Factors influencing risk perception and nosocomial infection prevention practices of frontline nurses during the COVID-19 pandemic

Evaluating the role of heart rate variability in monitoring stress and sleep quality among nurses in the aftermath of the COVID-19 pandemic

AIM

To assess heart rate variability (HRV) as a measure to assess job stress and sleep quality among nurses in the post-COVID-19 period.

BACKGROUND

The COVID-19 pandemic significantly affected nurses, with heightened job stress and impaired sleep quality impacting their well-being and effectiveness in patient care. HRV could offer insights for supporting strategies in the pandemic aftermath.

DESIGN

A quantitative cross-sectional study.

METHODS

This study involved 403 clinical nurses recruited from a teaching hospital in Taiwan. Data on job stress, work frustration, sleep quality and HRV were collected and analysed.

RESULTS

Among the nurses surveyed during the COVID-19 pandemic, 72.7% reported poor sleep quality (PSQI = 9.369). Job stress emerged as a strong predictor of work frustration. High stress levels and poor sleep quality were correlated with significantly decreased HRV, indicating a potential physiological impact of stress on the nurses' health and well-being.

CONCLUSIONS

HRV is a valuable and cost-effective measure for monitoring and managing nurses' well-being in the post-COVID-19 era. Targeted interventions can be implemented to support nurses' overall performance and promote their well-being by identifying those at high risk of job stress and poor sleep quality.

Link of Infection Prevention Climate to Patient-Centered Care: Role of Workplace Safety and Risk Mitigation

Background

Healthcare-associated infections pose a substantial threat to the quality of healthcare services. Consequently, it is imperative for hospital organizations to actively support an infection prevention climate, fostering workplace safety and risk mitigation, thereby promoting patient-centered care.

Purpose

This study aims to explore the interconnectedness between the infection prevention climate, workplace safety, risk mitigation, and patient-centered care.

Methods

A cross-sectional study design was employed, utilizing a questionnaire administered to 235 healthcare professionals in intensive care and inpatient units at Bandung Kiwari Regional General Hospital. Data analysis was conducted using partial least squares structural equation modeling (PLS-SEM) with SmartPLS 4 and SPSS 25.

Results

The study revealed several significant relationships, including (1) between infection prevention climate and patient-centered care; (2) infection prevention climate and workplace safety; (3) workplace safety and patient-centered care; (4) infection prevention climate and patient-centered care mediated by workplace safety; (5) infection prevention climate and risk mitigation; (6) risk mitigation and patient-centered care; (7) and the relationship between infection prevention climate and patient-centered care mediated by risk mitigation.

Conclusion

Infection prevention climate emerges as a crucial intangible value that hospital organizations can cultivate to shape workplace safety. This, in turn, encourages healthcare workers' compliance in implementing infection prevention controls as a form of risk mitigation, ultimately contributing to the provision of patient-centered care.

Risk perception in the era of COVID-19 and related factors among nurses: A cross-sectional study

AIM

Our study aimed at investigating the risk perception of nurses and related factors in the era of COVID-19 period.

DESIGN

Cross-sectional study.

METHODS

Four hundred and forty-two participants completed an online questionnaire relating to their risk perception on public health emergencies. Data were collected between 25 November 2020 and 1 December 2020. Kruskal-Wallis test, Mann-Whitney U test and Ordinal logistic regression analysis were used to examine factors impacting on risk perception.

RESULTS

65.2% of nurses' risk perception of COVID-19 was the moderate level even below the moderate level in the postperiod of COVID-19. Kruskal-Wallis test results indicated significant differences in gender, age, education status, working years, professional title, postlevel, COVID-19 contact experience, marital status and health status (p < 0.05). Ordinal logistic regression showed that gender, education status, professional title, work department, COVID-19 contact experience, character, health status and nursing work environment are associated with risk perception (p < 0.05). No Patient or Public Contribution.

Does Public Health Emergency Experience Have an Impact on Individual Reactions during COVID-19?

Local historical experience in public health emergencies has been perceived to largely affect COVID-19's social influence. Specifically, individuals' personal experience in public health emergencies would likely have an impact on their reactions to the next similar event. Herein, we combined life course and risk analysis frameworks to explore how individuals' experiences influence current risk perception and protective behaviors. We collected 1000 questionnaires of random network samples in six Chinese provinces of different risk levels from 29 April to 8 May 2020, and used the propensity score matching (PSM) model and multivariable linear regression to process the data. We categorized individual public emergency experience into three patterns: (1) having ever witnessed a public health emergency, (2) having ever experienced a public health emergency, and (3) currently experiencing a public health emergency. The study indicates that individuals' experiences had significant positive effects on protective behaviors against COVID-19. The average effects of the three patterns on behaviors were 0.371 (p < 0.001), 0.898 (p < 0.001) and 0.319 (p < 0.05), respectively. The study also shows that for those experiencing any one pattern, the effect of risk perception on protective behaviors appeared null in the early stage of the pandemic. We propose the potential interactive mechanism of risk factors in the life course at the individual level. Academically, this study develops the risk theory of perception and behavior and expands the application of the life course approach in the public health arena. Practically, our research indicates that public health emergency experiences are valuable for responding to a future pandemic and normalizing prevention policies.

Teaching Evolving Information and Guidelines Using Technology

Evidence-based practice can provide a guideline for teaching evolving information and guidelines related to communicable diseases. Teaching nurses with technology and the social constructivism framework allows for the transmission of knowledge and identification of knowledge limitations. The current health care challenges related to infectious diseases have provided opportunities for expanding how nurses are educated about evolving guidelines. This article provides an example of teaching nurses using the chain of infection. [J Contin Educ Nurs. 2023;54(2):58-60.].

Evaluation of the relationship between individual workload perception and compliance with isolation measures of emergency and critical care nurses

BACKGROUND

As a result of the coronavirus 2019 (COVID-19) pandemic, compliance with isolation measures has become challenging.

OBJECTIVE

To evaluate the individual workload perception and compliance with isolation measures of nurses working in the emergency service and critical care unit during the COVID-19 outbreak.

METHODS

This descriptive correlational study was carried out in the emergency service and critical care unit of a public hospital between April 20 and May 20, 2021. A total of 153 nurses working in the emergency service and critical care unit who agreed to participate in the study were included in the study.

RESULTS

Nurses from a state hospital's emergency department and critical care unit (n = 153) were included in the study sample. The impression of overall individual workload by nurses and compliance with isolation (r = 0.153; p <  0.05) had a positive, weak, and significant relationship. The Isolation Measures Compliance Scale resulted in a mean score of 70.70±5.35. The mean score on the Individual Workload Scale for nurses was moderate (3.22±0.54).

CONCLUSION

The low perception of individual workload of nurses working in the emergency service and critical care unit during the COVID-19 pandemic increased the compliance with isolation measures.

Spatiotemporal distribution of COVID-19 during the first 7 months of the epidemic in Vietnam

BACKGROUND

Understanding the spatiotemporal distribution of emerging infectious diseases is crucial for implementation of control measures. In the first 7 months from the occurrence of COVID-19 pandemic, Vietnam has documented comparatively few cases of COVID-19. Understanding the spatiotemporal distribution of these cases may contribute to development of global countermeasures.

METHODS

We assessed the spatiotemporal distribution of COVID-19 from 23 January to 31 July 2020 in Vietnam. Data were collected from reports of the World Health Organization, the Vietnam Ministry of Health, and related websites. Temporal distribution was assessed via the transmission classification (local or quarantined cases). Geographical distribution was assessed via the number of cases in each province along with their timelines. The most likely disease clusters with elevated incidence were assessed via calculation of the relative risk (RR).

RESULTS

Among 544 observed cases of COVID-19, the median age was 35 years, 54.8% were men, and 50.9% were diagnosed during quarantine. During the observation period, there were four phases: Phase 1, COVID-19 cases occurred sporadically in January and February 2020; Phase 2, an epidemic wave occurred from the 1st week of March to the middle of April (Wave 1); Phase 3, only quarantining cases were involved; and Phase 4, a second epidemic wave began on July 25th, 2020 (Wave 2). A spatial cluster in Phase 1 was detected in Vinh Phuc Province (RR, 38.052). In Phase 2, primary spatial clusters were identified in the areas of Hanoi and Ha Nam Province (RR, 6.357). In Phase 4, a spatial cluster was detected in Da Nang, a popular coastal tourist destination (RR, 70.401).

CONCLUSIONS

Spatial disease clustering of COVID-19 in Vietnam was associated with large cities, tourist destinations, people's mobility, and the occurrence of nosocomial infections. Past experiences with outbreaks of emerging infectious diseases led to quick implementation of governmental countermeasures against COVID-19 and a general acceptance of these measures by the population. The behaviors of the population and the government, as well as the country's age distribution, may have contributed to the low incidence and small number of severe COVID-19 cases.