Evidence map›Paper›PMID 30848807›Full record

ArticleJAMA network open2019

Association of Criminal Statutes for Opioid Use Disorder With Prevalence and Treatment Among Pregnant Women With Commercial Insurance in the United States.

Laura E Gressler, Savyasachi Shah, Fadia T Shaya

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
5.1field-weighted citation impact, top 5% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
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  4. Telehealth Utilization for Opioid Use Disorder: A Nationwide Analysis Before and After the COVID-19 Public Health Emergency Declaration.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2024
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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

3 authors at 1 institution in 1 country.

Laura E GresslerPharmaceutical Health Services Research, University of Maryland School of Pharmacy, Baltimore.
Savyasachi ShahPharmaceutical Health Services Research, University of Maryland School of Pharmacy, Baltimore.
Fadia T ShayaPharmaceutical Health Services Research, University of Maryland School of Pharmacy, Baltimore.
University of Maryland, Baltimore · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Inadequate treatment of opioid use disorder (OUD) in pregnant women increases the risk of life-threatening consequences on maternal and fetal outcomes. Untreated OUD during pregnancy is associated with higher rates of adverse outcomes among newborns. Objective: To examine the variation in the prevalence of OUD and the use of medication-assisted treatment among commercially insured pregnant women according to region and state legislature. Design, Setting, and Participants: Cohort study in which the patient cohort used was derived from a 10% random sample of enrollees within the IQVIA PharMetrics Plus adjudicated claims and enrollment database from 2007 to 2015. The database consists of a 10% random sample of private health insurance recipients in the United States and contains claims and enrollment data that are representative of the commercially insured US population. The cohort comprised women (n = 110 285) between 18 and 45 years of age with a code indicating a delivery and continuous insurance enrollment 9 months before and 12 months after delivery. Data analysis was performed from December 2017 to May 2018. Exposures: Based on their state of residence, the women were classified into 4 different regions: South, Midwest, West, and Northeast. Those residing in states with statutes that imposed civil or criminal penalties for OUD diagnosis during pregnancy were placed in a separate population from those residing in states without these statutes. Main Outcomes and Measures: Diagnosis of OUD in the 9 months before delivery and the receipt of medication-assisted treatment in the 9 months before or 12 months after delivery. Results: The 110 285 pregnant women included in the analysis had a mean (SD) age of 30.26 (5.59) years, with most (67 771 [61.5%]) falling within the 26- to 35-year age range. Of this cohort, 277 women (0.25%) had a diagnosis of OUD and 312 (0.28%) received treatment. Among the 277 women with OUD, 127 (45.9%) received treatment. The prevalence of an OUD diagnosis and receipt of treatment within regions was statistically significant (OUD diagnosis by region: Midwest, 0.05%; North, 0.09%; South, 0.06%; West, 0.06%; χ23 = 45.1148 [P < .001]; OUD treatment by region: Midwest, 0.05%; North, 0.08%; South, 0.10%; West, 0.05%; χ23 = 26.5654 [P < .001]). The prevalence of OUD diagnosis was also statistically significant when comparing women residing in states with statutes with those in states without statutes (OUD diagnosis by criminal statutes: criminalization, 0.07%; no criminalization, 0.18%; χ21 = 14.6456 [P < .001]; OUD treatment by criminal statutes: criminalization, 0.12%; no criminalization, 0.17%; χ21 = 0.0895); the receipt of treatment was not statistically significant (P = .76). Conclusions and Relevance: These results appeared to show significant variations in the patterns of OUD diagnosis and receipt of medication-assisted treatment among pregnant women, suggesting the need to further explore the source of these variations.

Indexed as

Opiate Substitution TreatmentOpioid-Related DisordersPregnancy ComplicationsAdultCohort StudiesCriminal BehaviorCriminalsFemaleHumansInsurance, HealthOutcome Assessment, Health CarePatient CompliancePregnancyPregnant PeoplePrevalenceUnited States

Identifiers

PMID30848807
PMCPMC6484651
OpenAlexW2922415783

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.