scholarly journals The mental health consumer movement and peer providers in Israel

2018 ◽  
Vol 27 (5) ◽  
pp. 420-426 ◽  
Author(s):  
G. S. Moran
Keyword(s):  
Mental Health ◽  
Health System ◽  
Peer Support ◽  
Mental Health System ◽  
Community Integration ◽  
Models Of Care ◽  
Community Services ◽  
Unique Contribution ◽  
Consumer Movement ◽  
The Impact

Self-help peer-support groups in Israel emerged in the 1980s and, over time, dynamically interacted and co-developed with the statutory mental health (MH) system. In this editorial, I outline historical milestones of how the evolution of the Israeli mental health system was influenced by the consumer movement. A brief depiction of the consumer movement history. At first, consumers operated outside of the mainstream MH system. Gradually, consumer groups and institutional personnel joined efforts towards community integration and enhancement of quality of life, pushing forward a person-centered recovery orientation. In turn, some administrators and key stakeholders in rehabilitation community services grew to value the impact of knowledge-by-experience in contemporary mental health care. In this context, over the past decade, peer roles were developed in the mental health system, including consumer-providers in community services and peer specialists in inpatient psychiatric hospitals. The insertion of peer roles into the mainstream MH system is far-reaching, including the placement of a peer-project coordinator within the ministry of health. I describe the unique contribution of peers, as experts-by-experience, to mainstream professional knowledge and practice. I also highlight the potential challenges involved when peer models of care are added to traditional medical models of care. The Israeli case demonstrates how the consumer movement can play an active role in MH systems and be acknowledged and recognised as a partner for changing policy, practice and reshaping formal institutions. In addition, they play a vital role in the development of peer-support services.

scholarly journals The Impact of Technology-Enabled Care Coordination in a Complex Mental Health System: A Local System Dynamics Model (Preprint)

2020 ◽  
Author(s):  
Frank Iorfino ◽  
Jo-An Occhipinti ◽  
Adam Skinner ◽  
Tracey Davenport ◽  
Shelley Rowe ◽  
...  
Keyword(s):  
Mental Health ◽  
Growth Rate ◽  
Psychological Distress ◽  
Health System ◽  
Care Coordination ◽  
Mental Health System ◽  
Service Capacity ◽  
Health Related ◽  
Care Systems ◽  
The Impact

BACKGROUND Prior to the COVID-19 pandemic, major shortcomings in the way mental health care systems were organized were impairing the delivery of effective care. The mental health impacts of the pandemic, the recession, and the resulting social dislocation will depend on the extent to which care systems will become overwhelmed and on the strategic investments made across the system to effectively respond. OBJECTIVE This study aimed to explore the impact of strengthening the mental health system through technology-enabled care coordination on mental health and suicide outcomes. METHODS A system dynamics model for the regional population catchment of North Coast New South Wales, Australia, was developed that incorporated defined pathways from social determinants of mental health to psychological distress, mental health care, and suicidal behavior. The model reproduced historic time series data across a range of outcomes and was used to evaluate the relative impact of a set of scenarios on attempted suicide (ie, self-harm hospitalizations), suicide deaths, mental health–related emergency department (ED) presentations, and psychological distress over the period from 2021 to 2030. These scenarios include (1) business as usual, (2) increase in service capacity growth rate by 20%, (3) standard telehealth, and (4) technology-enabled care coordination. Each scenario was tested using both pre– and post–COVID-19 social and economic conditions. RESULTS Technology-enabled care coordination was forecast to deliver a reduction in self-harm hospitalizations and suicide deaths by 6.71% (95% interval 5.63%-7.87%), mental health–related ED presentations by 10.33% (95% interval 8.58%-12.19%), and the prevalence of high psychological distress by 1.76 percentage points (95% interval 1.35-2.32 percentage points). Scenario testing demonstrated that increasing service capacity growth rate by 20% or standard telehealth had substantially lower impacts. This pattern of results was replicated under post–COVID-19 conditions with technology-enabled care coordination being the only tested scenario, which was forecast to reduce the negative impact of the pandemic on mental health and suicide. CONCLUSIONS The use of technology-enabled care coordination is likely to improve mental health and suicide outcomes. The substantially lower effectiveness of targeting individual components of the mental health system (ie, increasing service capacity growth rate by 20% or standard telehealth) reiterates that strengthening the whole system has the greatest impact on patient outcomes. Investments into more of the same types of programs and services alone will not be enough to improve outcomes; instead, new models of care and the digital infrastructure to support them and their integration are needed.

scholarly journals FINANCIAR LA SALUD MENTAL EN NUESTRO PAÍS ES POSIBLE, SOLO TENEMOS QUE PREVENIR Y PLANEAR

2015 ◽  
Vol 20 (58) ◽  
pp. 113-120
Author(s):  
Armando Mayo Castro ◽  
Beatriz Pérez Sánchez ◽  
Andrés Guzmán Sala
Keyword(s):  
Mental Health ◽  
Health System ◽  
Mental Health System ◽  
Well Being ◽  
Degenerative Diseases ◽  
The Public ◽  
El Sistema ◽  
Salud Mental ◽  
The Impact ◽  
Mental Well Being

RESUMEN: Objetivo: Definir un modelo de promoción de la cultura en el bienestar mental como parte importante de la salud integral, identificando el impacto de las patologías y de las comorbilidades que generan incidencia en patologías crónico degenerativas y oncológicas. Prevenir y planear para no incurrir en costos innecesarios. Material y método: Los métodos que se utilizaron fueron analítico, crítico y prospectivo. El enfoque fue de finanzas públicas en el sistema de salud mental. Los hallazgos se sustentan en la rigurosidad propia de la información estadística conocida, en el contrastar de la realidad y en el ejercicio creativo de la interpretación que proporciona la revisión documental seria. Resultados: Vincular las acciones de promoción, la creación de una cultura de salud mental y la importancia de las finanzas públicas para el desarrollo del modelo. La planeación y la prevención como herramientas de ahorro y de cuidar la inversión público- privada. Conclusiones: El modelo contiene cinco acciones: Relacionarse con las personas de tu alrededor, salir de paseo, ser curioso, continuar aprendiendo y dar con generosidad; lo que se obtendrá es: presupuestar financieramente y con mejor estrategia, el sistema de salud mental en nuestro entorno. ABSTRACT: Objective: Define a model of culture in promoting mental well-being as an important part of overall health, identifying the impact of diseases and comorbidities that generate impact on chronic degenerative diseases and cancer. Material and method: The methods used were analytical, critical and prospective. The focus was on public finances in the mental health system. The findings are based on the very rigor of statistical information known, in contrast reality and the creative exercise of interpretation that provides serious documentary review. Results: Link promotion actions , creating a culture of mental health and the importance of public finance for the development of the model. Planning tools and prevention as savings and care for the public- private investment. Conclusions: The model contains five parts: Interacting with people around you, go for a walk, be curious, keep learning and give generously; what you get is: financially and better budgeting strategy, the mental health system in our environment.

scholarly journals In re Roger S.: The Impact of a Child's Due Process Victory on the California Mental Health System

1982 ◽  
Vol 70 (2) ◽  
pp. 373 ◽  
Author(s):  
Carol K. Dillon ◽  
Margaret Rockwell Roisman ◽  
Joel S. Sanders ◽  
Betsy Buchalter Adler
Keyword(s):  
Mental Health ◽  
Health System ◽  
Mental Health System ◽  
Due Process ◽  
The Impact

scholarly journals Improving Moderator Responsiveness in Online Peer Support Through Automated Triage (Preprint)

2018 ◽  
Author(s):  
David N Milne ◽  
Kathryn L. McCabe ◽  
Rafael A. Calvo
Keyword(s):  
Mental Health ◽  
Machine Learning ◽  
Peer Support ◽  
Response Latency ◽  
Mental Health Problems ◽  
Well Being ◽  
Unique Contribution ◽  
Triage System ◽  
Percentage Points ◽  
The Impact

BACKGROUND Online peer support forums require oversight to ensure they remain safe and therapeutic. As online communities grow, they place a greater burden on their human moderators, which increases the likelihood that people at risk may be overlooked. This study evaluated the potential for machine learning to assist online peer support by directing moderators’ attention where it is most needed. OBJECTIVE This study aimed to evaluate the accuracy of an automated triage system and the extent to which it influences moderator behavior. METHODS A machine learning classifier was trained to prioritize forum messages as green, amber, red, or crisis depending on how urgently they require attention from a moderator. This was then launched as a set of widgets injected into a popular online peer support forum hosted by ReachOut.com, an Australian Web-based youth mental health service that aims to intervene early in the onset of mental health problems in young people. The accuracy of the system was evaluated using a holdout test set of manually prioritized messages. The impact on moderator behavior was measured as response ratio and response latency, that is, the proportion of messages that receive at least one reply from a moderator and how long it took for these replies to be made. These measures were compared across 3 periods: before launch, after an informal launch, and after a formal launch accompanied by training. RESULTS The algorithm achieved 84% f-measure in identifying content that required a moderator response. Between prelaunch and post-training periods, response ratios increased by 0.9, 4.4, and 10.5 percentage points for messages labelled as crisis, red, and green, respectively, but decreased by 5.0 percentage points for amber messages. Logistic regression indicated that the triage system was a significant contributor to response ratios for green, amber, and red messages, but not for crisis messages. Response latency was significantly reduced (P<.001), between the same periods, by factors of 80%, 80%, 77%, and 12% for crisis, red, amber, and green messages, respectively. Regression analysis indicated that the triage system made a significant and unique contribution to reducing the time taken to respond to green, amber, and red messages, but not to crisis messages, after accounting for moderator and community activity. CONCLUSIONS The triage system was generally accurate, and moderators were largely in agreement with how messages were prioritized. It had a modest effect on response ratios, primarily because moderators were already more likely to respond to high priority content before the introduction of triage. However, it significantly and substantially reduced the time taken for moderators to respond to prioritized content. Further evaluations are needed to assess the impact of mistakes made by the triage algorithm and how changes to moderator responsiveness impact the well-being of forum members.

Mental health certified peer specialists: Integrating peer support into the mental health system

2009 ◽  
Author(s):  
Scott Wituk ◽  
Emily Grant ◽  
Nathan Patrick Swink ◽  
Ashlee Keele-Lien ◽  
Crystal Reinhart ◽  
...  
Keyword(s):  
Mental Health ◽  
Health System ◽  
Peer Support ◽  
Mental Health System ◽  
Peer Specialists
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