scholarly journals Socio-economic disadvantage and resource distribution for mental health care; a model proposal and example application for Victoria, Australia

2020 ◽  
Author(s):  
Graham Meadows ◽  
Frances Shawyer ◽  
Shrinkhala Dawadi ◽  
Brett Inder ◽  
Joanne Enticott
Keyword(s):  
Mental Health ◽  
Health Care ◽  
Mental Health Care ◽  
Health Resources ◽  
Research Data ◽  
Economic Disadvantage ◽  
Health Resource ◽  
Epidemiological Evidence ◽  
Mental Health Resource ◽  
Illustrative Application

The attached pre-print (accepted manuscript ) paper describes an application of available epidemiological evidence in guiding the adjustment of mental health resources to areas. Described with an illustrative application in Victoria, Australia. We have also provided our research data as a supplementary spreadsheet to showcase our analytic approach (the spreadsheet cam also easily be adapted to calculate mental health resource adjustments in other states and territories, or nationally).

scholarly journals Socio-economic disadvantage and resource distribution for mental health care; a model proposal and example application for Victoria, Australia

2020 ◽  
Author(s):  
Graham Meadows ◽  
Frances Shawyer ◽  
Shrinkhala Dawadi ◽  
Brett Inder ◽  
Joanne Enticott
Keyword(s):  
Mental Health ◽  
Health Care ◽  
Mental Health Care ◽  
Health Resources ◽  
Research Data ◽  
Economic Disadvantage ◽  
Health Resource ◽  
Epidemiological Evidence ◽  
Mental Health Resource ◽  
Illustrative Application

The attached pre-print (accepted manuscript ) paper describes an application of available epidemiological evidence in guiding the adjustment of mental health resources to areas. Described with an illustrative application in Victoria, Australia. We have also provided our research data as a supplementary spreadsheet to showcase our analytic approach (the spreadsheet cam also easily be adapted to calculate mental health resource adjustments in other states and territories, or nationally).

scholarly journals Socio-economic disadvantage and resource distribution for mental health care; a model proposal and example application for Victoria, Australia

2020 ◽  
Author(s):  
Graham Meadows ◽  
Frances Shawyer ◽  
Shrinkhala Dawadi ◽  
Brett Inder ◽  
Joanne Enticott
Keyword(s):  
Mental Health ◽  
Health Care ◽  
Mental Health Care ◽  
Health Resources ◽  
Research Data ◽  
Economic Disadvantage ◽  
Health Resource ◽  
Epidemiological Evidence ◽  
Mental Health Resource ◽  
Illustrative Application

The attached pre-print (accepted manuscript ) paper describes an application of available epidemiological evidence in guiding the adjustment of mental health resources to areas. Described with an illustrative application in Victoria, Australia. We have also provided our research data as a supplementary spreadsheet to showcase our analytic approach (the spreadsheet cam also easily be adapted to calculate mental health resource adjustments in other states and territories, or nationally).

scholarly journals Socio-economic disadvantage and resource distribution for mental health care; a model proposal and example application for Victoria, Australia

2020 ◽  
Author(s):  
Graham Meadows ◽  
Frances Shawyer ◽  
Shrinkhala Dawadi ◽  
Brett Inder ◽  
Joanne Enticott
Keyword(s):  
Mental Health ◽  
Health Care ◽  
Health Resources ◽  
Research Data ◽  
Economic Disadvantage ◽  
Health Resource ◽  
Epidemiological Evidence ◽  
Working Paper ◽  
Mental Health Resource ◽  
Illustrative Application

The attached pre-print (working paper) paper describes an application of available epidemiological evidence in guiding the adjustment of mental health resources to areas. Described with an illustrative application in Victoria, Australia. We have also provided our research data as a supplementary spreadsheet to showcase our analytic approach (the spreadsheet cam also easily be adapted to calculate mental health resource adjustments in other states and territories, or nationally).

scholarly journals Socio-economic disadvantage and resource distribution for mental health care; a model proposal and example application for Victoria, Australia

2020 ◽  
Author(s):  
Graham Meadows ◽  
Frances Shawyer ◽  
Shrinkhala Dawadi ◽  
Brett Inder ◽  
Joanne Enticott
Keyword(s):  
Mental Health ◽  
Health Care ◽  
Health Resources ◽  
Research Data ◽  
Economic Disadvantage ◽  
Health Resource ◽  
Epidemiological Evidence ◽  
Working Paper ◽  
Mental Health Resource ◽  
Illustrative Application

The attached pre-print (working paper) paper describes an application of available epidemiological evidence in guiding the adjustment of mental health resources to areas. Described with an illustrative application in Victoria, Australia. We have also provided our research data as a supplementary spreadsheet to showcase our analytic approach (the spreadsheet cam also easily be adapted to calculate mental health resource adjustments in other states and territories, or nationally).

scholarly journals THE CULTIVATING SEEDS SYSTEM™ (CSS™): A POTENTIAL FRAMEWORK TO INCREASE MENTAL HEALTH RESOURCES

2017 ◽  
Vol 1 (1) ◽  
Author(s):  
Yvonne Larrier ◽  
Monica D. Allen ◽  
Irwin M.H. Larrier
Keyword(s):  
Mental Health ◽  
Health Care ◽  
Mental Health Care ◽  
Health Care Professionals ◽  
Mental Health Treatment ◽  
Global Mental Health ◽  
Health Resources ◽  
Mental Health Research ◽  
Middle Income ◽  
Treatment Research

Global mental health research is continuing to unearth the multiple systemic barriers that over 80% of the world’s population experiences in their search for cultural, contextual, and efficient mental health treatment and services. The widespread gaps and shortages in treatment, research, interventions, financial resources, and mental health care specialists are enduring and expansive thus leaving behind many communities and societies in low and middle income countries and high income countries. Whereas there are numerous approaches to these gaps, this article proposes a re-conceptualized approach to the promotion, practice, and intervention of mental health services locally and globally, with the Cultivating SEEDS System (CSS™) framework. This framework addresses two of the most prevalent barriers – the stigma associated with accessing mental health care resources, and the lack of mental health care professionals.

The Clergy as a Mental Health Resource: Parts I and II

1976 ◽  
Vol 30 (2) ◽  
pp. 103-115 ◽  
Author(s):  
Roger A. Bell ◽  
Robert R. Morris ◽  
Charles E. Holzer ◽  
George J. Warheit
Keyword(s):  
Mental Health ◽  
Health Care ◽  
Health Care Delivery ◽  
Care Delivery ◽  
Good Deal ◽  
Health Resource ◽  
Central Theme ◽  
Pastoral Education ◽  
Mental Health Resource ◽  
Parish Clergy

Parts I and II of this article contain some of the results of a recent research project conducted in an area of mid-Florida. The group surveyed was predominantly parish clergy. This article gives some indication of the results of this survey as it speaks to the issue of the clergy as a mental health resource. There is a good deal of serendipity data that spin off from the central theme. The article has immediate relevance for clinical pastoral education supervisors, parish clergy, and others in the field of health care delivery.

scholarly journals P119: Health care utilization by patients presenting to the emergency department with mental health complaints

CJEM ◽  
2017 ◽  
Vol 19 (S1) ◽  
pp. S118
Author(s):  
C. Thompson ◽  
S.L. McLeod ◽  
A. Sandre ◽  
B. Borgundvaag
Keyword(s):  
Mental Health ◽  
Emergency Department ◽  
Peer Support ◽  
Support Groups ◽  
Mental Healthcare ◽  
Health Resources ◽  
Care Utilization ◽  
Health Resource ◽  
Convenience Sample ◽  
Mental Health Resource

Introduction: Emergency department (ED) visits for mental health and addiction related complaints are common and appear to be increasing. It is believed these patients come to the ED requiring urgent assessment either because they do not have a primary care or psychiatric healthcare provider or access to their provider is not available in a timely fashion. The objective of this study was to describe healthcare utilization in the previous 12 months by patients presenting to the ED with a mental health complaint. Methods: Between April-November 2016, a convenience sample of adult (≥18 years) patients presenting to an academic ED (annual census 65,000) with a mental health and/or addictions complaint were invited to complete a paper-based survey to determine their usage of ten different mental healthcare resources over the previous 12 months. The questionnaire was pilot-tested and peer-reviewed for feasibility and comprehension. Results: Of the 134 patients who completed the survey, mean (SD) age was 37.9 (15.7) years and 64 (47.8%) were male. Only 7 (5.2%) patients did not access any mental health resource in the previous 12 months, and the most commonly accessed resource was hospital EDs (102, 76.1%), with 24 (23.5%) of these patients using the ED at least 6 times. Patients also accessed a variety of other mental health resources, with 28 (20.9%) seeing their family physician, 20 (14.9%) seeing their psychiatrist/psychologist, and 61 (45.5%) seeing both in the previous 12 months. Only 6 (5.9%) patients used the ED exclusively for a mental health related complaint. By comparison, respondents accessed other specific mental health resources such as crisis centres (19, 14.2%), helplines (34, 25.4%), and peer-support groups (24, 17.9%) less often. Conclusion: These findings suggest that the ED is the most commonly used mental health resource for this population. However, these patients also frequently access family physicians and psychiatrists/psychologists, with community resources such as crisis centres, helplines, and peer-support being used less often. This suggests that lack of timely access to other mental health resources may be the primary motivation for accessing the ED.

scholarly journals Predictors of Psychological Distress and Mental Health Resource Utilization among Employees in Malaysia

2021 ◽  
Vol 18 (1) ◽  
pp. 314
Author(s):  
Caryn Mei Hsien Chan ◽  
Siew Li Ng ◽  
Serena In ◽  
Lei Hum Wee ◽  
Ching Sin Siau
Keyword(s):  
Mental Health ◽  
Psychological Distress ◽  
Support Services ◽  
Health Resources ◽  
Health Conditions ◽  
Health Resource ◽  
Comorbid Conditions ◽  
Multivariate Logistic Regression ◽  
Cross Sectional ◽  
Mental Health Resource

We sought to examine predictors of psychological distress among employees as well as the level of awareness and usage of available mental health resources by employees through their own organizations. The Malaysian Healthiest Workplace survey cross-sectional dataset was used to explore the association between psychological distress, a range of health conditions, as well as mental health resource awareness and usage in a sample of 11,356 working Malaysian adults. A multivariate logistic regression was conducted to determine predictors of high psychological distress. Comorbid illnesses that were associated with psychological distress were mental illness (OR 6.7, 95% CI 4.39–10.14, p = 0.001), heart conditions (OR 2.17, 95% CI 1.18–3.99, p = 0.012), migraines (OR 1.59, 95% CI 1.33–1.90, p = 0.001), bronchial asthma (OR 1.43, 95% CI 1.11–1.85, p = 0.006), and hypertension (OR 1.42, 95% CI 1.07–1.88, p = 0.016) compared to individuals with no comorbid conditions. A total of 14 out of 17 comorbid medical illnesses were associated with elevated levels of psychological distress among employees. Awareness and usage of support services and resources for mental health were associated with lower psychological distress. These findings extend the literature by providing further evidence on the link between chronic illness, occupational type, as well as awareness and use of mental health resources by psychological distress status.

scholarly journals Resource Intensity for Children and Youth: The Development of an Algorithm to Identify High Service Users in Children’s Mental Health

2019 ◽  
Vol 12 ◽  
pp. 117863291982793 ◽  
Author(s):  
Shannon L Stewart ◽  
Jeff W Poss ◽  
Elizabeth Thornley ◽  
John P Hirdes
Keyword(s):  
Mental Health ◽  
Health Care ◽  
Mental Health Care ◽  
Health Resources ◽  
Decision Support Tool ◽  
Children’S Mental Health ◽  
Children And Youth ◽  
Children's Mental Health ◽  
Support Tool ◽  
Resource Intensity

Children’s mental health care plays a vital role in many social, health care, and education systems, but there is evidence that appropriate targeting strategies are needed to allocate limited mental health care resources effectively. The aim of this study was to develop and validate a methodology for identifying children who require access to more intense facility-based or community resources. Ontario data based on the interRAI Child and Youth Mental Health instruments were analysed to identify predictors of service complexity in children’s mental health. The Resource Intensity for Children and Youth (RIChY) algorithm was a good predictor of service complexity in the derivation sample. The algorithm was validated with additional data from 61 agencies. The RIChY algorithm provides a psychometrically sound decision-support tool that may be used to inform the choices related to allocation of children’s mental health resources and prioritisation of clients needing community- and facility-based resources.

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