Navigating health care systems for military-connected children with autism spectrum disorder: A qualitative study of military families experiencing mandatory relocation
Bibliographic record
Abstract
BACKGROUND: Most military families experience mandatory relocation, or posting, several times during the military career. For Canadian military families who must access provincial or territorial health care systems, maintaining reasonable continuity of care is a persistent issue. Such challenges may be amplified when a child in a military family has special needs within the health and educational systems. OBJECTIVE: The purpose of this qualitative study was to gain a better understanding of Canadian Armed Forces families' experiences in navigating health care systems on behalf of a child with autism spectrum disorder (ASD) in the context of mandatory relocation. METHODS: Parents of children with ASD, where at least one parent serves in the Canadian Armed Forces and had faced military-related relocation, were recruited. Semi-structured interviews were recorded, transcribed verbatim, and analyzed thematically. RESULTS: Twelve participants represented 12 families and 15 children with ASD. Participants discussed two primary themes. (1) High mobility inherent in the military lifestyle can create disruptions and discontinuities to service, including delays in diagnosis or intervention, losses and gains in available services determined by the direction of posting, and the need to start health care access processes over again when relocating. (2) Navigating health systems for children with ASD creates personal stress and frustration related to relocating, and has career implications for both parents. CONCLUSIONS: Military-related relocation can create significant disruption in access to health and educational services for Canadian military families who have a child with ASD, and take a personal toll on these 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 | 0.006 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.019 | 0.010 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".