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  1. Alsyouf A, Ishak AK, Lutfi A, Alhazmi FN, Al-Okaily M
    Int J Environ Res Public Health, 2022 Sep 05;19(17).
    PMID: 36078837 DOI: 10.3390/ijerph191711125
    This study examines nurses' Continuance Intention (CI) to use electronic health records (EHRs) through a combination of three conceptual frameworks: the Unified Theory of Acceptance and Use of Technology (UTAUT), the theory of expectation-confirmation (ECT), and the Five-Factor Model (FFM). A model is developed to examine and predict the determinants of nurses' CI to use EHRs, including top management support (TMS) and the FFM's five personality domains. Data were collected from a survey of 497 nurses, which were analyzed using partial least squares. No significant relationship was found between TMS and CI. The study revealed that performance expectancy significantly mediated the influences of two different hypotheses of two predictors: agreeableness and openness to testing CI. A significant moderating impact of conscientiousness was found on the relationship between performance expectancy and CI and the relationship between social influence and CI. The findings of this study indicated that rigorous attention to the personality of individual nurses and substantial TMS could improve nurses' CI to use EHRs. A literature gap was filled concerning the mediating effects of performance expectancy on the FFM-CI relationship, and the moderation effects of Conscientiousness on UTAUT constructs and CI are another addition to the literature. The results are expected to assist government agencies, health policymakers, and health institutions all over the globe in their attempts to understand the post-adoption use of EHRs.
  2. Shehab S, Al-Bsheish M, Meri A, Dauwed M, Aldhmadi BK, Kareem HM, et al.
    PLoS One, 2023;18(1):e0278721.
    PMID: 36656899 DOI: 10.1371/journal.pone.0278721
    BACKGROUND: Head nurses are vital in understanding and encouraging knowledge sharing among their followers. However, few empirical studies have highlighted their contribution to knowledge-sharing behaviour in Online Health Communities (OHCs). In addition, scant literature has examined the moderating role of knowledge self-efficacy in this regard.

    PURPOSES: This study examines the moderating role of self-efficacy between the association of four selected individual factors of head nurses (i.e., Trust, Reciprocity, Reputation, and Ability to Share) and their knowledge-sharing behaviour in OHCs in Jordan.

    METHOD: The data were obtained by using a self-reported survey from 283 head nurses in 22 private hospitals in Jordan. A moderation regression analysis using a structural equation modelling approach (i.e. Smart PLS-SEM, Version 3) was utilised to evaluate the study's measurement and structural model.

    RESULTS: Knowledge self-efficacy moderates the relationship between the three individual factors (i.e., Trust, Reciprocity, and Reputation) and knowledge-sharing behaviours. However, self-efficacy did not moderate the relationship between the ability to share and knowledge-sharing behaviours.

    IMPLICATIONS: This study contributes to understanding the moderating role of knowledge self-efficacy among head nurses in online healthcare communities. Moreover, this study provides guidelines for head nurses to become active members in knowledge sharing in OHCs. The findings of this study offer a basis for further research on knowledge sharing in the healthcare sector.

  3. Jarrar M, Binti Ali N, Shahruddin R, Al-Mugheed K, Aldhmadi BK, Al-Bsheish M, et al.
    J Multidiscip Healthc, 2023;16:119-131.
    PMID: 36684417 DOI: 10.2147/JMDH.S394583
    PURPOSE: This study explores the effect of working duration on nurses and their ill-being (ie, anxiety, depression, fatigue, and sleepiness), intention to leave, and the quality of nursing care.

    METHODS: A questionnaire survey was employed for a convenience sample of 400 nurses at Malacca General Hospital in Malaysia who voluntarily participated in this cross-sectional study. The Statistical Package for the Social Sciences (SPSS) was used to treat and analyze the data. Descriptive statistics were generated, and Post Hoc analyses and ANOVA tests were conducted.

    RESULTS: Findings indicated that working hours duration was significantly associated with nurses' anxiety (F (4, 394) = 10.362, p <0.001), depression (F (4, 395) = 23.041, p< 0.001), fatigue (F (4, 395) = 24.232, p< 0.001), sleepiness (F (4, 395) = 4.324, p < 0.002), quality of nursing care (F (4, 395) = 16.21, p <0.001) and intention leave their job, (F (4, 395) = 50.29, p <0.001). The results also revealed that working more than 14 hours was negatively associated with their perceived quality of nursing care and positively associated with their perceived ill-being and intention to leave.

    CONCLUSION: Shift length is an important issue, and nursing managers must consider shift length as it can adversely correlate with the nurses' perceptions of work and life.

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