Evidence map›Paper›PMID 31591644›Full record

ArticlePain medicine (Malden, Mass.)2020

Development of a Brief Patient-Administered Screening Tool for Prescription Opioid Dependence for Primary Care Settings.

Suzanne Nielsen, Louisa Picco, Gabrielle Campbell, Nicholas Lintzeris, Briony Larance, Michael Farrell, Louisa Degenhardt, Raimondo Bruno

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Pain medicine (Malden, Mass.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Algorithms to Identify Nonmedical Opioid Use.Current pain and headache reports · 2023
    Review
  4. Article
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

8 authors.

Suzanne NielsenNational Drug and Alcohol Research Centre, University of New South Wales Sydney, Sydney, New South Wales, Australia.
Louisa PiccoMonash Addiction Research Centre, Monash University Peninsula Campus, Frankston, Victoria, Australia.
Gabrielle CampbellNational Drug and Alcohol Research Centre, University of New South Wales Sydney, Sydney, New South Wales, Australia.
Nicholas LintzerisDiscipline of Addiction Medicine, University of Sydney, Sydney, New South Wales, Australia.
Briony LaranceNational Drug and Alcohol Research Centre, University of New South Wales Sydney, Sydney, New South Wales, Australia.
Michael FarrellNational Drug and Alcohol Research Centre, University of New South Wales Sydney, Sydney, New South Wales, Australia.
Louisa DegenhardtNational Drug and Alcohol Research Centre, University of New South Wales Sydney, Sydney, New South Wales, Australia.
Raimondo BrunoSchool of Medicine, University of Tasmania, Hobart, Tasmania, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo develop a short, patient-administered screening tool that will allow for earlier assessment of prescription opioid dependence (often referred to as addiction) in primary care settings. DESIGN AND

settingCross-sectional analysis (N = 1,134) from the two-year time point of the Pain and Opioids IN Treatment (POINT) cohort was used in the scale development. SUBJECTS: Participants who completed two-year interviews in the POINT study, a prospective cohort study that followed people with chronic noncancer pain over a five-year period, and who were prescribed strong opioids for a minimum of six weeks at baseline.

methodsAn advisory committee provided advice on wording and content for screening in primary care settings. Univariate logistic regression identified individual items that were significantly associated with meeting ICD-11 criteria for prescription opioid dependence. Exploratory and confirmatory factor analysis (EFA and CFA) were conducted, and items were reduced to identify a small item set that were discriminative and shared a simple underlying structure.

resultsSixty-four variables associated with ICD-11 criteria for prescription opioid dependence were initially identified. Four rounds of EFA were performed, resulting in five items remaining. CFA identified two possible four-item combinations, with the final combination chosen based on greater item endorsement and the results of goodness-of-fit indices.

conclusionsAddressing prescription opioid dependence is an important part of the global public health challenge surrounding rising opioid-related harm. This study addresses an important initial requisite step to develop a brief screening tool. Further studies are required to validate the tool in clinical settings.

Indexed as

Surveys and QuestionnairesAnalgesics, OpioidChronic PainCross-Sectional StudiesHumansMass ScreeningOpioid-Related DisordersPatient Reported Outcome MeasuresPrimary Health CareAnalgesics, OpioidChronic PainOpioid DependenceOpioid Use DisorderScreening

Identifiers

PMID31591644
PMCPMC8204889

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.