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Concurrent and Divergent Validity of The Clientu2019S intervention Priorities (Cip)U00A9 Tool in a Sample of individuals With Traumatic Brain injury : Preliminary Findings On An innovative Canadian instrument

2017· other· en· W6908580677 on OpenAlexaboutno aff

Bibliographic record

VenueBiblioBoard Library Catalog (Open Research Library) · 2017
Typeother
Languageen
FieldEngineering
TopicIndoor and Outdoor Localization Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsNeurorehabilitationTraumatic brain injuryRehabilitationIntervention (counseling)Acquired brain injuryScale (ratio)Concurrent validityAutonomyInterpersonal communicationSample (material)

Abstract

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Introduction: The Clientu2019s Intervention Priorities (CIP)u00a9 is a tool for the assessment of self-perceived functioning in daily life situations and for determining intervention priorities. It is based on an anthropological model of human development and disability (Disability Creation Process-DCP). Conceived on principles of active participation, empowerment, and autonomy during neurorehabilitation, the CIP is a person-centred collaborative tool for setting rehabilitation goals with individuals with traumatic brain injury (TBI). Objective: To investigate the concurrent and divergent validity of the CIP tool.Design: Cross-sectional descriptive study. Methods: Sixty-four individuals with TBI with a mean age of 39.6 (SD=14.1) years and 4.3 (SD=3.7) months post-injury were recruited at admission to the outpatient TBI rehabilitation program of an interdisciplinary neurorehabilitation centre in Montreal, Canada. The majority were men (57.8%), either single (43.8%) or married (42.2%), having sustained a moderate TBI (45.3%). Using the CIP tool, individuals were asked to judge their degree of functioning in 41 everyday/life situations corresponding to 12 categories (Daily Activities, 21 items: nutrition, fitness, personal care, communication, housing, mobility; Social Roles, 20 items: responsibilities, interpersonal relationships, community life, education, employment, recreation) reflecting the DCP model. A five-point Likert-type response scale ranging from 1- u201cI do not do it because of my present condition u2013 somebody else does it for meu201d to 5- u201cI do it alone, without difficultyu201d was used. The CIP tool scores (Daily Activities and Social Roles subscales, and the total CIP total score) were calculated. The Mayo-Portland Adaptability Inventory-4 (MPAI-4) (indices of Ability, Adjustment, Participation, and the MPAI-4 total score, higher scores correspond to lower levels of functioning) was used as the criterion for convergent validity and a composite score of the MPAI-4 addressing associated conditions (i.e., alcohol and drug use, psychotic symptoms, and law violations) was used to estimate divergent validity. Results: There was a statistically significant strong negative (as expected) correlation between the total score of the CIP tool and the total score of the MPAI-4 (r = -.56, p < .01). Conversely, the CIP did not show statistically significant associations with a composite score of the MPAI-4 addressing associated conditions (r = -.14, p > .05). The CIP Daily Activities subscale and the Social Roles subscale showed medium to large negative associations with the three subscales of the MPAI-4 (ru2019s ranging from -.41 to -.55, p < .01).Conclusions: The CIP tool has strong concurrent and divergent validity in individuals with mild to severe TBI, as shown by its relationships to a widely accepted social participation outcome measure in brain injury. The CIP tool is a theoretically grounded tool with excellent psychometric properties to assist individuals with TBI and their rehabilitation professionals in the self-assessment of life habits and setting of common rehabilitation goals.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.187
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0070.004
Science and technology studies0.0000.001
Scholarly communication0.0000.002
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.073
GPT teacher head0.326
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.

Study designNot applicable
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

Citations0
Published2017
Admission routes1
Has abstractyes

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