Evidence map›Paper›PMID 37140410›Full record

ReviewJournal of addictions nursing

Prescription Opioid Misuse in Older Adult Surgical Patients: Epidemiology, Prevention, and Clinical Implications.

Chin Hwa Dahlem, Ty S Schepis, Sean Esteban McCabe, Aaron L Rank, Luisa Kcomt, Vita V McCabe, Terri Voepel-Lewis

Abstract readReview
In one paragraph

Review in Journal of addictions nursing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Sean Esteban McCabeORCID 0000-0002-9622-4652
Aaron L Rank
Terri Voepel-LewisORCID 0000-0001-9718-9695

Funding

Trajectories of Prescription Nonmedical Drug MisuseR01DA031160 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SEAN ESTEBAN MCCABE · 2011 to 2026
$3.7M
Scenario-tailored opioid messaging program: An interactive intervention to prevent analgesic-related adverse drugs events in children and adolescentsR01DA044245 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI VOEPEL-LEWIS, TERRI DIANE · 2017 to 2019
$2.1M
Nonmedical prescription drug misuse among US older adults: subtypes,motives, and diversion sourcesR01DA042146 · NIDA · TEXAS STATE UNIVERSITY · PI SCHEPIS, TY STEPHEN · 2017 to 2021
$548k
NIDA NIH HHS R01 DA031160NIDA NIH HHS R01 DA042146NIDA NIH HHS R01 DA044245
6 · The paper itself

Abstract

abstractThe United States and many other developed nations are in the midst of an opioid crisis, with consequent pressure on prescribers to limit opioid prescribing and reduce prescription opioid misuse. This review addresses prescription opioid misuse for older adult surgical populations. We outline the epidemiology and risk factors for persistent opioid use and misuse in older adults undergoing surgery. We also address screening tools and prescription opioid misuse prevention among vulnerable older adult surgical patients (e.g., older adults with a history of an opioid use disorder), followed by clinical management and patient education recommendations. A significant plurality of older adults engaged in prescription opioid misuse obtain opioid medication for misuse from health providers. Thus, nurses can play a critical role in identifying those older adults at a higher risk for misuse and deliver quality care while balancing the need for adequate pain management against the risk for prescription opioid misuse.

Indexed as

Opioid-Related DisordersPrescription Drug MisuseAgedAnalgesics, OpioidHumansPain ManagementPractice Patterns, Physicians'United StatesAnalgesics, Opioid

Identifiers

PMID37140410
PMCPMC10162467

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.