Evidence map›Paper›PMID 38822276›Full record

ArticleBMC nursing2024

A scale for measuring nursing digital application skills: a development and psychometric testing study.

Shijia Qin, Jianzhong Zhang, Xiaomin Sun, Ge Meng, Xinqi Zhuang, Yitong Jia, Wen-Xin Shi, Yin-Ping Zhang

Abstract read
In one paragraph

Article in BMC nursing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

11 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.

Shijia QinFaculty of Nursing, Xi'an Jiaotong University Health Science Center, No.76, West Yanta Road, Xi'an, Shaanxi, 710061, China.
Jianzhong ZhangFaculty of Nursing, Xi'an Jiaotong University Health Science Center, No.76, West Yanta Road, Xi'an, Shaanxi, 710061, China.
Xiaomin SunDepartment of Nursing, Xi'an No.3 Hospital, The Affiliated Hospital of Northwest University, Xi'an, Shaanxi, 710018, China.
Ge MengFaculty of Nursing, Xi'an Jiaotong University Health Science Center, No.76, West Yanta Road, Xi'an, Shaanxi, 710061, China.
Xinqi ZhuangFaculty of Nursing, Xi'an Jiaotong University Health Science Center, No.76, West Yanta Road, Xi'an, Shaanxi, 710061, China.
Yitong JiaFaculty of Nursing, Xi'an Jiaotong University Health Science Center, No.76, West Yanta Road, Xi'an, Shaanxi, 710061, China.
Wen-Xin ShiFaculty of Nursing, Xi'an Jiaotong University Health Science Center, No.76, West Yanta Road, Xi'an, Shaanxi, 710061, China.
Yin-Ping ZhangFaculty of Nursing, Xi'an Jiaotong University Health Science Center, No.76, West Yanta Road, Xi'an, Shaanxi, 710061, China. cathyzhyp@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe adoption of digitization has emerged as a new trend in the advancement of healthcare systems. To ensure high-quality care, nurses should possess sufficient skills to assist in the digital transformation of healthcare practices. Suitable tools have seldom been developed to assess nurses' skills in digital applications. This study aimed to develop the Nursing Digital Application Skill Scale (NDASS) and test its psychometric properties.

methodsThe Nursing Digital Application Skill Scale was developed in three phases. In Phase 1, an item pool was developed based on previous literature and the actual situation of nursing work. Phase 2 included 14 experts' assessment of content validity and a focus group interview with 30 nurses to pretest the scale. In phase 3, 429 registered nurses were selected from March to June 2023, and item analysis, exploratory factor analysis, and confirmatory factor analysis were used to refine the number of items and explore the factor structure of the scale. Additionally, reliability was determined by internal consistency and test-retest reliability.

resultsThe final version of the NDASS consisted of 12 items. The content validity index of NDASS reached 0.975 at an acceptable level. The convergent validity test showed that the average variance extracted value was 0.694 (> 0.5) and the composite reliability value was 0.964 (> 0.7), both of which met the requirements. The principal component analysis resulted in a single-factor structure explaining 74.794% of the total variance. All the fitting indices satisfied the standard based upon confirmatory factor analyses, indicating that the single-factor structure contributed to an ideal model fit. The internal consistency appeared high for the NDASS, reaching a Cronbach's alpha value of 0.968. The test-retest reliability was 0.740, and the split-half coefficient was 0.935.

conclusionThe final version of the NDASS, which possesses adequate psychometric properties, is a reliable and effective instrument for nurses to self-assess digital skills in nursing work and for nursing managers in designing nursing digital skill training.

Indexed as

Digital skillsNursing digital application skillPsychometric testScale development

Identifiers

PMID38822276
PMCPMC11140889

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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.