Population birth data and pandemic readiness in Europe

Haidinger, Gerald; Klimont, Jeannette; Alexander, Sophie; Vandervelpen, Gisèle; Zhang, Weihong; Yordanova, Evelin; Kolarova, Rumyana; Filipović‐Grčić, Boris; Draušnik, Željka; Rodin, Urelija; Kyprianou, Theopisti; Scoutellas, Vasos; Velebil, P; Mortensen, Laust Hvas; Abuladze, Liili; Gissler, Mika; Heino, Anna; Blondel, Béatrice; Chantry, Anne; Deneux-Tharaux, Catherine; Heller, Guenther; Antsaklis, Aris; Berbik, István; Ólafsdóttir, Helga Sól; Kearns, Karen; Sikora, Izabela; Cuttini, Marina; Loghi, Marzia; Boldrini, Rosaria; Donati, Serena; Misiņš, Jānis; Zîle, Irisa; Isakova, Jelena; Billy, Audrey; Couffignal, Sophie; Lecomte, Aline; Weber, Guy; Gatt, Miriam; Achterberg, Peter; Broeders, Lisa; Hindori-Mohangoo, Ashna D.; Nijhuis, Jan G.; Akerkar, Rupali; Engjom, Hilde; Klungsøyr, Kari; Mierzejewska, Ewa; Szamotulska, Katarzyna; Barros, Henrique; Horga, Mihai; Tica, Vlad Iustin; Čáp, Jan; Tul, Nataša; Verdenik, Ivan; Jané, Mireia; Alcaide, Adela Recio; Vidal, María José Méndez; Zurriaga, Óscar; Källén, Karin; Nyman, Anastasia; Rihs, Tonia; Macfarlane, Alison; Morgan, Siobhan; Smith, Lucy; Wood, Rachael; Durox, Mélanie; Delnord, Marie; Philibert, Marianne

doi:10.1111/1471-0528.16946

Cited by 8 publications

(5 citation statements)

References 11 publications

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“… 1 On the other hand, a more recent Italian study showed that most infected pregnant women and newborns had good outcomes. 2 Recently, the Euro‐Peristat Research Network 3 raised concerns about the fact that one major gap in assessing the real effects of the pandemic on maternal and child health was the limited availability of comprehensive population‐based routine data.…”

Section: Introductionmentioning

confidence: 99%

Pregnancy outcomes in Italy during COVID‐19 pandemic: A population‐based cohort study

Rusconi

Puglia²,

Pacifici³

et al. 2022

BJOG

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Objective To compare the estimates of preterm birth (PTB; 22–36 weeks' gestational age, GA) and stillbirth rates during COVID‐19 pandemic in Italy with those recorded in the three previous years. Design A population‐based cohort study of live‐ and stillborn infants was conducted using data from Regional Health Systems and comparing the pandemic period (1 March 2020–31 March 2021, n = 362 129) to an historical period (January 2017–February 2020, n = 1 117 172). The cohort covered 84.3% of the births in Italy. Methods Poisson regressions were run in each Region and meta‐analyses were performed centrally. We used an interrupted time series regression analysis to study the trend of preterm births from 2017 to 2021. Main outcome measures The primary outcomes were PTB and stillbirths. Secondary outcomes were late PTB (32–36 weeks' GA), very PTB (<32 weeks' GA), and extremely PTB (<28 weeks' GA), overall and stratified into singleton and multiples. Results The pandemic period compared with the historical one was associated with a reduced risk for PTB (risk ratio [RR] 0.91, 95% confidence interval [CI] 0.88–0.93), late PTB (RR 0.91, 95% CI 0.88–0.94), very PTB (RR 0.88, 95% CI 0.84–0.91) and extremely PTB (RR 0.88, 95% CI 0.82–0.95). In multiples, point estimates were not very different, but had wider CIs. No association was found for stillbirths (RR 1.01, 95% CI 0.90–1.13). A linear decreasing trend in PTB rate was present in the historical period, with a further reduction after the lockdown. Conclusions We demonstrated a decrease in PTB rate after the introduction of COVID‐19 restriction measures, without an increase in stillbirths.

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Section: Introductionmentioning

confidence: 99%

Pregnancy outcomes in Italy during COVID‐19 pandemic: A population‐based cohort study

Rusconi

Puglia²,

Pacifici³

et al. 2022

BJOG

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“…Finally, a common problem is timeliness of data. This significant issue was highlighted by the network in preparatory work for this protocol 3 and emerged again in the data-provider survey which showed that final data for 2021 would not be available until the end of 2022 in most countries. The time taken by current processes for producing routine birth data constrains the extent to which it can be used to provide evidence for decision-making.…”

Section: Discussionmentioning

confidence: 99%

“…In particular, it is difficult to obtain reliable data about pregnant women and babies. Although these are generally healthy, low-risk populations, they are highly vulnerable to infectious disease outbreaks 3 . Big populations are needed for accurate ascertainment of the most severe outcomes, such as stillbirth and infant death as they occur in only around 3 to 6 per 1000 births 4 .…”

Section: Introductionmentioning

confidence: 99%

Developing and testing a protocol using a common data model for federated collection and analysis of national perinatal health indicators in Europe

Zeitlin,

Philibert,

Estupiñán-Romero

et al. 2023

Open Res Europe

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Context: International comparisons of the health of mothers and babies provide essential benchmarks for guiding health practice and policy, but statistics are not routinely compiled in a comparable way. These data are especially critical during health emergencies, such as the coronavirus disease (COVID-19) pandemic. The Population Health Information Research Infrastructure (PHIRI) project aimed to promote the exchange of population data in Europe and included a Use Case on perinatal health. Objective: To develop and test a protocol for federated analysis of population birth data in Europe. Methods: The Euro-Peristat network with participants from 31 countries developed a Common Data Model (CDM) and R scripts to exchange and analyse aggregated data on perinatal indicators. Building on recommended Euro-Peristat indicators, complemented by a three-round consensus process, the network specified variables for a CDM and common outputs. The protocol was tested using routine birth data for 2015 to 2020; a survey was conducted assessing data provider experiences and opinions. Results: The CDM included 17 core data items for the testing phase and 18 for a future expanded phase. 28 countries and the four UK nations created individual person-level databases and ran R scripts to produce anonymous aggregate tables. Seven had all core items, 17 had 13-16, while eight had ≤12. Limitations were not having all items in the same database, required for this protocol. Infant death and mode of birth were most frequently missing. Countries took from under a day to several weeks to set up the CDM, after which the protocol was easy and quick to use. Conclusion: This open-source protocol enables rapid production and analysis of perinatal indicators and constitutes a roadmap for a sustainable European information system. It also provides minimum standards for improving national data systems and can be used in other countries to facilitate comparison of perinatal indicators.

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“…Secondly, our results refer to a not‐so‐recent period, reflecting as in many European countries, the time lag before finalised birth and death data for a given year, are made available for research. 12 Thirdly, the low study case numbers led to limited power for demonstration of statistically significant differences between the two groups concerning maternal and pregnancy characteristics.…”

Section: Discussionmentioning

confidence: 99%

Maternal sudden death: A nationwide retrospective study

Braund

Leviel

Morau

et al. 2022

BJOG

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Objective To determine the prevalence of maternal sudden death (MSD) and to compare the characteristics of death between women with explained and unexplained sudden death. Design A national retrospective study in France. Population Maternal deaths related to an unexpected sudden cardiac arrest were extracted from the French National Confidential Enquiry into Maternal Deaths database for 2007–2012. Methods Maternal, pregnancy, sudden death characteristics and maternal investigations were compared between women with explained and unexplained cause of death. Results A total of 83 maternal sudden deaths and 4 949 890 live births occurred over the period studied, thus accounting for 16% of all maternal deaths (n = 510). Death was explained in 51 (61%) women and unexplained in 32 women (39%). Compared with women with unexplained death, women with explained death were more often found to have in‐hospital cardiac arrest (47% versus 12%, P < 0.01), witnessed cardiac arrest (86% versus 62%, P = 0.03) and in‐hospital death (82% versus 47%, P < 0.01). Postmortem investigations such as autopsy and/or CT scan (65% versus 31%, P < 0.01) were also more often carried out in women with explained death. The proportion of deaths for which the preventability factors could not be assessed was 58% among unexplained MSD and 7% among explained MSD. Conclusion Maternal sudden death is a rare event but accounts for a high proportion of all maternal deaths. This highlights the importance of providing training in diagnostic and management strategy for care providers. Systematic postmortem investigations are required to help understand causes and improve practices.

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Population birth data and pandemic readiness in Europe

Cited by 8 publications

References 11 publications

Pregnancy outcomes in Italy during COVID‐19 pandemic: A population‐based cohort study

Pregnancy outcomes in Italy during COVID‐19 pandemic: A population‐based cohort study

Developing and testing a protocol using a common data model for federated collection and analysis of national perinatal health indicators in Europe

Maternal sudden death: A nationwide retrospective study

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