National Institute for Health and Welfare
Ontology highlight
ABSTRACT:
PROVIDER: EGAO00000000990 | EGA |
REPOSITORIES: EGA
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Project description:Organisation EGAO00000000755
| EGAO00000000755 | EGA
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Project description:Organisation EGAO00000000582
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Project description:Organisation EGAO00000000867
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Project description:Human health is inextricably linked to the health of animals and the viability of ecosystems; this is a concept commonly known as One Health. Over the last 2 decades, the Institute of Medicine (IOM) and the National Research Council (NRC) have published consensus reports and workshop summaries addressing a variety of threats to animal, human, and ecosystem health. We reviewed a selection of these publications and identified recommendations from NRC and IOM/NRC consensus reports and from opinions expressed in workshop summaries that are relevant to implementation of the One Health paradigm shift. We grouped these recommendations and opinions into thematic categories to determine if sufficient attention has been given to various aspects of One Health. We conclude that although One Health themes have been included throughout numerous IOM and NRC publications, identified gaps remain that may warrant targeted studies related to the One Health approach.
| S-EPMC3840875 | biostudies-literature
Project description:BACKGROUND:HTA Programme funding is governed by the need for evidence and scientific quality, reflecting funding of the National Institute for Health Research (NIHR) by the NHS. The need criterion incorporates covering the spectrum of diseases, but also taking account of research supported by other funders. This study compared the NIHR HTA Programme portfolio of research with the UK burden of disease as measured by Disability-adjusted Life Years (DALYs). METHODS:A retrospective cross-sectional study using a cohort of all funded primary research and evidence syntheses projects received by the HTA Programme from April 2011 to March 2016 (n = 363); to determine the proportion of spend by disease compared with burden of disease in the UK calculated using 2015 UK DALY data. RESULTS:The programme costing just under £44 million broadly reflected UK DALY burden by disease. Spend was lower than disease burden for cancer, cardiovascular and musculoskeletal diseases, which may reflect the importance of other funders, notably medical charities, which concentrate on these diseases. CONCLUSION:The HTA Programme spend, adjusted for other relevant funders, broadly matches disease burden in the UK; no diseases are being neglected.
| S-EPMC5797405 | biostudies-literature
Project description:ObjectiveTo evaluate the extent to which the inter-institutional, inter-disciplinary mobilisation of data and skills in the Farr Institute contributed to establishing the emerging field of data science for health in the UK.Design and outcome measuresWe evaluated evidence of six domains characterising a new field of science:defining central scientific challenges,demonstrating how the central challenges might be solved,creating novel interactions among groups of scientists,training new types of experts,re-organising universities,demonstrating impacts in society.We carried out citation, network and time trend analyses of publications, and a narrative review of infrastructure, methods and tools.SettingFour UK centres in London, North England, Scotland and Wales (23 university partners), 2013-2018.Results1. The Farr Institute helped define a central scientific challenge publishing a research corpus, demonstrating insights from electronic health record (EHR) and administrative data at each stage of the translational cycle in 593 papers with at least one Farr Institute author affiliation on PubMed. 2. The Farr Institute offered some demonstrations of how these scientific challenges might be solved: it established the first four ISO27001 certified trusted research environments in the UK, and approved more than 1000 research users, published on 102 unique EHR and administrative data sources, although there was no clear evidence of an increase in novel, sustained record linkages. The Farr Institute established open platforms for the EHR phenotyping algorithms and validations (>70 diseases, CALIBER). Sample sizes showed some evidence of increase but remained less than 10% of the UK population in primary care-hospital care linked studies. 3.The Farr Institute created novel interactions among researchers: the co-author publication network expanded from 944 unique co-authors (based on 67 publications in the first 30 months) to 3839 unique co-authors (545 papers in the final 30 months). 4. Training expanded substantially with 3 new masters courses, training >400 people at masters, short-course and leadership level and 48 PhD students. 5. Universities reorganised with 4/5 Centres established 27 new faculty (tenured) positions, 3 new university institutes. 6. Emerging evidence of impacts included: > 3200 citations for the 10 most cited papers and Farr research informed eight practice-changing clinical guidelines and policies relevant to the health of millions of UK citizens.ConclusionThe Farr Institute played a major role in establishing and growing the field of data science for health in the UK, with some initial evidence of benefits for health and healthcare. The Farr Institute has now expanded into Health Data Research (HDR) UK but key challenges remain including, how to network such activities internationally.
| S-EPMC7480324 | biostudies-literature
Project description:Organisation EGAO00000001244
| EGAO00000001244 | EGA