Evidence map›Paper›PMID 39286538›Full record

ArticleDrug and alcohol dependence reports2024

Impact of COVID-19 on MOUD retention in a sample of rural primary care patients: A secondary analysis of electronic health records.

Stacy Calhoun, Huiying Guo, Zhe Fei, Chunqing Lin, Sarah E Clingan, Yuhui Zhu, Larissa J Mooney, Yih-Ing Hser

Abstract read
In one paragraph

Article in Drug and alcohol dependence reports, 2024. 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. Article
  3. 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

8 authors.

Stacy CalhounDepartment of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA.
Huiying GuoDepartment of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA.
Zhe FeiDepartment of Statistics, University California, Riverside, CA, USA.
Chunqing LinDepartment of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA.
Sarah E ClinganDepartment of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA.
Yuhui ZhuDepartment of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA.
Larissa J MooneyDepartment of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA.
Yih-Ing HserDepartment of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA.

Funding

Greater Southern California Node of the Clinical Trials NetworkUG1DA049435 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI YIH-ING HSER · 2019 to 2026
$16.7M
NIDA NIH HHS UG1 DA049435
6 · The paper itself

Abstract

Introduction: There is limited research examining factors impacting MOUD retention in rural settings, especially within the context of the COVID-19 pandemic. Using electronic health records data collected as part of a NIDA Clinical Trials Network study (CTN-0102), this study explored how the onset of the COVID-19 pandemic may have impacted MOUD retention in a sample of 563 rural primary care patients. Methods: Cox regression model was applied to examine if COVID-19 was related to treatment retention, controlling for demographics, clinic, insurance type, and other diagnoses. The independent variable was the number of days between the patient's first MOUD prescription date during the pre-COVID observation period (10/1/2019-3/13/2020) and the start of the COVID-19 pandemic. The dependent variable was retention on MOUD, defined as the time from the first MOUD prescription documented during the pre-COVID observation period to the first break in consecutive MOUD prescriptions (right censored at 180 days). Results: The findings demonstrated that there was a reduced risk of a prescription break for every 10-day increase in the time from the first documented MOUD prescription to the onset of the COVID-19 pandemic (HR = 0.96, 95 % CI = 0.92-0.99; Conclusions: While the data did not include complete treatment histories to determine who was new to MOUD treatment, the findings suggest that patients whose first documented MOUD prescription in the dataset was closer to the onset of the pandemic had a greater likelihood of experiencing retention challenges. This underscores the importance for clinics to establish comprehensive contingency plans for future emergencies to ensure uninterrupted MOUD treatment and support, particularly for individuals in the early stabilization phase of their recovery.

Indexed as

COVID-19Medication for opioid use disorderOpioid use disorderPrimary careRural community

Identifiers

PMID39286538
PMCPMC11403463

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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.