Quality of life after maternal near miss: A systematic review
Bibliographic record
Abstract
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.
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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 | 0.009 | 0.044 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.009 | 0.008 |
| Bibliometrics | 0.008 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".