Healthcare workers’ willingness to respond following a disaster: a novel statistical approach toward data analysis

Abstract Background The willingness of healthcare workers (HCW) to respond is an important factor in the health system’s response capacity during emergencies. Although much research has been devoted to exploring this issue, the statistical methods employed have been predominantly traditional and have not enabled in-depth analysis focused on absenteeism-prone employees during emergencies. The present study employs an innovative statistical approach for modeling HCWs’ willingness to respond (WTR) following an earthquake. Methods A validated questionnaire measuring knowledge, perceptions, and attitudes toward an earthquake scenario was distributed among Israeli HCWs in a hospital setting. Two regression models were employed for data analysis – a traditional linear model, and a quantile regression model that makes it possible to examine associations between explanatory variables across different levels of a dependent variable. A supplementary analysis was performed for selected variables using broken line spline regression. Results Females under the age of forty, and nurses were the most absenteeism-prone sub-groups of employees (showed low WTR) in earthquake events. Professional commitment to care and perception of efficacy were the most powerful predictors associated with WTR across all quantiles. Both marital status (married) and concern for family wellbeing, designated as statistically significant in the linear model, were found to be statistically significant in only one of the WTR quantiles (the former in Q10 and the latter in Q50). Gender and number of children, which were not significantly associated with WTR in the linear model, were found to be statistically significant in the 25th quantile of WTR. Conclusions This study contributes to both methodological and practical aspects. Quantile regression provides a more comprehensive view of associations between variables than is afforded by linear regression alone. Adopting an advanced statistical approach in WTR modeling can facilitate effective implementation of research findings in the field

Promoting public health legal preparedness for emergencies: review of current trends and their relevance in light of the Ebola crisis

Background: Public health legal preparedness (PHLP) for emergencies is a core component of the health system response. However, the implementation of health legal preparedness differs between low- and middle-income countries (LMIC) and developed countries. Objective: This paper examines recent trends regarding public health legal preparedness for emergencies and discusses its role in the recent Ebola outbreak. Design: A rigorous literature review was conducted using eight electronic databases as well as Google Scholar. The results encompassed peer-reviewed English articles, reports, theses, and position papers dating from 2011 to 2014. Earlier articles concerning regulatory actions were also examined. Results: The importance of PHLP has grown during the past decade and focuses mainly on infection–disease scenarios. Amid LMICs, it mostly refers to application of international regulations, whereas in developed states, it focuses on independent legislation and creation of conditions optimal to promoting an effective emergency management. Among developed countries, the United States’ utilisation of health legal preparedness is the most advanced, including the creation of a model comprising four elements: law, competencies, information, and coordination. Only limited research has been conducted in this field to date. Nevertheless, in both developed and developing states, studies that focused on regulations and laws activated in health systems during emergencies, identified inconsistency and incoherence. The Ebola outbreak plaguing West Africa since 2014 has global implications, challenges and paralleling results, that were identified in this review. Conclusions: The review has shown the need to broaden international regulations, to deepen reciprocity between countries, and to consider LMICs health capacities, in order to strengthen the national health security. Adopting elements of the health legal preparedness model is recommended

An Integrated and Interdisciplinary Model for Predicting the Risk of Injury and Death in Future Earthquakes.

A comprehensive technique for earthquake-related casualty estimation remains an unmet challenge. This study aims to integrate risk factors related to characteristics of the exposed population and to the built environment in order to improve communities' preparedness and response capabilities and to mitigate future consequences.An innovative model was formulated based on a widely used loss estimation model (HAZUS) by integrating four human-related risk factors (age, gender, physical disability and socioeconomic status) that were identified through a systematic review and meta-analysis of epidemiological data. The common effect measures of these factors were calculated and entered to the existing model's algorithm using logistic regression equations. Sensitivity analysis was performed by conducting a casualty estimation simulation in a high-vulnerability risk area in Israel.the integrated model outcomes indicated an increase in the total number of casualties compared with the prediction of the traditional model; with regard to specific injury levels an increase was demonstrated in the number of expected fatalities and in the severely and moderately injured, and a decrease was noted in the lightly injured. Urban areas with higher populations at risk rates were found more vulnerable in this regard.The proposed model offers a novel approach that allows quantification of the combined impact of human-related and structural factors on the results of earthquake casualty modelling. Investing efforts in reducing human vulnerability and increasing resilience prior to an occurrence of an earthquake could lead to a possible decrease in the expected number of casualties

Screening for Common Respiratory Diseases among Israeli Adolescents

BACKGROUND: Respiratory diseases are responsible for a significant proportion of serious morbidity among adolescents. There are few reports on the prevalence of common respiratory disorders in this population. The previous studies focused on specific diseases and screened relatively small samples