Perceptions and experiences of care providers as clients of NaviCare/SoinsNavi: a patient navigation centre for children and youth with complex care needs
Bibliographic record
Abstract
Objective: NaviCare/SoinsNavi is a bilingual patient navigation centre for children and youth 25 years of age or younger with complex care needs in New Brunswick. This research-based centre employs two bilingual patient navigators, one a registered nurse and the other a lay navigator, who assist children/youth, family members and the care team by facilitating more convenient and integrated care using a personalised family-centred approach. The purpose of this study was to explore the perceptions and experiences of care providers who use NaviCare/SoinsNavi. This study builds on ongoing research exploring the experiences of children/youth and their families who are clients of NaviCare/SoinsNavi. Methods: Interviews were conducted with 10 care providers (n=10) from various sectors including social support services (n=6), primary care (n=2), mental health services (n=1) and acute care (n=1). Results: Qualitative interviews were conducted and five themes related to the participants' perceptions and experiences with NaviCare/SoinsNavi emerged, including : (1) trusted source, (2) connector, (3) capacity builder, (4) partner and (5) time saver. The overall impression of NaviCare/SoinsNavi was positive in the service's ability to help support care providers and streamline the care they provide to their clients. Conclusions: It is within every healthcare provider's scope of practice to provide navigational support to essential programmes and services; however, due to limitations in time, resources and capacity, services such as NaviCare/SoinsNavi can be used to help close gaps in care that exists for children/youth with complex care needs and their families.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".