The nurse COVID and historical epidemics literature repository: Development, description, and summary

The interplay among burnout, and symptoms of depression, anxiety, and stress in Chinese clinical therapists

Burnout, depression, anxiety, and stress negatively impact the well-being and retention of healthcare professionals. The interplay of these symptoms is understudied. Utilizing network analysis, this study examined the interrelationships among these symptom clusters in clinical therapists in China. An anonymous survey was conducted among clinical therapists from 41 tertiary psychiatric hospitals in China. Burnout was assessed using the Maslach Burnout Inventory-Human Service Survey (MBI-HSS), while symptoms of depression, anxiety, and stress were assessed via the Depression, Anxiety, and Stress Scale-21 (DASS-21). Analyses were performed to identify central symptoms and bridge symptoms of this network. A total of 419 participants were included in this survey. The prevalence rate for burnout, depression, anxiety, and stress was 19.8%, 22.2%, 17.9%, and 8.6%, respectively. Network analysis indicated that stress symptoms had the highest expected influence values, closely followed by emotional exhaustion from MBI-HSS. Notably, emotional exhaustion emerged as the strongest bridge of expected influence. The stability of the expected influence and bridge expected influence was robust, with coefficients at 0.75. The study's findings underscore the importance of recognizing the central symptoms and bridge symptoms, which could lead to more effective early detection and intervention for burnout, depression, anxiety, and stress among clinical therapists.

Understanding global research trends in the control and prevention of infectious diseases for children: Insights from text mining and topic modeling

INTRODUCTION

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.

METHODS

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.

RESULTS

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.

CONCLUSION

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.

CLINICAL RELEVANCE

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.

Pandemic perspectives from the frontline-The nursing stories

AIM

To describe the experiences of registered nurses working in a US healthcare system during the COVID-19 pandemic.

DESIGN

This qualitative thematic analysis study is a secondary analysis of stories submitted by nurses to a repository established by the parent study.

METHODS

Registered nurses working in various roles in a healthcare system submitted stories (N = 45) to open-ended prompts via an online repository between June 2020 and February 2021. A team of three nurse scientists coded the stories using Dedoose software. Initial codes were then reviewed by the team to synthesize initial coding into themes. The COREQ checklist was used to ensure research reporting guidelines were met.

RESULTS

Thematic analysis revealed three themes in a global theme of COVID-19 pandemic-related personal and professional evolution: (1) The art and science of pandemic nursing, (2) Persisting despite challenges; and (3) Learning as we went. Each of the three organizing themes were supported by basic themes.

CONCLUSIONS

Identified themes affirm some of nursing's long-standing core values, such as the central role of human connectedness in restoring health, but findings also reflect new evolutionary processes of moral identity formation that occurred among nurses and the nursing profession during the COVID-19 pandemic.

IMPACT

Findings from this study describe the processes by which nurses' moral identity evolved during a segment of the COVID-19 pandemic. Collectively, these evolutions represent important shifts in the nursing profession. Using findings from this study, nurse educators, nurse managers and healthcare administrators will be able to implement effective, sustainable policies and processes that meet the needs of both the community and the workforce.

NO PATIENT OR PUBLIC CONTRIBUTION

This study was designed to capture the experiences of nurses employed by one healthcare organization. However, it was not conducted using input or suggestions from the public or the patient population served by the organization.