A weighted predictive modeling method for estimating thresholds of meaningful within-individual change for patient-reported outcomes
Bibliographic Data
| ID | 15299987 |
|---|---|
| Authors | Chenguang Zhao (0000-0003-0368-8974, Southern Medical University, corresponding author), Chong-Ye Zhao, Min-Qian Yan (Southern Medical University), Xiaohan Xu (0000-0002-3878-7529, Southern Medical University), Xiao-Han Xu, Chun‐Quan Ou (0000-0001-6866-7213) |
| Year | 2025 |
| Volume | 34 |
| Issue | 6 |
| Pages | 1797-1808 |
| Publication date | 2025-02-19 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Quality of Life Research (JOURNAL) |
| Journal identifiers | ISSN: 0962-9343 • E-ISSN: 1573-2649 |
| Publisher | Springer Science+Business Media (PUBLISHER • DE) |
| DOI | 10.1007/s11136-025-03924-z |
| PMID | 39969677 |
| OpenAlex | W4407757703 |
| Language | EN |
| Citations received | 1 |
| References cited | 29 |
Contrast (vision · Correlation · Correlation coefficient · Mean squared error · Monte Carlo method · Rank correlation · Reliability (semiconductor · Sample size determination · Statistics · Weighting · Chronic Disease Management Strategies · Computer Science · Health Policy Implementation Science · Health Systems, Economic Evaluations, Quality of Life · Mathematics · Artificial Intelligence
Measurement in Medicine
Methods to Explain the Clinical Significance of Health Status Measures
Recommended methods for determining responsiveness and minimally important differences for patient-reported outcomes
Defining clinically meaningful change in health-related quality of life
Moving from significance to real-world meaning
How strong should my anchor be for estimating group and individual level meaningful change? A simulation study assessing anchor correlation strength and the impact of sample size, distribution of change scores and methodology on establishing a true meaningful change threshold
Minimally important change determined by a visual method integratingan anchor-based and a distribution-based approach
Don’t middle your MIDs
The challenges inherent with anchor-based approaches to the interpretation of important change in clinical outcome assessments
Estimating anchor-based minimal important change using longitudinal confirmatory factor analysis
Establishing thresholds for meaningful within-individual change using longitudinal item response theory
Comparison of anchor-based methods for estimating thresholds of meaningful within-patient change using simulated PROMIS PF 20a data under various joint distribution characteristic conditions
Idio Scale Judgment
| Citations per year | 1 |
|---|---|
| Citation span | 2026 - 2026 (1) |
| Highly cited | No |