Effect of Counselling Services on Parental Management of Children with Cerebral Palsy in Enugu State, Nigeria
Bibliographic record
Abstract
Background: Cerebral palsy (CP) is a neurological disorder affecting movement, muscle tone, and posture. It is often caused by damage to the developing brain, usually before, during, or shortly after birth. The condition can have a significant emotional, physical, financial, and social impact on parents. This study investigated the effect of counseling services on the parental management of children with CP in Enugu State. Methods: A pre-test and post-test quasi-experimental design was adopted. A validated self-developed Parent of Cerebral Palsy Management Self-Report Scale (PCPMSS, r-0.78) was used for data collection. The Counseling Treatment Package (CTP) was used as the intervention in the study. Parents of children with Cerebral palsy were exposed to eight weeks of counseling sessions. The data collected were statistically analyzed using a pairwise t-test to measure the effectiveness of the intervention. One sample t-test was also used to test self-report intervention effectiveness and satisfaction with the intervention. Results: The results indicate that parents exposed to family counseling improved significantly in handling family-oriented challenges. Counseling intervention improved the emotional stability of parents of children with CP. Conclusion: It was recommended, among other things, that counseling services and other evidence-based interventions be provided for parents of children with CP to equip them with relevant coping skills and resources needed to support their children’s development.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| 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".