Quality of Life Assessment in Severe Mental Illnesses
Summary
Quality of life (QoL) assessment has emerged as a cornerstone of contemporary psychiatric research and clinical practice, particularly for individuals living with severe mental illnesses such as schizophrenia, bipolar disorder and major depressive disorder. Beyond symptom reduction, QoL measures capture subjective well-being, social participation and functional capacity across multiple life domains including interpersonal relationships, occupational engagement, physical health and self-perception. Instrumentation has evolved from generic health surveys to disorder-specific scales, enabling a nuanced appraisal of the lived experience of severe mental illness. Methodological innovations such as individual patient data meta-analyses and longitudinal cohort designs have clarified the interplay between clinical symptoms, cognitive impairment, medication side effects and socioeconomic factors in shaping QoL trajectories. Cross-cultural validation of QoL instruments underscores the global relevance of patient-centred outcomes and supports the development of interventions that target both clinical remission and domain-specific satisfaction. Importantly, patterns of domain-level dissatisfaction have been linked to relapse risk, highlighting the prognostic value of routine QoL monitoring. Integrating QoL assessment into multidisciplinary care models fosters personalised treatment plans, promotes recovery-oriented practice and aligns therapeutic goals with patient priorities. As research continues to refine measurement frameworks and identify modifiable determinants, QoL assessment stands poised to guide resource allocation, inform policy and enhance quality assurance in mental health services worldwide.
Research from Nature Portfolio
No recent Nature Portfolio content available.
Quality of Life Assessment in Severe Mental Illnesses publication trend
The graph below shows the total number of articles in quality of life assessment in severe mental illnesses across all publications each year (not limited to Nature Index journals).
Technical terms
Subjective Quality of Life (SQoL): An individual’s own perception of satisfaction and well-being across physical, psychological and social dimensions.
Life Domains: Specific areas of daily functioning, such as relationships, work, leisure and self-care, assessed separately in QoL instruments.
Individual Patient Data Meta-analysis: A meta-analytic approach that pools raw participant data from multiple studies for integrated statistical analysis.
Disorder-specific Scale: A QoL measure tailored to capture the unique impact of a particular mental illness on daily life and well-being.
Cross-sectional Study: An observational research design that assesses variables and outcomes at a single point in time.
References
- Which life domains are people with major depression satisfied or dissatisfied with? An individual patient data meta-analysis. Journal of Affective Disorders (2023).
- Comparison of subjective quality of life domains in schizophrenia, mood, and anxiety disorders; an individual patient data meta-analysis. Psychiatry Research (2024).
- Exploring the interplay of psychiatric symptoms, antipsychotic medications, side effects, employment status, and quality of life in Chronic Schizophrenia. BMC Psychiatry (2024).
- Quality of life is predictive of relapse in schizophrenia. BMC Psychiatry (2013).
Turn complex research questions into confident strategic decisions
When you're under pressure to set direction, justify investment, or understand your competitive position, you need more than raw data — you need trusted insights you can act on.
Benchmark your performance against global peers using robust, methodologically sound analysis.
Combine quantitative metrics with qualitative expert insight to uncover strengths, gaps and emerging opportunities.
Gain tailored, decision-ready recommendations aligned to your strategic priorities.
Talk to us to learn more about our data dashboards and bespoke strategy reports.
Grow research skills, confidence and careers with training built for every stage of the research lifecycle.
Developed with Nature Portfolio journal Editors and internationally renowned experts. Discover three ways to learn:
Self-paced, online courses in convenient bite-sized units, covering key skills across scientific writing, publishing, grant writing, data analysis, and more.
Expert trainer-led workshops with hands-on exercises and real-time feedback across core research skills, delivered via interactive group sessions.
Editor-led workshops combining core principles in writing and publishing, personalised 1:1 feedback from Nature Portfolio Editors and hands-on exercises.
Explore course catalogues and workshop agendas, enquire about the options or request institutional pricing.