Evidence map›Paper›PMID 41992642›Full record

ArticleJournal of nursing management2026

Technophobia and Its Associated Factors Among Registered Nurses in China: A Cross-Sectional Multicenter Study.

Xuange Sun, Xu Liu, Xiaolin Chang, Na Hu, Xiangxiu Qi, Xiaofei Li

Abstract readMulticenter Study
In one paragraph

Article in Journal of nursing management, 2026. 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

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.

  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

6 authors.

Xuange SunDepartment of Endocrinology and Metabolism, The First Hospital of China Medical University, Shenyang, China, cmu.edu.cn.ORCID https://orcid.org/0009-0006-2985-1919
Xu LiuSchool of Nursing, China Medical University, Shenyang, China, cmu.edu.tw.ORCID https://orcid.org/0009-0001-9075-6076
Xiaolin ChangOutpatient Service by Famous Specialists, The First Hospital of China Medical University, Shenyang, China, cmu.edu.cn.ORCID https://orcid.org/0000-0002-3479-8028
Na HuTransplantation and Hepatobiliary Department, The First Hospital of China Medical University, Shenyang, China, cmu.edu.cn.ORCID https://orcid.org/0000-0002-5916-0143
Xiangxiu QiSchool of Nursing, China Medical University, Shenyang, China, cmu.edu.tw.ORCID https://orcid.org/0000-0002-6012-1002
Xiaofei LiSchool of Nursing, China Medical University, Shenyang, China, cmu.edu.tw.ORCID https://orcid.org/0000-0001-8395-9775

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo examine the level of technophobia and identify its associated sociodemographic, occupational, and psychosocial factors among registered nurses in China.

backgroundThe rapid digital transformation of healthcare systems demands that nurses effectively adopt and use digital technologies. Technophobia-defined as negative emotional reactions toward technology-may impede nurses' adaptation to technological innovations. However, no study is currently available on technophobia and its associated factors in registered nurses.

designA multicenter, cross-sectional study.

methodsA total of 1559 registered nurses from two university-affiliated tertiary hospitals in Northeast China were surveyed between September and October 2025. Data were collected using a self-administered questionnaire including sociodemographic factors, occupational factors, the validated Chinese version of the Technophobia Scale, the Multidimensional Scale of Perceived Social Support, and the Athens Insomnia Scale. A generalized linear model was fitted to identify independent predictors of technophobia.

resultsThe nurses' median technophobia score was 26.00 (P

conclusionsTechnophobia among registered nurses in China is at a moderately low level. Interventions targeting modifiable factors-such as workload management, sleep health, job satisfaction, and social support-through structured digital literacy training, peer support mechanisms, and other supportive workplace strategies may help mitigate technophobia and enhance nurses' readiness for digital transformation. PATIENT OR PUBLIC CONTRIBUTION: Nurses voluntarily participated in the survey. The findings may indirectly benefit patients through improved nurse engagement with digital health systems and safer, more efficient care delivery.

Indexed as

NursesPhobic DisordersAdultAttitude to ComputersChinaCross-Sectional StudiesFemaleHumansJob SatisfactionMaleMiddle AgedPsychometricsSurveys and Questionnairesdigital healthjob satisfactionnursespsychosocial factorssleep qualitysocial supporttechnophobiaworkload

Identifiers

PMID41992642
PMCPMC13087445

What OpenQuestion holds

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LicenceCC BY
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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.