Evidence map›Paper›PMID 37458186›Full record

ArticleNursing open2023

Refining and psychometric evaluation of the falling risk assessment tool in ophthalmology inpatients.

Muling Li, Chunmei Li, Qinghui Huang, Hongzhen Zhou, Ling Xie, Fangni Chen, Shaoqin Lin, Juan Yang

Open access · goldAbstract read
In one paragraph

Article in Nursing open, 2023. 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
0.7field-weighted citation impact, top 28% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
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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

8 authors at 1 institution in 1 country.

Muling LiDepartment of Ophthalmology, Nanfang Hospital, Southern Medical University, Guangzhou, China.ORCID 0000-0003-1005-1357
Chunmei LiDepartment of Ophthalmology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Qinghui HuangDepartment of Ophthalmology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Hongzhen ZhouDepartment of Nursing, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Ling XieDepartment of Ophthalmology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Fangni ChenDepartment of Ophthalmology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Shaoqin LinDepartment of Ophthalmology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Juan YangDepartment of Ophthalmology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Nanfang Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThe aim of this study was to refine the Falling Risk Assessment Tool in Ophthalmology Inpatients (FRAT) and assess its psychometric properties.

designA cross-sectional design was used.

methodsA convenience sample of 730 patients in the ophthalmology department was recruited in a level A tertiary hospital in Guangdong Province from July 2021 to January 2022. Data were analysed using item analysis, interrater reliability, content validation, internal consistency reliability and exploratory factor analysis.

resultsFive factors were extracted, accounting for 63.039% of the variance. The interrater reliability of the tool was 0.97. Cronbach's α was 0.658. The I-CVI was 0.75-1.00, the S-CVI/UA was 0.95 and the adjusted mean values of Kappa for indicators ranged from 0.72 to 1.00, as evaluated by the expert group. The FRAT showed satisfactory reliability and validity, and can be used to measure the fall risk assessment in ophthalmology inpatients. PATIENT OR PUBLIC CONTRIBUTION: After explaining the purpose, the patients received our fall risk assessment and answered the corresponding questionnaire questions.

Indexed as

InpatientsOphthalmologyCross-Sectional StudiesHumansPsychometricsReproducibility of ResultsRisk Assessmentfallsinstrument developmentophthalmology inpatientsreliabilityrisk assessmentvalidity

Identifiers

PMID37458186
PMCPMC10495720
OpenAlexW4384559043

What OpenQuestion holds

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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.