Patient‐reported outcome instruments that evaluate adherence behaviours in adults with asthma: a systematic review of measurement properties
Bibliographic record
Abstract
AIM: The aim of the present study was to identify systematically the measurement properties of patient-reported outcome instruments (PROs) that evaluate adherence to inhaled maintenance medication in adults with asthma. METHODS: We conducted a systematic review of six databases. Two reviewers independently included studies on the measurement properties of PROs that evaluated adherence in asthmatic participants aged ≥18 years. Based on the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN), the reviewers: (i) extracted data on internal consistency, reliability, measurement error, content validity, structural validity, hypotheses testing, cross-cultural validity, criterion validity and responsiveness; (ii) assessed the methodological quality of the included studies; (iii) assessed the quality of the measurement properties (positive or negative); and (iv) summarized the level of evidence (limited, moderate or strong). RESULTS: We screened 6068 records and included 15 studies (14 PROs). No studies evaluated measurement error or responsiveness. Based on methodological and measurement property quality assessments, we found limited positive evidence of: (i) internal consistency of the Adherence Questionnaire, Refined Medication Adherence Reason (MAR) scale, Medication Adherence Report Scale for Asthma (MARS-A) and Test of the Adherence to Inhalers (TAI); (ii) reliability of the TAI; and (iii) structural validity of the adherence questionnaire, MAR scale, MARS-A and TAI. We also found limited negative evidence of: (i) hypotheses testing of the Adherence Questionnaire; (ii) reliability of the MARS-A; and (iii) criterion validity of the MARS-A and TAI. CONCLUSIONS: Our results highlighted the need to conduct further high-quality studies to evaluate the reliability, validity and responsiveness of the available PROs.
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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 | 0.062 | 0.247 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.011 | 0.013 |
| Bibliometrics | 0.016 | 0.017 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| 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".