Evidence map›Paper›PMID 36825210›Full record

ArticleAsia-Pacific journal of oncology nursing2023

Translation and validation: standard Chinese version of the skin tear knowledge assessment instrument (OASES).

Baojia Luo, Jianying Liu, Weicong Chen, Yonglan Ge, Lei Huang, Zhongying Huang

Open access · goldAbstract read
In one paragraph

Article in Asia-Pacific journal of oncology nursing, 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
1.4field-weighted citation impact, top 19% 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, 5 citations in OpenAlex.

  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

6 authors at 1 institution in 1 country.

Baojia LuoDepartment of Colorectal Surgery, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
Jianying LiuDepartment of Colorectal Surgery, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
Weicong ChenSchool of Nursing, Sun Yat-sen University, Guangzhou, China.
Yonglan GeDepartment of Colorectal Surgery, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
Lei HuangDepartment of Rheumatology and Immunology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Zhongying HuangNursing Department of Huangpu Yard, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Skin tears (STs) are acute cutaneous trauma and have become an increasingly common global health problem. International studies have shown barriers to the prevention and management of ST and the relevance of the role of nurses in implementation. The purpose of this study was to adapt an existing tool to measure nurses' knowledge of the prevention, assessment, and management of STs. Methods: Skin tear knowledge assessment instrument (OASES) is a knowledge survey tool for skin lacerations developed by Van Tiggelen et al. in 2020. The standard Chinese version of OASES was formed by translating and cross-cultural adaption of source tools following Brislin's translation model, and content validity and translation quality were determined by Delphi method. A psychometric assessment of 341 nurses was then performed to assess item difficulty, discrimination, and quality of response selection in the standard Chinese version of OASES. In addition, construct validity was established by test-retest procedures and known-group techniques. Results: The standard Chinese version had good content validity and moderate difficulty. It was found that the discrimination was very good: all groups with higher professional level (theoretically expected) scored significantly higher than those with lower professional level (theoretically expected). The stability of the tool was sufficient. Conclusions: The standard Chinese version of OASES exhibits good psychometric properties and can be used and disseminated to nurses in a Chinese cultural context to assess knowledge about STs. However, it should be noted that the tool was only validated with nurses in cancer hospitals.

Indexed as

Cultural adaptationKnowledgeNursingPsychometricsReliabilitySkin tearValidity

Identifiers

PMID36825210
PMCPMC9941871
OpenAlexW4313594782

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.