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Trish Greenhalgh

Researcher at University of Oxford

Publications -  63
Citations -  4288

Trish Greenhalgh is an academic researcher from University of Oxford. The author has contributed to research in topics: Systematic review & Psychological intervention. The author has an hindex of 25, co-authored 63 publications receiving 3189 citations. Previous affiliations of Trish Greenhalgh include University College London & Queen Mary University of London.

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RAMESES publication standards: realist syntheses

TL;DR: This project used multiple sources to develop and draw together evidence and expertise in realist synthesis, and synthesized expert input, evidence syntheses and real-time problem analysis into a definitive set of standards.
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RAMESES II reporting standards for realist evaluations

TL;DR: These reporting standards for realist evaluations have been developed by drawing on a range of sources and it is hoped that these standards will lead to greater consistency and rigour of reporting and make realist evaluation reports more accessible, usable and helpful to different stakeholders.
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RAMESES publication standards: meta-narrative reviews

TL;DR: This project used a three-round online Delphi method with an interdisciplinary panel of national and international experts in evidence synthesis, meta-narrative reviews, policy and/or publishing to produce and iteratively refine a draft set of methodological steps and publication standards.
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School feeding for improving the physical and psychosocial health of disadvantaged students

TL;DR: In this article, a systematic review on the topic of school feeding is presented, which shows that children who were fed at school attended school more frequently than those in control groups; this finding translated to an average increase of 4 to 6 days a year per child.
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RAMESES publication standards: realist syntheses

TL;DR: This project used multiple sources to develop and draw together evidence and expertise in realist synthesis and hopes that these standards will act as a resource that will contribute to improving the reporting of realist syntheses.