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Record W3112950620 · doi:10.1177/0008417420968680

Parents’ Experience with the CO-OP Approach: A Consolidation of Three Qualitative Investigations

2020· article· en· W3112950620 on OpenAlexfundvenueno aff
Rose Martini, Julie Capistran, Jazz Centauro, Eva Coego, Mayoore Nadarajah, Josée Venne, Jill G. Zwicker

Bibliographic record

VenueCanadian Journal of Occupational Therapy · 2020
Typearticle
Languageen
FieldPsychology
TopicChildren's Physical and Motor Development
Canadian institutionsnot available
FundersCanadian Institutes of Health ResearchBC Children's HospitalMichael Smith Health Research BCSunny Hill FoundationCanadian Occupational Therapy FoundationCanadian Child Health Clinician Scientist Program
KeywordsQualitative researchPsychologyFeelingIntervention (counseling)Developmental psychologyFocus groupOccupational therapyConsolidation (business)Clinical psychologyPsychotherapistSocial psychologyPsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND.: In the cognitive orientation to daily occupational performance (CO-OP) approach, parent involvement is critical for transferring skills from therapeutic settings to everyday contexts. PURPOSE.: This study aimed to gain insight into the experience of parents whose children with developmental coordination disorder participated in CO-OP intervention. METHOD.: This consolidation of three small qualitative studies investigating parents' experience involved an inductive qualitative content analysis of 10 parent interviews and 1 parent focus group. FINDINGS.: Four overarching themes emerged as depicting parents' experience. Although parents recognized the improvements their children made with the intervention, they also expressed several challenges, such as incorporating CO-OP tasks into daily routines, shifting of parent-child relationship and feeling self-efficacious with the approach. IMPLICATIONS.: This study highlights that parent observation of intervention sessions is not enough to support parents applying CO-OP at home. Research is needed to understand how to best engage parents in the CO-OP approach.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.721
Threshold uncertainty score0.348

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 head0.251
GPT teacher head0.402
Teacher spread0.150 · 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".

Quick stats

Citations9
Published2020
Admission routes2
Has abstractyes

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