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Using evidence-based guidelines to inform service provision : a structured mapping exercise within the National Health Service Diabetes Prevention Programme in England.

Haste, Anna and Penn, Linda and Rodrigues, Angela M. and Marques, Marta M. and Budig, Kirsten and Bell, Ruth and Summerbell, Carolyn and White, Martin and Adamson, Ashley J. and Sniehotta, Falko F. (2018) 'Using evidence-based guidelines to inform service provision : a structured mapping exercise within the National Health Service Diabetes Prevention Programme in England.', BMC research notes., 11 (1). p. 510.

Abstract

Objective The National Health Service (NHS) in England planned a national diabetes prevention programme (NHS DPP) with phased implementation. Evidence-based guidelines and service specifications support efficient and effective translation of research into practice. We aimed to evaluate the use of a structured mapping exercise to appraise how evidence, service specification and early phase practice could inform recommendations to guide subsequent implementation of the NHS DPP. Results The mapping exercise facilitated comparison and appraisal of key components from different documentary sources (evidence-based NICE guidelines, service specification, and provider documents). Key components were categorised into (A) pathways into programmes, (B) intervention content (C) inequalities and (D) quality assurance and staff training. We identified where key components were the same (accordance), where they varied (discrepancies) and where they were lacking (discontinuities), across the documentary sources. For example there was discrepancy in intervention duration and discontinuity in intervention enrolment procedures. This mapping exercise was useful to compare the fidelity in translation of evidence-based guidance into service specification and programme documents, thus identifying where future service implementation might be improved. This method may be applicable for use with other health conditions where research evidence requires translation into real world population programmes.

Item Type:Article
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Status:Peer-reviewed
Publisher Web site:https://doi.org/10.1186/s13104-018-3546-8
Publisher statement:© The Author(s) 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
Date accepted:27 June 2018
Date deposited:07 August 2018
Date of first online publication:27 July 2018
Date first made open access:07 August 2018

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