‘You don't take things too seriously or un‐seriously’: Beyond recovery to liminal and liminoid possibility in a community arts and mental health project

Author(s):  
Cassie Laver ◽  
Laura McGrath ◽  
Rachel Jane Liebert ◽  
Tehseen Noorani ◽  
Nick Barnes ◽  
...  
2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Pallab K Maulik ◽  
Sudha Kallakuri ◽  
Siddhardha Devarapalli ◽  
Vamsi Krishna Vadlamani ◽  
Vivekanand Jha ◽  
...  

2018 ◽  
Vol 3 ◽  
pp. 43
Author(s):  
Pallab K. Maulik ◽  
Sudha Kallakuri ◽  
Siddhardha Devarapalli

Background: There are large gaps in the delivery of mental health care in low- and middle-income countries such as India, and the problems are even more acute in rural settings due to lack of resources, remoteness, and lack of infrastructure, amongst other factors. The Systematic Medical Appraisal Referral and Treatment (SMART) Mental Health Project was conceived as a mental health services delivery model using technology-based solutions for rural India. This paper reports on the operational strategies used to facilitate the implementation of the intervention. Method: Key components of the SMART Mental Health Project included delivering an anti-stigma campaign, training of primary health workers in screening, diagnosing and managing stress, depression and increased suicide risk and task sharing of responsibilities in delivering care; and using mobile technology based electronic decision support systems to support delivery of algorithm based care for such disorders. The intervention was conducted in 42 villages across two sites in the state of Andhra Pradesh in south India. A pre-post mixed methods evaluation was done, and in this paper operational challenges are reported. Results: Both quantitative and qualitative results from the evaluation from one site covering about 5000 adults showed that the intervention was feasible and acceptable, and initial results indicated that it was beneficial in increasing access to mental health care and reducing depression and anxiety symptoms. A number of strategies were initiated in response to operational challenges to ensure smoother conduct of the project and facilitated the project to be delivered as envisaged. Conclusions: The operational strategies initiated for this project were successful in ensuring the delivery of the intervention. Those, coupled with other more systematic processes have informed the researchers to understand key processes that need to be in place to develop a more robust study, that could eventually be scaled up.


1970 ◽  
Vol 126 (12) ◽  
pp. 1711-1717 ◽  
Author(s):  
EMILY MUMFORD ◽  
BENJAMIN H. BALSER ◽  
MALCOLM RUCKER

Author(s):  
Emory L. Cowen ◽  
A. Dirk Hightower ◽  
JoAnne L. Pedro-Carroll ◽  
William C. Work ◽  
Peter A. Wyman ◽  
...  
Keyword(s):  

2001 ◽  
Vol 35 (5) ◽  
pp. 639-646 ◽  
Author(s):  
Jane Pirkis ◽  
Helen Herrman ◽  
Isaac Schweitzer ◽  
Alison Yung ◽  
Margaret Grigg ◽  
...  

Objective: In Australia, mental health services are delivered by a complex web of publicand private-sector providers. There is a growing recognition that linkages between these groups are not optimal, and a concern that this may lead to poor outcomes. This paper illustrates a conceptual framework for developing, implementing and evaluating programmes concerned with linkages. Method: Drawing on theoretical and practical literature, this paper identifies different levels of integration, issues in evaluating programmes to address poor linkages, and features of useful evaluations. Within this context, it describes the method by which the Public and Private Partnerships in Mental Health Project (Partnership Project) is being evaluated. Conducted by St Vincent's Mental Health Service and The Melbourne Clinic, this is one of several Demonstration Projects in Integrated Mental Health Care funded under the National Mental Health Strategy. Results: Collaboration is hard to conceptualize and collaborative programmes usually have many players and components, and tend to operate within already-complex systems. This creates difficulties for evaluation, in terms of what to measure, how to measure it, and how to interpret findings. In spite of these difficulties, the illustrative example demonstrates a model for evaluating collaborative programmes that is currently working well because it is strongly conceptualized, descriptive, comparative, constructively sceptical, positioned from the bottom up, and collaborative. Conclusions: This model, or aspects of it, could be extended to the evaluation of other mental health programmes and services that have collaborative elements.


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