Evidence map›Paper›PMID 35491743›Full record

ArticleAddiction (Abingdon, England)2022

Prevalence of use and real-world effectiveness of smoking cessation aids during the COVID-19 pandemic: a representative study of smokers in England.

Sarah E Jackson, Sharon Cox, Lion Shahab, Jamie Brown

Open access · hybridAbstract read
In one paragraph

Article in Addiction (Abingdon, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 2 countries.

Sarah E JacksonDepartment of Behavioural Science and Health, University College London, London, UK.ORCID 0000-0001-5658-6168
Sharon CoxDepartment of Behavioural Science and Health, University College London, London, UK.ORCID 0000-0001-8494-5105
Lion ShahabDepartment of Behavioural Science and Health, University College London, London, UK.ORCID 0000-0003-4033-442X
Jamie BrownDepartment of Behavioural Science and Health, University College London, London, UK.ORCID 0000-0002-2797-5428
Spectrum Brands (United Kingdom) · GB

Funding

Cancer Research UK A22962Cancer Research UK C1417/A22962Medical Research Council MR/S037519/1
6 · The paper itself

Abstract

aimTo measure whether the prevalence of use and real-world effectiveness of different smoking cessation aids has changed in England since the coronavirus disease 2019 (COVID-19) pandemic.

designRepresentative monthly cross-sectional surveys, January 2015-June 2021.

settingEngland.

participantsA total of 7300 adults (≥18 y) who had smoked within the previous 12 months and had made ≥1 quit attempt during that period. MEASUREMENTS: The independent variable was the timing of the COVID-19 pandemic (pre-pandemic [January 2015-February 2020] vs pandemic [April 2020-June 2021]). We analysed (i) the association between the pandemic period and self-reported use (vs non-use) during the most recent quit attempt of: prescription medication (nicotine replacement therapy [NRT]/varenicline/bupropion), NRT bought over-the-counter, e-cigarettes, traditional behavioural support and traditional remote support (telephone support/written self-help materials/websites) and (ii) the interaction between the pandemic period and use of these cessation aids on self-reported abstinence from quit date to survey. Covariates included age, sex, social grade, level of cigarette addiction and characteristics related to the quit attempt.

findingsAfter adjustment for secular trends, there was a significant increase from the pre-pandemic to pandemic period in the prevalence of use of traditional remote support by past-year smokers in a quit attempt (OR = 2.18; 95% CI, 1.42-3.33); specifically telephone support (OR = 7.16; 95% CI, 2.19-23.45) and websites (OR = 2.39; 95% CI, 1.41-4.08). There was also an increase in the prevalence of use of prescription medication (OR = 1.47; 95% CI, 1.08-2.00); specifically varenicline (OR = 1.66; 95% CI, 1.09-2.52). There were no significant changes in prevalence of use of other cessation aids after adjustment for secular trends. People who reported using prescription medication (OR = 1.41; 95% CI, 1.09-1.84) and e-cigarettes (OR = 1.87; 95% CI, 1.62-2.16) had greater odds of reporting abstinence than people who did not. There were no significant interactions between the pandemic period and use of any cessation aid on abstinence, after adjustment for covariates and use of the other aids, although data were insensitive to distinguish no change from meaningful modest (OR = 1.34) effects (Bayes factors 0.72-1.98).

conclusionsIn England, the COVID-19 pandemic was associated with an increase in use of remote support for smoking cessation and varenicline by smokers in a quit attempt up to June 2021. The data were inconclusive regarding an association between the pandemic and changes in the real-world effectiveness of popular smoking cessation aids.

Indexed as

COVID-19Electronic Nicotine Delivery SystemsSmoking CessationAdultBayes TheoremCross-Sectional StudiesEnglandHumansPandemicsPrevalenceSmokersSmokingTobacco Use Cessation DevicesVareniclineVareniclinebehavioural supportCOVID-19e-cigaretteseffectivenessnicotine replacement therapyquit attemptssmoking cessationvarenicline

Identifiers

PMID35491743
PMCPMC9347508
OpenAlexW4225265521

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.