Patient-reported outcome measures for life participation in peritoneal dialysis: a systematic review
Bibliographic record
Abstract
BACKGROUND: Patients receiving peritoneal dialysis (PD) endure an ongoing regimen of daily fluid exchanges and are at risk of potentially life-threatening complications and debilitating symptoms that can limit their ability to participate in life activities. The aim of the study was to identify the characteristics, content and psychometric properties of measures for life participation used in research in PD. METHODS: We searched MEDLINE, Embase, PsychInfo, the Cumulative Index to Nursing and Allied Health Literature (CINAHL) and the Cochrane Central Register of Controlled Trials from inception to May 2020 for all studies that reported life participation in patients on PD. The characteristics, dimensions of life participation and psychometric properties of these measures were extracted and analyzed. RESULTS: Of the 301 studies included, 17 (6%) were randomized studies and 284 (94%) were nonrandomized studies. Forty-two different measures were used to assess life participation. Of these, 23 (55%) were used in only one study. Fifteen (36%) measures were specifically designed to assess life participation, while 27 (64%) measures assessed broader constructs, such as quality of life, but included questions on life participation. The 36-Item Short Form Health Survey and Kidney Disease Quality of Life Short Form were the most frequently used measures [122 (41%) and 86 (29%) studies, respectively]. Eight (19%) measures had validation data to support their use in patients on PD. CONCLUSIONS: The many measures currently used to assess life participation in patients receiving PD vary in their characteristics, content and validation. Further work to pilot and validate potential measures is required to establish a core patient-reported outcome measure to assess life participation in patients receiving PD.
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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 | 0.015 | 0.081 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.008 |
| Bibliometrics | 0.007 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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".