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Health Data Linkage for UK Public Interest Research: Key Obstacles and Solutions
INTRODUCTION: Analysis of linked health data can generate important, even life-saving, insights into population health. Yet obstacles both legal and organisational in nature can impede this work. APPROACH: We focus on three UK infrastructures set up to link and share data for research: the Administr...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Swansea University
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7482514/ https://www.ncbi.nlm.nih.gov/pubmed/32935027 http://dx.doi.org/10.23889/ijpds.v4i1.1093 |
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author | Mourby, Miranda Jane Doidge, James Jones, Kerina H Aidinlis, Stergios Smith, Hannah Bell, Jessica Gilbert, Ruth Dutey-Magni, Peter Kaye, Jane |
author_facet | Mourby, Miranda Jane Doidge, James Jones, Kerina H Aidinlis, Stergios Smith, Hannah Bell, Jessica Gilbert, Ruth Dutey-Magni, Peter Kaye, Jane |
author_sort | Mourby, Miranda Jane |
collection | PubMed |
description | INTRODUCTION: Analysis of linked health data can generate important, even life-saving, insights into population health. Yet obstacles both legal and organisational in nature can impede this work. APPROACH: We focus on three UK infrastructures set up to link and share data for research: the Administrative Data Research Network, NHS Digital, and the Secure Anonymised Information Linkage Databank. Bringing an interdisciplinary perspective, we identify key issues underpinning their challenges and successes in linking health data for research. RESULTS: We identify examples of uncertainty surrounding legal powers to share and link data, and around data protection obligations, as well as systemic delays and historic public backlash. These issues require updated official guidance on the relevant law, approaches to linkage which are planned for impact and ongoing utility, greater transparency between data providers and researchers, and engagement with the patient population which is both high-profile and carefully considered. CONCLUSIONS: Health data linkage for research presents varied challenges, to which there can be no single solution. Our recommendations would require action from a number of data providers and regulators to be meaningfully advanced. This illustrates the scale and complexity of the challenge of health data linkage, in the UK and beyond: a challenge which our case studies suggest no single organisation can combat alone. Planned programmes of linkage are critical because they allow time for organisations to address these challenges without adversely affecting the feasibility of individual research projects |
format | Online Article Text |
id | pubmed-7482514 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Swansea University |
record_format | MEDLINE/PubMed |
spelling | pubmed-74825142020-09-14 Health Data Linkage for UK Public Interest Research: Key Obstacles and Solutions Mourby, Miranda Jane Doidge, James Jones, Kerina H Aidinlis, Stergios Smith, Hannah Bell, Jessica Gilbert, Ruth Dutey-Magni, Peter Kaye, Jane Int J Popul Data Sci Population Data Science INTRODUCTION: Analysis of linked health data can generate important, even life-saving, insights into population health. Yet obstacles both legal and organisational in nature can impede this work. APPROACH: We focus on three UK infrastructures set up to link and share data for research: the Administrative Data Research Network, NHS Digital, and the Secure Anonymised Information Linkage Databank. Bringing an interdisciplinary perspective, we identify key issues underpinning their challenges and successes in linking health data for research. RESULTS: We identify examples of uncertainty surrounding legal powers to share and link data, and around data protection obligations, as well as systemic delays and historic public backlash. These issues require updated official guidance on the relevant law, approaches to linkage which are planned for impact and ongoing utility, greater transparency between data providers and researchers, and engagement with the patient population which is both high-profile and carefully considered. CONCLUSIONS: Health data linkage for research presents varied challenges, to which there can be no single solution. Our recommendations would require action from a number of data providers and regulators to be meaningfully advanced. This illustrates the scale and complexity of the challenge of health data linkage, in the UK and beyond: a challenge which our case studies suggest no single organisation can combat alone. Planned programmes of linkage are critical because they allow time for organisations to address these challenges without adversely affecting the feasibility of individual research projects Swansea University 2019-04-02 /pmc/articles/PMC7482514/ /pubmed/32935027 http://dx.doi.org/10.23889/ijpds.v4i1.1093 Text en https://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. |
spellingShingle | Population Data Science Mourby, Miranda Jane Doidge, James Jones, Kerina H Aidinlis, Stergios Smith, Hannah Bell, Jessica Gilbert, Ruth Dutey-Magni, Peter Kaye, Jane Health Data Linkage for UK Public Interest Research: Key Obstacles and Solutions |
title | Health Data Linkage for UK Public Interest Research: Key Obstacles and Solutions |
title_full | Health Data Linkage for UK Public Interest Research: Key Obstacles and Solutions |
title_fullStr | Health Data Linkage for UK Public Interest Research: Key Obstacles and Solutions |
title_full_unstemmed | Health Data Linkage for UK Public Interest Research: Key Obstacles and Solutions |
title_short | Health Data Linkage for UK Public Interest Research: Key Obstacles and Solutions |
title_sort | health data linkage for uk public interest research: key obstacles and solutions |
topic | Population Data Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7482514/ https://www.ncbi.nlm.nih.gov/pubmed/32935027 http://dx.doi.org/10.23889/ijpds.v4i1.1093 |
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