Evidence map›Paper›PMID 32754780›Full record

ArticleJournal of general internal medicine2020

Medication Utilization for Alcohol Use Disorder in a Commercially Insured Population.

Haiden A Huskamp, Sharon Reif, Shelly F Greenfield, Sharon-Lise T Normand, Alisa B Busch

Abstract read
In one paragraph

Article in Journal of general internal medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Observational
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  10. Response to Letter to Editor from Drs. Barrett and Apodaca.Journal of general internal medicine · 2021
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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.

Haiden A HuskampDepartment of Health Care Policy, Harvard Medical School, 180 Longwood Avenue, Boston, MA, 02115, USA. huskamp@hcp.med.harvard.edu.ORCID 0000-0002-1860-3956
Sharon ReifHeller School for Social Policy and Management, Brandeis University, 415 South Street, Waltham, MA, 02453, USA.
Shelly F GreenfieldMcLean Hospital, 115 Mill Street, Belmont, MA, 02478, USA.
Sharon-Lise T NormandDepartment of Health Care Policy, Harvard Medical School, 180 Longwood Avenue, Boston, MA, 02115, USA.
Alisa B BuschDepartment of Health Care Policy, Harvard Medical School, 180 Longwood Avenue, Boston, MA, 02115, USA.

Funding

Research Support CoreP30DA035772 · NIDA · BRANDEIS UNIVERSITY · PI Haiden A Huskamp, SHARON REIF · 2015 to 2026
$11.3M
NIDA NIH HHS P30 DA035772
6 · The paper itself

Abstract

objectiveExamine patterns of alcohol use disorder (AUD) medication use and identify factors associated with prescription fill among commercially insured individuals with an index AUD visit.

designUsing 2008-2018 claims data from a large national insurer, estimate days to first AUD medication using cause-specific hazards approach to account for competing risk of benefits loss.

participantsAged 17-64 with ≥ 1 AUD visit. MAIN MEASURE: Days to AUD medication fill. KEY

resultsA total of 13.3% of the 151,128 with an index visit filled an AUD prescription after that visit, while 69.8% lost benefits before filling and 17.0% remained enrolled but did not fill (median days observed = 305). Almost half (46.3%) of those who filled a prescription received substance use disorder (SUD) inpatient care within 7 days before the fill, and 63.4% received SUD outpatient care. Likelihood of medication use was higher for those aged 26-35, 36-45, and 46-55 years relative to 56-64 years (e.g., 26-35: hazard ratio = 1.29 [95% confidence interval 1.23-1.36]); those diagnosed with moderate/severe AUD (2.05 [1.98-2.12]), co-occurring opioid use disorder (OUD) (1.33 [1.26-1.39]), or severe mental illness (1.31 [1.27-1.35]); those with a chronic alcohol-related diagnosis (1.08 [1.04-1.12]); and those whose index visit was in an inpatient/emergency department (1.27 [1.23-1.31]) or intermediate care setting (1.13 [1.07-1.20]) relative to outpatient. Likelihood of use was higher in later years relative to 2008 (e.g., 2018:2.02 [1.89-2.15]) and higher for those who received the majority of AUD care in a practice with a psychiatrist/addiction medicine specialist (1.13 [1.10-1.16]). Likelihood of use was lower for those diagnosed with a SUD other than AUD or OUD (0.88 [0.85-0.92]), those with an acute alcohol-related condition (0.79 [0.75-0.84]), and males (0.71 [0.69-0.73]).

conclusionsWhile AUD medication use increased and was more common among individuals with greater severity, few patients who could benefit from medications are using them. More efforts are needed to identify and treat individuals in non-acute care settings earlier in their course of AUD.

Indexed as

AlcoholismAlcohol-Related DisordersOpioid-Related DisordersAdolescentAdultHumansMaleMiddle AgedOutpatientsYoung Adultalcohol use disordermedicationsubstance use disorder

Identifiers

PMID32754780
PMCPMC7661665

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.