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Record W7162042681 · doi:10.82308/40154

Moral experiences of crisis management in a child mental health setting: A participatory hermeneutic ethnographic inquiry

2017· dissertation· en· W7162042681 on OpenAlexaboutno aff
Marjorie Montreuil

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldPsychology
TopicHealthcare Decision-Making and Restraints
Canadian institutionsnot available
Fundersnot available
KeywordsSeclusionMental healthEthnographyCitizen journalismDocumentationParticipant observationParticipatory action researchCrisis interventionDeliberation

Abstract

fetched live from OpenAlex

The use of restraint and seclusion to manage crisis situations in mental health settings is being widely challenged, but is still common. The rates of restraint and seclusion episodes on child mental health units are of particular concern, as they have been reported to be significantly higher than on adult units. A growing body of literature has highlighted the misuse of these control measures and the serious harms that can result from these practices (e.g. traumatization, death of the child). The use of such measures poses ethical challenges to nurses and other staff members who aim to act in the best interests of children and ensure their safety, while promoting children's capacity to manage their behavior and recognize children's agency. This study sought to examine the institutional norms, structures, practices, and corresponding moral experiences of children, parents and staff members around crisis management and the related use of control measures in order to develop care approaches that promote an optimal reconciliation of ethical concerns in child mental health. A novel methodological framework drawing on Taylor's hermeneutic philosophy—participatory hermeneutic ethnography—was developed to conduct this study, which enabled an in-depth examination of the concept of children's agency. A five-month participatory hermeneutic ethnography was conducted in a Canadian child mental health setting providing care to children aged 6 to 12 years old. Data collection involved participant observation, interviews, and documentation review. An interpretive framework was used for data analysis. The results show how the strict structure in place both prevented and contributed to crisis situations. Children were expected to comply, conform and acquiesce with staff and were generally perceived as the objects of care; and not as active agents involved in care processes. Children perceived control measures as helpful in exceptional cases when there was an imminent risk to someone's safety, and largely disagreed with their use as a consequence for bad behavior. This perspective contrasted with most of the staff members who considered control measures contributed to help the child feel safe, learn the limits in the setting, and form a trusting relationship. Parents were not part of the everyday experiences in the setting, and were confident the staff would use control measures as a last resort. The results suggest that the prevalent view of the child shared by staff members as incomplete human becomings led to the adoption and legitimization of authoritative norms, structures and practices guided largely by a behavioral approach, which sometimes led to an increased use of control measures for reasons other than imminent harm. Children experienced these controlling practices as abusive and hindering the development of trusting relationships with the staff, which impeded the implementation of a more collaborative approach that staff members sought to put in place to prevent the use of control measures. Changes in conceptions of children from objects to agents by the staff and seeking a rapprochement with children, by getting to know what is meaningful to them and try to bridge these horizons, could help build more authentic trusting relationships that might be more conducive to the implementation of collaborative approaches.

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)0.021
metaresearch head score (Gemma)0.026
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 score0.033
Threshold uncertainty score0.114

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0210.026
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0180.029
Scholarly communication0.0080.006
Open science0.0030.012
Research integrity0.0020.005
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 head0.120
GPT teacher head0.475
Teacher spread0.355 · 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".

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Citations0
Published2017
Admission routes1
Has abstractyes

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