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Chen L, Huai C, Song C, Wu S, Xu Y, Yi Z, Tang J, Fan L, Wu X, Ge Z, Liu C, Jiang D, Weng S, Wang G, Zhang X, Zhao X, Shen L, Zhang N, Wu H, Wang Y, Guo Z, Zhang S, Jiang B, Zhou W, Ma J, Li M, Chu Y, Zhou C, Lv Q, Xu Q, Zhu W, Zhang Y, Lian W, Liu S, Li X, Gao S, Liu A, He L, Yang Z, Dai B, Ye J, Lin R, Lu Y, Yan Q, Hu Y, Xing Q, Huang H, Qin S. Refining antipsychotic treatment strategies in schizophrenia: discovery of genetic biomarkers for enhanced drug response prediction. Mol Psychiatry 2025; 30:2362-2371. [PMID: 39562719 DOI: 10.1038/s41380-024-02841-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2024] [Revised: 11/06/2024] [Accepted: 11/11/2024] [Indexed: 11/21/2024]
Abstract
Schizophrenia (SCZ) is a severe mental disorder affecting around 1% of individuals worldwide. The variability in response to antipsychotic drugs (APDs) among SCZ patients presents a significant challenge for clinicians in determining the most effective medication. In this study, we investigated the biological markers and established a predictive model for APD response based on a large-scale genome-wide association study using 3269 Chinese schizophrenia patients. Each participant underwent an 8-week treatment regimen with one of five mono-APDs: olanzapine, risperidone, aripiprazole, quetiapine, or amisulpride. By dividing the response into ordinal groups of "high", "medium", and "low", we mitigated the bias of unclear treatment outcome and identified three novel significantly associated genetic loci in or near CDH12, WDR11, and ELAVL2. Additionally, we developed predictive models of response to each specific APDs, with accuracies ranging from 79.5% to 98.0%. In sum, we established an effective method to predict schizophrenia patients' response to APDs across three categories, integrating novel biomarkers to guide personalized medicine strategies.
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Affiliation(s)
- Luan Chen
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai, China
| | - Cong Huai
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai, China
| | - Chuanfu Song
- The Fourth People's Hospital of Wuhu, Wuhu, China
| | - Shaochang Wu
- The Second People's Hospital of Lishui, Lishui, China
| | - Yong Xu
- Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, China
- Department of Clinical Psychology, The Eighth Affiliated Hospital, Sun Yat-Sen University, Shenzhen City, Guangdong Province, China
| | - Zhenghui Yi
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jinsong Tang
- Department of Psychiatry, Sir Run-Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Lingzi Fan
- The Affiliated Encephalopathy Hospital of Zhengzhou University, Zhumadian Second People's Hospital, Zhumadian, China
| | - Xuming Wu
- Jiangsu Nantong Fourth People's Hospital, Nantong, Jiangsu Province, China
| | - Zhenhua Ge
- Jiangsu Nantong Fourth People's Hospital, Nantong, Jiangsu Province, China
| | - Chuanxin Liu
- Department of Psychiatry, Jining Medical University School of Mental Health, Jining, China
| | - Deguo Jiang
- Wenzhou Seventh People's Hospital, Wenzhou, China
| | - Saizheng Weng
- Fuzhou Neuro-psychiatric Hospital Affiliated to Fujian Medical University, Fuzhou, China
| | - Guoqiang Wang
- Wuxi Mental Health Center Affiliated to Nanjing Medical University, Wuxi, China
| | | | - Xudong Zhao
- Shanghai Pudong New Area Mental Health Center, Tongji University School of Medicine, Shanghai, China
| | - Lu Shen
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai, China
- Institutes of Biomedical Sciences, Fudan University, Shanghai, China
| | - Na Zhang
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai, China
- Shanghai Jiao Tong University Sichuan Research Institute (SJTUSRI), Chengdu, Sichuan Province, China
| | - Hao Wu
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai, China
| | - Yongzhi Wang
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai, China
| | - Zhenglin Guo
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Suli Zhang
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai, China
| | - Bixuan Jiang
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai, China
| | - Wei Zhou
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai, China
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health & Department of Developmental and Behavioural Paediatric & Child Primary Care, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jingsong Ma
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai, China
| | - Mo Li
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai, China
| | - Yunpeng Chu
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai, China
| | - Chenxi Zhou
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai, China
| | - Qinyu Lv
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qingqing Xu
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wenli Zhu
- The Fourth People's Hospital of Wuhu, Wuhu, China
| | - Yan Zhang
- The Second People's Hospital of Lishui, Lishui, China
| | - Weibin Lian
- The Second People's Hospital of Lishui, Lishui, China
| | - Sha Liu
- Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Xinrong Li
- Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Songyin Gao
- The Affiliated Encephalopathy Hospital of Zhengzhou University, Zhumadian Second People's Hospital, Zhumadian, China
| | - Aihong Liu
- The Affiliated Encephalopathy Hospital of Zhengzhou University, Zhumadian Second People's Hospital, Zhumadian, China
| | - Lei He
- The Affiliated Encephalopathy Hospital of Zhengzhou University, Zhumadian Second People's Hospital, Zhumadian, China
| | - Zhenzhen Yang
- Department of Psychiatry, Jining Medical University School of Mental Health, Jining, China
| | - Bojian Dai
- Wenzhou Seventh People's Hospital, Wenzhou, China
| | - Jiaen Ye
- Wenzhou Seventh People's Hospital, Wenzhou, China
| | - Ruiqian Lin
- Fuzhou Neuro-psychiatric Hospital Affiliated to Fujian Medical University, Fuzhou, China
| | - Yana Lu
- Wuxi Mental Health Center Affiliated to Nanjing Medical University, Wuxi, China
| | - Qi Yan
- Jiangsu Nantong Fourth People's Hospital, Nantong, Jiangsu Province, China
| | - Yalan Hu
- Jiangsu Nantong Fourth People's Hospital, Nantong, Jiangsu Province, China
| | - Qinghe Xing
- Children's Hospital of Fudan University and Institutes of Biomedical Sciences of Fudan University, Shanghai, China
| | - Hailiang Huang
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA.
- Department of Medicine, Harvard Medical School, Boston, MA, USA.
| | - Shengying Qin
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai, China.
- Shanghai Jiao Tong University Sichuan Research Institute (SJTUSRI), Chengdu, Sichuan Province, China.
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2
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Ball H, Eisner E, Nicholas J, Wilson P, Bucci S. How theories, models, and frameworks have been used to implement digital health interventions in services for people with severe mental health problems: a scoping review. BMC Public Health 2025; 25:1023. [PMID: 40098003 PMCID: PMC11912717 DOI: 10.1186/s12889-025-22189-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2024] [Accepted: 03/04/2025] [Indexed: 03/19/2025] Open
Abstract
BACKGROUND Digital health interventions have the potential to improve the efficacy and accessibility of mental health services for people with severe mental health problems, but their integration into routine practice is a challenge. The real-world implementation of digital health interventions should be considered alongside digital intervention development. However, little is known about the quality of implementation research in this area, including the extent to which implementation science theories, models and frameworks are used. The aim of this review was to synthesise evidence regarding the application of theories, models and frameworks in research investigating the implementation of digital health interventions in services for people with severe mental health problems. Secondary aims were to consider the contexts within which studies had been undertaken and the degree of service user involvement in this research. METHODS A scoping review method was employed. Electronic databases were systematically searched for published papers in English and reference lists of included studies were hand searched. Included studies used an implementation science theory, model, or framework to understand, guide or evaluate the implementation of digital health interventions in services for people with severe mental health problems. RESULTS Twelve eligible studies were identified. Studies were primarily undertaken in community mental health services with staff participants and there was variation in the types of digital interventions that were investigated. Eight different implementation science theories, models, and frameworks were used and were mainly employed to guide qualitative analysis. Most studies were undertaken in the early exploratory stages of implementation projects and there was little evidence regarding factors affecting the longer-term sustainment of digital health interventions in practice. Only one study reported the inclusion of service users in the design of the implementation study. CONCLUSIONS The use of implementation theories, models, and frameworks in efforts to implement digital health interventions in routine care for people with severe mental health problems is limited. Researchers should consider integrating such approaches throughout the research process and ensure service users are involved in this work. Further research regarding implementation processes, and the reach and sustainment of digital health interventions in routine practice, is required.
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Affiliation(s)
- Hannah Ball
- Division of Psychology and Mental Health, Faculty of Biology, Medicine and Health, Manchester Academic Health Sciences, School of Health Sciences, The University of Manchester, Manchester, UK
- Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
| | - Emily Eisner
- Division of Psychology and Mental Health, Faculty of Biology, Medicine and Health, Manchester Academic Health Sciences, School of Health Sciences, The University of Manchester, Manchester, UK
- Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
| | - Jennifer Nicholas
- Orygen, Melbourne, Australia
- Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia
| | - Paul Wilson
- Centre for Primary Care and Health Services Research, Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, The University of Manchester, Manchester, UK
| | - Sandra Bucci
- Division of Psychology and Mental Health, Faculty of Biology, Medicine and Health, Manchester Academic Health Sciences, School of Health Sciences, The University of Manchester, Manchester, UK.
- Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK.
- Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia.
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3
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Sveen C, Pedersen G, Wilberg T, Kvarstein EH. The societal costs of avoidant personality disorder. Personal Ment Health 2025; 19:e1644. [PMID: 39572388 PMCID: PMC11582018 DOI: 10.1002/pmh.1644] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2024] [Revised: 09/13/2024] [Accepted: 10/14/2024] [Indexed: 11/24/2024]
Abstract
The study aims to estimate the societal costs of avoidant personality disorder (AvPD). Cross-sectional data on AvPD patients during 2017-2020 were retrieved from the quality register of the Norwegian Network for Personality Disorders. Cost estimations were based on a bottom-up approach, using a structured interview covering the 6-month period prior to initial assessment. Unit costs were retrieved from public records. The human capital approach was used to calculate productivity losses. Diagnoses were determined according to DSM-5 by semi-structured diagnostic interviews (SCID-5-PD). Mean societal costs were €19,378 for the total group (N = 410). The subgroup with a single diagnosis (n = 270) incurred €18,818, whereas the subgroup with at least one comorbid PD (n = 140) incurred €20,458. The difference between the two subgroups was not statistically significant. The largest cost component was productivity loss (69%), whereas health service costs constituted 31%. The main contributors to societal costs from the health service cost components were inpatient treatment (18%) and individual outpatient treatment (11%). In conclusion, societal costs for AvPD patients were high, on the same level as borderline PD, schizotypal PD, and schizophrenia, and higher than anxiety disorders, depression, and rheumatoid arthritis. In the future, development of effective AvPD treatment programs enhancing personality functioning and workforce participation is important in order reduce the cost of illness.
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Affiliation(s)
- Carl‐Aksel Sveen
- Vestre Viken Hospital TrustDrammenNorway
- Faculty of Medicine, Institute for Clinical MedicineUniversity of OsloOsloNorway
| | - Geir Pedersen
- Institute of Basic Medical SciencesUniversity of OsloOsloNorway
- Section for Personality Psychiatry and Specialized Treatments, Division of Mental Health and AddictionOslo University HospitalOsloNorway
| | - Theresa Wilberg
- Department for Personality Psychiatry, Division of Mental Health and AddictionOslo University HospitalOsloNorway
- Faculty of Medicine, Institute for Clinical MedicineUniversity of OsloOsloNorway
| | - Elfrida Hartveit Kvarstein
- Faculty of Medicine, Institute for Clinical MedicineUniversity of OsloOsloNorway
- Section for Personality Psychiatry and Specialized Treatments, Division of Mental Health and AddictionOslo University HospitalOsloNorway
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Bladon S, Eisner E, Bucci S, Oluwatayo A, Martin GP, Sperrin M, Ainsworth J, Faulkner S. A systematic review of passive data for remote monitoring in psychosis and schizophrenia. NPJ Digit Med 2025; 8:62. [PMID: 39870797 PMCID: PMC11772847 DOI: 10.1038/s41746-025-01451-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2024] [Accepted: 01/12/2025] [Indexed: 01/29/2025] Open
Abstract
There is increasing use of digital tools to monitor people with psychosis and schizophrenia remotely, but using this type of data is challenging. This systematic review aimed to summarise how studies processed and analysed data collected through digital devices. In total, 203 articles collecting passive data through smartphones or wearable devices, from participants with psychosis or schizophrenia were included in the review. Accelerometers were the most common device (n = 115 studies), followed by smartphones (n = 46). The most commonly derived features were sleep duration (n = 50) and time spent sedentary (n = 41). Thirty studies assessed data quality and another 69 applied data quantity thresholds. Mixed effects models were used in 21 studies and time-series and machine-learning methods were used in 18 studies. Reporting of methods to process and analyse data was inconsistent, highlighting a need to improve the standardisation of methods and reporting in this area of research.
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Affiliation(s)
- Siân Bladon
- Centre for Health Informatics, Division of Informatics, Imaging and Data Science, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, M13 9PL, UK.
| | - Emily Eisner
- Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, Manchester, M13 9PL, UK
- Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
- NIHR Manchester Biomedical Research Centre, Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Sandra Bucci
- Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, Manchester, M13 9PL, UK
- Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
- NIHR Manchester Biomedical Research Centre, Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Anuoluwapo Oluwatayo
- Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, Manchester, M13 9PL, UK
- Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
| | - Glen P Martin
- Centre for Health Informatics, Division of Informatics, Imaging and Data Science, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, M13 9PL, UK
| | - Matthew Sperrin
- Centre for Health Informatics, Division of Informatics, Imaging and Data Science, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, M13 9PL, UK
| | - John Ainsworth
- Centre for Health Informatics, Division of Informatics, Imaging and Data Science, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, M13 9PL, UK
- NIHR Manchester Biomedical Research Centre, Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Sophie Faulkner
- Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, Manchester, M13 9PL, UK
- Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
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Patmisari E, Huang Y, McLaren C, Bhatia P, Orr M, Govindasamy S, Hielscher E, McLaren H. Review of community-based interventions for people with serious mental illness, focusing on learning instrumental activities of daily living and enhancing wellbeing. Scand J Occup Ther 2025; 32:2468421. [PMID: 39967062 DOI: 10.1080/11038128.2025.2468421] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2024] [Accepted: 02/13/2025] [Indexed: 02/20/2025]
Abstract
This review synthesises evidence on community-based interventions designed to support individuals with serious mental illness (SMI) in learning instrumental activities of daily living (IADLs). Given the increasing prevalence of SMI affecting over 500 million people worldwide, and associated functional impairments, effective interventions are critically needed. This review of thirty studies represented a range of global contexts and intervention types, which were categorised into simple IADLs (e.g. household chores), complex IADLs (e.g. financial management), and recreational IADLs (e.g. leisure activities). Findings demonstrated that community-based interventions significantly improved IADLs, promoting functional independence and overall well-being. Thematic analysis identified five key mechanisms for success: individualised goal-setting, structured programs with practical learning, engagement of support systems, integration into daily life, and use of innovative technologies. The review highlighted that personalised and practical IADL interventions, supported by robust community and technological resources, were most effective. When effective, interventions enhance practical skills of individuals while also contributing to emotional well-being, social connections, and personal fulfilment. Despite promising results, the review notes variability in study designs and outcomes, suggesting a need for consistent and long-term evaluations. Nonetheless, review insights offer valuable guidance for designing future interventions to better support autonomy and community integration of individuals with SMI.
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Affiliation(s)
- Emi Patmisari
- College of Education, Psychology and Social Work, Flinders University, Adelaide, South Australia, Australia
| | - Yunong Huang
- College of Education, Psychology and Social Work, Flinders University, Adelaide, South Australia, Australia
| | - Carla McLaren
- SA Health, Southern Adelaide Local Health Network (SALHN), Adelaide, South Australia, Australia
| | - Pankhuri Bhatia
- College of Education, Psychology and Social Work, Flinders University, Adelaide, South Australia, Australia
| | - Mark Orr
- Flourish Australia, Sydney, New South Wales, Australia
| | | | - Emily Hielscher
- Flourish Australia, Sydney, New South Wales, Australia
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
- School of Public Health, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia
| | - Helen McLaren
- College of Education, Psychology and Social Work, Flinders University, Adelaide, South Australia, Australia
- Faculty of Health, School of Allied Health, Australian Catholic University, Melbourne, Victoria, Australia
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Reangsing C, Wongsuraprakit S, Punsuwun S, Oerther S. Effects of mindfulness-based interventions (MBIs) on psychotic symptoms and psychological outcomes in patients with schizophrenia spectrum disorders: A systematic review and meta-analysis. Psychiatry Res 2024; 342:116272. [PMID: 39577340 DOI: 10.1016/j.psychres.2024.116272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2024] [Revised: 11/13/2024] [Accepted: 11/16/2024] [Indexed: 11/24/2024]
Abstract
OBJECTIVE Mindfulness refers to the practice of consciously attending to the present moment without judgement. Although mindfulness-based intervention have been extensively researched. Less is known about the effect of this intervention on psychotic symptoms in patients with schizophrenia spectrum disorders. Thus, we synthesized the effects of mindfulness-based interventions (MBIs) on psychotic symptoms, global functioning, insight, and mindfulness in patients with schizophrenia spectrum disorders. METHOD Nine electronic databases were searched from inception to March 2024 including Academic Search Complete, CINAHL, Cochrane, Ovid APA InFo, ProQuest, PubMed, Scopus, Mindfulness Journal and Web of Science. We reviewed studies on outcomes for patients with schizophrenia spectrum disorders receiving mindfulness-based interventions. We only reviewed all experimental and quasi-trials studies written in English. A random-effects model was used to compute the effect size. We used Funnel plot, Q statistics, and I2 to test the heterogeneity across studies. Also, we examined moderators to explore sources of heterogeneity. RESULTS Across 24 included studies (N = 1,632), 796 schizophrenia patients participated in mindfulness interventions; 836 served as controls. Most schizophrenia patients were males (69 %, s = 7). Mean age ranged from 24.4 to 59.5 years. Overall, mindfulness-based interventions showed reduced psychotic symptoms (g = 0.70, 95 %CI 0.04, 1.36, I2 = 96 %), increased global functioning (g = 1.28, 95 %CI 0.50, 2.05), insight (g = 1.21, 95 %CI 0.88, 1.55) and mindfulness (g = 0.56, 95 %CI 0.15, 0.97) compared to control groups, but with substantial heterogeneity. With subgroup analysis, every one-year of mean age of patients with schizophrenia increased, psychotic symptom worsened (slope = -0.071, tau2 = 0.77, Qbetween = 166.3, p = .016). Additionally, for every day of MBIs practice increased, psychotic symptoms improved (Slope = 0.012, tau2 = 1.37, Qbetween = 251.6, p = .033), patients' functioning improved (slope = 0.013, tau2 = 0.69, Qbetween = 142.1, p = .017) and patients' insight improved (slope = 0.001, tau2 = 0.012, Qbetween = 8.6, p = .043). Providing MBIs as a mixed format (individual plus group intervention) had a greater effect (g = 1.538) on improving patients' insight than providing MBIs only to individuals (g = 0.889). Also, providing MBIs with a home assignment had a greater effect (g = 1.517) on improving patients' insight than providing MBIs without a home assignment (g = 0.787). No primary studies reported the adverse effects. CONCLUSION MBIs significantly improved psychotic symptoms, global functioning, insight, and mindfulness among patients with schizophrenia spectrum disorders, especially MBIs with home assignment. Clinicians and health providers should consider using MBIs as alternative complementary treatment for improving psychotic symptoms and increasing global functioning, insight and mindfulness.
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Affiliation(s)
- Chuntana Reangsing
- School of Nursing, Mae Fah Luang University, Chiangrai, Thailand; Nursing Innovation Research and Resource Unit, Mae Fah Luang University, Thailand.
| | | | | | - Sarah Oerther
- Goldfarb School of Nursing, Barnes-Jewish College, Saint Louis City, MO, USA
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Chi S, Ko JK, Jeong HG, Han C, Lee MS. The Real-world Effect of Long-acting Injectable Antipsychotics on Annual Medical Costs of Korean Schizophrenia Patients. CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE : THE OFFICIAL SCIENTIFIC JOURNAL OF THE KOREAN COLLEGE OF NEUROPSYCHOPHARMACOLOGY 2024; 22:662-668. [PMID: 39420613 PMCID: PMC11494432 DOI: 10.9758/cpn.24.1206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/23/2024] [Revised: 07/02/2024] [Accepted: 07/08/2024] [Indexed: 10/19/2024]
Abstract
Objective Schizophrenia is a severe and chronic mental disorder that significantly impacts cognitive, social, and occupational functions, leading to substantial economic burdens. Long-acting injectable (LAI) antipsychotics have been introduced to improve treatment adherence and outcomes, yet their economic impact remains debated. We aim to analyze the impact of LAIs on the medical costs of Korean schizophrenia patients. Methods A retrospective analysis of 164 schizophrenia patients treated with LAI antipsychotics, paliperidone palmitate, and aripiprazole monohydrate at Korea University Guro Hospital between January 2017 and July 2022 was performed. Comparisons of inpatient department (IPD) and outpatient department (OPD) healthcare expenditures one year before and after LAI initiation were conducted. Results LAIs led to an increase in annual OPD costs (1,437.44 ± 1,127.60 to 4,015.42 ± 1,204.59; units: 1,000 KRW) but significantly reduced IPD admission associated costs (3,826.06 ± 5,500.63 to 698.06 ± 3,619.38; units: 1,000 KRW). After LAI administration, there was an overall reduction in total annual healthcare costs (5,263.49 ± 5,333.11 to 4,713.48 ± 3,625.89; units: 1,000 KRW), but it was not statistically significant. Conclusion Although the use of LAIs did not significantly lower the first-year medical costs of schizophrenia patients, they offer beneficial economic impacts over time by reducing hospitalization-associated costs. Future research should focus on long-term cost analyses and the impacts of newer LAI formulations.
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Affiliation(s)
- SuHyuk Chi
- Department of Psychiatry, Korea University Guro Hospital, Seoul, Korea
| | - Jeong Kyung Ko
- Department of Psychiatry, Korea University Guro Hospital, Seoul, Korea
| | - Hyung-Ghang Jeong
- Department of Psychiatry, Korea University Guro Hospital, Seoul, Korea
| | - Changsu Han
- Department of Psychiatry, Korea University Guro Hospital, Seoul, Korea
| | - Moon-Soo Lee
- Department of Psychiatry, Korea University Guro Hospital, Seoul, Korea
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8
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Neyra A, Parro-Torres C, Ros-Cucurull E, Carrera I, Echarri E, Torrens M. Management of schizophrenia and comorbid substance use disorders: expert review and guidance. Ann Gen Psychiatry 2024; 23:40. [PMID: 39478536 PMCID: PMC11526640 DOI: 10.1186/s12991-024-00529-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2024] [Accepted: 10/20/2024] [Indexed: 11/02/2024] Open
Abstract
BACKGROUND Schizophrenia and substance use disorders (SUDs) are often comorbid conditions that present clinical challenges due to their heterogeneity and the difficulties associated with poor physical health, low medication adherence, high relapse and hospitalization rates, and increased risk of mortality. This is often exacerbated by a fragmented health care system that treats addiction and mental illness separately, leading to delays in proper diagnosis and treatment. MAIN TEXT The aim of this narrative review, based on an extensive literature search and experts' clinical experience, is to synthesize evidence on the psychopathological and clinical characteristics of patients, the burden and management at the level of healthcare system, and possible gaps in the treatment of schizophrenia with comorbid SUD in order to understand and address the needs of patients. Treatment options, differences between antipsychotic medications, and the benefits of long-acting formulations and partial dopaminergic agonists are described. Partial dopamine agonists (aripiprazole, cariprazine, and brexpiprazole) have demonstrated good control of psychotic symptoms and SUDs with a favorable safety profile. CONCLUSION Pharmacological interventions should be accompanied by psychosocial support within an integrated and multidisciplinary approach that promotes shared decision-making and a good therapeutic alliance between the entire medical team and the patient.
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Affiliation(s)
- Adrián Neyra
- Psychiatry Service, University Hospital of Gran Canaria Dr. Negrín, Las Palmas de Gran Canaria, Spain.
| | - Carlos Parro-Torres
- Institute of Psychiatry and Mental Health, Gregorio Marañón University General Hospital, Madrid, Spain
| | - Elena Ros-Cucurull
- Department of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona. Department of Psychiatry and Legal Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Indalecio Carrera
- Unidad Asistencial de Drogodependencias de ACLAD-Coruña/CHUAC-SERGAS, A Coruña. Departamento de Psiquiatría de la Universidad de Santiago de Compostela, A Coruña, Spain
| | - Eduardo Echarri
- Servicio de farmacia del Hospital de Conxo-SERGAS, Santiago de Compostela, A Coruña, Spain
| | - Marta Torrens
- Institut Salut Mental Hospital del Mar, Hospital del Mar Research Institute. Universitat de Vic-UCC, Universitat Autònoma de Barcelona. Red de investigación en Atención Primaria de Adicciones (RIAPAd), Barcelona, Spain
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9
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Majuri T, Nerg I, Huikari S, Rissanen I, Jääskeläinen E, Miettunen J, Korhonen M. Productivity costs of schizophrenia spectrum and other psychotic disorders by friction cost and human capital methods: The Northern Finland Birth Cohort 1966. Soc Psychiatry Psychiatr Epidemiol 2024; 59:1721-1731. [PMID: 38517515 PMCID: PMC11464614 DOI: 10.1007/s00127-024-02652-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Accepted: 03/07/2024] [Indexed: 03/24/2024]
Abstract
PURPOSE Psychotic disorders are associated with substantial productivity costs; however no previous studies have compared these between schizophrenia spectrum (SSD) and other psychotic disorders (OP). The human capital method (HCM) and the friction cost method (FCM) are the two most common approaches to assess productivity costs. The HCM focuses on employees' perspectives on the costs, whereas the FCM demonstrates employers' perspectives. Studies comparing these methods when estimating the productivity costs of psychoses are lacking. METHODS Utilizing the Northern Finland Birth Cohort 1966 with linkages to national registers, we compared the adjusted productivity costs of SSD (n = 216) and OP (n = 217). The productivity costs were estimated from ages 18 to 53 including projections to statutory retirement age using the FCM and HCM. RESULTS When estimated via the HCM, productivity losses were higher for SSD (€193,940) than for OP (€163,080). However, when assessed using the FCM, costs were significantly lower for SSD (€2,720) than for OP (€4,430). Productivity costs varied by sex and various clinical and occupational factors. CONCLUSION This study highlights how productivity costs vary by psychosis diagnosis. These differences should be noted when planning interventions. The low FCM estimates indicate the need of interventions before or during the early phases of psychoses. From a societal perspective, interventions are needed, particularly for those with highest HCM productivity losses, such as males with SSD. Besides psychiatric services, the roles of social services, employment agencies and occupational health care should be considered when helping individuals with psychoses to working life.
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Affiliation(s)
- Tuomas Majuri
- Research Unit of Population Health, Faculty of Medicine, University of Oulu, P.O.BOX 5000, Oulu, Finland.
- Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland.
- Department of Psychiatry, Oulu University Hospital, Oulu, Finland.
| | - Iiro Nerg
- Department of Economics, Accounting and Finance, University of Oulu, Oulu, Finland
| | - Sanna Huikari
- Department of Economics, Accounting and Finance, University of Oulu, Oulu, Finland
| | - Ina Rissanen
- Research Unit of Population Health, Faculty of Medicine, University of Oulu, P.O.BOX 5000, Oulu, Finland
- Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht and Utrecht University, Utrecht, the Netherlands
| | - Erika Jääskeläinen
- Research Unit of Population Health, Faculty of Medicine, University of Oulu, P.O.BOX 5000, Oulu, Finland
- Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
- Department of Psychiatry, Oulu University Hospital, Oulu, Finland
| | - Jouko Miettunen
- Research Unit of Population Health, Faculty of Medicine, University of Oulu, P.O.BOX 5000, Oulu, Finland
- Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
| | - Marko Korhonen
- Department of Economics, Accounting and Finance, University of Oulu, Oulu, Finland
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10
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Adhikari K, Kamal KM, Jeun KJ, Nolfi DA, Ashraf MN, Zacker C. Real-World Effectiveness, Economic, and Humanistic Outcomes of Selected Oral Antipsychotics in Patients with Schizophrenia: A Systematic Review Evaluating Global Evidence. CLINICOECONOMICS AND OUTCOMES RESEARCH 2024; 16:621-645. [PMID: 39257455 PMCID: PMC11385900 DOI: 10.2147/ceor.s469024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2024] [Accepted: 08/03/2024] [Indexed: 09/12/2024] Open
Abstract
Background Schizophrenia is a complex, chronic mental health disorder that confers a substantial disease burden globally. Oral antipsychotic treatments (OATs) are the mainstay for treating early and advanced stages of schizophrenia. Our systematic review aimed to synthesize literature describing real-world effectiveness, economic, and humanistic outcomes of OATs (asenapine, brexpiprazole, cariprazine, iloperidone, lumateperone, lurasidone, olanzapine/samidorphan, paliperidone, and quetiapine) for successful management of the disease. Methods PubMed, American Psychological Association PsycINFO (EBSCOhost), and Cumulative Index of Nursing and Allied Health Literature were searched according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Studies reporting real-world effectiveness, costs, humanistic, behavioral (eg, interpersonal relations, suicide ideation), medication adherence, and product-switching outcomes for selected OATs published in English from January 2010 to March 2022 were identified and evaluated qualitatively. Results We included 48 studies with different designs providing extensive evidence on schizophrenia. All studies were conducted in countries outside of the United States. In most studies, antipsychotic medications were more effective than placebo, suggesting their value in the management of schizophrenia. Sixteen studies measured the economic outcomes of OATs. Eight studies assessed humanistic outcomes, while one reported behavioral outcomes in three second-generation antipsychotics. Medication adherence was described in two studies, while five studies evaluated product switching. Non-adherence was commonly reported for OATs. Medication non-adherence and treatment discontinuation were predominant factors contributing to the economic burden of schizophrenia. Conclusion Our research showcased a significant knowledge gap across OATs spanning the humanistic and behavioral outcomes and medication adherence and switching, suggesting a need for robust evidence generation to help clinicians and payers make informed decisions regarding treatment opportunities and cost-effective strategies for patients with schizophrenia.
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Affiliation(s)
- Keyuri Adhikari
- Department of Pharmaceutical Systems and Policy, West Virginia University School of Pharmacy, Morgantown, WV, USA
| | - Khalid M Kamal
- Department of Pharmaceutical Systems and Policy, West Virginia University School of Pharmacy, Morgantown, WV, USA
| | - Ki Jin Jeun
- Department of Pharmaceutical Systems and Policy, West Virginia University School of Pharmacy, Morgantown, WV, USA
| | - David A Nolfi
- Gumberg Library, Duquesne University, Pittsburgh, PA, USA
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11
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Idotta C, Pagano MA, Tibaldi E, Cadamuro M, Saetti R, Silvestrini M, Pigato G, Leanza L, Peruzzo R, Meneghetti L, Piazza S, Meneguzzo P, Favaro A, Grassi L, Toffanin T, Brunati AM. Neural stem/progenitor cells from olfactory neuroepithelium collected by nasal brushing as a cell model reflecting molecular and cellular dysfunctions in schizophrenia. World J Biol Psychiatry 2024; 25:317-329. [PMID: 38869228 DOI: 10.1080/15622975.2024.2357096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Revised: 05/02/2024] [Accepted: 05/15/2024] [Indexed: 06/14/2024]
Abstract
OBJECTIVES Neural stem/progenitor cells derived from olfactory neuroepithelium (hereafter olfactory neural stem/progenitor cells, ONSPCs) are emerging as a potential tool in the exploration of psychiatric disorders. The present study intended to assess whether ONSPCs could help discern individuals with schizophrenia (SZ) from non-schizophrenic (NS) subjects by exploring specific cellular and molecular features. METHODS ONSPCs were collected from 19 in-patients diagnosed with SZ and 31 NS individuals and propagated in basal medium. Mitochondrial ATP production, expression of β-catenin and cell proliferation, which are described to be altered in SZ, were examined in freshly isolated or newly thawed ONSPCs after a few culture passages. RESULTS SZ-ONSPCs exhibited a lower mitochondrial ATP production and insensitivity to agents capable of positively or negatively affecting β-catenin expression with respect to NS-ONSPCs. As to proliferation, it declined in SZ-ONSPCs as the number of culture passages increased compared to a steady level of growth shown by NS-ONSPCs. CONCLUSIONS The ease and safety of sample collection as well as the differences observed between NS- and SZ-ONSPCs, may lay the groundwork for a new approach to obtain biological material from a large number of living individuals and gain a better understanding of the mechanisms underlying SZ pathophysiology.
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Affiliation(s)
- Carlo Idotta
- Department of Molecular Medicine, University of Padua, Padua, Italy
| | - Mario Angelo Pagano
- Department of Molecular Medicine, University of Padua, Padua, Italy
- Department of Neuroscience and Rehabilitation, Institute of Psychiatry, University of Ferrara, Ferrara, Italy
| | - Elena Tibaldi
- Department of Molecular Medicine, University of Padua, Padua, Italy
| | | | - Roberto Saetti
- Department of Otolaryngology, San Bortolo Hospital, ULSS 8 Berica, Vicenza, Italy
| | - Marina Silvestrini
- Department of Otolaryngology, San Bortolo Hospital, ULSS 8 Berica, Vicenza, Italy
| | | | - Luigi Leanza
- Department of Biology, University of Padua, Padua, Italy
| | - Roberta Peruzzo
- Department of Molecular and Cell Biology, University of California, Berkeley, CA, USA
| | | | - Stefano Piazza
- Department of Mental Health, ULSS 8 Berica, Vicenza, Italy
| | - Paolo Meneguzzo
- Department of Neuroscience, University of Padua, Padua, Italy
- Padova Neuroscience Center, University of Padua, Padua, Italy
| | - Angela Favaro
- Department of Neuroscience, University of Padua, Padua, Italy
- Padova Neuroscience Center, University of Padua, Padua, Italy
| | - Luigi Grassi
- Department of Neuroscience and Rehabilitation, Institute of Psychiatry, University of Ferrara, Ferrara, Italy
| | - Tommaso Toffanin
- Department of Neuroscience and Rehabilitation, Institute of Psychiatry, University of Ferrara, Ferrara, Italy
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12
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Saadullah Khani N, Hudson G, Mills G, Ramesh S, Varney L, Cotic M, Abidoph R, Richards-Belle A, Carrascal-Laso L, Franco-Martin M, Kaas-Hansen BS, Jürgens G, Barrett B, Jin H, Bramon E. A systematic review of pharmacogenetic testing to guide antipsychotic treatment. NATURE. MENTAL HEALTH 2024; 2:616-626. [PMID: 38746691 PMCID: PMC11088993 DOI: 10.1038/s44220-024-00240-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Accepted: 03/20/2024] [Indexed: 12/12/2024]
Abstract
Pharmacogenomics could optimize antipsychotic treatment by preventing adverse drug reactions, improving treatment efficacy or relieving the cost burden on the healthcare system. Here we conducted a systematic review to investigate whether pharmacogenetic testing in individuals undergoing antipsychotic treatment influences clinical or economic outcomes. On 12 January 2024, we searched MEDLINE, EMBASE, PsycINFO and Cochrane Centrale Register of Controlled Trials. The results were summarized using a narrative approach and summary tables. In total, 13 studies were eligible for inclusion in the systematic review. The current evidence base is either in favor of pharmacogenetics-guided prescribing or showed no difference between pharmacogenetics and treatment as usual for clinical and economic outcomes. In the future, we require randomized controlled trials with sufficient sample sizes that provide recommendations for patients who take antipsychotics based on a broad, multigene panel, with consistent and comparable clinical outcomes.
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Affiliation(s)
- Noushin Saadullah Khani
- Mental Health Neuroscience Research Department, Division of Psychiatry, University College London, London, UK
| | - Georgie Hudson
- Mental Health Neuroscience Research Department, Division of Psychiatry, University College London, London, UK
| | - Georgina Mills
- Mental Health Neuroscience Research Department, Division of Psychiatry, University College London, London, UK
| | - Soumita Ramesh
- Mental Health Neuroscience Research Department, Division of Psychiatry, University College London, London, UK
| | - Lauren Varney
- Mental Health Neuroscience Research Department, Division of Psychiatry, University College London, London, UK
| | - Marius Cotic
- Mental Health Neuroscience Research Department, Division of Psychiatry, University College London, London, UK
- Department of Genetics and Genomic Medicine, UCL Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Rosemary Abidoph
- Mental Health Neuroscience Research Department, Division of Psychiatry, University College London, London, UK
- Camden and Islington NHS Foundation Trust, London, UK
| | - Alvin Richards-Belle
- Mental Health Neuroscience Research Department, Division of Psychiatry, University College London, London, UK
- Epidemiology and Applied Clinical Research Department, Division of Psychiatry, University College London, London, UK
| | - Lorena Carrascal-Laso
- Servicio de Psiquiatría, Hospital Provincial de Zamora, Instituto de Investigación Biomédica de Salamanca, Zamora, Spain
| | - Manuel Franco-Martin
- Servicio de Psiquiatría, Hospital Provincial de Zamora, Instituto de Investigación Biomédica de Salamanca, Zamora, Spain
| | - Benjamin Skov Kaas-Hansen
- Department of Intensive Care (4131), Copenhagen University Hospital – Rigshospitalet, Copenhagen, Denmark
| | - Gesche Jürgens
- Clinical Pharmacological Unit, Zealand University Hospital, Roskilde, Denmark
- Institute of Clinical Medicine, Copenhagen University, Copenhagen, Denmark
- Research Unit for Clinical Psychopharmacology, Psychiatry West, Slagelse, Denmark
| | - Barbara Barrett
- Department of Health Services and Population Research, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Huajie Jin
- King’s Health Economics, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Elvira Bramon
- Mental Health Neuroscience Research Department, Division of Psychiatry, University College London, London, UK
- Camden and Islington NHS Foundation Trust, London, UK
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13
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Ng QX, Ong C, Yaow CYL, Chan HW, Thumboo J, Wang Y, Koh GCH. Cost-of-illness studies of inherited retinal diseases: a systematic review. Orphanet J Rare Dis 2024; 19:93. [PMID: 38424595 PMCID: PMC10905859 DOI: 10.1186/s13023-024-03099-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Accepted: 02/21/2024] [Indexed: 03/02/2024] Open
Abstract
BACKGROUND While health care and societal costs are routinely modelled for most diseases, there is a paucity of comprehensive data and cost-of-illness (COI) studies for inherited retinal diseases (IRDs). This lack of data can lead to underfunding or misallocation of resources. A comprehensive understanding of the COI of IRDs would assist governmental and healthcare leaders in determining optimal resource allocation, prioritizing funding for research, treatment, and support services for these patients. METHODS Following PRISMA guidelines, a literature search was conducted using Medline, EMBASE and Cochrane databases, from database inception up to 30 Jun 2023, to identify COI studies related to IRD. Original studies in English, primarily including patients with IRDs, and whose main study objective was the estimation of the costs of IRDs and had sufficiently detailed methodology to assess study quality were eligible for inclusion. To enable comparison across countries and studies, all annual costs were standardized to US dollars, adjusted for inflation to reflect their current value and recalculated on a "per patient" basis wherever possible. The review protocol was registered in PROSPERO (registration number CRD42023452986). RESULTS A total of nine studies were included in the final stage of systematic review and they consistently demonstrated a significant disease burden associated with IRDs. In Singapore, the mean total cost per patient was roughly US$6926/year. In Japan, the mean total cost per patient was US$20,833/year. In the UK, the mean total cost per patient with IRD ranged from US$21,658 to US$36,549/year. In contrast, in the US, the mean total per-patient costs for IRDs ranged from about US$33,017 to US$186,051 per year. In Canada, these mean total per-patient costs varied between US$16,470 and US$275,045/year. Non-health costs constituted the overwhelming majority of costs as compared to healthcare costs; 87-98% of the total costs were due to non-health costs, which could be attributed to diminished quality of life, poverty, and increased informal caregiving needs for affected individuals. CONCLUSION IRDs impose a disproportionate societal burden outside health systems. It is vital for continued funding into IRD research, and governments should incorporate societal costs in the evaluation of cost-effectiveness for forthcoming IRD interventions, including genomic testing and targeted therapies.
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Affiliation(s)
- Qin Xiang Ng
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.
- Health Services Research Unit, Singapore General Hospital, Singapore, Singapore.
| | - Clarence Ong
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | - Clyve Yu Leon Yaow
- NUS Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Hwei Wuen Chan
- NUS Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of Ophthalmology, National University Hospital, Singapore, Singapore
| | - Julian Thumboo
- Health Services Research Unit, Singapore General Hospital, Singapore, Singapore
- NUS Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Yi Wang
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | - Gerald Choon Huat Koh
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
- NUS Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
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14
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Tandon R, Nasrallah H, Akbarian S, Carpenter WT, DeLisi LE, Gaebel W, Green MF, Gur RE, Heckers S, Kane JM, Malaspina D, Meyer-Lindenberg A, Murray R, Owen M, Smoller JW, Yassin W, Keshavan M. The schizophrenia syndrome, circa 2024: What we know and how that informs its nature. Schizophr Res 2024; 264:1-28. [PMID: 38086109 DOI: 10.1016/j.schres.2023.11.015] [Citation(s) in RCA: 43] [Impact Index Per Article: 43.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 11/23/2023] [Accepted: 11/29/2023] [Indexed: 03/01/2024]
Abstract
With new data about different aspects of schizophrenia being continually generated, it becomes necessary to periodically revisit exactly what we know. Along with a need to review what we currently know about schizophrenia, there is an equal imperative to evaluate the construct itself. With these objectives, we undertook an iterative, multi-phase process involving fifty international experts in the field, with each step building on learnings from the prior one. This review assembles currently established findings about schizophrenia (construct, etiology, pathophysiology, clinical expression, treatment) and posits what they reveal about its nature. Schizophrenia is a heritable, complex, multi-dimensional syndrome with varying degrees of psychotic, negative, cognitive, mood, and motor manifestations. The illness exhibits a remitting and relapsing course, with varying degrees of recovery among affected individuals with most experiencing significant social and functional impairment. Genetic risk factors likely include thousands of common genetic variants that each have a small impact on an individual's risk and a plethora of rare gene variants that have a larger individual impact on risk. Their biological effects are concentrated in the brain and many of the same variants also increase the risk of other psychiatric disorders such as bipolar disorder, autism, and other neurodevelopmental conditions. Environmental risk factors include but are not limited to urban residence in childhood, migration, older paternal age at birth, cannabis use, childhood trauma, antenatal maternal infection, and perinatal hypoxia. Structural, functional, and neurochemical brain alterations implicate multiple regions and functional circuits. Dopamine D-2 receptor antagonists and partial agonists improve psychotic symptoms and reduce risk of relapse. Certain psychological and psychosocial interventions are beneficial. Early intervention can reduce treatment delay and improve outcomes. Schizophrenia is increasingly considered to be a heterogeneous syndrome and not a singular disease entity. There is no necessary or sufficient etiology, pathology, set of clinical features, or treatment that fully circumscribes this syndrome. A single, common pathophysiological pathway appears unlikely. The boundaries of schizophrenia remain fuzzy, suggesting the absence of a categorical fit and need to reconceptualize it as a broader, multi-dimensional and/or spectrum construct.
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Affiliation(s)
- Rajiv Tandon
- Department of Psychiatry, WMU Homer Stryker School of Medicine, Kalamazoo, MI 49008, United States of America.
| | - Henry Nasrallah
- Department of Psychiatry, University of Cincinnati College of Medicine Cincinnati, OH 45267, United States of America
| | - Schahram Akbarian
- Department of Psychiatry, Icahn School of Medicine at Mt. Sinai, New York, NY 10029, United States of America
| | - William T Carpenter
- Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21201, United States of America
| | - Lynn E DeLisi
- Department of Psychiatry, Cambridge Health Alliance and Harvard Medical School, Cambridge, MA 02139, United States of America
| | - Wolfgang Gaebel
- Department of Psychiatry and Psychotherapy, LVR-Klinikum Dusseldorf, Heinrich-Heine University, Dusseldorf, Germany
| | - Michael F Green
- Department of Psychiatry and Biobehavioral Sciences, Jane and Terry Semel Institute of Neuroscience and Human Behavior, UCLA, Los Angeles, CA 90024, United States of America; Greater Los Angeles Veterans' Administration Healthcare System, United States of America
| | - Raquel E Gur
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, United States of America
| | - Stephan Heckers
- Department of Psychiatry, Vanderbilt University Medical Center, Nashville, TN 37232, United States of America
| | - John M Kane
- Department of Psychiatry, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Glen Oaks, NY 11004, United States of America
| | - Dolores Malaspina
- Department of Psychiatry, Neuroscience, Genetics, and Genomics, Icahn School of Medicine at Mt. Sinai, New York, NY 10029, United States of America
| | - Andreas Meyer-Lindenberg
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Mannhein/Heidelberg University, Mannheim, Germany
| | - Robin Murray
- Institute of Psychiatry, Psychology, and Neuroscience, Kings College, London, UK
| | - Michael Owen
- Centre for Neuropsychiatric Genetics and Genomics, and Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Jordan W Smoller
- Center for Precision Psychiatry, Department of Psychiatry, Psychiatric and Neurodevelopmental Unit, Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, United States of America
| | - Walid Yassin
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02115, United States of America
| | - Matcheri Keshavan
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02115, United States of America
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