Transnational prenatal care among migrant women from low-and-middle-income countries who gave birth in Montreal, Canada
Bibliographic record
Abstract
OBJECTIVES: There is little research examining transnational prenatal care (TPC) (i.e., prenatal care in more than one country) among migrant women. Using data from the Migrant-Friendly Maternity Care (MFMC) - Montreal project, we aimed to: (1) Estimate the prevalence of TPC, including TPC-arrived during pregnancy and TPC-arrived pre-pregnancy, among recently-arrived migrant women from low- and middle-income countries (LMICs) who gave birth in Montreal, Canada; (2) Describe and compare the socio-demographic, migration and health profiles and perceptions of care during pregnancy in Canada between these two groups and migrant women who received no TPC (i.e., only received prenatal care in Canada); and (3) Identify predictors of TPC-arrived pre-pregnancy vs. No-TPC. METHODS: The MFMC study used a cross-sectional design. Data were gathered from recently-arrived (< 8 years) migrant women from LMICs via medical record review and interview-administration of the MFMC questionnaire postpartum during the period of March 2014-January 2015 in three hospitals, and February-June 2015 in one hospital. We conducted a secondary analysis (n = 2595 women); descriptive analyses (objectives 1 & 2) and multivariable logistic regression (objective 3). RESULTS: Ten percent of women received TPC; 6% arrived during pregnancy and 4% were in Canada pre-pregnancy. The women who received TPC and arrived during pregnancy were disadvantaged compared to women in the other two groups (TPC-arrived pre-pregnancy and No-TPC women), in terms of income level, migration status, French and English language abilities, access barriers to care and healthcare coverage. However, they also had a higher proportion of economic migrants and they were generally healthier compared to No-TPC women. Predictors of TPC-arrived pre-pregnancy included: 'Not living with the father of the baby' (AOR = 4.8, 95%CI 2.4, 9.8), 'having negative perceptions of pregnancy care in Canada (general experiences)' (AOR = 1.2, 95%CI 1.1, 1.3) and younger maternal age (AOR = 1.1, 95%CI 1.0, 1.1). CONCLUSION: Women with more capacity may self-select to migrate during pregnancy which results in TPC; these women, however, are disadvantaged upon arrival, and may need additional care. Already-migrated women may use TPC due to a need for family and social support and/or because they prefer the healthcare in their home country.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 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) | 0.002 | 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".