Using the CHIME Personal Recovery Framework to Evaluate the Validity of the MHRM-10 in Individuals with Psychosis.

The recovery movement has revealed that outcomes which focuses on just symptoms and functioning may not be holistic and that consumer-rated outcomes may contribute to a more holistic and person-centric care model. However, a brief and effective measure is required in clinical settings; hence, the aim of the current study is to evaluate the psychometric properties of the briefest personal recovery measure- Mental Health Recovery Measure-10 items, using the CHIME (Connectedness, Hope and optimism about the future, Identity, Meaning in life, Empowerment) personal recovery framework. 64 outpatients with schizophrenia or schizoaffective disorder were assessed at two time points, 2 weeks apart. Data collected included sociodemographic information, MHRM-10, Psychological factors related to the CHIME framework, in respective order: RYFF subscale positive relations with others; Herth Hope Index (HHI); Internalized Stigma of Mental Illness (ISMI) and RYFF subscale self-acceptance; World Health Organization Quality of Life- BRIEF (WHOQOL-BREF); Empowerment, and Clinical factors- symptoms as measured by Positive and Negative Syndrome Scale, functioning (PSP) and depressive symptoms (CDSS). MHRM-10 demonstrated convergent validity with CHIME personal recovery psychological factors (all ρ > 0.5). MHRM-10 had excellent internal consistency (Cronbach's alpha = 0.904) and adequate test-retest reliability (ρ = 0.742, p < 0.001). Initial factor structure analysis revealed a one factor structure. The MHRM-10 is a valid instrument for use and can serve as a tool to facilitate a more collaborative and person-centric model of care for individuals with psychosis.

An Asian study on clinical and psychological factors associated with personal recovery in people with psychosis.

BACKGROUND: Despite the rising recognition of personal recovery, there is a lack of research on personal recovery in individuals with psychosis in Singapore. This study aims to evaluate the psychometric properties of the QPR-15 using the CHIME personal recovery framework and to examine its associations with clinical recovery factors. METHODS: Sixty-six stable outpatients were recruited and assessed at two time points approximately 2 weeks apart. Convergent validity was examined through Spearman correlations with scores on CHIME-related psychological factors: connectedness (Ryff subscale- positive relations with others), hope (Herth Hope Index- abbreviated), identity (Ryff subscale- self-acceptance, Internalized Stigma of Mental Illness- Brief), meaning (World Health Organization Quality of Life Assessment-Brief Form), empowerment (Empowerment Scale). Pearson's correlation was used to examine the test-retest reliability, while Cronbach's alpha was used to examine internal consistency. The initial factor structure was evaluated via principal component analysis, Velicer's minimum average partial (MAP) criteria, parallel analysis, and a scree plot. Spearman correlations and hierarchical multiple linear regression (controlling for age and gender) were employed to examine the association of clinical (symptoms and functioning) and psychological factors with the QPR-15. RESULTS: The QPR-15 demonstrated convergent validity with all CHIME-related psychological factors (rs ranged from 0.472 to 0.687). Internal consistency was excellent (Cronbach's alpha = 0.934), and test-retest reliability was adequate (r = 0.708). Initial factor structure evaluations revealed a one-factor model. Correlations of clinical factors with the QPR-15 were mostly low (rs ranged from - 0.105 to - 0.544) but significant, except for depressive symptoms (CDSS: rs = - 0.529 to - 0.544), while correlations were moderate for psychological factors. Clinical factors significantly explained 28.3-31.8% of the variance of the QPR-15. Adding psychological factors significantly increased the model variance at baseline (∆ adjusted R2 = 0.369, F change < 0.001) and at time point 2 (∆ adjusted R2 = 0.208, F change < 0.001). CONCLUSION: Our results provide preliminary evidence that the QPR-15 has adequate psychometric properties in Singapore and encompasses the CHIME personal recovery framework. In addition, our results suggest that clinical recovery and personal recovery are not substitutes for each other but rather are complementary, thereby promoting a more holistic evaluation of recovery in people with psychosis. Implications are discussed.

Determinants of Health-Related Quality of Life in Schizophrenia: Beyond the Medical Model.

Background: Improving Quality of Life (QoL) in Schizophrenia is an important treatment objective in the shift toward person-centered and recovery-oriented care. Health-Related Quality of Life (HRQoL) is a focused aspect of QoL that is directly impacted by healthcare intervention. This aim of the current study was to ascertain the clinical determinants of HRQoL in Schizophrenia and their collective contribution to HRQoL. Methods: 157 stable outpatients with schizophrenia were recruited for this study. Data collected included sociodemographic information and clinical characteristics. HRQoL was assessed on the RAND-36. Psychopathology was assessed on the Positive and Negative Syndrome Scale (PANSS) and functioning measured on the Global Assessment Scale (GAS). Findings: Multiple regression revealed that the Physical Health Component (PHC) of the RAND-36 was associated with positive symptoms (beta = -0.218, p = 0.005) and presence of psychiatric comorbidity (beta = -0.215, p = 0.003). The Mental Health Component (MHC) was associated with depressive (beta = -0.364, p < 0.001) and positive (beta = -0.175, p = 0.021,) symptoms. Symptoms, functioning, presence of psychiatric comorbidities, gender and age account for 20.3% of the total variance observed in HRQoL. Conclusion: Depressive and positive symptoms are key clinical determinants of HRQoL in people with schizophrenia. However, the medical model-looking solely at clinical determinants-could not account for a large proportion of variance in HRQoL. Hence, future research beyond the medical model is required to uncover the determinants of HRQoL in Schizophrenia. Identifying these factors will contribute toward developing a holistic and person-centered management plan for people with schizophrenia.