Association between maternal health status and birth outcomes in the Nelson Mandela Bay Health District
Notice bibliographique
Résumé
In 2011, the South African low birth weight rates varied between 9% and 15.5%, according to different sources. This means that about one out of every ten babies born alive weighed less than 2500g. Furthermore, six of South Africa’s nine provinces, including the Eastern Cape, reported low birth weight rates equal or higher than the national average. These figures raise serious concerns about the health status of infants, their chances of survival and their quality of life, particularly in provinces with a high incidence of low birth weight. Literature has linked the maternal health status to adverse birth outcomes. Statistics from the district office of the Nelson Mandela Bay Health District (NMBHD) indicates that for the fourth quarter of 2015, between 16.65 and 20.9% low birth weight infants were born. However, limited information is available regarding the causes and maternal health status of the mothers of the infants born with adverse birth outcomes in the Nelson Mandela Bay Health District (NMBHD). The objective of the research study is to investigate the associations between maternal health status and birth outcomes in order to identify the major drivers of adverse birth outcomes in NMBHD. The study used a quantitative research approach. In order to enhance the design, the researcher used an explorative, descriptive, cross-sectional, contextual and survey research design. The study was conducted at the regional hospital in Nelson Mandela Bay Health District (NMBHD) and Midwifery Obstetric Units (MOU). The participants were selected using a convenient and purposive sampling technique. A structured, self-administered questionnaire was used as the data collection tool. A statistician assisted with the data analysis. Descriptive and inferential statistics were used. The researcher ensured that ethical considerations were maintained throughout the study to protect the participants. Reliability and validity were also ensured throughout the study. The total sample of the study was 207 and the mean age of the participants was 26,9 years. Hypertension and HIV were the conditions most diagnosed prior to, and during, pregnancy. Most of the delivered infants were females. The findings of the study revealed a significant association between maternal diabetes, maternal hypertension and the infants’ birth weight. Additional findings iv revealed that independent of gestational age, mothers with hypertension are likely to deliver low birth weight (LBW) infants. Antenatal care is of the utmost importance during pregnancy and special attention should be given to the management of hypertension. The researcher developed recommendations for primary health care (PHC) nurses in antenatal clinics (ANC) to address the management of the major maternal drivers of LBW infants in order to decrease and prevent adverse birth outcomes.
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 | 0,001 | 0,003 |
| 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 | 0,000 |
| Science ouverte | 0,001 | 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 ».