Evidence map›Paper›PMID 41415248›Full record

Observational studyFrontiers in public health2025

Development and validation of a fall health literacy scale for Chinese hospitals from the perspective of older adults.

Tianxin Miao, Ke Chen, Dianli Han, Yingna Zhao, Liran Duan, Lan Zhang, Ying Yao

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In one paragraph

Observational study in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Tianxin MiaoTianjin Medical University General Hospital, Tianjin, China.
Ke ChenTianjin Medical University General Hospital, Tianjin, China.
Dianli HanDepartment of Emergency Medicine, General Hospital of Tianjin Medical University, Tianjin, China.
Yingna ZhaoDepartment of Emergency Medicine, General Hospital of Tianjin Medical University, Tianjin, China.
Liran DuanTianjin Medical University General Hospital, Tianjin, China.
Lan ZhangTianjin Medical University General Hospital, Tianjin, China.
Ying YaoTianjin Medical University General Hospital, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aim: Health literacy plays an important role in assessing patients' ability to receive information about falls and in educating patients about their health. Understanding the level of fall health literacy of hospitalized older adults is essential for implementing fall prevention interventions, but tools for assessing the fall health literacy of hospitalized older patients are lacking. The aim of this study was to develop and validate an instrument for assessing fall health literacy among hospitalized older adults in China. Methods: The Fall Health Literacy Scale for Hospitalized older adults was developed in two phases. In the first stage, dimensions and items were generated through a systematic literature review, semistructured interviews, and expert consultation. In the second phase, a cross-sectional study was conducted on 450 hospitalized older adults aged 60 years and above in two tertiary hospitals in Tianjin from March to July 2025 to test the reliability and validity of the items. Results: The scale comprises 30 items across five dimensions: cognition of fall information, transformation of fall information, implementation of fall information, knowledge of fall information, and personal attitudes and resource factors. This scale demonstrated excellent reliability, with a Cronbach's Conclusion: The scale has good reliability and validity and is a tool for evaluating fall health literacy from the perspective of older adults; additionally, it provides a new perspective for reducing the incidence of falls in China. Clinical trial registration: https://www.chictr.org.cn/showprojEN.html?proj=273509.

Indexed as

Accidental FallsHealth LiteracyAgedAged, 80 and overChinaCross-Sectional StudiesFemaleHospitalsHumansMaleMiddle AgedPsychometricsReproducibility of ResultsSurveys and Questionnairesfallshealth literacyhospitalizedolder adultspsychometricsscale

Identifiers

PMID41415248
PMCPMC12708289

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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.