PROMIS® Health Organization (PHO) 2020 Conference Toward Patient-Centered Care: PROMIS Implementations and Advances Abstracts
Bibliographic record
Abstract
ObjectivesHeart failure (HF) is a common and morbid condition.We previously reported the development of the PROMIS®-Plus-HF Profile Measure, a complete assessment of health that combines generic and HFspecific items.To facilitate patient-centered research and care, we sought to develop research and clinical profiles of the PROMIS-Plus-HF measure with overall, physical, mental, and social summary scores.Methods Candidate items (n=31) for the Research and Clinical Profiles were selected from the 86 items in the PROMIS-Plus-HF Profile Measure based on psychometric properties and to ensure coverage of the range of symptoms experienced by HF patients.In a web-based survey, HF clinicians (n=43) rated item importance and clinical actionability.Informed by these results, the study team developed a 27item Research Profile and 10-item Clinical Profile.Overall, physical, mental, and social health summary scores on a scale of 0 to 100 were calculated.In a cross-sectional (n=600) sample, we measured the reliability: internal consistency with Cronbach's alpha and test-retest in sample of 100 participants.Known groups validity was assessed using one-way ANOVA, modeling difference in HF score across New York Heart Association (NYHA) Class and Kansas City Cardiomyopathy Questionnaire (KCCQ) summary scores and subscales.Differences in change in Profile scores (responsiveness) by KCCQ change was evaluated using linear mixed regression. ResultsIn the 600-person cross-sectional sample, the summary scores for the 27-item PROMIS-Plus-HF Research Profile and 10-item Clinical Profile were normally distributed.Internal consistency for domain scores were excellent (all α >0.8).Test-retest intraclass correlation coefficients for domain and overall scores were ≥0.90.Both profiles demonstrated known groups validity for overall score and physical sub-score based on NYHA Class, and for all scores based on KCCQ groups (p<0.05).In the 75-person longitudinal sample, the Research Profile demonstrated evidence of responsiveness (p<0.05) for the overall and domain scores.For the Clinical Profile, the point estimates for the overall and social and mental health scores reflected responsiveness and the change in physical score reached statistical significance (p<0.05). ConclusionThe PROMIS-Plus-HF Research and Clinical Profiles demonstrated overall good psychometric characteristics.The PROMIS-Plus-HF Research and Clinical Profiles may be used to facilitate patient-centered research and clinical care.
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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 | 0.203 | 0.141 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.006 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.003 | 0.010 |
| Research integrity | 0.003 | 0.009 |
| Insufficient payload (model declined to judge) | 0.025 | 0.017 |
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".