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Are digital interventions for smoking cessation in pregnancy effective? A systematic review and meta-analysis.
Griffiths, Sarah Ellen; Parsons, Joanne; Naughton, Felix; Fulton, Emily Anne; Tombor, Ildiko; Brown, Katherine E.
Afiliación
  • Griffiths SE; a Centre for Advances in Behavioural Science, Faculty of Health and Life Sciences , Coventry University , Coventry , UK.
  • Parsons J; a Centre for Advances in Behavioural Science, Faculty of Health and Life Sciences , Coventry University , Coventry , UK.
  • Naughton F; b School of Health Sciences , University of East Anglia , Norwich , UK.
  • Fulton EA; a Centre for Advances in Behavioural Science, Faculty of Health and Life Sciences , Coventry University , Coventry , UK.
  • Tombor I; c Public Health Warwickshire , Warwickshire County Council , Warwick , UK.
  • Brown KE; d Department of Behavioural Science and Health , University College London , London , UK.
Health Psychol Rev ; 12(4): 333-356, 2018 12.
Article en En | MEDLINE | ID: mdl-29912621
ABSTRACT
Smoking in pregnancy remains a global public health issue due to foetal health risks and potential maternal complications. The aims of this systematic review and meta-analysis were to explore (1) whether digital interventions for pregnancy smoking cessation are effective, (2) the impact of intervention platform on smoking cessation, (3) the associations between specific Behaviour Change Techniques (BCTs) delivered within interventions and smoking cessation and (4) the association between the total number of BCTs delivered and smoking cessation. Systematic searches of 9 databases resulted in the inclusion of 12 published articles (n = 2970). The primary meta-analysis produced a sample-weighted odds ratio (OR) of 1.44 (95% CI 1.04-2.00, p = .03) in favour of digital interventions compared with comparison groups. Computer-based (OR = 3.06, 95% CI 1.28-7.33) and text-message interventions (OR = 1.59, 95% CI 1.07-2.38) were the most effective digital platform. Moderator analyses revealed seven BCTs associated with smoking cessation information about antecedents; action planning; problem solving; goal setting (behaviour); review behaviour goals; social support (unspecified); and pros and cons. A meta-regression suggested that interventions using larger numbers of BCTs produced the greatest effects. This paper highlights the potential for digital interventions to improve rates of smoking cessation in pregnancy.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Complicaciones del Embarazo / Atención Prenatal / Cese del Hábito de Fumar Tipo de estudio: Clinical_trials / Systematic_reviews Límite: Adult / Female / Humans / Pregnancy Idioma: En Revista: Health Psychol Rev Año: 2018 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Complicaciones del Embarazo / Atención Prenatal / Cese del Hábito de Fumar Tipo de estudio: Clinical_trials / Systematic_reviews Límite: Adult / Female / Humans / Pregnancy Idioma: En Revista: Health Psychol Rev Año: 2018 Tipo del documento: Article País de afiliación: Reino Unido