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Record W2027316817 · doi:10.3109/08039488.2012.745603

Reactions to acute psychotic symptoms in a rural community

2012· article· en· W2027316817 on OpenAlexaboutno aff
Kirsti Kähärä, Ulla Tulisalo, Juhani Grönlund, Kari Mattila

Bibliographic record

VenueNordic Journal of Psychiatry · 2012
Typearticle
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)MedicineMental healthHealth carePopulationCohortPsychiatryAmbulatory careAcute careFamily medicineEnvironmental health

Abstract

fetched live from OpenAlex

BACKGROUND: Recognition of psychotic disorders constitutes a challenge to the population and health and social care. AIM: To evaluate the reactions of the general population, professionals in the health and social services, and local politicians in light of the symptoms of a patient evincing acute psychotic mental symptoms. MATERIAL AND METHODS: A postal questionnaire study was conducted in the rural Suupohja area in Finland. Three target groups: a randomized sample of residents aged 15-84 years (n = 1200), local social and healthcare personnel (n = 463) and politicians (n = 148) responded to alternatives in identifying the need and urgency of treatment. RESULTS: Seventy-six per cent of residents, 85% of politicians and 87% of health and social employees recognized that the patient was in need of urgent support and treatment. A significant positive association was found in the resident cohort between recognizing urgent need for support and female gender. Forty-eight per cent of inhabitants, 69% of social and healthcare staff, and 65% of politicians estimated that appropriate care and access to care would be obtained in the acute outpatient care of the health centre. CONCLUSION: Almost one quarter of residents were not aware of the patient's urgent need for acute mental healthcare. It is a challenge to promote the knowledge and sensitivity of the population in recognizing mental and psychotic symptoms. Also appropriate information is called for regarding local services and how to access the care.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.412

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 integrity0.0000.001
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 head0.022
GPT teacher head0.344
Teacher spread0.321 · 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
Published2012
Admission routes1
Has abstractyes

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