Evidence map›Paper›PMID 32993719›Full record

ArticleSubstance abuse treatment, prevention, and policy2020

Healthcare cost associations of patients who use illicit drugs in Florida: a retrospective analysis.

Jessica L Ryan, Veronica R Rosa

Open access · goldAbstract read
In one paragraph

Article in Substance abuse treatment, prevention, and policy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.5field-weighted citation impact, top 10% of its field
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

7 citing papers in PubMed, 21 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Jessica L RyanUniversity of West Florida, 11000 University Parkway, Pensacola, FL, 32514, USA. jryan@uwf.edu.ORCID 0000-0001-5251-7501
Veronica R RosaUniversity of West Florida, 11000 University Parkway, Pensacola, FL, 32514, USA.
University of West Florida · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIllicit drug use increases visits to the hospital. Research is limited on the costs of these healthcare visits by illicit drug.

methodsFlorida's Agency for Health Care Administration's emergency department and inpatient datasets from 2016 to 2018 were analyzed. Adults who used an illicit drug were included in the study population resulting in 709,658 observations. Cost-to-charge ratios were used to estimate healthcare costs. Linear regression analyzed associations of illicit drugs with total healthcare cost.

resultsTotal healthcare costs are estimated at $6.4 billion over the 3 year period. Medicare paid for the most patient care ($2.16 billion) with Medicaid and commercial insurance each estimated at $1.36 billion. Cocaine (9.25%) and multiple drug use (6.12%) increased the costs of an ED visit compared to a patient with cannabis SUD. Opioids (23.40%) and inhalants use (16.30%) increased the costs of inpatient compared to cannabis SUD.

conclusionHealthcare costs are high of patients with illicit drug SUD and poisoning, over half of which are paid for with tax payer dollars and to an unknown degree hospital write-offs. Injuries and illness of patients using cocaine and multiple drugs are associated with more expensive ED patient care and opioids and inhalants are associated with more expensive inpatient care.

Indexed as

Illicit DrugsAdultAgedDrug OverdoseEmergency Service, HospitalFemaleFloridaHealth ExpendituresHumansMaleMedicaidMedicareMental DisordersMiddle AgedRetrospective StudiesSocioeconomic FactorsIllicit DrugsCharge-to-cost ratioHealthcare costsIllicit drug useMedicaidMedicareOpioids

Identifiers

PMID32993719
PMCPMC7523066
OpenAlexW3090603531

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.