Ascertaining severe perineal trauma and associated risk factors by comparing birth data with multiple sources
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ArticleAbstract
Objectives Population data are often used to monitor severe perineal trauma trends and association of risk factors. Within NSW, two different datasets can be used; the Perinatal Data Collection (‘birth’ data), or a linked dataset combining birth data with the Admitted Patient ...
See moreObjectives Population data are often used to monitor severe perineal trauma trends and association of risk factors. Within NSW, two different datasets can be used; the Perinatal Data Collection (‘birth’ data), or a linked dataset combining birth data with the Admitted Patient Hospital Data Collection (‘hospital’ data). Severe perineal trauma can be ascertained by birth data alone, or by hospital ICD-10-AM diagnosis and procedure coding in the linked dataset. The aim of this study is to compare rates and risk factors for severe perineal trauma using birth data alone, with those using linked data. Methods The study population consisted of all vaginal births in NSW 2001-2011. As perineal injury coding in birth data was revised in 2006, data were analysed separately for 2 ‘earlier data’ and ‘more recent data’. Rates of severe perineal injury over time were compared in birth data alone, and in linked data. Kappa and agreement statistics were calculated. Risk factor distributions (primiparity, instrumental birth, birthweight≥4kg, Asian country of birth and episiotomy) were compared between women with severe perineal trauma identified by birth data alone, and identified by linked data. Multivariable logistic regression was used to calculate the adjusted odds ratios of severe perineal trauma. Results Among 697,202 vaginal births, 2.1% were identified with severe perineal trauma by birth data alone, and 2.6% by linked data. The rate discrepancy was higher among earlier data (1.7% for birth data, 2.4% for linked data). Kappa for earlier data was 0.78 (95% CI 0.78, 0.79), and 0.89 (95% CI 0.89, 0.89) for more recent data. With the exception of episiotomy, differences in risk factor distributions were small, with similar adjusted odds ratios. Adjusted odds ratio of severe perineal trauma for episiotomy was higher (1.34 95% CI 1.27, 1.41) using linked data compared with birth data (1.03 95% CI 0.97, 1.09). Conclusions While discrepancies in ascertainment of severe perineal trauma improved after revision of birth data coding in 2006, higher ascertainment by linked data was still evident for recent data. There were also higher risk estimates of severe perineal trauma with episiotomy by linked data than by birth data.
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See moreObjectives Population data are often used to monitor severe perineal trauma trends and association of risk factors. Within NSW, two different datasets can be used; the Perinatal Data Collection (‘birth’ data), or a linked dataset combining birth data with the Admitted Patient Hospital Data Collection (‘hospital’ data). Severe perineal trauma can be ascertained by birth data alone, or by hospital ICD-10-AM diagnosis and procedure coding in the linked dataset. The aim of this study is to compare rates and risk factors for severe perineal trauma using birth data alone, with those using linked data. Methods The study population consisted of all vaginal births in NSW 2001-2011. As perineal injury coding in birth data was revised in 2006, data were analysed separately for 2 ‘earlier data’ and ‘more recent data’. Rates of severe perineal injury over time were compared in birth data alone, and in linked data. Kappa and agreement statistics were calculated. Risk factor distributions (primiparity, instrumental birth, birthweight≥4kg, Asian country of birth and episiotomy) were compared between women with severe perineal trauma identified by birth data alone, and identified by linked data. Multivariable logistic regression was used to calculate the adjusted odds ratios of severe perineal trauma. Results Among 697,202 vaginal births, 2.1% were identified with severe perineal trauma by birth data alone, and 2.6% by linked data. The rate discrepancy was higher among earlier data (1.7% for birth data, 2.4% for linked data). Kappa for earlier data was 0.78 (95% CI 0.78, 0.79), and 0.89 (95% CI 0.89, 0.89) for more recent data. With the exception of episiotomy, differences in risk factor distributions were small, with similar adjusted odds ratios. Adjusted odds ratio of severe perineal trauma for episiotomy was higher (1.34 95% CI 1.27, 1.41) using linked data compared with birth data (1.03 95% CI 0.97, 1.09). Conclusions While discrepancies in ascertainment of severe perineal trauma improved after revision of birth data coding in 2006, higher ascertainment by linked data was still evident for recent data. There were also higher risk estimates of severe perineal trauma with episiotomy by linked data than by birth data.
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Date
2015-01-01Publisher
Sax InsitituteCitation
Ampt AJ, Ford JB. Ascertaining severe perineal trauma and associated risk factors by comparing birth data with multiple sources. Public Health Res Pract. 2015;25(4):e2541544.Share