Evidence map›Paper›PMID 40615891›Full record

ArticleBMC health services research2025

Healthcare utilization trends among patients with opioid use disorder in U.S. Hospitals: an analysis of length of stay, total charges, and costs, 2005-2020.

Fares Qeadan, Alexander Nicolson, Benjamin Tingey, Maurice L Moffett, Sunday Azagba

Abstract read
In one paragraph

Article in BMC health services research, 2025. 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
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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.

Fares QeadanParkinson School of Health Sciences and Public Health, Loyola University, 2160 S 1st Ave, Maywood, Chicago, IL, 60153, USA. fqeadan@luc.edu.
Alexander NicolsonParkinson School of Health Sciences and Public Health, Loyola University, 2160 S 1st Ave, Maywood, Chicago, IL, 60153, USA.
Benjamin TingeyParkinson School of Health Sciences and Public Health, Loyola University, 2160 S 1st Ave, Maywood, Chicago, IL, 60153, USA.
Maurice L MoffettThe Robert F. Wagner Graduate School of Public Service, New York University, New York, NY, USA.
Sunday AzagbaNese College of Nursing, Penn State University, (State College), University Park, PA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study examines the relationship between opioid use disorder (OUD) and healthcare use, especially regarding length of stay, total charges, and costs in U.S. hospitals from 2005 to 2020.

methodsWe used the Healthcare Cost & Utilization Projects (HCUP) National Inpatient Sample (NIS) data to compare these outcomes between patients with and without OUD. We applied generalized linear modeling (GLM) with gamma distribution and log link to assess the effect of OUD on the three outcomes.

resultsOur results show that hospital stays for patients with OUD were significantly longer, while total charges and costs were lower than those without OUD. Over time, there was a tendency towards convergence between total charges and costs for OUD and non-OUD patients. The study also revealed that the severity of illness was strongly related to length of stay, total charge, and total cost, and OUD patients with greater illness severity and comorbid conditions demonstrated increased outcomes compared to those without OUD, with increased total costs and charges in 2020.

conclusionsOur results offer important insights into the healthcare impact of OUD. Future studies should use patient-level data to better understand the overall healthcare use per person rather than per hospital stay, as well as more recent years of data to study greater Covid-19 specific impacts. IMPLICATIONS: The study emphasizes the need for more efforts to decrease the prevalence of OUD in the U.S. to help ease the pressure on the healthcare system. It also demonstrates the potential influence of the severity of illness and comorbidity on healthcare use, suggesting a need for specific interventions for patients with severe conditions.

Indexed as

Health Care CostsHospital ChargesLength of StayOpioid-Related DisordersPatient Acceptance of Health CareAdultFemaleHumansMaleMiddle AgedSeverity of Illness IndexUnited StatesGeneralized linear modellingHCUP National inpatient sampleHealthcare utilizationLength of stayOpioid use disorderSeverity of illnessTotal chargesTotal costs

Identifiers

PMID40615891
PMCPMC12226882

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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.