Evidence map›Paper›PMID 37099388›Full record

ArticleFamily medicine2023

Geriatrics Education: Phone Calls With Older Adults and Medical Students.

Nina Fukuma, Jo Marie Reilly

Open access · diamondAbstract read
In one paragraph

Article in Family medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. How Does Your Garden Grow?Family medicine · 2023
    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

2 authors at 1 institution in 1 country.

Nina FukumaKeck School of Medicine of University of Southern California, Los Angeles, CA.
Jo Marie ReillyKeck School of Medicine of University of Southern California, Los Angeles, CA.
University of Southern California · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesThe rapid increase in the older adult population necessitates an increase in physicians who are adept at caring for the various medical comorbidities that accompany aging. To fill the gap in geriatric medical education and overcome barriers to medical student interest in geriatrics, we developed a friendly caller program that links medical students to older adults through multiple weekly phone calls. This study examines the impact of this program on geriatric care competency, a foundational skill for primary care physicians, in first-year medical students.

methodsWe used a mixed-methods design to measure how medical students' self-assessed geriatric knowledge was impacted by their longitudinal interactions with seniors. We compared pre- and postsurvey data using a Mann-Whitney test. We used deductive qualitative analysis to examine themes that emerged from narrative feedback.

resultsOur results demonstrated that students (n=29) showed a statistically significant increase in components of their self-assessed geriatric care competency. Qualitative analysis of student responses revealed five common themes: transformation of preconceived notions regarding older adults, relationship building, greater understanding of older adults, communication skills, and self-compassion.

conclusionsGiven the shortage of physicians competent in geriatric care amid a rapidly growing older adult population, this study highlights a novel, older adult service-learning program that positively impacts geriatric knowledge in medical students.

Indexed as

Education, MedicalGeriatricsStudents, MedicalAgedClinical CompetenceCurriculumHumansLearning

Identifiers

PMID37099388
PMCPMC10622065
OpenAlexW4366332571

What OpenQuestion holds

Textmetadata
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.