Optimising the value of the evidence generated in implementation science: the use of ontologies to address the challenges.
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 vari...
| Publicado en: | Implementation Science Vol. 12; no. 1; pp. 1 - 5 |
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| Autores principales: | , |
| Formato: | Journal Article |
| Publicado: |
BioMed Central
11/14/2017
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=126250684&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 126250684 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 17485908 38MN jtl: Implementation Science issn: 17485908 maglogo: N pubinfo: dt: 11/14/2017 vid: 12 iid: 1 pid: 24147 pub: BioMed Central artinfo: ui: 126250684 126250684 NLM29137660 10.1186/s13012-017-0660-2 NLM29137660 126250684 ppf: 1 ppct: 4 formats: tig: atl: Optimising the value of the evidence generated in implementation science: the use of ontologies to address the challenges. aug: au: Michie, Susan Johnston, Marie affil: Centre for Behaviour Change, University College London, 1-19 Torrington Place, London WC1E 7HB, UK sug: subj: Research, Medical Professional Practice, Evidence-Based Administration Behavioral Sciences Diffusion of Innovation 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. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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