Evidence map›Paper›PMID 24534260›Full record

ArticleBMJ open2014

Medication use in pregnancy: a cross-sectional, multinational web-based study.

A Lupattelli, O Spigset, M J Twigg, K Zagorodnikova, A C Mårdby, M E Moretti, M Drozd, A Panchaud, K Hämeen-Anttila, A Rieutord and 8 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 224 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
224citing papers in PubMed, 9 pooled it
25.7field-weighted citation impact, top 1% 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

224 citing papers in PubMed, 9 syntheses or guidelines pooled it, 488 citations in OpenAlex.

  1. Pooled it
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  3. Determinants of Self-Medication in Immigrants: A Systematic Review.Journal of immigrant and minority health · 2025
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  19. Exposure to Acetaminophen (Paracetamol) during Pregnancy and Childhood Cancer: A Population-Based Cohort Study in Taiwan.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
    Article
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164 more citing papers are in PubMed but not listed here.

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

18 authors at 15 institutions in 14 countries.

A LupattelliSchool of Pharmacy, University of Oslo, Oslo, Norway.
O Spigset
M J Twigg
K Zagorodnikova
A C Mårdby
M E Moretti
M Drozd
A Panchaud
K Hämeen-Anttila
A Rieutord
R Gjergja Juraski
M Odalovic
D Kennedy
G Rudolf
H Juch
A Passier
I Björnsdóttir
H Nordeng
University of Oslo · NOAssistance Publique – Hôpitaux de Paris · FRChildren's Hospital Srebrnjak · HRFinnish Medicines Agency Fimea · FIHospital for Sick Children · CALjubljana University Medical Centre · SIMedical University of Graz · ATMedical University of Lublin · PLNetherlands Pharmacovigilance Centre Lareb · NLNorwegian University of Science and Technology · NORoyal Hospital for Women · AUUniversity of Belgrade · RSUniversity of East Anglia · GBUniversity of Geneva · CHUniversity of Gothenburg · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesIntercountry comparability between studies on medication use in pregnancy is difficult due to dissimilarities in study design and methodology. This study aimed to examine patterns and factors associated with medications use in pregnancy from a multinational perspective, with emphasis on type of medication utilised and indication for use.

designCross-sectional, web-based study performed within the period from 1 October 2011 to 29 February 2012. Uniform collection of drug utilisation data was performed via an anonymous online questionnaire.

settingMultinational study in Europe (Western, Northern and Eastern), North and South America and Australia.

participantsPregnant women and new mothers with children less than 1 year of age. PRIMARY AND SECONDARY OUTCOME MEASURES: Prevalence of and factors associated with medication use for acute/short-term illnesses, chronic/long-term disorders and over-the-counter (OTC) medication use.

resultsThe study population included 9459 women, of which 81.2% reported use of at least one medication (prescribed or OTC) during pregnancy. Overall, OTC medication use occurred in 66.9% of the pregnancies, whereas 68.4% and 17% of women reported use of at least one medication for treatment of acute/short-term illnesses and chronic/long-term disorders, respectively. The extent of self-reported medicated illnesses and types of medication used by indication varied across regions, especially in relation to urinary tract infections, depression or OTC nasal sprays. Women with higher age or lower educational level, housewives or women with an unplanned pregnancy were those most often reporting use of medication for chronic/long-term disorders. Immigrant women in Western (adjusted OR (aOR): 0.55, 95% CI 0.34 to 0.87) and Northern Europe (aOR: 0.50, 95% CI 0.31 to 0.83) were less likely to report use of medication for chronic/long-term disorders during pregnancy than non-immigrants.

conclusionsIn this study, the majority of women in Europe, North America, South America and Australia used at least one medication during pregnancy. There was a substantial inter-region variability in the types of medication used.

Indexed as

Acute DiseaseAdultAge FactorsAustraliaChronic DiseaseCross-Sectional StudiesEducational StatusEmigrants and ImmigrantsEuropeFemaleHealth Care SurveysHumansInternetNonprescription DrugsNorth AmericaPregnancyNonprescription DrugsPrescription DrugsMaternal medicine < OBSTETRICSPublic HealthTherapeutics

Identifiers

PMID24534260
PMCPMC3927801
OpenAlexW2120324887

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.