scholarly journals Addressing Tri‐Morbidity (Hepatitis C, Psychiatric Disorders, and Substance Use): The Importance of Routine Mental Health Screening as a Component of a Comanagement Model of Care

2005 ◽  
Vol 40 (s5) ◽  
pp. S286-S291 ◽  
Author(s):  
Marian Fireman ◽  
David W. Indest ◽  
Aaron Blackwell ◽  
Ashlee J. Whitehead ◽  
Peter Hauser
Keyword(s):  
Mental Health ◽  
Substance Use ◽  
Hepatitis C ◽  
Psychiatric Disorders ◽  
Health Screening ◽  
Mental Health Screening ◽  
Model Of Care

scholarly journals Mental Health in Children with Cerebral Palsy: Does Screening Capture the Complexity?

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
H. M. Bjorgaas ◽  
I. Elgen ◽  
T. Boe ◽  
M. Hysing
Keyword(s):  
Mental Health ◽  
Cerebral Palsy ◽  
Psychiatric Disorders ◽  
Mental Health Problems ◽  
Health Problems ◽  
Health Screening ◽  
Mental Health Screening ◽  
High Prevalence ◽  
Children With Cerebral Palsy ◽  
Bergen Child Study

Introduction. Children with cerebral palsy (CP), one of the most common childhood neurological disorders, often have associated medical and psychological symptoms. This study assesses mental health problems compared to population controls and the ability of a mental health screening tool to predict psychiatric disorders and to capture the complexity of coexisting symptoms.Methods. Children with CP (N=47) were assessed according to DSM-IV criteria using a psychiatric diagnostic instrument (Kiddie-SADS) and a mental health screening questionnaire (SDQ). Participants from the Bergen Child Study, a large epidemiological study, served as controls.Results. Children with CP had significantly higher means on all problem scores including impact scores. Two in three children scored above 90th percentile cutoff on Total Difficulties Score (TDS), and 57% met criteria for a psychiatric disorder, yielding a sensitivity of 0.85 and a specificity of 0.55. Mental health problems coexisted across symptom scales, and peer problems were highly prevalent in all groups of psychiatric disorders.Conclusion. A high prevalence of mental health problems and cooccurrence of symptoms were found in children with CP compared to controls. Screening with SDQ detects mental health problems, but does not predict specific disorders in children with CP. ADHD is common, but difficult to diagnose due to complexity of symptoms. Mental health services integrated in regular followup of children with CP are recommended due to high prevalence and considerable overlap of mental health symptoms.

scholarly journals Psychological Screening and Tracking of Athletes and Digital Mental Health Solutions in a Hybrid Model of Care: Mini Review

10.2196/22755 ◽  
2020 ◽  
Vol 4 (12) ◽  
pp. e22755
Author(s):  
Luke Balcombe ◽  
Diego De Leo
Keyword(s):  
Mental Health ◽  
Machine Learning ◽  
Hybrid Model ◽  
Mental Health Problems ◽  
Health Screening ◽  
Mental Health Screening ◽  
Model Of Care ◽  
Psychological Screening ◽  
Prevention And Intervention ◽  
Digital Platforms

Background There is a persistent need for mental ill-health prevention and intervention among at-risk and vulnerable subpopulations. Major disruptions to life, such as the COVID-19 pandemic, present an opportunity for a better understanding of the experience of stressors and vulnerability. Faster and better ways of psychological screening and tracking are more generally required in response to the increased demand upon mental health care services. The argument that mental and physical health should be considered together as part of a biopsychosocial approach is garnering acceptance in elite athlete literature. However, the sporting population are unique in that there is an existing stigma of mental health, an underrecognition of mental ill-health, and engagement difficulties that have hindered research, prevention, and intervention efforts. Objective The aims of this paper are to summarize and evaluate the literature on athletes’ increased vulnerability to mental ill-health and digital mental health solutions as a complement to prevention and intervention, and to show relationships between athlete mental health problems and resilience as well as digital mental health screening and tracking, and faster and better treatment algorithms. Methods This mini review shapes literature in the fields of athlete mental health and digital mental health by summarizing and evaluating journal and review articles drawn from PubMed Central and the Directory of Open Access Journals. Results Consensus statements and systematic reviews indicated that elite athletes have comparable rates of mental ill-health prevalence to the general population. However, peculiar subgroups require disentangling. Innovative expansion of data collection and analytics is required to respond to engagement issues and advance research and treatment programs in the process. Digital platforms, machine learning, deep learning, and artificial intelligence are useful for mental health screening and tracking in various subpopulations. It is necessary to determine appropriate conditions for algorithms for use in recommendations. Partnered with real-time automation and machine learning models, valid and reliable behavior sensing, digital mental health screening, and tracking tools have the potential to drive a consolidated, measurable, and balanced risk assessment and management strategy for the prevention and intervention of the sequelae of mental ill-health. Conclusions Athletes are an at-risk subpopulation for mental health problems. However, a subgroup of high-level athletes displayed a resilience that helped them to positively adjust after a period of overwhelming stress. Further consideration of stress and adjustments in brief screening tools is recommended to validate this finding. There is an unrealized potential for broadening the scope of mental health, especially symptom and disorder interpretation. Digital platforms for psychological screening and tracking have been widely used among general populations, but there is yet to be an eminent athlete version. Sports in combination with mental health education should address the barriers to help-seeking by increasing awareness, from mental ill-health to positive functioning. A hybrid model of care is recommended, combining traditional face-to-face approaches along with innovative and evaluated digital technologies, that may be used in prevention and early intervention strategies.

scholarly journals Review of layperson screening tools and model for a holistic mental health screener in lower and middle income countries

2019 ◽  
Author(s):  
Aderibigbe Oluwakemi Olanike ◽  
Christopher M Perlman
Keyword(s):  
Mental Health ◽  
Substance Use ◽  
Human Resource ◽  
Health Workers ◽  
Health Screening ◽  
Mental Health Screening ◽  
Screening Tools ◽  
Community Based ◽  
Middle Income ◽  
Middle Income Countries

AbstractBackgroundThe needs of people diagnosed with Mental Neurological and Substance-Use (MNS) conditions are complex including interactions physical, social, medical and environmental factors. Treatment requires a multidisciplinary approach including health and social services at different levels of care. However, due to inadequate assessment, services and scarcity of human resource for mental health, treatment of persons diagnosed with MNS conditions in many LMICs is mainly facility-based pharmacotherapy with minimal non-pharmacology treatments and social support services. In low resource settings, gaps in human resource capacity may be met using layperson health workers. A layperson health working is one without formal mental health training and may be equivalent to community health worker (CHW) or less cadre in primary health care system.ObjectivesThis study reviewed layperson mental health screening tools for use in supporting mental health in developing countries, including the content and psychometric properties of the tools. Based on this review this study proposes recommendations for the design and effective use of layperson mental health screening tools based on the Five Pillars of global mental health.MethodsA systematic review was used to identify and examine the use of mental health screening tools among laypersons supporting community-based mental health programs. PubMed, Scopus, CINAHL and PsychInfo databases were reviewed using a comprehensive list of keywords and MESH terms that included mental health, screening tools, lay-person, lower and middle income countries. Articles were included if they describe mental health screening tools used by laypersons for screening, delivery or monitoring of MNS conditions in community-based program in LMICs. Diagnostic tools were not included in this study. Trained research interviewers or research assistants were not considered as lay health workers for this study.ResultsThere were eleven studies retained after 633 were screened. Twelve tools were identified covering specific disorders (E.g. alcohol and substance use, subcortical dementia associated with HIV/AIDS, PTSD) or common mental disorders (mainly depression and anxiety). These tools have been tested in LMICs including South Africa, Zimbabwe, Haiti, Malaysia, Pakistan, India, Ethiopia and Brazil. The included studies show that simple screening tools can enhance the value of laypersons and better support their roles in providing community-based mental health support. However, most of the layperson MH screening tools used in LMICs do not provide comprehensive information that can inform integrated comprehensive treatment planning and understanding of the broader mental health needs of the community.ConclusionDeveloping a layperson screening tools is vital for integrated community-based mental health intervention. This study proposed a holistic framework which considers the relationship between individual’s physical, mental and spiritual aspect of mental health, interpersonal as well as broader contextual determinants (community, policy and different level of the health system) that can be consulted for developing or selecting a layperson mental health screening instrument. More research are needed to evaluate the practical application of this framework.

scholarly journals Psychological Screening and Tracking of Athletes and Digital Mental Health Solutions in a Hybrid Model of Care: Mini Review (Preprint)

2020 ◽  
Author(s):  
Luke Balcombe ◽  
Diego De Leo
Keyword(s):  
Mental Health ◽  
Machine Learning ◽  
Hybrid Model ◽  
Mental Health Problems ◽  
Health Screening ◽  
Mental Health Screening ◽  
Model Of Care ◽  
Psychological Screening ◽  
Prevention And Intervention ◽  
Digital Platforms

BACKGROUND There is a persistent need for mental ill-health prevention and intervention among <i>at-risk</i> and vulnerable subpopulations. Major disruptions to life, such as the COVID-19 pandemic, present an opportunity for a better understanding of the experience of stressors and vulnerability. Faster and better ways of psychological screening and tracking are more generally required in response to the increased demand upon mental health care services. The argument that mental and physical health should be considered together as part of a biopsychosocial approach is garnering acceptance in elite athlete literature. However, the sporting population are unique in that there is an existing stigma of mental health, an underrecognition of mental ill-health, and engagement difficulties that have hindered research, prevention, and intervention efforts. OBJECTIVE The aims of this paper are to summarize and evaluate the literature on athletes’ increased vulnerability to mental ill-health and digital mental health solutions as a complement to prevention and intervention, and to show relationships between athlete mental health problems and resilience as well as digital mental health screening and tracking, and faster and better treatment algorithms. METHODS This mini review shapes literature in the fields of athlete mental health and digital mental health by summarizing and evaluating journal and review articles drawn from PubMed Central and the Directory of Open Access Journals. RESULTS Consensus statements and systematic reviews indicated that elite athletes have comparable rates of mental ill-health prevalence to the general population. However, peculiar subgroups require disentangling. Innovative expansion of data collection and analytics is required to respond to engagement issues and advance research and treatment programs in the process. Digital platforms, machine learning, deep learning, and artificial intelligence are useful for mental health screening and tracking in various subpopulations. It is necessary to determine appropriate conditions for algorithms for use in recommendations. Partnered with real-time automation and machine learning models, valid and reliable behavior sensing, digital mental health screening, and tracking tools have the potential to drive a consolidated, measurable, and balanced risk assessment and management strategy for the prevention and intervention of the sequelae of mental ill-health. CONCLUSIONS Athletes are an <i>at-risk</i> subpopulation for mental health problems. However, a subgroup of high-level athletes displayed a resilience that helped them to positively adjust after a period of <i>overwhelming</i> stress. Further consideration of stress and adjustments in brief screening tools is recommended to validate this finding. There is an unrealized potential for broadening the scope of mental health, especially symptom and disorder interpretation. Digital platforms for psychological screening and tracking have been widely used among general populations, but there is yet to be an eminent athlete version. Sports in combination with mental health education should address the barriers to help-seeking by increasing awareness, from mental ill-health to positive functioning. A hybrid model of care is recommended, combining traditional face-to-face approaches along with innovative and evaluated digital technologies, that may be used in prevention and early intervention strategies.

scholarly journals A Survey for Mental Health of Children Whose Parents Have Psychiatric Disorders: A Preliminary Study for Mental Health Screening of High Risk Children

2017 ◽  
Vol 28 (4) ◽  
pp. 235-243
Author(s):  
Hwo Yeon Seo ◽  
Su Mi Park ◽  
Yeni Kim ◽  
Young Hui Yang ◽  
Ji Yeuon Lee ◽  
...  
Keyword(s):  
Mental Health ◽  
High Risk ◽  
Psychiatric Disorders ◽  
Health Screening ◽  
Mental Health Screening ◽  
Preliminary Study ◽  
High Risk Children

Test-retest reliability of PsyCheck: a mental health screening tool for substance use treatment clients

2013 ◽  
Vol 6 (4) ◽  
pp. 168-175 ◽  
Author(s):  
Linda Jenner ◽  
Jacqui Cameron ◽  
Nicole K. Lee ◽  
Suzanne Nielsen
Keyword(s):  
Mental Health ◽  
Substance Use ◽  
Screening Tool ◽  
Health Screening ◽  
Mental Health Screening ◽  
Substance Use Treatment ◽  
Retest Reliability ◽  
Test Retest Reliability

Mental health screening system using intranet setting in a company.

1999 ◽  
Author(s):  
Minoru Arai ◽  
Daisuke Mori ◽  
Tetsu Kawamura ◽  
Hideo Fumimoto ◽  
Masagi Shimazaki ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Screening ◽  
Mental Health Screening ◽  
Screening System ◽  
A Company

Copenhagen Infant Mental Health Screening

2016 ◽  
Author(s):  
Janni Ammitzbøll ◽  
Bjørn E. Holstein ◽  
Lisbeth Wilms ◽  
Anette Andersen ◽  
Anne Mette Skovgaard
Keyword(s):  
Mental Health ◽  
Health Screening ◽  
Mental Health Screening ◽  
Infant Mental Health
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