Opti’care protocol: a randomised control trial to evaluate the impact of a mobile antenatal care clinic in isolated rural areas on prenatal follow-up
Bibliographic record
Abstract
INTRODUCTION: Rural residence appears to be a factor of vulnerability among pregnant women with poor clinical antenatal care. Our principal objective is to assess the impact of an infrastructure for a mobile antenatal care clinic on the completion of antenatal care for women identified as geographically vulnerable in a perinatal network. METHODS AND ANALYSIS: Controlled cluster-randomised study in two parallel arms comparing an intervention group with an open-label control group. This study will concern the population of pregnant women who must live in one of the municipalities covered by the perinatal network and considered to be an area of geographic vulnerability. The cluster randomisation will take place according to the municipality of residence. The intervention will be the implementation of pregnancy monitoring by a mobile antenatal care clinic. The completion of antenatal care between the intervention and control groups will be a binary criterion: 1 will be attributed to each antenatal care that includes all visits and supplementary examinations. Sample size has been estimated to be 330 at least with an 80% participation rate.The univariate analyses will compare the follow-up rates (with Fisher's exact test), and all individual characteristics collected (Fisher's exact test, Student's t-test) between the two groups. The multivariate analysis will use a mixed linear model analysis and consider the cluster effect as random; the initial model will include known confounders from the literature, confounders identified in univariate analyses, and the clinically relevant prognostic factors. All of these factors will be taken into account in the model as a fixed effect. ETHICS AND DISSEMINATION: The Patient Protection Committee North-West II approved this study on 4 February 2021 (IRB 2020-A02247-32). The results will be the subject of scientific communications and publications. TRIAL REGISTRATION NUMBER: NCT04823104.
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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 | 0.008 | 0.012 |
| Meta-epidemiology (narrow) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.007 | 0.003 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.038 | 0.004 |
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".