Evidence map›Paper›PMID 32206994›Full record

ArticleJournal of general internal medicine2020

A Typology of New Long-term Opioid Prescribing in the Veterans Health Administration.

Katherine Hadlandsmyth, Hilary J Mosher, Emine O Bayman, Justin G Wikle, Brian C Lund

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. 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

5 authors.

Katherine HadlandsmythCenter for Access and Delivery Research and Evaluation (CADRE), Iowa City VA Healthcare System, Iowa City, IA, USA. katherine-hadlandsmyth@uiowa.edu.ORCID 0000-0003-0513-4609
Hilary J MosherCenter for Access and Delivery Research and Evaluation (CADRE), Iowa City VA Healthcare System, Iowa City, IA, USA.
Emine O BaymanUniversity of Iowa, College of Public Health, Iowa City, IA, USA.
Justin G WikleDepartment of Anesthesia, Carver College of Medicine, University of Iowa, Iowa City, IA, USA.
Brian C LundCenter for Access and Delivery Research and Evaluation (CADRE), Iowa City VA Healthcare System, Iowa City, IA, USA.

Funding

HSRD VA CIN 13-412
6 · The paper itself

Abstract

backgroundNarrow definitions of long-term opioid (LTO) use result in limited knowledge of the full range of LTO prescribing patterns and the rates of these patterns.

objectiveTo investigate a model of new LTO prescribing typologies using latent class analysis.

designNational administrative data from the VA Corporate Data Warehouse were accessed using the VA Informatics and Computing Infrastructure. Characterization of the typology of initial LTO prescribing was explored using latent class analysis.

participantsVeterans initiating LTO during 2016 through the Veteran's Administration Healthcare System (N = 42,230). MAIN MEASURES: Opioid receipt as determined by VA prescription data, using the cabinet supply methodology. KEY

resultsOver one-quarter (27.7%) of the sample fell into the fragmented new long-term prescribing category, 39.8% were characterized by uniform daily new LTO, and the remaining 32.7% were characterized by uniform episodic LTO. Each of these three broad sub-groups also included two additional sub-groups (6 classes total in the model), characterized by the presence or absence of prior opioid prescriptions.

conclusionsNew LTO prescribing in the VA includes uniform daily prescribing, uniform episodic prescribing, and fragmented prescribing. Future work is needed to elucidate the safety and efficacy of these prescribing patterns.

Indexed as

Analgesics, OpioidVeteransDrug PrescriptionsHumansPractice Patterns, Physicians'Retrospective StudiesUnited StatesUnited States Department of Veterans AffairsVeterans HealthAnalgesics, Opioidincidencelong-term opioidveteran

Identifiers

PMID32206994
PMCPMC7458960

What OpenQuestion holds

Textmetadata
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.