Moms in motion: Predicting healthcare utilization patterns among mothers in Newfoundland and Labrador
Bibliographic record
Abstract
Mothers have a significant influence on family dynamics, child development, and access to family services. There is a lack of literature on the typical Canadian maternal experience and its influence on access to services for mothers despite recognizing the importance of mothers. A cross-sectional study was conducted to address this research gap that employed Andersen's Behavioral Model of Health Service Use in conjunction with a feminist lens. A total of 1,082 mothers who resided in Newfoundland and Labrador (NL) participated in a province-wide survey in 2017 and reported on their wellbeing, family life, and healthcare utilization. Stepwise binomial logistic regressions and linear regressions were used to predict initiation and continued service utilization within the preceding 12 months, respectively. Mothers who participated in this survey were older, and were more likely to be in a relationship than those in the Canadian census, while no difference was observed in annual income. Approximately half of mothers accessed services for themselves over the previous 12-months, with the overwhelming majority accessing services for their children. Medical services were the most likely to be utilized, and mental health and behavioural services were the most likely services to be needed, but not available. Sociodemographic (e.g., age, education attainment), familial relationships and role satisfaction, health need, and health practices predicted maternal initiation and continued use of services, with a larger number of variables influencing maternal service initiation as compared to continuous use of services. Sociodemographic (e.g., maternal age, community population), maternal social support, health need, and maternal health practices predicted maternal access of at least one child service while family relationships, health need, and maternal health practices predicted maternal use of a range of child services conditional on initial access. These results can support the provincial health system to better support access to care by acknowledging the interdependent nature of maternal and child health care utilization. They also highlight the importance of equitable healthcare access in rural locations. Results are discussed in terms of their clinical relevance to health policy.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| 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".