Research Paper: Determination of the Needs of Mothering Handling Training for Family Caregiving of Children and Youth With Cerebral Palsy at Home Based on a Family- Centered Approach
Bibliographic record
Abstract
Objective Caregivers of children with cerebral palsy (CP) are faced with many challenges in self-care, treatment follow-up, educational care, and personal leisure time. Therefore, they should be trained for resolving their needs during caregiving. This study aimed to determine the priority of needs of mothering handling training for family caregiving of children and youth with CP at home based on the family-centered approach. Materials & Methods This cross-sectional study was performed on 186 children with CP (aged 4-12 years) from the rehabilitation clinics in the city of Arak. The participants were chosen by a convenience sampling strategy. Clinical tests such as the Manual Ability Classification System (MACS) and the Canadian Occupational performance measure were used to assess the level of fine motor function and determine the priority of needs of children with CP, respectively. The data were analyzed using statistical tests including two-way ANOVA. Results In this study, there were 89 girls and 97 boys with CP with a mean age 7.52+2.38 years. The CP types were as follows: spastic (67.7%), dyskinetic (13.9%), ataxic (5.9%), and hypotonic (4.8%). The most important priority of needs of mothering handling training was self-care and care related to children with CP in the level of V of MACS. The results showed that the priority of needs of the mothering handling training based on occupational performance (self-care, productivity and play/leisure) were toileting in the level of IV of MACS. There were no significant differences in the priority of needs of the training in the areas of sex and level of fine motor function (P>0.05); however, there were significant differences in age and self-care (P<0.05). Conclusion The results showed that the highest priority of needs of mothering handling training was self-care, feeding, toileting, and functional mobility. However, the needs of mothering handling training enhanced with increasing severity of fine motor function lesions and age. The simultaneous relationships between age and MACS levels in children with CP have no effect on the priorities of mothering handling training. Organized training of families and caregivers about needs of mothering handling training and proper care of their children are facilitating steps in promoting the education of mothers of children with CP. It seems that the understanding and education of mothering handling for therapists responsible for managing children with CP and the education of their parents can open the way to effective caring and treatment.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".