Evidence map›Paper›PMID 25419395›Full record

ArticleInternational journal of clinical and experimental medicine2014

Reliability and validity of the Chinese version of reporting of clinical adverse events scale (C-RoCAES).

Xiao Sun, Yan Shi, Shuying Zhang, Meimei Tian, Yafen Mao, Qian Wu, Xiaoping Zhu, Meifang Gong

Abstract read
In one paragraph

Article in International journal of clinical and experimental medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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

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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.

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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.

Xiao SunDepartment of Nursing, Tenth People's Hospital, Tongji University Shanghai, China.
Yan ShiDepartment of Nursing, Tenth People's Hospital, Tongji University Shanghai, China ; Shanghai Nursing Quality Control Centre Shanghai, China.
Shuying ZhangTongji University School of Medicine Shanghai, China.
Meimei TianDepartment of Nursing, Tenth People's Hospital, Tongji University Shanghai, China.
Yafen MaoDepartment of Nursing, Tenth People's Hospital, Tongji University Shanghai, China.
Qian WuDepartment of Nursing, Tenth People's Hospital, Tongji University Shanghai, China.
Xiaoping ZhuDepartment of Nursing, Tenth People's Hospital, Tongji University Shanghai, China.
Meifang GongDepartment of Nursing, Tenth People's Hospital, Tongji University Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdverse event is a crucial issue affecting patient's safety of healthcare services. To assess nurses' attitude of reporting adverse events is important to establish a safe environment for patients. However, no relevant instrument has been validated and used in China. This study was to examine validity and reliability of Chinese version of Reporting of Clinical adverse Event Scale (C-RoCAES). MATERIAL AND

methodsChinese version of 25-item RoCAES was used in a sample of 1557 nurses. Confirmatory factor analysis (CFA) and exploratory factor analysis (EFA) were selected for construct validity test. Internal consistency was also examined.

resultsAfter CFA and EFA, two items were removed and two items loaded on different factors in our sample. Five factors were generated, including perceived blame, perceived criteria for identifying events that should be reported, perceptions of colleagues' expectations, perceived benefits of reporting and perceived clarity of reporting procedures. Cronbach's alpha for the total scale and subscales ranged from 0.70 to 0.85.

conclusionC-RoCAES is applicable to healthcare services of China. The instrument provide information for the providers of healthcare services to develop staff education regarding patient safety, and also help them to evaluate strategies of preventing adverse events in clinical practice in China.

Indexed as

confirmatory factor analysisexploratory factor analysisReporting of clinical adverse events scale (RoCAES)

Identifiers

PMID25419395
PMCPMC4238501

What OpenQuestion holds

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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.