Daily steps and depressive symptoms: A longitudinal evaluation of patients with Major Depressive Disorder in the Precision Medicine in Mental Health Care study

2022 ◽  
Author(s):  
Christine M. Ramsey ◽  
Kevin G. Lynch ◽  
Philip R. Gehrman ◽  
Srinivasan Vairavan ◽  
Vaibhav A. Narayan ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Care ◽  
Major Depressive Disorder ◽  
Depressive Symptoms ◽  
Depressive Disorder ◽  
Mental Health Care ◽  
Precision Medicine ◽  
Major Depressive ◽  
Longitudinal Evaluation ◽  
Care Study

Prevalence of predicted gene-drug interactions for antidepressants in the treatment of major depressive disorder in the Precision Medicine in Mental Health Care Study

2021 ◽  
Vol 282 ◽  
pp. 1272-1277
Author(s):  
Christine M. Ramsey ◽  
Kevin G. Lynch ◽  
Michael E. Thase ◽  
Joel Gelernter ◽  
Henry R. Kranzler ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Care ◽  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Mental Health Care ◽  
Drug Interactions ◽  
Precision Medicine ◽  
Major Depressive ◽  
Care Study

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 Cognitive Therapy or Behavioral Activation for Major Depressive Disorder in Dutch Mental Health Care: Pilot Effectiveness and Process Trial

2018 ◽  
Vol 11 (3) ◽  
pp. 343-358 ◽  
Author(s):  
Felix Bolinski ◽  
Gert-Jan Hendriks ◽  
Seline Bardoel ◽  
Steven D. Hollon ◽  
Christopher Martell ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Care ◽  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Mental Health Care ◽  
Cognitive Therapy ◽  
Behavioral Activation ◽  
Major Depressive ◽  
Process Trial

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.

Effectiveness of the Coping With Depression (CWD) course for older adults provided by the community-based mental health care system in the Netherlands: a randomized controlled field trial

2005 ◽  
Vol 18 (2) ◽  
pp. 307-325 ◽  
Author(s):  
R. Haringsma ◽  
G. I. Engels ◽  
P. Cuijpers ◽  
P. Spinhoven
Keyword(s):  
Mental Health ◽  
Older Adults ◽  
Health Care ◽  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Mental Health Care ◽  
Community Based ◽  
Major Depressive ◽  
Mental Health Care System ◽  
Subclinical Depression

Background: The Dutch version of the Coping With Depression (CWD) course for older adults has been implemented in the prevention arm of the community-based mental health care system in the Netherlands. The study group included older adults with subclinical depression as well as those with a major depressive disorder; all were enrolled into the course by mental health care professionals. The effectiveness (immediate and long-term) of the course for this heterogeneous population was studied in an effectiveness trial.Method: Participants were self-referred, responding to media announcements. A total of 119 participants aged 55–85 years (69% female), with subclinical depression and major depression, were randomized to either the CWD course (N = 61) or the waiting list (N = 58).Results: Nine participants dropped out of the course. According to a diagnostic interview based on the DSM-IV, 39% had a major depressive disorder (MDD), 69% had had a previous MDD, and 45% had an anxiety disorder. Older adults in the intervention group showed a significant decrease in depression symptoms. Gains were maintained over 14 months. In the intervention condition 83% had a pre-treatment score ≥ 16 on the Center for Epidemiologic Studies Depression Scale (CES-D); at post-treatment 62% still scored ≥ 16.Conclusions: The course was beneficial for participants with mild or severe depression, and treatment acceptability was high. It should be fitted into a stepped-care protocol that varies intervention intensity according to clinical needs, using the post-treatment level of functioning as an indication for the next step.

scholarly journals Depression among health workers caring for patients with COVID-19 in Egypt

2021 ◽  
Vol 57 (1) ◽  
Author(s):  
Hayam Mohamed Elgohary ◽  
Mohammad Gamal Sehlo ◽  
Medhat Mohamed Bassiony ◽  
Usama Mahmoud Youssef ◽  
Dina Sameh Elrafey ◽  
...  
Keyword(s):  
Health Care ◽  
Major Depressive Disorder ◽  
Depressive Symptoms ◽  
Depressive Disorder ◽  
Health Care Providers ◽  
Health Care Workers ◽  
Psychiatric Disease ◽  
Care Providers ◽  
Major Depressive ◽  
Care Workers

Abstract Background Health care workers caring for patients with COVID-19 pandemic are prone to extraordinary stressors and psychological problems. The aim of this study was to estimate the prevalence and risk factors of major depressive disorder among health care providers who are caring for patients with COVID-19. Methods Two hundred-seventy of health care workers were screened for depressive symptoms by DASS-21 Questionnaire. Only 152 of the participants accepted to be interviewed using SCID-I for diagnosis of major depressive disorder. Results According to DASS-21, 28.1% of HCWs had mild-to-moderate depressive symptoms, and 64.8% with severe symptoms. Of 152 who were interviewed using SCID-I, 74.3% were diagnosed with major depression disorder. Young age, decreased sleep hours, female sex, past history of a psychiatric disease, fear of COVID-19 infection for themselves or their relatives, and fear of death with COVID-19 for themselves or their relatives were significant predictors for major depressive disorder and its severity. Conclusion Major depressive disorder is common among HCWs during COVID-19 pandemic. Screening for depression, particularly for young females, and early treatment are recommended.

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