Recent advances in patient and proxy-reported quality of life research
Bibliographic record
Abstract
BACKGROUND: A number of articles addressing various aspects of health-related quality of life (HRQoL) were published in the Health and Quality of Life Outcomes (HQLO) journal in 2012 and 2013. This review provides a summary of studies describing recent methodological advances and innovations in HRQoL felt to be of relevance to clinicians and researchers. METHODS: Scoping review of original research articles, reviews and short reports published in the HQLO journal in 2012 and 2013. Publications describing methodological advances and innovations in HRQoL were reviewed in detail, summarized and grouped into thematic categories. RESULTS: 358 titles and abstracts were screened initially, and 16 were considered relevant and incorporated in this review. Two studies discussed development and interpretation of HRQoL outcomes; two described pediatric HRQoL measurement; four involved incorporation of HRQoL in economic evaluations; and eight described methodological issues and innovations in HRQoL measures. CONCLUSIONS: Several studies describing important advancements and innovations in HRQoL, such as the development of the PROMIS pediatric proxy-item bank and guidelines for constructing patient-reported outcome (PRO) instruments, were published in the HQLO journal in 2012 and 2013. Proposed future directions for the majority of these studies include extension and further validation of the research across a diverse range of health conditions.
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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 | 0.032 | 0.052 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.010 | 0.016 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| 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".