Evidence map›Paper›PMID 35149439›Full record

ArticleDrug and alcohol dependence2022

Trends, patterns, and maternal characteristics of opioid prescribing during pregnancy in a large population-based cohort study.

Sarah Nechuta, Sutapa Mukhopadhyay, Molly Golladay, Jacob Rainey, Shanthi Krishnaswami

Open access · greenAbstract read
In one paragraph

Article in Drug and alcohol dependence, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
6.5field-weighted citation impact, top 3% 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

9 citing papers in PubMed, 18 citations in OpenAlex.

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  7. Trends in prenatal prescription opioid use among Medicaid beneficiaries in Wisconsin, 2010-2019.Journal of perinatology : official journal of the California Perinatal Association · 2024
    Article
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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 1 country.

Sarah NechutaGrand Valley State University, Department of Public Health, College of Health Professions, Grand Rapids, MI 49503, USA; Tennessee Department of Health, Office of Informatics and Analytics, Nashville, TN 37243, USA. Electronic address: nechutas@gvsu.edu.
Sutapa MukhopadhyayTennessee Department of Health, Office of Informatics and Analytics, Nashville, TN 37243, USA.
Molly GolladayTennessee Department of Health, Office of Informatics and Analytics, Nashville, TN 37243, USA; Tennessee Department of Health, Office of the State Chief Medical Examiner, Nashville, TN 37243, USA.
Jacob RaineyTennessee Department of Health, Office of Informatics and Analytics, Nashville, TN 37243, USA; Johns Hopkins University, Department of Mental Health, 624 N. Broadway, Baltimore, MD 21205, USA.
Shanthi KrishnaswamiTennessee Department of Health, Office of Informatics and Analytics, Nashville, TN 37243, USA.
Tennessee Department of Health · USGrand Valley State University · USJohns Hopkins University · US

Funding

Integrating data for causal inference in behavioral healthT32MH122357 · NIMH · JOHNS HOPKINS UNIVERSITY · PI Rashelle Jean Musci, Elizabeth A. Stuart · 2020 to 2026
$1.8M
TENNESSEE DEPARTMENT OF HEALTH: PRESCRIPTION DRUG OVERDOSE PREVENTION EFFORTSU17CE002731 · CE · TENNESSEE STATE DEPARTMENT OF HEALTH · PI JONES, TIM F · 2015 to 2015
$861k
CDC HHS NU17CE002731NCIPC CDC HHS U17 CE002731NIMH NIH HHS T32 MH122357
6 · The paper itself

Abstract

backgroundOpioid use during pregnancy has been associated with adverse maternal and infant health outcomes. Prescription drug monitoring programs (PDMP) provide a population-based source of prescription data. We linked statewide PDMP and birth certificate data in Tennessee (TN) to determine patterns of prescription opioid and benzodiazepine use during pregnancy.

methodsWe constructed a cohort of 311,217 live singleton births from 2013 to 2016 with prescription history from 90 days before pregnancy to birth. Descriptive statistics were used to describe opioid prescription patterns during pregnancy overall, by maternal characteristics and by year. Multivariable logistic regression models estimated adjusted odds ratios and 95% confidence intervals for factors associated with prescription use.

resultsThe prevalence of prescription use during pregnancy was 14.1% for opioid analgesics, 1.6% buprenorphine for medication-assisted treatment, and 2.6% for benzodiazepines. The prevalence of opioid analgesic use decreased from 16.6% (2013) to 11.8% (2016) (p CONCLUSION(S): Despite the encouraging trend of decreasing use of prescription opioid analgesics, the overall prevalence remained close to 12% with many women using for long durations. Use was associated with lower socioeconomic status, obesity, and prenatal smoking. Findings highlight the need for maternal education and resources, and provider support for implementation of evidence-based care.

Indexed as

Opioid-Related DisordersPrescription Drug Monitoring ProgramsAnalgesicsAnalgesics, OpioidBenzodiazepinesCohort StudiesFemaleHumansObesityPractice Patterns, Physicians'PregnancyAnalgesicsAnalgesics, OpioidBenzodiazepinesCohortDescriptive epidemiologyMaternal opioid useOpioid prescribingPregnancyPrescription drug monitoring programs

Identifiers

PMID35149439
PMCPMC10838571
OpenAlexW4210385425

What OpenQuestion holds

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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.