Evaluating the credibility of anchor based estimates of minimal important differences for patient reported outcomes: instrument development and reliability study
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Evaluating the credibility of anchor based estimates of minimal important differences for patient reported outcomes: instrument development and reliability study
Authors
Keywords
-
Journal
BMJ-British Medical Journal
Volume -, Issue -, Pages m1714
Publisher
BMJ
Online
2020-06-04
DOI
10.1136/bmj.m1714
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Minimal important differences for improvement in shoulder condition patient-reported outcomes: a systematic review to inform a BMJ Rapid Recommendation
- (2019) Qiukui Hao et al. BMJ Open
- Minimum clinically important differences in chronic pain vary considerable by baseline pain and methodological factors: systematic review of empirical studies
- (2018) Mette Frahm Olsen et al. JOURNAL OF CLINICAL EPIDEMIOLOGY
- The anchor-based minimal important change, based on receiver operating characteristic analysis or predictive modeling, may need to be adjusted for the proportion of improved patients
- (2017) Berend Terluin et al. JOURNAL OF CLINICAL EPIDEMIOLOGY
- Minimally Important Differences in Patient or Proxy-Reported Outcome Studies Relevant to Children: A Systematic Review
- (2017) Shanil Ebrahim et al. PEDIATRICS
- Application of minimal important differences in degenerative knee disease outcomes: a systematic review and case study to inform BMJ Rapid Recommendations
- (2017) Tahira Devji et al. BMJ Open
- Examining the Minimal Important Difference of Patient-reported Outcome Measures for Individuals with Knee Osteoarthritis: A Model Using the Knee Injury and Osteoarthritis Outcome Score
- (2016) Kathryn A.G. Mills et al. JOURNAL OF RHEUMATOLOGY
- Minimal important change (MIC) based on a predictive modeling approach was more precise than MIC based on ROC analysis
- (2015) Berend Terluin et al. JOURNAL OF CLINICAL EPIDEMIOLOGY
- Minimal Clinically Important Difference
- (2014) Anna E. McGlothlin et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Health-related quality of life of patients with advanced breast cancer treated with everolimus plus exemestane versus placebo plus exemestane in the phase 3, randomized, controlled, BOLERO-2 trial
- (2013) Howard A. Burris et al. CANCER
- Patient-reported outcomes in meta-analyses --Part 2: methods for improving interpretability for decision-makers
- (2013) Bradley C Johnston et al. Health and Quality of Life Outcomes
- Applying Concepts of Responsiveness to Patient Management in Neurologic Physical Therapy
- (2013) Marianne Beninato et al. Journal of Neurologic Physical Therapy
- A Framework for Managing the Minimal Clinically Important Difference in Clinical Trials
- (2013) Denitsa Koynova et al. Therapeutic Innovation & Regulatory Science
- What Does/Should the Minimum Clinically Important Difference Measure?
- (2012) Robert J. Gatchel et al. CLINICAL JOURNAL OF PAIN
- Test–Retest, Responsiveness, and Minimal Important Change of the Ability to Perform Physical Activities of Daily Living Questionnaire in Individuals with Type 2 Diabetes and Obesity
- (2012) Risa P. Hayes et al. Diabetes Technology & Therapeutics
- New methods can extend the use of minimal important difference units in meta-analyses of continuous outcome measures
- (2012) Bradley C. Johnston et al. JOURNAL OF CLINICAL EPIDEMIOLOGY
- Clinically relevant, statistically significant, or both? Minimal important change in the individual subject revisited
- (2011) Georg Kemmler et al. JOURNAL OF CLINICAL EPIDEMIOLOGY
- Specific instructions for estimating unclearly reported blinding status in randomized trials were reliable and valid
- (2011) Elie A. Akl et al. JOURNAL OF CLINICAL EPIDEMIOLOGY
- A point of minimal important difference (MID): a critique of terminology and methods
- (2011) Madeleine T King Expert Review of Pharmacoeconomics & Outcomes Research
- Improving the interpretation of quality of life evidence in meta-analyses: the application of minimal important difference units
- (2010) Bradley C Johnston et al. Health and Quality of Life Outcomes
- Determining a Minimum Clinically Important Difference Between Treatments for a Patient-Reported Outcome
- (2010) Simon Kirby et al. Journal of Biopharmaceutical Statistics
- Global Perceived Effect scales provided reliable assessments of health transition in people with musculoskeletal disorders, but ratings are strongly influenced by current status
- (2010) Steven J. Kamper et al. JOURNAL OF CLINICAL EPIDEMIOLOGY
- Psychometric Evaluation of the FACT Colorectal Cancer Symptom Index (FCSI-9): Reliability, Validity, Responsiveness, and Clinical Meaningfulness
- (2010) H. H. Colwell et al. ONCOLOGIST
- The role of the minimum clinically important difference and its impact on designing a trial
- (2010) Christy Chuang-Stein et al. PHARMACEUTICAL STATISTICS
- The variability in minimal clinically important difference and patient acceptable symptomatic state values did not have an impact on treatment effect estimates
- (2009) Florence Tubach et al. JOURNAL OF CLINICAL EPIDEMIOLOGY
- Mind the MIC: large variation among populations and methods
- (2009) Caroline B. Terwee et al. JOURNAL OF CLINICAL EPIDEMIOLOGY
- Three ways to quantify uncertainty in individually applied “minimally important change” values
- (2009) Henrica C.W. de Vet et al. JOURNAL OF CLINICAL EPIDEMIOLOGY
- The minimal detectable change cannot reliably replace the minimal important difference
- (2009) Dan Turner et al. JOURNAL OF CLINICAL EPIDEMIOLOGY
- Systematic Review of Measures of Clinical Significance Employed in Randomized Controlled Trials of Drugs for Dementia
- (2009) Frank J. Molnar et al. JOURNAL OF THE AMERICAN GERIATRICS SOCIETY
- Using the entire cohort in the receiver operating characteristic analysis maximizes precision of the minimal important difference
- (2008) Dan Turner et al. JOURNAL OF CLINICAL EPIDEMIOLOGY
- Recommended methods for determining responsiveness and minimally important differences for patient-reported outcomes
- (2007) Dennis Revicki et al. JOURNAL OF CLINICAL EPIDEMIOLOGY
Become a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get StartedAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started