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Record W2093756563 · doi:10.1136/ebn.6.3.90

Review: involvement of former or current users of mental health services may improve outcomes in patients with severe mental illness

2003· letter· en· W2093756563 on OpenAlexaff
Elizabeth Peter

Bibliographic record

VenueEvidence-Based Nursing · 2003
Typeletter
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCINAHLMental healthMedicineWeb of sciencePsycINFOPsychiatryMEDLINEInternal medicineMeta-analysisBiology

Abstract

fetched live from OpenAlex

Simpson EL, House AO. Involving users in the delivery and evaluation of mental health services: systematic review. BMJ2002 ; 325 : 1265 –8 [OpenUrl][1][Abstract/FREE Full Text][2] QUESTION: Does the involvement of former or current users of mental health services in the delivery and evaluation of mental health services improve outcomes in patients with severe mental illness? Studies were identified by searching Medline, EMBASE/Excerpta Medica, CINAHL, PsycINFO, HealthSTAR, the Cochrane Controlled Trials Register, Web of Science, HMIC, and BIDS (all from 1966 to October 2001). Bibliographies of relevant articles were reviewed, and experts and relevant organisations were contacted for unpublished studies. Studies were selected if they were randomised controlled trials (RCTs), controlled clinical trials (CCTs), or descriptive studies in which current or former users of mental health services with serious psychiatric illness (schizophrenia or bipolar disorder) participated in the design and data collection process of mental health service evaluation. Studies were also selected if users trained mental health professionals or if services were integrated by health professionals working together with users in a team. Data were extracted on the mechanism of involving users, including support available; … [1]: {openurl}?query=rft.jtitle%253DBMJ%26rft.stitle%253DBMJ%26rft.aulast%253DSimpson%26rft.auinit1%253DE.%2BL%26rft.volume%253D325%26rft.issue%253D7375%26rft.spage%253D1265%26rft.epage%253D1265%26rft.atitle%253DInvolving%2Busers%2Bin%2Bthe%2Bdelivery%2Band%2Bevaluation%2Bof%2Bmental%2Bhealth%2Bservices%253A%2Bsystematic%2Breview%26rft_id%253Dinfo%253Adoi%252F10.1136%252Fbmj.325.7375.1265%26rft_id%253Dinfo%253Apmid%252F12458241%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [2]: /lookup/ijlink?linkType=ABST&journalCode=bmj&resid=325/7375/1265&atom=%2Febnurs%2F6%2F3%2F90.atom

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.602
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.115
GPT teacher head0.416
Teacher spread0.301 · 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 designSystematic review
Domainnot available
GenreCommentary

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
Published2003
Admission routes1
Has abstractyes

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