Evidence map›Paper›PMID 39649011›Full record

ArticlePEC innovation2024

The effectiveness of integrating making every contact count into an undergraduate medical curriculum.

Robyn Fletcher, Alexander Hammant, Rebecca Symes, Andrew Turvey, Andy Ward, Ary Mahdzir, Bharathy Kumaravel

Abstract read
In one paragraph

Article in PEC innovation, 2024. 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
–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

1 citing paper in PubMed.

  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

7 authors.

Robyn FletcherLeicester Medical School, College of Life Sciences, University of Leicester, Leicester LE1 7RH, UK.
Alexander HammantLeicester Medical School, College of Life Sciences, University of Leicester, Leicester LE1 7RH, UK.
Rebecca SymesLeicester Medical School, College of Life Sciences, University of Leicester, Leicester LE1 7RH, UK.
Andrew TurveyLeicester Medical School, College of Life Sciences, University of Leicester, Leicester LE1 7RH, UK.
Andy WardThe Stoneygate Centre for Empathic Healthcare, Leicester Medical School, College of Life Sciences, University of Leicester, Leicester LE1 7RH, UK.
Ary MahdzirLeicester Medical School, College of Life Sciences, University of Leicester, Leicester LE1 7RH, UK.
Bharathy KumaravelLeicester Medical School, College of Life Sciences, University of Leicester, Leicester LE1 7RH, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To evaluate the feasibility and effectiveness of integrating Making Every Contact Count (MECC) using Healthy Conversation Skills (HCS) into an undergraduate medical curriculum and test the performance of an associated assessment. Methods: Concepts were introduced to second year students through lectures, small group seminars, role-plays and a new Objective Structured Clinical Examination (OSCE).station. Students' feedback was gathered and their examination performance was analysed. Results: MECC/HCS was integrated into the undergraduate medical curriculum at Leicester Medical School. Teaching had a positive impact on the students' self-reported confidence in carrying out MECC (7/10 to 9/10, Conclusion: It was feasible to integrate MECC/HCS into an undergraduate medical curriculum, with a positive impact on students' confidence. Innovation: In addition to teaching, this study describes the development and testing of OSCE stations to assess students' MECC skills in simulated clinical scenarios.

Indexed as

Healthy conversation skillsMedical educationPatient-centred carePrevention

Identifiers

PMID39649011
PMCPMC11625203

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.