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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).
With the prolongation of the COVID-19 pandemic, more individuals are experiencing sequelae after COVID-19 infection, also known as post-acute COVID-19 syndrome (PCS). The aims of this study were to describe the prevalence and characteristics of PCS symptoms such as fatigue, anxiety, and depression and to compare these symptoms according to participant characteristics in patients who had been previously hospitalized due to COVID-19.
A descriptive cross-sectional study design was used.
We included 114 individuals who had been hospitalized for COVID-19 and were discharged from the hospital at least 4 weeks before. Symptoms were assessed using the Fatigue Severity Scale, the Hospital Anxiety-Depression Scale, and the PCS symptom questionnaire developed by the authors. We used descriptive statistics, the Student's t-test, the Wilcoxon rank-sum test, and the Kruskal–Wallis test for statistical analyses.
The most prevalent symptoms were anxiety (66.7%), fatigue (64.0%), headache (57.9%), and concentration or memory difficulties (57.9%). Concentration or memory difficulties and sleep disturbances had the highest mean frequency. Concentration or memory difficulties were rated with the highest mean severity, and cough, loss of taste, and muscle and joint pain had the highest mean distress scores. Female participants, individuals hospitalized for more than 2 weeks, individuals discharged more than 9 months ago, unvaccinated patients, and those who tried at least one symptom relief method reported higher symptom distress.
The findings of this investigation into the frequency, severity, and distress of symptoms shed light on the identification of post-COVID symptoms in detail. To objectively evaluate and comprehend the symptom trajectories of PCS, prospective studies about the development of symptom assessment tools and studies with a longitudinal design should be conducted.
A substantial number of respondents reported numerous symptoms and expressed symptom distress; therefore, the development of nursing interventions and treatments to alleviate PCS symptoms is crucial.
Inpatients need to recognize their fall risk accurately and objectively. Nurses need to assess how patients perceive their fall risk and identify the factors that influence patients' fall risk perception.
This study aims to explore the congruency between nurses' fall risk assessment and patients' perception of fall risk and identify factors related to the non-congruency of fall risk.
A descriptive and cross-sectional design was used. The study enrolled 386 patients who were admitted to an acute care hospital. Six nurses assessed the participants' fall risk. Congruency was classified using the Morse Fall Scale for nurses and the Fall Risk Perception Questionnaire for patients.
The nurses' fall risk assessments and patients' fall risk perceptions were congruent in 57% of the participants. Underestimation of the patient's risk of falling was associated with gender (women), long hospitalization period, department (orthopedics), low fall efficacy, and history of falls before hospitalization. Overestimation of fall risk was associated with age group, gender (men), department, and a high health literacy score. In the multiple logistic regression, the factors related to the underestimation of fall risk were hospitalization period and department, and the factors related to the overestimation of fall risk were health literacy and department.
Nurses should consider the patient's perception of fall risk and incorporate it into fall prevention interventions.
Nurses need to evaluate whether patients perceive the risk of falling consistently. For patients who underestimate or overestimate their fall risk, it may be helpful to consider clinical and fall-related characteristics together when evaluating their perception of fall risk.
The emergence of novel infectious diseases has amplified the urgent need for effective prevention strategies, especially ones targeting vulnerable populations such as children. Factors such as the high incidence of both emerging and existing infectious diseases, delays in vaccinations, and routine exposure in communal settings heighten children's susceptibility to infections. Despite this pressing need, a comprehensive exploration of research trends in this domain remains lacking. This study aims to address this gap by employing text mining and modeling techniques to conduct a comprehensive analysis of the existing literature, thereby identifying emerging research trends in infectious disease prevention among children.
A cross-sectional text mining approach was adopted, focusing on journal articles published between January 1, 2003, and August 31, 2022. These articles, related to infectious disease prevention in children, were sourced from databases such as PubMed, CINAHL, MEDLINE (Ovid), Scopus, and Korean RISS. The data underwent preprocessing using the Natural Language Toolkit (NLTK) in Python, with a semantic network analysis and topic modeling conducted using R software.
The final dataset comprised 509 journal articles extracted from multiple databases. The study began with a word frequency analysis to pinpoint relevant themes, subsequently visualized through a word cloud. Dominant terms encompassed “vaccination,” “adolescent,” “infant,” “parent,” “family,” “school,” “country,” “household,” “community,” “HIV,” “HPV,” “COVID-19,” “influenza,” and “diarrhea.” The semantic analysis identified “age” as a key term across infection, control, and intervention discussions. Notably, the relationship between “hand” and “handwashing” was prominent, especially in educational contexts linked with “school” and “absence.” Latent Dirichlet Allocation (LDA) topic modeling further delineated seven topics related to infectious disease prevention for children, encompassing (1) educational programs, (2) vaccination efforts, (3) family-level responses, (4) care for immunocompromised individuals, (5) country-specific responses, (6) school-based strategies, and (7) persistent threats from established infectious diseases.
The study emphasizes the indispensable role of personalized interventions tailored for various child demographics, highlighting the pivotal contributions of both parental guidance and school participation.
The study provides insights into the complex public health challenges associated with preventing and managing infectious diseases in children. The insights derived could inform the formulation of evidence-based public health policies, steering practical interventions and fostering interdisciplinary synergy for holistic prevention strategies.
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.
Investigations about the interrelationships of nurses' safety climate, quality of care, and standard precautions (SP) adherence and compliance remain particularly scarce in the literature. Thus, we tested a model of the associations between nurses' safety climate, quality of care, and the factors influencing adherence and compliance with SPs utilizing the structural equation modeling (SEM) approach.
Cross-sectional design complying with STROBE guidelines.
Using convenience sampling, nurses (n = 730) from the Philippines were recruited. Data were collected between April and September 2022 using four validated self-report measures. Spearman Rho, mediation and path analyses, and SEM were employed for data analysis.
Acceptable model fit indices were shown by the emerging model. The safety climate is positively associated with quality of care and factors influencing adherence to and compliance with SPs. Quality of care directly affected factors influencing adherence to SPs. The factors influencing adherence to SPs directly affected SP compliance. Quality of care mediated between safety climate and the factors influencing adherence to SPs. Factors influencing adherence to SPs mediated between safety climate, quality of care, and SP compliance.
The study's variables are not distinct but overlapping nursing concepts that must be examined collectively. Nurse administrators can utilize the emerging model to formulate strategies and regulations for evaluating and enhancing nurses' safety climate, quality of care, and SP adherence and compliance.
Our findings may impact policymaking, organizational, and individual levels to improve nurses' clinical practice.
This study had no patient contribution or public funding.
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.
Providing support to parents is an evidence-based practice and a crucial part of family-centered nursing care. However, it is not clear who and how to provide the best support to parents during and after their child's resuscitation attempts.
This study was conducted to explore the characteristics and roles of parental supporters responsible for caring for parents during and after their child's resuscitation.
This is a mixed-method study combining the Delphi technique and the Analytic Hierarchy Process. A list of potentially important items describing the characteristics and roles of parental supporters caring for parents during and after pediatric resuscitation was developed through qualitative interviews with parents and members of the resuscitation team, and a thorough literature search. Then, the Delphi round was conducted with key experts. In the final step, the Analytic Hierarchy Process was used for ranking items in the order of their importance.
A list with 69 items describing the characteristics and roles of parental supporters was developed. 15 items (21.74%) were related to the “Characteristics of parental supporter” category; 8 items (11.59%) were related to the “Roles of a parental supporter during resuscitation” category; 13 items (18.84%) were related to the “Roles of a parental supporter after successful resuscitation” category; 23 items (33.34%) were related to the “Roles of a parental supporter after unsuccessful resuscitation” category; and 10 items (14.49%) were related to the “Roles of a parental supporter after unsuccessful resuscitation with help of other staff of the hospital” category.
The findings of this study can be used to develop guidelines that include parental supporter characteristics and roles to support parents during and after their child's resuscitation according to family-centered care practices in pediatric settings.
Study findings indicate the need for the presence of a parental supporter during and after pediatric resuscitation, whether witnessed by the parents or not. Knowledge regarding the characteristics and roles of parental supporters can be used in practice to uphold family-centered nursing care during critical situations.
Previous systematic reviews and meta-analyses have mainly focused on improvements in the number of metabolic syndrome risk factors and individual changes in each risk factor, making it challenging to examine the impact of comprehensive lifestyle modification interventions on adherence to recommended health behaviors. To address this gap, we conducted a systematic and meta-analysis aimed at identifying clinical parameter levels associated with lifestyle modification outcomes and adherence to recommended health behaviors for individuals with metabolic syndrome.
A total of seven studies retrieved from four databases (CINAHL, Medline via PubMed, American Psychological Association PsycINFO, and Embase) were included in the review. The selected studies, which demonstrated improvements in health behaviors, all included diet and exercise as main factors of comprehensive lifestyle modification in home settings.
Our findings suggest that a 6-month comprehensive intervention including diet and exercise can be effective in decreasing glucose levels and systolic blood pressure. However, given the limited available data, further studies investigating the efficacy of interventions of varying durations are needed.
Although our review included a small number of studies, comprehensive lifestyle modifications consisting of at least two components (primarily diet and exercise) can improve health behaviors and some clinical parameters among individuals with metabolic syndrome. Future studies are needed to investigate the long-term effects of lifestyle modifications on health behavior adherence and explore effective interventions to address certain clinical parameters, such as high-density lipoprotein levels. Also, we recommend using objective and quantifiable measure to compare adherence to recommended lifestyle modifications across studies.
This research provides empirical evidence of the effectiveness of comprehensive lifestyle modification and emphasizes the need to develop long-term nursing strategies in public health that can be used to effectively manage metabolic syndrome.
Concussion symptoms following a traumatic accident are both common and known to adversely affect mental health and recovery in patients with traumatic brain injury. Depression, highly prevalent among patients with traumatic brain injury, is also associated with the important factors of sleep quality and resilience. However, the mediator and moderator roles of depression following concussion in patients with traumatic brain injury have been underexplored. The aims of this study were to investigate the mediating role of sleep quality in the relation between concussion symptoms and depression and to examine the moderating effect of resilience on this mediated model.
Cross-sectional pretest data analysis of a randomized controlled trial.
A total of 249 adult patients with mild traumatic brain injury (Glasgow Coma Scale 13–15) at admission following brain injury were surveyed at a medical center in Taipei, Taiwan. The outcome variables were concussion symptoms (Rivermead Post-Concussion Symptom Questionnaire), sleep quality (Pittsburgh Sleep Quality Index), resilience (Resilience Scale for Adults), and depression (Beck Depression Inventory II). These data were analyzed using moderated mediation regressions with the SPSS PROCESS macro.
In patients with mild traumatic brain injury, there was a significant positive relation between concussion symptoms and depression, of which sleep quality was a significant mediator. Additionally, resilience had a negative moderating effect on the relations between sleep quality and depression. Patients with less resilience showed a stronger negative effect of sleep quality on depression.
Our findings suggest that ameliorating both concussion symptoms and sleep disturbance is important for reducing the risk of depression in patients with mild traumatic brain injury, especially in those patients with less resilience.
It is essential for clinical nurses to develop interventions for patients with mild traumatic brain injury that will improve their sleep quality, while strengthening their resilience, to alleviate depression.
Hospital-acquired pressure injuries (HAPIs) are a global high-stakes patient safety issue. Key stakeholder perspectives regarding their role and experiences with pressure injuries is critical as part of the solution to minimizing HAPI occurrence and attain sustainability.
A qualitative, descriptive approach provided multiple perspectives of key stakeholders to support the complexity of HAPI care. The qualitative data are a part of a mixed method convergent research study examining pressure injury prevention and management practices.
Nursing system theory, mixed method convergent design, and participatory action research methodologies were chosen to address both the gap analysis development and results, achieve collaborative comprehensiveness, and enable key stakeholder involvement throughout this HAPI prevention and management initiative. Participants were recruited and enrolled from a large Level I trauma hospital and the key stakeholders. Demographic information were collected prior to the individual interview. Focused interviews were conducted virtually using zoom technology. Qualitative data were analyzed using NVivo software and thematic analysis was confirmed across the co-investigators for congruence and applicability to the research questions.
Qualitative interviews with 26 key stakeholders provided data to support and integrate a link with gap analysis results on the complex health issue of HAPIs. Specific barrier and recommendation themes identified interventions that could be prioritized. The 52 barrier and 52 recommendation themes/sub-theme(s) respectively were organized by Donabedian (structure, process, and outcome) with structure elements the majority. The top three structure barrier themes involved equipment and standards for use, staff prevention education, and specialized health professionals. The top three structure recommendation themes involved specialized health professionals, equipment and standards for use, and an educational plan for those at risk or with HAPIs.
The article provides findings from the qualitative portion of a mixed method study related to HAPIs. The qualitative findings associated with the gap analysis quantitative results, achieved the goal of the participatory action research key stakeholders' input into HAPI care and can be replicated internationally.
The benefit of key stakeholder's involvement in solving a clinical problem is sustainability. A quantitative approach and integrating qualitative stakeholders' perspectives provide an in-depth solution that will advance nursing capacity toward health care delivery and HAPI nursing science and policy development on a global level.
To use co-design principles to design a nationwide maternity experiences survey and to distribute the survey through social media.
A co-designed, cross sectional, and national online survey.
Using co-design principles from study design and throughout the research process a cross-sectional, online, national survey of Australian women's experiences of maternity care was designed. Four validated survey instruments were included in the survey design.
An extensive social media strategy was utilized, which included paid advertising, resulting in 8804 surveys for analysis and 54,896 comments responding to open text questions.
The inclusion of co-design principles contributed to a well-designed survey and consumer involvement in distribution and support of the online survey. The social media distribution strategy contributed to high participation rates with overall low marketing costs.
Maternity services should be designed to provide woman-centered, individualized care. This survey was co-designed with maternity users and maternity organizations to explore women's recent experiences of maternity care in Australia. The outcomes of this study will highlight the factors that contribute to positive and negative experiences in maternity services.
As a co-designed study, there was consumer engagement from the design of the study, throughout the research process.
FreshRSS 