Evidence map›Paper›PMID 36792327›Full record

ArticleBMJ open2023

Study protocol: examining the impacts of COVID-19 mitigation measures on pregnancy and birth outcomes in Scotland-a linked administrative data study.

Moritz Oberndorfer, Paul M Henery, Ruth Dundas, Alastair H Leyland, Shantini Paranjothy, Sarah Jane Stock, Rachael Wood, Scott M Nelson, Rachel Kearns, Anna Pearce

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 46% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 2 countries.

Moritz OberndorferMRC/CSO Social and Public Health Sciences Unit, School of Health and Wellbeing, University of Glasgow, Glasgow, UK moritz.oberndorfer@muv.ac.at.ORCID 0000-0003-3987-0823
Paul M HeneryPublic Health Scotland, Glasgow, UK.
Ruth DundasMRC/CSO Social and Public Health Sciences Unit, School of Health and Wellbeing, University of Glasgow, Glasgow, UK.
Alastair H LeylandMRC/CSO Social and Public Health Sciences Unit, School of Health and Wellbeing, University of Glasgow, Glasgow, UK.
Shantini ParanjothyHealth Data Science Research Centre, University of Aberdeen, Aberdeen, UK.ORCID 0000-0002-0528-3121
Sarah Jane StockPublic Health Scotland, Glasgow, UK.ORCID 0000-0003-4308-856X
Rachael WoodPublic Health Scotland, Glasgow, UK.ORCID 0000-0003-4453-623X
Scott M NelsonDentristy and Nursing, School of Medicine, University of Glasgow, Glasgow, UK.
Rachel KearnsDentristy and Nursing, School of Medicine, University of Glasgow, Glasgow, UK.
Anna PearceMRC/CSO Social and Public Health Sciences Unit, School of Health and Wellbeing, University of Glasgow, Glasgow, UK.
MRC/CSO Social and Public Health Sciences Unit · GBPublic Health Scotland · GBUniversity of Glasgow · GBUniversity of Aberdeen · GB

Funding

Medical Research Council MC_UU_00022/2Medical Research Council MR/S037608/1Wellcome Trust 205412/Z/16/ZWellcome Trust 209560/Z/17/Z
6 · The paper itself

Abstract

introductionThis protocol outlines aims to test the wider impacts of the COVID-19 pandemic on pregnancy and birth outcomes and inequalities in Scotland. METHOD AND ANALYSIS: We will analyse Scottish linked administrative data for pregnancies and births before (March 2010 to March 2020) and during (April 2020 to October 2020) the pandemic. The Community Health Index database will be used to link the National Records of Scotland Births and the Scottish Morbidity Record 02. The data will include about 500 000 mother-child pairs. We will investigate population-level changes in maternal behaviour (smoking at antenatal care booking, infant feeding on discharge), pregnancy and birth outcomes (birth weight, preterm birth, Apgar score, stillbirth, neonatal death, pre-eclampsia) and service use (mode of delivery, mode of anaesthesia, neonatal unit admission) during the COVID-19 pandemic using two analytical approaches. First, we will estimate interrupted times series regression models to describe changes in outcomes comparing prepandemic with pandemic periods. Second, we will analyse the effect of COVID-19 mitigation measures on our outcomes in more detail by creating cumulative exposure variables for each mother-child pair using the Oxford COVID-19 Government Response Tracker. Thus, estimating a potential dose-response relationship between exposure to mitigation measures and our outcomes of interest as well as assessing if timing of exposure during pregnancy matters. Finally, we will assess inequalities in the effect of cumulative exposure to lockdown measures on outcomes using several axes of inequality: ethnicity/mother's country of birth, area deprivation (Scottish Index of Multiple Deprivation), urban-rural classification of residence, number of previous children, maternal social position (National Statistics Socioeconomic Classification) and parental relationship status. ETHICS AND DISSEMINATION: NHS Scotland Public Benefit and Privacy Panel for Health and Social Care scrutinised and approved the use of these data (1920-0097). Results of this study will be disseminated to the research community, practitioners, policy makers and the wider public.

Indexed as

COVID-19Premature BirthCommunicable Disease ControlFemaleHumansInfantInfant, NewbornPandemicsPregnancyStillbirthCOVID-19EPIDEMIOLOGYOBSTETRICSPUBLIC HEALTH

Identifiers

PMID36792327
PMCPMC9933130
OpenAlexW4320912900

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.