Objectives: This systematic literature review synthesizes and assesses empirical research concerning the use of the built environment as a therapeutic intervention in adult mental health inpatient facilities. The review explores the impact of facility design on patient outcomes.
Background: There is a growing recognition that the built environment in mental health facilities must strike a balance between ensuring safety and providing a therapeutic atmosphere. A review addressing how facility design contributes to this therapeutic environment is warranted.
Methods: Database searches were conducted in CINAHL, Embase, PsychInfo, PubMed, and Web of Science from inception up to March 10, 2022. The Scottish Intercollegiate Guidelines Network (SIGN50) critical appraisal checklists were used to assess the quality of included studies.
Results: Of the 44 peer-reviewed studies identified from nine countries, several factors emerged as vital for the therapeutic environment in mental health inpatient facilities. These included personal spaces prioritizing privacy and control of the environment, daylight-optimized spaces, versatile communal areas promoting activities and interaction, designated areas for visits and spiritual/contemplative reflection, homelike environments, the inclusion of artwork in units, open nursing stations, and dedicated female-only areas. Yet, there is a need for research yielding stronger evidence-based designs harmonizing with therapeutic needs.
Conclusion: This review offers initial guidance on designing mental health facilities that foster a therapeutic environment, while highlighting that the influence of facility design on mental health inpatients is considerably under-researched.
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http://dx.doi.org/10.1177/19375867231219031 | DOI Listing |
Biomed Phys Eng Express
January 2025
Brain Health Imaging Centre, Centre for Addiction and Mental Health, B68-250 College St, Toronto, Ontario, M5T 1R8, CANADA.
Objective: Arterial sampling for PET imaging often involves continuously measuring the radiotracer activity concentration in blood using an automatic blood sampling system (ABSS). We proposed and validated an external delay and dispersion correction procedure needed when a change in flow rate occurs during data acquisition. We also measured the external dispersion constant of [11C]CURB, [18F]FDG, [18F]FEPPA, and [18F]SynVesT-1.
View Article and Find Full Text PDFAustralas Psychiatry
January 2025
Consortium of Australian-Academic Psychiatrists for Independent Policy and Research Analysis (CAPIPRA), Canberra, ACT, Australia.
Objective: The Australian Institute of Health and Welfare publishes statistical indicator reports on the specialised mental health workforce. These include data for 2022-2023 on psychiatrists, mental health nurses, mental health occupational therapists, psychologists and mental health social workers. We provide a brief commentary on these reports, reflecting upon the implications of such changes for psychiatric practice and patient care.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Clinical Psychology and Psychotherapy, Department of Education and Psychology, Freie Universität Berlin, Berlin, Germany.
Background: Results on parental burden during the COVID-19 pandemic are predominantly available from nonrepresentative samples. Although sample selection can significantly influence results, the effects of sampling strategies have been largely underexplored.
Objective: This study aimed to investigate how sampling strategy may impact study results.
JMIR Ment Health
January 2025
Inspire, Belfast, United Kingdom.
Background: There is potential for digital mental health interventions to provide affordable, efficient, and scalable support to individuals. Digital interventions, including cognitive behavioral therapy, stress management, and mindfulness programs, have shown promise when applied in workplace settings.
Objective: The aim of this study is to conduct an umbrella review of systematic reviews in order to critically evaluate, synthesize, and summarize evidence of various digital mental health interventions available within a workplace setting.
J Med Internet Res
January 2025
School of Business, Innovation and Sustainability, Halmstad University, Halmstad, Sweden.
Background: Recent advancements in artificial intelligence (AI) have changed the care processes in mental health, particularly in decision-making support for health care professionals and individuals with mental health problems. AI systems provide support in several domains of mental health, including early detection, diagnostics, treatment, and self-care. The use of AI systems in care flows faces several challenges in relation to decision-making support, stemming from technology, end-user, and organizational perspectives with the AI disruption of care processes.
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