MétaCan
Menu
Back to cohort
Record W3006785420

Improving patients’ understanding of their rights under British Columbia’s Mental Health Act

2019· dissertation· en· W3006785420 on OpenAlexaboutno aff
Iva W. Cheung

Bibliographic record

VenueSummit (Simon Fraser University) · 2019
Typedissertation
Languageen
FieldPsychology
TopicHealthcare Decision-Making and Restraints
Canadian institutionsnot available
Fundersnot available
KeywordsMental healthMental Health ActPsychologyPolitical sciencePsychiatry
DOInot available

Abstract

fetched live from OpenAlex

In a 2011 survey of mental health patients in BC, 43% of respondents who had been involuntarily hospitalized said that their rights under the Mental Health Act were not explained to them in a way they could understand. One possible reason for this lack of understanding is that the document used to give rights information to involuntary patients, the statutory Form 13, may not be an effective communication tool. Another possible reason is that the rights-information process doesn’t meet patients’ information needs. Using a qualitative approach anchored in a transformative research paradigm, which seeks to redress power differences by involving the community of interest in designing and implementing solutions, I aimed to identify key features of a patient-centred rights-information process. First, I user tested Form 13 with people who had experienced involuntary hospitalization. The main findings were that the form’s content was unclear and had an intimidating and disempowering tone. Armed with this feedback, I coordinated a patient-oriented research team to develop a new suite of rights-communication tools to supplement Form 13. I user tested the tools with people who had experienced involuntary hospitalization. Participants found the suite of tools friendlier to use compared with Form 13. They appreciated that the many formats within the suite would accommodate different communication preferences and would give patients several opportunities to learn about their rights. I did a thematic analysis of the full set of user-testing interviews to learn more about involuntary patients’ experiences with the rights-information process. A key theme was that patients wanted more transparency and open communication about every aspect of their hospitalization. They also wanted clinicians to foster a culture where patients could feel safe talking about rights. The uncertainty from a lack of information exacerbated participants’ mental distress and made some fearful of hospitalization. A better understanding of what they could do under the legislation and how much they could participate in treatment decisions would reduce feelings of powerlessness and could help involuntary patients engage in their own recovery.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.752
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.025
GPT teacher head0.274
Teacher spread0.250 · 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 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
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueSummit (Simon Fraser University)Same topicHealthcare Decision-Making and RestraintsFrench-language works237,207