Using consented health record linkage in a longitudinal cohort study
ABSTRACT Objectives The aim of this project is to address important issues relevant to children’s health This will be done by enhancing information collected in the longitudinal, UK-wide Millennium Cohort Study (MCS) by linking participating children to their routine health records. These issues...
| Main Authors: | , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Swansea University
2017-04-01
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| Series: | International Journal of Population Data Science |
| Online Access: | https://ijpds.org/article/view/168 |
| _version_ | 1797423593928261632 |
|---|---|
| author | Karen Tingay Ashley Akbari Amrita Bandyopadhyay Helen Bedford Sinead Brophy Mario Cortina Borja Emla Fitzsimons Lucy Griffiths Melanie Healy Jon Johnson Efrosini Setakis Suzanne Walton Carol Dezateux Ronan Lyons |
| author_facet | Karen Tingay Ashley Akbari Amrita Bandyopadhyay Helen Bedford Sinead Brophy Mario Cortina Borja Emla Fitzsimons Lucy Griffiths Melanie Healy Jon Johnson Efrosini Setakis Suzanne Walton Carol Dezateux Ronan Lyons |
| author_sort | Karen Tingay |
| collection | DOAJ |
| description | ABSTRACT
Objectives
The aim of this project is to address important issues relevant to children’s health This will be done by enhancing information collected in the longitudinal, UK-wide Millennium Cohort Study (MCS) by linking participating children to their routine health records. These issues include: health service implications of early life onset of obesity and overweight; timeliness of immunisations; association of infections with asthma and allergic disorders in childhood; and burden of disease due to childhood injuries.
Approach
The MCS comprises information on the social, economic and health-related circumstances of children surveyed at ages 9 months, 3, 5, 7, 11 and 14 years. At the age 7 interview, 12517 (89.1%) of the 14043 adults with parental responsibility consented for information from their child’s routine heath records to be released to the MCS (a).
Routine health records have been requested for Wales, England and Scotland to be linked to MCS responses within the Secure Anonymised Information Linkage Databank at Swansea University. Data will be analysed using weights for non-response, non-consent and non-linkage and the linkage reported according to the RECORD guidelines (b).
Results
To date, all 1881 MCS children with valid consent who live or have lived in Wales have been linked by assigning an Anonymous Linking Field (ALF) to each individual which can be mapped across multiple datasets without risk of identification (c). Of these children, 1365 (72.3%) had experienced at least one hospital admission by the age of 14 years. Risk of admission by each of the survey ages for boys and girls separately will be calculated adjusting for non-response at different sweeps. These children have also been linked to their immunisation records (n = 1872), Emergency Department attendances (n = 1276), and available GP records (n = 1151) to enable analyses in fulfilment of the project objectives.
Conclusions
Routine health records are a potentially valuable enhancement to longitudinal studies, allowing evaluation of questions of relevance to public health and health services, and the completeness and consistency of records from these different sources to be addressed.
References
a. Shepherd, P. (2013) Consent to linkage to child health data ISBN 978-1-906929-59-6
b. Benchimol, E.I. et al (2015) DOI: 10.1371/journal.pmed.1001885
c. Ford, D.V. et al (2009) DOI: 10.1186/1472-6963-9-157 |
| first_indexed | 2024-03-09T07:49:04Z |
| format | Article |
| id | doaj.art-d6a4ff4edccb46d1b9d3b176bba8ace0 |
| institution | Directory Open Access Journal |
| issn | 2399-4908 |
| language | English |
| last_indexed | 2024-03-09T07:49:04Z |
| publishDate | 2017-04-01 |
| publisher | Swansea University |
| record_format | Article |
| series | International Journal of Population Data Science |
| spelling | doaj.art-d6a4ff4edccb46d1b9d3b176bba8ace02023-12-03T02:15:27ZengSwansea UniversityInternational Journal of Population Data Science2399-49082017-04-011110.23889/ijpds.v1i1.168168Using consented health record linkage in a longitudinal cohort studyKaren Tingay0Ashley Akbari1Amrita Bandyopadhyay2Helen BedfordSinead Brophy3Mario Cortina Borja4Emla Fitzsimons5Lucy Griffiths6Melanie Healy7Jon Johnson8Efrosini Setakis9Suzanne Walton10Carol Dezateux11Ronan Lyons12Swansea University Medical School, Swansea UniversitySwansea University Medical School, Swansea UniversitySwansea University Medical School, Swansea UniversitySwansea University Medical School, Swansea UniversityInstitute of Child Health, University College LondonCentre for Longitudinal Studies, Institute of Education, University College LondonInstitute of Child Health, University College LondonSwansea University Medical School, Swansea UniversityCentre for Longitudinal Studies, Institute of Education, University College LondonCentre for Longitudinal Studies, Institute of Education, University College LondonInstitute of Child Health, University College LondonInstitute of Child Health, University College LondonSwansea University Medical School, Swansea UniversityABSTRACT Objectives The aim of this project is to address important issues relevant to children’s health This will be done by enhancing information collected in the longitudinal, UK-wide Millennium Cohort Study (MCS) by linking participating children to their routine health records. These issues include: health service implications of early life onset of obesity and overweight; timeliness of immunisations; association of infections with asthma and allergic disorders in childhood; and burden of disease due to childhood injuries. Approach The MCS comprises information on the social, economic and health-related circumstances of children surveyed at ages 9 months, 3, 5, 7, 11 and 14 years. At the age 7 interview, 12517 (89.1%) of the 14043 adults with parental responsibility consented for information from their child’s routine heath records to be released to the MCS (a). Routine health records have been requested for Wales, England and Scotland to be linked to MCS responses within the Secure Anonymised Information Linkage Databank at Swansea University. Data will be analysed using weights for non-response, non-consent and non-linkage and the linkage reported according to the RECORD guidelines (b). Results To date, all 1881 MCS children with valid consent who live or have lived in Wales have been linked by assigning an Anonymous Linking Field (ALF) to each individual which can be mapped across multiple datasets without risk of identification (c). Of these children, 1365 (72.3%) had experienced at least one hospital admission by the age of 14 years. Risk of admission by each of the survey ages for boys and girls separately will be calculated adjusting for non-response at different sweeps. These children have also been linked to their immunisation records (n = 1872), Emergency Department attendances (n = 1276), and available GP records (n = 1151) to enable analyses in fulfilment of the project objectives. Conclusions Routine health records are a potentially valuable enhancement to longitudinal studies, allowing evaluation of questions of relevance to public health and health services, and the completeness and consistency of records from these different sources to be addressed. References a. Shepherd, P. (2013) Consent to linkage to child health data ISBN 978-1-906929-59-6 b. Benchimol, E.I. et al (2015) DOI: 10.1371/journal.pmed.1001885 c. Ford, D.V. et al (2009) DOI: 10.1186/1472-6963-9-157https://ijpds.org/article/view/168 |
| spellingShingle | Karen Tingay Ashley Akbari Amrita Bandyopadhyay Helen Bedford Sinead Brophy Mario Cortina Borja Emla Fitzsimons Lucy Griffiths Melanie Healy Jon Johnson Efrosini Setakis Suzanne Walton Carol Dezateux Ronan Lyons Using consented health record linkage in a longitudinal cohort study International Journal of Population Data Science |
| title | Using consented health record linkage in a longitudinal cohort study |
| title_full | Using consented health record linkage in a longitudinal cohort study |
| title_fullStr | Using consented health record linkage in a longitudinal cohort study |
| title_full_unstemmed | Using consented health record linkage in a longitudinal cohort study |
| title_short | Using consented health record linkage in a longitudinal cohort study |
| title_sort | using consented health record linkage in a longitudinal cohort study |
| url | https://ijpds.org/article/view/168 |
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