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Identifying diabetes cases from administrative data: a population-based validation study

Identifying diabetes cases from administrative data: a population-based validation study

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d46e45db508c4f91b99a793d42f493e1

Identifying diabetes cases from administrative data: a population-based validation study

About this item

Full title

Identifying diabetes cases from administrative data: a population-based validation study

Publisher

England: BioMed Central Ltd

Journal title

BMC health services research, 2018-05, Vol.18 (1), p.316-316, Article 316

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

Health care data allow for the study and surveillance of chronic diseases such as diabetes. The objective of this study was to identify and validate optimal algorithms for diabetes cases within health care administrative databases for different research purposes, populations, and data sources.
We linked health care administrative databases from...

Alternative Titles

Full title

Identifying diabetes cases from administrative data: a population-based validation study

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_d46e45db508c4f91b99a793d42f493e1

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d46e45db508c4f91b99a793d42f493e1

Other Identifiers

ISSN

1472-6963

E-ISSN

1472-6963

DOI

10.1186/s12913-018-3148-0

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