Predicting whether patients receive continuity of care after discharge from state hospitals: Policy implications

Sarah P. Farrell; Michael Blank; J. Randy Koch; Barbara Munjas; Dolores G. Clement

doi:10.1016/s0883-9417(99)80059-4

Predicting whether patients receive continuity of care after discharge from state hospitals: Policy implications

Sarah P. Farrell, Michael Blank, J. Randy Koch, Barbara Munjas, Dolores G. Clement

Research output: Contribution to journal › Article › peer-review

22 Scopus citations

Abstract

This article reports the results of a comprehensive study of predictors of factors influencing continuity of care for individuals discharged from state hospitals to communities. Continuity of care is defined and the predisposing, enabling and need factors are examined using a statewide database. The conceptual model is based on community support system principles, and it drives the research. The findings will influence policy, which will then affect community support system principles. Logistic regression analysis is employed as statistical analysis that lends itself to graphical form. Implications for policy and future research are presented.

Original language	English
Pages (from-to)	279-285
Number of pages	7
Journal	Archives of Psychiatric Nursing
Volume	13
Issue number	6
DOIs	https://doi.org/10.1016/s0883-9417(99)80059-4
State	Published - Dec 1999
Externally published	Yes

Bibliographical note

Funding Information:
From the 1University of Virginia, Charlottesville; the 2 Virginia Department of Mental Health, Mental Retardation and Substance Abuse Services, Richmond; and the 3Medical College of Virginia, Virginia Commonwealth University, Richmond. The authors are associated with the Southeastern Rural Mental Health Research Center. Supported in part by a grant from the National Institute of Mental Health (P50-MH49173). Address reprint requests to Sarah P. Farrell, Ph.D., University of Virginia, School of Nursing, McLeod Hall, 202 15th St, SW, Charlottesville, VA 22903-3320. Copyright© 1999 by W.B. Saunders Company 0883-9417/99/1306-000I $10. 00/0

Funding

From the 1University of Virginia, Charlottesville; the 2 Virginia Department of Mental Health, Mental Retardation and Substance Abuse Services, Richmond; and the 3Medical College of Virginia, Virginia Commonwealth University, Richmond. The authors are associated with the Southeastern Rural Mental Health Research Center. Supported in part by a grant from the National Institute of Mental Health (P50-MH49173). Address reprint requests to Sarah P. Farrell, Ph.D., University of Virginia, School of Nursing, McLeod Hall, 202 15th St, SW, Charlottesville, VA 22903-3320. Copyright© 1999 by W.B. Saunders Company 0883-9417/99/1306-000I $10. 00/0

Funders	Funder number
National Institute of Mental Health	P50MH049173

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/s0883-9417(99)80059-4

Cite this

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abstract = "This article reports the results of a comprehensive study of predictors of factors influencing continuity of care for individuals discharged from state hospitals to communities. Continuity of care is defined and the predisposing, enabling and need factors are examined using a statewide database. The conceptual model is based on community support system principles, and it drives the research. The findings will influence policy, which will then affect community support system principles. Logistic regression analysis is employed as statistical analysis that lends itself to graphical form. Implications for policy and future research are presented.",

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Predicting whether patients receive continuity of care after discharge from state hospitals: Policy implications

Abstract

Bibliographical note

Funding

UN SDGs

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