Patient- and parent proxy-reported outcome measures for life participation in children with chronic kidney disease: a systematic review
Bibliographic record
Abstract
BACKGROUND: The burden of chronic kidney disease (CKD) and its treatment may severely limit the ability of children with CKD to do daily tasks and participate in family, school, sporting and recreational activities. Life participation is critically important to affected children and their families; however, the appropriateness and validity of available measures used to assess this outcome are uncertain. The aim of this study was to identify the characteristics, content and psychometric properties of existing measures for life participation used in children with CKD. METHODS: We searched MEDLINE, Embase, PsychINFO, Cumulative Index to Nursing and Allied Health Literature and the Cochrane Kidney and Transplant register to August 2019 for all studies that used a measure to report life participation in children with CKD. For each measure, we extracted and analyzed the characteristics, dimensions of life participation and psychometric properties. RESULTS: From 128 studies, we identified 63 different measures used to assess life participation in children with CKD. Twenty-five (40%) of the measures were patient reported, 7 (11%) were parent proxy reported and 31 (49%) had both self and parent proxy reports available. Twenty-two were used in one study only. The Pediatric Quality of Life Inventory version 4.0 generic module was used most frequently in 62 (48%) studies. Seven (11%) were designed to assess ability to participate in life, with 56 (89%) designed to assess other constructs (e.g. quality of life) with a subscale or selected questions on life participation. Across all measures, the three most frequent activities specified were social activities with friends and/or family, leisure activities and self-care activities. Validation data in the pediatric CKD population were available for only 19 (30%) measures. CONCLUSIONS: Life participation is inconsistently measured in children with CKD and the measures used vary in their characteristics, content and validity. Validation data supporting these measures in this population are often incomplete and are sparse. A meaningful and validated measure for life participation in children with CKD is needed.
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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 | 0.013 | 0.073 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.009 |
| Bibliometrics | 0.008 | 0.011 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".