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Record W2896296877 · doi:10.1080/13561820.2018.1531833

Parents as partners: investigating the role(s) of mothers in coordinating health and education activities for children with chronic care needs

2018· article· en· W2896296877 on OpenAlexaff
Catherine M. Giroux, Lindsay A. Wilson, Julie K. Corkett

Bibliographic record

VenueJournal of Interprofessional Care · 2018
Typearticle
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsNipissing UniversityUniversity of Ottawa
Fundersnot available
KeywordsHealth professionalsPerceptionHealth careNursingPsychologyContent analysisMedical educationMedicine

Abstract

fetched live from OpenAlex

Interprofessional collaboration (IPC) between health professionals, and educators is an essential component of academic success and well-being for children who experience chronic illnesses. This study sought to understand parents' roles in and perceptions of IPC between their child's healthcare professionals and educators. We recruited 23 mothers to participate in our study. Data were analyzed using a combination of univariate analyses and content analysis. Overall, parents reported that they could effectively communicate their child's health and educational needs with health and educational professionals, but statistical analysis determined moderately increased challenges presenting information across professions. Most participants (n = 19) indicated that IPC between health and educational professionals could be improved. Effectively engaging parents as partners in IPC can promote more seamless collaboration and communication of a child's needs and offer a greater likelihood of achieving a child's health and educational 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)0.000
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.656
Threshold uncertainty score0.995

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.018
GPT teacher head0.437
Teacher spread0.419 · 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 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

Citations9
Published2018
Admission routes1
Has abstractyes

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