Journal of nursing management · 2026
Technophobia and Its Associated Factors Among Registered Nurses in China: A Cross-Sectional Multicenter Study.
СтатьяМногоцентровое исследованиеНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Sun Xuange, Liu Xu, Chang Xiaolin, Hu Na, Qi Xiangxiu, Li Xiaofei
Аннотация
AIM: To examine the level of technophobia and identify its associated sociodemographic, occupational, and psychosocial factors among registered nurses in China.
BACKGROUND: The 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.
DESIGN: A multicenter, cross-sectional study.
METHODS: A 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.
RESULTS: The nurses' median technophobia score was 26.00 (P25-P75: 13.00-39.00), indicating a low-to-moderate level overall. The generalized linear model revealed that male gender (β = 0.201), having one child (β = 0.130), living alone (β = 0.091), having a higher perceived workload (β = 0.048), and poorer sleep quality (β = 0.015) were independently associated with greater technophobia. Conversely, higher job satisfaction (β = -0.081) and stronger social support (β = -0.003) were independently associated with lower technophobia; however, the effect size for social support was relatively small, all p < 0.05.
CONCLUSIONS: Technophobia 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.
BACKGROUND: The 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.
DESIGN: A multicenter, cross-sectional study.
METHODS: A 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.
RESULTS: The nurses' median technophobia score was 26.00 (P25-P75: 13.00-39.00), indicating a low-to-moderate level overall. The generalized linear model revealed that male gender (β = 0.201), having one child (β = 0.130), living alone (β = 0.091), having a higher perceived workload (β = 0.048), and poorer sleep quality (β = 0.015) were independently associated with greater technophobia. Conversely, higher job satisfaction (β = -0.081) and stronger social support (β = -0.003) were independently associated with lower technophobia; however, the effect size for social support was relatively small, all p < 0.05.
CONCLUSIONS: Technophobia 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.