16 research outputs found

    A rapid review of time management strategies among nurse managers

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    Background: Time management practice is the act of influencing one's behavioural dimensions to complete as many tasks as possible within a specified amount of time. These behavioural dimensions include work organization and the continued application of time management techniques. Good time management, such as setting goals and priorities, as well as planning and delegating tasks, can facilitate productivity and success, contributing to work effectiveness, maintaining balance and job satisfaction. Conversely, poor time management has been associated with poor quality of work, low productivity, negative influence on the career path, and high levels of stress. Aim: The study aims to identify the strategies used by middle nurse managers in time management. Methods: A rapid review of biomedical databases was undertaken during the month of June 2021. The included studies were published in English and in Italian. Results: Findings reveal that the most used and effective time management strategies for nurse managers are setting goals, and priorities and delegating tasks. Other useful strategies also found to be fundamental are discussed in detail. Conclusion: A manager should prioritize the concept of planning, which can be counted as an efficient time management technique and educate himself on delegating. Time management has an impact not only on productivity and organizational success, but also on the balance between private and working life of managers

    Appraisal and Evaluation of the Learning Environment Instruments of the Student Nurse: A Systematic Review Using COSMIN Methodology

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    Background: Nursing education consists of theory and practice, and student nurses’ perception of the learning environment, both educational and clinical, is one of the elements that determines the success or failure of their university study path. This study aimed to identify the currently available tools for measuring the clinical and educational learning environments of student nurses and to evaluate their measurement properties in order to provide solid evidence for researchers, educators, and clinical tutors to use in the selection of tools. Methods: We conducted a systematic review to evaluate the psychometric properties of self-reported learning environment tools in accordance with the Consensus-based Standards for the Selection of Health Measurement Instruments (COSMIN) Guidelines of 2018. The research was conducted on the following databases: PubMed, CINAHL, APA PsycInfo, and ERIC. Results: In the literature, 14 instruments were found that evaluate both the traditional and simulated clinical learning environments and the educational learning environments of student nurses. These tools can be ideally divided into first-generation tools developed from different learning theories and second-generation tools developed by mixing, reviewing, and integrating different already-validated tools. Conclusion: Not all the relevant psychometric properties of the instruments were evaluated, and the methodological approaches used were often doubtful or inadequate, thus threatening the instruments’ external validity. Further research is needed to complete the validation processes undertaken for both new and already developed instruments, using higher-quality methods and evaluating all psychometric propertie

    Psychometric Properties of the Italian Version of the Leader Member Exchange Scale (LMX-7): A Validation Study

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    For decades, scholars have studied leader–member exchange (LMX) relationships to understand and explain the effects of leadership on follower attitudes and performance outcomes within work settings. One available instrument to measure these aspects is the LMX-7 scale. This measurement has been widely used in empirical studies, but its psychometric properties have been poorly explored. The aim of this study was to test the psychometric characteristics (content, structural and construct validity, and reliability) of the Italian version of the LMX-7 scale and to support its cultural adaptation. We used a cross-sectional multi-center design. The forward–backward translation process was used to develop the Italian version of the scale. The scale was administered through an online survey to 837 nurses and nurse managers working in different settings. The factorial structure was tested using both exploratory and confirmatory factor analyses (EFA and CFA), and reliability was evaluated using Cronbach’s alpha. For the construct validity, we used hypothesis testing and differentiation by known groups. The Italian version of the LMX-7 scale presented one dimension. All the psychometric tests performed confirmed its validity and suggested its usefulness for future research

    Assessment of the Psychometric Characteristics of the Italian Version of the Nurse Manager Actions Scale

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    Nurse managers play a vital role in healthcare organizations, wielding the ability to substantially enhance work environments, foster nurses’ autonomy, and bolster retention within workplaces. In this context, this study focuses on the Nurse Manager Actions scale, aiming to evaluate its items’ scalability as well as the scale’s validity and reliability among nurses and nurse managers operating within the Italian healthcare context. The study protocol was not registered. To ensure linguistic and cultural alignment, an iterative and collaborative translation process was undertaken. Subsequently, a multi-center cross-sectional design was adopted. Using a web-survey approach, data were collected among 683 nurses and 188 nurse managers between August 2022 and January 2023. The Nurse Manager Actions scale was found to be a valid and reliable instrument in Italian after a Mokken Scale Analysis. For nurses (HT = 0.630, Molenaar–Sijtsma rho = 0.890), the scale included 6 items, while 11 items were confirmed for nurse managers (HT = 0.620, Molenaar–Sijtsma rho = 0.830). Nurse Manager Actions scale scores were correlated with increased satisfaction and decreased intention to leave for both nurses and nurse managers. The employed validation process enhanced the scale validity for use in Italy and provided a model for other researchers to follow when assessing similar measures in different populations. Measuring and empowering nurse manager actions in work contexts is essential to improve the general well-being and retention of nurses, especially in the current nursing shortage

    Evaluation of Standard Precautions Compliance Instruments: A Systematic Review Using COSMIN Methodology

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    Background: Standard precautions (SPs) are first-line strategies with a dual goal: to protect health care workers from occupational contamination while providing care to infected patients and to prevent/reduce health care-associated infections (HAIs). This study aimed at (1) identifying the instruments currently available for measuring healthcare professionals’ compliance with standard precautions; (2) evaluating their measurement properties; and (3) providing sound evidence for instrument selection for use by researchers, teachers, staff trainers, and clinical tutors. Methods: We carried out a systematic review to examine the psychometric properties of standard precautions self-assessment instruments in conformity with the COSMIN guidelines. The search was conducted on the databases PubMed, CINAHL, and APA PsycInfo. Results: Thirteen instruments were identified. These were classified into four categories of tools assessing: compliance with universal precautions, adherence to standard precautions, compliance with hand hygiene, and adherence to transmission-based guidelines and precautions. The psychometric properties of instruments and methodological approaches of the included studies were often not satisfactory. Only four instruments were classified as high-quality measurements. Conclusions: The available instruments that measure healthcare professionals’ compliance with standard precautions are of low-moderate quality. It is necessary that future research completes the validation processes undertaken for long-established and newly developed instruments, using higher-quality methods and estimating all psychometric properties

    Self-Perceived Clinical Competence of Nurses in Different Working Experiences: A Cross-Sectional Study

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    Background: Competence is an essential concept for measuring nurses’ performance in terms of effectiveness and quality. To this end, our analysis highlighted the process of acquiring competencies, their self-evaluation into clinical practice, and how their proficiency levels change throughout the nursing career. In detail, this research explored nurses’ perceived level of competence and the factors that influence it in different contexts. Methods: A cross-sectional survey using a structured questionnaire to assess the nursing participants’ perception of their competencies in different clinical settings was accomplished. Results: A descriptive and bivariate analysis was performed on 431 nurses. Most respondents assessed their level of competence to be higher than their roles required. The Kruskal–Wallis test confirmed that nursing experience was a relevant factor influencing nursing competencies. Conclusions: We suggest improving the competence of practicing nurses, using experience as a measurable effect of their development

    What determines physical, mental and emotional workloads on nurses? A cross-sectional study

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    Aim: This study aimed to identify determinants of physical, mental and emotional nursing workloads.Background: Workload has a physical, mental and emotional dimension. It influences employees' well-being and quality of care. Nevertheless, studies of specific predictors for each dimension of nurses' workload are scarce.Methods: We used a cross-sectional prospective design based on the Job Demand-Resources theory. We asked nurses to describe workload perceived at the end of every shift over three consecutive weeks. Data were gathered from two academic hospitals, in seven medical-surgical wards. We received 259 responses and tested 2 multivariate regression models.Results: Physical workload was predicted from all variables tested; mental workload was determined by patient complexity or isolation, adequacy of nurse staffing and skill-mix, and unscheduled activities; and emotional workload was predicted by all variables except adequacy of staffing and other people's education.Conclusions: Patient, nurse and workflow aspects influenced nurse's shift workload differently for each specific dimension.Implications for Nursing Management: Measurement and definition of predictors of workload in the work environment are essential. Recognizing the determinants of specific dimensions of workload facilitates identification of the most appropriate interventions to improve nurses' well-being in health care settings

    Quality of life of critical care nurses and impact on anxiety, depression, stress, burnout and sleep quality: A cross-sectional study

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    Objectives: To investigate how anxiety, depression, stress, burnout, and sleep quality impact on Quality of life of critical care nurses. Background: Several studies reported that critical care nurses are exposed to a high risk of anxiety, depression, burnout, stress, and sleep quality, but we do not know the impact of critical care nurses. Design: A cross-sectional study. Methods: We have included all critical care nurses working in the intensive care unit for at least six months. Data were collected from December 1, 2021, to March 18, 2022. We evaluated the critical care nurses using the Depression Anxiety Stress Scale (DASS), Maslach Burnout Inventory scale, Pittsburgh Sleep Quality Index and Nurse Quality of Life. The primary endpoint is Quality of Life. Associations were tested using multivariate modelling. Results: A total of 140 critical care nurses were included. Multivariate regression showed the relation between emotional QoL and emotional exhaustion and DASS total score [OR = 0.14; 95% CI (0.03–0.73); p = 0.019 and OR = 3.64; 95% CI (1.07–12.32); p = 0.038, respectively]. Personal accomplishment and DASS total score have a direct relationship on quality of work-life [OR = 0.21; 95% CI (0.05–0.82); p = 0.024 and OR = 4.18; 95% CI (1.01–17.33); p = 0.049, respectively]. Conclusions: The physical quality of life is not optimal in critical care nurses, while burnout and the DASS score directly impact the emotional and work-life quality of life. Implications for clinical practice: Our research has highlighted the importance of detecting the quality of life of critical care nurses. The nurses should take proper care of their health by adopting the right health behaviours to create correct work conditions and increase the quality of care for critically ill patients

    Decoding Nursing Job Demands: A Multicenter Cross-Sectional Descriptive Study Assessing Nursing Workload in Hospital Medical-Surgical Wards

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    Background: Nursing workload is largely studied but poorly explored under physical, mental, and emotional dimensions. Currently, only a limited number of variables have been linked to nursing workload and work contexts. Purpose: The study aimed to investigate whether it is feasible to identify variables that consistently correlate with nursing workload and others that are specific to the context. Methods: We employed a descriptive correlational analysis and a cross-sectional design. Data were collected through a survey distributed to registered nurses working across Italy, at the conclusion of randomly assigned morning or afternoon shifts. Results: We received 456 surveys from 195 shifts, collected from nurses in four public and two private hospitals. Commonly associated variables with nursing workload dimensions included patient complexity of care, admission/discharge or transfer, informing patients/relatives, contacting physicians, and unscheduled activities. Variables categorized as setting-specific were patient isolation and specialties, nurse-to-patient ratio, adequacy of staff in the shift, peer collaboration, healthcare documentation, educating others, and medical urgency. Conclusions: In summary, certain variables consistently correlate with nursing workload across settings, while others are specific to the context of care. It is imperative for nurses and nurse managers to measure the nursing workload in various dimensions, enabling the prompt implementation of improvement actions
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