Purpose: To investigate the effect of Individual Placement and Support (IPS) according to diagnoses of schizophrenia, bipolar disorder, major depression, substance use disorders, or forensic psychiatric conditions.
Methods: A systematic search of the literature was conducted in June 2017 and repeated in December 2020. The systematic review included 13 studies. Analyses of pooled original data were based on the six studies providing data (n = 1594). No studies on forensic psychiatric conditions were eligible. Hours and weeks worked were analyzed using linear regression. Employment, and time to employment was analyzed using logistic regression, and cox-regression, respectively.
Results: The effects on hours and weeks in employment after 18 months were comparable for participants with schizophrenia, and bipolar disorder but only statistically significant for participants with schizophrenia compared to services as usual (SAU) (EMD 109.1 h (95% CI 60.5-157.7), 6.1 weeks (95% CI 3.9-8.4)). The effect was also significant for participants with any drug use disorder (121.2 h (95% CI 23.6-218.7), 6.8 weeks (95% CI 1.8-11.8)). Participants with schizophrenia, bipolar disorder, and any drug use disorder had higher odds of being competitively employed (OR 2.1 (95% CI 1.6-2.7); 2.4 (95% CI 1.3-4.4); 3.0 (95% CI 1.5-5.8)) and returned to work faster than SAU (HR 2.1 (95% CI 1.6-2.6); 1.8 (95% CI 1.1-3.1); 3.0 (95% CI 1.6-5.7)). No statistically significant effects were found regarding depression.
Conclusions: IPS was effective regarding schizophrenia, bipolar disorder, and substance use disorder; however, the effect on hours, and weeks worked was not statistically significant regarding bipolar disorder. For people with depression the impact of IPS remains inconclusive. Non-significant results may be due to lack of power.
Trial Registration: PROSPERO protocol nr. CRD42017060524.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1007/s10926-021-09960-z | DOI Listing |
Eur Arch Psychiatry Clin Neurosci
December 2024
Department of Psychiatry, University of Muenster, Muenster, Germany.
Schizophrenia (SCZ), bipolar (BD) and major depression disorder (MDD) are severe psychiatric disorders that are challenging to treat, often leading to treatment resistance (TR). It is crucial to develop effective methods to identify and treat patients at risk of TR at an early stage in a personalized manner, considering their biological basis, their clinical and psychosocial characteristics. Effective translation of theoretical knowledge into clinical practice is essential for achieving this goal.
View Article and Find Full Text PDFCurr Issues Mol Biol
November 2024
Systems Biology Unit, Department of Experimental Biology, Faculty of Experimental Sciences, University of Jaén, 23071 Jaén, Spain.
Neurological disorders such as Autism Spectrum Disorder (ASD), Schizophrenia (SCH), Bipolar Disorder (BD), and Major Depressive Disorder (MDD) affect millions of people worldwide, yet their molecular mechanisms remain poorly understood. This study describes the application of the Comparative Analysis of Shapley values (CASh) to transcriptomic data from nine datasets associated with these complex disorders, demonstrating its effectiveness in identifying differentially expressed genes (DEGs). CASh, which combines Game Theory with Bootstrap resampling, offers a robust alternative to traditional statistical methods by assessing the contribution of each gene in the broader context of the complete dataset.
View Article and Find Full Text PDFJMIR Ment Health
December 2024
Otsuka Pharmaceutical Development & Commercialization, Inc, 508 Carnegie Center Drive, Princeton, NJ, 08540, United States, 1 609 535 9035.
Background: Sleep-wake patterns are important behavioral biomarkers for patients with serious mental illness (SMI), providing insight into their well-being. The gold standard for monitoring sleep is polysomnography (PSG), which requires a sleep lab facility; however, advances in wearable sensor technology allow for real-world sleep-wake monitoring.
Objective: The goal of this study was to develop a PSG-validated sleep algorithm using accelerometer (ACC) and electrocardiogram (ECG) data from a wearable patch to accurately quantify sleep in a real-world setting.
Lancet Reg Health Eur
December 2024
Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
Background: Limited studies exist on sex differences in incidence rates of psychiatric disorders across the lifespan. This study aims to analyze sex differences in the incidence rates of clinically diagnosed psychiatric disorders over the lifespan.
Methods: We conducted a nationwide register-based cohort study, including all individuals who were born in Sweden and lived in Sweden between 2003 and 2019, including 4,818,071 females and 4,837,829 males.
J Mol Histol
December 2024
Faculty of Engineering, Department of Chemistry, Istanbul University- Cerrahpaşa, Avcilar, Istanbul, Türkiye.
Sodium valproate- a salt of valproic acid (VPA), is an anticonvulsant used in the treatment of epilepsy and a range of psychiatric conditions that include panic attacks, anxiety, post-traumatic stress, migraine and bipolar disorder etc. VPA can cause direct damage to many tissues due to accumulation of toxic metabolites. Nowadays, phytochemicals are amongst the best options for the treatment of diseases.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!