A conceptual framework for evaluating information technologies and decision support systems for bioterrorism preparedness and response

Developing Public Health Emergency Response Leaders in Incident Management: A Scoping Review of Educational Interventions

During emergency responses, public health leaders frequently serve in incident management roles that differ from their routine job functions. Leaders' familiarity with incident management principles and functions can influence response outcomes. Therefore, training and exercises in incident management are often required for public health leaders. To describe existing methods of incident management training and exercises in the literature, we queried 6 English language databases and found 786 relevant articles. Five themes emerged: (1) experiential learning as an established approach to foster engaging and interactive learning environments and optimize training design; (2) technology-aided decision support tools are increasingly common for crisis decision-making; (3) integration of leadership training in the education continuum is needed for developing public health response leaders; (4) equal emphasis on competency and character is needed for developing capable and adaptable leaders; and (5) consistent evaluation methodologies and metrics are needed to assess the effectiveness of educational interventions.These findings offer important strategic and practical considerations for improving the design and delivery of educational interventions to develop public health emergency response leaders. This review and ongoing real-world events could facilitate further exploration of current practices, emerging trends, and challenges for continuous improvements in developing public health emergency response leaders.

Social media and internet-based data in global systems for public health surveillance: a systematic review

CONTEXT

The exchange of health information on the Internet has been heralded as an opportunity to improve public health surveillance. In a field that has traditionally relied on an established system of mandatory and voluntary reporting of known infectious diseases by doctors and laboratories to governmental agencies, innovations in social media and so-called user-generated information could lead to faster recognition of cases of infectious disease. More direct access to such data could enable surveillance epidemiologists to detect potential public health threats such as rare, new diseases or early-level warnings for epidemics. But how useful are data from social media and the Internet, and what is the potential to enhance surveillance? The challenges of using these emerging surveillance systems for infectious disease epidemiology, including the specific resources needed, technical requirements, and acceptability to public health practitioners and policymakers, have wide-reaching implications for public health surveillance in the 21st century.

METHODS

This article divides public health surveillance into indicator-based surveillance and event-based surveillance and provides an overview of each. We did an exhaustive review of published articles indexed in the databases PubMed, Scopus, and Scirus between 1990 and 2011 covering contemporary event-based systems for infectious disease surveillance.

FINDINGS

Our literature review uncovered no event-based surveillance systems currently used in national surveillance programs. While much has been done to develop event-based surveillance, the existing systems have limitations. Accordingly, there is a need for further development of automated technologies that monitor health-related information on the Internet, especially to handle large amounts of data and to prevent information overload. The dissemination to health authorities of new information about health events is not always efficient and could be improved. No comprehensive evaluations show whether event-based surveillance systems have been integrated into actual epidemiological work during real-time health events.

CONCLUSIONS

The acceptability of data from the Internet and social media as a regular part of public health surveillance programs varies and is related to a circular challenge: the willingness to integrate is rooted in a lack of effectiveness studies, yet such effectiveness can be proved only through a structured evaluation of integrated systems. Issues related to changing technical and social paradigms in both individual perceptions of and interactions with personal health data, as well as social media and other data from the Internet, must be further addressed before such information can be integrated into official surveillance systems.

Public health systems research in emergency preparedness: a review of the literature

BACKGROUND

Despite the acknowledged promise of developing a public health systems research (PHSR) agenda for emergency preparedness, there has been no systematic review of the literature in this area. The purpose of this study was to conduct a systematic literature review in order to identify and characterize the PHSR literature produced in the U.S. in the past 11 years in the field of public health emergency preparedness.

EVIDENCE ACQUISITION

Articles were searched in MEDLINE and EMBASE, as well as in the gray literature. Two independent reviewers classified the articles according to study design and IOM public health emergency preparedness (PHEP) research goal areas.

EVIDENCE SYNTHESIS

From January 1, 1997, through December 31, 2008, there were 547 articles that met the inclusion criteria that were published. It was possible to classify 314 (57%) articles into at least one of the four IOM PHEP research goal areas. Of these, 61 (11%) addressed Research Area 1 (usefulness of training); 39 (7%) addressed Research Area 2 (communications in preparedness and response); 193 (35%) addressed Research Area 3 (sustainable preparedness and response systems); and 39 (7%) addressed Research Area 4 (criteria and metrics to measure effectiveness and efficiency). Twenty-one studies (4%) could be classified into more than one category. The majority of the articles (81%), including commentaries/reviews and case studies, were based on qualitative analysis. Commentaries/review articles were the most common study types (62%).

CONCLUSIONS

Since 2001, the PHSR literature on PHEP issues has grown at about 33% per year. However, most studies lack a rigorous design, raising questions about the validity of the results.

Recommendations for modeling disaster responses in public health and medicine: a position paper of the society for medical decision making

PURPOSE

Mathematical and simulation models are increasingly used to plan for and evaluate health sector responses to disasters, yet no clear consensus exists regarding best practices for the design, conduct, and reporting of such models. The authors examined a large selection of published health sector disaster response models to generate a set of best practice guidelines for such models.

METHODS

. The authors reviewed a spectrum of published disaster response models addressing public health or health care delivery, focusing in particular on the type of disaster and response decisions considered, decision makers targeted, choice of outcomes evaluated, modeling methodology, and reporting format. They developed initial recommendations for best practices for creating and reporting such models and refined these guidelines after soliciting feedback from response modeling experts and from members of the Society for Medical Decision Making.

RESULTS

. The authors propose 6 recommendations for model construction and reporting, inspired by the most exemplary models: health sector disaster response models should address real-world problems, be designed for maximum usability by response planners, strike the appropriate balance between simplicity and complexity, include appropriate outcomes that extend beyond those considered in traditional cost-effectiveness analyses, and be designed to evaluate the many uncertainties inherent in disaster response. Finally, good model reporting is particularly critical for disaster response models.

CONCLUSIONS

. Quantitative models are critical tools for planning effective health sector responses to disasters. The proposed recommendations can increase the applicability and interpretability of future models, thereby improving strategic, tactical, and operational aspects of preparedness planning and response.

Social, psychological, and psychiatric interventions following terrorist attacks: recommendations for practice and research

The terrorist attacks of September 11, 2001, and the constant threat of imminent terrorist activity have brought into the forefront the urgent need to prepare for the consequences of such attacks. Such preparation entails utilization of existing knowledge, identification of crucial gaps in our scientific knowledge, and taking steps to acquire this knowledge. At present, there is little empirical knowledge about interventions following terrorism and absolutely no available empirical knowledge about interventions following bioterrorism. Therefore, this paper reviews knowledge about (1) reactions following the September 11 terrorist attacks in New York City and other places, (2) the practical experiences accumulated in recent years in countries (eg, Israel) that have had to cope with the threat of bioterrorism and the reality of terrorism, and (3) interventions for acute and chronic stress reactions following other types of traumatic events (eg, rape, war, accidents). Our review found several treatments efficacious in treating individuals for acute and chronic post-traumatic stress disorder (PTSD) related to other traumatic events that will likely be efficacious in treating PTSD related to terrorist attacks. However, there were significant gaps in our knowledge about how to prepare populations and individuals for the possibility of a terrorist attack and what interventions to apply in the immediate aftermath of such an attack. Accordingly, we conclude the paper with several questions designed to guide future research.

Advances in detecting and responding to threats from bioterrorism and emerging infectious disease

Much progress has been made in recent years to strengthen local, state, national and international capacities to detect and respond to bioterrorism events and naturally occurring outbreaks of disease. New tools and systems are available to estimate the potential impact of a biological event and predict resource needs for effective response, enable earlier detection of an attack or outbreak, enhance diagnostic capacity and facilitate rapid intervention to mitigate the impact of an event on a community. These advances have required new approaches to preparedness, planning and surveillance, as well as new partnerships and collaborations across a range of disciplines. We examine some of these developments, discuss potential uses and limitations of these approaches, and identify priorities for the future.