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Record W4392551898 · doi:10.1111/jan.16095

Youth, caregiver and healthcare professional perspectives on planning the implementation of a trauma‐informed care programme: A qualitative study

2024· article· en· W4392551898 on OpenAlexaff
Yehudis Stokes, Paula Cloutier, Dhiraj Aggarwal, Jean Daniel Jacob, Erin P. Hambrick, Andrea C. Tricco, Michelle K. Ward, Allison Kennedy, Stephanie L. Greenham, Marjorie Robb, Roxanna Sheppard, David J. Murphy, Jennifer Boggett, Ian D. Graham, Krystina B. Lewis

Bibliographic record

VenueJournal of Advanced Nursing · 2024
Typearticle
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsPublic Health OntarioQueen's UniversitySt. Michael's HospitalChildren's Hospital of Eastern OntarioUniversity of TorontoAgricultural Research Institute of OntarioOttawa HospitalPrincess Margaret Cancer CentreUniversity of Ottawa
Fundersnot available
KeywordsThematic analysisNursingMental healthPsychologyUnit (ring theory)Health careQualitative researchMedicinePsychiatrySociology

Abstract

fetched live from OpenAlex

AIMS: To explore youth, caregiver and staff perspectives on their vision of trauma-informed care, and to identify and understand potential considerations for the implementation of a trauma-informed care programme in an inpatient mental health unit within a paediatric hospital. DESIGN AND METHODS: We applied the Interpretive Description approach, guided by complexity theory and the Implementation Roadmap, and used Applied Thematic Analysis methods. FINDINGS: Twenty-five individuals participated in individual or group interviews between March and June 2022, including 21 healthcare professionals, 3 youth and 1 caregiver. We identified two overarching themes. The first theme, 'Understanding and addressing the underlying reasons for distress', related to participants' understanding and vision of TIC in the current setting comprising: (a) 'Participants' understanding of TIC'; (b) 'Trauma screening and trauma processing within TIC'; (c) 'Taking "a more individualized approach"'; (d) 'Unit programming'; and (e) "Connecting to the community". The second theme, 'Factors that support or limit successful TIC implementation' comprises: (a) 'The need for a broad "cultural shift"'; (b) 'The physical environment on the unit'; and (c) 'Factors that may limit successful implementation'. CONCLUSION: We identified five key domains to consider within trauma-informed care implementation: (a) the centrality of engagement with youth, caregivers and staff in trauma-informed care delivery and implementation, (b) trauma-informed care core programme components, (c) factors that may support or limit success in implementing trauma-informed care within the mental health unit and (d) hospital-wide and (e) the importance of intersectoral collaboration (partnering with external organizations and sectors). IMPACT: When implementing TIC, there is an ongoing need to increase clarity regarding TIC interventions and implementation initiatives. Youth, caregiver and healthcare professional participants shared considerations important for planning the delivery and implementation of trauma-informed care in their setting. We identified five key domains to consider within trauma-informed care implementation: (a) the centrality of relational engagement, (b) trauma-informed care programme components, (c) factors that may support or limit successful implementation of trauma-informed care within the mental health unit and (d) hospital-wide and (e) the importance of intersectoral collaboration. Organizations wishing to implement trauma-informed care should consider ongoing engagement with all relevant knowledge user groups throughout the process. REPORTING METHOD: Standards for Reporting Qualitative Research (SRQR). PATIENT OR PUBLIC CONTRIBUTION: The local hospital research institute's Patient and Family Advisory Committee reviewed the draft study methods and provided feedback.

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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.211
Threshold uncertainty score0.314

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 head0.057
GPT teacher head0.492
Teacher spread0.435 · 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

Citations2
Published2024
Admission routes1
Has abstractyes

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