Evidence map›Paper›PMID 35018644›Full record

ArticleBritish journal of clinical pharmacology2022

Determinants of long-term opioid prescribing in an urban population: A cross-sectional study.

Michael Naughton, Patrick Redmond, Stevo Durbaba, Mark Ashworth, Mariam Molokhia

Open access · bronzeAbstract read
In one paragraph

Article in British journal of clinical pharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

5 authors at 1 institution in 1 country.

Michael NaughtonDepartment of Population Health Sciences, King's College London, UK.ORCID 0000-0002-9777-2095
Patrick RedmondDepartment of Population Health Sciences, King's College London, UK.
Stevo DurbabaDepartment of Population Health Sciences, King's College London, UK.
Mark AshworthDepartment of Population Health Sciences, King's College London, UK.
Mariam MolokhiaDepartment of Population Health Sciences, King's College London, UK.
King's College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOpioid prescribing has more than doubled in the UK between 1998 and 2016. Potential adverse health implications include dependency, falls and increased health expenditure.

aimTo describe the predictors of long-term opioid prescribing (LTOP) (≥3 opioid prescriptions in a 90-day period). DESIGN AND

settingA retrospective cross-sectional study in 41 general practices in South London.

methodMulti-level multivariable logistic regression to investigate the determinants of LTOP.

resultsOut of 320 639 registered patients ≥18 years, 2679 (0.8%) were identified as having LTOP. Patients were most likely to have LTOP if they had ≥5 long-term conditions (LTCs) (adjusted odds ratio [AOR] 36.5, 95% confidence interval [CI] 30.4-43.8) or 2-4 LTCs (AOR 13.8, CI 11.9-16.1) in comparison to no LTCs, were ≥75 years compared to 18-24 years (AOR 12.31, CI 7.1-21.5), were smokers compared to nonsmokers (AOR 2.2, CI 2.0-2.5), were female rather than male (AOR 1.9, CI 1.7-2.0) and in the most deprived deprivation quintile (AOR 1.6, CI 1.4-1.8) compared to the least deprived. In a separate model examining individual LTCs, the strongest associations for LTOP were noted for sickle cell disease (SCD) (AOR 18.4, CI 12.8-26.4), osteoarthritis (AOR 3.0, CI 2.8-3.3), rheumatoid arthritis (AOR 2.8, CI 2.2-3.4), depression (AOR 2.6, CI 2.3-2.8) and multiple sclerosis (OR 2.5, CI 1.4-4.4).

conclusionLTOP was significantly higher in those aged ≥75 years, with multimorbidity or specific LTCs: SCD, osteoarthritis, rheumatoid arthritis, depression and multiple sclerosis. These characteristics may enable the design of targeted interventions to reduce LTOP.

Indexed as

Arthritis, RheumatoidMultiple SclerosisOsteoarthritisAnalgesics, OpioidCross-Sectional StudiesFemaleHumansMalePractice Patterns, Physicians'Retrospective StudiesUrban PopulationAnalgesics, Opioidanalgesicchronic diseaseinappropriate prescribingmultimorbidityopioidprimary health carerisk factors

Identifiers

PMID35018644
PMCPMC9305420
OpenAlexW4206757614

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.