Optimising the value of the evidence generated in Implementation Science: the use of ontologies to address the challenges

Susan Michie, Marie Johnston

Research output: Contribution to journalArticle

5 Citations (Scopus)
6 Downloads (Pure)

Abstract

Implementing research findings into healthcare practice and policy is a complex process occurring in diverse contexts; it invariably depends on changing human behaviour in many parts of an intricate implementation system. Questions asked with the aim of improving implementation are multifarious variants of ‘What works, compared with what, how well, with what exposure, with what behaviours (for how long), for whom, in what setting and why?’. Relevant evidence is being published at a high rate, but its quantity, complexity and lack of shared terminologies present challenges. The achievement of efficient, effective and timely synthesis of evidence is facilitated by using ‘ontologies’ to systematically structure and organise the evidence about constructs and their relationships, using a controlled, well-defined vocabulary.
Original languageEnglish
Article number131
Pages (from-to)1-4
Number of pages4
JournalImplementation Science
Volume12
DOIs
Publication statusPublished - 14 Nov 2017

Fingerprint

Vocabulary
Terminology
Delivery of Health Care
Research

Cite this

Optimising the value of the evidence generated in Implementation Science : the use of ontologies to address the challenges. / Michie, Susan; Johnston, Marie.

In: Implementation Science, Vol. 12, 131, 14.11.2017, p. 1-4.

Research output: Contribution to journalArticle

@article{7e58b353772246bb9a9d49e8aa0ce608,
title = "Optimising the value of the evidence generated in Implementation Science: the use of ontologies to address the challenges",
abstract = "Implementing research findings into healthcare practice and policy is a complex process occurring in diverse contexts; it invariably depends on changing human behaviour in many parts of an intricate implementation system. Questions asked with the aim of improving implementation are multifarious variants of ‘What works, compared with what, how well, with what exposure, with what behaviours (for how long), for whom, in what setting and why?’. Relevant evidence is being published at a high rate, but its quantity, complexity and lack of shared terminologies present challenges. The achievement of efficient, effective and timely synthesis of evidence is facilitated by using ‘ontologies’ to systematically structure and organise the evidence about constructs and their relationships, using a controlled, well-defined vocabulary.",
author = "Susan Michie and Marie Johnston",
note = "Our thanks to Marta Marques, Emma Norris, Ildiko Tombor, Holly Walton, Olga Perski and Hilary Groarke for comments on an earlier draft of this editorial. The project is funded by a Wellcome Trust collaborative award [The Human Behaviour-Change Project: Building the science of behaviour change for complex intervention development’, 201,524/Z/16/Z].",
year = "2017",
month = "11",
day = "14",
doi = "10.1186/s13012-017-0660-2",
language = "English",
volume = "12",
pages = "1--4",
journal = "Implementation Science",
issn = "1748-5908",
publisher = "BioMed Central",

}

TY - JOUR

T1 - Optimising the value of the evidence generated in Implementation Science

T2 - the use of ontologies to address the challenges

AU - Michie, Susan

AU - Johnston, Marie

N1 - Our thanks to Marta Marques, Emma Norris, Ildiko Tombor, Holly Walton, Olga Perski and Hilary Groarke for comments on an earlier draft of this editorial. The project is funded by a Wellcome Trust collaborative award [The Human Behaviour-Change Project: Building the science of behaviour change for complex intervention development’, 201,524/Z/16/Z].

PY - 2017/11/14

Y1 - 2017/11/14

N2 - Implementing research findings into healthcare practice and policy is a complex process occurring in diverse contexts; it invariably depends on changing human behaviour in many parts of an intricate implementation system. Questions asked with the aim of improving implementation are multifarious variants of ‘What works, compared with what, how well, with what exposure, with what behaviours (for how long), for whom, in what setting and why?’. Relevant evidence is being published at a high rate, but its quantity, complexity and lack of shared terminologies present challenges. The achievement of efficient, effective and timely synthesis of evidence is facilitated by using ‘ontologies’ to systematically structure and organise the evidence about constructs and their relationships, using a controlled, well-defined vocabulary.

AB - Implementing research findings into healthcare practice and policy is a complex process occurring in diverse contexts; it invariably depends on changing human behaviour in many parts of an intricate implementation system. Questions asked with the aim of improving implementation are multifarious variants of ‘What works, compared with what, how well, with what exposure, with what behaviours (for how long), for whom, in what setting and why?’. Relevant evidence is being published at a high rate, but its quantity, complexity and lack of shared terminologies present challenges. The achievement of efficient, effective and timely synthesis of evidence is facilitated by using ‘ontologies’ to systematically structure and organise the evidence about constructs and their relationships, using a controlled, well-defined vocabulary.

U2 - 10.1186/s13012-017-0660-2

DO - 10.1186/s13012-017-0660-2

M3 - Article

VL - 12

SP - 1

EP - 4

JO - Implementation Science

JF - Implementation Science

SN - 1748-5908

M1 - 131

ER -