Evidence map›Paper›PMID 31207646›Full record

ArticleAnnals of internal medicine2019

Patterns of Opioid Administration Among Opioid-Naive Inpatients and Associations With Postdischarge Opioid Use: A Cohort Study.

Julie M Donohue, Jason N Kennedy, Christopher W Seymour, Timothy D Girard, Wei-Hsuan Lo-Ciganic, Catherine H Kim, Oscar C Marroquin, Patience Moyo, Chung-Chou H Chang, Derek C Angus

Abstract read
In one paragraph

Article in Annals of internal medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
11.1field-weighted citation impact, top 1% 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

27 citing papers in PubMed, 73 citations in OpenAlex.

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  15. Nurses' Perspectives on Postpartum Pain Management.Women's health reports (New Rochelle, N.Y.) · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 1 country.

Julie M DonohueUniversity of Pittsburgh Graduate School of Public Health, Pittsburgh, Pennsylvania (J.M.D.).
Jason N KennedyUniversity of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania (J.N.K., C.W.S., T.D.G., O.C.M., D.C.A.).
Christopher W SeymourUniversity of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania (J.N.K., C.W.S., T.D.G., O.C.M., D.C.A.).
Timothy D GirardUniversity of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania (J.N.K., C.W.S., T.D.G., O.C.M., D.C.A.).
Wei-Hsuan Lo-CiganicCollege of Pharmacy, University of Florida, Gainesville, Florida (W.L.).
Catherine H KimUPMC Presbyterian Hospital, Pittsburgh, Pennsylvania (C.H.K.).
Oscar C MarroquinUniversity of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania (J.N.K., C.W.S., T.D.G., O.C.M., D.C.A.).
Patience MoyoBrown University School of Public Health, Providence, Rhode Island (P.M.).
Chung-Chou H ChangUniversity of Pittsburgh School of Medicine and University of Pittsburgh Graduate School of Public Health, Pittsburgh, Pennsylvania (C.H.C.).
Derek C AngusUniversity of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania (J.N.K., C.W.S., T.D.G., O.C.M., D.C.A.).
University of Pittsburgh · USBrown University · USPresbyterian Hospital · USUniversity of Florida · US

Funding

Sepsis subtypes: biology, treatment, and bedside applicationR35GM119519 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Christopher W. Seymour · 2016 to 2026
$4.9M
NIGMS NIH HHS R35 GM119519
6 · The paper itself

Abstract

Background: Patterns of inpatient opioid use and their associations with postdischarge opioid use are poorly understood. Objective: To measure patterns in timing, duration, and setting of opioid administration in opioid-naive hospitalized patients and to examine associations with postdischarge use. Design: Retrospective cohort study using electronic health record data from 2010 to 2014. Setting: 12 community and academic hospitals in Pennsylvania. Patients: 148 068 opioid-naive patients (191 249 admissions) with at least 1 outpatient encounter within 12 months before and after admission. Measurements: Number of days and patterns of inpatient opioid use; any outpatient use (self-report and/or prescription orders) 90 and 365 days after discharge. Results: Opioids were administered in 48% of admissions. Patients were given opioids for a mean of 67.9% (SD, 25.0%) of their stay. Location of administration of first opioid on admission, timing of last opioid before discharge, and receipt of nonopioid analgesics varied substantially. After adjustment for potential confounders, 5.9% of inpatients receiving opioids had outpatient use at 90 days compared with 3.0% of those without inpatient use (difference, 3.0 percentage points [95% CI, 2.8 to 3.2 percentage points]). Opioid use at 90 days was higher in inpatients receiving opioids less than 12 hours before discharge than in those with at least 24 opioid-free hours before discharge (7.5% vs. 3.9%; difference, 3.6 percentage points [CI, 3.3 to 3.9 percentage points]). Differences based on proportion of the stay with opioid use were modest (opioid use at 90 days was 6.4% and 5.4%, respectively, for patients with opioid use for ≥75% vs. ≤25% of their stay; difference, 1.0 percentage point [CI, 0.4 to 1.5 percentage points]). Associations were similar for opioid use 365 days after discharge. Limitation: Potential unmeasured confounders related to opioid use. Conclusion: This study found high rates of opioid administration to opioid-naive inpatients and associations between specific patterns of inpatient use and risk for long-term use after discharge. Primary Funding Source: UPMC Health System and University of Pittsburgh.

Indexed as

InpatientsAdolescentAdultAgedAnalgesics, OpioidFemaleHumansMaleMiddle AgedOpioid-Related DisordersPennsylvaniaPractice Patterns, Physicians'Retrospective StudiesRisk FactorsAnalgesics, Opioid

Identifiers

PMID31207646
PMCPMC6815349
OpenAlexW2949231968

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.