Association between maternal health status and birth outcomes in the Nelson Mandela Bay Health District
Bibliographic record
Abstract
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".