Quality of life after maternal near miss: A systematic review
Notice bibliographique
Résumé
INTRODUCTION: Maternal near miss is a major global health issue; approximately 7 million women worldwide experience it each year. Maternal near miss can have several different health consequences and can affect the women's quality of life, yet little is known about the size and magnitude of this association. The aim of this study was to assess the evidence of the association between women who have experienced maternal near miss and quality of life and women who had an uncomplicated pregnancy and delivery. MATERIAL AND METHODS: Cochrane library, Embase, CINAHL, Web of Science, MEDLINE, Scopus and PubMed were searched for published studies. Studies were selected according to the PECO model (population, exposure, control and outcome) and were included if they investigated quality of life as an outcome after maternal near miss among women of all ages with no limitation on country or time (up to June 2020). Maternal near miss was defined as a life-threatening condition arising from complications related to pregnancy and/or childbirth. The quality of the studies was assessed according to the Newcastle-Ottawa scale and a Forest plot was constructed based on quality of life outcomes and study quality. PROSPERO registration number: CRD42020169232. RESULTS: Fifteen studies were included in the review with a total of 31 558 women. Quality of life was reported in various ways, and 25 different confounders were controlled for. Compared with women who did not experience maternal near miss, women exposed to maternal near miss had an overall lower quality of life (n = 2/2), had poorer mental (n = 6/10) and social health (n = 2/3), and maternal near miss had negative economic consequences (n = 4/4). Maternal near miss was not associated with sexual dysfunction (n = 1/5). Ten of 15 studies were assessed as being of poor quality. CONCLUSIONS: Evidence shows that maternal near miss is negatively associated with various aspects of quality of life. This highlights the importance of addressing the adverse effects associated with maternal near miss and follow up maternal near miss after discharge. Quality of life is a multidimensional concept that is assessed in various ways, and the literature on the field is heterogeneous. More high-quality studies are needed.
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 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 | 0,009 | 0,044 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,009 | 0,008 |
| Bibliométrie | 0,008 | 0,010 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,003 | 0,002 |
| Science ouverte | 0,002 | 0,002 |
| Intégrité de la recherche | 0,002 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 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 ».