Evidence map›Paper›PMID 37010867›Full record

ArticleJAMA network open2023

Comparison of Postpartum Opioid Prescriptions Before vs During the COVID-19 Pandemic.

Shelby R Steuart, Emily C Lawler, Grace Bagwell Adams, Hailemichael Shone, Amanda J Abraham

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2023. 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
2.9field-weighted citation impact, top 10% 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, 10 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 2 institutions in 1 country.

Shelby R SteuartDepartment of Public Administration and Policy, School of Public and International Affairs, University of Georgia, Athens.
Emily C LawlerDepartment of Public Administration and Policy, School of Public and International Affairs, University of Georgia, Athens.
Grace Bagwell AdamsDepartment of Health Policy and Management, College of Public Health, University of Georgia, Athens.
Hailemichael ShoneIrsay Institute, Indiana University, Bloomington.
Amanda J AbrahamDepartment of Public Administration and Policy, School of Public and International Affairs, University of Georgia, Athens.
University of Georgia · USIndiana University Bloomington · US

Funding

The Effect of Medical Cannabis Laws on Health Care Use in Insured Populations with Pain-S1R01DA047365 · NIDA · UNIVERSITY OF GEORGIA · PI ABRAHAM, AMANDA J · 2019 to 2023
$3.5M
NIDA NIH HHS R01 DA047365
6 · The paper itself

Abstract

Importance: The COVID-19 pandemic substantially disrupted routine health care and exacerbated existing barriers to health care access. Although postpartum women frequently experience pain that interferes with activities of daily living, which is often successfully treated with prescription opioid analgesics, they are also at high risk for opioid misuse. Objective: To compare postpartum opioid prescription fills after the onset of the COVID-19 pandemic in March 2020 with fills before the pandemic. Design, Setting, and Participants: In this cross-sectional study of 460 371 privately insured postpartum women who delivered a singleton live newborn between July 1, 2018, and December 31, 2020, postpartum opioid fills before March 1, 2020, were compared with fills after March 1, 2020. Statistical analysis was performed from December 1, 2021, to September 15, 2022. Exposure: COVID-19 pandemic onset in March 2020. Main Outcomes and Measures: The main outcome was postpartum opioid fills, defined as patient fills of opioid prescriptions during the 6 months after birth. Opioid prescriptions were explored in terms of 5 measures: mean number of fills per person, mean filled morphine milligram equivalents (MMEs) per day, mean days supplied, percentage of patients filling a prescription for a schedule II opioid, and percentage of patients filling a prescription for a schedule III or higher opioid. Results: Among 460 371 postpartum women (mean [SD] age at delivery, 29.0 [10.8] years), those who gave birth to a single, live newborn after March 2020 were 2.8 percentage points more likely to fill an opioid prescription than expected based on the preexisting trend (forecasted, 35.0% [95% CI, 34.0%-35.9%]; actual, 37.8% [95% CI, 36.8%-38.7%]). The COVID-19 period was also associated with an increase in MMEs per day (forecasted mean [SD], 34.1 [2.0] [95% CI, 33.6-34.7]; actual mean [SD], 35.8 [1.8] [95% CI, 35.3-36.3]), number of opioid fills per patient (forecasted, 0.49 [95% CI, 0.48-0.51]; actual, 0.54 [95% CI, 0.51-0.55]), and percentage of patients filling a schedule II opioid prescription (forecasted, 28.7% [95% CI, 27.9%-29.6%]; actual, 31.5% [95% CI, 30.6%-32.3%]). There was no significant association with days' suppy of opioids per prescription or percentage of patients filling a prescription for a schedule III or higher opioid. Results stratified by delivery modality showed that the observed increases were larger for patients who delivered by cesarean birth than those delivering vaginally. Conclusions and Relevance: This cross-sectional study suggests that the onset of the COVID-19 pandemic was associated with significant increases in postpartum opioid fills. Increases in opioid prescriptions may be associated with increased risk of opioid misuse, opioid use disorder, and opioid-related overdose among postpartum women.

Indexed as

COVID-19Opiate OverdoseOpioid-Related DisordersActivities of Daily LivingAnalgesics, OpioidChildCross-Sectional StudiesDrug PrescriptionsFemaleHumansInfant, NewbornPandemicsPostpartum PeriodPractice Patterns, Physicians'PregnancyAnalgesics, Opioid

Identifiers

PMID37010867
PMCPMC10071338
OpenAlexW4362523308

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.