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Record W3038466342 · doi:10.1080/09638288.2020.1785022

Measuring treatment outcome in children with developmental coordination disorder; responsiveness of six outcome measures

2020· article· en· W3038466342 on OpenAlexaboutno aff
Inge Heus, Daphne Weezenberg, Sebastiaan Severijnen, T. P. M. Vliet Vlieland, Menno van der Holst

Bibliographic record

VenueDisability and Rehabilitation · 2020
Typearticle
Languageen
FieldPsychology
TopicChildren's Physical and Motor Development
Canadian institutionsnot available
Fundersnot available
KeywordsOutcome (game theory)PsychologyDevelopmental psychologyClinical psychologyMedicine

Abstract

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PURPOSE: Although measuring outcome of rehabilitation in children with Developmental Coordination Disorder is considered important no consensus exists on which instruments to use. An important attribute of a measurement instrument would be that it is sensitive to clinical changes. The aim of this prospective, observational study was therefore to investigate the responsiveness of six potentially suitable instruments. METHODS: Forty-one children (34 boys, median age 7.8 years, Inter Quartile Range: 7.2-9.2) receiving multidisciplinary rehabilitation treatment for Developmental Coordination Disorder were included (mean treatment time: 32.8 h, Standard Deviation 7.3). The following instruments were applied before and after rehabilitation: Movement-Asessment-Battery-Children-2 (MABC-2), Canadian Occupational Performance Measure (COPM), Systematic detection writing problems (SOS-2-NL), DCD-daily, Behaviour Rating Inventory of Executive Function (BRIEF), and TNO-AZL children's Quality of Life questionnaire (TACQOL)). Change-scores (paired t-test/Wilcoxon-test) and responsiveness (Effect-sizes and Standardized-Response-Means) were calculated. RESULTS: < 0.05). The responsiveness of these instruments was moderate-high (Canadian Occupational Performance Measure-performance Effect-Size:1.70/Standardized-Response-Mean:1.81, Canadian Occupational Performance Measure-satisfaction Effect-Size:1.65/Standardized-Response-Mean 1.53; DCDdaily-total-score Effect-Size:0.40/Standardized-Response-Mean:0.62, DCDdaily-Quality-score Effect-Size:0.74/Standardized-Response-Mean:0.89, DCDdaily-time-score Effect-Size:0.21/Standardized-Response-Mean:0.43; MABC-2-total-score Effect-Size:0.42/Standardized-Response-Mean:0.43, MABC-2-Ball-skills-score Effect-Size:0.33/Standardized-Response-Mean:0.36). Systematic detection of writing problems (SOS-2-NL), Behaviour Rating Inventory of Executive Function (BRIEF) and TNO-AZL children's Quality of Life questionnaire (TACQOL) were not responsive to change. CONCLUSION: Although the Movement-Asessment-Battery-Children-2 test is the most widely used instrument when measuring rehabilitation outcome in Developmental Coordination Disorder, the Canadian Occupational Performance Measure and DCDdaily seem to be more responsive and constitute a valuable addition.Implications for rehabilitationCurrently, there is no consensus on the preferred measurement instruments to evaluate the outcomes of rehabilitation in children with Developmental Coordination Disorder.The responsiveness of the Canadian Occupational Performance Measure (COPM) was found to be large, of the DCDdaily moderate to large, and of the Movement-Assessment-Battery-Children-2 (MABC-2) small, whereas the systematic detection of writing problems (SOS-2-NL; Systematisch Opsporing Schrijfproblemen-2-NL), Behavior Rating Inventory of Executive Functioning (BRIEF) and TNO-AZL Questionnaire for Children's Health-Related Quality of Life (TACQOL) were not responsive to change.Although the Movement-Assessment-Battery-Children-2 (MABC-2) is commonly used in Developmental Coordination Disorder rehabilitation, applying the Canadian Occupational Performance Measure (COPM) and DCDdaily should be considered, as these instruments were more sensitive to clinical changes.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.608

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.038
GPT teacher head0.291
Teacher spread0.253 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations11
Published2020
Admission routes1
Has abstractyes

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