Evidence map›Paper›PMID 30202635›Full record

ArticleJournal of European CME2018

Improving outcomes in the treatment of opioid dependence (IOTOD): reflections on the impact of a medical education initiative on healthcare professionals' attitudes and clinical practice.

Sarah Webster, Sarah Robinson, Robert Ali, John Marsden

Abstract read
In one paragraph

Article in Journal of European CME, 2018. 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

4 authors.

Sarah WebsterPCM Scientific, London, UK.
Sarah RobinsonPCM Scientific, London, UK.
Robert AliDiscipline of Pharmacology, School of Medicine, Medical School N511b, University of Adelaide, Adelaide, South Australia, Australia.
John MarsdenInstitute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since 2011, the annual improving outcomes in the treatment of opioid dependence (IOTOD) meeting has brought together a broad range of primarily European healthcare professionals as part of an ongoing effort to promote best practice for this particularly vulnerable patient population. IOTOD, a comprehensive educational initiative, includes the annual Continuing Medical Education (CME)-accredited IOTOD conference, which is dedicated to measuring practice change and outcomes resulting from attendance at its educational sessions. Following each session, delegates are asked to vote for or against incorporating specified changes into their clinical practice. These "commitments to change" have formed one measure of the effectiveness and impact of the IOTOD conference. Here, we look at why educational initiatives like the IOTOD conference are valuable, examine our methods for conducting a CME-accredited event, and highlight individualised treatment plans and delivery. We examine this approach - increasingly seen as best practice - as an example of how it may be changing attitudes and eventually affecting clinical applications in the field of opioid dependence. The measured commitments to change offer insight into HCPs' attitudes towards opioid dependence management and show that attitudes towards individualised treatment plans seem to be progressively positive, with a general consensus to incorporate psychosocial interventions.

Indexed as

buprenorphinecontinuing medical educationIOTODMedical educationmethadoneopioid agonist treatmentopioid dependenceopioidsopioid use disorder

Identifiers

PMID30202635
PMCPMC6127803

What OpenQuestion holds

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LicenceCC BY-NC
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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.