Crying by healthcare professionals in the medical setting is a common but understudied phenomenon. We aimed to develop a questionnaire which measures the attitudes of parent towards crying pediatricians and pediatric nurses. We assessed reliability and validity in a group of parents of children who are living with, have died from or survived a life-limiting or life-threatening-condition. The development of the PACPN was based on modification of an existing questionnaire and expert input. In a cross-sectional-design, we assessed reliability and validity for both pediatricians and pediatric nurses. Dimensionality was assessed using principal component analysis (PCA). Cronbach’s alphas were calculated for each subscale. For construct validity, participants were asked to rate an additional question regarding the goal to measure parents’ attitudes towards crying pediatricians/pediatric nurses. We hypothesized that a higher score would have a strong positive correlation with the total score of the PACPN. At the end of the questionnaire, participants were asked to rate and comment the completeness. The developed 25-item questionnaire was completed by 116 parents. The PCA revealed two dimensions: (1) family’s circumstances; (2) personal circumstances of the pediatrician/pediatric nurse. Internal consistency was good (pediatricians,.81–.93; pediatric nurses,.83–.93). The hypothesis regarding construct validity was confirmed (Spearman’s rho =.71–.75). The completeness score was 7.7 (min–max 1–10, SD = 1.51). Conclusion: The PACPN showed good internal consistency and some degree of construct validity. We assume that by adding some items with nuance to the situation and the degree of crying the completeness of the questionnaire will improve. (Table presented.)
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Background: In Turkey, nursing care in hospitals has gradually included more older patients, resulting in a need for knowledgeable geriatric nurses. It is unknown, however, whether the nursing workforce is ready for this increase. Therefore, the aim of this study is to validate the Knowledge about Older Patients Quiz (KOPQ) in the Turkish language and culture, to describe Turkish hospital nurses’ knowledge about older patients, and to compare levels of knowledge between Turkish and Dutch hospital nurses. Conclusions: The KOPQ-TR is promising for use in Turkey, although psychometric validation should be repeated using a better targeted sample with a larger ability variance to adequately assess the Person Separation Index and Person Reliability. Currently, education regarding care for older patients is not sufficiently represented in Turkish nursing curricula. However, the need to do so is evident, as the results demonstrate that knowledge deficits and an increase in older patients admitted to the hospital will eventually occur. International comparison and cooperation provides an opportunity to learn from other countries that currently face the challenge of an aging (hospital) population.
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Clinical decision support systems (CDSSs) have gained prominence in health care, aiding professionals in decision-making and improving patient outcomes. While physicians often use CDSSs for diagnosis and treatment optimization, nurses rely on these systems for tasks such as patient monitoring, prioritization, and care planning. In nursing practice, CDSSs can assist with timely detection of clinical deterioration, support infection control, and streamline care documentation. Despite their potential, the adoption and use of CDSSs by nurses face diverse challenges. Barriers such as alarm fatigue, limited usability, lack of integration with workflows, and insufficient training continue to undermine effective implementation. In contrast to the relatively extensive body of research on CDSS use by physicians, studies focusing on nurses remain limited, leaving a gap in understanding the unique facilitators and barriers they encounter. This study aimed to explore the facilitators and barriers influencing the adoption and use of CDSSs by nurses in hospitals, using an extended Fit Between Individuals, Tasks, and Technology (FITT) framework.
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