Adolescents’ experience of mistreatment and abuse during childbirth: a cross-sectional community survey in a low-income informal settlement in Nairobi, Kenya
Notice bibliographique
Résumé
BACKGROUND: Adolescent girls in Africa have poorer maternal health outcomes than older women partly because they are less likely to access antenatal and facility-based delivery care. Mistreatment and abuse of adolescents during facility-based childbirth can further negatively impact their use of maternal healthcare services. Yet studies on this topic are limited. As a result, patterns of mistreatment and abuse, their association with care satisfaction, and the intention to use health facilities for future births or recommend facilities to others are poorly understood. This study estimates the prevalence of mistreatment and abuse of adolescent girls during facility-based childbirth in low-income settlements in an urban area. It also examines whether experiencing mistreatment and abuse during facility-based childbirth is associated with care satisfaction, willingness to recommend the facility to others, and intention to use the facility for subsequent childbirths. METHODS: We used cross-sectional data collected from 491 adolescent mothers recruited through a household listing in an informal settlement in Nairobi, Kenya. Girls self-reported their experience of physical and verbal abuse, stigma and discrimination, lack of privacy, detainment (baby or mother detained in the clinic due to inability to pay user fees), neglect and abandonment during childbirth. Descriptive statistics were used to summarise the categorical variables while binary logistic regression models were used to examine the association between experience of mistreatment and abuse and care satisfaction, willingness to recommend the facility to others and intention to use the facility for subsequent childbirths. RESULTS: About one-third of adolescent mothers (32.2%) reported physical abuse, verbal abuse or stigma and discrimination from health providers. 1 in 10 reported neglect and abandonment during childbirth, and about a quarter (24%) reported a lack of privacy. Detainment was reported by approximately 17% of girls. Report of any physical abuse, verbal abuse, and stigma and discrimination was significantly associated with a lower likelihood of satisfaction with care (Adjusted Odds ration (AOR) 0.24; 95% CI 0.15 to 0.38), intention to use the facility for future births (AOR 0.32; 95% CI 0.22 to 0.48) and willingness to recommend the facility to others (AOR 0.23; 95% CI 0.15 to 0.36). Neglect and abandonment during childbirth, and lack of privacy were significantly associated with lower odds of being satisfied with the care, intention to use the facility for future births, and the willingness to recommend the facility to others. Experience of detention was associated with a lower likelihood of intention to use the facility for future births (AOR 0.55; 95% CI 0.34 to 90), but not with the willingness to recommend the facility to others or overall satisfaction with care. CONCLUSIONS: Mistreatment and abuse of adolescent girls during childbirth are common in the study setting and are associated with lower levels of satisfaction with care, intention to use the facility for future births, or recommend it to others. Preservice and in-service training of health workers in the study setting should address the need for respectful care for adolescents.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 source (Gemma direct ou Codex distillé), 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 ».