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Realising the Value of Linked Data to Health Economic Analyses of Cancer Care: A Case Study of Cancer 2015.

Publication ,  Journal Article
Lorgelly, PK; Doble, B; Knott, RJ; Cancer 2015 Investigators,
Published in: Pharmacoeconomics
February 2016

There is a growing appetite for large complex databases that integrate a range of personal, socio-demographic, health, genetic and financial information on individuals. It has been argued that 'Big Data' will provide the necessary catalyst to advance both biomedical research and health economics and outcomes research. However, it is important that we do not succumb to being data rich but information poor. This paper discusses the benefits and challenges of building Big Data, analysing Big Data and making appropriate inferences in order to advance cancer care, using Cancer 2015 (a prospective, longitudinal, genomic cohort study in Victoria, Australia) as a case study. Cancer 2015 has been linked to State and Commonwealth reimbursement databases that have known limitations. This partly reflects the funding arrangements in Australia, a country with both public and private provision, including public funding of private healthcare, and partly the legislative frameworks that govern data linkage. Additionally, linkage is not without time delays and, as such, achieving a contemporaneous database is challenging. Despite these limitations, there is clear value in using linked data and creating Big Data. This paper describes the linked Cancer 2015 dataset, discusses estimation issues given the nature of the data and presents panel regression results that allow us to make possible inferences regarding which patient, disease, genomic and treatment characteristics explain variation in health expenditure.

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Published In

Pharmacoeconomics

DOI

EISSN

1179-2027

Publication Date

February 2016

Volume

34

Issue

2

Start / End Page

139 / 154

Location

New Zealand

Related Subject Headings

  • Prospective Studies
  • Outcome Assessment, Health Care
  • Neoplasms
  • Middle Aged
  • Medical Record Linkage
  • Male
  • Longitudinal Studies
  • Humans
  • Health Policy & Services
  • Health Expenditures
 

Citation

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ICMJE
MLA
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Lorgelly, P. K., Doble, B., Knott, R. J., & Cancer 2015 Investigators, . (2016). Realising the Value of Linked Data to Health Economic Analyses of Cancer Care: A Case Study of Cancer 2015. Pharmacoeconomics, 34(2), 139–154. https://doi.org/10.1007/s40273-015-0343-2
Lorgelly, Paula K., Brett Doble, Rachel J. Knott, and Rachel J. Cancer 2015 Investigators. “Realising the Value of Linked Data to Health Economic Analyses of Cancer Care: A Case Study of Cancer 2015.Pharmacoeconomics 34, no. 2 (February 2016): 139–54. https://doi.org/10.1007/s40273-015-0343-2.
Lorgelly PK, Doble B, Knott RJ, Cancer 2015 Investigators. Realising the Value of Linked Data to Health Economic Analyses of Cancer Care: A Case Study of Cancer 2015. Pharmacoeconomics. 2016 Feb;34(2):139–54.
Lorgelly, Paula K., et al. “Realising the Value of Linked Data to Health Economic Analyses of Cancer Care: A Case Study of Cancer 2015.Pharmacoeconomics, vol. 34, no. 2, Feb. 2016, pp. 139–54. Pubmed, doi:10.1007/s40273-015-0343-2.
Lorgelly PK, Doble B, Knott RJ, Cancer 2015 Investigators. Realising the Value of Linked Data to Health Economic Analyses of Cancer Care: A Case Study of Cancer 2015. Pharmacoeconomics. 2016 Feb;34(2):139–154.
Journal cover image

Published In

Pharmacoeconomics

DOI

EISSN

1179-2027

Publication Date

February 2016

Volume

34

Issue

2

Start / End Page

139 / 154

Location

New Zealand

Related Subject Headings

  • Prospective Studies
  • Outcome Assessment, Health Care
  • Neoplasms
  • Middle Aged
  • Medical Record Linkage
  • Male
  • Longitudinal Studies
  • Humans
  • Health Policy & Services
  • Health Expenditures