Evidence map›Paper›PMID 37378825›Full record

ArticleAdvances in therapy2023

Characterizing Opioid Use Disorder Encounters in the Midwest Region, USA.

Yifei Liu, Suman Sahil, Stacy L Farr, Holly N Hagle

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Article in Advances in therapy, 2023. 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. 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

4 authors.

Yifei LiuUniversity of Missouri - Kansas City School of Pharmacy, 1228 Health Sciences Building, 2464 Charlotte Street, Kansas City, MO, 64108, USA. liuyif@umkc.edu.ORCID http://orcid.org/0000-0003-3597-8706
Suman SahilUniversity of Missouri - Kansas City School of Medicine, Kansas City, MO, USA.
Stacy L FarrThe Healthcare Institute for Innovations in Quality, University of Missouri - Kansas City, Kansas City, MO, USA.
Holly N HagleThe Healthcare Institute for Innovations in Quality, University of Missouri - Kansas City, Kansas City, MO, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe opioid epidemic has taken its toll on the Midwest, a census region of the USA. The Midwest includes two census divisions: East North Central and West North Central. This study aimed (1) to characterize patient encounters of opioid use disorder (OUD) in the Midwest using the Health Facts

methodsThis study was a sub-analysis of a retrospective analysis of the Health Facts

resultsA total of 13,129 (23.7%) encounters were in East North Central, and 42,271 (76.3%) in West North Central. Patient characteristics that were associated with the highest frequency of encounters were Caucasian, male, single, and other patient types. In addition, rural areas had a higher number of encounters than urban areas. Compared with East North Central, West North Central had a greater average age and a longer average length of stay (p < 0.001). West North Central had a significantly higher proportion of patient encounters associated with patients being male, African American, single, and facilities being in rural areas (p < 0.001).

conclusionCompared to East North Central, patient encounters of OUD were more frequent and the average length of stay was longer than in West North Central. A significantly higher proportion of patient encounters in West North Central were associated with patients being male, African American, and single, and facilities being in rural areas.

Indexed as

Opioid-Related DisordersAnalgesics, OpioidFemaleHumansMaleRetrospective StudiesWhiteAnalgesics, OpioidCensus divisionGeographic variationHealth factsOpioid use disorderPatient encounterThe Midwest

Identifiers

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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.