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. 2023 Aug 10;18(8):e0288952.
doi: 10.1371/journal.pone.0288952. eCollection 2023.

How do perceptions of Covid-19 risk impact pregnancy-related health decisions? A convergent parallel mixed-methods study protocol

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How do perceptions of Covid-19 risk impact pregnancy-related health decisions? A convergent parallel mixed-methods study protocol

Meredith Vanstone et al. PLoS One. .

Abstract

Introduction: Pregnant people have a higher risk of severe COVID-19 disease. They have been disproportionately impacted by COVID-19 infection control policies, which exacerbated conditions resulting in intimate partner violence, healthcare access, and mental health distress. This project examines the impact of accumulated individual health decisions and describes how perinatal care and health outcomes changed during the COVID-19 pandemic.

Objectives: Quantitative strand: Describe differences between 2019, 2021, and 2022 birth groups related to maternal vaccination, perinatal care, and mental health care. Examine the differential impacts on racialized and low-income pregnant people.Qualitative strand: Understand how pregnant people's perceptions of COVID-19 risk influenced their decision-making about vaccination, perinatal care, social support, and mental health.

Methods and analysis: This is a Canadian convergent parallel mixed-methods study. The quantitative strand uses a retrospective cohort design to assess birth group differences in rates of Tdap and COVID-19 vaccination, gestational diabetes screening, length of post-partum hospital stay, and onset of depression, anxiety, and adjustment disorder, using administrative data from ICES, formerly the Institute for Clinical Evaluative Sciences (Ontario) and PopulationData BC (PopData) (British Columbia). Differences by socioeconomic and ethnocultural status will also be examined. The qualitative strand employs qualitative description to interview people who gave birth between May 2020- December 2021 about their COVID-19 risk perception and health decision-making process. Data integration will occur during design and interpretation.

Ethics and dissemination: This study received ethical approval from McMaster University and the University of British Columbia. Findings will be disseminated via manuscripts, presentations, and patient-facing infographics.

Trial registration: Registration: Clinicaltrials.gov registration number: NCT05663762.

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Conflict of interest statement

The authors have no conflicts of interest to declare.

Figures

Fig 1
Fig 1. Study population for quantitative portion by birth group.
Fig 2
Fig 2. Timeframes of interest for quantitative analyses.

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References

    1. Woodworth KR, Olsen EOM, Neelam V, Lewis EL, Galang RR, Oduyebo T, et al.. Birth and infant outcomes following laboratory-confirmed SARS-CoV-2 infection in pregnancy—SET-NET, 16 jurisdictions, March 29–October 14, 2020. Morbidity and Mortality Weekly Report. 2020;69(44):1635. doi: 10.15585/mmwr.mm6944e2 - DOI - PMC - PubMed
    1. Wei SQ, Bilodeau-Bertrand M, Liu S, Auger N. The impact of COVID-19 on pregnancy outcomes: a systematic review and meta-analysis. Cmaj. 2021;193(16):E540–E8. doi: 10.1503/cmaj.202604 - DOI - PMC - PubMed
    1. Zambrano LD, Ellington S, Strid P, Galang RR, Oduyebo T, Tong VT, et al.. Update: characteristics of symptomatic women of reproductive age with laboratory-confirmed SARS-CoV-2 infection by pregnancy status—United States, January 22–October 3, 2020. Morbidity and Mortality Weekly Report. 2020;69(44):1641. doi: 10.15585/mmwr.mm6944e3 - DOI - PMC - PubMed
    1. Joseph NT, Stanhope KK, Badell ML, Horton JP, Boulet SL, Jamieson DJ. Sociodemographic predictors of SARS-CoV-2 infection in obstetric patients, Georgia, USA. Emerging infectious diseases. 2020;26(11):2786. doi: 10.3201/eid2611.203091 - DOI - PMC - PubMed
    1. Burki T. The indirect impact of COVID-19 on women. The Lancet Infectious Diseases. 2020;20(8):904–5. doi: 10.1016/S1473-3099(20)30568-5 - DOI - PMC - PubMed

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