Health care experiences and expectations of individuals with severe maternal morbidity in high-income countries: a qualitative systematic review protocol
Bibliographic record
Abstract
OBJECTIVE: The objective of this review is to describe the health care experiences and expectations of people living in high-income countries who have had severe maternal morbidity (SMM). It will expand on findings from 2 earlier reviews highlighting structural and systemic factors influencing care to inform health care recommendations. INTRODUCTION: Severe maternal morbidity describes conditions and complications during pregnancy, birth, and postpartum associated with severe illness, debilitation, prolonged hospitalization, and high fatality rates. In higher-income countries, SMM is an important indicator of health care quality. With rates of SMM increasing around the world (disproportionately among some populations), and recognizing suboptimal care as an important modifiable risk factor, this review will focus on the health care experiences and expectations of people who have had SMM to reveal opportunities for maternal health care improvement. ELIGIBILITY CRITERIA: This review will include qualitative studies published since 1999 involving individuals in high-income countries who have experienced SMM. Studies will describe participants' health care experiences and expectations (or both) during pregnancy, birth, and postpartum. METHODS: Using the JBI approach for qualitative systematic reviews, we will search MEDLINE (Ovid), Embase, Web of Science Core Collection, CINAHL, and ProQuest for qualitative studies available in English. We will then screen titles and abstracts using the predetermined inclusion criteria to select articles for full-text review and critical appraisal. All relevant findings will be extracted from each included study, assessed for credibility, and then pooled and synthesized using JBI's meta-aggregation approach to develop a set of findings that can be used to make health care recommendations. REVIEW REGISTRATION: PROSPERO CRD42024569572.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".