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1.
Eur Psychiatry ; 66(1): e65, 2023 08 03.
Article in English | MEDLINE | ID: mdl-37534402

ABSTRACT

Depressive disorders have one of the highest disability-adjusted life years (DALYs) of all medical conditions, which led the European Psychiatric Association to propose a policy paper, pinpointing their unmet health care and research needs. The first part focuses on what can be currently done to improve the care of patients with depression, and then discuss future trends for research and healthcare. Through the narration of clinical cases, the different points are illustrated. The necessary political framework is formulated, to implement such changes to fundamentally improve psychiatric care. The group of European Psychiatrist Association (EPA) experts insist on the need for (1) increased awareness of mental illness in primary care settings, (2) the development of novel (biological) markers, (3) the rapid implementation of machine learning (supporting diagnostics, prognostics, and therapeutics), (4) the generalized use of electronic devices and apps into everyday treatment, (5) the development of the new generation of treatment options, such as plasticity-promoting agents, and (6) the importance of comprehensive recovery approach. At a political level, the group also proposed four priorities, the need to (1) increase the use of open science, (2) implement reasonable data protection laws, (3) establish ethical electronic health records, and (4) enable better healthcare research and saving resources.


Subject(s)
Depression , Mental Disorders , Humans , Mental Health
2.
Eur Psychiatry ; 53: 116-122, 2018 09.
Article in English | MEDLINE | ID: mdl-30036774

ABSTRACT

BACKGROUND: Positive findings on early detection and early intervention services have been consistently reported from many different countries. The aim of this study, conducted within the European Brain Council project "The Value of Treatment", was to estimate costs and the potential cost- savings associated with adopting these services within the context of the Czech mental health care reform. METHODS: Czech epidemiological data, probabilities derived from meta-analyses, and data on costs of mental health services in the Czech Republic were used to populate a decision analytical model. From the health care and societal perspectives, costs associated with health care services and productivity lost were taken into account. One-way sensitivity analyses were conducted to explore the uncertainty around the key parameters. RESULTS: It was estimated that annual costs associated with care as usual for people with the first episode of psychosis were as high as 46 million Euro in the Czech Republic 2016. These annual costs could be reduced by 25% if ED services were adopted, 33% if EI services were adopted, and 40% if both, ED and EI services, were adopted in the country. Cost-savings would be generated due to decreased hospitalisations and better employment outcomes in people with psychoses. CONCLUSIONS: Adopting early detection and early intervention services in mental health systems based on psychiatric hospitals and with limited access to acute and community care could generate considerable cost- savings. Although the results of this modelling study needs to be taken with caution, early detection and early intervention services are recommended for multi-centre pilot testing accompanied by full economic evaluation in the region of Central and Eastern Europe.


Subject(s)
Health Care Costs , Mental Health Services/economics , Psychotic Disorders/diagnosis , Schizophrenia/diagnosis , Cost-Benefit Analysis , Czech Republic , Decision Support Techniques , Early Diagnosis , Hospitalization/economics , Humans
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