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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).
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.
In the rapidly evolving healthcare landscape, the capacity to foster innovative work behavior among nurses is increasingly important. This study examined the dynamics between inclusive leadership, psychological safety, collectivism, and innovative work behavior among nurses.
The study used a cross-sectional, correlational design.
This study utilized data from 730 medical-surgical nurses who provided direct care to patients. Standardized instruments were used to assess key study variables. Statistical analyses, including moderated mediation regressions, were employed to investigate the complex interplay among these variables.
We found a positive association between inclusive leadership and innovative work behavior, and psychological safety mediated this relationship. Collectivism moderated inclusive leadership's direct relationship with psychological safety and its indirect relationship with innovative work behavior. The results revealed that nurses with lower levels of collectivism were more responsive to their managers' inclusive behaviors, strengthening the relation between inclusive leadership, psychological safety, and innovative work behavior.
Our findings suggest that promoting inclusive leadership behaviors among nurse managers to create a psychologically safe environment can motivate nurses to engage in innovative work behavior. However, it is also important to understand that the effectiveness of leadership may differ depending on the collectivist values of individual nurses.
Nurse managers should adopt inclusive leadership behaviors, such as valuing trust, open communication, and diversity, in order to foster psychological safety and innovative work behavior among nurses.
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.
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.
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