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A 'learning platform' approach to outcome measurement in fragile X syndrome: a preliminary psychometric study

Background  Clinical trials of medications to alleviate the cognitive and behavioural symptoms of individuals with fragile X syndrome (FXS) are now underway. However, there are few reliable, valid and/or sensitive outcome measures available that can be directly administered to individuals with FXS....

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Published in:Journal of intellectual disability research 2012-10, Vol.56 (10), p.947-960
Main Authors: Hall, S. S., Hammond, J. L., Hirt, M., Reiss, A. L.
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Hammond, J. L.
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description Background  Clinical trials of medications to alleviate the cognitive and behavioural symptoms of individuals with fragile X syndrome (FXS) are now underway. However, there are few reliable, valid and/or sensitive outcome measures available that can be directly administered to individuals with FXS. The majority of assessments employed in clinical trials may be suboptimal for individuals with intellectual disability (ID) because they require face‐to‐face interaction with an examiner, taxing administration periods, and do not provide reinforcement and/or feedback during the test. We therefore examined the psychometric properties of a new computerised ‘learning platform’ approach to outcome measurement in FXS. Method  A brief computerised test, incorporated into the Discrete Trial Trainer©– a commercially available software program designed for children with ID – was administered to 13 girls with FXS, 12 boys with FXS and 15 matched ID controls aged 10 to 23 years (mental age = 4 to 12 years). The software delivered automated contingent access to reinforcement, feedback, token delivery and prompting procedures (if necessary) on each trial to facilitate responding. The primary outcome measure was the participant's learning rate, derived from the participant's cumulative record of correct responses. Results  All participants were able to complete the test and floor effects appeared to be minimal. Learning rates averaged approximately five correct responses per minute, ranging from one to eight correct responses per minute in each group. Test–retest reliability of the learning rates was 0.77 for girls with FXS, 0.90 for boys with FXS and 0.90 for matched ID controls. Concurrent validity with raw scores obtained on the Arithmetic subtest of the Wechsler Intelligence Scale for Children‐III was 0.35 for girls with FXS, 0.80 for boys with FXS and 0.56 for matched ID controls. The learning rates were also highly sensitive to change, with effect sizes of 1.21, 0.89 and 1.47 in each group respectively following 15 to 20, 15‐min sessions of intensive discrete trial training conducted over 1.5 days. Conclusions  These results suggest that a learning platform approach to outcome measurement could provide investigators with a reliable, valid and highly sensitive measure to evaluate treatment efficacy, not only for individuals with FXS but also for individuals with other ID.
doi_str_mv 10.1111/j.1365-2788.2012.01560.x
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S. ; Hammond, J. L. ; Hirt, M. ; Reiss, A. L.</creator><creatorcontrib>Hall, S. S. ; Hammond, J. L. ; Hirt, M. ; Reiss, A. L.</creatorcontrib><description>Background  Clinical trials of medications to alleviate the cognitive and behavioural symptoms of individuals with fragile X syndrome (FXS) are now underway. However, there are few reliable, valid and/or sensitive outcome measures available that can be directly administered to individuals with FXS. The majority of assessments employed in clinical trials may be suboptimal for individuals with intellectual disability (ID) because they require face‐to‐face interaction with an examiner, taxing administration periods, and do not provide reinforcement and/or feedback during the test. We therefore examined the psychometric properties of a new computerised ‘learning platform’ approach to outcome measurement in FXS. Method  A brief computerised test, incorporated into the Discrete Trial Trainer©– a commercially available software program designed for children with ID – was administered to 13 girls with FXS, 12 boys with FXS and 15 matched ID controls aged 10 to 23 years (mental age = 4 to 12 years). The software delivered automated contingent access to reinforcement, feedback, token delivery and prompting procedures (if necessary) on each trial to facilitate responding. The primary outcome measure was the participant's learning rate, derived from the participant's cumulative record of correct responses. Results  All participants were able to complete the test and floor effects appeared to be minimal. Learning rates averaged approximately five correct responses per minute, ranging from one to eight correct responses per minute in each group. Test–retest reliability of the learning rates was 0.77 for girls with FXS, 0.90 for boys with FXS and 0.90 for matched ID controls. Concurrent validity with raw scores obtained on the Arithmetic subtest of the Wechsler Intelligence Scale for Children‐III was 0.35 for girls with FXS, 0.80 for boys with FXS and 0.56 for matched ID controls. The learning rates were also highly sensitive to change, with effect sizes of 1.21, 0.89 and 1.47 in each group respectively following 15 to 20, 15‐min sessions of intensive discrete trial training conducted over 1.5 days. Conclusions  These results suggest that a learning platform approach to outcome measurement could provide investigators with a reliable, valid and highly sensitive measure to evaluate treatment efficacy, not only for individuals with FXS but also for individuals with other ID.</description><identifier>ISSN: 0964-2633</identifier><identifier>EISSN: 1365-2788</identifier><identifier>DOI: 10.1111/j.1365-2788.2012.01560.x</identifier><identifier>PMID: 22533667</identifier><identifier>CODEN: JIDREN</identifier><language>eng</language><publisher>Oxford, UK: Blackwell Publishing Ltd</publisher><subject>Adolescent ; Adult and adolescent clinical studies ; behavioural measurement methods ; Biological and medical sciences ; Child ; Children ; Clinical trials ; cognitive behaviour ; Comparative Analysis ; Computer Assisted Testing ; Computer Software ; Drug Therapy ; Effect Size ; Feasibility Studies ; Feedback ; Feedback (Response) ; Female ; Females ; fragile X ; Fragile X syndrome ; Fragile X Syndrome - complications ; Fragile X Syndrome - psychology ; Genetic Disorders ; Humans ; Intellectual deficiency ; intellectual disability ; Intellectual Disability - complications ; Intellectual Disability - diagnosis ; Intellectual Disability - psychology ; Intelligence Tests - statistics &amp; numerical data ; Learning ; Learning disabilities ; Learning Processes ; Male ; Males ; Measurement ; Medical sciences ; Mental Age ; Mental Retardation ; Neuropsychological Tests - statistics &amp; numerical data ; Outcome Assessment, Health Care - methods ; Outcome Assessment, Health Care - statistics &amp; numerical data ; Outcome Measures ; Psychological tests ; Psychology. Psychoanalysis. Psychiatry ; Psychometrics ; Psychopathology. Psychiatry ; Raw Scores ; Reinforcement ; Reproducibility of Results ; Research Methodology ; Response rates ; Software ; Test Validity ; Treatment Outcome ; Validity ; Wechsler Intelligence Scale for Children III ; Young Adult</subject><ispartof>Journal of intellectual disability research, 2012-10, Vol.56 (10), p.947-960</ispartof><rights>2012 The Authors. Journal of Intellectual Disability Research © 2012 Blackwell Publishing Ltd</rights><rights>2015 INIST-CNRS</rights><rights>2012 The Authors. Journal of Intellectual Disability Research © 2012 Blackwell Publishing Ltd.</rights><rights>Copyright Blackwell Publishing Ltd. 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S.</creatorcontrib><creatorcontrib>Hammond, J. L.</creatorcontrib><creatorcontrib>Hirt, M.</creatorcontrib><creatorcontrib>Reiss, A. L.</creatorcontrib><title>A 'learning platform' approach to outcome measurement in fragile X syndrome: a preliminary psychometric study</title><title>Journal of intellectual disability research</title><addtitle>J Intellect Disabil Res</addtitle><description>Background  Clinical trials of medications to alleviate the cognitive and behavioural symptoms of individuals with fragile X syndrome (FXS) are now underway. However, there are few reliable, valid and/or sensitive outcome measures available that can be directly administered to individuals with FXS. The majority of assessments employed in clinical trials may be suboptimal for individuals with intellectual disability (ID) because they require face‐to‐face interaction with an examiner, taxing administration periods, and do not provide reinforcement and/or feedback during the test. We therefore examined the psychometric properties of a new computerised ‘learning platform’ approach to outcome measurement in FXS. Method  A brief computerised test, incorporated into the Discrete Trial Trainer©– a commercially available software program designed for children with ID – was administered to 13 girls with FXS, 12 boys with FXS and 15 matched ID controls aged 10 to 23 years (mental age = 4 to 12 years). The software delivered automated contingent access to reinforcement, feedback, token delivery and prompting procedures (if necessary) on each trial to facilitate responding. The primary outcome measure was the participant's learning rate, derived from the participant's cumulative record of correct responses. Results  All participants were able to complete the test and floor effects appeared to be minimal. Learning rates averaged approximately five correct responses per minute, ranging from one to eight correct responses per minute in each group. Test–retest reliability of the learning rates was 0.77 for girls with FXS, 0.90 for boys with FXS and 0.90 for matched ID controls. Concurrent validity with raw scores obtained on the Arithmetic subtest of the Wechsler Intelligence Scale for Children‐III was 0.35 for girls with FXS, 0.80 for boys with FXS and 0.56 for matched ID controls. The learning rates were also highly sensitive to change, with effect sizes of 1.21, 0.89 and 1.47 in each group respectively following 15 to 20, 15‐min sessions of intensive discrete trial training conducted over 1.5 days. Conclusions  These results suggest that a learning platform approach to outcome measurement could provide investigators with a reliable, valid and highly sensitive measure to evaluate treatment efficacy, not only for individuals with FXS but also for individuals with other ID.</description><subject>Adolescent</subject><subject>Adult and adolescent clinical studies</subject><subject>behavioural measurement methods</subject><subject>Biological and medical sciences</subject><subject>Child</subject><subject>Children</subject><subject>Clinical trials</subject><subject>cognitive behaviour</subject><subject>Comparative Analysis</subject><subject>Computer Assisted Testing</subject><subject>Computer Software</subject><subject>Drug Therapy</subject><subject>Effect Size</subject><subject>Feasibility Studies</subject><subject>Feedback</subject><subject>Feedback (Response)</subject><subject>Female</subject><subject>Females</subject><subject>fragile X</subject><subject>Fragile X syndrome</subject><subject>Fragile X Syndrome - complications</subject><subject>Fragile X Syndrome - psychology</subject><subject>Genetic Disorders</subject><subject>Humans</subject><subject>Intellectual deficiency</subject><subject>intellectual disability</subject><subject>Intellectual Disability - complications</subject><subject>Intellectual Disability - diagnosis</subject><subject>Intellectual Disability - psychology</subject><subject>Intelligence Tests - statistics &amp; numerical data</subject><subject>Learning</subject><subject>Learning disabilities</subject><subject>Learning Processes</subject><subject>Male</subject><subject>Males</subject><subject>Measurement</subject><subject>Medical sciences</subject><subject>Mental Age</subject><subject>Mental Retardation</subject><subject>Neuropsychological Tests - statistics &amp; numerical data</subject><subject>Outcome Assessment, Health Care - methods</subject><subject>Outcome Assessment, Health Care - statistics &amp; numerical data</subject><subject>Outcome Measures</subject><subject>Psychological tests</subject><subject>Psychology. 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S.</creator><creator>Hammond, J. L.</creator><creator>Hirt, M.</creator><creator>Reiss, A. L.</creator><general>Blackwell Publishing Ltd</general><general>Wiley-Blackwell</general><general>Wiley Subscription Services, Inc</general><scope>BSCLL</scope><scope>7SW</scope><scope>BJH</scope><scope>BNH</scope><scope>BNI</scope><scope>BNJ</scope><scope>BNO</scope><scope>ERI</scope><scope>PET</scope><scope>REK</scope><scope>WWN</scope><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QJ</scope><scope>7X8</scope><scope>7TK</scope><scope>5PM</scope></search><sort><creationdate>201210</creationdate><title>A 'learning platform' approach to outcome measurement in fragile X syndrome: a preliminary psychometric study</title><author>Hall, S. S. ; Hammond, J. L. ; Hirt, M. ; Reiss, A. 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Psychoanalysis. Psychiatry</topic><topic>Psychometrics</topic><topic>Psychopathology. Psychiatry</topic><topic>Raw Scores</topic><topic>Reinforcement</topic><topic>Reproducibility of Results</topic><topic>Research Methodology</topic><topic>Response rates</topic><topic>Software</topic><topic>Test Validity</topic><topic>Treatment Outcome</topic><topic>Validity</topic><topic>Wechsler Intelligence Scale for Children III</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hall, S. S.</creatorcontrib><creatorcontrib>Hammond, J. L.</creatorcontrib><creatorcontrib>Hirt, M.</creatorcontrib><creatorcontrib>Reiss, A. 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S.</au><au>Hammond, J. L.</au><au>Hirt, M.</au><au>Reiss, A. L.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><ericid>EJ979219</ericid><atitle>A 'learning platform' approach to outcome measurement in fragile X syndrome: a preliminary psychometric study</atitle><jtitle>Journal of intellectual disability research</jtitle><addtitle>J Intellect Disabil Res</addtitle><date>2012-10</date><risdate>2012</risdate><volume>56</volume><issue>10</issue><spage>947</spage><epage>960</epage><pages>947-960</pages><issn>0964-2633</issn><eissn>1365-2788</eissn><coden>JIDREN</coden><abstract>Background  Clinical trials of medications to alleviate the cognitive and behavioural symptoms of individuals with fragile X syndrome (FXS) are now underway. However, there are few reliable, valid and/or sensitive outcome measures available that can be directly administered to individuals with FXS. The majority of assessments employed in clinical trials may be suboptimal for individuals with intellectual disability (ID) because they require face‐to‐face interaction with an examiner, taxing administration periods, and do not provide reinforcement and/or feedback during the test. We therefore examined the psychometric properties of a new computerised ‘learning platform’ approach to outcome measurement in FXS. Method  A brief computerised test, incorporated into the Discrete Trial Trainer©– a commercially available software program designed for children with ID – was administered to 13 girls with FXS, 12 boys with FXS and 15 matched ID controls aged 10 to 23 years (mental age = 4 to 12 years). The software delivered automated contingent access to reinforcement, feedback, token delivery and prompting procedures (if necessary) on each trial to facilitate responding. The primary outcome measure was the participant's learning rate, derived from the participant's cumulative record of correct responses. Results  All participants were able to complete the test and floor effects appeared to be minimal. Learning rates averaged approximately five correct responses per minute, ranging from one to eight correct responses per minute in each group. Test–retest reliability of the learning rates was 0.77 for girls with FXS, 0.90 for boys with FXS and 0.90 for matched ID controls. Concurrent validity with raw scores obtained on the Arithmetic subtest of the Wechsler Intelligence Scale for Children‐III was 0.35 for girls with FXS, 0.80 for boys with FXS and 0.56 for matched ID controls. The learning rates were also highly sensitive to change, with effect sizes of 1.21, 0.89 and 1.47 in each group respectively following 15 to 20, 15‐min sessions of intensive discrete trial training conducted over 1.5 days. 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subjects Adolescent
Adult and adolescent clinical studies
behavioural measurement methods
Biological and medical sciences
Child
Children
Clinical trials
cognitive behaviour
Comparative Analysis
Computer Assisted Testing
Computer Software
Drug Therapy
Effect Size
Feasibility Studies
Feedback
Feedback (Response)
Female
Females
fragile X
Fragile X syndrome
Fragile X Syndrome - complications
Fragile X Syndrome - psychology
Genetic Disorders
Humans
Intellectual deficiency
intellectual disability
Intellectual Disability - complications
Intellectual Disability - diagnosis
Intellectual Disability - psychology
Intelligence Tests - statistics & numerical data
Learning
Learning disabilities
Learning Processes
Male
Males
Measurement
Medical sciences
Mental Age
Mental Retardation
Neuropsychological Tests - statistics & numerical data
Outcome Assessment, Health Care - methods
Outcome Assessment, Health Care - statistics & numerical data
Outcome Measures
Psychological tests
Psychology. Psychoanalysis. Psychiatry
Psychometrics
Psychopathology. Psychiatry
Raw Scores
Reinforcement
Reproducibility of Results
Research Methodology
Response rates
Software
Test Validity
Treatment Outcome
Validity
Wechsler Intelligence Scale for Children III
Young Adult
title A 'learning platform' approach to outcome measurement in fragile X syndrome: a preliminary psychometric study
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