Creating the first national linked dataset on perinatal and maternal outcomes in Australia: Methods and challenges

Cheah, Seong Leang; Scarf, Vanessa; Rossiter, Chris; Thornton, Charlene; Homer, Caroline

doi:10.1016/j.jbi.2019.103152

Cited by 6 publications

(7 citation statements)

References 52 publications

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“…Women with uncomplicated pregnancies were defined consistently across all three cohorts in the dataset. However, merging linked data from multiple jurisdictions created several challenges and potential shortcomings, including missing responses, inconsistent variable definitions and limited data from some states 27. For example, Queensland’s data collection only covered 2007–2012, resulting in under-representation: 9.6% of the combined sample, compared with 20.4% of Australian births in 2012 36.…”

Section: Discussionmentioning

confidence: 99%

“…Table 1 provides details on the datasets. Our approach to the data linkages and combining issues are detailed elsewhere 27…”

Section: Methodsmentioning

confidence: 99%

“…Ethical approval requirements prevented reporting cell sizes of less than five to maintain confidentiality and so data have been redated in the tables to ensure this requirement was met. Further details on the methods is presented elsewhere 27…”

Section: Methodsmentioning

confidence: 99%

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Maternal and perinatal outcomes by planned place of birth in Australia 2000 – 2012: a linked population data study

et al. 2019

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ObjectiveTo compare perinatal and maternal outcomes for Australian women with uncomplicated pregnancies according to planned place of birth, that is, in hospital labour wards, birth centres or at home.DesignA population-based retrospective design, linking and analysing routinely collected electronic data. Analysis comprised χ2tests and binary logistic regression for categorical data, yielding adjusted ORs. Continuous data were analysed using analysis of variance.SettingAll eight Australian states and territories.ParticipantsWomen with uncomplicated pregnancies who gave birth between 2000 and 2012 to a singleton baby in cephalic presentation at between 37 and 41 completed weeks’ gestation. Of the 1 251 420 births, 1 171 703 (93.6%) were planned in hospital labour wards, 71 505 (5.7%) in birth centres and 8212 (0.7%) at home.Main outcome measuresMode of birth, normal labour and birth, interventions and procedures during labour and birth, maternal complications, admission to special care/high dependency or intensive care units (mother or infant) and perinatal mortality (intrapartum stillbirth and neonatal death).ResultsCompared with planned hospital births, the odds of normal labour and birth were over twice as high in planned birth centre births (adjusted OR (AOR) 2.72; 99% CI 2.63 to 2.81) and nearly six times as high in planned home births (AOR 5.91; 99% CI 5.15 to 6.78). There were no statistically significant differences in the proportion of intrapartum stillbirths, early or late neonatal deaths between the three planned places of birth.ConclusionsThis is the first Australia-wide study to examine outcomes by planned place of birth. For healthy women in Australia having an uncomplicated pregnancy, planned births in birth centres or at home are associated with positive maternal outcomes although the number of homebirths was small overall. There were no significant differences in the perinatal mortality rate, although the absolute numbers of deaths were very small and therefore firm conclusions cannot be drawn about perinatal mortality outcomes.

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Section: Discussionmentioning

confidence: 99%

“…Table 1 provides details on the datasets. Our approach to the data linkages and combining issues are detailed elsewhere 27…”

Section: Methodsmentioning

confidence: 99%

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Maternal and perinatal outcomes by planned place of birth in Australia 2000 – 2012: a linked population data study

et al. 2019

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“…In a recent study conducted in Australia, first national linked dataset was used for this purpose. Although, this data linkage had methodological and jurisdictional challenges, it is valuable source to enhance knowledge about maternal and neonatal outcomes from different settings (Figure 6) [34].…”

Section: Linked Dataset For Maternal Outcomesmentioning

confidence: 99%

Maternal Mortality Ratio in Low Income Developing Countries

Mehboob¹,

Gilani²,

Khalid³

et al. 2021

Global Women's Health

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Maternal mortality (MM) is a matter of serious concern in low income developing countries (LDCs). A great reduction has been observed regarding the maternal deaths globally after huge efforts since 1990 todate. However, the situation continues to be either stagnant or worsening in developing countries, suggesting that the efforts to cope with this issue are either insufficient or not properly implemented. We need to first diagnose the problem areas that are a great hurdle in the road to success towards the reduction of MM. Postpartum hemorrhage and preeclampsia are one of the most common causes of MM. Malnutrition, neurological dysfunction and cancer are among the non-obstetric causes. Trained medical and paramedical staff can be of great help in this regard by increasing awareness among masses at grass root level. Target set by Millennium Development goal has minimized the MM by 44%. But it has not met the target set by Millenium Development Goals 5 and a lot of measures need to be taken in this regard. Majority of the MDs are preventable and can be avoided by adopting appropriate frameworks, linked data sets, surveillance, birth attendants training, preparation for births, etc. Delay in decision to get healthcare, access to healthcare center and receiving these facilities are the main factors in MM.

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“…With the widespread collection of large-scale personspecific databases by many organizations, multiple large databases (held by different parties) often need to be integrated and linked to identify matching records that correspond to the same real-world entity [1,2,3] for viable data mining and analytics applications. The absence of unique entity identifiers across different databases requires using commonly available personal identifying attributes, such as names and addresses, for integrating and linking records from those databases.…”

Section: Introductionmentioning

confidence: 99%

Incremental clustering techniques for multi-party Privacy-Preserving Record Linkage

Vatsalan

Christen

Rahm

2020

Data & Knowledge Engineering

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Privacy-Preserving Record Linkage (PPRL) supports the integration of sensitive information from multiple datasets, in particular the privacy-preserving matching of records referring to the same entity. PPRL has gained much attention in many application areas, with the most prominent ones in the healthcare domain. PPRL techniques tackle this problem by conducting linkage on masked (encoded) values. Employing PPRL on records from multiple (more than two) parties/sources (multi-party PPRL, MP-PPRL) is an increasingly important but challenging problem that so far has not been sufficiently solved. Existing MP-PPRL approaches are limited to finding only those entities that are present in all parties thereby missing entities that match only in a subset of parties. Furthermore, previous MP-PPRL approaches face substantial scalability limitations due to the need of a large number of comparisons between masked records. We thus propose and evaluate new MP-PPRL approaches that find matches in any subset of parties and still scale to many parties. Our approaches maintain all matches within clusters, where these clusters are incrementally extended or refined by considering records from one party after the other. An empirical evaluation using multiple real datasets ranging from 3 to 26 parties each containing up to 5 million records validates that our protocols are efficient, and significantly outperform existing MP-PPRL approaches in terms of linkage quality and scalability.

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Creating the first national linked dataset on perinatal and maternal outcomes in Australia: Methods and challenges

Abstract: Background

Cited by 6 publications

References 52 publications

Maternal and perinatal outcomes by planned place of birth in Australia 2000 – 2012: a linked population data study

Maternal and perinatal outcomes by planned place of birth in Australia 2000 – 2012: a linked population data study

Maternal Mortality Ratio in Low Income Developing Countries

Incremental clustering techniques for multi-party Privacy-Preserving Record Linkage

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