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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Swansea University
2020
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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 |
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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 |