MétaCan
Menu
Back to cohort
Record W2726330650 · doi:10.5750/ejpch.v5i2.1307

Recent developments in person-centered psychiatry: present and future psychiatric rehabilitation

2017· article· en· W2726330650 on OpenAlexaff
Martin Rotenberg, Abraham Rudnick

Bibliographic record

VenueEuropean Journal for Person Centered Healthcare · 2017
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsNOSM UniversityUniversity of Toronto
Fundersnot available
KeywordsMental healthPsychiatric rehabilitationRehabilitationMental illnessHealth carePsychiatryPsychologyMedicineNursingPolitical science

Abstract

fetched live from OpenAlex

Psychiatric Rehabilitation (PSR) focuses on person-centered and evidence-based sets of mental healthcare practices that facilitate the recovery of people with mental health challenges. PSR aims to enhance and maintain adaptive skills and supports for personally meaningful and valued social roles. Research in PSR continues to progress, with growing knowledge and evidence to support PSR practices and the provision of mental health services within a recovery-oriented framework. As one of the more person-centered sets of healthcare practices, a periodic review of recent and developing PSR literature is warranted for its own sake and for the consideration of how lessons from PSR may be transferable to other areas of healthcare. Recent developments and future directions in PSR addressed here relate to (1) enhanced conceptual understanding of recovery, (2) increased understanding of how individuals and families cope with mental illness, (3) PSR ethics, (4) increasing use of technology in PSR practices, (5) integration of evidence-based and promising practices, (6) psychiatric leisure rehabilitation and (7) PSR education and systems. These areas of focus are discussed in a selective review of the literature and a clinical case example which illustrates how PSR practices can facilitate 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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.386
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0050.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.292
GPT teacher head0.429
Teacher spread0.137 · 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 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

Citations3
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueEuropean Journal for Person Centered HealthcareSame topicMental Health and Patient InvolvementFrench-language works237,207