Models of Local Mental Health Delivery Systems

Grusky, Oscar; Tierney, Kathleen J.; Holstein, James A.; Anspach, Renée R.; Davis, David; Unruh, David; Webster, Stephen D.; Vandewater, Steven; Allen, H. B.

doi:10.1177/000276485028005009

Cited by 21 publications

(4 citation statements)

References 12 publications

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“…Similarly, Rogers, Anthony, & Danley (1988) found improved vocational outcomes in two pilot areas participating in interagency training and joint policy-making activities; other areas in the state didn't show the same increase until 2 years later. Several case studies also describe different ways of organizing community support systems to facilitate interagency cooperation, but no outcome data are available (Grusky et al, 1985; Morrissey, Tausig, & Lindsey, 1985).…”

Section: Crisis Response Servicesmentioning

confidence: 99%

Research on community support services: What have we learned.

Anthony¹,

Blanch²

1989

Psychosocial Rehabilitation Journal

113

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This article reports the results of a comprehensive review of published literature related to the essential components of a CSS. Each component is analyzed with respect to its documented need, effective intervention strategies, and cost. The need for the types of services and supports initially conceptualized as a CSS in the mid-1970s has been well documented. Also, prior research has now set the stage for large-scale, long-term, experimental studies of measurable, replicable CSS-type interventions.There is a developing base of research relevant to community support systems (CSS). Reviews of a variety of research studies have reported that persons with severe and long-term mental illness can be helped in the community without undergoing long-term hospitalization (

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Section: Crisis Response Servicesmentioning

confidence: 99%

Research on community support services: What have we learned.

Anthony¹,

Blanch²

1989

Psychosocial Rehabilitation Journal

113

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“…These include mental health service networks (Alter and Hage 1993;Goldman et al 1992;Grusky et al 1985;Morrisey, Tausig, and Lindsey 1991), aged service networks (Bolland and Wilson 1994;Kaluzny and Fried 1986), AIDs services (Dill 1994), child abuse services (Byles 1985;Hochstadt and Harwicke 1985), and trauma networks (Bazzoli et al 1995;Bazzoli, Harmata, and Chan, forthcoming). In addition, health providers are currently aligning both horizontally and vertically to achieve mutual objectives that include obtaining purchasing advantages (Christianson, Moscovice, and Wellever 1995;Kaluzny and Zuckerman 1992) and providing a continuum of services to facilitate the acceptance and management of financial risk (Burns and Thorpe 1995;Conrad 1993;Dowling 1995;Gillies et al 1993;.…”

mentioning

confidence: 99%

Public–Private Collaboration in Health and Human Service Delivery: Evidence from Community Partnerships

et al. 1997

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Gr o w i n g r e s o u r c e c o n s t r a i n t s h a v e increased the need for, and willingness of, organizations to work together (Alter and Hage 1993;Christianson, Moscovice, and Wellever 1995; Kimberly, Leatt, and Shortell 1983;Pfeffer and Salancik 1978). Across the United States public-private partnerships are forming to develop the community infrastructure for assessment, planning, and evaluation of community health needs and to integrate health and human services into collaborative service networks. Existing research has explored two types of collaborative networks: (1) local coalitions of public and private stakeholders that focus on public health and community planning; and (2) service delivery networks that seek to coordinate and provide collaboratively a continuum of services. Our research focuses on public-private partnerships that join these two types of networks.With the failure of the most recent attempt at federal health reform and the growing financial pressures on service providers, public and private community leaders are looking more often to these types of *Coauthors of the article are

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“…Specifically, we tested the hypothesis that TPs for service systems coded as recovery oriented (R) (services more comprehensive, evidence based, and rehabilitation oriented) would be more positive and less negative than systems coded as basic (B) (services least comprehensive, minimally evidence based, and not rehabilitation oriented) or as maintenance oriented (M) (services moderately comprehensive, treatments as usual, minimally evidence based, and rehabilitation oriented) by testing predictions that TPs would be more positive for R systems than for B and M systems and would be more positive and less negative for M systems than for B systems. Our theory that service systems could be coded as B, M, and R was based on a body of evaluation and planning studies typically comparing from two to four systems categorized as "lower cost," "services as usual," "more restrictive," "lower quality," or "minimal" with those categorized as "higher cost," "enhanced," "less restrictive," "higher quality, "community based," or "evidence based" (15)(16)(17)(18)(19)(20). Our goal was to better understand service recipient and study factors that might influence or bias TPs and identify scientific questions for further study in order to contribute to guidelines for collecting, synthesizing, and reporting TP data for scientific and planning purposes (21,22).…”

Section: Specific Objectivesmentioning

confidence: 99%

No Magic Bullet: A Theory-Based Meta-Analysis of Markov Transition Probabilities in Studies of Service Systems for Persons With Mental Disabilities

Leff

Chow

Graves

2017

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R systems performed better than M and B systems. However, M systems did not perform better than B systems. All systems showed negative as well as positive TPs. For approximately one-third of synthesized TPs, substantial interstudy heterogeneity was noted. Associations were found between TPs and service recipient and study variables Conclusions: Conceptualizing systems as B, M, and R has potential for improving scientific understanding and systems planning. R systems appear more effective than B and M systems, although there is no "magic bullet" system for all service recipients. Interstudy heterogeneity indicates need for common approaches to reporting service recipient states, time periods for TPs, service recipient attributes, and service system characteristics. TPs found should be used in Markov simulations to project system effectiveness and costs of over time.

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Models of Local Mental Health Delivery Systems

Cited by 21 publications

References 12 publications

Research on community support services: What have we learned.

Research on community support services: What have we learned.

Public–Private Collaboration in Health and Human Service Delivery: Evidence from Community Partnerships

No Magic Bullet: A Theory-Based Meta-Analysis of Markov Transition Probabilities in Studies of Service Systems for Persons With Mental Disabilities

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