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The purpose of the study was to describe social and healthcare educators' evidence-based healthcare competence and explore the associated factors.
A descriptive, cross-sectional study was carried out.
The research spanned 5 universities, 19 universities of applied sciences, and 10 vocational colleges in Finland from September to December 2022. Social and healthcare educators (n = 256), of which 21 worked at universities, 176 worked at universities of applied sciences, and 49 worked at vocational colleges. Data collection employed a self-assessed instrument that was designed to measure evidence-based healthcare competence based on the JBI Model of Evidence-based Healthcare. Competence profiles were formed using K-cluster grouping analysis.
The educators' self-evaluations of their level of evidence-based healthcare competence were generally at a satisfactory level, with subsequent analyses identifying four distinct profiles of evidence-based healthcare competence. The profiles demonstrated statistically significant differences in terms of evidence synthesis and evidence transfer competencies. The factors associated with evidence-based healthcare competence included level of education, the year in which a professional had obtained their highest degree, current organization of employment, and participation in continuing education.
Educators require various types of support for developing high levels of evidence-based healthcare competence. The identification of distinct competence profiles can be pivotal to providing educators with training that is tailored to their exact needs to provide an individualized learning path.
Educators value the role of evidence in teaching, which reinforces the need to integrate aspects of the JBI Model of evidence-based healthcare into educators' competencies. Aspects of the JBI Model of evidence-based healthcare have not been holistically measured, with only certain components of the model considered separately. Educators need to better understand the global healthcare environment so they can identify research gaps and subsequently develop healthcare systems through their educational role. Higher academic education, work experience, organizational support, and continuous education play essential roles in the development of educators' evidence-based healthcare competence.
Educators generally have high levels of competence in evidence-based healthcare. Educators have mastered the different components of the JBI model of evidence-based healthcare but need to improve in areas such as the transfer and implementation of evidence.
Determining evidence-based healthcare competence profiles for educators can be used to provide individualized learning paths for the development of evidence-based healthcare competence. Educators need to further develop their competence in evidence-based healthcare to ensure successful implementation and high-quality education in the future.
No patient or public contribution.
Whereas voice behaviour has been identified as a key precursor to safe and high-quality patient care, little is known about how voice relates to key workforce outcomes. This study aimed to investigate the relationships between certified nursing assistants' perceived promotive voice behaviour (speaking up with suggestions for future improvement) and prohibitive voice behaviour (speaking up about problems or potentially harmful situations) and their self-reported levels of job satisfaction, work engagement and turnover intentions.
Dutch certified nursing assistants were recruited for a two-wave survey study through non-random convenience sampling. The final sample contained 152 respondents. The data were analysed using multiple linear regression analyses. In all analyses, the dependent variable at time one was controlled for.
Certified nursing assistants' promotive and prohibitive voice behaviour at time one were found to be positively related to their level of job satisfaction at time two while controlling for job satisfaction at time one. No relationships with work engagement or occupational turnover intentions were found.
While previous research has found positive effects of voice on patient safety outcomes and team and organizational improvements in care organizations, we demonstrate that voice is also related to a key workforce outcome, that is, certified nursing assistants' job satisfaction.
Recognizing the interplay between voice behaviour and job satisfaction underscores the importance of creating work environments where certified nursing assistants feel able and willing to make their voices heard—with ideas and suggestions, as well as information regarding problems and concerns.
Three certified nursing assistants have contributed to the development of the survey.
To investigate spillover effects of organizational support for patient and workplace safety on safety outcomes and to examine the mediating role of safety compliance in these relationships.
A cross-sectional, correlational survey design.
This study analysed data from 1255 nurses in 34 Korean hospitals. A structured questionnaire was used including items from the Hospital Survey on Patient Safety Culture and Safety Compliance scales. Data were collected between February and June 2022. We employed structural equation modelling (SEM) for analysis with a significance level set at 0.05.
Organizational support for patient and workplace safety showed direct impacts on patient and workplace safety outcomes. Findings supported our hypotheses regarding spillover effects, as organizational support for patient safety was related to enhanced workplace safety and organizational support for workplace safety was associated with improved patient safety. SEM analysis showed safety compliance's mediating role. When the distribution of serial indirect effects was examined, three out of eight indirect pathways were statistically significant.
Improving organizational support for patient safety can lead to better workplace safety outcome, and enhancing support for workplace safety can result in better patient safety outcome. Given this mutually beneficial relationship, healthcare organizations should simultaneously promote safety in both areas rather than focusing on just one.
Study results highlight the need to recognize the interconnected nature of patient and workplace safety in order to achieve better overall safety outcomes.
This study shows that organizational safety efforts for patients and workers are interconnected and mutually beneficial. The study's results have both theoretical and practical implications in demonstrating that organizational support for both patient and workplace safety plays a strong role in promoting nurses' safety compliance and improving overall safety outcomes.
STROBE checklist.
No patient or public contribution.
This study aimed to gain a better understanding of nursing/midwifery students' perspectives on a pedagogy of caring and online learning during the COVID-19 pandemic. In addition, it aimed to determine if the COVID-19 pandemic impacted students' perceptions and experience of online learning and students' desire to enter the nursing/midwifery workforce.
Mixed methods.
A multi-centre cross-sectional survey of Australian nursing and midwifery students was undertaken to explore students’ experience of learning during the COVID-19 pandemic.
There are several key findings from this study that may be relevant for the future delivery of undergraduate health education, students transitioning to practice and healthcare workforce retention. The study found that although students were somewhat satisfied with online learning during COVID-19, students reported significant issues with knowledge/skill acquisition and barriers to the learning process. The students reported feeling less prepared for practice and identified how clinical staff were unable to provide additional guidance and support due to increased workloads and stress. The textual responses of participants highlighted that connection/disconnection, empathy and engagement/disengagement had an impact on learning during COVID-19.
Connection, engagement and isolation were key factors that impacted nursing students’ online learning experiences. In addition, graduates entering the workforce felt less prepared for entry into practice due to changes in education delivery during COVID-19 that they perceived impacted their level of clinical skills, confidence and ability to practice as new graduate nurses/midwives.
Not applicable.
Attention must be given to the transition of new graduate nurses and midwives whose education was impacted by pandemic restrictions, to support their professional career development and to ensure retention of future healthcare workforce. Connection, engagement and isolation were key factors that impacted nursing students' online learning experiences. Educators should consider how connection and engagement can be actively embedded in the online learning environment.
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.
To analyse whether the harmful effect of job demands on recovery can be alleviated by healthy lifestyle, psychological recovery experiences and job resources. We also describe their prevalence among employees in different types of eldercare service and in the health and social services sector in general.
Cross-sectional study.
The data were collected using a self-report survey in 2020 in the health and social services sector organizations (n = 4478). Employees were classified as the following service types: general health and social services (N = 3225), home care (N = 452), service housing (N = 550) and outpatient and ward care (N = 202). The data were analysed using percentages, cross-tabulations and logistic regression analysis.
Poor recovery, high job demands, low appreciation and low autonomy in terms of worktime and breaks were more prevalent in eldercare. Employers could alleviate the risk of high job demands by offering job resources—appreciation, autonomy in terms of worktimes and breaks—and motivating employees to maintain healthy lifestyle habits and use recovery experiences such as relaxation.
The study emphasizes the importance of appreciation in the health and social services sector context. Even with moderate levels of appreciation employers can protect employees from poor recovery from work in the demanding health and social services work environment.
Eldercare employees face continuous and accumulating work strain at the same time as the sector struggles against a labour shortage. One way to prevent the harmful consequences of strain is to enhance recovery from work.
Employers could alleviate the risk of high job demands and poor recovery by showing appreciation and giving employees more autonomy in terms of work time and breaks during the workday. This could also motivate employees to keep up healthy lifestyle habits and use their recovery experiences. Results are important especially in the daily management of HSS work.
Managers in the health and social services sector and eldercare can use these findings to promote recovery from work.
STROBE checklist.
No patient or public contribution.
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.
Nurses, assuming a wide range of clinical and patient care responsibilities in a healthcare team, are highly susceptible to direct and indirect exposure to traumatic experiences. However, literature has shown that nurses with certain traits developed a new sense of personal strength in the face of adversity, known as post-traumatic growth (PTG). This review aimed to synthesize the best available evidence to evaluate personal and work-related factors associated with PTG among nurses.
Mixed studies systematic review.
Studies examining factors influencing PTG on certified nurses from all healthcare facilities were included. Published and unpublished studies were identified by searching 12 databases from their inception until 4th February 2023. Two reviewers independently screened, appraised, piloted a data collection form, and extracted relevant data. Meta-summary, meta-synthesis, meta-analysis, as well as subgroup and sensitivity analyses were performed. Integration of results followed result-based convergent design.
A total of 98 studies with 29,706 nurses from 18 countries were included. These included 49 quantitative, 42 qualitative, and seven mixed-methods studies. Forty-six influencing factors were meta-analyzed, whereas nine facilitating factors were meta-summarized. A PTG conceptual map was created. Four constructs emerged from the integration synthesis: (a) personal system, (b) work-related system, (c) event-related factors, and (d) cognitive transformation.
The review findings highlighted areas healthcare organizations could do to facilitate PTG in nurses. Practical implications include developing intervention programs based on PTG facilitators. Further research should examine the trend of PTG and its dynamic response to different nursing factors.
Research on trauma-focused therapies targeting nurses' mental health is lacking. Therefore, findings from this review could inform healthcare organizations on the PTG phenomenon and developing support measures for nurses through healthcare policies and clinical practice.
Populations are ageing, making the quality of old age a crucial issue. Some adversity in old age, such as loss of loved one or loss of physical function, is often experienced, as is the need for recovery from such adversity. Resilience in later life has become an important topic and has accumulated much empirical research. However, the research has mainly centred on individual factors, such as personality, rather than social factors, such as family relationships or community engagement. There is no systematic review of the social dimensions of resilience in old age, a focus that should be especially important for policy and practice seeking to create supporting environments.
Our review comprises quantitative and qualitative empirical original English language studies, published 2013–2023, using predefined search phrases including ‘resilience’ and various terms for old age and social dimensions. Titles and abstracts are screened by the first two authors using registered exclusion criteria. Final inclusion, based on full-text reading, is decided using registered inclusion criteria, and verified by co-authors. Qualitative articles are read by authors specialized in qualitative research and quantitative articles by authors specialized in quantitative research. Due to large expected heterogeneity, meta-analysis is not conducted, but weighted effect sizes or funnel plots may be prepared if parallel quantitative studies are encountered. Qualitative studies are synthesized using meta-aggregation. The risk of bias is evaluated with applicable Joanna Briggs Institute checklists for each study design. A narrative synthesis brings together the qualitative and quantitative studies.
Methodological strengths and weaknesses of the included studies are reported to assess the quality of the research. Summary of the most significant social dimensions of resilience in old age is prepared, emphasizing interactions between contexts, stressors, mechanisms and outcomes; and research gaps are identified.
Protocol is registered in PROSPERO (CRD42023412532).
The objective of this scoping review was to survey the literature on the use of AI/ML applications in analyzing inpatient EHR data to identify bundles of care (groupings of interventions). If evidence suggested AI/ML models could determine bundles, the review aimed to explore whether implementing these interventions as bundles reduced practice pattern variance and positively impacted patient care outcomes for inpatients with T2DM. Six databases were searched for articles published from January 1, 2000, to January 1, 2024. Nine studies met criteria and were summarized by aims, outcome measures, clinical or practice implications, AI/ML model types, study variables, and AI/ML model outcomes. A variety of AI/ML models were used. Multiple data sources were leveraged to train the models, resulting in varying impacts on practice patterns and outcomes. Studies included aims across 4 thematic areas to address: therapeutic patterns of care, analysis of treatment pathways and their constraints, dashboard development for clinical decision support, and medication optimization and prescription pattern mining. Multiple disparate data sources (i.e., prescription payment data) were leveraged outside of those traditionally available within EHR databases. Notably missing was the use of holistic multidisciplinary data (i.e., nursing and ancillary) to train AI/ML models. AI/ML can assist in identifying the appropriateness of specific interventions to manage diabetic care and support adherence to efficacious treatment pathways if the appropriate data are incorporated into AI/ML design. Additional data sources beyond the EHR are needed to provide more complete data to develop AI/ML models that effectively discern meaningful clinical patterns. Further study is needed to better address nursing care using AI/ML to support effective inpatient diabetes management. We are in a booming era of artificial intelligence, particularly with the increased availability of technologies that can help generate content, such as ChatGPT. Healthcare institutions are discussing or have started utilizing these innovative technologies within their workflow. Major electronic health record vendors have begun to leverage large language models to process and analyze vast amounts of clinical natural language text, performing a wide range of tasks in healthcare settings to help alleviate clinicians' burden. Although such technologies can be helpful in applications such as patient education, drafting responses to patient questions and emails, medical record summarization, and medical research facilitation, there are concerns about the tools' readiness for use within the healthcare domain and acceptance by the current workforce. The goal of this article is to provide nurses with an understanding of the currently available foundation models and artificial intelligence tools, enabling them to evaluate the need for such tools and assess how they can impact current clinical practice. This will help nurses efficiently assess, implement, and evaluate these tools to ensure these technologies are ethically and effectively integrated into healthcare systems, while also rigorously monitoring their performance and impact on patient care. No abstract available 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.
This study aimed to identify the main themes from exit interviews of adult patients with type 2 diabetes after completion of a diabetes education program. Eighteen participants with type 2 diabetes completed an exit interview regarding their program experience and satisfaction. Semistructured interview questions were used, and the interviews were auto-recorded. The interview transcripts were preprocessed and analyzed using four natural language processing–based text-mining techniques. The top 30 words from the term frequency and term frequency–inverse document frequency each were derived. In the N-gram analysis, the connection strength of “diabetes” and “education” was the highest, and the simultaneous connectivity of word chains ranged from a maximum of seven words to a minimum of two words. Based on the CONvergence of iteration CORrelation (CONCOR) analysis, three clusters were generated, and each cluster was named as follows: participation in a diabetes education program to control blood glucose, exercise, and use of digital devices. This study using text mining proposes a new and useful approach to visualize data to develop patient-centered diabetes education. 
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