How to increase the value of self-reported health service data by using data linkage: a case study

Peng, W; Maguire, J; Hayen, A; Adams, J; Sibbritt, D

How to increase the value of self-reported health service data by using data linkage: a case study

Peng, W

Maguire, J

Hayen, A

Adams, J

Sibbritt, D

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Publisher:: Oxford University Press
Publication Type:: Conference Proceeding
Citation:: European Journal of Public Health, 2020, 30, (5), pp. V470-V470
Issue Date:: 2020-10-14

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Field	Value	Language
dc.contributor.author	Peng, W https://orcid.org/0000-0001-9747-2466
dc.contributor.author	Maguire, J https://orcid.org/0000-0001-5722-8311
dc.contributor.author	Hayen, A https://orcid.org/0000-0003-4046-8030
dc.contributor.author	Adams, J https://orcid.org/0000-0002-9901-5717
dc.contributor.author	Sibbritt, D https://orcid.org/0000-0003-3561-9447
dc.date	2020-10-12
dc.date.accessioned	2024-03-24T23:34:22Z
dc.date.available	2024-03-24T23:34:22Z
dc.date.issued	2020-10-14
dc.identifier.citation	European Journal of Public Health, 2020, 30, (5), pp. V470-V470
dc.identifier.issn	1101-1262
dc.identifier.issn	1464-360X
dc.identifier.uri	http://hdl.handle.net/10453/177063
dc.description.abstract	Background This is a case study for recurrent stroke prevention. Lifestyle factors account for about 80% of the risk of recurrent stroke. Most health services studies examining stroke prevention rely on stroke survivors' self-reported lifestyle behaviour data. How can researchers increase the value of collected self-reported data to provide additional information for more comprehensive assessments? Methods 45 and Up Study is the largest ongoing study in the Southern Hemisphere focusing on the health of people aged 45 years and older living in NSW, Australia. This case study linked self-reported longitudinal lifestyle data in the 45 and Up Study, with corresponding mortality data (i.e. NSW Registry of Births, Deaths and Marriages & NSW Cause of Death Unit Record File) and hospital data (i.e. NSW Admitted Patient Data Collection) via the Centre for Health Record Linkage (CHeReL). The main outcome measures are health services, clinical outcomes, and mortality rates for stroke care. The analyses will include descriptive analysis, multivariate regression analysis, and survival analysis. Results A total of 8410 stroke survivors who participated in the 45 and Up Study were included in this data linkage study. From January 2006 to December 2015, 99249 hospital claims (mean: 13 times admission to hospital per person) and 2656 death registration records have been linked to these participants. The mean age of the stroke survivors was 72 (SD = 11) years, with 56% being males. These results are preliminary and more analyses will be conducted by using quality of life status, clinical diagnosis, comorbidities, and procedures. Conclusions Data linkage enables researchers to generate comprehensive findings on health services studies and gain a more holistic understanding of the determinants and outcomes of stroke prevention with lower data collection costs and less burden on participants.
dc.language	en
dc.publisher	Oxford University Press
dc.relation	National Stroke Foundation
dc.relation.ispartof	European Journal of Public Health
dc.relation.isbasedon	10.1093/eurpub/ckaa165.1279
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	1117 Public Health and Health Services
dc.subject.classification	Public Health
dc.subject.classification	4202 Epidemiology
dc.subject.classification	4203 Health services and systems
dc.subject.classification	4206 Public health
dc.title	How to increase the value of self-reported health service data by using data linkage: a case study
dc.type	Conference Proceeding
utslib.citation.volume	30
utslib.location.activity	Virtual
utslib.for	1117 Public Health and Health Services
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Health
pubs.organisational-group	University of Technology Sydney/Strength - CHSP - Health Services and Practice
pubs.organisational-group	University of Technology Sydney/Faculty of Health/Public Health
pubs.organisational-group	University of Technology Sydney/Strength - ARCCIM - Australian Research Centre in Complementary & Integrative Medicine
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2024-03-24T23:34:20Z
pubs.finish-date	2020-10-16
pubs.issue	5
pubs.publication-status	Published
pubs.start-date	2020-10-12
pubs.volume	30
utslib.citation.issue	5

Abstract:

Background This is a case study for recurrent stroke prevention. Lifestyle factors account for about 80% of the risk of recurrent stroke. Most health services studies examining stroke prevention rely on stroke survivors' self-reported lifestyle behaviour data. How can researchers increase the value of collected self-reported data to provide additional information for more comprehensive assessments? Methods 45 and Up Study is the largest ongoing study in the Southern Hemisphere focusing on the health of people aged 45 years and older living in NSW, Australia. This case study linked self-reported longitudinal lifestyle data in the 45 and Up Study, with corresponding mortality data (i.e. NSW Registry of Births, Deaths and Marriages & NSW Cause of Death Unit Record File) and hospital data (i.e. NSW Admitted Patient Data Collection) via the Centre for Health Record Linkage (CHeReL). The main outcome measures are health services, clinical outcomes, and mortality rates for stroke care. The analyses will include descriptive analysis, multivariate regression analysis, and survival analysis. Results A total of 8410 stroke survivors who participated in the 45 and Up Study were included in this data linkage study. From January 2006 to December 2015, 99249 hospital claims (mean: 13 times admission to hospital per person) and 2656 death registration records have been linked to these participants. The mean age of the stroke survivors was 72 (SD = 11) years, with 56% being males. These results are preliminary and more analyses will be conducted by using quality of life status, clinical diagnosis, comorbidities, and procedures. Conclusions Data linkage enables researchers to generate comprehensive findings on health services studies and gain a more holistic understanding of the determinants and outcomes of stroke prevention with lower data collection costs and less burden on participants.

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http://hdl.handle.net/10453/177063