Being the Pillar for Children with Rare Diseases—A Systematic Review on Parental Quality of Life
Bibliographic record
Abstract
Parents caring for children with rare diseases fear the long-term progression of the child's disease. The current study aims to systematically investigate the quality of life (QoL) in parents of children with different rare diseases. We performed a systematic literature search including quantitative studies on QoL of parents caring for children and adolescents with rare diseases in five databases (APA PsycArticles, APA PsycInfo, MEDLINE, PSYNDEXplus, and PubMed) published between 2000-2020. Of the 3985 titles identified, 31 studies met the inclusion criteria and were selected for narrative review. Studies were included if they investigated predictors of parental QoL or reported QoL compared to normative samples, parents of healthy children, or children with other chronic diseases. We used the Newcastle-Ottawa Scale to assess methodological quality. The systematic review revealed that parents of children with rare diseases experience reduced QoL compared to parents with healthy children and norm values. Psychosocial factors, beyond disease-specific predictors, were shown to influence parental QoL substantially and may thus present an essential aspect within interventions for this highly burdened group. Health care professionals should consider and address the impairment of parental QoL due to the child's rare disease. We discuss insights into existing research gaps and improvements for subsequent work.
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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 | 0.006 | 0.029 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.004 |
| Bibliometrics | 0.007 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".