Evidence map›Paper›PMID 33612194›Full record

ArticleJournal of substance abuse treatment2021

Sharp decline in hospital and emergency department initiated buprenorphine for opioid use disorder during COVID-19 state of emergency in California.

Andrew A Herring, Mariah Kalmin, Melissa Speener, David Goodman-Meza, Hannah Snyder, Arianna Campbell, Aimee Moulin, Steve Shoptaw

Abstract readMulticenter Study
In one paragraph

Article in Journal of substance abuse treatment, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. The relationship between COVID-19 and opioid-related emergency department visits in Alberta, Canada: an interrupted time series analysis.Health promotion and chronic disease prevention in Canada : research, policy and practice · 2025
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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

8 authors.

Andrew A HerringDepartment of Emergency Medicine and Internal Medicine, Highland Hospital-Alameda Health System, Oakland, CA, United States of America; California Bridge Program, Public Health Institute, United States of America; University of California, San Francisco, San Francisco, CA, United States of America. Electronic address: aherring@alamedahealthsystem.org.
Mariah KalminDepartment of Family Medicine, University of California, Los Angeles, Los Angeles, CA, United States of America.
Melissa SpeenerDivision of Infectious Diseases, University of California, Los Angeles, Los Angeles, CA, United States of America.
David Goodman-MezaDepartment of Family Medicine, University of California, Los Angeles, Los Angeles, CA, United States of America; Division of Infectious Diseases, University of California, Los Angeles, Los Angeles, CA, United States of America.
Hannah SnyderDepartment of Family and Community Medicine, University of California, San Francisco, San Francisco, CA, United States of America; California Bridge Program, Public Health Institute, United States of America.
Arianna CampbellCalifornia Bridge Program, Public Health Institute, United States of America; Department of Emergency Medicine, Marshall Medical Center, Placerville, CA, United States of America.
Aimee MoulinCalifornia Bridge Program, Public Health Institute, United States of America; Department of Emergency Medicine and Psychiatry, UC Davis Medical Center, Sacramento, CA, United States of America.
Steve ShoptawDepartment of Family Medicine, University of California, Los Angeles, Los Angeles, CA, United States of America.

Funding

Using data science to measure the impact of opioid agonist therapy in patients admitted with Staphylococcus aureus bloodstream infectionsK08DA048163 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GOODMAN, DAVID · 2019 to 2023
$1.0M
NIDA NIH HHS K08 DA048163
6 · The paper itself

Abstract

The California Bridge Program supports expansion of medications for opioid use disorder (MOUD) in emergency departments (EDs) and hospital inpatient units across the state. Here, we describe the change in activity before and after the coronavirus disease 2019 (COVID-19) California statewide shutdown. Of the 70 participating hospitals regionally distributed across California, 52 report MOUD-related activity monthly. We analyzed data on outcomes of OUD care and treatment: identification of OUD, acceptance of referral, receipt of buprenorphine prescription, administration of buprenorphine, and follow-up linkage to outpatient OUD treatment, from May 2019 to April 2020. In estimating the expected number of patients who met each outcome in April 2020, we found decreases in the expected to observed number of patients across all outcomes (all p-values<0.002): 37% (from 1053 to 667) decrease in the number of patients identified with OUD, 34% (from 632 to 420) decrease in the number of patients who accepted a referral, 48% (from 521 to 272) decrease in the number of patients who were prescribed buprenorphine, 53% (from 501 to 234) decrease in the number of patients who were administered buprenorphine, and 33% (from 416 to 277) decrease in the number of patients who attended at least one follow-up visit for addiction treatment. The COVID-19 California statewide shutdown was associated with an abrupt and large decrease in the progress toward expanded access to OUD treatment.

Indexed as

COVID-19Outcome Assessment, Health CarePractice Patterns, Physicians'SARS-CoV-2BuprenorphineCaliforniaEmergency Service, HospitalHumansNarcotic AntagonistsOpioid-Related DisordersBuprenorphineNarcotic AntagonistsAdministration and dosageBuprenorphineEmergency servicesOpiate substitution treatmentOpioid-related disorders

Identifiers

PMID33612194
PMCPMC7832157

What OpenQuestion holds

Textmetadata
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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.