide and resources to improve knowledge about the health and social effects of smoking. Dose and frequency of education programme unclear. Teachers and students received participation incentives and classes were eligible for half‐day surprise activities

 

Control group: unclear as to what they received. Authors were contacted to provide further information but this was not forthcoming

Outcomes

Baseline (Oct ‐ Dec 2002)

Follow‐up at 10 ‐ 14 months (Oct 2003 ‐ April 2004)

 

At both baseline and follow‐up participants asked about self‐reported ‘ever smoking’ status defined as ever smoking a cigarette in their life, even a puff. Also questions on knowledge, attitudes and beliefs about tobacco. No biochemical verification of smoking status

Notes

Theoretical basis: The premise for the intervention rested on positive reinforcement for not smoking to stimulate the desired behaviour, but did not reference a specific social theory

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

High risk

Non‐randomized. Matched allocation of control schools. No breakdown of demographics (age, sex, SES) provided between intervention and control baseline participants. Comparison of baseline characteristics of those who completed follow‐up reported, with significant differences by age, school location and social deprivation index (adjusted for in reported analyses)

Allocation concealment (selection bias)

High risk

See above

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

Not reported but unlikely to affect outcome

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Students’ self‐reporting of smoking status may have been influenced by knowledge that they were in a competition for prizes. Note large numbers of ever‐smokers at baseline denying ever smoking at follow‐up. Statistically significantly more in intervention vs control (24% vs 16%)

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

1262 participants in intervention arm completed baseline, 843 completed follow‐up (33% loss to follow‐up); 1657 participants in control arm completed baseline, 1213 completed follow‐up (27% loss to follow‐up). Analytic sample were those that completed baseline and follow‐up. Reasons for attrition not reported. No detail on comparison between those followed up and those lost to follow‐up

Selective reporting (reporting bias)

Unclear risk

Insufficient reporting to make a judgement on prespecified outcomes

Schulze 2006

Methods

Randomized controlled cluster trial

Participants

Country: Germany (3 counties). 7th grades of all Heidelberg schools and a random sample of schools in Mannheim and Rhine‐Neckar counties. Schools stratified by type of school (unclear what the differences were between schools). 172 classes from 68 schools participated. Approximately 50% girls. > 90% 12 ‐ 13 years. SES and ethnicity not reported

Interventions

Intervention: SFC competition. Classes agree and sign a contract to remain smoke‐free for 6 months to enter a lottery to win a number of prizes, the grand prize including a class trip. Requirements to participate: school classes decide to be a non‐smoking class for 6 months; classes monitor smoking and report it regularly to competition organizers. If the class is smoke‐free (≥ 90% non‐smokers) they remain in the competition for prizes. If > 10% of the class is smoking, the class drops out of the competition. The intervention included weekly curricula consisting of health information about smoking and strategies for how to quit smoking and resist peer pressure to smoke

 

Unclear exactly what the control group received

Outcomes

Baseline (October 2008)

Follow‐up at 24 months post‐baseline

 

At both baseline and follow‐up participants completed a questionnaire asking about self‐reported smoking. Note additional response options added in follow‐up survey

Notes

Theoretical basis: None reported

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Sequence generation process not reported but authors stated schools were "randomly assigned." Active recruitment whereby schools randomized and then classes recruited. 3 classes in control refused to forego intervention and were included in intervention. Some systematic differences between 2 groups relating to age and smoking status as baseline. Significantly more smokers in control group. Adjusted for age in final reported analysis

Allocation concealment (selection bias)

Unclear risk

Process for allocation concealment not reported. See above

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

Not reported but unlikely to affect outcome

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Students not informed that outcome assessments were linked to the SFC

Incomplete outcome data (attrition bias)
All outcomes

High risk

High level of attrition: 4043 participants at baseline, 1852 followed‐up at 24 months Overall attrition rate 54%. No association between intervention group and attrition Reasons for attrition not reported in detail. Association between smoking status and attrition not explored

Selective reporting (reporting bias)

Unclear risk

Prespecified outcomes unclear

Stucki 2014

Methods

Controlled cluster trial, no randomization reported. Schools assigned to intervention based on agreement to participate, with non‐participating classes acting as controls and matched with participating classes based on region and age group

Participants

Country: Switzerland. Canton of Berne, German‐ and French‐speaking classes, urban and rural areas. Total of 1035 participants from 71 classes ‐ 34 in participation (intervention) group, 37 in control group. All participants were in 7th or 8th grade. Mean age 13.3 years, 53.2% girls

Interventions

SFC competition. Entire classes were required to commit to a contract to be smoke‐free for 6 months to win a prize

Outcomes

Smoking status at baseline (Oct/Nov 2010), and follow up about 7 months later (May/Jun 2011). Self‐reported smoking status in the past 6 months, and also in past month. Smoking‐related knowledge was assessed at baseline and follow‐up. Peer smoking was also recorded at baseline

Notes

Theoretical basis: Intervention based on principles of correcting social norms (i.e. correcting the common overestimation of smokers by adolescents) and fostering commitment to a social contract

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

High risk

Randomization was not possible, as classes registered of their own accord. Analysis was undertaken for a randomly selected subsample of participating and non‐participating classes. Some differences between participating classes that participated and completed the competition compared to control, and participating classes that dropped out compared to control. (Age, class atmosphere, peers who smoked)

Allocation concealment (selection bias)

High risk

No process for allocation concealment reported

Blinding of participants and personnel (performance bias)
All outcomes

Unclear risk

Not reported

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Not reported

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Overall low attrition

Selective reporting (reporting bias)

Unclear risk

Insufficient reporting to make a judgement on prespecified outcomes

Vartiainen 1996

Methods

Controlled cluster trial

Participants

Country: Finland.  Intervention: All 600 junior high schools in Finland were invited to be in SFC competition each year.  In 1991‐2, 1219 8th Grade classes (from 368 schools) entered the competition (⅓ of age cohort) and 65 of these classes were randomly selected to take part in this study 

Control group: randomly selected from classes that did not register for the competition

Age of participants not provided but reported they were 8th graders (approx. 14 year olds). Sex, SES and ethnicity not reported

Interventions

Intervention: SFC competition (here known as ‘no smoking class competition’): classes agree and must remain 100% smoke‐free for 6 months to enter a lottery to win 4 main prizes of USD 2000 and 10 second prizes of USD 200; the grand prize including a class trip. Prize money can be used in any way the class chooses. Requirements to participate: All of class must agree to participate; classes monitor smoking on a weekly basis; if anyone starts smoking and does not quit the class must drop out of the competition. The contact teacher for each class organizes health education sessions about smoking during school hours – no other details provided about this education

 

Unclear what control group classes received

Outcomes

Baseline (Fall 1991)

1st follow‐up at 6 months post‐baseline (Spring 1992)

2nd follow‐up at 18 months post‐baseline (Spring 1993)

 

At both baseline and follow‐up participants completed a questionnaire asking about self‐reported daily smoking (Do you now smoke?: not at all/less than once a month/1 ‐ 2 times a month/1 ‐ 2 times a week/daily).  Daily smokers were reported as smokers)

Notes

Theoretical basis: not provided

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

High risk

Non‐randomized. No baseline comparisons except smoking status. A higher proportion of control group reported daily smoking at baseline compared with the intervention group. This was adjusted for in final reported analysis. Control group chose not to register for the competition, so increased likelihood of systematic differences between groups

Allocation concealment (selection bias)

High risk

See above

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

Not reported but unlikely to affect outcome

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Authors state pupils were not aware that survey was related to the competition

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

1284 intervention and 551 control participants at baseline; 976 intervention (76%) and 443 control (80%) participants completed all 3 surveys (analyzed sample). Reasons for attrition were not reported and no detail on comparison between those followed up and those lost to follow‐up

Selective reporting (reporting bias)

Unclear risk

Prespecified outcomes unclear

Wiborg 2002

Methods

Controlled cluster trial

Participants

Country: Germany (3 cities). Intervention: multiple secondary school classes from schools who registered for the SFC competition (all schools were invited) from Hamburg and Berlin. The intervention group consisted of classes that decided to participate in the competition. 
Control: The same proportion of classes from different grades and school types as in the intervention group was randomly selected from classes in Hanover that had not been invited to participate in the competition. Mean age 12.9 years, similar number boys and girls. SES and ethnicity not reported

Interventions

Intervention: SFC competition: classes agree and sign a contract to remain smoke‐free for 6 months to enter a lottery to win a number of prizes, the grand prize including a class trip. Requirements to participate: At least 90% of class must agree to participate, classes monitor smoking on a weekly basis, classes report whether > 90% non‐smokers to the organisers on a monthly basis. If the class is smoke‐free ( > 90% non‐smokers) they remain in the competition for prizes, with the main prize being a class trip; if not they drop out. The intervention group consisted of 2 subgroups: the classes who successfully completed the competition and the classes who dropped out of the competition (but continued in the study). Participating classes also received 2 newsletters with information about competition, teachers received a brochure

 

The control group (CG) classes did not receive a specific intervention

Outcomes

Baseline (October/November 1998)

1st follow‐up at 6 months post‐baseline (May 1999)

2nd follow‐up at 12 months post‐baseline (November 1999)

At both baseline and follow‐up participants completed a questionnaire asking about self‐reported ‘four week smoking prevalence’ (‘Have you smoked during the last four weeks?’) and ‘daily smoking prevalence’ (‘Have you smoked daily during the last seven days?’)

Notes

Theoretical basis: Reference to learning theory that asserts that positive reinforcement enhances the probability of producing a desired behaviour

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

High risk

Non‐randomized. Classes who volunteered to take part in the competition made up the intervention group versus classes from another town, that were not invited to take part in the competition (control group). No SES or ethnicity reported or compared. Smoking prevalence at baseline was higher in the control group than in the intervention group, although not statistically significantly so. No baseline differences in age or sex

Allocation concealment (selection bias)

High risk

See above

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

Not reported but unlikely to affect outcome

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Authors note that students' knowledge that they were in a competition should not have had an influence on their answers in the follow‐up, since the competition had been completed at that point

Incomplete outcome data (attrition bias)
All outcomes

High risk

High level of attrition: 4372 participants at baseline, 2142 (49%) completed all 3 surveys (1495 intervention and 647 control) 

At baseline, those lost to follow‐up were significantly more likely to be smokers or in the intervention group; percentage of smokers in retention group under‐represented. No significant interaction for smoking status and group condition among attrition and retention sample. No differences in age or sex

Selective reporting (reporting bias)

Unclear risk

Prespecified outcomes unclear

SES: socioeconomic status; SFC: Smokefree Class Competition

Characteristics of excluded studies [ordered by study ID]

Study

Reason for exclusion

Al‐sheyab 2016

Incentive(s) not used to reward participants for not starting to smoke

Bate 2009

Incentive(s) not used to reward participants for not starting to smoke

Baudier 1991

No incentive used as part of the intervention

Bruvold 1993

A review, not a controlled trial

Cote 2006

No incentive used as part of the intervention

De Vries 2006

Incentives/competitions not a central component of this smoke‐free programme

Elder 1987

A review, not a controlled trial

Elder 1989

Repeated cross‐sectional surveys of participants for not starting to smoke

Etter 2006

A review, not a controlled trial and response letters, does not present additional data

Hanewinkel 2003

Does not report original data on evaluation, but gives an overview on participation rates in SFC competition and summarizes all evaluation findings

Hanewinkel 2007a

Does not report original data on evaluation, but gives an overview on participation rates in SFC competition and summarizes all evaluation findings

Higgins 2002

A review, not a controlled trial

Hovell 2001

Incentive(s) not used to reward participants for not starting to smoke

Hruba 2007

Not a controlled trial

Isensee 2007

Not a controlled trial

ISRCTN39902015

Study discontinued

Jackson 2006

Incentive(s) not used to reward participants for not starting to smoke

Krishnan‐Sarin 2013

Follow‐up less than 6 months

Lee 1983

Not a controlled trial. No incentive used

Mercken 2012

Re‐analyses of previous studies.

Murray 1992

The only trial (out of 3 described in this record) that used incentives employed a repeated cross‐sectional design

Perry 2009

Incentive(s) not used to reward participants for not starting to smoke

Persson 2003

Not a controlled trial

Pomrehn 1995

Not a controlled trial

Price 1992

Incentive(s) not used to reward participants for not starting to smoke

Rand 1989

Not the relevant target population. Incentives used to reward persistent abstinence after quitting

Schmid 2006

Not a controlled trial

Sigmon 2008

Not a controlled trial

Trofor 2009

Not a controlled trial

Wiborg 1999

Not a controlled trial

Wiborg 2001

Introduces the concept behind the SFC competition and presents results of process evaluation

Wiborg 2004

Focused on smoking cessation, not smoking initiation

Data and analyses

Open in table viewer
Comparison 1. Incentive versus control. Randomized and non‐randomized controlled studies (adjusted for clustering)

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Smoking uptake at longest follow‐up (RR) Show forest plot

6

Risk Ratio (M‐H, Fixed, 95% CI)

Subtotals only

Analysis 1.1

Comparison 1 Incentive versus control. Randomized and non‐randomized controlled studies (adjusted for clustering), Outcome 1 Smoking uptake at longest follow‐up (RR).

Comparison 1 Incentive versus control. Randomized and non‐randomized controlled studies (adjusted for clustering), Outcome 1 Smoking uptake at longest follow‐up (RR).

1.1 RCTs

3

1108

Risk Ratio (M‐H, Fixed, 95% CI)

1.00 [0.84, 1.19]

1.2 Non‐randomized CTs

3

1377

Risk Ratio (M‐H, Fixed, 95% CI)

0.82 [0.63, 1.08]

Open in table viewer
Comparison 2. Results of included studies

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Results table: RCTs Show forest plot

Other data

No numeric data

Analysis 2.1

Study

Number of non‐smokers at baseline

Number of smokers at endpoint who reported not smoking at baseline

Time point

Outcome

Biological criterion

Results

Secondary outcomes (dose response, cost, harms)

Crone 2003

556 intervention; 420 control (data from authors)

112 intervention; 88 control

 

 

19 months

Smoking = current smoking, including daily/weekly/experimental

Not biochemically verified

Not reported at 19 months in published paper.

Our reanalysis: RR 0.92 (95% CI 0.53 to 1.61)

Not reported

Isensee 2012a

430 never‐ smokers in intervention; 610 never‐smokers in control (data from authors)

136 intervention; 184 control

19 months

Smoking = ever smoking, even just a puff

Not biochemically verified

From published paper: Authors reported that no group differences were found in the frequency of smoking initiation but data not presented in paper.

Our reanalysis:  RR 1.05 (95% CI 0.80 to 1.38)

Bullying (Hanewinkel 2010):  "When compared with control classrooms on all three dependent variables – being victimised, active bullying or being isolated – the adjusted ORs indicated no significant differences at post‐test for any of the IGs [Intervention Groups]".

Schulze 2006

591 never‐smokers in intervention; 449 never‐smokers in control

224 intervention; 173 control

24 months

Smoking = current smoking, including irregular (less than weekly) smoking

Not biochemically verified

From published paper: 62.1% remained ‘never smoker’ in intervention group at follow‐up versus 61.4% in control group: OR 1.02 (0.83 to 1.24) adjusted for age, sex and school type.

 

Our reanalysis:  RR 0.98 (95% CI 0.77 to 1.24)

Not reported



Comparison 2 Results of included studies, Outcome 1 Results table: RCTs.

2 Results table: non‐randomized CTs Show forest plot

Other data

No numeric data

Analysis 2.2

Study

Number of non‐smokers at baseline

Number of smokers at endpoint who reported not smoking at baseline

Time point

Outcome

Biological criterion

Results

Secondary outcomes (dose response, cost, harms)

Comment

Burke 1992

Not reported

Not reported

18 months

Mean (SD) score of 5‐category self‐definition of smoking and 10‐category self‐reported frequency

Salivary thiocyanate (TCN)

From published paper:  Mean TCN at follow‐up of pre‐intervention never‐smokers higher (560 mcg/mL, SD 403) versus control (514 mcg/mL, SD 424).

Primary outcome for this review not available.

Not reported

Kairouz 2009

664 intervention; 915 control

93 intervention; 165 control

10 ‐ 18 months

Smoking = ever smoking, even just a puff

Not biochemically verified

From published paper: OR 0.8 (0.5 to 1.1), adjusted for age, gender, school location, social deprivation index.

Our reanalysis: 

RR 0.81 (95% CI 0.55 to1.20)

Intervention participants more likely than control participants to report that people “should not hang out with smokers” (14% versus 11%) and that they, themselves would “not want to be friends with a classmate who smokes” (28% versus 25%)

Concerns about misreporting of smoking status.  Note large numbers of ever‐smokers at baseline then denying ever smoking at follow‐up.  Stat sig more in intervention vs control (24% vs 16%)

Stucki 2014

544 intervention, 378 control

39 intervention,

24 control

About 7 months

Smoking = any smoking in last 6 months, even just a puff and smoking during the previous month

Not biochemically verified

From published and additional data from authors. OR for decreased smoking prevalence 0.7, CI 0.5 to 1.0

Increased smoking‐related knowledge b ‐1.0, P < 0.01

Vartiainen 1996

Not reported and not available from authors

Not reported and not available from authors

18 months

Smoking = daily smoking

Not biochemically verified

Reports only on the increase in prevalence of smoking from baseline to follow‐up. From baseline to longest follow‐up, increase by 10.8% points in Intervention group vs 11.2% points in control group: OR 1.25 (P = 0.15).

Primary outcome for this review not available.

Not reported.  Except in discussion – authors report "The social pressure created by the competition process was not greatly criticised in the pupils’ answers."

Wiborg 2002

1215 intervention group; 502 control

(data from authors)

207 intervention; 107 control

12 months

Smoking = 4 week prevalence of smoking

Not biochemically verified

From published paper: OR 1.36 (1.04 to 1.76), adjusted for age, sex, smoking status at baseline

Our reanalysis: 

RR 0.81 (95% CI 0.53 to 1.23)

Cost benefit (Hoeflymayr 2008). Cost benefit ratio: economic modelling based on estimates of reduced smoking prevalence in Intervention group and models of assumed future smoking behaviour and cessation. Not based on prevention of initiation



Comparison 2 Results of included studies, Outcome 2 Results table: non‐randomized CTs.

PRISMA study flow diagram of search results
Figuras y tablas -
Figure 1

PRISMA study flow diagram of search results

Risk of bias graph: review authors' judgements about each risk of bias item presented as percentages across all included studies
Figuras y tablas -
Figure 2

Risk of bias graph: review authors' judgements about each risk of bias item presented as percentages across all included studies

Risk of bias summary: review authors' judgements about each risk of bias item for each included study
Figuras y tablas -
Figure 3

Risk of bias summary: review authors' judgements about each risk of bias item for each included study

Comparison 1 Incentive versus control. Randomized and non‐randomized controlled studies (adjusted for clustering), Outcome 1 Smoking uptake at longest follow‐up (RR).
Figuras y tablas -
Analysis 1.1

Comparison 1 Incentive versus control. Randomized and non‐randomized controlled studies (adjusted for clustering), Outcome 1 Smoking uptake at longest follow‐up (RR).

Study

Number of non‐smokers at baseline

Number of smokers at endpoint who reported not smoking at baseline

Time point

Outcome

Biological criterion

Results

Secondary outcomes (dose response, cost, harms)

Crone 2003

556 intervention; 420 control (data from authors)

112 intervention; 88 control

 

 

19 months

Smoking = current smoking, including daily/weekly/experimental

Not biochemically verified

Not reported at 19 months in published paper.

Our reanalysis: RR 0.92 (95% CI 0.53 to 1.61)

Not reported

Isensee 2012a

430 never‐ smokers in intervention; 610 never‐smokers in control (data from authors)

136 intervention; 184 control

19 months

Smoking = ever smoking, even just a puff

Not biochemically verified

From published paper: Authors reported that no group differences were found in the frequency of smoking initiation but data not presented in paper.

Our reanalysis:  RR 1.05 (95% CI 0.80 to 1.38)

Bullying (Hanewinkel 2010):  "When compared with control classrooms on all three dependent variables – being victimised, active bullying or being isolated – the adjusted ORs indicated no significant differences at post‐test for any of the IGs [Intervention Groups]".

Schulze 2006

591 never‐smokers in intervention; 449 never‐smokers in control

224 intervention; 173 control

24 months

Smoking = current smoking, including irregular (less than weekly) smoking

Not biochemically verified

From published paper: 62.1% remained ‘never smoker’ in intervention group at follow‐up versus 61.4% in control group: OR 1.02 (0.83 to 1.24) adjusted for age, sex and school type.

 

Our reanalysis:  RR 0.98 (95% CI 0.77 to 1.24)

Not reported

Figuras y tablas -
Analysis 2.1

Comparison 2 Results of included studies, Outcome 1 Results table: RCTs.

Study

Number of non‐smokers at baseline

Number of smokers at endpoint who reported not smoking at baseline

Time point

Outcome

Biological criterion

Results

Secondary outcomes (dose response, cost, harms)

Comment

Burke 1992

Not reported

Not reported

18 months

Mean (SD) score of 5‐category self‐definition of smoking and 10‐category self‐reported frequency

Salivary thiocyanate (TCN)

From published paper:  Mean TCN at follow‐up of pre‐intervention never‐smokers higher (560 mcg/mL, SD 403) versus control (514 mcg/mL, SD 424).

Primary outcome for this review not available.

Not reported

Kairouz 2009

664 intervention; 915 control

93 intervention; 165 control

10 ‐ 18 months

Smoking = ever smoking, even just a puff

Not biochemically verified

From published paper: OR 0.8 (0.5 to 1.1), adjusted for age, gender, school location, social deprivation index.

Our reanalysis: 

RR 0.81 (95% CI 0.55 to1.20)

Intervention participants more likely than control participants to report that people “should not hang out with smokers” (14% versus 11%) and that they, themselves would “not want to be friends with a classmate who smokes” (28% versus 25%)

Concerns about misreporting of smoking status.  Note large numbers of ever‐smokers at baseline then denying ever smoking at follow‐up.  Stat sig more in intervention vs control (24% vs 16%)

Stucki 2014

544 intervention, 378 control

39 intervention,

24 control

About 7 months

Smoking = any smoking in last 6 months, even just a puff and smoking during the previous month

Not biochemically verified

From published and additional data from authors. OR for decreased smoking prevalence 0.7, CI 0.5 to 1.0

Increased smoking‐related knowledge b ‐1.0, P < 0.01

Vartiainen 1996

Not reported and not available from authors

Not reported and not available from authors

18 months

Smoking = daily smoking

Not biochemically verified

Reports only on the increase in prevalence of smoking from baseline to follow‐up. From baseline to longest follow‐up, increase by 10.8% points in Intervention group vs 11.2% points in control group: OR 1.25 (P = 0.15).

Primary outcome for this review not available.

Not reported.  Except in discussion – authors report "The social pressure created by the competition process was not greatly criticised in the pupils’ answers."

Wiborg 2002

1215 intervention group; 502 control

(data from authors)

207 intervention; 107 control

12 months

Smoking = 4 week prevalence of smoking

Not biochemically verified

From published paper: OR 1.36 (1.04 to 1.76), adjusted for age, sex, smoking status at baseline

Our reanalysis: 

RR 0.81 (95% CI 0.53 to 1.23)

Cost benefit (Hoeflymayr 2008). Cost benefit ratio: economic modelling based on estimates of reduced smoking prevalence in Intervention group and models of assumed future smoking behaviour and cessation. Not based on prevention of initiation

Figuras y tablas -
Analysis 2.2

Comparison 2 Results of included studies, Outcome 2 Results table: non‐randomized CTs.

Smokefree Class Competitions (SFC) for preventing smoking uptake

Patient or population: Children and adolescents aged 5 ‐ 18 years who were non‐smokers at baseline

Settings: Schools in Germany, the Netherlands, Finland, Switzerland, Canada and the United States

Intervention: Participation in SFC

Comparison: No participation in SFC

Outcomes

Illustrative comparative risks* (95% CI)

Relative effect
(95% CI)

No of Participants

Actual number/

effective number2
(studies)

Quality of the evidence
(GRADE)

Assumed risk1

Corresponding risk

Smoking uptake at longest follow‐up (RCTS)

317 per 1000

320 per 1000

RR 1.00 (0.84 to 1.19)

3056/1108

(3)

Low3, 4

Smoking uptake at longest follow‐up

(Non‐RCTs)

158 per 1000

132 per 1000

RR 0.82 (0.63 to 1.08)

4219/1377

(3)

Very low3, 5, 6

*The basis for the assumed risk (e.g. the median control group risk across studies) is provided in footnotes. The corresponding risk (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).
CI: Confidence interval; RR: Risk Ratio; RCT: Randomised Controlled Trial

GRADE Working Group grades of evidence
High quality: Further research is very unlikely to change our confidence in the estimate of effect.
Moderate quality: Further research is likely to have an important impact on our confidence in the estimate of effect and may change the estimate.
Low quality: Further research is very likely to have an important impact on our confidence in the estimate of effect and is likely to change the estimate.
Very low quality: We are very uncertain about the estimate.

1'Assumed risk' calculated as risk in control groups.
2Adjusted for clustering.
3Downgraded one level due to imprecision. All studies included had a wide confidence interval.
4Downgraded one level due to risk of bias. 2/3 studies judged to be at high risk of attrition bias.
5Downgraded one level due to observational (non‐RCT) study type.
6Downgraded one level due to risk of bias. 2/3 studies judged to be at high risk of selection bias, most other bias risks unclear.

Figuras y tablas -
Comparison 1. Incentive versus control. Randomized and non‐randomized controlled studies (adjusted for clustering)

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Smoking uptake at longest follow‐up (RR) Show forest plot

6

Risk Ratio (M‐H, Fixed, 95% CI)

Subtotals only

1.1 RCTs

3

1108

Risk Ratio (M‐H, Fixed, 95% CI)

1.00 [0.84, 1.19]

1.2 Non‐randomized CTs

3

1377

Risk Ratio (M‐H, Fixed, 95% CI)

0.82 [0.63, 1.08]

Figuras y tablas -
Comparison 1. Incentive versus control. Randomized and non‐randomized controlled studies (adjusted for clustering)
Comparison 2. Results of included studies

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Results table: RCTs Show forest plot

Other data

No numeric data

2 Results table: non‐randomized CTs Show forest plot

Other data

No numeric data

Figuras y tablas -
Comparison 2. Results of included studies