Needs of caregivers of children with cerebral palsy: A literature review
Bibliographic record
Abstract
Background and objective: Cerebral palsy (CP) is the most common motor disability that affects two to three children per 1000 worldwide. Caregivers are most often parents of children with CP (CCP) who are responsible for providing primary care. Caregivers of CCP face multiple challenges, such as the manifestation of the disease and difficulty in providing daily care. They also have psychological, social, financial, and informational needs. These needs may be met through participation in support groups. The objective of this paper is to identify the needs of caregivers of CCP and how participation in support groups may meet those needs.Methods: A literature review was conducted to identify relevant articles on the needs of caregivers of CCP. Eleven articles published between 2008 and 2018 on caregivers’ needs were retrieved and their quality was assessed using the Mixed Methods Appraisal Tool. The data collected were analyzed to identify key themes related to caregivers’ needs.Results: Four key themes of caregivers’ needs were identified: informational, financial, social, and psychological. Support groups may help caregivers to meet their needs. As caregivers receive their needed support, they will able to improve their role in providing a high quality care for their children.Conclusions: Caregivers of CCP have informational, financial, social, and psychological needs which may be met by membership in support groups. Support groups may potentially increase caregivers’ knowledge, receive the needed support, decrease their level of stress, and improve their quality of life.
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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 | 0.004 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.008 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 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 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".