4.5 Article

The effect of reducing the threshold for carbon monoxide validation of smoking abstinence - Evidence from the English Stop Smoking Services

期刊

ADDICTIVE BEHAVIORS
卷 38, 期 10, 页码 2529-2531

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.addbeh.2013.04.006

关键词

Smoking cessation; Outcome criteria; Carbon monoxide; Success rates

资金

  1. National Centre for Smoking Cessation and Training (NCSCT)
  2. Society for the Study of Addiction
  3. Cancer Research UK
  4. Cancer Research UK [14135] Funding Source: researchfish
  5. Economic and Social Research Council [ES/G007489/1] Funding Source: researchfish
  6. Medical Research Council [MR/K023195/1B, MR/K023195/1] Funding Source: researchfish

向作者/读者索取更多资源

Introduction: The most commonly used threshold of expired-air carbon monoxide (CO) concentration to validate self-reported smoking abstinence is <10 parts per million (ppm). It has been proposed to reduce this threshold. This study examined what effect a reduction would have on short-term success rates in clinical practice. Methods: A total of 315,718 quit attempts supported by English NHS Stop Smoking Services were included in the analysis. The proportion of 4-week quits as determined by the Russell standard (<10 ppm) that also met lower thresholds was calculated for each unit change from <9 ppm to <2 ppm. Additionally, associations of established predictors with outcome were assessed in logistic regressions for selected thresholds. Results: At <10 ppm, 35% of quit attempts were regarded as successful. Differences for a single unit reduction increased with each reduction; small reductions had very little impact (e.g. <8 ppm: 34.7% success), but at <3 ppm, only 26.3% would still be regarded as successful. With the threshold reduced to <3 ppm established predictors of cessation showed a weaker association with outcome than with the threshold at <10 ppm suggesting an increase in error of outcome measurement. Conclusions: Reducing the threshold for expired-air CO concentration to validate abstinence would have a minimal effect on success rates unless the threshold were reduced substantially which would likely increase error of measurement. (C) 2013 Elsevier Ltd. All rights reserved.

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