Evidence map›Paper›PMID 37815896›Full record

ArticleAging and disease2024

Literacy for Frailty among Undergraduate Medical Education: An Under-Recognized Opportunity to Improve Geriatric Care.

Chia-Ter Chao

Open access · goldAbstract read
In one paragraph

Article in Aging and disease, 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
0.2field-weighted citation impact, top 48% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  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

1 author at 1 institution in 1 country.

Chia-Ter ChaoNephrology division, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.
National Taiwan University Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Our society is aging much faster than it was before, and this phenomenon demands concerted action to optimize geriatric care. Presentations, clinical features, and management decision making are distinct between older adults and the general population, and to enhance care quality, there remains unmet needs for undergraduate geriatric education. Among all geriatric syndromes that clinically matter, frailty is particularly instrumental, serving as the overarching phenotype that connects other geriatric conditions and predisposes individuals to adverse outcomes. However, understandings for frailty, or "literacy for frailty" is often poor among healthcare professionals, and misidentification, terminology confusion, and uncertainty surrounding the care of frail older adults, are not uncommon. This lack of frailty literacy undoubtedly contributes to the suboptimal geriatric care patients receive. We therefore propose a rationally designed, concise, and structured program for eliciting medical students' motivation for understanding frailty during their undergraduate period. Our increasing-frailty-literacy program includes 7 modules, accommodating the terminology, integrative pathogenesis, epidemiology of frailty, appropriate screening and identification tool selection, prognostication and patient communication, and individualization of treatment strategies. In combination with digital technologies and hands-on practice opportunities, we believe that our curriculum can promote medical students' learning efficacy for frailty and improve geriatric care for the current generation.

Indexed as

Education, Medical, UndergraduateFrailtyGeriatricsAgedCurriculumFrail ElderlyHealth LiteracyHumansStudents, Medical

Identifiers

PMID37815896
PMCPMC11272203
OpenAlexW4387467526

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.