Reliable Change Index

2018 ◽  
pp. 1-4
Author(s):  
Grant L. Iverson
Keyword(s):  
Reliable Change Index ◽  
Reliable Change

Die Wirksamkeit eines Frühinterventionsprogramms für Jugendliche mit Computerspiel- und Internetabhängigkeit: Mittelfristige Effekte der PROTECT+ Studie

2020 ◽  
Vol 48 (1) ◽  
pp. 3-14 ◽  
Author(s):  
Carolin Szász-Janocha ◽  
Eva Vonderlin ◽  
Katajun Lindenberg
Keyword(s):  
Internet Use ◽  
Health Problems ◽  
Reliable Change Index ◽  
Gaming Disorder ◽  
Statistical Classification ◽  
Reliable Change ◽  
Classification Of Diseases ◽  
International Statistical Classification

Zusammenfassung. Fragestellung: Das junge Störungsbild der Computerspiel- und Internetabhängigkeit hat in den vergangenen Jahren in der Forschung zunehmend an Aufmerksamkeit gewonnen. Durch die Aufnahme der „Gaming Disorder“ in die ICD-11 (International Statistical Classification of Diseases and Related Health Problems) wurde die Notwendigkeit von evidenzbasierten und wirksamen Interventionen avanciert. PROTECT+ ist ein kognitiv-verhaltenstherapeutisches Gruppentherapieprogramm für Jugendliche mit Symptomen der Computerspiel- und Internetabhängigkeit. Die vorliegende Studie zielt auf die Evaluation der mittelfristigen Effekte nach 4 Monaten ab. Methodik: N = 54 Patientinnen und Patienten im Alter von 9 bis 19 Jahren (M = 13.48; SD = 1.72) nahmen an der Frühinterventionsstudie zwischen April 2016 und Dezember 2017 in Heidelberg teil. Die Symptomschwere wurde zu Beginn, zum Abschluss der Gruppentherapie sowie nach 4 Monaten anhand von standardisierten Diagnostikinstrumenten erfasst. Ergebnisse: Mehrebenenanalysen zeigten eine signifikante Reduktion der Symptomschwere anhand der Computerspielabhängigkeitsskala (CSAS) nach 4 Monaten. Im Selbstbeurteilungsbogen zeigte sich ein kleiner Effekt (d = 0.35), im Elternurteil ein mittlerer Effekt (d = 0.77). Der Reliable Change Index, der anhand der Compulsive Internet Use Scale (CIUS) berechnet wurde, deutete auf eine starke Heterogenität im individuellen Symptomverlauf hin. Die Patientinnen und Patienten bewerteten das Programm zu beiden Follow-Up-Messzeitpunkten mit einer hohen Zufriedenheit. Schlussfolgerungen: Die vorliegende Arbeit stellt international eine der wenigen Studien dar, die eine Reduktion der Symptome von Computerspiel- und Internetabhängigkeit im Jugendalter über 4 Monate belegen konnte.

scholarly journals Novel Approach to Estimate Osteoarthritis Progression: Use of the Reliable Change Index in the Evaluation of Joint Space Loss

2019 ◽  
Vol 71 (2) ◽  
pp. 300-307 ◽  
Author(s):  
Camille M. Parsons ◽  
Andrew Judge ◽  
Kirsten Leyland ◽  
Olivier Bruyère ◽  
Florence Petit Dop ◽  
...  
Keyword(s):  
Joint Space ◽  
Reliable Change Index ◽  
Reliable Change ◽  
Novel Approach ◽  
Osteoarthritis Progression ◽  
Joint Space Loss

scholarly journals Validating the Reliable Change Index with Tensor-Based Morphometry: the ADNI-MEM and the ADNI-EF

2019 ◽  
Vol 34 (6) ◽  
pp. 847-847
Author(s):  
S Lin ◽  
E Fletcher ◽  
B Gavett
Keyword(s):  
Neuropsychological Test ◽  
Regional Analysis ◽  
Brain Regions ◽  
Reliable Change Index ◽  
Cognitive Test ◽  
Parahippocampal Gyrus ◽  
Reliable Change ◽  
Confounding Variables ◽  
One Year ◽  
Neuroanatomical Data

Abstract Objective The Reliable Change Index (RCI) is a commonly used method for interpreting change in neuropsychological test scores over time. However, the RCI is a psychometric phenomenon that, to date, has not been validated by neuroanatomical evidence. Method Longitudinal neuroimaging and neuropsychological data from baseline and one-year follow-up visits were retrieved from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database. The RCI was used to identify participants showing reliable decline on ADNI-MEM and ADNI-EF factor scores, which provide composite measures of memory and executive functioning, respectively. For each cognitive test score, two groups (reliable change vs. no reliable change) were matched on potential confounding variables using a genetic algorithm. Longitudinal neuroanatomical data were analyzed using tensor-based morphometry. Results Whole brain analysis revealed that reliable change on ADNI-MEM was associated with extended atrophy of the temporal lobe, the parahippocampal gyrus, the entorhinal cortex, and the posterior cingulate gyrus (Left Figure). Similar extended atrophy patterns were found for reliable change on ADNI-EF, except that the atrophy was more extensive and of higher magnitude (Right Figure). Regional analysis further confirmed that in such brain regions, the reliable change group manifested higher grey matter loss than the no change group. Conclusion The current study not only validated clinical usage of the RCI with neuroanatomical evidence but also practically suggested patterns of likely brain atrophy when reliable cognitive decline is detected.

scholarly journals The Development of a Reliable Change Index and Cutoff for the Revised Dyadic Adjustment Scale

2014 ◽  
Vol 40 (4) ◽  
pp. 525-534 ◽  
Author(s):  
Shayne R. Anderson ◽  
Rachel B. Tambling ◽  
Scott C. Huff ◽  
Joy Heafner ◽  
Lee N. Johnson ◽  
...  
Keyword(s):  
Dyadic Adjustment ◽  
Reliable Change Index ◽  
Reliable Change ◽  
Dyadic Adjustment Scale

Detecting significant change in neuropsychological test performance: A comparison of four models

1999 ◽  
Vol 5 (4) ◽  
pp. 357-369 ◽  
Author(s):  
NANCY R. TEMKIN ◽  
ROBERT K. HEATON ◽  
IGOR GRANT ◽  
SUREYYA S. DIKMEN
Keyword(s):  
Multiple Regression ◽  
Confidence Intervals ◽  
Test Performance ◽  
Neuropsychological Test ◽  
Error Rates ◽  
Practice Effect ◽  
Reliable Change Index ◽  
Reliable Change ◽  
The Individual

A major use of neuropsychological assessment is to measure changes in functioning over time; that is, to determine whether a difference in test performance indicates a real change in the individual or just chance variation. Using 7 illustrative test measures and retest data from 384 neurologically stable adults, this paper compares different methods of predicting retest scores, and of determining whether observed changes in performance are unusual. The methods include the Reliable Change Index, with and without correction for practice effect, and models based upon simple and multiple regression. For all test variables, the most powerful predictor of follow-up performance was initial performance. Adding demographic variables and overall neuropsychological competence at baseline significantly but slightly improved prediction of all follow-up scores. The simple Reliable Change Index without correction for practice performed least well, with high error rates and large prediction intervals (confidence intervals). Overall prediction accuracy was similar for the other three methods; however, different models produce large differences in predicted scores for some individuals, especially those with extremes of initial test performance, overall competency, or demographics. All 5 measures from the Halstead–Reitan Battery had residual (observed − predicted score) variability that increased with poorer initial performance. Two variables showed significant nonnormality in the distribution of residuals. For accurate prediction with smallest prediction–confidence intervals, we recommend multiple regression models with attention to differential variability and nonnormality of residuals. (JINS, 1999, 5, 357–369.)

scholarly journals PMC19 USE OF THE RELIABLE CHANGE INDEX TO EVALUATE CLINICAL SIGNIFICANCE IN HEART TRANSPLANTS

2007 ◽  
Vol 10 (6) ◽  
pp. A456
Author(s):  
T Ortega ◽  
C Valdés ◽  
B Diaz Molina ◽  
M Iscar ◽  
F Ortega
Keyword(s):  
Clinical Significance ◽  
Reliable Change Index ◽  
Heart Transplants ◽  
Reliable Change
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