Evidence map›Paper›PMID 37367090›Full record

ArticleGeriatrics (Basel, Switzerland)2023

Awareness and Perceptions of "Age-Friendly": Analyzing Survey Results from Voices in the United States.

Lauren Dunning, Diane Ty, Priyanka Shah, Mac McDermott

Abstract read
In one paragraph

Article in Geriatrics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. 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

4 authors.

Lauren DunningCenter for the Future of Aging, Milken Institute, Santa Monica, CA 90401, USA.
Diane TyCenter for the Future of Aging, Milken Institute, Santa Monica, CA 90401, USA.
Priyanka ShahCenter for the Future of Aging, Milken Institute, Santa Monica, CA 90401, USA.
Mac McDermottCenter for the Future of Aging, Milken Institute, Santa Monica, CA 90401, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The term "age-friendly" is widely used to describe cities, communities, health systems, and other environments. However, little is known about how this is interpreted or what the term means to the public. To investigate the public's familiarity with the term and gain insights into its relevance to older adults, we utilized data generated by a survey of 1000+ adults aged 40 and above. We employed a 10-question survey, distributed online in the US from 8 to 17 March 2023 via a third-party vendor, that captured awareness and perceptions of age-friendly designations by exploring awareness of the term, contextual understanding, and influence on decision making. The resultant aggregate data was analyzed using Microsoft Excel and straightforward summary statistical analyses. The majority of respondents (81%) were aware of the term "age-friendly." Older adults (ages 65+) lagged in the self-described extreme or moderate level of awareness compared to adults aged 40-64. In the surveyed population, the term "age-friendly" was most often understood to apply to communities (57%), followed by health systems (41%) and cities (25%). Most people believed "age-friendly" refers to all ages, even though age-friendly health systems are designed to meet the unique needs of older adults. These survey results provide the age-friendly ecosystem field with insights into the awareness and perceptions of the term "age-friendly," highlighting opportunities to bolster understanding.

Indexed as

age-friendlyagingawarenesscommunitieshealth systemsperceptions

Identifiers

PMID37367090
PMCPMC10298521

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.