Subjective and objective quality of life at first presentation with psychosis

Impact of nutritional interventions on quality of life in schizophrenia spectrum disorders: a scoping review

OBJECTIVES

Schizophrenia is a chronic condition that requires long-term management. Quality of life is an important outcome measure for individuals diagnosed with schizophrenia; it can be tracked over time allowing evaluation of whether interventions lead to sustainable improvements. Nutrition and dietary interventions are an underutilized treatment for tackling the metabolic consequences of mental illness, which is now recognized as having increased importance in the management of schizophrenia. This study examines the impact of nutrition and dietary interventions on quality of life outcomes for those with schizophrenia.

METHODS

A systematic review of the literature was conducted, assessing the impact of nutritional interventions on quality of life outcomes in individuals with a diagnosis of schizophrenia.

RESULTS

A total of 982 articles were screened, of which nine articles met the inclusion criteria. Quality of life measures varied across studies, which made comparison across studies challenging. Previous studies had relatively small sample sizes and did not have long follow-up durations. Some of the studies found that dietary interventions such as counselling, weight management programs, food diaries and nutritional education improved quality of life, whereas others did not detect any effect.

CONCLUSIONS

The review provides preliminary evidence that nutrition and dietary interventions may benefit quality of life among individuals with schizophrenia. There were however substantial limitations in studies highlighting the need for further research. The paper also highlights the need to standardize assessment tools for future quality-of-life research.

Psychometric properties of Japanese version of the Recovering Quality of Life (ReQoL)

PURPOSE

This study aims to examine the psychometric properties of the Recovering Quality of Life- Japanese version (ReQoL-J) for use in the community setting.

METHODS

This cross-sectional study was conducted among service users of community mental health service facilities. A series of confirmatory factor analyses (CFAs) was performed. After the best-fitting model was identified, omega indices, and intraclass correlation (ICC) were calculated to evaluate dimensionality and reliability. The correlation coefficients between the ReQoL-J scores and the other scales were calculated for testing construct validity. We also estimated the correlation coefficients between the ReQoL-J-10 and - 20.

RESULTS

A total of 395 service users from 23 facilities in Japan participated in this study. Of these, 66 responded to the test-retest reliability. The bifactor model showed the best fit to the data: χ2/df = 1.74, CFI = 0.993, RMSEA = 0.031, and SRMR = 0.038. ECV and OmegaH indicated unidimensionality. ICC for the Re-QoL-J-10 and - 20 were 0.700 and 0.766, respectively. The ReQoL-J-10 showed a high correlation with the ReQoL-J-20 (r =.95, p <.001). The EQ-5D-5 L, a new brief scale for subjective personal agency (SPA-5), well-being and the quality of life scale (QLS) scores were positively correlated with the ReQoL-J score. On the other hand, the patient health questionnaire-9 (PHQ-9) and the WHODAS scores were negatively correlated with the ReQoL-J score.

CONCLUSION

Factor structure, internal consistency, test-retest reliability, and construct validity of the ReQoL-J were confirmed. The ReQoL-J is a promising tool as a patient-reported outcome measure in mental health services for the Japanese community setting.

Measures of Social and Occupational Function in Early Psychosis: A Systematic Review and Meta-analysis

Deficits in social and occupational function are widely reported in psychosis, yet no one measure of function is currently agreed upon as a gold standard in psychosis research. The aim of this study was to carry out a systematic review and meta-analysis of functioning measures to determine what measures were associated with largest effect sizes when measuring between-group differences, changes over time, or response to treatment. Literature searches were conducted based on PsycINFO and PubMed to identify studies for inclusion. Cross-sectional and longitudinal observational and intervention studies of early psychosis (≤5 years since diagnosis) that included social and occupational functioning as an outcome measure were considered. A series of meta-analyses were conducted to determine effect size differences for between-group differences, changes over time, or response to treatment. Subgroup analyses and meta-regression were carried out to account for variability in study and participant characteristics. One hundred and sixteen studies were included, 46 studies provided data (N = 13 261) relevant to our meta-analysis. Smallest effect sizes for changes in function over time and in response to treatment were observed for global measures, while more specific measures of social and occupational function showed the largest effect sizes. Differences in effect sizes between functioning measures remained significant after variability in study and participant characteristics were accounted for. Findings suggest that more specific measures of social function are better able to detect changes in function over time and in response to treatment.

Which psychological interventions improve quality of life in patients with schizophrenia-spectrum disorders? A meta-analysis of randomized controlled trials

Quality of life (QoL) is a major patient reported outcome used to measure the psychological treatments success in people with schizophrenia-spectrum disorders. To date, the specific impact of different interventions on QoL remains undefined. A meta-analysis of Randomized Controlled Trials (RCTs) was carried out for this purpose. We searched Proquest, PUBMED/MEDLINE, PsycINFO, WOS, Scopus, the Cochrane Library for RCTs published until January 2023. We used multilevel meta-analysis to examine differences between intervention effectiveness of experimental and control conditions whilst accounting for data dependencies. By means of subgroup analyses, we investigated influences of intervention types (i.e. psychoeducation v. CBT v. cognitive v. combination of several types v. other, such as psychodynamic, systemic, etc.) and continuous moderators were examined with precision-weighted meta-regressions. The generalizability of results across moderators, their combinations, and analytical approaches was investigated with multiverse meta-analyses. We examined data of 60 independent studies, reporting intervention effects for objective and subjective QoL (k = 19 and 70 effect sizes based on N = 1024 and 6254 participants, respectively). Overall, psychological interventions seemed to be more effective for objective than for subjective QoL. However, specific intervention results were differentiated, suggesting largest effects of psychoeducation on objective and combined interventions on subjective QoL. Our findings suggest that QoL is a valid outcome criterion for testing intervention effectiveness, as it is sensitive to change. Additionally, psychological interventions can improve patients' QoL, though the effects are small. Further testing of less widely used interventions and a shift toward the multidimensional nature of QoL is still necessary.

"I thought it would just be, like, older men in white coats": A qualitative exploration of first encounters with mental health services

Individuals whose mental health is becoming a concern may not receive the care they require. Although efforts have been made to reduce barriers to accessing services, including stigma reduction campaigns and healthcare practitioner training, there remains a lack of understanding of individual perspectives regarding help-seeking behaviour. The aim of this study was to explore people's first experiences accessing mental health services. A qualitative descriptive approach was adopted. Interviews were conducted with eight service users. Data were analysed using reflexive thematic analysis. The COREQ checklist guided this study (Tong et al., 2007, International Journal for Quality in Health Care, 19, 349). Three themes were identified: learning to navigate an unfamiliar system, making sense of mental health services, and promoting a positive image for those in need of care. Uncertainty about mental health services and stigmatizing images could be mitigated by developing positive media-based interventions. Systemic barriers need to be addressed and services need to be better resourced to ensure the benefits of early intervention are available to those experiencing mental health challenges. To encourage people to access services earlier, services need to be promoted in a positive way.

Cardiometabolic health risks, lifestyle behaviours and quality of life in people diagnosed with early psychosis - A cross-sectional study

WHAT IS KNOWN ON THE SUBJECT?: People diagnosed with schizophrenia have poor cardiometabolic health, with elevated 10-year cardiovascular disease risk (CVD-R) scores and low quality of life (QOL). There is a lack of understanding about CVD-R scores in people diagnosed with early psychosis and no studies have quantified CVD-R using the QRISK^® 3 calculator in this client group. Establishing potential relationships between modifiable lifestyle behaviours/treatment characteristics with CVD-R or QOL may identify targets for early intervention. WHAT THE PAPER ADDS TO EXISTING KNOWLEDGE?: This is the first study to quantify the individual 10-year CVD-R of people diagnosed with early psychosis utilising the QRISK^® 3 calculator. This is also the first study to investigate relationships between QOL and CVD-R and lifestyle factors in a cohort of Thai people diagnosed with early psychosis. We observed low levels of physical health-related QOL and high levels of CVR-R despite participants reporting relatively positive lifestyle behaviours. WHAT ARE THE IMPLICATIONS FOR PRACTICE?: The cardiometabolic health state of this client group warrants as much attention as for those with an enduring severe mental illness; early preventative interventions are warranted. It may be useful to routinely quantify the CVD-R of people diagnosed with early psychosis using the QRISK^® 3 calculator, even in the absence of immediate concerns about lifestyle behaviours. Mental health nurses should utilise evidence-based approaches such as increasing activity levels, dietary counselling and behaviour change interventions to mitigate poor physical health in this client group. ABSTRACT: Introduction People diagnosed with schizophrenia have poor cardiometabolic health, with elevated 10-year cardiovascular disease risk (CVD-R) scores and poor quality of life (QOL). There is lack of understanding of these issues in early psychosis. Aims To quantify CVD-R in people diagnosed with early psychosis and profile their obesity prevalence, lifestyle behaviours and QOL. Secondary aim was to explore associations between lifestyle behaviours/treatment characteristics and CVD-R/QOL. Method Baseline data from 81 RCT participants were used to profile cardiometabolic health risks (QRISK^® 3, BMI and waist circumference). Participants self-reported lifestyle behaviours and QOL. Relationships between modifiable treatment/lifestyle factors and QOL/CVD-R were explored. Results Participants' relative risk for CVD over 10 years was 1.93 times higher than healthy counterparts; 39% also had an obese BMI and physical QOL was poor. No significant associations were observed between CVD-R or QOL with treatment characteristics and lifestyle factors. Discussion Despite positive lifestyle behaviours, participants had elevated CVD-R scores and poor physical health-related QOL. Quantifying CVD-R with QRISK^® 3 may highlight the need for health promotion interventions. Implications for practice Mental health professionals should be aware that elevated CVD-R exists in the context of relatively healthy lifestyle behaviours and utilise evidence-based interventions to address these issues.

Perceived stress, social functioning and quality of life in first-episode psychosis: A 1-year follow-up study

AIM

Quality of life (QoL) has been widely studied in people with schizophrenia. In the early phases of psychosis, it remains often impaired even after the remission of psychotic symptoms. The aim of this study was to explore QoL and social functioning during the first year after a first-episode psychosis (FEP), and to study potential moderating effects of stress measures.

METHODS

Here, 61 FEP subjects and 55 healthy controls (HCs) were included. Sociodemographic data and clinical variables were collected through a semi-structured interview. Stress measures, social functioning and QoL were assessed with the Holmes-Rahe Social Readjustment Rating Scale, the Perceived Stress Scale, the Social Adaptation Self-Scale and the Euro-QoL-5D, respectively. Analysis of variance was employed with repeated measures and a mediation analysis at baseline and at 1-year follow-up was carried out.

RESULTS

Patients reported lower QoL, poorer social functioning and more stress than HC. FEP patients significantly improved in QoL and stress measures over time, but not in social functioning. Perceived stress mediated the association between poorer social functioning and lower QoL.

CONCLUSIONS

Social functioning at baseline may determine QoL over a 1-year follow-up period. Despite the improvement in most measures, patients do not achieve the level of well-being as the healthy group.

Using machine learning to predict mental healthcare consumption in non-affective psychosis

OBJECTIVE

The main goal of the study was to predict individual patients' future mental healthcare consumption, and thereby enhancing the design of an efficient demand-oriented mental healthcare system by focusing on a patient population associated with intensive mental healthcare consumption. Factors that affect the mental healthcare consumption of service users with non-affective psychosis were identified, and subsequently used in a prognostic model to predict future healthcare consumption.

METHOD

This study was a secondary analysis of an existing dataset from the GROUP study. Based on mental healthcare consumption, patients with non-affective psychosis were divided into two groups: low (N = 579) and high (N = 488) intensive mental healthcare consumers. Three different techniques from the field of machine learning were applied on crosssectional data to identify risk factors: logistic regression, classification tree and a random forest. Subsequently, the same techniques were applied longitudinally in order to predict future healthcare consumption.

RESULTS

Identified variables that affected healthcare consumption were the number of psychotic episodes, paid employment, engagement in social activities, previous healthcare consumption, and met needs. Analyses showed that the random forest method is best suited to model risk factors, and that these relations predict future healthcare consumption (AUC 0.71, PPV 0.65).

CONCLUSIONS

Machine learning techniques provide valuable information for identifying risk factors in psychosis. They may thus help clinicians optimize allocation of mental healthcare resources by predicting future healthcare consumption.

A meta-analysis of factors associated with quality of life in first episode psychosis

OBJECTIVE

Improving quality of life for people with first episode psychosis is an important aspect of recovery. Our objective was to review the associative factors on quality of life in first episode psychosis. A meta-analysis was conducted on the associations between quality of life, symptom severity, and duration of untreated psychosis.

METHOD

Fifty-one articles were identified (published through 08/29/2016) that provided data on the relationship between quality of life and at least one other outcome measure of interest in first episode psychosis. Of those studies, 21 were included in a meta-analysis (n = 3992) of the relationship between quality of life, severity of psychosis, and duration of untreated psychosis.

RESULTS

Meta-analysis identified significant negative correlations between quality of life and severity of symptoms (total symptom scores: r = -0.32, p < 0.001) and quality of life and duration of untreated psychosis (r = -0.21, p < 0.001). Heinrich's quality of life scale emerged as being more sensitive to the presence of psychotic symptoms than other measures of quality of life.

CONCLUSIONS

Associations were found between certain disease specific variables and quality of life in first episode psychosis, highlighting the relationship between symptom presentation and quality of life and the need for early intervention. Proper assessment of quality of life is important to promote improved quality of life in patients with first episode psychosis. Future research is needed to examine the interacting effects of symptom presentation, duration of untreated psychosis, and other variables, such as neurocognition, on quality of life.