Pulvers 2020.
Study characteristics | ||
Methods | Design: RCT. Unblinded. 2:1 ratio Recruitment: Participants were recruited from the San Diego, California, and Kansas City, Missouri and Kansas, metropolitan areas Setting: USA Study start date: May 2018. Study end date: May 2019 |
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Participants | Total N = 186; Electronic‐cigarettes = 125. Own brand cigarette = 61 40.3% female; mean age 43.3 (SD 12.5); mean cpd 12.1 (SD 7.2). E‐cigarettes use at baseline: 0.05 (0.3%) Inclusion criteria:
Exclusion criteria:
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Interventions |
EC: pod Electronic‐cigarettes: JUUL (5% nicotine); Choice of flavors (Menthol, Mango, Cool Mint, Virginia Tobacco); Given 1 pod per pack of cigarettes; Given a 2‐week supply at baseline and then a further 4‐week supply at week‐2 visit. At each follow‐up appointment (week 1, telephone call; week 2, in‐person visit; and week 4, telephone call), barriers and benefits of switching to e‐cigarette were discussed and action planning for exclusive switching was revisited. Compensated on a schedule of USD 20 at baseline, USD 40 at week 2 and USD 60 at week 6 Own brand cigarettes: Compensated on a schedule of USD 20 at baseline, USD 40 at week 2 and USD 60 at week 6 |
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Outcomes | Baseline, week 2 and week 6. Telephone survey at 6 months Change in past 7‐day combustible cigarette use measured by 7‐day timeline follow‐back interview 30‐day point prevalence at 6 months (EC group only)
Lung function; Pulmonary function test of small airway disease that is most sensitive to effects of cigarette smoking; mean midexpiratory phase of forced expiratory (FEF25%‐75%); respiratory symptoms as measured with the American Thoracic Society Questionnaire (scores range from 0 ‐ 32, with higher scores indicating greater respiratory symptoms) Blood pressure Adverse events: respiratory symptoms |
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Study funding | Drs Pulvers and Nollen and Ms Rice were supported by grant No. 5SC3GM122628 from the National Institutes of Health (NIH). Drs Schmid and Ahluwalia were supported in part by grant No. P20GM130414, from the NIH‐funded Center of Biomedical Research Excellence (COBRE). Dr Schmid was partially supported by Institutional Development Award No. U54GM115677 from the National Institute of General Medical Sciences of the NIH, which funds Advance Clinical and Translational Research (Advance‐CTR) | |
Author declarations | Dr Schmid reported serving as a consultant for legal firms representing Eli Lilly, Boehringer‐Ingelheim, and Gilead outside the submitted work. Dr Benowitz reported receiving personal fees from Pfizer and Achieve Life Sciences and serving as a consultant to pharmaceutical companies that market smoking cessation medications and as an expert witness in litigation against tobacco companies outside the submitted work. Dr Ahluwalia reported receiving personal fees from Lucy Goods outside the submitted work. No other disclosures were reported. | |
Notes | New for 2021 update. Additional data provided by authors | |
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Low risk | Randomization sequence was generated with an Excel (Microsoft) random number formula applied to each site (2:1 ratio) |
Allocation concealment (selection bias) | Low risk | Allocation was placed into sealed individual envelopes labeled with participant identification numbers for each site, retrieved from a locked cabinet monitored by the project manager, and opened individually following consent of each participant |
Blinding of participants and personnel (performance bias) All outcomes | High risk | Could not be blinded |
Blinding of outcome assessment (detection bias) All outcomes | Low risk | Carbon monoxide validation |
Incomplete outcome data (attrition bias) All outcomes | Low risk | E‐cig: 115/126 OB: 54/61 |
Selective reporting (reporting bias) | Low risk | Per protocol reporting |