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Background. Nurses' high workload can result in depressive symptoms. However, the research has underexplored the internal and external variables, such as organisational support, career identity, and burnout, which may predict depressive symptoms among Chinese nurses via machine learning (ML). Aim. To predict nurses' depressive symptoms and identify the relevant factors by machine learning (ML) algorithms. Methods. A self-administered smartphone questionnaire was delivered to nurses to evaluate their depressive symptoms;1,431 questionnaires and 28 internal and external features were collected. In the training set, the use of maximum relevance minimum redundancy ranked the features' importance. Five ML algorithms were used to establish models to identify nurses' depressive symptoms using different feature subsets, and the area under the curve (AUC) determined the optimal feature subset. Demographic characteristics were added to the optimal feature subset to establish the combined models. Each model's performance was evaluated using the test set. Results. The prevalence rate of depressive symptoms among Chinese nurses was 31.86%. The optimal feature subset comprised of sleep disturbance, chronic fatigue, physical fatigue, exhaustion, and perceived organisation support. The five models based on the optimal feature subset had good prediction performance on the test set (AUC: 0.871–0.895 and accuracy: 0.798–0.815). After adding the significant demographic characteristics, the performance of the five combined models slightly improved;the AUC and accuracy increased to 0.904 and 0.826 on the test set, respectively. The logistic regression analysis results showed the best and most stable performance while the univariate analysis results showed that external and internal personal features (AUC: 0.739–0.841) were more effective than demographic characteristics (AUC: 0.572–0.588) for predicting nurses' depressive symptoms. Conclusions. ML could effectively predict nurses' depressive symptoms. Interventions to manage physical fatigue, sleep disorders, burnout, and organisational support may prevent depressive symptoms.
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Aim. To develop a set of infectious disease emergency response competencies specific to frontline nurses in China. Background. Nurses play an important role in the infectious disease emergency response. Competency-based training is the cornerstone of the professionalization of disaster rescue, including the infectious disease emergency response. Accordingly, reaching a consensus on a set of core competencies is essential. However, information regarding the competencies needed for nurses in the infectious disease emergency response is limited. Methods. A literature review and in-depth expert interviews were conducted to establish a draft of competencies, which consisted of 53 items, including 3 first-level index items, 12 second-level index items, and 38 third-level index items. Eighteen experts with the knowledge of infectious disease management and experience with infectious disease emergency rescue from different regions in China were recruited for Delphi consultation. A two-round Delphi survey was conducted via email. Consensus was defined as a mean importance value >4.5 and the coefficient of variation <0.25 among the experts. Finally, the analytic hierarchy process was used to determine the weight of each index on which consensus had been reached. Results. An index system of infectious disease emergency response competencies for nurses was constructed, including 3 first-level indices (knowledge, attitudes, and skills), 10 second-level indices, and 32 third-level indices. The response rates of the two rounds of the Delphi survey were both 100%, and the authority coefficient of the 18 experts was 0.903. The weighted value of each index was established with a consistency ratio <0.1, demonstrating that skill (0.5396) ranked first among the three first-level indices, followed by knowledge (0.2970) and attitudes (0.1634). Conclusion. The study developed a consensus on infectious disease emergency response competencies required for nurses in China, which provides guidance for the assessment and training of nurses on infectious disease emergency response. Implications for Nursing Management. According to the competency index system, nursing managers could develop effective training programs of infectious disease emergency response competency for nurses and select competent nurses for emergency response to infectious diseases.
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The purpose of the study was to describe the experiences of nurse managers in change management in a hospital organization during the COVID-19 pandemic. The data were collected in thematic interviews of nurse managers (n=20) working in frontline or middle management positions between June and October 2021 in one central hospital. Based on the results, the experiences of nurse managers in change management during the COVID-19 pandemic were formed of maintaining communality, manageability of change and decision-making, meaningfulness of management, and functionality of communication. [...]nursing management is perceived to be very important in successful change implementation and management in hospital organization.
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Aim. This research aimed to explore how servant leadership nurtures nurses' job embeddedness by uncovering the sequential mediation of psychological contract fulfillment and psychological ownership. Background. The healthcare of Pakistan is undergoing an acute shortage of 1.3 million nurses. The gap is widening due to unprecedented natural uncertainties (floods, earthquakes, COVID-19, dengue, polio, and monkeypox) and the large-scale brain drain of nurses. Therefore, exploring the underlying factors that could facilitate nurses' job embeddedness is imperative. Methods. A cross-sectional research design was employed, wherein data were gathered in three rounds, two months apart, from 587 nurses employed in public hospitals in Pakistan, and analysis was performed with Smart-PLS. Results. Servant leadership positively influences nurses' job embeddedness and psychological contract fulfillment. Besides, psychological contract fulfillment positively affects psychological ownership, and psychological ownership enhances nurses' job embeddedness. Finally, psychological contract fulfillment and psychological ownership sequentially mediate the relationship between servant leadership and job embeddedness. Conclusions. This research emphasized the vitality of servant leadership in nurturing nurses' job embeddedness. Implications for Nursing Management. Healthcare authorities should keenly focus on promoting servant leadership that shapes the positive perception of nurses about their psychological contract fulfillment and psychological ownership, which are essential resources to cherish nurses' job embeddedness.
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Aim. The aim of this review is to find out what levels of anxiety and fear have been shown by nurses during the COVID-19 pandemic. Background. Health security crises affect not only physical health but also the mental health and wellbeing of healthcare professionals due to a higher level of exposure. Evaluation. A systematic review was carried out following the PRISMA statement. Methodological quality was assessed using the Joanna Briggs Institute critical appraisal tools. The literature search was carried out in the PubMed, Scopus, and Web of Science (WoS) electronic databases based on the keywords that the research question yielded following the PECOT strategy. For the selection of articles, original articles, meta-analyses, systematic reviews, short communication articles, and case reports were included. Then, a series of inclusion and exclusion criteria were applied, screening the results to obtain a total of 18 articles, which were used to elaborate the study. Key Issues. Fear and anxiety levels were described in a total of 18 selected studies. The main fear-related concerns of the nurses were associated with the fear of infecting their family or friends and the fear of the death of a family member or friend. Conclusions. The main psychological impact on nurses during the COVID-19 pandemic was related to fear, anxiety, stress, and depression. Fear of infecting family members or of being infected were the main impacts perceived by nurses. Implications for Nursing Management. In general, high scores were found for levels of fear and anxiety, although the figures varied by country and time of data collection. Resilience was considered the main tool for coping with the loss and trauma experienced by nurses.
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Healthcare has always been a sector where staff have to deal with constant change, but never has this flux been so extreme as during the pandemic of the past 18 months.
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In a recent Twitter discussion @DrHayeLo posed this question: ‘Does anyone else who works in the NHS hate it when people refer to others by banding – “This is Lorraine, she’s the band X”?’ This made me think: in the ‘new normal’ of post-pandemic healthcare, should those we work with be defined by their banding?
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Nurses, along with other care colleagues, have been described during the COVID-19 pandemic as heroes and saviours. Some have died as a consequence of providing this care, possibly because they had inadequate personal protective equipment (PPE).
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As hospitals have been transforming in response to the COVID-19 pandemic, so too has community nursing. Like the acute sector, we anticipated a surge in demand and workload, with increasing numbers of patients requiring our help in their own homes and in care homes, many of them near the end of life.
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Every generation of nurses has its moment when the nursing profession comes to the fore. For some this moment is defined by conflict, for others by epidemics. But few of these moments touch the entire profession, as COVID-19 has.
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It seems inevitable that caring for patients in the high-stakes context of COVID-19 will take its toll on the mental health of nurses.
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The Nightingale, a critical care temporary hospital, was created in just nine days at London’s ExCeL centre in response to the COVID-19 pandemic.
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The current scenario of nursing in India forces us to introspect if the nurses are equipped enough to bring out their best contribution towards the health of our country and if their voices are well heard in the healthcare system. Despite being highly skilled professionals, nurses are neither facilitated nor rewarded enough to sustain their motivation and inputs. To understand the struggles faced by nurses in India, we reviewed literature that addresses Indian nurses' concerns and brainstormed about the major challenges that nurses encounter with key nursing personnel from nursing education, clinical services and administration from selected hospitals of India. The major challenges that negatively affect the contribution of nurses are shortage of nurses, poor working conditions and career opportunity, ineffective leadership roles, poor educational quality, low salary and state neglect. The COVID-19 pandemic has proven the vast contribution and sacrifice of nurses. The competency of nurses has gone up with specialization, and advanced nursing degrees. Enhancing nurses' involvement in collaborative healthcare research would be a hallmark in improving the quality patient care. To efficiently utilize the contribution of the nurses in healthcare system, the society and state have to recognize the potentials and vulnerabilities of nurses, appreciate their strengths and reciprocate responsibilities to their neglected concerns.
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AIMS: Aim of this study is to better understand the role of nurses' professional judgment in nurse staffing systems. DESIGN: Qualitative comparative case study design of nurse staffing systems in England and Wales. METHODS: Data will be collected through a variety of sources: individual interviews, observations of relevant meetings and analysis of key documents. Ethical approval for the study was granted in August 2020 from The Healthcare Research Ethics Committee (SREC reference: REC741). Data generation will be informed by science and technology studies and practice theories. DISCUSSION: Ensuring adequate numbers of nurses are available to care for patients in response to shifting demand is an international policy priority. Emerging evidence on the use of formal workforce planning methodologies across the developed world highlights both the centrality of nurses' professional judgement in nurse staffing methodologies and the urgent need for theoretically informed research to better understand and conceptualise its contribution to decision-making. This study is designed to address this gap in understanding. It takes advantage of nurses' experiences of managing the service and staffing impacts of the Covid-19 pandemic and differences in strategic approaches to nurse staffing systems between England and Wales. IMPACT: The research will: make visible the knowledge and skills that underpin professional judgement in nurse staffing decisions and provide a conceptual language with which to articulate this; lay the foundations for evidence-based programmes of nurse education and continuing professional development; furnish the evidence to inform the development of nurse-led decision support tools to augment professional judgement; and generate wider insights into the effectiveness of nurse staffing systems in practice.
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COVID-19 , Nurses , Humans , Pandemics , Personnel Staffing and Scheduling , SARS-CoV-2 , WorkforceABSTRACT
OBJECTIVES: This article aims to summarize a series of contingency management strategies of the Nursing Department in the centralized treatment of patients with coronavirus disease 2019 (COVID-19). METHODS: The strategies of the Nursing Department included an early warning for prevention and control, taking functions of vertically commanding and horizontally coordinating, and reasonably allocating nursing workforce, to facilitate centralized treatment work in the in-hospital fever clinic, isolation wards and ICU, and referral and admission of critical patients. Five special groups were established in charge of training and examination, management and supervision, psychological support, logistical support, and reporting and publicity, respectively. RESULTS: It was achieved that no deaths from critical patients and no medical staff, no other patients were infected. CONCLUSION: Through the implementation of these strategies, safe and efficient centralized treatment was ensured timely, orderly and sustainably.