Tailoring Household Disaster Preparedness Interventions to Reduce Health Disparities: Nursing Implications from Machine Learning Importance Features from the 2018-2020 FEMA National Household Survey.

Tailored disaster preparedness interventions may be more effective and equitable, yet little is known about specific factors associated with disaster household preparedness for older adults and/or those with African American/Black identities. This study aims to ascertain differences in the importance features of machine learning models of household disaster preparedness for four groups to inform culturally tailored intervention recommendations for nursing practice. A machine learning model was developed and tested by combining data from the 2018, 2019, and 2020 Federal Emergency Management Agency National Household Survey. The primary outcome variable was a composite readiness score. A total of 252 variables from 15,048 participants were included. Over 10% of the sample self-identified as African American/Black and 30.3% reported being 65 years of age or older. Importance features varied regarding financial and insurance preparedness, information seeking and transportation between groups. These results reiterate the need for targeted interventions to support financial resilience and equitable resource access. Notably, older adults with Black racial identities were the only group where TV, TV news, and the Weather Channel was a priority feature for household disaster preparedness. Additionally, reliance on public transportation was most important among older adults with Black racial identities, highlighting priority needs for equity in disaster preparedness and policy.

Overview of Occupational Injuries Among Registered Nurses in Washington State, 2007 to 2019.

BACKGROUND: Registered nurses (RNs) represent the largest segment of the health care workforce and have unique job demands and occupational health considerations. The purpose of this study was to describe the incidence, cost, and causes of occupational injuries among RNs in Washington State and to quantify the cumulative cost and burden of each type of injury, relative to all injuries among RNs. METHODS: Annual injury claims data covered under Washington State workers' compensation (WC) fund were analyzed over a 13-year period (2007-2019). Annual mean incidence and cost of injuries were calculated and stratified by nature, source, and event/exposure. Negative binomial regression models were used to examine trends in injury incidence over time, for injury incidence overall, and by the most common injury classifications. RESULTS: Between 2007 and 2019, 10,839 WC claims were filed and accepted for Washington State RNs (annual M = 834), totaling more than US$65 million. No significant trend in overall injury incidence was observed (incidence rate ratio [IRR]: 0.99, 95% confidence interval [CI] = [0.94, 1.05]). The most common injury exposures were bodily reaction and exertion, contact with objects and equipment, falls, and assaults and violent acts. DISCUSSION: To our knowledge, this is the first broad study of the incidence and costs of occupational injuries among RNs across all workplace settings. We identified high-cost, high-frequency incidence rates of musculoskeletal, sharp, and violence-related occupational injury claims, highlighting intervention targets. Implications for Occupational Health Practice: Policy makers, health systems, and occupational health nurse leaders can use this information to identify priority areas where evidence-based occupational health and prevention programs are most needed.

Cognitive Interview Validation of a Novel Household Hazard Vulnerability Assessment Instrument.

BACKGROUND: Weather and climate disasters are responsible for over 13 000 US deaths, worsened morbidity, and $1.7 trillion in additional costs over the last 40 years with profound racial disparities. OBJECTIVES: This project empirically generated items for a novel survey instrument of household hazard vulnerability with initial construct validation while addressing racial bias in the data collection process. METHODS: Cognitive interviews facilitated understanding regarding the performance of drafted survey questions with transdisciplinary expert panelists from diverse US regions on unique hazard/disaster/event items. To prevent representation bias in data collection, those with Black and/or African American racial, biracial, or multiracial identities were over-sampled. Interview video recordings were qualitatively analyzed using thematic and pattern coding. RESULTS: A cognitive process mapped to themes of disaster characteristics, resources, individual life facets, and felt effects was revealed. We identified 379 unique instances of linked terms as synonyms, co-occurring, compounding, or cascading events. Potential for racial bias in data collection was elucidated. Analysis of radiation exposure, trauma, and criminal acts of intent items revealed participants may not interpret survey items with these terms as intended. CONCLUSION: Potential for racial bias exists relative to water dam failure, evacuation, external flood, suspicious packages/substances, and transportation failure. Hazard terms that were not interpreted as intended require further revision in the validation process of individual or household disaster vulnerability assessments. Several commonalities in the cognitive process and mapping of disaster terms may be utilized in disaster and climate change research aimed at the individual and household unit of analysis.

Emergency Nursing Workforce, Burnout, and Job Turnover in the United States: A National Sample Survey Analysis.

INTRODUCTION: Few studies have examined emergency nurses who have left their job to better understand the reason behind job turnover. It also remains unclear whether emergency nurses differ from other nurses regarding burnout and job turnover reasons. Our study aimed to test differences in reasons for turnover or not currently working between emergency nurses and other nurses; and ascertain factors associated with burnout as a reason for turnover among emergency nurses. METHODS: We conducted a secondary analysis of 2018 National Sample Survey for Registered Nurses data (weighted N = 3,004,589) from Health Resources and Services Administration. Data were analyzed using descriptive statistics, chi-square and t-test, and unadjusted and adjusted logistic regression applying design sampling weights. RESULTS: There were no significant differences in burnout comparing emergency nurses with other nurses. Seven job turnover reasons were endorsed by emergency nurses and were significantly higher than other nurses: insufficient staffing (11.1%, 95% confidence interval [CI] 8.6-14.2, P = .01), physical demands (5.1%, 95% CI 3.4-7.6, P = .44), patient population (4.3%, 95% CI 2.9-6.3, P < .001), better pay elsewhere (11.5%, 95% CI 9-14.7, P < .001), career advancement/promotion (9.6%, 95% CI 7.0-13.2, P = .01), length of commute (5.1%, 95% CI 3.4-7.5, P = .01), and relocation (5%, 95% CI 3.6-7.0, P = .01). Increasing age and increased years since nursing licensure was associated with decreased odds of burnout. DISCUSSION: Several modifiable factors appear associated with job turnover. Interventions and future research should account for unit-specific factors that may precipitate nursing job turnover.

Social support, educational, and behavioral modification interventions for improving household disaster preparedness in the general community-dwelling population: a systematic review and meta-analysis.

Background: The efficacy of household emergency preparedness interventions for community-dwelling, non-institutionalized people is largely unknown. Objective: To ascertain the state of the science on social support, educational, and behavioral modification interventions to improve all-hazard household disaster preparedness. Design: Systematic review and meta-analysis. Methods: Databases, trial registers, reports, and websites were searched, and citation trails followed utilizing replicable methods. Individual, cluster, and cross-over randomized controlled trials of non-institutionalized, community-dwelling populations and non-randomized controlled trials, controlled before-after, and program evaluation studies were included. At least two review authors independently screened each potentially relevant study for inclusion, extracted data, and assessed the risk of bias. Risk of bias was assessed using Cochrane's RoB2 tool for randomized studies and ROBINS-I tool for nonrandomized studies. Meta-analyses were applied using a random-effects model. Where meta-analysis was not indicated, results were synthesized using summary statistics of intervention effect estimates and vote counting based on effect direction. The evidence was rated using GRADE. Results: 17 studies were included with substantial methodological and clinical diversity. No intervention effect was observed for preparedness supplies (OR = 6.12, 95% 0.13 to 284.37) or knowledge (SMD = 0.96, 95% CI -0.15 to 2.08) outcomes. A small positive effect (SMD = 0.53, 95% CI 0.16 to 0.91) was observed for preparedness behaviors, with very low certainty of evidence. No studies reported adverse effects from the interventions. Conclusion: Research designs elucidating the efficacy of practical yet complex and multi- faceted social support, educational, and behavioral modification interventions present substantial methodological challenges where rigorous study design elements may not match the contextual public health priority needs and resources where interventions were delivered. While the overall strength of the evidence was evaluated as low to very low, we acknowledge the valuable and informative work of the included studies. The research represents the seminal work in this field and provides an important foundation for the state of the science of household emergency preparedness intervention effectiveness and efficacy. The findings are relevant to disaster preparedness practice and research, and we encourage researchers to continue this line of research, using these studies and this review to inform ongoing improvements in study designs.

Increasing Disaster Preparedness in Emergency Nurses: A Quality Improvement Initiative.

INTRODUCTION: Emergency nurses are on the frontlines of disaster response. Current research reveals low to moderate levels of disaster preparedness in this population and suggests education as an effective means of increasing preparedness. The purpose of this study was to measure, explore, and increase the preparedness levels among emergency nurses at an acute care community hospital in Southern California. METHODS: This was a single group pre/posttest of an educational intervention. The adapted Emergency Preparedness Information Questionnaire was administered to all emergency nurses at the practice site to assess disaster preparedness levels before and after a 6-month education intervention. The intervention was novel because the education was delivered through existing communication channels of daily shift huddles, regular e-mails, designated whiteboard, and staff meeting presentations. Descriptive statistics, Pearson correlation, and paired t tests were used to analyze the data. RESULTS: Moderate levels of disaster preparedness were reported. The number of years worked in the emergency department had the strongest correlation with perceived preparedness levels, followed by prior disaster education/training. A 16.9-point (23.5%) increase between the respondents' mean pre- and post-Emergency Preparedness Information Questionnaire scores (t(33) = -10.27, P ≤ 0.001) was observed. DISCUSSION: These results suggest that a tailored ED-specific disaster preparedness curriculum, delivered through established clinical communication channels, can effectively increase preparedness levels among nurses with little additional cost. The integration of concise, relevant disaster information can be implemented in any department interested in developing a more confident and prepared workforce.