Literature DB >> 14577988

Electronic monitoring of long-term use of the nicotine nasal spray and predictors of success in a smoking cessation program.

Marie-Paule Schneider1, Guy van Melle, Christophe Uldry, Marc Huynh-Ba, Claire-Lise Fallab Stubi, Danila Iorillo, Michel Burnier, Jean-Pierre Zellweger.   

Abstract

This study evaluated the efficacy of prolonged administration (18 months) of a nicotine nasal spray in smoking cessation and attempted to characterize the pattern of use of the nasal spray with a specially developed electronic monitor in an effort to assess the factors associated with cessation success or failure. Study participants were 92 patients in a smoking cessation unit of a medical outpatient clinic in Switzerland. Participants were daily smokers who had smoked for more than 5 years and were highly motivated to quit. The main outcome measure was the number of abstainers at 12 and 24 months. Their use of the spray was monitored using a microchip (MDILog) that recorded the date and time of every actuation. Success rates were 17.4% at 12 months and 9.8% at 24 months. During the first month of study, median use was 12 puffs/day in abstainers and 6 puffs/day in failures (p=.049). Abstainers used the spray less in the morning compared with failures (26.6% vs. 32.8% of the total median daily dose; p=.028). By contrast, abstainers used the spray more in the evening/night compared with failures (35.3% vs. 26.7% of the total median daily dose; p=.007). Abstinence during the first two weeks was associated significantly with cessation success at 6 months (OR=17.10) and 24 months (OR=11.09). Although the pattern of use of the nasal spray differed between successful quitters and failures (used in higher doses by the successful quitters), mean daily consumption during the first month was not predictive of success. Mean daily consumption of the nicotine nasal spray remained lower than expected in most participants, particularly in failures.

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Year:  2003        PMID: 14577988     DOI: 10.1080/14622200310001608545

Source DB:  PubMed          Journal:  Nicotine Tob Res        ISSN: 1462-2203            Impact factor:   4.244


  6 in total

1.  Electronically Monitored Nicotine Gum Use Before and After Smoking Lapses: Relationship With Lapse and Relapse.

Authors:  Tanya R Schlam; Timothy B Baker; Stevens S Smith; Daniel M Bolt; Danielle E McCarthy; Jessica W Cook; Todd Hayes-Birchler; Michael C Fiore; Megan E Piper
Journal:  Nicotine Tob Res       Date:  2020-10-29       Impact factor: 4.244

2.  Open-Label Study of Craving in Smokers With Schizophrenia Using Nicotine Nasal Spray Compared to Nicotine Patch.

Authors:  Jill M Williams; Kunal K Gandhi; Maria Katsamanis Karavidas; Marc L Steinberg; Shou-En Lu; Jonathan Foulds
Journal:  J Dual Diagn       Date:  2008-10-01

3.  Technological Interventions for Medication Adherence in Adult Mental Health and Substance Use Disorders: A Systematic Review.

Authors:  Jackson M Steinkamp; Nathaniel Goldblatt; Jacob T Borodovsky; Amy LaVertu; Ian M Kronish; Lisa A Marsch; Zev Schuman-Olivier
Journal:  JMIR Ment Health       Date:  2019-03-12

Review 4.  Evaluating level of adherence to nicotine replacement therapy and its impact on smoking cessation: a systematic review and meta-analysis.

Authors:  Amanual Getnet Mersha; Parivash Eftekhari; Michelle Bovill; Daniel Nigusse Tollosa; Gillian Sandra Gould
Journal:  Arch Public Health       Date:  2021-03-04

5.  Use of nicotine substitute prescribed at hourly plus ab libitum intake or ad libitum for heavy smokers willing to quit: a randomized controlled trial.

Authors:  Laurent Rey; Paul Vaucher; Françoise Secretan; Jean-Pierre Zellweger; Patrick Bodenmann
Journal:  Subst Abuse Treat Prev Policy       Date:  2009-06-02

6.  Evaluating level of adherence to nicotine replacement therapy and its impact on smoking cessation: a protocol for systematic review and meta-analysis.

Authors:  Amanual Getnet Mersha; Parivash Eftekhari; Michelle Bovill; Daniel Nigusse Tollosa; Gillian Sandra Gould
Journal:  BMJ Open       Date:  2020-09-21       Impact factor: 2.692

  6 in total

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