Evidence map›Paper›PMID 36697930›Full record

ArticleJournal of general internal medicine2023

Opioid Overdose Risk Following Hospital Discharge Among Individuals Prescribed Long-Term Opioid Therapy: a Risk Interval Analysis.

Jennifer R Lyden, Stanley Xu, Komal J Narwaney, Jason M Glanz, Ingrid A Binswanger

Open access · bronzeAbstract read
In one paragraph

Article in Journal of general internal medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

3 citing papers in PubMed, 4 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

5 authors at 2 institutions in 1 country.

Jennifer R LydenDivision of Hospital Medicine, Department of Medicine, Denver Health, 777 Bannock Street, Denver, CO, 80204, USA. Jennifer.lyden@dhha.org.ORCID 0000-0001-8403-9815
Stanley XuResearch and Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA.
Komal J NarwaneyInstitute of Health Research, Kaiser Permanente Colorado, Denver, CO, USA.
Jason M GlanzInstitute of Health Research, Kaiser Permanente Colorado, Denver, CO, USA.
Ingrid A BinswangerInstitute of Health Research, Kaiser Permanente Colorado, Denver, CO, USA.
Kaiser Permanente · USUniversity of Colorado Hospital · US

Funding

Assessing the Safety and Effectiveness of Opioid Tapering in Large Health SystemsR01DA047537 · NIDA · KAISER FOUNDATION RESEARCH INSTITUTE · PI BINSWANGER, INGRID A, GLANZ, JASON M · 2019 to 2022
$2.6M
NIDA NIH HHS R01 DA047537
6 · The paper itself

Abstract

backgroundIndividuals prescribed long-term opioid therapy (LTOT) have increased risk of readmission and death after hospital discharge. The risk of opioid overdose during the immediate post-discharge time period is unknown.

objectiveTo examine the association between time since hospital discharge and opioid overdose among individuals prescribed LTOT.

designSelf-controlled risk interval analysis.

participantsAdults prescribed LTOT with at least one hospital discharge at a safety-net health system and a non-profit healthcare organization in Colorado. MAIN MEASURES: We identified individuals prescribed LTOT who were discharged from January 2006 through June 2019. The outcome was a composite of fatal and non-fatal opioid overdoses during a 90-day post-discharge observation period, identified using electronic health record (EHR) and vital statistics data. Risk intervals included days 0-6 after index and subsequent hospital discharges. Control intervals ranged from days 7 to 89 after index discharge and included all other time during the observation period that did not fall within a risk interval or time readmitted during a subsequent hospitalization, which was excluded. Poisson regression was used to estimate incidence rate ratios (IRR) and 95% confidence intervals (CI) for overdose events during risk in comparison to control intervals. KEY

resultsWe identified 7695 adults (63.3% over 55 years, 59.4% female, 20.3% Hispanic) who experienced 9499 total discharges during the study period. Twenty-one overdoses occurred during their observation periods (1174 per 100,000 person-years [9 in risk, 12 in control]). Overdose risk was significantly higher during the risk interval in comparison to the control interval (IRR 6.92; 95% CI 2.92-16.43).

conclusionDuring the first 7 days after hospital discharge, individuals prescribed LTOT appear to be at elevated risk for opioid overdose. Clarifying mechanisms of overdose risk may help inform in-hospital and post-discharge prevention strategies.

Indexed as

Drug OverdoseOpiate OverdoseAdultAftercareAnalgesics, OpioidFemaleHospitalsHumansMalePatient DischargeAnalgesics, OpioiddischargehospitalizationLTOTopioidoverdose

Identifiers

PMID36697930
PMCPMC9876414
OpenAlexW4318019497

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.