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Record W2020488041 · doi:10.3109/01942638.2010.523450

Information Sharing During Diagnostic Assessments: What Is Relevant for Parents?

2010· article· en· W2020488041 on OpenAlexafffund
Sheryl Klein, Kerry Wynn, Lynne Ray, Lori Demeriez, Patricia LaBerge, Jacqueline Pei, Cherie St. Pierre

Bibliographic record

VenuePhysical & Occupational Therapy In Pediatrics · 2010
Typearticle
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsUniversity of AlbertaGlenrose Rehabilitation Hospital
FundersGlenrose Rehabilitation Hospital Foundation
KeywordsPsychologyMedicine

Abstract

fetched live from OpenAlex

ABSTRACT This descriptive qualitative study facilitates the application of family-centered care within a tertiary care interdisciplinary neurodevelopmental diagnostic assessment clinic by furthering an understanding of parent perceptions of the relevance of diagnostic information provision. An interdisciplinary assessment team completed an open-ended questionnaire to describe parent information provision. Parents from 9 families completed in-depth parent interviews following clinic attendance to discuss perceptions of information received. Interviews were audiotaped, transcribed, and coded by related themes. Parents did not perceive the information in the way professionals expected. Parents acknowledged receipt of comprehensive information relevant to the diagnosis but indicated that not all their needs were met. During the interviews, parents described the assessment process, preassessment information, and "steps in their journey." They noted that a strength-based approach and a focus on parental competency would support their coping efforts. Results underscore the need for professionals to be attentive to parents' individualized needs.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.020
metaresearch head score (Gemma)0.063
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.105

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0200.063
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0050.004
Scholarly communication0.0050.006
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.386
Teacher spread0.348 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations20
Published2010
Admission routes2
Has abstractyes

Explore more

Same venuePhysical & Occupational Therapy In PediatricsSame topicChildhood Cancer Survivors' Quality of LifeFrench-language works237,207