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An evidence synthesis of the international knowledge base for new care models to inform and mobilise knowledge for multispecialty community providers (MCPs).
- Source :
- Systematic Reviews; 10/1/2016, Vol. 5, p1-7, 7p
- Publication Year :
- 2016
-
Abstract
- Background: NHS England’s Five Year Forward View (NHS England, Five Year Forward View, 2014) formally introduced a strategy for new models of care driven by simultaneous pressures to contain costs, improve care and deliver services closer to home through integrated models. This synthesis focuses on a multispecialty community provider (MCP) model. This new model of care seeks to overcome the limitations in current models of care, often based around single condition-focused pathways, in contrast to patient-focused delivery (Royal College of General Practitioners, The 2022 GP: compendium of evidence, 2012) which offers greater continuity of care in recognition of complex needs and multimorbidity. Methods: The synthesis, an innovative combination of best fit framework synthesis and realist synthesis, will develop a “blueprint” which articulates how and why MCP models work, to inform design of future iterations of the MCP model. A systematic search will be conducted to identify research and practice-derived evidence to achieve a balance that captures the historical legacy of MCP models but focuses on contemporary evidence. Sources will include bibliographic databases including MEDLINE, PreMEDLINE, CINAHL, Embase, HMIC and Cochrane Library; and grey literature sources. The Best Fit synthesis methodology will be combined with a synthesis following realist principles which are particularly suited to exploring what works, when, for whom and in what circumstances. Discussion: The aim of this synthesis is to provide decision makers in health and social care with a practical evidence base relating to the multispecialty community provider (MCP) model of care. [ABSTRACT FROM AUTHOR]
- Subjects :
- PRIMARY health care
INTEGRATED health care delivery
Subjects
Details
- Language :
- English
- ISSN :
- 20464053
- Volume :
- 5
- Database :
- Complementary Index
- Journal :
- Systematic Reviews
- Publication Type :
- Academic Journal
- Accession number :
- 118517877
- Full Text :
- https://doi.org/10.1186/s13643-016-0346-x