Evidence map›Paper›PMID 39348864›Full record

ArticleApplied clinical informatics2025

Development and Validation of the Nursing Information Security Questionnaire.

Xiaoyun Zhou, Xiujuan Jing, Tingting Gao, Hong Liu, Xuebing Jing

Abstract readValidation Study
In one paragraph

Article in Applied clinical informatics, 2025. 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

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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

2 citing papers in PubMed.

  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

5 authors.

Xiaoyun ZhouDepartment of Nursing Faculty, Shandong Second Medical University, Weifang, Shandong, China.
Xiujuan JingZibo Central Hospital, Zibo, Shandong, China.
Tingting GaoZibo Central Hospital, Zibo, Shandong, China.
Hong LiuZibo Central Hospital, Zibo, Shandong, China.
Xuebing JingZibo Central Hospital, Zibo, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEnsuring the security of nursing information holds substantial importance to nursing outcomes and healthcare system management. The awareness of information security among nurses in China is generally inadequate, and there is a lack of standardized evaluation tools for nurse information security in nursing practice. The nursing sector necessitates the establishment of a robust culture surrounding information security.

objectiveThe aim of this study was to construct a self-reporting instrument for evaluating nursing information security.

methodsThe research team utilized literature analysis and group discussions to draft the item pool. After two rounds of Delphi consultation by 15 experts and pilot testing, the initial questionnaire was formed. Item analysis was carried out on the questionnaire, and the validity and reliability of the instrument were statistically tested by computing the Keiser-Meier-Olkin and Bartlett's tests, an exploratory factor analysis (EFA), a confirmatory factor analysis (CFA), convergent and discriminative validity, descriptive statistics, Cronbach's

resultsA total of 501 nurses participated in the study, supplemented by the inclusion of five experts who were invited to contribute to the assessment of content validity. Four factors were formed using EFA (

conclusionFinally, the nursing information security questionnaire (NIS-Q) with 38 items and three dimensions of knowledge, attitude, and practice were formed. A promising assessment instrument for gauging the degree of nursing information security was introduced. Further, a foundational platform was established for implementing specific enhancement strategies aimed at advancing nursing information security.

Indexed as

Computer SecurityNursesNursing InformaticsAdultChinaFemaleHealth Knowledge, Attitudes, PracticeHumansMaleSurveys and QuestionnairesYoung Adult

Identifiers

PMID39348864
PMCPMC11735069

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.