ArticleJournal of primary care & community health
The Effect of the COVID-19 Pandemic on Prescribing Medications for Opioid Use Disorder in the Mid-Michigan Region.
Article in Journal of primary care & community health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Post-pandemic mental health: Understanding the global psychological burden and charting future research priorities.World journal of psychiatry · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe increasing prevalence of opioid use coupled with the emergence of the Coronavirus Disease-19 (COVID-19) pandemic impacted opioid overdoses and death rates. People with opioid use disorder (OUD) are particularly vulnerable to the pandemic's consequences. Although Medications for Opioid Use Disorder (MOUD) are the most well supported treatment for OUD, they remain underutilized by clinicians, particularly in the primary care setting, emphasizing the importance of examining factors that impact prescribing.
objectiveTo assess clinicians' prescribing practices for MOUD and assess the pandemic's effect on MOUD prescription. To determine whether there is an association between patient-specific factors, such as mental health diagnoses and substance use disorder (SUD), and MOUD prescription practices prior to and during the COVID-19 pandemic.
methodsA retrospective chart review assessed 500 patient charts with a diagnosis of OUD to assess demographics, MOUD prescribing, substance use, and co-morbid mental health conditions.
results312 charts met inclusion criteria. There was no significant difference in the percentage of new MOUD prescriptions among the selected cohort between the 2 selected timeframes, nor was there a significant difference in the prescriber/setting of new prescriptions. Cumulative analysis revealed that greater than 2/3 of the selected patients had concurrent mental health diagnoses. Greater than 50% of patients reported active non-opioid substance use. The odds of having a co-occurring SUD were significantly higher among patients treated in the emergency department and various treatment settings-including urgent care and non-primary care clinics-as compared to the primary care outpatient setting.
conclusionsStrong evidence supports the efficacy of using MOUD in primary care, yet it is underutilized in the mid-Michigan region. Overall prevalence of mental health diagnoses, SUD, MOUD prescriber practices were similar prior to and during the COVID-19 pandemic. There was a high occurrence of co-occurring SUD especially among patients treated outside of the primary care setting. Future initiatives to increase clinician education around MOUD and address patient barriers to treatment are warranted.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.