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Rapid systematic review to identify key barriers to access, linkage, and use of local authority administrative data for population health research, practice, and policy in the United Kingdom

BACKGROUND: Improving data access, sharing, and linkage across local authorities and other agencies can contribute to improvements in population health. Whilst progress is being made to achieve linkage and integration of health and social care data, issues still exist in creating such a system. As p...

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Autores principales: Moorthie, Sowmiya, Hayat, Shabina, Zhang, Yi, Parkin, Katherine, Philips, Veronica, Bale, Amber, Duschinsky, Robbie, Ford, Tamsin, Moore, Anna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9241330/
https://www.ncbi.nlm.nih.gov/pubmed/35764951
http://dx.doi.org/10.1186/s12889-022-13187-9
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author Moorthie, Sowmiya
Hayat, Shabina
Zhang, Yi
Parkin, Katherine
Philips, Veronica
Bale, Amber
Duschinsky, Robbie
Ford, Tamsin
Moore, Anna
author_facet Moorthie, Sowmiya
Hayat, Shabina
Zhang, Yi
Parkin, Katherine
Philips, Veronica
Bale, Amber
Duschinsky, Robbie
Ford, Tamsin
Moore, Anna
author_sort Moorthie, Sowmiya
collection PubMed
description BACKGROUND: Improving data access, sharing, and linkage across local authorities and other agencies can contribute to improvements in population health. Whilst progress is being made to achieve linkage and integration of health and social care data, issues still exist in creating such a system. As part of wider work to create the Cambridge Child Health Informatics and Linked Data (Cam-CHILD) database, we wanted to examine barriers to the access, linkage, and use of local authority data. METHODS: A systematic literature search was conducted of scientific databases and the grey literature. Any publications reporting original research related to barriers or enablers of data linkage of or with local authority data in the United Kingdom were included. Barriers relating to the following issues were extracted from each paper: funding, fragmentation, legal and ethical frameworks, cultural issues, geographical boundaries, technical capability, capacity, data quality, security, and patient and public trust. RESULTS: Twenty eight articles were identified for inclusion in this review. Issues relating to technical capacity and data quality were cited most often. This was followed by those relating to legal and ethical frameworks. Issue relating to public and patient trust were cited the least, however, there is considerable overlap between this topic and issues relating to legal and ethical frameworks. CONCLUSIONS: This rapid review is the first step to an in-depth exploration of the barriers to data access, linkage and use; a better understanding of which can aid in creating and implementing effective solutions. These barriers are not novel although they pose specific challenges in the context of local authority data. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-13187-9.
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spelling pubmed-92413302022-06-30 Rapid systematic review to identify key barriers to access, linkage, and use of local authority administrative data for population health research, practice, and policy in the United Kingdom Moorthie, Sowmiya Hayat, Shabina Zhang, Yi Parkin, Katherine Philips, Veronica Bale, Amber Duschinsky, Robbie Ford, Tamsin Moore, Anna BMC Public Health Research BACKGROUND: Improving data access, sharing, and linkage across local authorities and other agencies can contribute to improvements in population health. Whilst progress is being made to achieve linkage and integration of health and social care data, issues still exist in creating such a system. As part of wider work to create the Cambridge Child Health Informatics and Linked Data (Cam-CHILD) database, we wanted to examine barriers to the access, linkage, and use of local authority data. METHODS: A systematic literature search was conducted of scientific databases and the grey literature. Any publications reporting original research related to barriers or enablers of data linkage of or with local authority data in the United Kingdom were included. Barriers relating to the following issues were extracted from each paper: funding, fragmentation, legal and ethical frameworks, cultural issues, geographical boundaries, technical capability, capacity, data quality, security, and patient and public trust. RESULTS: Twenty eight articles were identified for inclusion in this review. Issues relating to technical capacity and data quality were cited most often. This was followed by those relating to legal and ethical frameworks. Issue relating to public and patient trust were cited the least, however, there is considerable overlap between this topic and issues relating to legal and ethical frameworks. CONCLUSIONS: This rapid review is the first step to an in-depth exploration of the barriers to data access, linkage and use; a better understanding of which can aid in creating and implementing effective solutions. These barriers are not novel although they pose specific challenges in the context of local authority data. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-13187-9. BioMed Central 2022-06-28 /pmc/articles/PMC9241330/ /pubmed/35764951 http://dx.doi.org/10.1186/s12889-022-13187-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Moorthie, Sowmiya
Hayat, Shabina
Zhang, Yi
Parkin, Katherine
Philips, Veronica
Bale, Amber
Duschinsky, Robbie
Ford, Tamsin
Moore, Anna
Rapid systematic review to identify key barriers to access, linkage, and use of local authority administrative data for population health research, practice, and policy in the United Kingdom
title Rapid systematic review to identify key barriers to access, linkage, and use of local authority administrative data for population health research, practice, and policy in the United Kingdom
title_full Rapid systematic review to identify key barriers to access, linkage, and use of local authority administrative data for population health research, practice, and policy in the United Kingdom
title_fullStr Rapid systematic review to identify key barriers to access, linkage, and use of local authority administrative data for population health research, practice, and policy in the United Kingdom
title_full_unstemmed Rapid systematic review to identify key barriers to access, linkage, and use of local authority administrative data for population health research, practice, and policy in the United Kingdom
title_short Rapid systematic review to identify key barriers to access, linkage, and use of local authority administrative data for population health research, practice, and policy in the United Kingdom
title_sort rapid systematic review to identify key barriers to access, linkage, and use of local authority administrative data for population health research, practice, and policy in the united kingdom
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9241330/
https://www.ncbi.nlm.nih.gov/pubmed/35764951
http://dx.doi.org/10.1186/s12889-022-13187-9
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