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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.
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.
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.
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.
As the largest profession within the healthcare industry, nursing and midwifery workforce (NMW) provides comprehensive healthcare to children and their families. This study quantified the independent role of NMW in reducing under-5 mortality rate (U5MR) worldwide.
A retrospective, observational and correlational study to examine the independent role of NMW in protecting against U5MR.
Within 266 “countries”, the cross-sectional correlations between NMW and U5MR were examined with scatter plots, Pearson's r, nonparametric, partial correlation and multiple regression. The affluence, education and urban advantages were considered as the potential competing factors for the NMW–U5MR relationship. The NMW–U5MR correlations in both developing and developed countries were explored and compared.
Bivariate correlations revealed that NMW negatively and significantly correlated to U5MR worldwide. When the contributing effects of economic affluence, urbanization and education were removed, the independent NMW role in reducing U5MR remained significant. NMW independently explained 9.36% U5MR variance. Multilinear regression selected NMW as a significant factor contributing an extra 3% of explanation to U5MR variance when NMW, affluence, education and urban advantage were incorporated as the predicting variables. NMW correlated with U5MR significantly more strongly in developing countries than in developed countries.
NMW, indexing nursing and midwifery service, was a significant factor for reducing U5MR worldwide. This beneficial effect explained 9.36% of U5MR variance which was independent of economic affluence, urbanization and education. The NMW may be a more significant risk factor for protecting children from dying under 5 years old in developing countries. As a strategic response to the advocacy of the United Nations to reduce child mortality, it is worthy for health authorities to consider a further extension of nurses and midwives' practice scope to enable communities to have more access to NMW healthcare services.
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.
Nurses increasingly use mindfulness as an effective mental health intervention to reduce psychological distress. The effectiveness of mindfulness-based interventions remains inconclusive, which may lead to implementation of interventions in an inefficient or ineffective manner. This study aimed to examine the effects of mindfulness-based interventions on reducing stress, anxiety, and depression among nurses.
Systematic review and meta-analysis.
Randomized controlled trials (RCTs) were searched using six databases published through May 20, 2023, which evaluated the effects of mindfulness-based interventions on reducing psychological distress among nurses. To assess the quality of methodology included in the RCTs, version 2 of the Cochrane risk-of-bias instrument for RCTs with five domains was used. Standardized mean difference (SMD) with 95% confidence interval (CI) were calculated using the random–effects model in the meta-analyses. Publication bias was assessed using Egger's regression test. Further, the robustness effect size of the pooled analysis was assessed using leave-one-out sensitivity analysis.
A total of 16 RCTs were included in the final analysis. Overall, the modalities appeared to alleviate stress (pooled SMD: −0.50 [95% CI: −0.82 to −0.18]; p < 0.001) and depression (pooled SMD: −0.42 [95% CI: −0.78 to −0.06]; p = 0.02) among nurses.
Mindfulness-based interventions appear to alleviate stress and depression in nurses. Future research evaluating mindfulness-based interventions among working nurses with more rigorous methodological and larger sample size.
Support for nurses' mental health must be included while implementing personal and professional development plans.
Facemasks are an important piece of personal protective equipment (PPE) to mitigate the spread of respiratory illnesses, but they can impede communication between patients and healthcare providers. The purpose of this scoping review is to identify effective communication practices while wearing facemasks.
Scoping review using a systematic search of articles from the PubMed, CINAHL, and Embase databases.
The PEO (population, exposure, outcome) methodology was selected for this systematic scoping review. The population of interest (P) includes humans of all ages (children, adults, and older adults); the exposure of interest (E) is PPE that covers the mouth (i.e., facemasks); and the outcome of interest (O) is successful or unsuccessful communication practices. The Johns Hopkins Evidence-Based Practice for Nurses and Healthcare Professionals appraisal guidelines were used to determine the level and quality of the research.
Thirty-nine articles met the inclusion criteria. Seventeen of these were high- or good-quality research studies, and the remaining 22 were non-research articles included with separate analysis as part of the scoping review. The 17 articles encompassed 2656 participants. The highest quality evidence indicated that standard surgical masks have the least impact on speech perception compared to other non-transparent mask types, and that recognizing emotions is less accurate with facemasks, necessitating compensatory actions (i.e., reducing extraneous noise, using a microphone to amplify voice, and employing clear speech). Evidence was contradictory regarding the use of transparent masks. Evidence was of limited quality for other non-verbal and verbal communication strategies.
Awareness of communication challenges is crucial when wearing facemasks. More high-quality studies are needed to evaluate communication techniques when speakers are wearing facemasks. Basic strategies such as selecting an appropriate mask type, reducing extraneous noise, using microphones, verbalizing emotions, and employing clear speech appear to be beneficial.
The findings of this scoping review highlight the importance of considering communication challenges while wearing facemasks in the healthcare settings. The review suggests that selecting an appropriate mask type, reducing extraneous noise, verbalizing emotions, and employing clear speech are some strategies that may be effective in mitigating the impact of facemasks on communication between patients and healthcare providers.
The integration of generative artificial intelligence (AI) into academic research writing has revolutionized the field, offering powerful tools like ChatGPT and Bard to aid researchers in content generation and idea enhancement. We explore the current state of transparency regarding generative AI use in nursing academic research journals, emphasizing the need for explicitly declaring the use of generative AI by authors in the manuscript. Out of 125 nursing studies journals, 37.6% required explicit statements about generative AI use in their authors' guidelines. No significant differences in impact factors or journal categories were found between journals with and without such requirement. A similar evaluation of medicine, general and internal journals showed a lower percentage (14.5%) including the information about generative AI usage. Declaring generative AI tool usage is crucial for maintaining the transparency and credibility in academic writing. Additionally, extending the requirement for AI usage declarations to journal reviewers can enhance the quality of peer review and combat predatory journals in the academic publishing landscape. Our study highlights the need for active participation from nursing researchers in discussions surrounding standardization of generative AI declaration in academic research writing.
The COVID-19 pandemic has had a tremendous impact on healthcare systems worldwide. In particular, long-term care facilities have proved more susceptible to infection as they care for vulnerable populations at high risk of chronic illness. How this impacts the role and core competencies of health and care workers in these facilities remains less understood.
Describe how health and care workers contribute to the prevention of emerging infectious diseases in long-term care facilities.
A scoping review.
A systematic search of literature dating from 2002 to 2022 was conducted in the following databases: EMBASE, Medline (Ovid), Cochrane Library, CINAHL Plus with Full Text (EBSCOhost), Web of Science, and AgeLine. Studies were selected if they focused on health and care workers in long-term care facilities, offered a perspective on the prevention of emerging infectious diseases or infection prevention and control, and were original qualitative or quantitative studies in English. Data were extracted, cross-checked and analyzed by two researchers, and any difference in views regarding the appropriateness of literature would be resolved by consulting a third researcher. An inductive descriptive approach was applied for the analysis of results, and themes were established via consensus meetings.
A total of fourteen studies from Asia, Europe, and the Americas were included. Three themes emerged from the review: “The roles of health and care workers evolve with the times”, “The core competencies of health and care workers are essential for preventing emerging infectious diseases in long-term care facilities” and “The key to successful prevention of emerging infectious diseases in long-term care facilities is through a systematic, comprehensive effort that mobilize health and care workers at all levels”. Health and care workers had to take on increasingly complex roles and rely on their core competencies to cope with epidemic changes, and facility resources, employee quality and management models were found to have significantly improved infection prevention and control outcomes.
The roles of health and care workers are evolving, and effective infection prevention within long-term care facilities depends on their ability to perform core competencies with skill and confidence. Moreover, a systematic, comprehensive framework, for which this paper proposes three guidelines, is urgently needed to ensure consistent policy implementation within the facility as well as support and access to resources for health and care workers.
Infection prevention efforts within long-term care facilities must take into account the evolving roles of health and care workers, with a focus on guaranteeing access to resources, training and support that will help them gain the core competencies necessary for juggling those roles. In addition, there is an urgent need for research instruments that will help assess those competencies and identify areas of improvement.
Using software for self-management interventions can improve health outcomes for individuals with low back pain, but there is a dearth of research to confirm its effectiveness. Additionally, no known research has evaluated the effective elements of software-based interventions for low back pain self-management components. This study aimed to synthesize the effectiveness of software-based interventions to promote self-management health outcomes among individuals with low back pain.
A systematic review and meta-analysis was conducted.
Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Statement, relevant studies up to July 2022 were searched via four electronic databases: PubMed, Embase, Cumulative Index to Nursing and Allied Health Literature, and Web of Science.
4908 adults with low back pain who participated in 23 studies were included. Software-based interventions were effective in reducing fear avoidance (mean difference [MD] = −0.95, 95% CI: −1.45 to −0.44), pain catastrophizing (MD = −1.31, 95% CI: −1.84 to −0.78), disability (MD = −8.21, 95% CI: −13.02 to −3.39), and pain intensity (MD = −0.86, 95% CI: −1.17 to −0.55). Specifically, interventions that included an exercise component were more effective in reducing pain and disability. Additionally, cognitive behavioral therapy (CBT) intervention significantly reduced fear avoidance and pain catastrophizing but had no noticeable impact on disability and pain compared to standard treatment. The certainty of the evidence in this review varied from very low to high across outcomes. The heterogeneity of the study results was significant, suggesting that future studies in this area could optimize the design, time points, measures, and outcomes to strengthen the evidence.
Low back pain self-management interventions delivered through software-based programs effectively reduce pain intensity, disability, fear avoidance, and pain catastrophizing.
Low back pain is among the most common reasons for seeking healthcare visits. Combining exercise and counseling through soft-based programs may effectively address this issue and its associated suffering and disability.
Research findings and knowledge translation are typically disseminated via presentations at professional meetings and publication in peer-review journals. However, other opportunities to translate research evidence into practice exist, including the use of visual cues.
The aim of this paper is to describe the collaborative process of translating key research findings into a clear and compelling visual communication tool.
As part of a multimodal research dissemination strategy, the researchers partnered with the University Health Communication Design Program faculty to develop a visual communication strategy to promote the use of antibiotic time-outs by nurses in a health system. An environmental poster was identified as an appropriate mode of communication for its potential to convey a message quickly, impactfully, and economically.
Five-step systematic approach, including feedback from end-users.
To augment our research dissemination strategy, an action-oriented visual communication tool in the form of a 36x48 inch poster was created within four weeks and placed in the work environment. Unit nursing leaders and staff decided on poster locations for maximum nurse engagement with the message.
Creating visual communication to display scientific information is an important skill, but most nurse researchers never receive any formal training that encourages participation in collaborative development of visual communication tools. Our collaboration, was iterative, reflective, and provided a unique opportunity for shared learning. Partnering with health communication designers to expand research reach and impact is invaluable and should be considered as part of a dissemination strategy.
Clinical nurses' benefit from ‘seeing’ the science narrowed to a simple message in order to spark dialogue or remind them what they need to ‘do’.
Newspapers are a predominant channel through which the Chinese public learns about nurses and the nursing profession. However, little nursing research has been performed in China to investigate the newspaper portrayal of nurses, and how the public perceives the role of nurses in the Chinese context is still an ambiguous phenomenon. This study aimed to clarify the public portrayals of nurses in China, and to analyze whether there are changes over time in news content related to nurses in the national newspapers.
A content analysis of the newspaper articles citing nurses that have been published since each newspaper was established.
We selected two national daily newspapers as sources to systematically search for articles about nurses from 1949 to 2022. A coding instrument was developed to quantitatively extract the contents of the articles identified. Then, using a mixed methods approach, we analyzed newspaper content to show the roles of nurses presented to the public by the media.
A total of 317 articles were analyzed. Nurses have been depicted with heterogeneous images in both newspapers with positive wordings and up to 28 types of public images. More than half of the articles portrayed two, three, or more types of images. Among the images of nurses identified, “overworked” appeared the most frequently, followed by “dedicated,” “philanthropic and benevolent,” and “with a sense of responsibility,” and then “technically skilled.” By analyzing the image of nurses in both newspapers over time, we found that images related to virtue have largely increased with time, while images about professionalism have decreased.
Nursing continues to be depicted as a virtuous caregiving profession, often forgetting the wide need for knowledge, skill, and expertise required in the occupation. The public image of nurses portrayed in the national newspapers does not accurately match their actual roles.
The public image of nurses portrayed in the national newspapers does not accurately match their actual roles. To actualize a professional role and increase social status of nurses, intentional image management is needed. Nursing schools, nursing associations, and nursing professionals should be more proactive in overcoming the stereotypical image portrayed of them and use the news media as a tool to invite attention from and dialogue with the public about the value of nursing to reframe the public's understanding of the expert role of the professional nurse in health care and to create a new and more professional image for nursing.
FreshRSS 