Evidence map›Paper›PMID 34166146›Full record

ArticleMedical decision making : an international journal of the Society for Medical Decision Making2022

Reducing the Prevalence of Alcohol-Exposed Pregnancies in the United States: A Simulation Modeling Study.

Reza Yaesoubi, Maya Mahin, Geoffrey Martin, A David Paltiel, Mona Sharifi

Open access · greenAbstract read
In one paragraph

Article in Medical decision making : an international journal of the Society for Medical Decision Making, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

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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

5 authors at 3 institutions in 2 countries.

Reza YaesoubiDepartment of Health Policy and Management, Yale School of Public Health, New Haven, CT, USA.ORCID 0000-0002-9276-5750
Maya MahinDepartment of Health Policy and Management, Yale School of Public Health, New Haven, CT, USA.
Geoffrey MartinYale-NUS College, Singapore.
A David PaltielDepartment of Health Policy and Management, Yale School of Public Health, New Haven, CT, USA.
Mona SharifiDepartment of Pediatrics, Yale School of Medicine, New Haven, CT, USA.ORCID 0000-0002-1632-7038
Analysis Group (United States) · USYale-NUS College · SGYale University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Making Better Decisions: Policy Modeling for AIDS and Drug AbuseR37DA015612 · NIDA · STANFORD UNIVERSITY · PI DOUGLAS K OWENS · 2019 to 2026
$6.3M
Enhancing surveillance systems to slow the spread of antimicrobial-resistant gonorrhea in the United StatesR01AI153351 · NIAID · YALE UNIVERSITY · PI YAESOUBI, REZA · 2020 to 2024
$2.1M
Improving the control of multidrug-resistant tuberculosis through targeted screening and use of novel anti-tuberculosis drugsK01AI119603 · NIAID · YALE UNIVERSITY · PI YAESOUBI, REZA · 2016 to 2019
$518k
Using Electronic Health Records to Support Decision-Making in Pediatric Obesity CareK08HS024332 · AHRQ · YALE UNIVERSITY · PI SHARIFI, MAHNOOSH · 2016 to 2018
$461k
AHRQ HHS K08 HS024332NCATS NIH HHS UL1 TR001863NIAID NIH HHS K01 AI119603NIAID NIH HHS R01 AI153351NIDA NIH HHS R37 DA015612
6 · The paper itself

Abstract

backgroundPublic health efforts to prevent alcohol-exposed pregnancies (AEPs) primarily focus on promoting abstinence from alcohol among women if pregnant or seeking pregnancy and using effective contraception to prevent unintended pregnancies if consuming alcohol. Little is known about how programs to improve adherence to these recommendations would affect the prevalence of AEPs.

methodsWe developed an individual-based simulation model of US women of reproductive age to project the prevalence of AEPs under different public health strategies. The model varies each woman's risk of an AEP over time depending on fertility, contraceptive use, awareness of pregnancy, sexual activity, and drinking patterns. We used the 2013-2015 National Survey on Family Growth data set to parameterize the model.

resultsWe estimate that 54% (95% uncertainty interval: 48%-59%) of pregnancies that result in a live birth in the United States are exposed to alcohol, 12% (10%-15%) are ever exposed to ≥5 alcoholic drinks in a week, and 3.0% (1.3%-4.2%) to ≥9 drinks. Unintended pregnancies (either due to contraceptive failure or sex without contraceptives) account for 80% (75%-87%) of pregnancies unknowingly exposed to alcohol. We project that public health efforts that focus only on promoting alcohol abstinence among women who are aware of their pregnancy or seeking pregnancy could reduce the prevalence of AEPs by at most 42% (36%-48%). Augmenting this strategy with efforts to avert unintended pregnancies could yield an 80% (73%-86%) reduction in the prevalence of AEPs.

conclusionsPromoting alcohol abstinence among women who are aware of their pregnancy or seeking pregnancy offers limited potential to reduce the prevalence of AEPs. Programs to avert unintended pregnancies are essential to achieve more substantial reductions in AEPs in the United States.

Indexed as

ContraceptionSexual BehaviorFemaleHealth BehaviorHumansPregnancyPrevalenceUnited Statesalcohol consumptionalcohol exposurepregnancyrisksimulation

Identifiers

PMID34166146
PMCPMC8702569
OpenAlexW3173895593

What OpenQuestion holds

Textmetadata
LicenceTDM
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.