Evidence map›Paper›PMID 31247952›Full record

ReviewGeriatrics (Basel, Switzerland)2019

Geriatric Assessment in Multicultural Immigrant Populations.

Katherine T Ward, Mailee Hess, Shirley Wu

Abstract readReview
In one paragraph

Review in Geriatrics (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

3 authors.

Katherine T WardSection of Geriatrics, Division of General Internal Medicine, Department of Medicine, Harbor-UCLA Medical Center, Torrance, CA 90509, USA. kward@dhs.lacounty.gov.
Mailee HessSection of Geriatrics, Division of General Internal Medicine, Department of Medicine, Harbor-UCLA Medical Center, Torrance, CA 90509, USA.
Shirley WuSection of Geriatrics, Division of General Internal Medicine, Department of Medicine, Harbor-UCLA Medical Center, Torrance, CA 90509, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While the traditional comprehensive geriatric assessment provides valuable information essential to caring for older adults, it often falls short in multicultural immigrant populations. The number of foreign-born older adults is growing, and in some regions of the United States of America (U.S.), they encompass a significant portion of the older adult population. To ensure we are caring for this culturally diverse population adequately, we need to develop a more culturally competent comprehensive geriatric assessment. In this review, we explore ways in which to do this, address areas unique to multicultural immigrant populations, and identify limitations of the current assessment tools when applied to these populations. In order to be more culturally sensitive, we should incorporate the concepts of ethnogeriatrics into a comprehensive geriatric assessment, by addressing topics like healthcare disparities, language barriers, health literacy, acculturation level, and culturally defined beliefs. Additionally, we must be sensitive to the limitations of our current assessment tools and consider how we can expand our assessment toolkit to address these limitations. We discuss the limitations in cognitive screening tests, delirium assessments, functional and mental health assessments, advance care planning, and elder abuse.

Indexed as

ethnogeriatricsgeriatric assessmentimmigrantmulticulturalsocial determinants

Identifiers

PMID31247952
PMCPMC6787672

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.