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Home healthcare (HHC) enables patients to receive healthcare services within their homes to manage chronic conditions and recover from illnesses. Recent research has identified disparities in HHC based on race or ethnicity. Social determinants of health (SDOH) describe the external factors influencing a patient's health, such as access to care and social support. Individuals from racially or ethnically minoritized communities are known to be disproportionately affected by SDOH. Existing evidence suggests that SDOH are documented in clinical notes. However, no prior study has investigated the documentation of SDOH across individuals from different racial or ethnic backgrounds in the HHC setting. This study aimed to (1) describe frequencies of SDOH documented in clinical notes by race or ethnicity and (2) determine associations between race or ethnicity and SDOH documentation.
Retrospective data analysis.
We conducted a cross-sectional secondary data analysis of 86,866 HHC episodes representing 65,693 unique patients from one large HHC agency in New York collected between January 1, 2015, and December 31, 2017. We reported the frequency of six SDOH (physical environment, social environment, housing and economic circumstances, food insecurity, access to care, and education and literacy) documented in clinical notes across individuals reported as Asian/Pacific Islander, Black, Hispanic, multi-racial, Native American, or White. We analyzed differences in SDOH documentation by race or ethnicity using logistic regression models.
Compared to patients reported as White, patients across other racial or ethnic groups had higher frequencies of SDOH documented in their clinical notes. Our results suggest that race or ethnicity is associated with SDOH documentation in HHC.
As the study of SDOH in HHC continues to evolve, our results provide a foundation to evaluate social information in the HHC setting and understand how it influences the quality of care provided.
The results of this exploratory study can help clinicians understand the differences in SDOH across individuals from different racial and ethnic groups and serve as a foundation for future research aimed at fostering more inclusive HHC documentation practices.
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.
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.
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.
Both nurses' well-being and quality of care are top priorities of the healthcare system. Yet, there is still a gap in understanding the extent and how authentic leadership influences them. This information is needed to inform the development of effective interventions, organizational practices, and policies. Thus, this study aimed to test the mechanism by which nurses' perception of their managers' authentic leadership impacts nurses' well-being and perception of quality of care, given the role of the nursing practice environment and nurses' psychological capital.
A cross-sectional design was used.
This study recruited a random sample of 680 nurses from six hospitals in Saudi Arabia. A final sample of 415 completed the surveys, with a response rate of 61%. Structural equation modeling was performed to test the hypothesized model.
The study showed that nurses' perceptions of authentic leadership in their managers positively and directly affect their perceptions of quality of care but do not directly affect nurses' well-being. Both the nursing practice environment and psychological capital fully mediated the relationship between authentic leadership and nurses' well-being. However, the nursing practice environment partially mediated the relationship between authentic leadership and perceptions of quality of care.
The findings contribute to understanding the crucial role of authentic leaders' style in nurses' well-being and quality of care through its positive impact on the nursing practice environment and psychological capital.
Designing interventions and policies that specifically target nursing managers' authentic leadership style has implications for enhancing nurses' well-being and the quality of patient care. Institutional measures are needed to help leaders practice an authentic leadership style to create a positive nursing practice environment and cultivate nurses' psychological capital, both of which contribute to nurses' well-being and attaining a better quality of care. Further work is required to highlight the outcomes of implementing an authentic leadership style relevant to other leadership styles.
To investigate the relationship between work readiness and work well-being for newly graduated nurses and the mediating role of emotional labor and psychological capital in this relationship.
A cross-sectional survey was conducted in mainland China. A total of 478 newly graduated nurses completed the Work Readiness Scale, Emotional Labour Scale, Psychological Capital Questionnaire, and Work Well-being Scale. Descriptive statistical methods, Pearson correlation analysis, and a structural equation model were used to analyze the available data.
Newly graduated nurses' work readiness was significantly positively correlated with work well-being (r = 0.21, p < 0.01), deep acting (r = 0.11, p < 0.05), and psychological capital (r = 0.18, p < 0.01). Emotional labor and psychological capital partially mediated the relationship between work readiness and work well-being. Additionally, emotional labor and psychological capital had a chain-mediating effect on the association.
Work readiness not only affects newly graduated nurses' work well-being directly but also indirectly through emotional labor and psychological capital. These results provide theoretical support and guidance for the study and improvement of newly graduated nurses' work well-being and emphasize the importance of intervention measures to improve work readiness and psychological capital and the adoption of deep-acting emotional-labor strategies.
Nurse-reported missed care (NRMC) is considered as any significant delay or omission in provision of nursing care.
(i) Evaluate the frequency, types, and reasons for NRMC in the Post-anesthesia Care Unit (PACU). (ii) Evaluate associations between nurse demographic and workload factors with NRMC. (iii) Explore nurses' perception of NRMC in the PACU.
A cross-sectional study was conducted in the PACU in a tertiary acute care hospital over 3 months. Full-time PACU nurses were conveniently sampled to complete an anonymous survey after their daily shift over different shifts. It contained three sections: (i) nurse demographics; (ii) elements of NRMC; and (iii) reasons for NRMC. Qualitative interviews employed a semi-structured guide to explore perceptions and experiences of NRMC. Descriptive, inferential statistics, and thematic analyses were applied.
Sixty-six survey responses were collected. 48.5% of respondents indicated at least one NRMC activity. Activities more clinically sensitive were less missed. Eight nurses were interviewed. Four main themes were identified: (i) communication with patients; (ii) communication and teamwork with colleagues; (iii) dual role of documentation; and (iv) staffing inadequacy. Language barriers made communication challenging. Staff shortage exacerbates workload but effective teamwork and documentation facilitates nursing care.
Communication and staffing concerns aggravate NRMC. Teamwork and personal contentment were satisfactory. Nurses' turnover intention may worsen staffing.
Timeliness and quality of nursing care is impacted by elements such as manpower, allocation of resources, work processes, and workplace environmental or interpersonal factors such as culture and language fit. Re-evaluation of nursing resources and work processes may assist post-anesthesia care unit nurses in fulfilling their role, decreasing the prevalence of nurse-reported missed care.
Compared to other providers, nurses spend more time with patients, but the exact quantity and nature of those interactions remain largely unknown. The purpose of this study was to characterize the interactions of nurses at the bedside using continuous surveillance over a year long period.
Nurses' time and activity at the bedside were characterized using a device that integrates the use of obfuscated computer vision in combination with a Bluetooth beacon on the nurses' identification badge to track nurses' activities at the bedside. The surveillance device (AUGi) was installed over 37 patient beds in two medical/surgical units in a major urban hospital. Forty-nine nurse users were tracked using the beacon. Data were collected 4/15/19–3/15/20. Statistics were performed to describe nurses' time and activity at the bedside.
A total of n = 408,588 interactions were analyzed over 670 shifts, with >1.5 times more interactions during day shifts (n = 247,273) compared to night shifts (n = 161,315); the mean interaction time was 3.34 s longer during nights than days (p < 0.0001). Each nurse had an average of 7.86 (standard deviation [SD] = 10.13) interactions per bed each shift and a mean total interaction time per bed of 9.39 min (SD = 14.16). On average, nurses covered 7.43 beds (SD = 4.03) per shift (day: mean = 7.80 beds/nurse/shift, SD = 3.87; night: mean = 7.07/nurse/shift, SD = 4.17). The mean time per hourly rounding (HR) was 69.5 s (SD = 98.07) and 50.1 s (SD = 56.58) for bedside shift report.
As far as we are aware, this is the first study to provide continuous surveillance of nurse activities at the bedside over a year long period, 24 h/day, 7 days/week. We detected that nurses spend less than 1 min giving report at the bedside, and this is only completed 20.7% of the time. Additionally, hourly rounding was completed only 52.9% of the time and nurses spent only 9 min total with each patient per shift. Further study is needed to detect whether there is an optimal timing or duration of interactions to improve patient outcomes.
Nursing time with the patient has been shown to improve patient outcomes but precise information about how much time nurses spend with patients has been heretofore unknown. By understanding minute-by-minute activities at the bedside over a full year, we provide a full picture of nursing activity; this can be used in the future to determine how these activities affect patient outcomes.
Nurses' vigor at work profoundly impacts the quality of patient care. However, the determinants of nurses' vigor remain underexplored in the current nursing literature, and the mechanism through which these determinants exert their effects remains unclear.
This study aimed to elucidate the mediating role of psychological ownership in linking decent work to nurses' vigor at work.
A two-wave, time-lagged study was conducted to collect data from 289 nurses working across three hospitals in Port Said, Egypt, between March and June 2023. Data were collected using the Decent Work Scale, the Psychological Ownership Scale, the Shirom–Melamed Vigor Measure, on an Introductory Information Form. Mediation testing was performed using structural equation modeling.
Decent work was significantly associated with psychological ownership and vigor at work. Psychological ownership partially mediated the relationship between decent work and nurses' vigor at work.
Decent work practices are critical in fostering nurses' vigor while working, and psychological ownership plays a mediating role in this relationship.
Hospital administrators should value decent work practices, which could enhance psychological ownership, resulting in a potential improvement in nurses' vigor at work.
Systematic reviews are considered the highest level of evidence that can help guide evidence-informed decisions in nursing practice, education, and even health policy. Systematic review publications have increased from a sporadic few in 1980s to more than 10,000 systematic reviews published every year and around 30,000 registered in prospective registries.
A cross-sectional design and a variety of data sources were triangulated to identify the journals from which systematic reviews would be evaluated for adherence to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 reporting guidelines and scope. Specifically, this study used the PRISMA 2020 reporting guidelines to assess the reporting of the introduction, methods, information sources and search strategy, study selection process, quality/bias assessments, and results and discussion aspects of the included systematic reviews.
Upon review of the 215 systematic reviews published in 10 top-tier journals in the field of nursing in 2019 and 2020, this study identified several opportunities to improve the reporting of systematic reviews in the context of the 2020 PRISMA statement. Areas of priority for reporting include the following key areas: (1) information sources, (2) search strategies, (3) study selection process, (4) bias reporting, (5) explicit discussion of the implications to policy, and lastly, the need for (6) prospective protocol registration.
The use of the PRISMA 2020 guidelines by authors, peer reviewers, and editors can help to ensure the transparent and detailed reporting of systematic reviews published in the nursing literature.
Systematic reviews are considered strong research evidence that can guide evidence-based practice and even clinical decision-making. This paper addresses some common methodological and process issues among systematic reviews that can guide clinicians and practitioners to be more critical in appraising research evidence that can shape nursing practice.
Common goals for procedural sedation are to control pain and ensure the patient is not moving to an extent that is impeding safe progress or completion of the procedure. Clinicians perform regular assessments of the adequacy of procedural sedation in accordance with these goals to inform their decision-making around sedation titration and also for documentation of the care provided. Natural language processing could be applied to real-time transcriptions of audio recordings made during procedures in order to classify sedation states that involve movement and pain, which could then be integrated into clinical documentation systems. The aim of this study was to determine whether natural language processing algorithms will work with sufficient accuracy to detect sedation states during procedural sedation.
A prospective observational study was conducted.
Audio recordings from consenting participants undergoing elective procedures performed in the interventional radiology suite at a large academic hospital were transcribed using an automated speech recognition model. Sentences of transcribed text were used to train and evaluate several different NLP pipelines for a text classification task. The NLP pipelines we evaluated included a simple Bag-of-Words (BOW) model, an ensemble architecture combining a linear BOW model and a “token-to-vector” (Tok2Vec) component, and a transformer-based architecture using the RoBERTa pre-trained model.
A total of 15,936 sentences from transcriptions of 82 procedures was included in the analysis. The RoBERTa model achieved the highest performance among the three models with an area under the ROC curve (AUC-ROC) of 0.97, an F1 score of 0.87, a precision of 0.86, and a recall of 0.89. The Ensemble model showed a similarly high AUC-ROC of 0.96, but lower F1 score of 0.79, precision of 0.83, and recall of 0.77. The BOW approach achieved an AUC-ROC of 0.97 and the F1 score was 0.7, precision was 0.83 and recall was 0.66.
The transformer-based architecture using the RoBERTa pre-trained model achieved the best classification performance. Further research is required to confirm the that this natural language processing pipeline can accurately perform text classifications with real-time audio data to allow for automated sedation state assessments.
Automating sedation state assessments using natural language processing pipelines would allow for more timely documentation of the care received by sedated patients, and, at the same time, decrease documentation burden for clinicians. Downstream applications can also be generated from the classifications, including for example real-time visualizations of sedation state, which may facilitate improved communication of the adequacy of the sedation between clinicians, who may be performing supervision remotely. Also, accumulation of sedation state assessments from multiple procedures may reveal insights into the efficacy of particular sedative medications or identify procedures where the current approach for sedation and analgesia is not optimal (i.e. a significant amount of time spent in “pain” or “movement” sedation states).
To explore predictors of spiritual well-being behaviors among heart failure patients based on Wilson and Cleary's conceptual model of health-related quality of life and to clarify the interrelationships among these variables.
A descriptive and correlational study design was used.
This study included 202 heart failure patients treated between October 2020 and July 2021. Data were collected using the Symptom Status Questionnaire-Heart Failure, Perception of Health Scale, and Functional Assessment of Chronic Illness Therapy-Spiritual Well-Being Scale. Descriptive analysis, correlation, and structural equation modeling were performed.
Characteristic factors positively affected spiritual well-being both directly (β = 0.19, p = 0.007) and indirectly (β = 0.19; CI (0.106; 0.311)). The direct relationship between health perception and spiritual well-being was significant (β = 0.83, p < 0.05). Symptom status acted as an essential mediator between model variables and spiritual well-being (β = −0.28; CI (−0.449; −0.133)). Comorbidity and symptom status also influence spiritual well-being through health perceptions. These variables explain 77% of the variance in spiritual well-being.
The modified structural equation modeling based on Wilson and Cleary's conceptual model fits well in predicting spiritual well-being in patients with heart failure. Spiritual well-being was reported to be poor, and changes in spiritual well-being were predicted by age, educational level, marital status, comorbidity, symptom status, and health perception. The results can be applied to patients with heart failure and may serve as a guide for assessment and interventions for improving spiritual well-being.
This study mainly concludes that symptom status and perceived health status affect spiritual well-being in heart failure patients. Symptom relief and improvement in perceived health status interventions may help enhance spiritual well-being in this population. Future studies are needed to investigate the different predictor's effects on spiritual well-being and examine whether symptom management and health status-enhancing interventions result in improved spiritual well-being in the heart failure population.
This study was reported following the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) checklist for cross-sectional studies.
No patient or public contribution.
Coping responses influence anxiety symptoms experienced by informal carers. However, only a few studies have investigated the longitudinal association between coping responses and anxiety symptoms in family carers. We also currently have limited knowledge on the mediating or moderating influence of subjective caregiver burden on this relationship over time. The aim of the present study was to investigate the longitudinal relationship between coping and anxiety symptoms in family carers of dependent older people, and examine the mediating or moderating role of subjective caregiver burden over time.
Prospective longitudinal study.
We recruited and enrolled participants from a probability sample of 132 family carers of older dependent relatives. We measured coping strategies, anxiety symptoms, subjective caregiver burden, and several covariates (sex and intensity of care) at baseline and at 1-year follow-up. We used generalized estimating equations with multiple imputations to examine associations over time.
Considering both direct and indirect effects through subjective burden, anxiety symptoms were positively associated with proactive coping (B = 0.13), planning (B = 0.15), self-distraction (B = 0.24), denial (B = 1.15), venting (B = 0.94) and self-blame (B = 0.90), and negatively associated with positive reframing (B = −0.83) and acceptance (B = −0.75). Subjective caregiver burden moderated the relationship between anxiety symptoms and planning, and the use of denial as a form of coping.
Our results show that subjective caregiver burden is an important moderator and mediator of the longitudinal association between coping responses and anxiety symptoms in carers.
Proactive coping and planning when subjective burden is low, self-distraction, denial, venting, and self-blame significantly increase levels of anxiety and caregiver burden in carers over time. Acceptance and positive reframing however as coping responses are associated with lower levels of anxiety and caregiver burden long-term. Our findings highlight the need for a multi-dimensional approach in future caregiving interventions.
The study was carried out to investigate the effect of motivational interviewing on peer bullying and cyberbullying among adolescents.
A parallel-group randomized controlled trial.
The study population consisted of ninth-grade (aged 14 years) high school students (n = 200). The study was completed with 48 participants (intervention: 24; control: 24). The data were collected using the Participant Information Form, the Stages of Change Questionnaire, the Peer Bullying Scale, and the Cyberbullying Scale. The intervention group received a preparatory session and five weekly motivational interviewing sessions. Instruments were administered to both groups before the intervention, at the end of the last motivational interviewing session (post-test), and at 3rd- and 6th-month follow-ups. The data were analyzed using chi-square test, independent sample t-test, and two-way mixed-design ANOVA with Bonferroni's test.
In the pre-test, no statistically significant difference was observed between the intervention and control groups regarding mean scores for peer bullying and cyberbullying (p > 0.05). Following the motivational interviewing sessions, adolescents in the intervention group had a significantly lower mean score for peer bullying and cyberbullying than the control group at the post-test and follow-up tests (p < 0.001).
The present study concluded that motivational interviewing effectively reduced peer bullying and cyberbullying behaviors among adolescents.
Nurses would implement motivational interviewing to prevent bullying behaviors in schools.
Research on aging women who are involved in prostitution is currently limited, both in terms of the number of studies conducted and their scope. Nevertheless, the available research suggests that women who are aging while involved in prostitution may confront some unique challenges. Thus, the study aims to explore the experiences of aging as narrated by Arab women in prostitution, using Intersectionality as a theoretical framework.
Interpretive phenomenological analysis was used, and semistructured interviews were performed with 12 participants.
Four themes emerged: “I'm a 45-year-old woman in the body of an 80-year-old:” Loss of physical and mental health; “There is no retirement plan in prostitution: Economic and social losses; As they were taken, my soul went with them too: The loss of the parenting experience and motherhood”; and “I'm going to get older with the disgust clinging to me:” The loss of authentic identity and dignity.
The findings demonstrate how aging serves to exacerbate overlapping forms of discrimination and marginalization.
Healthcare professionals, including nurses caring for older women in prostitution, should be aware of their unique circumstances, considering the social, economic, and healthcare obstacles they face. By being cognizant of these factors, healthcare practitioners can provide meaningful assistance in their pursuit of improved quality of life.
Individuals with serious mental illness often have persistent and disruptive symptoms. These can profoundly affect their children's lives, exposing them to adverse social and psychological conditions. Such conditions can result in traumatic lived experiences during childhood, which can carry over into adulthood, influencing their self-perceptions and shaping their attitudes toward themselves and society. To gain insights into this phenomenon, this study explored the lived experiences of adults who grew up with a parent with serious mental illness and their perceptions of their lives in adulthood.
This study used an interpretive phenomenological design.
Participants were invited to voluntarily participate in the study through a call posted on social media. Semi-structured interviews were conducted with 30 adults (age range, 20–55 years) who grew up with a parent with serious mental illness. The interviews were recorded and transcribed, and inductive thematic analysis was used to identify main and overarching themes.
The overarching theme of transition from childhood survival to adulthood survival emerged and included four main themes: (1) a traumatic childhood, (2) perceived control, (3) resilience and general self-efficacy, and (4) adult quality of life. A traumatic childhood consisted of experiences of neglect and abuse, while participants used perceived control to achieve personal growth, self-care, and care of others. Resilience and general self-efficacy emerged during the transition to adulthood and helped participants further their social status and strengthen family bonds. Lastly, adult quality of life was described as being disturbed by feelings of loneliness and being burdensome, stemming from an inherent tendency to rely solely on themselves, leading to trust issues and mental health complications. Therefore, these adults found it difficult to reach out and get help or treatment for their concerns, as they initially did not want to appear dysfunctional or in need.
This study has illuminated the lived experiences of a specific, vulnerable population that has not been intentionally explored until now. To delve into these experiences, we employed a distinctive qualitative approach, merging the interpretive phenomenological perspective with an inductive thematic analysis. This allowed for rich insight with a relatively large group of participants and enabled an in-depth exploration within this methodological framework. Consequently, this study constitutes a notable contribution to the extant body of knowledge, exploring the intricacies of personal growth and its impact on participants' quality of life. It uncovers the essence of resilience and general self-efficacy, revealing how these elements intertwine with the negative results observed. However, the study findings emphasize the need for healthcare professionals, including nurses and other caregivers, to be mindful of the long-lasting effects of the adverse experiences of children of patients with serious mental illness. Prioritizing active clinical assessment and implementing tailored interventions to address such children's specific needs and difficulties across different developmental stages is imperative. Such comprehensive and targeted approaches are crucial in providing appropriate support and promoting the well-being of these individuals.
Enhanced clinical attention in holistic psychiatric care is crucial for individuals and their relatives, especially children. Comprehensive assessments of children and adults raised by seriously mentally ill parents can enable tailored and preventive interventions, positively impacting overall quality of life.
Many long-term care facilities in the United States face significant problems with nurse retention and turnover. These challenges are attributed, at least in part, to moral distress and a negative nurse practice environment.
The purpose of the study was divided into two parts: first, to investigate the relationships among nurse practice environment, moral distress, and intent to stay; second, to explore the potential mediating effect of the nurse practice environment on the intent to stay among those with high levels of moral distress.
This study was a descriptive, cross-sectional survey using targeted sampling.
A total of 215 participants completed the surveys. Participants were nationally representative of long-term care nurses by age, years of experience, employment status, and type of health setting.
This study was an online national survey of long-term care nurses' perceptions of their intent to stay, moral distress level (Moral Distress Questionnaire), and nurse practice environment (Direct Care Staff Survey). Structural equation modeling analysis explored intent to stay, moral distress, and the nurse practice environment among long-term care nurses.
The mean moral distress score was low, while the mean nurse practice environment and intent to stay scores were high. Moral distress had a significant, moderately negative association with the nurse practice environment (β = −0.41), while the nurse practice environment had a significant, moderately positive association with intent to stay (β = 0.46). The moral distress had a significant, moderately negative association with intent to stay (β = −0.20). The computed structural equation modeling suggested a partially mediated model (indirect effect = −0.19, p = 0.001).
Since the nurse practice environment partially mediates the relationship between moral distress and intent to stay, interventions to improve the nurse practice environment are crucial to alleviating moral distress and enhancing nurses' intent to stay in their jobs, organizations, and the nursing profession.
Our study demonstrated that the nurse practice environment mediates moral distress and intent to stay. Interventions to improve the nurse practice environment are crucial to alleviating moral distress and enhancing nurses' intent to stay in their jobs, organizations, and the nursing profession.
To comprehend the current research hotspots and emerging trends in big data research within the global nursing domain.
Bibliometric analysis.
The quality articles for analysis indexed by the science core collection were obtained from the Web of Science database as of February 10, 2023.The descriptive, visual analysis and text mining were realized by CiteSpace and VOSviewer.
The research on big data in the nursing field has experienced steady growth over the past decade. A total of 45 core authors and 17 core journals around the world have contributed to this field. The author's keyword analysis has revealed five distinct clusters of research focus. These encompass machine/deep learning and artificial intelligence, natural language processing, big data analytics and data science, IoT and cloud computing, and the development of prediction models through data mining. Furthermore, a comparative examination was conducted with data spanning from 1980 to 2016, and an extended analysis was performed covering the years from 1980 to 2019. This bibliometric mapping comparison allowed for the identification of prevailing research trends and the pinpointing of potential future research hotspots within the field.
The fusion of data mining and nursing research has steadily advanced and become more refined over time. Technologically, it has expanded from initial natural language processing to encompass machine learning, deep learning, artificial intelligence, and data mining approach that amalgamates multiple technologies. Professionally, it has progressed from addressing patient safety and pressure ulcers to encompassing chronic diseases, critical care, emergency response, community and nursing home settings, and specific diseases (Cardiovascular diseases, diabetes, stroke, etc.). The convergence of IoT, cloud computing, fog computing, and big data processing has opened new avenues for research in geriatric nursing management and community care. However, a global imbalance exists in utilizing big data in nursing research, emphasizing the need to enhance data science literacy among clinical staff worldwide to advance this field.
This study focused on the thematic trends and evolution of research on the big data in nursing research. Moreover, this study may contribute to the understanding of researchers, journals, and countries around the world and generate the possible collaborations of them to promote the development of big data in nursing science.
The output of scholarly publications in scientific literature has increased exponentially in recent years. This increase in literature has been accompanied by an increase in retractions. Although some of these may be attributed to publishing errors, many are the result of unsavory research practices. The purposes of this study were to identify the number of retracted articles in nursing and reasons for the retractions, analyze the retraction notices, and determine the length of time for an article in nursing to be retracted.
This was an exploratory study.
A search of PubMed/MEDLINE, the Cumulative Index to Nursing and Allied Health Literature, and Retraction Watch databases was conducted to identify retracted articles in nursing and their retraction notices.
Between 1997 and 2022, 123 articles published in the nursing literature were retracted. Ten different reasons for retraction were used to categorize these articles with one-third of the retractions (n = 37, 30.1%) not specifying a reason. Sixty-eight percent (n = 77) were retracted because of an actual or a potential ethical concern: duplicate publication, data issues, plagiarism, authorship issues, and copyright.
Nurses rely on nursing-specific scholarly literature as evidence for clinical decisions. The findings demonstrated that retractions are increasing within published nursing literature. In addition, it was evident that retraction notices do not prevent previously published work from being cited. This study addressed a gap in knowledge about article retractions specific to nursing.
Research on structural empowerment has typically adopted a variable-centered perspective, which is not ideal to study the combined effects of structural empowerment components. This person-centered investigation aims to enhance our knowledge about the configurations, or profiles, of healthcare employees' perceptions of the structural empowerment dimensions present in their workplace (opportunity, information, support, and resources). Furthermore, this study considers the replicability and stability of these profiles over a period of 2 years, and their outcomes (perceived quality of care, and positive and negative affect).
Participants completed the same self-reported questionnaires twice, 2 years apart.
A sample of 633 healthcare employees (including a majority of nurses and nursing assistants) participated. Latent transition analyses were performed.
Five profiles were identified: Low Empowerment, High Information, Normative, Moderately High Empowerment, and High Empowerment. Membership into the Normative and Moderately High Empowerment profiles demonstrated a high level of stability over time (79.1% to 83.2%). Membership in the other profiles was either moderately stable (43.5% for the High Empowerment profile) or relatively unstable (19.7% to 20.4% for the Low Empowerment and High Information profiles) over time. More desirable outcomes (i.e., higher positive affect and quality of care, and lower negative affect) were observed in the High Empowerment profile.
These results highlight the benefits of high structural empowerment, in line with prior studies suggesting that structural empowerment can act as a strong organizational resource capable of enhancing the functioning of healthcare professionals. These findings additionally demonstrate that profiles characterized by the highest or lowest levels of structural empowerment were less stable over time than those characterized by more moderate levels.
From an intervention perspective, organizations and managers should pay special attention to employees perceiving low levels of structural empowerment, as they experience the worst outcomes. In addition, they should try to maintain high levels of structural empowerment within the High Empowerment profile, as this profile is associated with the most desirable consequences. Such attention should be fruitful, considering the instability of the High Empowerment and Low Empowerment profiles over time.
NCT04010773 on ClinicalTrials.gov (4 July, 2019).
FreshRSS 