skip to main content
Language:
Search Limited to: Search Limited to: Resource type Show Results with: Show Results with: Search type Index

Which eHealth interventions are most effective for smoking cessation? A systematic review

Patient preference and adherence, 2018-01, Vol.12, p.2065-2084 [Peer Reviewed Journal]

COPYRIGHT 2018 Dove Medical Press Limited ;COPYRIGHT 2020 Dove Medical Press Limited ;COPYRIGHT 2018 Dove Medical Press Limited ;COPYRIGHT 2020 Dove Medical Press Limited ;2018 Do et al. This work is published and licensed by Dove Medical Press Limited 2018 ;ISSN: 1177-889X ;EISSN: 1177-889X ;DOI: 10.2147/PPA.S169397 ;PMID: 30349201

Full text available

Citations Cited by
  • Title:
    Which eHealth interventions are most effective for smoking cessation? A systematic review
  • Author: Do, Huyen Phuc ; Tran, Bach Xuan ; Le Pham, Quyen ; Nguyen, Long Hoang ; Tran, Tung Thanh ; Latkin, Carl A ; Dunne, Michael P ; Baker, Philip Ra
  • Subjects: Analysis ; computer ; effectiveness ; eHealth ; Medicin och hälsovetenskap ; mHealth ; Review ; Smoking cessation ; smoking cessation intervention ; Smoking cessation products ; Smoking cessation programs ; Technology ; Web sites (World Wide Web) ; website
  • Is Part Of: Patient preference and adherence, 2018-01, Vol.12, p.2065-2084
  • Description: To synthesize evidence of the effects and potential effect modifiers of different electronic health (eHealth) interventions to help people quit smoking. Four databases (MEDLINE, PsycINFO, Embase, and The Cochrane Library) were searched in March 2017 using terms that included "smoking cessation", "eHealth/mHealth" and "electronic technology" to find relevant studies. Meta-analysis and meta-regression analyses were performed using Mantel-Haenszel test for fixed-effect risk ratio (RR) and restricted maximum-likelihood technique, respectively. Protocol Registration Number: CRD42017072560. The review included 108 studies and 110,372 participants. Compared to nonactive control groups (eg, usual care), smoking cessation interventions using web-based and mobile health (mHealth) platform resulted in significantly greater smoking abstinence, RR 2.03 (95% CI 1.7-2.03), and RR 1.71 (95% CI 1.35-2.16), respectively. Similarly, smoking cessation trials using tailored text messages (RR 1.80, 95% CI 1.54-2.10) and web-based information and conjunctive nicotine replacement therapy (RR 1.29, 95% CI 1.17-1.43) may also increase cessation. In contrast, little or no benefit for smoking abstinence was found for computer-assisted interventions (RR 1.31, 95% CI 1.11-1.53). The magnitude of effect sizes from mHealth smoking cessation interventions was likely to be greater if the trial was conducted in the USA or Europe and when the intervention included individually tailored text messages. In contrast, high frequency of texts (daily) was less effective than weekly texts. There was consistent evidence that web-based and mHealth smoking cessation interventions may increase abstinence moderately. Methodologic quality of trials and the intervention characteristics (tailored vs untailored) are critical effect modifiers among eHealth smoking cessation interventions, especially for web-based and text messaging trials. Future smoking cessation intervention should take advantages of web-based and mHealth engagement to improve prolonged abstinence.
  • Publisher: New Zealand: Dove Medical Press Limited
  • Language: English
  • Identifier: ISSN: 1177-889X
    EISSN: 1177-889X
    DOI: 10.2147/PPA.S169397
    PMID: 30349201
  • Source: GFMER Free Medical Journals
    PubMed Central
    SWEPUB Freely available online
    ROAD: Directory of Open Access Scholarly Resources
    DOAJ Directory of Open Access Journals
    Dove Press Free
Back to results list
INSPIRE LIBRARY - TON DUC THANG UNIVERSITY (84-028) 37 755 057 Feedback
19 Nguyen Huu Tho St. Dist.7, HCM thuvien@tdtu.edu.vn

Copyright © 2017 INSPIRE LIBRARY - TON DUC THANG UNIVERSITY

Searching Remote Databases, Please Wait