Challenges and unmet needs of mothers of preschool children with autism spectrum disorders in Tunisia: a qualitative study
Bibliographic record
Abstract
Introduction: Autism spectrum disorder (ASD) is a life-changing condition, not only for the child but also for the mother and the usual caregiver. In fact, a child recently diagnosed with ASD is a real challenge to mothers´ adaptation, involves their resources, and gives rise to a set of needs. This study explores the unmet needs and experiences of mothers of ASD children in the Tunisian context. Methods: a qualitative phenomenological design was chosen for this study and a semi-structured interview was used for eight mothers raising an autistic preschooler child. Results: the results indicate significant denial and rejection following the announcement of the diagnosis. To cope with this, reliance on religion has helped foster acceptance. Although informal support (from family and friends) has sometimes been mentioned, an increased need for training, social and financial support has been expressed and is a major concern given the high cost of TSA services. Conclusion: this study provides a deeper understanding of mothers' needs following the announcement of the diagnosis of ASD. These unmet needs should be taken into account when designing interventions strategies for children with ASD to help mothers cope and parent a child with ASD.
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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 | 0.003 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".