Trial reportBMJ open2016
Protocol for study of financial incentives for smoking cessation in pregnancy (FISCP): randomised, multicentre study.
Trial report in BMJ open, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02606227 (Financial Incentive for Smoking Cessation in Pregnancy), which is not on this map. Cited by 4 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Financial Incentive for Smoking Cessation in Pregnancy
Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Incentives for smoking cessation.The Cochrane database of systematic reviews · 2019Pooled it
- Financial incentives for smoking cessation in pregnancy: multicentre randomised controlled trial.BMJ (Clinical research ed.) · 2021Trial
- Leveraging implementation science to reduce inequities in Children's mental health care: highlights from a multidisciplinary international colloquium.BMC proceedings · 2020Article
- Public acceptability of financial incentives to reward pregnant smokers who quit smoking: a United Kingdom-France comparison.The European journal of health economics : HEPAC : health economics in prevention and care · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionMaternal smoking during pregnancy is associated with adverse perinatal and postnatal health outcomes. The efficacy of nicotine replacement therapies in helping pregnant smokers to quit is not clearly demonstrated; therefore new interventions should be proposed and assessed. Financial incentives rewarding abstinence from tobacco smoking is one of the promising options.
objectiveTo assess the efficacy of financial incentives on smoking abstinence among French pregnant smokers. METHODS AND ANALYSIS:
participantspregnant smokers aged ≥18 years, smoking at least five manufactured or three roll-your-own cigarettes per day, and pregnant for <18 weeks of amenorrhoea (WA).
settingparticipants will be recruited, included and followed-up at monthly face-to-face visits in 16 maternity wards in France.
interventionsparticipants will be randomised to a control or an intervention group. After a predefined quit date, participants in the control group will receive €20 vouchers at the completion of each visit but no financial incentive for smoking abstinence. Participants in the intervention group will be rewarded for their abstinence by vouchers on top of the €20 show-up fee. The amount of reward for abstinence will increase as a function of duration of abstinence to stimulate longer periods of abstinence.
main outcome measurecomplete abstinence from quit date to the last predelivery visit. SECONDARY OUTCOME MEASURES: point prevalence abstinence, time to relapse to smoking, birth weight, fetal growth restriction, preterm birth. Main data analysis: outcomes will be analysed on an intention-to-treat (ITT) basis. The ITT population is defined as all randomised smoking pregnant women. ETHICS AND DISSEMINATION: The research protocol was approved by the ethics committee (Comité de Protection des Personnes, CPP) of the Pitié-Salpêtrière Hospital on 15 May 2015, and Amendment No 1 was approved on 13 July 2015. Results will be presented at scientific meetings and published. TRIAL REGISTRATION NUMBER: NCT02606227; Pre-results.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.