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. 2017 Feb 14;2017(2):CD001055. doi: 10.1002/14651858.CD001055.pub5

Strecher 2000.

Methods Randomised controlled trial of computer‐generated messages to support women to stop smoking in pregnancy.
Study conducted in 2 university hospitals in North Carolina and Michigan (USA), with recruitment from December 1996 to December 1997.
Participants Inclusion criteria: Women who have "smoked 100 cigarettes in their lifetime and still smoking" or "had quit since becoming pregnant".
Exclusion criteria: Not further specified.
Recruitment: Unclear how many women screened during first prenatal visit. using a self‐administered computer screening program. 173 women randomised (C = 85, I = 88).
Baseline characteristics: Mean cigarettes per day before pregnancy: C = 18.7, I = 20.3; current mean cigarettes per day: C = 11.8, I = 12.9; Mean cotinine: C = 2597, I = 2701; Mean smokers in household: C = 1.1, I = 1.0.
Mean age: C = 26.6, I = 25.5; Mean education: C = 12.5, I = 12.5; White: C = 81.2%, I = 87.4%.
Progress + coding: None.
Interventions Control: Received "a pregnant woman's guide to quit smoking" at the first visit.
Intervention: Entered personal data into a hand‐held computer at AN visits, which subsequently generated personalised tailored messages, which were posted to the woman.
Main intervention strategy: Health education (single intervention) compared to less intensive intervention.
Intensity: Frequency (C = I, I = 6), Duration (C = 1, I = 2).
Unclear if intervention provided by dedicated project or existing staff as technological intervention.
Outcomes Biochemically validated smoking cessation at 6 weeks postpartum* (0‐5 months pp).
Biochemically validated cessation at 24/40 gestation ('mid‐term') and self‐reported cessation 3 months postpartum but outcomes not reported.
Mean cigarettes per day and cotinine concentrations collected and reported as 'not significant' but actual figures not reported.
Participant evaluation of using hand‐held computers and reactions to computerised materials.
Notes Numbers in paper inconsistent: I = 88, C = 85 in methods section, I = 104, C = 87 in results section. No justification for change of denominators.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk By computer algorithm.
Allocation concealment (selection bias) Unclear risk Not described.
Incomplete outcome data (attrition bias) 
 All outcomes High risk Outcome data (C = 87, I = 104) are inconsistent with figures reported as randomised in methods and baseline data table (C = 85, I = 88). If comparing outcome data using ITT and excluding those 'lost to follow‐up' it appears that more than 30% of the control group (30/87) were lost to follow‐up. In this review we have used the ITT data (C = 87, I = 104) as the denominator.
Selective reporting (reporting bias) High risk Results are conflicting and actual figures for pregnancy (24/40) are not reported, nor are figures for mean cigarettes per day or cotinine concentrations.
Other bias Low risk No other bias detected.
Biochemical validation of smoking abstinence (detection bias) Low risk Urinary cotinine analysis at 24 weeks' gestation and at 6 weeks postpartum (cut‐off < 80 ng/mL).
Blinding of participants and personnel (performance bias) 
 All outcomes High risk Participants and personnel not blinded to intervention.
Blinding of outcome assessment (detection bias) 
 All outcomes Unclear risk Not reported.
Incomplete implementation Unclear risk Process evaluation not reported.
Equal baseline characteristics in study arms Low risk Baseline comparisons revealed no significant differences in age, race, education, number of cigarettes smoked before pregnancy, and baseline stage of change.
Contamination of control group Low risk Technological intervention so contamination unlikely.