Management of pregnant and postnatal women with pre-existing diabetes or cardiac disease using multi-disciplinary team models of care: a systematic review
Bibliographic record
Abstract
BACKGROUND: More women with an increased risk of poor pregnancy outcome due to pre-existing medical conditions are becoming pregnant. Although clinical care provided through multi-disciplinary team (MDT) working is recommended, little is known about the structure or working practices of different MDT models, their impact on maternal and infant outcomes or healthcare resources. The objectives of this review were to consider relevant international evidence to determine the most appropriate MDT models of care to manage complex medical conditions during and after pregnancy, with a specific focus on pre-existing diabetes or cardiac disease in high income country settings. METHODS: Quantitative and qualitative evidence of MDT models of care for the management of pregnant/postnatal women with pre-existing diabetes and cardiac disease was considered. A search of the literature published between January 2002 - January 2014 was undertaken. Methodological quality was assessed using checklists developed by the Joanna Briggs Institute. Given limited primary and secondary research evidence, guidelines and opinion papers were included. Two independent reviewers conducted critical appraisal of included papers. RESULTS: Nineteen papers were included from UK, Canada, USA, the Netherlands and Singapore. No studies were found which had compared MDT models for pregnant/postnatal women with pre-existing diabetes or cardiac disease. Two small retrospective studies reported better outcomes for women with cardiac disease if an MDT approach was used, although evidence to support this was limited. Due to study heterogeneity it was not possible to meta-analyse data. No evidence was identified of MDT management in the postnatal period or impacts of MDT working on healthcare resources. CONCLUSIONS: Despite widespread promotion of MDT models of care for pregnant and postnatal women with pre-existing diabetes or cardiac disease, there is a dearth of primary evidence to inform structure or working practices or beneficial impact on maternal and infant outcomes or healthcare resources. Primary research into if or how MDT models of care improve outcomes for women with complex pregnancies is urgently needed.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".