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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).

Authors :
Turner, Alison
Mulla, Abeda
Aldridge, Shiona
Stevens, Sharon
Battye, Fraser
Spilsbury, Peter
Booth, Andrew
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]

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