Evidence map›Paper›PMID 36969483›Full record

ArticleJournal of CME2023

Evaluating the Impact of Continuing Medical Education in the Interdisciplinary Team: A Novel, Targeted Approach.

Billy Jenkins, Katrina Lester, Alex Nobel, Helen Such, Barbara Yawn, Alison Scott

Abstract read
In one paragraph

Article in Journal of CME, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Trial
  2. Article
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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

6 authors.

Billy JenkinsTouch Independent Medical Education Ltd, Cheshire, UK.
Katrina LesterTouch Independent Medical Education Ltd, Cheshire, UK.
Alex NobelTouch Independent Medical Education Ltd, Cheshire, UK.
Helen SuchTouch Independent Medical Education Ltd, Cheshire, UK.
Barbara YawnDepartment of Family and Community Health, University of Minnesota, Minneapolis, Mn, USA.
Alison ScottTouch Independent Medical Education Ltd, Cheshire, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In order to maximise the learning potential of medical education programmes aimed at interdisciplinary or multidisciplinary teams, it is important to understand how the effectiveness of these programmes can vary between healthcare professionals from different specialities. Measuring the impact of educational activities between specialities may facilitate the development of future interdisciplinary and multidisciplinary education programmes, yielding enhanced learner outcomes and, ultimately, improving outcomes for patients. In this analysis, we report on a new approach to measuring change in knowledge and competence among learners from different physician specialities. We did this by tailoring post-activity competency assessments to three specialities - primary care physicians, pulmonologists and immunologists caring for patients with severe asthma. Our findings revealed that primary care physicians had markedly improved knowledge, measured using assessment questions, compared with the other specialities after completing the activity. We also report on differences between these specialities in intention to change clinical practice, confidence in clinical practice, and remaining educational gaps. Understanding how different members of the interdisciplinary team have benefited from an educational activity is essential for designing future educational activities and targeting resources.

Indexed as

assessmentCMEeducational outcomesinterdisciplinary teammultidisciplinaryonline education

Identifiers

PMID36969483
PMCPMC10031772

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.