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Navigating personal recovery: multinomial logistic regression analysis of schizophrenia outcomes in community-dwelling individuals

Jintana Yunibhand et al · Wiley · 2024

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Background Schizophrenia is a chronic mental disorder affecting individuals globally, emphasising the significance of personal recovery in mental healthcare. Understanding the recovery stages and the associated factors can provide essential insights for targeted interventions.Aims This study aimed to discern the stages of personal recovery in Thai patients with schizophrenia and elucidate the associated factors with each stage.Methods A multistage sampling technique was employed, selecting 231 patients with schizophrenia from mental health outpatient departments of general and psychiatric hospitals. Data collected from March to May 2023 included screening for psychotic symptoms using the Brief Psychiatric Rating Scale and six self-report questionnaires—Stage of Recovery Scale, Beck Cognitive Insight Scale, Brief Resilience Scale, Family Support, Therapeutic Relationship-Patients Version and Social Support Questionnaire—along with personal data sheets. Pearson correlation and multinomial logistic regression were performed.Results The predominant personal recovery stage among participants was stage 3, ‘living with disabilities’, comprising 42.4% of the participants. Key factors contributing to personal recovery, explaining approximately 38.4% of the variance, included resilience, family support, therapeutic alliance, hospitalisations since onset and recovery-oriented nursing service utilisation. Logit equations for stages 3 and 4 are as follows: stage 3 (living with disability): logit=−4.44+0.74×resilience+0.07×therapeutic alliance+0.02×recovery-oriented nursing service utilisation; stage 4 (living beyond disability): logit=−11.57–0.05×hospitalisation since onset+1.96×resilience+0.11×family support+0.06×therapeutic alliance.Conclusion The findings emphasise the significance of mental health nursing interventions. In conjunction with recovery-oriented nursing services, strengthening resilience, therapeutic alliances and family support may accelerate personal recovery and reduce hospitalisations among individuals with schizophrenia.

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APA 7

al, J. Y. E. (2024). Navigating personal recovery: multinomial logistic regression analysis of schizophrenia outcomes in community-dwelling individuals. https://doi.org/10.1136/gpsych-2023-101325

MLA

al, Jintana Yunibhand et. "Navigating personal recovery: multinomial logistic regression analysis of schizophrenia outcomes in community-dwelling individuals." 2024. https://doi.org/10.1136/gpsych-2023-101325.

Chicago

al, Jintana Yunibhand et. 2024. "Navigating personal recovery: multinomial logistic regression analysis of schizophrenia outcomes in community-dwelling individuals.". https://doi.org/10.1136/gpsych-2023-101325.

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al, J. Y. E. 2024, Navigating personal recovery: multinomial logistic regression analysis of schizophrenia outcomes in community-dwelling individuals, Wiley, available at: https://doi.org/10.1136/gpsych-2023-101325 [Accessed 8 Aug. 2026].

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Titolo
Navigating personal recovery: multinomial logistic regression analysis of schizophrenia outcomes in community-dwelling individuals
Autore / collaboratori
Jintana Yunibhand et al
Editore
Wiley
Anno di pubblicazione
2024
ISSN
2517-729X
ISSN
2517-729X
Lingua
Inglés
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