Evidence map›Paper›PMID 39569288›Full record

ArticleCureus2024

Bridging the Gap: A Pilot Study of a Health Care Transition Podcast Curriculum and Standardized Patient Case for Graduate Medical Education Trainees.

Colby D Feeney, Rebecca E Sadun, Alison Manning, Jane V Trinh

Abstract read
In one paragraph

Article in Cureus, 2024. 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.

Colby D FeeneyDepartment of Medicine, Duke University School of Medicine, Durham, USA.
Rebecca E SadunDepartment of Medicine, Duke University School of Medicine, Durham, USA.
Alison ManningDepartment of Psychiatry and Human Behavior, The Warren Alpert Medical School of Brown University, Providence, USA.
Jane V TrinhDepartment of Medicine, Duke University School of Medicine, Durham, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction Pediatric to adult health care transition (HCT) is critical to maintaining the health and wellness of patients, and pediatric and adult providers often do not feel prepared to shepherd patients through this process. Methods  We designed an HCT curriculum consisting of nine podcasts paired with existing ambulatory experiential learning opportunities for internal medicine-pediatric residents (n=6). Before and after the curriculum we evaluated resident HCT self-assessment and resident performance working with a standardized patient (SP) and standardized parent in a novel objective structured clinical examination (OSCE) station designed to assess HCT skills. Results Residents improved in all HCT self-assessment goals (Likert 1-5; average score increasing from 2.4 to 3.93; p= 0.0002) and in their overall OSCE performance (Likert 1-5; average score increasing from 2.6 to 4.1; p=0.002). Conclusion By combining portable didactic educational materials with intentional experiential learning opportunities, the HCT curriculum herein described improved residents' knowledge and skills related to helping adolescent and young adult patients through HCT. This curriculum could be easily adapted for implementation at other institutions and across disciplines. In addition, we offer a standardized patient case for use in assessing HCT skills.

Indexed as

adolescent and young adultscurriculum development and evaluationhealth care transitionsmed-pedsobjective structured clinical examination (osce)residency curriculum

Identifiers

PMID39569288
PMCPMC11577970

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.