Factors affecting the emotional wellbeing of women and men who experience miscarriage in hospital settings: a scoping review
Notice bibliographique
Résumé
BACKGROUND: Miscarriage can be a devastating event for women and men that can lead to short- and long-term emotional distress. Studies have reported associations between miscarriage and depression, anxiety, and post-traumatic stress disorder in women. Men can also experience intense grief and sadness following their partner's miscarriage. While numerous studies have reported hospital-related factors impacting the emotional wellbeing of parents experiencing miscarriage, there is a lack of review evidence which synthesises the findings of current research. AIMS: The aim of this review was to synthesise the findings of studies of emotional distress and wellbeing among women and men experiencing miscarriage in hospital settings. METHODS: A systematic search of the literature was conducted in October 2020 across three different databases (CINAHL, MEDLINE and PsycInfo) and relevant charity organisation websites, Google, and OpenGrey. A Mixed Methods appraisal tool (MMAT) and AACODS checklist were used to assess the quality of primary studies. RESULTS: Thirty studies were included in this review representing qualitative (N = 21), quantitative (N = 7), and mixed-methods (N = 2) research from eleven countries. Findings indicated that women and men's emotional wellbeing is influenced by interactions with health professionals, provision of information, and the hospital environment. Parents' experiences in hospitals were characterised by a perceived lack of understanding among healthcare professionals of the significance of their loss and emotional support required. Parents reported that their distress was exacerbated by a lack of information, support, and feelings of isolation in the aftermath of miscarriage. Further, concerns were expressed about the hospital environment, in particular the lack of privacy. CONCLUSION: Women and men are dissatisfied with the emotional support received in hospital settings and describe a number of hospital-related factors as exacerbators of emotional distress. IMPLICATIONS FOR PRACTICE: This review highlights the need for hospitals to take evidence-informed action to improve emotional support services for people experiencing miscarriage within their services.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
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) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| 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 ».