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The importance of accessing patient administrative data for longitudinal research to improve patient outcomes Professor Alison Park, UCL
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Today About longitudinal research
Linking survey and administrative data The current context Challenges and next steps
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Longitudinal studies Follow the same people over time
Capture diverse range of data Help us explore patterns of change, the dynamics of individual behaviour and the ways in which early circumstances shape later outcomes
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The CLOSER studies
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Linking patient and survey data
What linkage involves Why it benefits surveys Frequency, detail, objective measures Why it benefits administrative datasets Understanding of context, improved understanding of accuracy The whole is greater than the sum of its parts
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For example: Doll and Hill (1954)
Survey: smoking habits of doctors Administrative data: cause of death Demonstrates link between smoking, lung cancer and cardiovascular disease
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For example: Zhou et al (2016)
Survey: details about circumstances, lifestyle Administrative data: birthweight, cancer registry Heavier birthweight may be associated with increased risk of prostate cancer
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Current context /1 Huge potential offered by digitisation of data collection and management
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Current context /2 Key current policy developments
National Data Guardian for Health and Social Care - Review of Data Security, Consent and Opt-Outs Wellcome Independent Patient Taskforce Digital Economy Bill
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Current challenges Legislative framework Risk averse culture
Lack of consistency across data controllers Lack of expert resource Poor data infrastructure Longitudinal-specific issues
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Where next? Current developments are encouraging
But is there enough focus on: Incentivising sharing? Balancing risks of not sharing with the risks of doing so? Tackling data silos? Need clear voice about importance of digital records for public benefit research
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Thank you alison.park@ucl.ac.uk @parkali www.closer.ac.uk @CLOSER_UK
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