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To describe the process of breastfeeding relationships among stay-at-home mother and infant dyads at 1, 3, 5 and 6 months.
A longitudinal qualitative online survey design was used.
Data were obtained at 1, 3, 5 and 6 months from 26 breastfeeding mothers who stayed home with their infants and directly breastfed at least once a day for the first 6 months between June 2022 and August 2023. Mothers' written responses to 3 open-ended questions were analysed to assess breastfeeding experiences at home, thoughts/comments while directly breastfeeding and breastfeeding concerns/problems and strategies they used. Based on grounded theory, inductive content analysis was used to analyse the data. Trustworthiness of results was established by coding to consensus, formal peer debriefing and maintaining an audit trail.
‘Breastfeeding Relationships at Home,’ the core construct, was identified and organized the process of breastfeeding relationships into 5 domains: (1) mothers' emotional well-being while breastfeeding, (2) infant-led feeding, (3) alternatives to breastfeeding, (4) evaluation of breastfeeding and (5) changes in breastfeeding as infants grow older.
Breastfeeding is not simply about feeding breast milk but also involves nurturing and developing a relationship between mother and infant. Across the domains, mutual responsiveness, a central element of the breastfeeding relationship was clear. Mothers who were committed to breastfeeding with embedded infant suckling reached emotional well-being in return for their engagement which has potential to reduce maternal stress and prevent postpartum depression.
Findings from the current study add to nurses' knowledge about the relationship building process between stay-at-home mothers and their infants in the first 6 months of breastfeeding during the COVID-19 pandemic. Nurses must remain sensitive to aid the development of breastfeeding relationships in the home environment to maximize mutual responsiveness.
No patients or public involved.
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.
To explore what Internet-based breastfeeding peer support offers to breastfeeding parents.
Integrative review.
A systematic literature search was conducted in March 2024 using the following electronic databases: CINAHL, The Cochrane Library, PubMed/MEDLINE and PsycINFO. Database searches yielded 717 results. Two researchers removed the duplicates (n = 256) and screened the remaining titles (n = 461), abstracts (n = 197) and full texts (n = 60) independently. Eventually, 19 studies were included in the review. The chosen studies had qualitative (n = 11), quantitative (n = 6), or mixed methods designs (n = 2) and were published between 2015 and 2024. Qualitative content analysis was conducted.
The main categories were supplying support that is responsive to the needs of parents and belonging to a breastfeeding community. The parents looked for and received breastfeeding support, advice, information, emotional support, reassurance and access to shared experiences from various online breastfeeding peer support groups. The support groups helped them in their breastfeeding decisions, thus making a difference in their breastfeeding experience. The support groups created breastfeeding communities for these parents and they were able to bond with others, feel like they belonged and share experiences. Additionally, these breastfeeding communities helped to normalize various breastfeeding practices.
Breastfeeding peer support groups can offer parents the support and guidance they seek and a sense that they are part of a breastfeeding community. However, it is vital these groups are efficiently moderated to ensure the advice parents receive is evidence-based and the support is encouraging.
These findings show that well-moderated online breastfeeding peer support can offer parents high-quality support. It is essential for health care professionals to be aware of the various options available in order to recommend high-quality support groups for breastfeeding parents.
PRISMA.
This was an integrative review therefore no patient or public contribution was necessary.
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.
Social media use has grown in importance and prevalence, with its estimated number of users at 4.9 billion worldwide. Social media use research has revealed positive and negative impacts on users' mental health and well-being. However, such impacts among adults have not been examined in any reviews.
A scoping review was conducted based on the framework by Arksey and O'Malley and reported based on the PRISMA-ScR guidelines. Eight databases were searched from 2005 to December 2021. Articles were included after being reviewed by three independent teams, with discrepancies resolved through consensus with the senior author. Publication-related information (i.e., authors, year of publication, aims, study population, methodology, interventions, comparisons, outcome measures and key findings) were extracted from each study. Thematic analysis was conducted to answer the research questions.
Among the 114 eligible articles, young adults (69.6%) represented the main age group. Most studies (78.6%) focused on the negative impacts of social media use on mental health and well-being, with nearly a third (32.1%) assessing such impacts on depression. Notably, this scoping review found that more than three-quarters (78.6%) of the included studies revealed that excessive and passive social media use would increase depression, anxiety, mood, and loneliness. Nevertheless, a third (33.0%) also reported positive impacts, where positive and purposeful use of social media would contribute to improvements in mental health and well-being, such as increased perceived social support and enjoyment.
This review has provided an overview of the existing knowledge on how social media use would affect adults and identified areas of research that merit investigations in future studies. More attention should be given to maximizing the positive impacts of social media use on mental health and well-being among adults.
In order to be positioned to address the increasing strain of burnout and worsening nurse shortage, a better understanding of factors that contribute to nursing workload is required. This study aims to examine the difference between order-based and clinically perceived nursing workloads and to quantify factors that contribute to a higher clinically perceived workload.
A retrospective cohort study was used on an observational dataset.
We combined patient flow, nurse staffing and assignment, and workload intensity data and used multivariate linear regression to analyze how various shift, patient, and nurse-level factors, beyond order-based workload, affect nurses' clinically perceived workload.
Among 53% of our samples, the clinically perceived workload is higher than the order-based workload. Factors associated with a higher clinically perceived workload include weekend or night shifts, shifts with a higher census, patients within the first 24 h of admission, and male patients.
The order-based workload measures tended to underestimate nurses' clinically perceived workload. We identified and quantified factors that contribute to a higher clinically perceived workload, discussed the potential mechanisms as to how these factors affect the clinically perceived workload, and proposed targeted interventions to better manage nursing workload.
By identifying factors associated with a high clinically perceived workload, the nurse manager can provide appropriate interventions to lighten nursing workload, which may further reduce the risk of nurse burnout and shortage.
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.
To evaluate registered nurses' perceptions of whether the mandated use of the early warning system vital signs tool impacts the development of nurses' higher-order thinking skills.
A concurrent mixed methods study design.
Using an online survey, registered nurses' perceptions were elucidated on whether early warning system algorithmic tools affected the development of their higher-order thinking. Likert-type matrix questions with additional qualitative fields were used to obtain information on nurse's perceptions of the tool's usefulness, clinical confidence in using the tool, compliance with escalation protocols, work environment and perceived compliance barriers.
Most of the 305 (91%) participants included in the analysis had more than 5 years of nursing experience. Most nurses supported the early warning tool and were happy to comply with escalation protocols if the early warning score concurred with their assessment of the patient (63.6%). When the score and the nurse's higher-order thinking did not align, some had the confidence to override the escalation protocol (40.0%), while others omitted (69.4%) or inaccurately documented vital signs (63.3%) to achieve the desired score. Very few nurses (3.6%) believe using early warning tools did not impede the development of higher-order thinking.
Although experienced nurses appreciate the support of early warning tools, most value patient safety above the tools and rely on their higher-order thinking. The sustained development and use of nurses' higher-order thinking should be encouraged, possibly by adding a critical thinking criterion to existing algorithmic tools.
The study has implications for all nurses who utilize algorithmic tools, such as early warning systems, in their practice. Relying heavily on algorithmic tools risks impeding the development of higher-order thinking. Most experienced nurses prioritize their higher-order thinking in decision-making but believe early warning tools can impede higher-order thinking.
Registered nurses participated as survey respondents.
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.
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.
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.
Implementation science helps generate approaches to expedite the uptake of evidence in practice. Mixed methods are commonly used in implementation research because they allow researchers to integrate distinct qualitative and quantitative methods and data sets to unravel the implementation process and context and design contextual tools for optimizing the implementation. To date, there has been limited discussion on how to ensure rigor in mixed methods implementation research.
To present Particularity, Engagement, Actionable Inferences, Reflexivity, and Legitimation (PEARL) as a practical tool for understanding various components of rigor in mixed methods implementation research.
This methodological discussion is based on a nurse-led mixed methods implementation study. The PEARL tool was developed based on an interpretive, critical reflection, and purposive reading of selected literature sources drawn from the researchers' knowledge, experiences of designing and conducting mixed methods implementation research, and published methodological papers about mixed methods, implementation science, and research rigor.
An exemplar exploratory sequential mixed methods study in nursing is provided to illustrate the application of the PEARL tool. The proposed tool can be a useful and innovative tool for researchers and students intending to use mixed methods in implementation research. The tool offers a straightforward approach to learning the key rigor components of mixed methods implementation research for application in designing and conducting implementation research using mixed methods.
Rigorous implementation research is critical for effective uptake of innovations and evidence-based knowledge into practice and policymaking. The proposed tool can be used as the means to establish rigor in mixed methods implementation research in nursing and health sciences.
As the awareness on violent deaths from guns, drugs, and suicides emerges as a public health crisis in the United States, attempts to prevent injury and mortality through nursing research are critical. The National Violent Death Reporting System provides public health surveillance of US violent deaths; however, understanding the National Violent Death Reporting System's research utility is limited. The purpose of our rapid review of the 2019-2023 literature was to understand to what extent artificial intelligence methods are being used with the National Violent Death Reporting System. We identified 16 National Violent Death Reporting System artificial intelligence studies, with more than half published after 2020. The text-rich content of National Violent Death Reporting System enabled researchers to center their artificial intelligence approaches mostly on natural language processing (50%) or natural language processing and machine learning (37%). Significant heterogeneity in approaches, techniques, and processes was noted across the studies, with critical methods information often lacking. The aims and focus of National Violent Death Reporting System studies were homogeneous and mostly examined suicide among nurses and older adults. Our findings suggested that artificial intelligence is a promising approach to the National Violent Death Reporting System data with significant untapped potential in its use. Artificial intelligence may prove to be a powerful tool enabling nursing scholars and practitioners to reduce the number of preventable, violent deaths. 
FreshRSS 