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Record W7098417176

Original Research Agreement Between Staff and Service Users Concerning the Clientele’s Mental Health Needs: A Quebec Study

2015· article· en· W7098417176 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Taxonomy and Phylogenetics
Canadian institutionsnot available
Fundersnot available
KeywordsMental healthService (business)Plan (archaeology)Mental health serviceNeeds assessmentHealth servicesHealth careField (mathematics)Field research
DOInot available

Abstract

fetched live from OpenAlex

or a few years now, a broad consensus has existed in the mental health field that services based on client needs are required to plan and direct staff interventions. However, ser-vice users and health care professionals have different per-spectives on what constitutes a need (1). It was precisely to gauge the needs of people with severe mental health problems that the Camberwell Assessment of Need (CAN) question-naire was developed (2). The CAN’s main feature is that it takes into account the viewpoint of both the user and the key health worker and thus provides a more comprehensive over-view. The CAN’s reliability was tested over the past few years in the UK (3), in Scandinavia (4,5), in the Netherlands (6), and in Australia (7). However, few studies have used the CAN in a Canadian population. Moreover, except for studies by McCrone and others (8) and Najim and McCrone (9), few studies have analyzed the differences between users and staff Can J Psychiatry, Vol 51, No 5, April 2006 281 Objectives: This article examines the differences found between clientele with severe mental health problems and their key health workers in terms of assessing service users’ needs in 6 Quebec service areas. Method: We questioned 165 pairs of users and staff, using the Camberwell Assessment of Needs questionnaire. The profile of serious and overall problems encountered by clientele from each of the sites was compared. Results: The sites with the greatest degree of user–staff agreement in identifying problems were also the ones where users considered that local services best met their needs. Conclusions: The study demonstrated that, in needs assessment, major differences exist between the perceptions of users and their key workers in the various sites. These differences can be explained in part by users ’ individual characteristics, by types of needs, by local particularities, and by service use. (Can J Psychiatry 2006;51:281–286) Information on funding and support and author affiliations appears at the end of the article.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.719
Threshold uncertainty score0.957

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.229
GPT teacher head0.341
Teacher spread0.112 · 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 designObservational
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

Citations0
Published2015
Admission routes1
Has abstractyes

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