Evidence map›Paper›PMID 40502893›Full record

ArticleCureus2025

A Retrospective Analysis Examining the Impact of Coexisting Diabetes and Substance Use Disorder on Hospital Resource Utilization.

Bilal Husain, Suchismita Ray

Abstract read
In one paragraph

Article in Cureus, 2025. 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

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

1 citing paper in PubMed.

  1. Review
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

2 authors.

Bilal HusainDepartment of Health Informatics, Rutgers University, Newark, USA.
Suchismita RayDepartment of Health Informatics, Rutgers University, Newark, USA.

Funding

Combined guanfacine and mindfulness meditation as an adjunct to buprenorphine maintenance in OUDR61DA059906 · NIDA · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI FOX, HELEN CECILIA, RAY, SUCHISMITA · 2024 to 2025
$813k
NIDA NIH HHS R61 DA059906
6 · The paper itself

Abstract

Background Substance use disorder (SUD) is characterized by the uncontrolled use of substances, leading to adverse health outcomes and increased strain on the healthcare system. Similarly, diabetes is a chronic and complex metabolic disease that significantly affects an individual's health and often necessitates additional healthcare resources for effective management. While existing literature highlights the individual impact of each condition on the healthcare system, evidence on their combined impact remains scarce. Objective The objective of this retrospective analysis was to compare hospital resource utilization among four groups: individuals with diabetes alone, SUD alone, coexisting diabetes and SUD, and neither condition. Methods The 2019 National Inpatient Sample (NIS), a large-scale inpatient discharge dataset, was used for this analysis. The dataset was filtered based on the objective of the present analysis into four groups: individuals with diabetes alone, SUD alone, coexisting diabetes and SUD, and neither condition. Diabetes types and substance related disorders were identified using the International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) codes. For each group, hospital resource utilization was assessed across three metrics: length of hospital stay (LOS), hospital charges, and utilization of emergency department (ED) services. All statistical tests were conducted using the IBM SPSS Statistics for Windows software and were adjusted for age, gender, and race to control for potential confounding effects. Analysis of Covariance (ANCOVA) tests were performed to analyze differences in LOS and hospital charges, while logistic regression was conducted to examine the differences in the utilization of ED services among the four groups. Results Statistical analysis revealed significant differences in LOS, hospital charges, and utilization of ED services among the four groups (p<0.001). The diabetes alone group had the longest average LOS, followed by the coexisting diabetes and SUD group, the SUD alone group, and then the group with neither condition. Similarly, significant differences were observed in the hospitalization charges, with the diabetes alone group incurring the highest mean charges, followed by the group with coexisting diabetes and SUD, followed by those with neither condition, and lastly, the group with SUD alone. Finally, the group with coexisting diabetes and SUD had significantly greater odds of utilization of ED services compared to any other group. Conclusion Individuals with diabetes alone demonstrated the longest LOS and highest hospitalization charges, while those with coexisting diabetes and SUD had the highest rates of utilization of ED services. These findings suggest that diabetes primarily drives inpatient resource usage, whereas coexisting diabetes and SUD contribute more significantly to emergency care utilization. Implementing targeted strategies to address the specific needs of these populations could significantly improve patient outcomes and reduce the burden on the healthcare system.

Indexed as

diabetesemergency department utilizationhcuphealthcare cost and utilization project (hcup)healthcare costshospital burdenlength of hospital stay (los)national inpatient sample (nis)substance use disorder (sud)

Identifiers

PMID40502893
PMCPMC12152229

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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.