Evidence map›Paper›PMID 38163202›Full record

ArticleHeliyon2024

Development and psychometric properties of the age-friendly hospitals scale in older adults.

Tse-Tsung Liu, Su-Jung Liao, Lou-Ching Kuo, Shu-Mei Chao

Abstract read
In one paragraph

Article in Heliyon, 2024. 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
–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

2 citing papers in PubMed.

  1. Article
  2. 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.

Tse-Tsung LiuDepartment of Family Physician and Geriatrician, Mennonite Christian Hospital, Hualien city, Taiwan.
Su-Jung LiaoDepartment of Nursing, College of Nursing, Tzu Chi University of Science and Technology, Hualien, Taiwan.
Lou-Ching KuoDepartment of Nursing, College of Nursing, Tzu Chi University of Science and Technology, Hualien, Taiwan.
Shu-Mei ChaoDepartment of Nursing, College of Nursing, Tzu Chi University of Science and Technology, Hualien, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Age-friendly Primary Health Care by the World Health Organization (WHO) provided a framework to guide countries in developing concrete and appropriate care in the health system, including encouraging the development of an Age-Friendly Hospital (AFH) care network. The study aimed to develop and evaluate the psychometric properties of the AFH scale (AFHS) in older adults. A cross-sectional study collected and analyzed data from 330 older adults between June 2018 and June 2019. The instrument was developed and validated according to the proposed guidelines. The study involved item generation and scale development, including content and face validity, pilot testing, exploratory factor analysis (EFA), internal consistency, and test-retest reliability. EFA was performed using principal axis factoring with a promax rotation. The original model of four factors and 22 items was conducted. Three factors with eigenvalues greater than one were extracted, and the scree plot examination confirmed the retention of three factors with 22 items after performing EFA. Using the EFA, we identified three main factors: care processes, communication and service, and physical environment. The developed scale can contribute to establishing AFH and quality healthcare institutions. It may be a valuable reference for healthcare facilities to evaluate and enhance their services, considering factors like limited resources and workforce. Furthermore, this scale can facilitate continuous improvement and long-term development of age-friendly healthcare institutions.

Indexed as

Age-friendly hospitalsExploratory factor analysisOlder adultsScale

Identifiers

PMID38163202
PMCPMC10755327

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.