Patient Navigation in Mothers at Risk for and Surviving with Breast/Ovarian Cancer: The Role of Children’s Ages in Program Utilization and Health Outcomes
Bibliographic record
Abstract
Background/Objectives: Many women at risk for and surviving with breast/ovarian cancer are simultaneously raising children. These women often experience unique challenges due to concurrent demands as both parents and patients with cancer. Community-based cancer control organizations offer vital patient navigation (PN), including psychoeducational services. Yet, little is known about how PN addresses these mothers’ comprehensive care needs. Methods: We examined PN program data from N = 1758 women served by a national cancer organization. Results: Out of the 69% of navigated women who were mothers, most were raising adult children only (age ≥ 18; 56%); however, 31% were mothers with young children only (age < 18), and 13% were mothers with both adult and young children (χ2 = 341.46, p < 0.001). While mothers with adult children reported poorer quality of life (QoL) than mothers with young children (physically unhealthy days, t = −2.2, df = 526, p < 0.05; total unhealthy days, t = −1.2, df = 533, p < 0.05), there were no significant differences in their PN experiences. For mothers with young children, a better QoL was associated with a lower genetic risk for cancer (r = −0.12) and a stronger sense of psychosocial empowerment (r = 0.10) (all p’s < 0.05). In an adjusted multivariate regression model of QoL, as empowerment increased, the influence of PN quality decreased (ß = −0.007, SE of ß = 0.00, p = 0.02), suggesting that strengthening mothers of young children’s sense of agency over their breast/ovarian cancer is critical to achieving overall well-being. Conclusions: CBO-led cancer control programming that supportively cares for mothers across their cancer journey can be essential to their QoL, especially for those who are raising minors.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".