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Record W4405965079 · doi:10.21315/mjms2024.31.6.14

Predictors of Psychosocial Functioning Among Long-stay Schizophrenia Patients in a Malaysian Mental Institution

2024· article· en· W4405965079 on OpenAlexaboutno aff
Eugene Boon Yau Koh, Seng Choi Chong

Bibliographic record

VenueMalaysian Journal of Medical Sciences · 2024
Typearticle
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsnot available
Fundersnot available
KeywordsPsychosocialSchizophrenia (object-oriented programming)Brief Psychiatric Rating ScalePsychopathologyPsychiatryMedicineClinical psychologyCognitionPsychologyPsychosis

Abstract

fetched live from OpenAlex

Background: A considerable number of schizophrenia patients still require long-term hospital care despite psychiatric deinstitutionalisation, especially in developing nations. Prolonged hospitalisation is associated with greater impairment in psychosocial functioning. This study aimed to determine the level of psychosocial functioning and its predictors among long-stay schizophrenia patients in a Malaysian mental institution. Methods: This cross-sectional study included 138 patients selected through universal sampling. Data on socio-demographics, illness characteristics such as psychopathology and illness severity [measured using the Brief Psychiatric Rating Scale (BPRS)], and cognitive function [assessed using the Montreal Cognitive Assessment (MoCA)] were collected. The Personal and Social Performance (PSP) scale was used to evaluate psychosocial functioning. Pearson correlation coefficients and multiple linear regression analyses were applied to identify the correlates and predictors of psychosocial functioning. Results: This study found that 47.8% and 16.7% of the patients had moderate and severe cognitive impairments, respectively. The mean PSP score was 69.68 (standard deviation (SD) = 15.48). Female gender, previous unemployment and more severe cognitive impairments were significantly associated with poorer psychosocial functioning. Meanwhile, negative symptoms and age of onset were negatively correlated with psychosocial functioning. By contrast, the duration of illness was positively correlated with psychosocial functioning. The regression model indicated that being female (β = –7.32, p < 0.001), previously unemployed (β = –3.67, p < 0.047), having negative symptoms (β = –4.18, p < 0.001), experiencing a longer illness duration (β = –0.60, p = 0.004), and the presence of severe cognitive impairment (β = –9.80, p < 0.001) significantly predicted poorer psychosocial functioning. Conclusion: Long-stay schizophrenia patients experience substantial difficulties in psychosocial functioning. Factors such as gender, last employment status, negative symptoms, illness duration, and cognitive function affect psychosocial functioning.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.034
Threshold uncertainty score0.664

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
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 head0.019
GPT teacher head0.311
Teacher spread0.292 · 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

Citations2
Published2024
Admission routes1
Has abstractyes

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