Major depressive disorder in Chinese persons with speech disability: High rates of prevalence and perceived need for mental health care but extremely low rate of use of mental health services

2020 ◽  
Vol 263 ◽  
pp. 25-30 ◽  
Author(s):  
Bao-Liang Zhong ◽  
Wei Luo ◽  
Yan-Min Xu ◽  
Wen-Xue Li ◽  
Wen-Cai Chen ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Care ◽  
Major Depressive Disorder ◽  
Mental Health Services ◽  
Health Services ◽  
Depressive Disorder ◽  
Mental Health Care ◽  
Major Depressive ◽  
Perceived Need ◽  
Low Rate

scholarly journals Technological State of the Art of Electronic Mental Health Interventions for Major Depressive Disorder: Systematic Literature Review (Preprint)

2018 ◽  
Author(s):  
Franziska Burger ◽  
Mark A Neerincx ◽  
Willem-Paul Brinkman
Keyword(s):  
Mental Health ◽  
Health Care ◽  
Major Depressive Disorder ◽  
Literature Review ◽  
Depressive Disorder ◽  
Mental Health Care ◽  
High Tech ◽  
Support Functions ◽  
Major Depressive ◽  
Adherence Support

BACKGROUND Electronic mental (e-mental) health care for depression aims to overcome barriers to and limitations of face-to-face treatment. Owing to the high and growing demand for mental health care, a large number of such information and communication technology systems have been developed in recent years. Consequently, a diverse system landscape formed. OBJECTIVE This literature review aims to give an overview of this landscape of e-mental health systems for the prevention and treatment of major depressive disorder, focusing on three main research questions: (1) What types of systems exist? (2) How technologically advanced are these systems? (3) How has the system landscape evolved between 2000 and 2017? METHODS Publications eligible for inclusion described e-mental health software for the prevention or treatment of major depressive disorder. Additionally, the software had to have been evaluated with end users and developed since 2000. After screening, 270 records remained for inclusion. We constructed a taxonomy concerning software systems, their functions, how technologized these were in their realization, and how systems were evaluated, and then, we extracted this information from the included records. We define here as functions any component of the system that delivers either treatment or adherence support to the user. For this coding process, an elaborate classification hierarchy for functions was developed yielding a total of 133 systems with 2163 functions. The systems and their functions were analyzed quantitatively, with a focus on technological realization. RESULTS There are various types of systems. However, most are delivered on the World Wide Web (76%), and most implement cognitive behavioral therapy techniques (85%). In terms of content, systems contain twice as many treatment functions as adherence support functions, on average. Furthermore, autonomous systems, those not including human guidance, are equally as technologized and have one-third less functions than guided ones. Therefore, lack of guidance is neither compensated with additional functions nor compensated by technologizing functions to a greater degree. Although several high-tech solutions could be found, the average system falls between a purely informational system and one that allows for data entry but without automatically processing these data. Moreover, no clear increase in the technological capabilities of systems showed in the field, between 2000 and 2017, despite a marked growth in system quantity. Finally, more sophisticated systems were evaluated less often in comparative trials than less sophisticated ones (OR 0.59). CONCLUSIONS The findings indicate that when developers create systems, there is a greater focus on implementing therapeutic treatment than adherence support. Although the field is very active, as evidenced by the growing number of systems developed per year, the technological possibilities explored are limited. In addition to allowing developers to compare their system with others, we anticipate that this review will help researchers identify opportunities in the field.

scholarly journals Recent developments in the treatment of major depressive disorder in children and adolescents

2018 ◽  
Vol 21 (3) ◽  
pp. 101-106 ◽  
Author(s):  
Haseena Hussain ◽  
Bernadka Dubicka ◽  
Paul Wilkinson
Keyword(s):  
Mental Health ◽  
Major Depressive Disorder ◽  
Mental Health Services ◽  
Young People ◽  
Health Services ◽  
Depressive Disorder ◽  
Antidepressant Medication ◽  
Child And Adolescent ◽  
Psychological Interventions ◽  
Major Depressive

Major depressive disorder in adolescents is an important public health concern. It is common, a risk factor for suicide and is associated with adverse psychosocial consequences. The UK National Institute for Health and Care Excellence guidelines recommend that children and young people with moderate-to-severe depression should be seen within Child and Adolescent Mental Health Services and receive specific psychological interventions, possibly in combination with antidepressant medication. Cognitive behavioural therapy (in some studies) and interpersonal psychotherapy have been demonstrated to be more effective than active control treatments for depressed adolescents. For children with depression, there is some evidence that family focused approaches are more effective than individual therapy. Fluoxetine is the antidepressant with the greatest evidence for effectiveness compared with placebo. Treatment with antidepressants and/or psychological therapy is likely to reduce suicidality, although in some young people, selective serotonin reuptake inhibitors lead to increased suicidality. There is limited evidence that combination of specific psychological therapy and antidepressant medication is better than treatment with monotherapy. There are methodological limitations in the published literature that make it difficult to relate study findings to the more severely ill clinical population in Child and Adolescent Mental Health Services. Young people should have access to both evidence-based psychological interventions and antidepressants for paediatric depression. Collaborative decisions on treatment should be made jointly by young people, their carers and clinicians, taking into account individual circumstances and potential benefits, risks and availability of treatment.

scholarly journals Aerobic exercise for adult patients with major depressive disorder in mental health services: A systematic review and meta-analysis

2018 ◽  
Vol 36 (1) ◽  
pp. 39-53 ◽  
Author(s):  
Ioannis D. Morres ◽  
Antonis Hatzigeorgiadis ◽  
Afroditi Stathi ◽  
Nikos Comoutos ◽  
Chantal Arpin-Cribbie ◽  
...  
Keyword(s):  
Mental Health ◽  
Systematic Review ◽  
Major Depressive Disorder ◽  
Mental Health Services ◽  
Health Services ◽  
Depressive Disorder ◽  
Aerobic Exercise ◽  
Meta Analysis ◽  
Adult Patients ◽  
Major Depressive

scholarly journals Challenges impacting functional recovery experienced by Mental Health Care Users with Major Depressive Disorder after a short-term admission to hospital

2021 ◽  
Vol 51 (2) ◽  
Author(s):  
Patricia A. de Witt ◽  
Nadia Roestorff-Hambrock ◽  
Fasloen Adams ◽  
Denise Franzsen
Keyword(s):  
Mental Health ◽  
Health Care ◽  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Mental Health Care ◽  
Functional Recovery ◽  
Structured Interviews ◽  
Short Term ◽  
Major Depressive ◽  
Hospital To Home

ABSTRACT INTRODUCTION: Major Depressive Disorder often has a chronic course. Mental Health Care Users (MHCUs) with this diagnosis report experiencing challenges with the transition to their home and in resuming their previous activities of daily living or their functional recovery after a short-term admission to hospital. This research aimed to explore these challenges which these MHCUs perceived had contributed to their re-admission within a six-month period METHODS: A qualitative descriptive design was used to explore these challenges. Data were gathered through semi-structured interviews with eleven participants and analysed thematically RESULTS: Data analysis generated two themes: 'Inability to fully benefit from the therapeutic programme' and Life was not what I expected it to be after discharge'. Participants reported struggling to participate fully in the occupational therapy programme during admission and with the abrupt transition from hospital to home. They reported challenges in implementing changes that they had committed to in hospital and a lack of support from significant others. The greatest challenge reported by participants was in the social participation category of occupation and their experiencing extreme loneliness and isolation after discharge CONCLUSION: The unresolved challenges experienced by participants during hospitalisation and after discharge were perceived to be detrimental to their functional recovery Keywords: major depressive disorder, mental health, re-admission, functional recovery

scholarly journals Technological State of the Art of Electronic Mental Health Interventions for Major Depressive Disorder: Systematic Literature Review

10.2196/12599 ◽  
2020 ◽  
Vol 22 (1) ◽  
pp. e12599 ◽  
Author(s):  
Franziska Burger ◽  
Mark A Neerincx ◽  
Willem-Paul Brinkman
Keyword(s):  
Mental Health ◽  
Health Care ◽  
Major Depressive Disorder ◽  
Literature Review ◽  
Depressive Disorder ◽  
Mental Health Care ◽  
High Tech ◽  
Support Functions ◽  
Major Depressive ◽  
Adherence Support

Background Electronic mental (e-mental) health care for depression aims to overcome barriers to and limitations of face-to-face treatment. Owing to the high and growing demand for mental health care, a large number of such information and communication technology systems have been developed in recent years. Consequently, a diverse system landscape formed. Objective This literature review aims to give an overview of this landscape of e-mental health systems for the prevention and treatment of major depressive disorder, focusing on three main research questions: (1) What types of systems exist? (2) How technologically advanced are these systems? (3) How has the system landscape evolved between 2000 and 2017? Methods Publications eligible for inclusion described e-mental health software for the prevention or treatment of major depressive disorder. Additionally, the software had to have been evaluated with end users and developed since 2000. After screening, 270 records remained for inclusion. We constructed a taxonomy concerning software systems, their functions, how technologized these were in their realization, and how systems were evaluated, and then, we extracted this information from the included records. We define here as functions any component of the system that delivers either treatment or adherence support to the user. For this coding process, an elaborate classification hierarchy for functions was developed yielding a total of 133 systems with 2163 functions. The systems and their functions were analyzed quantitatively, with a focus on technological realization. Results There are various types of systems. However, most are delivered on the World Wide Web (76%), and most implement cognitive behavioral therapy techniques (85%). In terms of content, systems contain twice as many treatment functions as adherence support functions, on average. Furthermore, autonomous systems, those not including human guidance, are equally as technologized and have one-third less functions than guided ones. Therefore, lack of guidance is neither compensated with additional functions nor compensated by technologizing functions to a greater degree. Although several high-tech solutions could be found, the average system falls between a purely informational system and one that allows for data entry but without automatically processing these data. Moreover, no clear increase in the technological capabilities of systems showed in the field, between 2000 and 2017, despite a marked growth in system quantity. Finally, more sophisticated systems were evaluated less often in comparative trials than less sophisticated ones (OR 0.59). Conclusions The findings indicate that when developers create systems, there is a greater focus on implementing therapeutic treatment than adherence support. Although the field is very active, as evidenced by the growing number of systems developed per year, the technological possibilities explored are limited. In addition to allowing developers to compare their system with others, we anticipate that this review will help researchers identify opportunities in the field.

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