Psychometric Properties of Patient-Reported Outcome Measures Assessing Self-Efficacy in Patients with Chronic Obstructive Pulmonary Disease (COPD): A Systematic Review
Bibliographic record
Abstract
This systematic review aimed to synthesize the evidence of the psychometric properties of self-efficacy patient-reported outcome measures (PROMs) in patients with chronic obstructive pulmonary disease (COPD). We conducted a systematic search of MEDLINE and other common databases from inception until September 2020. Studies that reported psychometric properties of self-efficacy outcome measures in COPD patients were included. We used the Consensus-Based Standards for the Selection of Health Measurement Instruments (COSMIN) 2018 guidelines for data extraction and evidence synthesis. Eighteen studies that assessed nine self-efficacy PROMs were eligible for inclusion. The assessment of structural validity indicated sufficient results rating for the Exercise Self-Regulatory Efficacy Scale and the Self-Care-Self-Efficacy Scale, and insufficient rating for the COPD Self-Efficacy Scale and the Pulmonary Rehabilitation Adaptation Index for Self-Efficacy (PRAISE). Construct validity measures displayed sufficient results rating with correlations ranging from −0.48 to − 0.71 between self-efficacy PROMs and other PROMs such as St. George's Respiratory Questionnaire, Hospital Anxiety and Depression Scale and Chronic Respiratory Questionnaire. Internal consistency measures indicated sufficient rating for all self-efficacy PROMs with a Cronbach's alpha range of 0.71 − 0.98. Responsiveness was assessed for the PRAISE with an overall sufficient rating (effect sizes of 0.21 − 0.37). The evidence regarding the psychometric properties of self-efficacy PROMs in COPD is variable. The PRAISE is responsive to changes in self-efficacy in COPD patients attending a pulmonary rehabilitation program. When using self-efficacy PROMs in clinical practice or research, clinicians and researchers should consider the psychometric properties and choose the appropriate outcome measure based on the purpose.
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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 | 0.021 | 0.104 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.009 |
| Bibliometrics | 0.010 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".