Evidence map›Paper›PMID 39764386›Full record

ArticleDrug and alcohol dependence reports2024

Prevalence, patterns, and predictors of prescribing medications for opioid use disorder (MOUD) in the Inpatient setting.

Ashley Burke, Nina Vadiei, Lea Mollon

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

3 authors.

Ashley BurkeBanner - University Medical Center South, 2800 Ajo Way, Tucson, AZ 85713, United States.
Nina VadieiThe University of Texas at Austin, College of Pharmacy, Division of Pharmacotherapy, 8403 Floyd Curl Dr, Austin, TX 78229, United States.
Lea MollonBanner - University Medical Center South, 2800 Ajo Way, Tucson, AZ 85713, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: There are many barriers to prescribing medications for opioid use disorder (MOUD). This study evaluates the prevalence, patterns, and predictors of inpatient MOUD prescribing at discharge to patients with a diagnosis of opioid use/opioid use disorder (OUD) that developed opioid withdrawal during their hospital stay. Methods: This multicenter, retrospective cross-sectional study occurred at three hospitals in Arizona. Patients who developed opioid withdrawal during their hospitalization and had a documented opioid-related disorder between January 1, 2021, and January 1, 2022, were included in the study. Patient-specific factors were evaluated as predictors of MOUD prescribing at hospital discharge using descriptive, multivariate regression. Results: A total of 382 encounters were included; 249 had documented OUD (65.2 %), 75 of which were discharged with MOUD (75/249; 30.1 %). Patients with moderate/moderately severe opioid withdrawal had higher odds of being discharged with MOUD compared to those with mild opioid withdrawal (OR 2.87 [1.44-5.69], p=0.003). Patients admitted to the largest hospital in Phoenix had higher odds of being prescribed MOUD compared to the largest hospital in Tucson (OR 8.23 [3.02-22.49], p<0.001), as were patients who underwent a routine discharge compared to patient directed discharges (7.63 [2.35-24.71], p=0.001). Conclusions: Less than one-third of patients with OUD that developed opioid withdrawal during their hospitalization were prescribed MOUD at discharge. Treatment facility, opioid withdrawal severity, and discharge disposition were predictors of MOUD prescribing. Inpatient health-systems and policymakers may consider these data when developing policies/procedures aimed at increasing MOUD prescribing rates.

Indexed as

HospitalInpatientMedications for opioid use disorderMOUDOpioid use disorderOUDPatternsPredictorsPrevalence

Identifiers

PMID39764386
PMCPMC11701998

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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.