Evaluation of responsiveness and estimation of smallest detectable change and minimal important change scores for the Childhood Atopic Dermatitis Impact Scale

2019 ◽  
Vol 182 (2) ◽  
pp. 348-354 ◽  
Author(s):  
M. Gabes ◽  
S.L. Chamlin ◽  
J.‐S. Lai ◽  
D. Cella ◽  
A.J. Mancini ◽  
...  

2012 ◽  
Vol 65 (12) ◽  
pp. 1337-1347 ◽  
Author(s):  
Fania R. Gärtner ◽  
Karen Nieuwenhuijsen ◽  
Frank J.H. van Dijk ◽  
Judith K. Sluiter


2015 ◽  
Vol 100 (7) ◽  
pp. 649-653 ◽  
Author(s):  
Jolita Bekhof ◽  
Roelien Reimink ◽  
Ine-Marije Bartels ◽  
Hendriekje Eggink ◽  
Paul L P Brand

BackgroundIn children with acute dyspnoea, the assessment of severity of dyspnoea and response to treatment is often performed by different professionals, implying that knowledge of the interobserver variation of this clinical assessment is important.ObjectiveTo determine intraobserver and interobserver variation in clinical assessment of children with dyspnoea.MethodsFrom September 2009 to September 2010, we recorded a convenience sample of 27 acutely wheezing children (aged 3 months–7 years) in the emergency department of a general teaching hospital in the Netherlands, on video before and after treatment with inhaled bronchodilators. These video recordings were independently assessed by nine observers scoring wheeze, prolonged expiratory phase, retractions, nasal flaring and a general assessment of dyspnoea on a Likert scale (0–10). Assessment was repeated after 2 weeks to evaluate intraobserver variation.ResultsWe analysed 972 observations. Intraobserver reliability was the highest for supraclavicular retractions (κ 0.84) and moderate-to-substantial for other items (κ 0.49–0.65). Interobserver reliability was considerably worse, with κ<0.46 for all items. The smallest detectable change of the dyspnoea score (>3 points) was larger than the minimal important change (<1 point), meaning that in 69% of observations a clinically important change after treatment cannot be distinguished from measurement error.ConclusionsIntraobserver variation is modest, and interobserver variation is large for most clinical findings in children with dyspnoea. The measurement error induced by this variation is too large to distinguish potentially clinically relevant changes in dyspnoea after treatment in two-thirds of observations. The poor interobserver reliability of clinical dyspnoea assessment in children limits its usefulness in clinical practice and research, and highlights the need to use more objective measurements in these patients.



2021 ◽  
Author(s):  
Juan Pablo Martinez-Cano ◽  
Daniel Vernaza-Obando ◽  
Julián Chica ◽  
Andrés Mauricio Castro

Abstract Background: Patellofemoral pain is a very common complaint in orthopedic sports medicine clinics. Disease-specific patient-reported outcome measures (PROMs) are useful for research and clinical practice; thus, it is important to have validated translations available for new PROMs. This study aims to translate and validate the Spanish version of the patellofemoral pain and osteoarthritis subscale of the knee injury and osteoarthritis outcome score (KOOS-PF).Methods: The KOOS-PF was translated and culturally adapted to Spanish following current guidelines, which included translation, back-translation, conciliation and pilot studies. Patients with a diagnosis of patellofemoral pain and/or osteoarthritis from one medical center were invited to participate and complete the questionnaire. The evaluation of the score included internal consistency (Cronbach´s alpha), floor and ceiling effects, measurement error, minimal detectable change and minimal important change. For test-retest reliability, the intraclass correlation coefficient (ICC) was used, and for responsiveness, the global rating of change (GROC) scale was measured one month later.Results: Sixty patients with patellofemoral pain and/or osteoarthritis were included in the study. The Spanish version showed very good internal consistency (Cronbach’s alpha: 0.93) and test-retest reliability (intraclass correlation coefficient: 0.82). Responsiveness was confirmed, with the KOOS-PF demonstrating a strong correlation with the GROC score (r 0.64). The minimal detectable change was 11.1 points, the minimal important change was 17.2 points, and there were no floor or ceiling effects for the score.Conclusions: The Spanish version of the KOOS-PF demonstrated very good measurement properties, including internal consistency, reliability and responsiveness. The KOOS-PF can be used in Spanish-speaking patients for clinical and research purposes in patellofemoral pain and osteoarthritis.Trial registration: Fundación Valle del Lili, Biomedical Research Ethical Committee: No. 01438.



2016 ◽  
Vol 21 (2) ◽  
pp. 165-172 ◽  
Author(s):  
Jacqueline J. Suijker ◽  
M. van Rijn ◽  
G. ter Riet ◽  
E. P. Moll van Charante ◽  
S. E. de Rooij ◽  
...  


Author(s):  
Berend Terluin ◽  
Ewa M. Roos ◽  
Caroline B. Terwee ◽  
Jonas B. Thorlund ◽  
Lina H. Ingelsrud

Abstract Purpose The minimal important change (MIC) of a patient-reported outcome measure (PROM) is often suspected to be baseline dependent, typically in the sense that patients who are in a poorer baseline health condition need greater improvement to qualify as minimally important. Testing MIC baseline dependency is commonly performed by creating two or more subgroups, stratified on the baseline PROM score. This study’s purpose was to show that this practice produces biased subgroup MIC estimates resulting in spurious MIC baseline dependency, and to develop alternative methods to evaluate MIC baseline dependency. Methods Datasets with PROM baseline and follow-up scores and transition ratings were simulated with and without MIC baseline dependency. Mean change MICs, ROC-based MICs, predictive MICs, and adjusted MICs were estimated before and after stratification on the baseline score. Three alternative methods were developed and evaluated. The methods were applied in a real data example for illustration. Results Baseline stratification resulted in biased subgroup MIC estimates and the false impression of MIC baseline dependency, due to redistribution of measurement error. Two of the alternative methods require a second baseline measurement with the same PROM or another correlated PROM. The third method involves the construction of two parallel tests based on splitting the PROM’s item set. Two methods could be applied to the real data. Conclusion MIC baseline dependency should not be tested in subgroups based on stratification on the baseline PROM score. Instead, one or more of the suggested alternative methods should be used.



2021 ◽  
pp. 026921552110521
Author(s):  
Jessica Kersey ◽  
Lauren Terhorst ◽  
Joy Hammel ◽  
Carolyn Baum ◽  
Joan Toglia ◽  
...  

Objective This study determined the sensitivity to change of the Enfranchisement scale of the Community Participation Indicators in people with stroke. Data sources We analyzed data from two studies of participants with stroke: an intervention study and an observational study. Main measures The Enfranchisement Scale contains two subscales: the Importance subscale (feeling valued by and contributing to the community; range: 14–70) and the Control subscale (choice and control: range: 13–64). Data analysis Assessments were administered 6 months apart. We calculated minimum detectable change and minimal clinically important difference. Results The Control subscale analysis included 121 participants with a mean age of 61.2 and mild-moderate disability (Functional Independence Measure, mean = 97.9, SD = 24.7). On the Control subscale, participants had a mean baseline score of 51.4 (SD = 10.4), and little mean change (1.3) but with large variation in change scores (SD = 11.5). We found a minimum detectable change of 9 and a minimum clinically important difference of 6. The Importance subscale analysis included 116 participants with a mean age of 60.7 and mild-moderate disability (Functional Independence Measure, mean = 98.9, SD = 24.5). On the Importance subscale, participants had a mean baseline score of 44.1 (SD = 12.7), and again demonstrated little mean change (1.08) but with large variation in change scores (SD = 12.6). We found a minimum detectable change of 11 and a minimum clinically important difference 7. Conclusions The Control subscale required 9 points of change, and the Importance subscale required 11 points of change, to achieve statistically and clinically meaningful changes, suggesting adequate sensitivity to change.



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