Needs of children with neurodevelopmental disorders and medical complexity: Caregiver perspectives
Bibliographic record
Abstract
Caregivers of children with neurodevelopmental disorders and medical complexities (NDD-MC) coordinate care across complex multisectoral systems. Often NDD-MC children have complex behaviors, however there is limited information on coordination needs for families. Aim: The objective of this mixed methods study was to understand the needs of families with NDD-MC children. Methods and Procedures: This sequential exploratory study obtained the perspectives of 67 caregivers of NDD-MC children using semi-structured interviews and validated questionnaires to measure family quality of life, care integration, and resource use. An adapted model using Maslow’s hierarchy of needs was integrated, to understand the impacts of caregiving on quality of life. Outcomes and Results: Lack of support in caring for NDD-MC children negatively impacted family quality of life, resulting in various unmet needs, including caregiver burden, behavioural challenges, financial losses, and mental health issues. Caregivers dealt with a fragmented healthcare system that offered limited support to address coordination challenges. Conclusions and Implications: The implementation of a needs-based care coordination program is recommended to consider the health, educational, and social needs of NDD-MC children and their families. Effective care for children with complex needs should tailor support for families using Maslow’s hierarchy to enhance quality of life. • Families reported lack of access to NDD services reduced family quality of life. • Families experienced improved NDD services when their perspectives were integrated. • Maslow’s hierarchy was used recognizing physical, psychological and social needs related to quality of life. • Most medically complex children lack access to needed NDD services. • Families reported limited support from care teams to navigate services.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.006 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".