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International Journal of Mental Health and Addiction

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23.05.2022 | Original Article

Adherence to Computational Technologies for the Treatment of Smoking Cessation: Systematic Review and Meta‐analysis

verfasst von: Roberta da Silva Teixeira, Isabela Fonseca Nazareth, Luiza Campos de Paula, Graciela Paula do Nascimento Duque, Fernando Antônio Basile Colugnati

Erschienen in: International Journal of Mental Health and Addiction | Ausgabe 6/2023

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Abstract

Adherence to interventions, a decisive factor for the effectiveness of treatments for smoking cessation, is still a challenge. The objective of this study was to evaluate adherence to computational technologies for the treatment of smoking compared with adherence to drug therapy, behavioral therapy, or computational technology different from that of the intervention group. This is a systematic review of clinical trials and meta-analyses in which MEDLINE, Cochrane Library, Scopus, Web of Science, and Lilacs were consulted, with the last search conducted on September 5, 2020. Two reviewers performed study selection, quality assessment, and data extraction with disagreements resolved by a third reviewer. The review included 13 studies, most with a follow-up of fewer than 5 months and published between 2014 and 2018. Compared with that in the control group, the adherence to computational technology in the intervention group was higher (RR = 1.19; 95% CI = 1.03–1.37). The combination of technology and nicotine replacement resulted in greater adherence (RR = 1.18; 95%CI = 1.11–1.25) than did noncombination (RR = 0.90; 95%CI = 0.90–1.03). Smokers adhered to computational technologies for the treatment of smoking.

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Yardley, L., Spring, B. J., Riper, H., Morrison, L. G., Crane, D. H., Curtis, K., Merchant, G. C., Naughton, F., & Blandford, A. (2016b). Understanding and promoting effective engagement with digital behavior change interventions. American Journal of Preventive Medicine, 51(5), 833–842. https://doi.org/10.1016/j.amepre.2016.06.015CrossRefPubMed

Titel: Adherence to Computational Technologies for the Treatment of Smoking Cessation: Systematic Review and Meta‐analysis
verfasst von: Roberta da Silva Teixeira
Isabela Fonseca Nazareth
Luiza Campos de Paula
Graciela Paula do Nascimento Duque
Fernando Antônio Basile Colugnati
Publikationsdatum: 23.05.2022
Verlag: Springer US
Erschienen in: International Journal of Mental Health and Addiction / Ausgabe 6/2023
Print ISSN: 1557-1874
Elektronische ISSN: 1557-1882
DOI: https://doi.org/10.1007/s11469-022-00839-5

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