Exploring Efficacy of a Serious Game (TOBBSTOP) for Smoking Cessation in Pregnant Women: Pilot Case-Control Study
Notice bibliographique
Résumé
Background: Tobacco use entails, during pregnancy, a serious risk to the mother and harmful effects on the development of the child. Europa has the highest tobacco smoking prevalence (19.3%) as compared to a worldwide mean of 6.8%. Twenty to thirty percent of pregnant women used tobacco during pregnancy worldwide. These data emphasize the urgent need for community education and implementation of prevention strategies focused on risks associated to tobacco use during pregnancy. Objective: This study aims to investigate the possibility to address this problem through a serious game (TOBBSTOP), something that has proven efficient as a tool for learning in many situations. By using a game for smoke cessation during pregnancy, we aim to maintain cessation and interest pregnant smokers in learning about health care and effects of tobacco by playing a game that helps them to achieve their challenge. Methods: A pilot case-control study enrolls 44 women who were visited in two primary care centers in Spain between March 2015 and November 2016. All participants were pregnant smokers over the age of 17 years attending consultation to a midwife during the first trimester of pregnancy who expressed their desire to stop smoking. We recruited the intervention group (n=22) among the attended on the centers and instructed them to install the game on their smartphone or tablet and use it for 3 months. Until the delivery, all participants had to respond to a questionnaire, assessing their stage on smoke cessation during their follow-up midwife consultations. The selected control group participants (n=22), matched for age, level of tobacco-dependence and number of smoking attempts. We tested the amount of CO at each visit with a carboxymeter during the entire intervention period to assess the abstinence. Results: Pregnant women from the intervention group, with 80.0% (12/15), had significant higher rates of cessation until delivery than control group (χ2=8.4; P=.004). Logistic regression analyses revealed that game’s use was associated with an increased likelihood to maintain smoking cessation during the intervention period compared with those not using the game (odds ratio 4.0; 95% CI 1.3-12.2). Additionally, a Mantel-Cox means’ analysis revealed that the use of the game was associated with an increased number of days without smoking, with an average of 139.7 days (95% CI 97.1-182.4) in the intervention group (χ2=13.912; P<.001). Conclusions: Pregnancy is an ideal opportunity to intervene and control tobacco use among future mothers. On the other hand, serious games is an emerging technology, growing in importance, which is shown as a good tool to assist in maintaining women without smoking and help behavior change during pregnancy. However, due to study design limitations, these outcomes should be interpreted with caution. More research, using larger samples and longer follow-up periods, is needed to replicate the findings of this study.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,004 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».