Evidence map›Paper›PMID 34134872›Full record

ReviewJournal of substance abuse treatment2021

Characterizing trends in methamphetamine-related health care use when there is no ICD code for "methamphetamine use disorder".

Riley D Shearer, Nathan D Shippee, Tyler N A Winkelman

Open access · greenAbstract readReview
In one paragraph

Review in Journal of substance abuse treatment, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

19 citing papers in PubMed, 25 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

3 authors at 3 institutions in 1 country.

Riley D ShearerDepartment of Health Policy and Management, School of Public Health, University of Minnesota, 420 Delaware St. S.E., Minneapolis, MN 55455, United States of America. Electronic address: shear162@umn.edu.
Nathan D ShippeeDepartment of Health Policy and Management, School of Public Health, University of Minnesota, 420 Delaware St. S.E., Minneapolis, MN 55455, United States of America. Electronic address: nshippee@umn.edu.
Tyler N A WinkelmanHealth, Homelessness, and Criminal Justice Lab, Hennepin Healthcare Research Institute, 701 Park Ave., Suite PP7.700, Minneapolis, MN 55415, United States of America; General Internal Medicine, Department of Medicine, Hennepin Healthcare, 715 South 8th Street, Minneapolis, MN 55404, United States of America. Electronic address: Tyler.Winkelman@hcmed.org.
Hennepin Healthcare Research Institute · USMinnesota Department of Health · USUniversity of Minnesota · US

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM008244 · NIGMS · UNIVERSITY OF MINNESOTA TWIN CITIES · PI SHIMIZU, YOJI · 1988 to 2024
$13.6M
NIGMS NIH HHS T32 GM008244
6 · The paper itself

Abstract

BACKGROUND AND

aimsThe recent surge in methamphetamine use highlights the need for timely data on its health effects and healthcare service use impact. However, there is no ICD code for methamphetamine use. This study quantifies the positive predictive value of ICD-9-CM and ICD-10-CM psychostimulant codes for methamphetamine use.

methodsA retrospective chart review of 220 adults aged 18 and older who had an inpatient admission with a psychostimulant-associated billing diagnosis at an urban safety-net hospital. Diagnoses were categorized as either methamphetamine-related or involving another specific psychostimulant. The positive predictive value of both ICD-9-CM or ICD-10-CM psychostimulant diagnosis codes for methamphetamine use was calculated.

resultsICD-9-CM and ICD-10-CM psychostimulant codes had high positive predictive values of 78.2% (95% CI 70.3%-86.0%) and 85.5% (95% CI 78.8%-92.1%), respectively, for methamphetamine use. The most common non-methamphetamine psychostimulant in our cohort was khat, a cathinone-containing plant native to East Africa, accounting for psychostimulant-related diagnosis in 16 of the 220 hospitalizations.

conclusionsThe high predictive values of psychostimulant codes for methamphetamine use support the application of administrative data in measuring methamphetamine-related healthcare use, as well as co-morbid health conditions and treatment patterns.

Indexed as

International Classification of DiseasesMethamphetamineAdultDelivery of Health CareHumansPredictive Value of TestsRetrospective StudiesMethamphetamineAdministrative dataICD codesMethamphetaminePsychostimulants

Identifiers

PMID34134872
PMCPMC8217729
OpenAlexW3138305246

What OpenQuestion holds

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Registered trials

None linked

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.