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This article aimed to identify different technophobia subgroups of older adults and examine the associations between these distinct subgroups and the subjective age. A sample of 728 retired older adults over the age of 55 was recruited in China. Latent profile analysis was conducted to identify technophobia subgroups using three indicators: techno-anxiety, techno-paranoia and privacy concerns. Analysis of Variance was applied to determine whether a relationship exists between the identified technophobic subgroups and subjective ages (Feel-age, Look-age, Do-age and Interests-age). Four technophobia types were identified: 'low-technophobia' (24.59%), 'high-privacy concerns' (26.48%), 'medium-technophobia' (28.38%), and 'high-technophobia' (20.55%). Privacy concerns play a major role in the profiles of older adults who belong to the profiles of 'high-privacy concerns' and 'high-technophobia' (47.03%). A series of ANOVAs showed that older adults in the 'low-technophobia' were more likely to be younger subjective ages of the feel-age and interest-age. The majority of Chinese older adults do not suffer from high levels of technophobia, but do concerns about privacy issues. It also pointed out the younger subjective age might have a protective effect on older adults with technophobia. Future technophobia interventions should better focus on breaking the age stereotype of technology on older adults. [ABSTRACT FROM AUTHOR]

Background: Workflow interruptions are common in modern work systems. Electronic health record (EHR) tasks are typical tasks involving human–machine interactions in nursing care, but few studies have examined interruptions and nurses' mental workload in the tasks. Therefore, this study aims to investigate how frequent interruptions and multilevel factors affect nurses' mental workload and performance in EHR tasks. Methods: A prospective observational study was conducted in a tertiary hospital providing specialist and sub-specialist care from June 1st to October 31st, 2021. An observer documented nurses' EHR task interruptions, reactions and performance (errors and near errors) during one-shift observation sessions. Questionnaires were administered at the end of the electronic health record task observation to measure nurses' mental workload for the electronic health record tasks, task difficulty, system usability, professional experience, professional competency, and self-efficacy. Path analysis was used to test a hypothetical model. Results: In 145 shift observations, 2871 interruptions occurred, and the mean task duration was 84.69 (SD 56.68) minutes per shift. The incidence of error or near error was 158, while 68.35% of errors were self-corrected. The total mean mental workload level was 44.57 (SD 14.08). A path analysis model with adequate fit indices is presented. There was a relationship among concurrent multitasking, task switching and task time. Task time, task difficulty and system usability had direct effects on mental workload. Task performance was influenced by mental workload and professional title. Negative affect mediated the path from task performance to mental workload. Conclusions: Nursing interruptions occur frequently in EHR tasks, come from different sources and may lead to elevated mental workload and negative outcomes. By exploring the variables related to mental workload and performance, we offer a new perspective on quality improvement strategies. Reducing harmful interruptions to decrease task time can avoid negative outcomes. Training nurses to cope with interruptions and improve competency in EHR implementation and task operation has the potential to decrease nurses' mental workload and improve task performance. Moreover, improving system usability is beneficial to nurses to mitigate mental workload. [ABSTRACT FROM AUTHOR]

Aims: To investigate the mental workload level of nurses aiding the most affected area during the Coronavirus disease 2019 (COVID‐19) pandemic and explore the subtypes of nurses regarding their mental workload. Design: Cross‐sectional study. Methods: A sample of 446 frontline nurses participated from March 8 to 19, 2020. A latent profile analysis was performed to identify clusters based on the six subscales of the Chinese version of the National Aeronautics and Space Administration Task Load Index. The differences among the classes and the variables including sociodemographic characteristics, psychological capital and coping style were explored. Results: The level of mental workload indicates that the nurses had high self‐evaluations of their performance while under extremely intensive task loads. The following three latent subtypes were identified: 'low workload & low self‐evaluation' (8.6%); 'medium workload & medium self‐evaluation' (35.3%) and 'high workload & high self‐evaluation' (56.1%) (Classes 1, 2, and 3, respectively). Nurses with shared accommodations, fewer years of practice, junior professional titles, lower incomes, nonmanagement working positions, lower psychological capital levels and negative coping styles had a higher likelihood of belonging to Class 1. In contrast, senior nurses with higher psychological capital and positive coping styles were more likely to belong to Classes 2 and 3. Conclusion: The characteristics of the 'low workload & low self‐evaluation' subtype suggest that attention should be paid to the work pressure and psychological well‐being of junior nurses. Further research on regular training program of public health emergency especially for novices is needed. Personnel management during public health events should be focused on the allocation between novice and senior frontline nurses. Impact: This study addresses the level of mental workload of frontline nurses who aid in the most severe area of the COVID‐19 pandemic in China and delineates the characteristics of the subtypes of these nurses. [ABSTRACT FROM AUTHOR]

Background: Doctors should disclose the diagnosis to patients according to the principle of autonomy. However, not disclosing the diagnosis and prognosis to cancer patients remains common in mainland China. Objective: The study explored the experiences and attitudes of patients with cancer, family members, and the medical staff in truth-telling. Research design: A quantitative survey with three closed-ended questionnaires was conducted. Participants: In all, 137 patients with cancer, 134 family members caring for cancer cases, and 54 medical staff were surveyed. Descriptive statistics were used to summarize all characteristics, and the chi-square test was performed to analyze group differences in attitudes toward cancer disclosure. Ethical considerations: This study was approved by the Committee on Ethics of Biomedicine Research, at the Second Military Medical University (HJEC-2018-YF-001). Informed consent was obtained from all participants prior to study commencement. Findings: A total of 59.8% of patients were informed about their diagnosis within 1 week, and 19.7% inferred theirs. The medical staff preferred to prioritize family members in informing about patient diagnosis while 77.4% of patients preferred to be told the whole truth at the time of initial diagnosis. More patients than family members and medical staff wanted the patients to be informed about the diagnosis (p < 0.001). A significant difference was found between the patients and family members regarding who should tell the patients. Discussion: The willingness of patients in knowing the truth was underestimated by their family members as well as the medical staff. Guessing the truth indirectly may exert negative effects on the patients, and not telling the truth is inappropriate in patients who want to be informed. Conclusion: Disclosure of a cancer diagnosis is a complex process involving medical practice, as well as a range of cultural, ethical, and legal factors. The medical staff should first assess each patient's willingness in truth-telling and inform about disease diagnosis with respect. Emotional support and comfort from family members are encouraged. Anyone in the patient's care team, especially nurses, could be integrated in the process of truth-telling. [ABSTRACT FROM AUTHOR]

Case-based Learning was an effective and highly efficient teaching approach that was extensively applied in education systems across a variety of countries. Critical thinking ability is an important indicator for access the study ability for baccalaureate nursing education. The study aimed to explore the effect of "nursing case-based learning" course on the critical thinking ability of nursing student. A total of 80 students who were in Junior were included in this study. The experimental group included 40 students who selected "nursing case-based learning" course. The control group included 40 students who selected the traditional teaching course. The critical thinking disposition inventory (CTDI-CV) was used to evaluate the effects of the critical thinking abilities during the 1st week (pre-test), the 9th week (mid-test), and the 18th week (post-test). There are no statistically significant differences between two groups in the pre-test thinking abilities (P > 0.05). After nine weeks, the critical thinking abilities of experimental group were significantly higher than control group (P < 0.05). Three obtained time-points had statistically significant differences of control and experimental group (P < 0.05). The "nursing case-based learning" was an effective course to develop the critical thinking abilities of nursing students. Strict instructional design was the guarantee for the smooth implementation of "nursing case-based learning" course. • A course was designed to develop critical thinking in nursing undergraduates. • Course case was a series of clinical cases, included the "admission care, inpatient care, discharges care" framework. • The "nursing case-based learning" course uses a rigorous instructional design. [ABSTRACT FROM AUTHOR]