Reid 2018.
Methods | Setting: Canada; hospital‐based Recruitment: Smokers admitted to the hospital were automatically referred to an in‐house smoking cessation programme | |
Participants | 410 hospital‐admitted CHD smokers, 74.4% M, av. age 54.2, 16% < 11 cigs/day, 33% 11 ‐ 20 cigs/day, 40% 21 ‐ 30 cigs/day, 11% > 30 cigs/day Not selected for motivation | |
Interventions | 1. Standard care including in‐hospital counselling by nurse, written information about smoking cessation and NRT 2. As in 1, plus 8 automated follow‐up calls after 3, 14, 30, 60, 90, 120, 150, 180 days post‐hospitalisation. If smokers had low motivation, had a relapse or desired a call back, a nurse counsellor provided additional assistance | |
Outcomes | Abstinence at 52 weeks (continuous abstinence) Validation: CO ≤ 4 ppm done in a random subsample with high verification rates after 52 weeks of follow‐up (˜90%) | |
Notes | New for 2018 update Funding: "Heart and Stroke Foundation of Ontario Grant # NA5845" Declarations of interest: "RDR and ALP have received speaking and/or consulting fees and research grants from Pfizer and Johnson & Johnson. KAM has received speaking fees from Pfizer. AGL is supported by a Canadian Institutes of Health Research–Ottawa Model for Smoking Cessation Health Impact Fellowship" |
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Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Low risk | Quote: "computer generated sequence" |
Allocation concealment (selection bias) | Unclear risk | Not described |
Blinding of outcome assessment (detection bias) All outcomes | Low risk | Validation of self‐reports in a random subsample achieving high rates of verified abstinence |
Incomplete outcome data (attrition bias) All outcomes | Low risk | Similar percentage of participants lost to follow‐up across arms (˜30%) |