Identification of stillbirths in NSW linked population health datasets
| Field | Value | Language |
| dc.contributor.author | Roberts, Christine L. | |
| dc.contributor.author | Algert, Charles S. | |
| dc.contributor.author | Morris, Jonathan M. | |
| dc.contributor.author | Merrifield, Alistair | |
| dc.contributor.author | Taylor, Lee K. | |
| dc.contributor.author | Ford, Jane B. | |
| dc.date.accessioned | 2014-09-22 | |
| dc.date.available | 2014-09-22 | |
| dc.date.issued | 2014-09-22 | |
| dc.identifier.uri | http://hdl.handle.net/2123/11969 | |
| dc.description.abstract | This manuscript has not been submitted for publication. It compares stillbirth reporting from four different population data sources, and develops an algorithm for maximum identification of definite and probable stillbirths in linked population data while avoiding false positive and duplicate reports. By placing the results on this repository we are hoping to inform future use of population data for research on stillbirths in NSW. | en |
| dc.description.sponsorship | This work was supported by the Stillbirth Foundation Australia. Christine Roberts is supported by a NHMRC Senior Research Fellowship (APP1021025). We thank the NSW Ministry of Health for access to the population health data and the Centre for Health Record Linkage (CHeReL) for linking the data sets. | en |
| dc.language.iso | en_AU | en |
| dc.relation | http://purl.org/au-research/grants/nhmrc/APP1021025 | en |
| dc.rights | Other | |
| dc.subject | Identification | en |
| dc.subject | stillbirths | en |
| dc.subject | population | en |
| dc.subject | datasets | en |
| dc.title | Identification of stillbirths in NSW linked population health datasets | en |
| dc.type | Other | en |
| dc.subject.asrc | FoR::111402 - Obstetrics and Gynaecology | en |
| dc.type.pubtype | Preprint | en |
| usyd.faculty | Faculty of Medicine and Health, Northern Clinical School | en |
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