"New Choices" for women with addictions: perceptions of program participants
Notice bibliographique
Résumé
BACKGROUND: Substance use in pregnancy is a major public health problem. It can have profound effects on pregnancy outcomes, and childhood health and development. Additionally, women who use substances have their own health-related issues. Although intervention is important, these women often have difficulty using traditional systems of care. The New Choices program is a centralized, multi-sector approach to service delivery that has attempted to overcome barriers to care by offering one-stop shopping in a supportive environment. As part of an evaluation of this program designed for women who are pregnant and/or parenting young children, interviews were conducted with participants to gain insight into their experiences in New Choices and perceptions of any changes attributed to program involvement. METHODS: A qualitative, exploratory design was used to guide data collection and analysis. Four women participated in a focus group interview and seven women agreed to individual interviews over the course of the program evaluation (N = 11). A semi-structured interview guide was used to explore women's experiences in New Choices and their perceptions of the program and its impact. The interview data were analyzed using NVivo software and an inductive approach to data analysis. RESULTS: The emergent themes captured women's motivations for attending New Choices, benefits of participation, and overall quality of the program. Children were the primary motivating factor for program enrollment. Perceived benefits included decreased substance use, improved maternal health, enhanced opportunity for employment, increased access to other resources, enhanced parenting skills, and improved child behaviour and development. Women highly valued the comprehensive and centralized approach to service delivery that provided a range of informal and formal supports. CONCLUSIONS: Interview findings endorse the appropriateness and potential efficacy of a collaborative, centralized approach to service provision for women with substance use issues. Although the findings provide insight into an alternative model of service delivery for women with addictions, future research is needed to evaluate the effectiveness of the intervention. Research also is needed to determine which program components or constellation of components contribute to desired outcomes, and to learn more about processes that underlie changes in behaviour.
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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 | 0,001 | 0,000 |
| 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 | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| 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 ».