Evidence map›Paper›PMID 33890276›Full record

ArticleJournal of opioid management

Opioid prescription claims among women aged 15-44 years-United States, 2013-2017.

April D Summers, Elizabeth C Ailes, Michele K Bohm, Emmy L Tran, Cheryl S Broussard, Meghan T Frey, Suzanne M Gilboa, Jean Y Ko, Jennifer N Lind, Margaret A Honein

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of opioid management. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Accuracy of diagnostic codes for prenatal opioid exposure and neonatal opioid withdrawal syndrome.Journal of perinatology : official journal of the California Perinatal Association · 2023
    Article
  3. Gabapentin as Adjunctive Therapy in Neonatal Opioid Withdrawal Syndrome: A Case Series.The journal of pediatric pharmacology and therapeutics : JPPT : the official journal of PPAG · 2023
    Article
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

10 authors.

April D SummersDivision of Birth Defects and Infant Disorders, National Center on Birth Defects and Developmental Disabilities, CDC, Chamblee, Georgia.
Elizabeth C AilesDivision of Birth Defects and Infant Disorders, National Center on Birth Defects and Developmental Disabilities, CDC, Chamblee, Georgia.
Michele K BohmDivision of Unintentional Injury Prevention, National Center for Injury Prevention and Control, CDC, Chamblee, Georgia.
Emmy L TranDivision of Birth Defects and Infant Disorders, National Center on Birth Defects and Developmental Disabilities, CDC, Chamblee, Georgia; Oak Ridge Institute for Science and Education, Oak Ridge, Tennessee.
Cheryl S BroussardDivision of Birth Defects and Infant Disorders, National Center on Birth Defects and Developmental Disabilities, CDC, Chamblee, Georgia.
Meghan T FreyDivision of Birth Defects and Infant Disorders, National Center on Birth Defects and Developmental Disabilities, CDC, Chamblee, Georgia.
Suzanne M GilboaDivision of Birth Defects and Infant Disorders, National Center on Birth Defects and Developmental Disabilities, CDC, Chamblee, Georgia.
Jean Y KoDivision of Reproductive Health, National Center for Chronic Disease Prevention and Health Promotion, CDC, Chamblee, Georgia; United States Public Health Service, Commissioned Corps.
Jennifer N LindDivision of Birth Defects and Infant Disorders, National Center on Birth Defects and Developmental Disabilities, CDC, Chamblee, Georgia; United States Public Health Service, Commissioned Corps.
Margaret A HoneinDivision of Birth Defects and Infant Disorders, National Center on Birth Defects and Developmental Disabilities, CDC, Chamblee, Georgia.

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

objectiveTo estimate the annual percentage of women of reproductive age with private insurance or Medicaid who had opioid prescription claims during 2013-2017 and describe trends over time.

designA secondary analysis of insurance claims data from IBM MarketScan® Commercial and Multi-State Medicaid Databases to assess outpatient pharmacy claims for prescription opioids among women aged 15-44 years during 2013-2017.

participantsAnnual cohorts of 3.5-3.8 million women aged 15-44 years with private insurance and 0.9-2.1 million women enrolled in Medicaid.

main outcome measureThe percentage of women aged 15-44 years with outpatient pharmacy claims for opioid prescriptions.

resultsDuring 2013-2017, the proportion of women aged 15-44 years with private insurance who had claims for opioid prescriptions decreased by 22.1 percent, and among women enrolled in Medicaid, the proportion decreased by 31.5 -percent.

conclusionsOpioid prescription claims decreased from 2013 to 2017 among insured women of reproductive age. However, opioid prescription claims remained common and were more common among women enrolled in Medicaid than those with private insurance; additional strategies to improve awareness of the risks associated with opioid prescribing may be needed.

Indexed as

Analgesics, OpioidPractice Patterns, Physicians'AdolescentAdultDatabases, FactualDrug PrescriptionsFemaleHumansMedicaidPrescriptionsUnited StatesYoung AdultAnalgesics, Opioid

Identifiers

PMID33890276
PMCPMC8404075

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.