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Record W4312192267 · doi:10.1080/17522439.2022.2160487

How do people with first episode psychosis experience therapeutic relationships with mental health practitioners? A narrative review

2022· review· en· W4312192267 on OpenAlexaboutno aff
Katrina Brown, Sarah Parry

Bibliographic record

VenuePsychosis · 2022
Typereview
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsnot available
Fundersnot available
KeywordsCINAHLPsycINFOMental healthTherapeutic relationshipPsychologyIntervention (counseling)MEDLINEInclusion (mineral)Psychological interventionPsychiatryPsychosisNarrativeSchizophrenia (object-oriented programming)PsychotherapistSocial psychology

Abstract

fetched live from OpenAlex

Background First-episode psychosis (FEP) refers to the first time someone experiences an episode of psychosis, which can be frightening and confusing, leading people to make their first contact with early intervention services. Early intervention is widely accepted as beneficial for long-term recovery and symptom management. A universal feature of intervention is a relationship with mental health practitioners. Therapeutic relationships experienced as positive are also associated with better outcomes across mental health settings. However, little is known about what is helpful within therapeutic relationships for people with FEPMethod The current review aimed to develop a rich understanding of beneficial features of therapeutic relationships for people with FEP to enhance service delivery. Databases searched were: APA PsycInfo, MEDLINE Complete, CINAHL.Results A systematic search yielded 178 papers, of which 16 met the inclusion criteria. Publications reviewed were from Singapore, Western Finnish Lapland, England, Canada, the United States of America, Denmark, and Australia. The papers were published across 12 journals; 81% were qualitative, 12% were quantitative, and one was a mixed methods study.Discussion It is recommended that creating a safe space to talk, taking a non-judgemental approach, and developing trust between practitioner and client should be prioritised for people with FEP.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.864
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.104
GPT teacher head0.404
Teacher spread0.300 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations7
Published2022
Admission routes1
Has abstractyes

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