Cargando…

National data opt out programme: consequences for maternity statistics in England

Electronic health records offer great potential for individual care, service improvement and, when collated, the health of the wider population. Datasets composed of these types of records have been invaluable to our understanding of risk factors for maternal and infant ill-health. However, a potent...

Descripción completa

Detalles Bibliográficos
Autores principales: Lewis, KM, Hardelid, P
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Swansea University 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7115979/
https://www.ncbi.nlm.nih.gov/pubmed/32851197
http://dx.doi.org/10.23889/ijpds.v5i1.1126
_version_ 1783514185398747136
author Lewis, KM
Hardelid, P
author_facet Lewis, KM
Hardelid, P
author_sort Lewis, KM
collection PubMed
description Electronic health records offer great potential for individual care, service improvement and, when collated, the health of the wider population. Datasets composed of these types of records have been invaluable to our understanding of risk factors for maternal and infant ill-health. However, a potential barrier to data quality in England is emerging where patients choose to opt out of sharing their information beyond the NHS. Focussing on maternity statistics, we will present the importance of population level health data for monitoring NHS services, and the potential consequences for patients of opting out. Evidencing the success of similar systems in Nordic countries, we argue that the English population must be better informed of the implications of opting out of sharing NHS data for research and the safeguards in place to protect patient information.
format Online
Article
Text
id pubmed-7115979
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Swansea University
record_format MEDLINE/PubMed
spelling pubmed-71159792020-08-25 National data opt out programme: consequences for maternity statistics in England Lewis, KM Hardelid, P Int J Popul Data Sci Population Data Science Electronic health records offer great potential for individual care, service improvement and, when collated, the health of the wider population. Datasets composed of these types of records have been invaluable to our understanding of risk factors for maternal and infant ill-health. However, a potential barrier to data quality in England is emerging where patients choose to opt out of sharing their information beyond the NHS. Focussing on maternity statistics, we will present the importance of population level health data for monitoring NHS services, and the potential consequences for patients of opting out. Evidencing the success of similar systems in Nordic countries, we argue that the English population must be better informed of the implications of opting out of sharing NHS data for research and the safeguards in place to protect patient information. Swansea University 2020-01-30 /pmc/articles/PMC7115979/ /pubmed/32851197 http://dx.doi.org/10.23889/ijpds.v5i1.1126 Text en https://creativecommons.org/licences/by/4.0/ This work is licenced under a Creative Commons Attribution 4.0 International License.
spellingShingle Population Data Science
Lewis, KM
Hardelid, P
National data opt out programme: consequences for maternity statistics in England
title National data opt out programme: consequences for maternity statistics in England
title_full National data opt out programme: consequences for maternity statistics in England
title_fullStr National data opt out programme: consequences for maternity statistics in England
title_full_unstemmed National data opt out programme: consequences for maternity statistics in England
title_short National data opt out programme: consequences for maternity statistics in England
title_sort national data opt out programme: consequences for maternity statistics in england
topic Population Data Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7115979/
https://www.ncbi.nlm.nih.gov/pubmed/32851197
http://dx.doi.org/10.23889/ijpds.v5i1.1126
work_keys_str_mv AT lewiskm nationaldataoptoutprogrammeconsequencesformaternitystatisticsinengland
AT hardelidp nationaldataoptoutprogrammeconsequencesformaternitystatisticsinengland