Conectar
To clarify the concept of fear of childbirth among pregnant women and to examine its current measure tools.
Fear of childbirth is a psychological symptom, prevalent among pregnant women, which negatively impacts women's health and well-being. It has become an increasingly concerning issue in perinatal mental health. However, due to its poor conceptualization, it presents difficulty in conducting reliable assessments and identifying risk factors.
The Walker and Avant approach to concept analysis guided this review. Six bibliographic databases were systematically searched for published research from their inception date to May 2023. Additional records were identified by manually searching the reference lists of relevant studies. Quantitative and qualitative studies investigating fear of childbirth in pregnant women were included.
Three critical attributes have been identified: cognitive impairments, affective disorders and somatic symptoms. Antecedents include perceived a real or anticipated threat of pregnancy or its outcomes, low perceived self-coping ability and unmet social support needs. Consequences include processing and avoiding behaviours. This study also identified the dimensions of fear of childbirth, including 6 primary categories and 14 subcategories. The content of five scales was analysed and none covered all domains.
The current analysis provides healthcare providers with a more comprehensive framework to assess and identify fear of childbirth. Further research is needed to develop a suitable instrument that covers all the attributes and dimensions of this concept and assesses its severity.
This conceptual analysis provides a comprehensive insight into the phenomenon of fear of childbirth. This will help family members, healthcare providers and policymakers to identify the psychological needs of pregnant women and improve the quality of antenatal care.
Not applicable as no new data were generated.
This study aims to conduct a comprehensive bibliometric analysis to explore the trajectory and thematic developments of emotional labour research in nursing.
Utilizing descriptive and bibliometric analysis techniques.
The data analysis and graphical presentation were conducted using the Bibliometrix Package in R software.
The Web of Science Core Collection (WoSCC) database was searched on October 20, 2023.
From 1992 to 2023, 842 authors published relevant articles, yielding 779 author keywords. There has been a general upward trend in the number of articles published over the past 30 years, with an annual growth rate of 11.71%. Keyword co-occurrence cluster analysis revealed the main focus areas of research on emotional labour antecedents and consequences, regulatory modalities, training and education, as well as research methods and application scenarios.
Emotional labour significantly influences nursing staff's well-being and patient care outcomes. Effective management and education regarding emotional labour are crucial for enhancing nursing staff performance and patient care quality. Future research should focus on long-term effects, training efficacy, regulatory strategies across clinical settings, and innovative approaches to address current challenges.
This study provides valuable insights into the unique trajectory and thematic developments of emotional labour research in nursing. The findings underscore the importance of addressing emotional labour in nursing practice and education to improve patient care outcomes and nursing staff well-being.
Adherence to recognized bibliometric reporting methods, following relevant EQUATOR guidelines.
This study is based solely on existing literature and did not involve patients or the public in its design, conduct, analysis, interpretation, or preparation.
Examine the levels of variables and explore drivers associated with shared decision-making attitudes among newly graduated nurses.
This was a descriptive and cross-sectional study.
From August 2022 to October 2022, a cross-section of 216 newly graduated nurses from four comprehensive A-level hospitals in northern China was recruited using convenience sampling. Newly graduated nurses are generally defined as nurses with a service period of six months to one year. Data were collected using an online questionnaire support platform, including the Nursing Shared Decision-Making Attitude scale, Jefferson scale of Empathy-Health profession students and the Health Sciences Evidence-Based Practice questionnaire. All data were analysed descriptively, and correlational analysis and hierarchical regression were used to make identical connections between variables.
Newly graduated nurses supported shared decision-making. Perceptions of shared decision-making were correlated with the experiences of empathy and evidence-based practice. Additionally, perspective-taking of empathy and beliefs, and the ability to search for and apply existing scientific findings of evidence-based practice had a significant impact on more positive attitudes.
The survey showed that acceptance of shared decision-making was positive among newly graduated nurses. Clinical nursing managers and teachers should pay attention to cultivating the evidence-based practice and empathy of newly graduated nurses to adopt an optimistic attitude towards shared decision-making in the long term.
The survey addresses attitudes of shared decision-making among newly graduated nurses and determines whether empathy and evidence-based practice has an impact on it. The main finding is that newly graduated nurses have an optimistic outlook on the implementation of shared decision-making. This survey showed that empathy and evidence-based practice competencies are associated with shared decision-making attitudes among newly graduated nurses. The results of this survey have an impact on educational institutions and hospitals in the form of recommendations. Several training programmes on empathy and evidence-based practice can help adopt the shared decision-making attitudes of newly graduated nurses.
No patient or public contribution.
This study aimed to explore the mediating effect of self-management (SM) on the relationship between illness perception and quality of life (QOL) among Human immunodeficiency virus (HIV)-positive men who have sex with men (MSM).
A cross-sectional study.
We explored the effect of illness perception and self-management on QOL using the multiple regression model. Moreover, we conducted a simple mediation analysis to examine the role of SM in the relationship between illness perception and QOL. In addition, a parallel mediation analysis was performed to investigate the differences in domains of SM on the relationship between illness perception and QOL.
Among 300 Chinese HIV-positive MSM, the mean score of SM was 39.9 ± 6.97, with a range of 14.0–54.0. The higher score in SM indicated a higher level of HIV SM. SM was negatively related to illness perception (r = −0.47) while positively related to QOL (r = 0.56). SM partially mediated the relationship between illness perception and QOL, accounting for 25.3% of the total effect. Specifically, both daily self-management health practices and the chronic nature of the self-management domain played a parallel role in mediating the relationship between illness perception and QOL.
Our study demonstrated that SM was a significant factor influencing QOL among HIV-positive MSM. Focusing on daily self-management health practices and the chronic nature of self-management could be the potential key targets for enhancing HIV self-management strategies.
This study emphasized the role of SM in the well-being of HIV-positive MSM and underscored the importance of developing interventions that integrate SM strategies to improve QOL in this population.
No patient or public contribution.
To compare student nurses' expectations and newly qualified nurses' experiences regarding clinical practice in Switzerland 1 year after graduation.
A secondary explorative analysis of a cross-sectional survey.
The data were sourced from the Swiss National Graduate Survey of Health Professionals covering six universities of applied sciences between 2016 and 2019, with information on three cohorts of bachelor student nurses, with a 1-year follow-up between each year. The participants were 533 bachelor-prepared nursing graduates.
The student nurses' overall expectations included the following top two prioritized aspects: ‘contributing to something important’ and ‘adequate time to spend with patients’. Newly graduated nurses' clinical practice experiences demonstrated that not all expectations were met 1 year after graduation. The largest gaps were found in ‘adequate time to spend with patients’, ‘work–life balance’ and experiencing ‘good management’.
The most crucial expectation gaps are related to having sufficient time to spend with patients and a good work–life balance. The most important result is whether there is a shortage of places for nurses to work rather than the oft-cited shortage of nurses.
The expectations of Swiss newly qualified nurses can be better met by an assessment in the first year about which individual perceptions of workplace characteristics cause them to make choices to change something about their work, affect their job satisfaction or influence their intention to stay.
Few of the student nurses' expectations were met 1 year after graduation, therefore Swiss healthcare institutions should improve needs assessments to strengthen the nurse workforce starting early in employment. The results underscore the importance of a constructive management culture, such as that in magnet hospitals in the United States which underpins the philosophy of changing in nursing. The results can be used internationally as a benchmark and as a basis for introducing potential interventions for nurse retention.
This study was reported following the Standardized Reporting of Secondary Data Analyses Checklist.
There were no patient or public contributions.
This study has not been registered.
To examine the relationships between nurses' exposure to workplace violence and self-reports of workplace cognitive failure.
A cross-sectional study.
An online questionnaire was administered in April 2023 to nurses in Michigan, US. Structural equation modelling was used to examine effects of physical and non-physical workplace violence (occupational stressors) and work efficiency and competence development (occupational protective factors) on workplace cognitive failure.
Physical violence was a significant predictor of the action subscale of cognitive failure. There were no direct effects of non-physical violence, workplace efficiency, or competence development on any of the workplace cognitive failure dimensions. Both types of violence and efficiency had significant indirect effects on workplace cognitive failure via work-related exhaustion. Work-related exhaustion predicted significantly higher scores for workplace cognitive failure.
Workplace violence and work efficiency exhibited primarily indirect effects on workplace cognitive failure among nurses via work-related exhaustion.
Nurses experiencing workplace violence may be at increased risk for workplace cognitive failure, especially if they are also experiencing work-related exhaustion. Workplaces that nurses perceive as more efficient can help to mitigate the effects of violence on nurses' cognitive failure.
This study addressed the possible effects of workplace violence as well as work efficiency and competence development on nurses' cognitive failure at work. Analyses revealed primarily indirect effects of workplace violence, and indirect protective effects of work efficiency, on nurses' cognitive failure via work-related exhaustion. This research has implications for healthcare organizations and suggests that efforts made by healthcare workplaces to prevent violence and work-related exhaustion, and to enhance work efficiency, may help to mitigate workplace cognitive failure among nurses.
We have followed the STROBE checklist in reporting this study.
No Patient or public contribution.
This study aims to investigate the mediating role of regulatory emotional self-efficacy and self-compassion in the relationship among anxiety, depression, body image distress and subjective well-being among women with polycystic ovary syndrome.
A cross-sectional study.
The study recruited 510 women with polycystic ovary syndrome from a tertiary hospital affiliated with a university in Hunan Province, China. The study employed several tools to collect data, including the Generalized Anxiety Scale, the Patient Health Questionnaire-9, the Body Image States Scale, the Self-Compassion Scale, the Regulatory Emotional Self-Efficacy Scale and the Index of Well-being questionnaire. Data analysis was carried out using descriptive analysis, spearman correlation analysis, ordinary least squares regression and bootstrapping.
The study's findings indicate that regulatory emotional self-efficacy and self-compassion both act as mediators in the connection between anxiety, depression, body image distress and subjective well-being among women with polycystic ovary syndrome.
The study emphasizes the significance of regulatory emotional self-efficacy and self-compassion in promoting well-being among women with polycystic ovary syndrome. It also implies that interventions targeted at enhancing these factors could potentially enhance the subjective well-being of women affected by PCOS.
Our study's primary contribution is to underscore the crucial mediating roles of regulatory emotional self-efficacy and self-compassion in the relationship among anxiety, depression, body image distress and subjective well-being. Our study indicates that clinical practitioners should prioritize improving the regulatory emotional self-efficacy and self-compassion of women with polycystic ovary syndrome, reducing their anxiety, depression and body image distress and improving their subjective well-being.
This study was reported according to the Standards for Reporting Qualitative Research (SRQR).
No patient or public contribution outside of participation in the actual study for purposes of data collection.
This study aims to investigate the epidemiological characteristics of COVID-19 infection among healthcare workers, including the severity, duration of infection, post-infection symptoms and related influencing factors.
A self-administered questionnaire was utilized to assess the post-infection status of primary healthcare workers in Jiangsu Province. The questionnaire collected information on demographic characteristics, lifestyle habits, post-infection clinical manifestations, work environment and recovery time of the respondents. Customized outcome events were selected as dependent variables and logistic regression models were employed to analyse the risk factors. Phi-coefficient was used to describe the relationship between post-infection symptoms.
The analysis revealed that several factors, such as female, older age, obesity, previous medical history, exposure to high-risk environments and stress, were associated with a higher likelihood of experiencing more severe outcomes. On the other hand, vaccination and regular exercise were found to contribute to an earlier resolution of the infection. Among the post-infection symptoms, cough, malaise and muscle aches were the most frequently reported. Overall, there was a weak association among symptoms persisting beyond 14 days, with only cough and malaise, malaise and dizziness and headache showing a stronger correlation.
The study findings indicate that the overall severity of the first wave of infection, following the complete lifting of restrictions in China, was low. The impact on primary healthcare workers was limited, and the post-infection symptoms exhibited similarity to those observed in other countries. It is important to highlight that these conclusions are specifically relevant to the population infected with the Omicron variant.
This study helps to grasp the impacts of the first wave of COVID-19 infections on healthcare workers in China after the national lockdown was lifted.
Primary healthcare workers in Jiangsu Province, including doctors, nurses, pharmacists and other personnel from primary healthcare units such as community health service centres and health centres.
Examine profiles of safety attitudes among novices and explore whether profiles moderate the occupational identity–turnover pathway.
Novice nurses face unique challenges in adopting positive safety attitudes, which influence outcomes like turnover. However, past research found only average levels of safety attitudes among novices, ignoring possible heterogeneity. Exploring whether meaningful subgroups exist based on safety perspectives and factors shaping them can provide insights to improve safety attitudes and retention.
This study was designed as a cross-sectional investigation.
Data were collected through the distribution of questionnaires. Descriptive statistics were first conducted, followed by latent profile analysis. We then carried out univariate analysis and ordinal multinomial regression to explore the factors shaping the different profiles. Finally, we examine the moderating effect of nurses' safety attitudes with different latent profiles on the relationship between professional identification and turnover intention.
A total of 816 novice nurses were included. Three profiles were identified: high, moderate and low safety attitudes – higher attitudes were associated with lower turnover intention. Interest in nursing, health status, identity and turnover predicted profile membership. Moderate profile had a stronger buffering effect on the identity–turnover link versus high profile.
Multiple safety attitude profiles exist among novice nurses. Certain factors like interest in nursing and occupational identity are associated with more positive safety profiles. Targeting these factors could potentially improve safety attitudes and reduce turnover among novice nurses. The moderating effects suggest that tailored interventions matching specific subgroups may maximize impact.
Assessing subgroup attitudes enables tailored training for novices' specific needs, nurturing continuous improvement. Supporting early career development and role identity may strengthen retention intentions.
Optimal selection of vascular access devices is based on multiple factors and is the first strategy to reduce vascular access device-related complications. This process is dependent on behavioural and human factors. The COM-B (Capability, Opportunity, Motivation, Behaviour) model was used as a theoretical framework to organize the findings of this systematic review.
To synthesize the evidence on determinants shaping the optimal selection of vascular access devices, using the COM-B behavioural model as the theoretical framework.
Systematic review of studies which explore decision-making at the time of selecting vascular access devices.
The Medline, Web of Science, Scopus and EbscoHost databases were interrogated to extract manuscripts published up to 31 December 2021, in English or Spanish.
Among 16 studies included in the review, 8/16 (50%) focused on physical capability, 8/16 (50%) psychological capability, 15/16 (94%) physical opportunity, 12/16 (75%) social opportunity, 1/16 (6%) reflective motivation and 0/16 (0%) automatic motivation. This distribution represents a large gap in terms of interpersonal and motivational influences and cultural and social environments. Specialist teams (teams created for the insertion or maintenance of vascular access devices) are core for the optimal selection of vascular access devices (75% physical capability, 62% psychological capability, 80% physical opportunity and 100% social opportunity).
Specialist teams predominantly lead all actions undertaken towards the optimal selection of vascular access devices. These actions primarily centre on assessing opportunity and capability, often overlooking motivational influences and social environments.
A more implementation-focused professional approach could decrease inequity among patients and complications associated with vascular access devices.
Optimal selection of vascular access devices is the primary strategy in mitigating complications associated with these devices. There is a significant disparity between interpersonal and motivational influences and the cultural and social environments. Furthermore, specialized teams play a pivotal role in facilitating the optimal selection of vascular access devices. The study can benefit institutions concerned about vascular access devices and their complications.
This review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.
No Patient or Public Contribution.
Optimal selection of vascular devices remains a growing yet unresolved issue with costly clinical and patient experience impact. Interventions to improve the optimal selection of vascular devices have focused on training, education, algorithms and implementation of specialist vascular teams; alas, these approaches do not seem to have substantially addressed the problem. Specialist vascular teams should evolve and pivot towards leading the implementation of quality improvement interventions, optimizing resource use and enhancing their role.
To assess the level of mental workload (MWL) of intensive care unit (ICU) nurses in performing different human-machine tasks and examine the predictors of the MWL.
A cross-sectional questionnaire study.
Between January and February 2021, data were collected from ICU nurses (n = 427) at nine tertiary hospitals selected from five (east, west, south, north, central) regions in China through an electronic questionnaire, including sociodemographic questions, the National Aeronautics and Space Administration Task Load Index, General Self-Efficacy Scale, Difficulty-assessing Index System of Nursing Operation Technique, and System Usability Scale. Descriptive statistics, t-tests, one-way ANOVA and multiple linear regression models were used.
ICU nurses experienced a medium level of MWL (score 52.04 on a scale of 0–100) while performing human-machine tasks. ICU nurses' MWL was notably higher in conducting first aid and life support tasks (using defibrillators or ventilators). Predictors of MWL were task difficulty, system usability, professional title, age, self-efficacy, ICU category, and willingness to study emerging technology actively. Task difficulty and system usability were the strongest predictors of nearly all typical tasks.
ICU nurses experience a medium MWL while performing human-machine tasks, but higher mental, temporal, and effort are perceived compared to physical demands. The MWL varied significantly across different human-machine tasks, among which are significantly higher: first aid and life support and information-based human-machine tasks. Task difficulty and system availability are decisive predictors of MWL.
This is the first study to investigate the level of MWL of ICU nurses performing different representative human-machine tasks and to explore its predictors, which provides a reference for future research. These findings suggest that healthcare organizations should pay attention to the MWL of ICU nurses and develop customized management strategies based on task characteristics to maintain a moderate level of MWL, thus enabling ICU nurses to perform human-machine tasks better.
No patient or public contribution.
To assess student nurses understanding and skills in the application of antimicrobial stewardship knowledge to practice.
Quantitative.
Cross-sectional survey.
Five hundred and twenty three student nurses responded across 23 UK universities. Although students felt prepared in competencies in infection prevention and control, patient-centred care and interprofessional collaborative practice, they felt less prepared in competencies in which microbiological knowledge, prescribing and its effect on antimicrobial stewardship is required. Problem-based learning, activities in the clinical setting and face-to-face teaching were identified as the preferred modes of education delivery. Those who had shared antimicrobial stewardship teaching with students from other professions reported the benefits to include a broader understanding of antimicrobial stewardship, an understanding of the roles of others in antimicrobial stewardship and improved interprofessional working.
There are gaps in student nurses' knowledge of the basic sciences associated with the antimicrobial stewardship activities in which nurses are involved, and a need to strengthen knowledge in pre-registration nurse education programmes pertaining to antimicrobial management, specifically microbiology and antimicrobial regimes and effects on antimicrobial stewardship. Infection prevention and control, patient-centred care and interprofessional collaborative practice are areas of antimicrobial stewardship in which student nurses feel prepared. Interprofessional education would help nurses and other members of the antimicrobial stewardship team clarify the role nurses can play in antimicrobial stewardship and therefore maximize their contribution to antimicrobial stewardship and antimicrobial management.
There is a need to strengthen knowledge from the basic sciences, specifically pertaining to antimicrobial management, in pre-registration nurse education programmes.
No patient or public contribution.
Nurses must protect health through understanding and applying antimicrobial stewardship knowledge and skills (Nursing and Midwifery Council 2018); however, there is no research available that has investigated nurses understanding and skills of the basic sciences associated with the antimicrobial stewardship activities in which they are involved.
There are gaps in student nurses' knowledge of the basic sciences (specifically microbiology and prescribing) associated with the antimicrobial stewardship activities in which nurses are involved. Problem-based learning, and activities in the clinical setting, were reported as useful teaching methods, whereas online learning, was seen as less useful.
Pre-registration nurse education programmes.
The relevant reporting method has been adhered to, that is, STROBE.
To develop a trigger tool for parents and lay caregivers of children with medical complexity (CMC) at home and to validate its content.
This was a multi-method study, using qualitative data, a Delphi method and a concept mapping approach.
A three-round electronic Delphi was performed from December 2021 to April 2022 with a panel of 23 expert parents and 30 healthcare providers, supplemented by a preliminary qualitative exploration of children's signs of deterioration and three consensus meetings to develop the PArents' Trigger Tool for Children with Medical Complexity (PAT-CMC). Cognitive interviews with parents were performed to assess the comprehensiveness and comprehensibility of the tool. The COREQ checklist, the COSMIN guidelines and the CREDES guidelines guided the reporting respectively of the qualitative study, the development and content validity of the trigger tool and the Delphi study.
The PAT-CMC was developed and its content validated to recognize clinical deterioration at home. The tool consists of 7 main clusters of items: Breathing, Heart, Devices, Behaviour, Neuro-Muscular, Nutrition/Hydration and Other Concerns. A total of 23 triggers of deterioration were included and related to two recommendations for escalation of care, using a traffic light coding system.
Priority indicators of clinical deterioration of CMC were identified and integrated into a validated trigger tool designed for parents or other lay caregivers at home, to recognize signs of acute severe illness and initiate healthcare interventions.
The PAT-CMC was developed to guide families in recognizing signs of deterioration in CMC and has potential for initiating an early escalation of care. This tool may also be useful to support education provided by healthcare providers to families before hospital discharge.
Parents of CMC were directly involved in the selection of relevant indicators of children's clinical deterioration and the development of the trigger tool. They were not involved in the design, conducting, reporting or dissemination plans of this research.
To understand the status quo of multiprofessional and multidisciplinary collaboration for early mobilization of mechanically ventilated patients in Chinese ICUs and identify any factors that may influence this practice.
A multi-centre cross-sectional survey.
From October to November 2022, the convenience sampling method was used to select ICU multiprofessional and multidisciplinary early mobility members (including physicians, nurses and physiotherapists) from 27 tertiary general hospitals in 14 provinces, cities and autonomous regions of China. They were asked to complete an author-developed questionnaire on the status of collaboration and the Assessment of Inter-professional Team Collaboration Scale. A multiple linear regression model was used to analyse the factors associated with the level of collaboration.
Physicians, nurses and physiotherapists mostly suffered from the lack of normative protocols, unclear division of responsibilities and unclear multiprofessional and multidisciplinary teams when using a collaborative approach to early activities. Multiple linear regression analysis showed that the number of ICU patients managed, the existence of norms and processes, the attitude of colleagues around them, the establishment of a team, communication methods and activity leaders were significant influences on the level of collaboration among members of the multiprofessional and multidisciplinary early activities.
The collaboration of multiprofessional and multidisciplinary early activity members for mechanically ventilated patients in the ICU remains unclear, and the collaboration strategy needs to be constructed and improved, taking into account China's human resources and each region's economic development level.
This study investigates the collaboration status of multiprofessional and multidisciplinary activity members from the perspective of teamwork, analyses the reasons affecting the level of collaboration and helps to develop better teamwork strategies to facilitate the implementation of early activities.
The participants in this study were multiprofessional and multidisciplinary medical staff who performed early activities for ICU patients.
Early identification and intervention of the frailty of the elderly will help lighten the burden of social medical care and improve the quality of life of the elderly. Therefore, we used machine learning (ML) algorithm to develop models to predict frailty risk in the elderly.
A prospective cohort study.
We collected data on 6997 elderly people from Chinese Longitudinal Healthy Longevity Study wave 6–7 surveys (2011–2012, 2014). After the baseline survey in 1998 (wave 1), the project conducted follow-up surveys (wave 2–8) in 2000–2018. The osteoporotic fractures index was used to assess frailty. Four ML algorithms (random forest [RF], support vector machine, XGBoost and logistic regression [LR]) were used to develop models to identify the risk factors of frailty and predict the risk of frailty. Different ML models were used for the prediction of frailty risk in the elderly and frailty risk was trained on a cohort of 4385 elderly people with frailty (split into a training cohort [75%] and internal validation cohort [25%]). The best-performing model for each study outcome was tested in an external validation cohort of 6997 elderly people with frailty pooled from the surveys (wave 6–7). Model performance was assessed by receiver operating curve and F2-score.
Among the four ML models, the F2-score values were similar (0.91 vs. 0.91 vs. 0.88 vs. 0.90), and the area under the curve (AUC) values of RF model was the highest (0.75), followed by LR model (0.74). In the final two models, the AUC values of RF and LR model were similar (0.77 vs. 0.76) and their accuracy was identical (87.4% vs. 87.4%).
Our study developed a preliminary prediction model based on two different ML approaches to help predict frailty risk in the elderly.
The presented models from this study can be used to inform healthcare providers to predict the frailty probability among older adults and maybe help guide the development of effective frailty risk management interventions.
Detecting frailty at an early stage and implementing timely targeted interventions may help to improve the allocation of health care resources and to reduce frailty-related burden. Identifying risk factors for frailty could be beneficial to provide tailored and personalized care intervention for older adults to more accurately prevent or improve their frail conditions so as to improve their quality of life.
The study has adhered to STROBE guidelines.
No patient or public contribution.
To examine the main effects and interaction effects of outcome expectations (e.g., anticipated satisfactory salary and benefits), nurse identity (a sense of membership in the nursing profession), and information-access efficiency of the electronic medical record system (how the system enables nurses to quickly retrieve the needed information) on nurses' retention.
This study uses a cross-sectional survey and adopts proportionate random sampling to recruit a representative sample of nurses of a medical centre in Taiwan.
This study successfully obtained completed questionnaires from 430 nurses during December 2021 to January 2022. Data are analysed by using hierarchical regressions.
Positive outcome expectations and identification as a member in the nursing profession are associated with retention. Information-access efficiency strengthens the link between outcome expectations and retention, while nurse identity weakens this link.
Outcome expectations can help retain nurses, particularly those who perceive high levels of information-access efficiency and possess weak nurse identity. That is, outcome expectations have a complementary role with nurse identity in retaining nurses.
Nurse managers should devise means to build positive outcome expectations for nurses. In addition, either strengthening nurses' identification with the nursing profession or improving the information-access efficiency of the electronic medical system may also help retain nurses.
This study examined how to transform outcome expectation to nurse retention, offering nurse managers to devise new means to retain nurses.
STROBE statement was chosen as EQUATOR checklist.
No patient or public contribution.
To analyse the concept of eating experiences in people living with dementia.
Rodgers' evolutionary method of concept analysis was used as a framework for the paper.
The literature was searched using electronic databases PubMed, Google Scholar, CINHAL, PsycInfo, Web of Science, Embase and Elsevier databases. These databases cover a variety of disciplines, including but not limited to nursing, medicine and occupational therapy. The relevant literature published from 1989 to April 2023 was thoroughly examined. Any quantitative or qualitative studies published in English focused on eating or dining experiences in people with dementia were included.
Rodgers' evolutionary method for concept analysis was used. The attributes, antecedents, consequences and case examples of the concept were identified.
Twenty-two articles met the inclusion criteria, identifying key attributes of self-connection, the special journey of life and self-interpretation. Antecedents, as framed by the socio-ecological model, were categorized to represent intrapersonal (personal preferences, individual culture, mealtime routines), interpersonal (social interaction) and environmental (dining room environment, policies) factors. Consequences were divided into external (nutritional health, physical health and quality of life) and internal (personhood, autonomy and independence, dignity and feeling valued and mental well-being) domains.
A theoretical definition and conceptual model of eating experiences in people living with dementia was developed. The identified attributes, antecedents and consequences can be utilized in nursing education, research and intervention approaches.
This article allows nurses and other healthcare professionals to better understand people living with dementia through the relationship between eating and interpersonal, intrapersonal and environmental aspects to develop personalized interventions and care strategies to achieve an optimal quality of life.
Not applicable.
To examine studies involving the impact of telerehabilitation (TLR), tele-training and tele-support on the dyad stroke survivor and caregiver in relation to psychological, physical, social and health dimensions.
A systematic review was conducted.
The following electronic databases were consulted until September 2023: PsycInfo, CINAHL, Eric, Ovid, PubMed, Scopus, Cochrane Central and Web of Science.
It was conducted and reported following the checklists for Reviews of PRISMA 2020 Checklist. Critical evaluation of the quality of the studies included in the review was performed with the Joanna Briggs Institute Checklists.
A total of 2290 records were identified after removing duplicates, 501 articles were selected by title and abstract and only 21 met the inclusion criteria. It included 4 quasi-experimental studies, 7 RCTs, 1 cohort study and 9 qualitative studies. The total number of participants between caregivers and stroke survivors was 1697, including 858 stroke survivors and 839 caregivers recruited from 2002 to 2022. For a total of 884 participants who carried out TLR activities in the experimental groups,11 impact domains were identified: cognitive/functional, psychological, caregiver burden, social, general health and self-efficacy, family function, quality of life, healthcare utilization, preparedness, quality of care and relationship with technology.
The results support the application of telehealth in the discharge phase of hospitals and rehabilitation centres for stroke survivors and caregivers. TLR could be considered a substitute for traditional rehabilitation only if it is supported by a tele-learning programme for the caregiver and ongoing technical, computer and health support to satisfy the dyad's needs.
Designing a comprehensive telemedicine programme upon the return home of the dyad involved in the stroke improves the quality of life, functional, psychological, social, family status, self-efficacy, use of health systems and the dyad's preparation for managing the stroke.
No patient or public contribution.
This study explored the knowledge and confidence levels of nursing academics in teaching both the theories and practical skills of digital health in undergraduate nursing programs.
A cross-sectional study.
A structured online survey was distributed among nursing academics across Australian universities. The survey included two sections: (1) the participants' demographics and their nursing and digital health teaching experience; (2) likert scales asking the participants to rate their knowledge and confidence to teach the theories and practical skills of four main themes; digital health technologies, information exchange, quality and digital professionalism.
One hundred and nineteen nursing academics completed part one, and 97 individuals completed part two of the survey. Only 6% (n = 5) of the participants reported having formal training in digital health. Digital health was mainly taught as a module (n = 57, 45.9%), and assessments of theory or practical application of digital health in the nursing curriculum were uncommon, with 79 (69.9%) responding that there was no digital health assessment in their entry to practice nursing programs. Among the four core digital health themes, the participants rated high on knowledge of digital professionalism (22.4% significant knowledge vs. 5.9% no knowledge) but low on information exchange (30% significant knowledge vs. 28.3% no knowledge). Statistically significant (p < .001) associations were found between different themes of digital health knowledge and the level of confidence in teaching its application. Nursing academics with more than 15 years of teaching experience had a significantly higher level of knowledge and confidence in teaching digital health content compared with those with fewer years of teaching experience.
There is a significant gap in nursing academics' knowledge and confidence to teach digital health theory and its application in nursing. Nursing academics need to upskill in digital health to prepare the future workforce to be capable in digitally enabled health care settings.
Nursing academics have a limited level of digital knowledge and confidence in preparing future nurses to work in increasingly technology-driven health care environments. Addressing this competency gap and providing sufficient support for nursing academics in this regard is essential.
What problem did the study address? Level of knowledge and confidence among nursing academics to teach digital health in nursing practice. What were the main findings? There is a significant gap in nursing academics' knowledge and confidence to teach digital health theory and its application in nursing. Where and on whom will the research have an impact? Professional nursing education globally.
The STROBE guideline was used to guide the reporting of the study.
The call for participation from nursing academics across Australia provided an introductory statement about the project, its aim and scope, and the contact information of the principal researcher. A participant information sheet was shared with the call providing a detailed explanation of participation. Nursing academics across Australia participated in the survey through the link embedded in the participation invite.
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