Evidence map›Paper›PMID 36419195›Full record

ArticleImplementation science : IS2022

Assessing the impact of a national clinical guideline for the management of chronic pain on opioid prescribing rates: a controlled interrupted time series analysis.

Harry L Hébert, Daniel R Morales, Nicola Torrance, Blair H Smith, Lesley A Colvin

Open access · goldAbstract read
In one paragraph

Article in Implementation science : IS, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 23% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
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  3. Review
  4. Article
  5. Article
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  7. 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 2 institutions in 1 country.

Harry L HébertDivision of Population Health and Genomics, School of Medicine, Ninewells Hospital and Medical School, University of Dundee, Mackenzie Building, Kirsty Semple Way, Dundee, DD2 4BF, UK. h.hebert@dundee.ac.uk.ORCID 0000-0003-1753-6592
Daniel R MoralesDivision of Population Health and Genomics, School of Medicine, Ninewells Hospital and Medical School, University of Dundee, Mackenzie Building, Kirsty Semple Way, Dundee, DD2 4BF, UK.
Nicola TorranceSchool of Nursing, Midwifery & Paramedic Practice, Robert Gordon University, Aberdeen, UK.
Blair H Smith *Division of Population Health and Genomics, School of Medicine, Ninewells Hospital and Medical School, University of Dundee, Mackenzie Building, Kirsty Semple Way, Dundee, DD2 4BF, UK.
Lesley A Colvin *Division of Population Health and Genomics, School of Medicine, Ninewells Hospital and Medical School, University of Dundee, Mackenzie Building, Kirsty Semple Way, Dundee, DD2 4BF, UK.
University of Dundee · GBRobert Gordon University · GB

Funding

Medical Research Council MR/W002388/1Wellcome Trust 214588/Z/18/Z
6 · The paper itself

Abstract

backgroundOpioids can be effective analgesics, but long-term use may be associated with harms. In 2013, the first national, comprehensive, evidence-based pain management guideline was published, from the Scottish Intercollegiate Guideline Network (SIGN 136: Management of Chronic Pain) with key recommendations on analgesic prescribing. This study aimed to examine the potential impact on national opioid prescribing rates in Scotland.

methodsTrends in national and regional community opioid prescribing data for Scotland were analysed from quarter one (Q1) 2005 to Q2 2020. Interrupted time series regression examined the association of SIGN 136 publication with prescribing rates for opioid-containing drugs. Gabapentinoid prescribing was used as a comparison drug.

resultsAfter a positive prescribing trend pre-publication, the timing of SIGN 136 publication was associated with a negative change in the trend of opioid prescribing rates (-2.82 items per 1000 population per quarter [PTPPQ]; P < 0.01). By Q2 2020, the relative reduction in the opioid prescribing rate was -20.67% (95% CI: -23.61, -17.76). This persisted after correcting for gabapentinoid prescribing and was mainly driven by the reduction in weak opioids, whereas strong opioid prescribing rates continued to rise. Gabapentinoid prescribing showed a significant rise in level (8.00 items per 1000 population; P = 0.01) and trend (0.27 items PTPPQ; P = 0.01) following SIGN 136 publication.

conclusionsThe publication of SIGN 136 was associated with a reduction in opioid prescribing rates. This suggests that changes in clinical policy through evidence-based national clinical guidelines may affect community opioid prescribing, though this may be partially replaced by gabapentinoids, and other factors may also contribute.

Indexed as

Analgesics, OpioidChronic PainAnalgesicsHumansInterrupted Time Series AnalysisPractice Patterns, Physicians'AnalgesicsAnalgesics, OpioidChronic painClinical guidelineInterrupted time series analysisOpioidsPrescribing rates

Identifiers

PMID36419195
PMCPMC9682704
OpenAlexW4309837902

What OpenQuestion holds

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LicenceCC BY
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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.