Health-Related Quality of Life in People Living with Psychotic Illness and Factors Associated with Its Variation

Self-stigma and quality of life among people with psychosis: The protective role of religion

AIM

The quality of life in people with psychosis has been consistently demonstrated to be lower than those without, with self-stigma contributing greatly to this impairment. Hence, it is imperative to address this gap in order to facilitate recovery-oriented and other outcomes. This study investigates the potential of religiosity in moderating the effects of self-stigma on quality of life among those with psychosis.

METHODS

Adults with psychosis (n = 99) were recruited from the Early Psychosis Intervention Programme in Singapore from 2018 to 2021, and administered the self-report Religious Commitment Index, Internalized Stigma of Mental Illness scale, and Abbreviated World Health Organization Quality of Life instrument. Linear regression analyses were conducted and the interaction between self-stigma and religious commitment scores calculated to investigate the moderation effects of religiosity on the relationship between stigma and quality of life.

RESULTS

Preliminary regression analyses revealed a significant association between sex and psychological quality of life. After controlling for sex, religiosity was found to moderate the relationship between self-stigma and psychological quality of life.

CONCLUSIONS

The results of the study demonstrate the potential of religiosity in buffering the effects of self-stigma on quality of life. This reveals an area that can be easily targeted and addressed in treatment programs to improve outcomes beyond the clinical setting among people living with psychosis, to facilitate their recovery journey and beyond.

Exploring the relationship between baseline health-related quality of life (AQoL-4D utility values) and mortality during long-term follow-up for people living with a psychotic disorder

Holistic summary measures of health-related quality of life (HRQoL) could provide useful information for screening and/or monitoring high-risk individuals. This study explores the association of baseline HRQoL (AQoL-4D values) with death from natural and external causes (such as suicide, overdose, or accident) in a prevalent cohort over a mean follow-up of 6.9-years. Baseline data were obtained from the 2010 National Survey of High Impact Psychosis (SHIP) and its 2012 sister survey, the North-Metro Survey of High Impact Psychosis. Follow-up data were obtained from the National Deaths Index (to January 18, 2018). Associations between baseline HRQoL (and the 12 individual items of the AQoL-4D) and deaths by cause, stratified by sex were investigated using multivariable Cox Proportional Hazards models, with age used as the time scale. Overall, 7.6 % of the cohort (137 of 1805 people meeting ICD-10 criteria for a psychotic disorder and agreeing to linkage) died, 4.2 % from natural causes (primarily heart disease and cancer) and 3.4 % from external causes. There was an association between low HRQoL (AQoL-4D ≤ 0.20) and mortality due to natural causes, primarily driven by difficulties with mobility and vision in men, and difficulty with household tasks in women. No significant associations were obtained between AQoL-4D utilities and death from external causes. Sleep problems were associated with death from external causes for men only. As people with psychotic disorders experience multiple causes of death with complex associations which are difficult to quantify, monitoring for low HRQoL using the AQoL-4D could be a useful indicator of increased mortality risk in this population. TWITTER: Monitoring for low HRQoL (AQoL-4D ≤ 0.20) could be a useful indicator of increased mortality risk from natural causes in people living with psychotic disorders, with differing but specific items of relevance to men and women.

Health-Related Quality of Life Scores and Values as Predictors of Mortality: A Scoping Review

Health-related quality of life (HRQoL) can be assessed through measures that can be generic or disease specific, encompass several independent scales, or employ holistic assessment (i.e., the derivation of composite scores). HRQoL measures may identify patients with differential risk profiles. However, the usefulness of generic and holistic HRQoL measures in identifying patients at higher risk of death is unclear. The aim of the present study was to undertake a scoping review of generic, holistic assessments of HRQoL as predictors of mortality in general non-patient populations and clinical sub-populations with specified conditions or risk factors in persons 18 years or older. Five databases were searched from 18 June to 29 June 2020 to identify peer-reviewed published articles. The searches were updated in August 2022. Reference lists of included and cited articles were also searched. Of 2552 articles screened, 110 met criteria for inclusion. Over one-third of studies were from North America. Most studies pertained to sub-populations with specified conditions and/or risk factors, almost a quarter for people with cardiovascular diseases. There were no studies pertaining to people with mental health conditions. Nearly three-quarters of the studies used a RAND Corporation QoL instrument, predominantly the SF-36, and nearly a quarter, a utility instrument, predominantly the EQ-5D. HRQoL was associated with mortality in 67 of 72 univariate analyses (92%) and 100 of 109 multivariate analyses (92%). HRQoL was found to be associated with mortality in the general population and clinical sub-populations with physical health conditions. Whether this relationship holds in people with mental health conditions is not known. HRQoL assessment may be useful for screening and/or monitoring purposes to understand how people perceive their health and well-being and as an indicator of mortality risk, encouraging better-quality and timely patient care to support and maximize what may be a patient's only modifiable outcome.

Health-related quality of life in people with psychotic disorders: The role of loneliness and its contributors

BACKGROUND

Perception of loneliness has been identified as the strongest predictor of health-related quality of life assessed with the Assessment of Quality of Life-4D in people with psychotic disorders. We aimed to establish contributors to perceived loneliness, and ascertain the mediating role of loneliness in the relationship between identified contributors to loneliness and other known predictors of health-related quality of life with health-related quality of life.

METHODS

Data for 1642 people collected as part of the 2010 Australian National Survey of Psychosis were analysed. Health-related quality of life was assessed using the Assessment of Quality of Life-4D, and loneliness through a single-item five-level categorical variable. To identify independent contributors to loneliness, a statistical model was constructed with reference to a theoretical model comprising 23 variables. A predictive model with health-related quality of life as the dependent variable was then developed and tested to assess the mediating role of loneliness.

RESULTS

Nine contributors to loneliness were found (social dysfunction, experienced stigma, contact with friends, diagnosis, depressive symptoms, anxiety, mental health service utilisation, arthritis and traumatic events in childhood), with social dysfunction the strongest. In the prediction of health-related quality of life, all contributors to loneliness were partially mediated through loneliness (except service utilisation) as were negative symptoms and use of psychotropic/anticholinergic medications.

CONCLUSION

Assuming a plausible causal model of mediation, loneliness was found to have direct and indirect effects on health-related quality of life in people with psychotic disorders. Findings add impetus to efforts to develop and trial strategies aimed at reducing loneliness in this population, and, in turn, improving their health-related quality of life.

Predictive value of cardiometabolic biomarkers and depressive symptoms for symptom severity and quality of life in patients with psychotic disorders

BACKGROUND

Patients with psychotic disorders show higher rates of the metabolic syndrome (MS) between the cluster of severe mental illnesses. Depressive symptoms can worsen outcomes of individuals with psychotic disorders. However, research on the association between MS and depression in psychotic disorders and their relevance to outcomes is lacking.

METHODS

We investigated the association between depression and cardiometabolic biomarkers in psychotic disorders and the predictive value of depressive symptoms on psychopathological severity and quality of life (QoL). 406 patients with psychotic disorders were recruited as part of the Improving Physical Health and Reducing Substance Use in Severe Mental Illness randomised controlled trial. Depression, psychotic symptoms, QoL, waist circumference, triglycerides, high-density lipoprotein cholesterol (HDL-C), blood pressure, and fasting glucose of patients were assessed at baseline and 12 months. Sensitivity analyses were conducted to test the effect of treatment.

RESULTS

More severe baseline symptoms of depression significantly predicted worse 12-month psychotic symptoms and lower mental health related QoL at 12 months. These associations held after controlling for alcohol use, gender, ethnicity, education, and mental health related QoL Baseline. Depressive symptoms also correlated with waist circumference at both baseline and 12 months, after controlling for multiple testing.

CONCLUSION

Individuals with psychotic disorders experiencing more severe depressive symptoms are more likely to have larger waist circumference contemporaneously and 12 months later, as well as more severe psychotic symptoms and worse QoL at follow-up. This highlights the need for evaluation of strategies to address depression in the management of psychotic disorders.

Economic analyses of behavioral health intervention implementation: Perspective on stakeholder engagement

To provide full potential benefits to patients, behavioral health interventions often require comprehensive and systematic implementation efforts. The costs of these efforts should therefore be included when organizations decide to fund or adopt a new intervention. However, existing guidelines for conducting economic analyses like cost-effectiveness analyses and budget impact analyses are not well-suited to the complexity of the behavioral healthcare pathway and its many stakeholders. Stakeholder engagement, when used effectively with recent innovations in economic analysis, advance more equitable access to interventions for individuals living with behavioral health conditions. But early and ongoing stakeholder engagement has not yet been incorporated into best-practice guidelines for economic evaluation. We discuss our perspective, as researchers and clinicians in a large integrated health system, on how the integration of stakeholder engagement with existing economic analysis methods could improve decision-making about implementation of behavioral health interventions.

A comprehensive model of predictors of quality of life in older adults with schizophrenia: results from the CSA study

BACKGROUND

Numerous factors are known to influence quality of life of adults with schizophrenia. However, little is known regarding the potential predictors of quality of life in the increasing population of older adults with schizophrenia. The main objective of the present study was to propose a comprehensive model of quality of life in this specific population.

METHODS

Data were derived from the Cohort of individuals with Schizophrenia Aged 55 years or more (CSA) study, a large (N = 353) multicenter sample of older adults with schizophrenia or schizoaffective disorder recruited from French community mental-health teams. We used structural equation modeling to simultaneously examine the effects of six broad groups of clinical factors previously identified as potential predictors of quality of life in this population, including (1) severity of general psychopathology, (2) severity of depression, (3) severity of cognitive impairment, (4) psychotropic medications, (5) general medical conditions and (6) sociodemographic characteristics.

RESULTS

General psychopathology symptoms, and in particular negative and depressive symptoms, cognitive impairment, reduced overall functioning and low education were significantly and independently associated with diminished quality of life (all p < 0.05). Greater number of medical conditions and greater number of antipsychotics were also independently and negatively associated with quality of life, although these associations did not reach statistical significance in sensitivity analyses, possibly due to limited statistical power.

CONCLUSION

Several domains are implicated in quality of life among older adults with schizophrenia. Interventions targeting these factors may help improve importantly quality of life of this vulnerable population.

Proposing a causal pathway for health-related quality of life in people with psychotic disorders

This study aimed to establish independent predictors for health-related quality of life (HRQoL) in people with psychotic disorders, and the mediating role of global functioning in those relationships. Data for 1642 people collected as part of the second Australian National Survey of Psychosis were analyzed. The Assessment of Quality of Life (AQoL)-4D and the Personal and Social Performance scale were used for assessing HRQoL and global functioning respectively. The study commenced with a theoretical model comprised of 26 sociodemographic and clinical variables. A predictive model for HRQoL was built up using a purposeful selection strategy to arrive at a set of clinically meaningful, independent predictors. The mediating effect of global functioning was then assessed. Seven variables were found to have an independent effect on HRQoL: perception of loneliness, number of negative symptoms, use of psychotropic and anticholinergic medications, course of disorder, lifetime histories of chronic pain and cardiovascular disease and living arrangements at the time of the interview. All variables except perceived loneliness and chronic pain were partially mediated through global functioning. This final model explained 46% of the variance in HRQoL, with loneliness and number of negative symptoms the strongest predictors. Evidence in support of a credible causal pathway for HRQoL in people with psychotic disorders, mediated by global functioning was presented. The importance of the quality of social relationships was highlighted, and potential targets for improving the HRQoL of this population identified.

Associations between diet quality and knee joint structures, symptoms and systemic abnormalities in people with symptomatic knee osteoarthritis

BACKGROUND & AIMS

The evidence of benefiting from a high-quality diet for knee osteoarthritis (OA) joint structures, symptoms, and systemic abnormalities is limited. Clarifying the relationship between diet quality and knee OA could provide useful information for knee OA management. To investigate the associations between diet quality and knee joint structures, symptoms, lower limb muscle strength, depressive symptoms, and quality of life in people with knee OA.

METHODS

This study was a post-hoc, exploratory analysis using data from a randomized controlled trial in symptomatic knee OA participants with a follow-up time of 24 months. In brief, eligible participants of the original study were aged 50-79 years, had symptomatic knee OA, and had a pain of 20-80 mm on a 100-mm visual analog scale. After excluding the patients without information on diet quality, 392 participants were included in this post-hoc analysis. Diet quality was assessed at baseline using the Australian Recommended Food Score (ARFS) which includes subscores of vegetable, fruit, grain, dairy products, fat, and alcohol. Knee joint structures (including cartilage volume, cartilage defect, bone marrow lesions, and effusion-synovitis volume assessed by magnetic resonance imaging), OA symptoms, lower limb muscle strength, depressive symptoms, and quality of life were assessed at baseline and follow up. Mixed-effects models were used to assess the associations of diet quality with those outcomes.

RESULTS

Diet quality mainly reflect diet variety within the core food was not associated with knee structures and OA symptoms, but was associated with greater lower limb muscle strength (β = 0.66, P = 0.001), lower depressive symptom (β = -0.08, P = 0.001), and better quality of life (β = -0.06, P = 0.002). In further analyses of food group-based sub-scores, only the vegetable sub-score had the similar associations with lower limb muscle strength (β = 1.03, P = 0.004), depressive symptom (β = -0.17, P < 0.001), and quality of life (β = -0.14, P < 0.001).

CONCLUSIONS

Higher diet quality, mainly vegetable diet quality, is associated with greater lower limb muscle strength, less depressive symptoms, and higher quality of life in knee OA patients, suggesting higher diet quality may have protective effects on knee OA.

Health State Utility Values in Schizophrenia: A Systematic Review and Meta-Analysis

OBJECTIVES

Patient preferences are increasingly important in informing clinical and policy decisions. Health-state utility values (HSUVs) are quantitative measures of people's preferences over different health states. In schizophrenia, there is no clarity about HSUVs across the symptoms' severity spectrum. This meta-analysis aims to synthesize the literature on HSUVs in people with schizophrenia.

METHODS

We searched Medline, PsycInfo, Embase, EconLit, The Cochrane Library, and specialized databases. The studies reporting HSUVs in people with schizophrenia were selected and pooled in a random-effects meta-analysis. The primary outcome was the mean HSUV obtained from participants.

RESULTS

A total of 54 studies involving 87 335 participants were included. The pooled estimate using direct elicitation was a mean HSUV of 0.79 (95% CI: 0.70-0.88) for mild symptomatic states, 0.69 (95% CI: 0.54-0.85) in moderate states, and 0.34 (95% CI: 0.13-0.56) in severe states. Studies using indirect techniques resulted in a pooled mean HSUV of 0.73 (95% CI: 0.67-0.78) applying the EuroQol 5-dimension, 0.66 (95% CI: 0.62-0.71) in the Short-Form 6-dimension, and 0.59 (95% CI: 0.57-0.61) using the Quality of Well-Being scale. All the estimates resulted in considerable heterogeneity, partially reduced by meta-regression.

CONCLUSION

Our findings suggest that the severity of psychotic symptoms has an important effect on HSUVs in schizophrenia, with values mirroring patients with disabling physical conditions such as cancer and stroke. Decision makers should be aware of these results when including people's preferences in trials, models, and policy decisions.

Psychiatric symptoms and quality of life in older adults with schizophrenia spectrum disorder: results from a multicenter study

The severity of psychopathology has a strong negative impact on quality of life (QoL) among older adults with schizophrenia spectrum disorder. However, because these subjects generally experience multiple psychiatric symptoms, it remains unclear whether decreased QoL in this population is due to specific symptoms (e.g., hallucinations), specific dimensions of psychopathology (e.g., negative symptoms), a general psychopathology dimension representing the shared effect across all psychiatric symptoms, or a combination of these explanations. Data were derived from the Cohort of individuals with Schizophrenia Aged 55 years or more (CSA) study, a large (N = 353) multicenter sample of older adults with schizophrenia spectrum disorder recruited from French public-sector psychiatric departments. We used structural equation modeling to examine the shared and specific effects of psychiatric symptoms on QoL, while adjusting for sociodemographic characteristics, general medical conditions, global cognitive functioning and psychotropic medications. Psychiatric symptoms and QoL were assessed face-to-face by psychiatrists using the Brief Psychiatric Rating Scale (BPRS) and the Quality of Life Scale (QLS). Among older adults with schizophrenia spectrum disorder, effects of psychiatric symptoms on QoL were exerted mostly through a general psychopathology dimension (β = - 0.43, p < 0.01). Negative symptom dimension had an additional negative effect on QoL beyond the effect of that factor (β = - 0.28, p < 0.01). Because psychiatric symptoms affect QoL mainly through two dimensions of psychopathology, i.e., a general psychopathology dimension and a negative symptom dimension, mechanisms underlying those dimensions should be considered as promising targets for therapeutic interventions to substantially improve quality of life of this vulnerable population.

Quality of life assessment instruments for adults: a systematic review of population-based studies

BACKGROUND

Against a backdrop of population aging and improving survival rates for chronic noncommunicable diseases (CNCD), researchers are placing growing emphasis on health-related quality of life (HRQoL). The aim of this study was to identify the QoL assessment instruments used in population-based studies with adults conducted around the world.

METHODS

A systematic review of original research published in all languages between 2008 and 2018 was conducted. Systematic reviews and meta-analyses were excluded.

RESULTS

Sixty-three articles (38.1% conducted in the Americas) fitted the eligibility criteria. Based on the AHRQ checklist for cross-sectional studies and the Newcastle-Ottawa scale for cohort studies, methodological quality was shown to be fair in the majority of studies (55.6%) and good in 44.4%. The country with the highest number of publications was Brazil (20.6%). Twelve types of generic instruments and 11 specific instruments were identified. The generic instrument SF-36 was the most frequently used measure (33.3% of studies). In-home interviewing was exclusively used by 47.6% of the studies, while 39 studies (61.9%) reported the use of self-administered questionnaires. Over two-thirds of the studies (34.9%) used questionnaires to investigate the association between chronic diseases and/or associated factors.

CONCLUSIONS

It was concluded that the wide range of instruments and modes of questionnaire administration used by the studies may hinder comparisons between population groups with the same characteristics or needs. There is a lack of research on QoL and the factors affecting productive capacity. Studies of QoL in older persons should focus not only on the effects of disease and treatment, but also on the determinants of active aging and actions designed to promote it. Further research is recommended to determine which QoL instruments are best suited for population-based studies.

Valuing families' preferences for drug treatment: a discrete choice experiment

BACKGROUND AND AIMS

The burden on family members of those who are dependent on illicit drugs is largely unidentified, despite the presence of significant negative financial, health and social impacts. This makes it difficult to provide appropriate services and support. This study aimed to assess the preferences for treatment attributes for heroin dependence among family members affected by the drug use of a relative and to obtain a measure of the intangible economic benefit.

DESIGN

Discrete choice experiment. Data were analysed using mixed logit which accounted for repeated responses.

SETTING

Australia.

PARTICIPANTS

Eligible participants were Australian residents aged 18+ years with a relative with problematic drug use. Complete data on 237 respondents were analysed; 21 invalid responses were deleted.

MEASUREMENTS

Participant preference for likelihood of staying in treatment, family conflict, own health status, contact with police and monetary contribution to a charitable organization providing treatment.

FINDINGS

All attributes were significant, and the results suggest that there was a preference for longer time in treatment, less family discord, better own health status, less likelihood of their relative encountering police and, while they were willing to contribute to a charity for treatment to be available, they prefer to pay less, not more. In order of relative importance, participants were willing to pay an additional A$4.46 [95% confidence interval (CI) = 3.33-5.60] for treatment which resulted in an additional 1% of heroin users staying in treatment for longer than 3 months, A$42.00 (95% CI = 28.30-55.69) to avoid 5 days per week of family discord, A$87.94 (95% CI = 64.41-111.48) for treatment options that led to an improvement in their own health status and A$129.66 (95% CI = 53.50-205.87) for each 1% decline in the chance of police contact.

CONCLUSIONS

Drug treatment in Australia appears to have intangible benefits for affected family members. Families are willing to pay for treatment which reduces family discord, improves their own health, increases time in treatment and reduces contact with police.

Health-related quality of life among people who use methamphetamine

INTRODUCTION AND AIMS

We assessed health-related quality of life amongst people who use methamphetamine, examined how this related to different patterns of methamphetamine use and what other factors were associated with decrements in quality of life in this sample.

DESIGN AND METHODS

A cross-sectional survey of 169 at least monthly methamphetamine users. Health utility scores were derived using the Assessment of Quality of Life - 4D for the past month (0 reflects death and 1 represents full health; the population mean Assessment of Quality of Life score in Australia is 0.81). Dependence on methamphetamine was a score of 4+ on the Severity of Dependence Scale. Other measures included days of methamphetamine use and other substance use in the past month, injecting methamphetamine, demographics, psychiatric symptoms (score of 4+ on the Brief Psychiatric Rating Scale items) and a lifetime DSM-IV diagnosis of schizophrenia.

RESULTS

The mean utility score was 0.52 (95% confidence interval 0.48-0.56). Methamphetamine dependence was associated with lower utility (-0.10, P = 0.003) after adjustment for other univariate correlates of utility. Other factors independently associated with lower utility were being a woman (-0.14, P < 0.001), depression (-0.10, P = 0.008), self-neglect (-0.08, P = 0.035), schizophrenia (-0.17, P = 0.003) and fewer years of schooling (0.02 per year, P = 0.037).

DISCUSSION AND CONCLUSIONS

We found poor quality of life in this sample of methamphetamine users relative to the general population, this being associated with both dependence on methamphetamine and other factors, particularly poor mental health. We also found poorer health amongst women.