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Record W2047606641 · doi:10.1080/09638230600608784

Evaluating life in foster homes for persons with serious mental illness: Resident and caregiver perspectives

2006· article· en· W2047606641 on OpenAlexafffundabout
Myra Piat, Nicole Ricard, Alain Lesage

Bibliographic record

VenueJournal of Mental Health · 2006
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsHôpital Louis-H LafontaineMcGill University Health CentreMontreal General HospitalDouglas Mental Health University Institute
FundersCanadian Institutes of Health ResearchU.S. Public Health Service
KeywordsAutonomyDeclarationMental illnessGroup homePerceptionMental healthPsychologyNursing homesGerontologyPsychiatryMedicineNursingPolitical science

Abstract

fetched live from OpenAlex

Background: In Montreal Canada, the majority of persons with serious mental illness discharged from psychiatric hospitals were placed into foster homes. Very little updated information exists on life in foster homes, and the level of autonomy allowed in this residential setting.Aims: The purpose of the study was to elicit the foster home residents' opinions about their lives in this setting and their caregiver's perception of the level of autonomy allowed.Method: Two questionnaires were administered to 102 foster home residents and their caregivers: (1) Patient Attitude Questionnaire and (2) Hospital and Hostel Practices Profile Survey.Results: Consumers are satisfied living in this type of milieu and do not desire to change their housing. The foster home provides residents with a sense of security and well being. Foster homes rank second in terms of autonomy when compared to hospitals and hostels. Only supported apartments rank higher.Conclusion: These findings shed a new light on this type of residential milieu. Over time the structure of foster homes has evolved. This study points to the need to value the opinions of consumers and not force people to move onto other types of housing.Declaration of interest: This project was funded by Fonds de recherche en santé du Québec – Project #990679. The research was carried out at the Douglas Hospital, Montreal, Canada and Louis H Lafontaine Hospital, Montreal, Canada.

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)0.001
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 score0.111
Threshold uncertainty score0.819

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.054
GPT teacher head0.453
Teacher spread0.398 · 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

Citations13
Published2006
Admission routes3
Has abstractyes

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