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Reasoning for Public Health Emergency Risk Communication

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Title: Reasoning for Public Health Emergency Risk Communication


1
Reasoning for Public Health Emergency Risk
Communication Jacqueline Merrill, RN, MPH 1,
Suzanne Bakken, DNSc 1,2 , Vimla Patel, PhD
2 1School of Nursing and 2Department of
Biomedical Informatics, Columbia University, New
York, NY
SCOPE OF THE PROBLEM
DISCUSSION
RESULTS
  • Public health risk communication in emergencies
    and urgent events is often sub optimal because
    established risk communication theory and
    principles can be overlooked
  • The routine steps of public health risk message
    development are affected by the nature of
    emergencies and urgent events (illustrated in
    model below)
  • Informatics methods can supply decision support
    tools to aid development of effective
    theory-based public health emergency risk
    messages
  • A foundational step to developing such support is
    clear understanding of the message development
    process
  • PRELIMINARY ANALYSIS
  • Subjects demonstrated sound conceptual knowledge
    of risk communication principles and theory
  • Message development steps were applied in
    different order than recommended by experts, and
    steps skipped
  • Subjects used message templates and heuristics
  • Message development relied strongly on
    collaboration and conformed to model of group
    decision making under stress
  • Naturalistic Decision Making Model conflicts with
    deliberate, consultative style of non-emergency
    decision making typical used in US public health
    agencies.
  • Factors associated with sub optimal group
    decision making in the Naturalistic Model include
    self censorship and undermined confidence
  • Sub optimal decisions are likely to contribute to
    sub-optimal messages
  • Example all subjects skipped the message
    evaluation step recommended by experts, a step
    intended to expose message weaknesses
  • Secondary analysis revealed a structured process
    with well defined goals that could be automated
  • Decision support needed, such as partially
    automated text authoring that will test message
    completeness and conformance to risk
    communication theory
  • Decision support for public health emergency risk
    message development must address institutional
    culture and process evaluation

FUTURE STUDY
  • Use rapid ethnography to explore contribution of
    public health organizational culture to message
    development process during actual urgent event
  • Model the workflow of message authors to develop
    algorithms to guide semi-automation of authoring
    process
  • Discourse analysis of existing risk messages to
    identify typical message structures and
    components of effective messages
  • Incorporate health communication theory into
    stages of automated message construction
  • SECONDARY ANALYSIS
  • Analysis focused on sequence of activities and
    steps involved
  • Goals are not ill defined (although problem may
    be)
  • Process phases (or themes) and sub-themes were
    identified
  • Process phases were cyclical or collaborative,
    sometimes both
  • Points of redundancy were message heuristic,
    standardized template and a strong collaborative
    approach

OBJECTIVES
  • Identify theory-based principles and expert
    recommendations for emergency public health risk
    communication
  • Identify features of emergency risk message
    development in high concern situations
  • Examine how practice compares with theory-based
    recommendations
  • Identify process steps in emergency message
    development

REFERENCES
1 Association of State and Territorial health
Officials. Communication in Risk Situations.
Wash. DC Author, 2002 2 Reynolds, B. Crisis
and Emergency Risk Communication. Atlanta
Centers for Disease Control and Prevention,
2002. 3 Klein, GA, Orasanu, J, Calderwood, R.
and Zsambock, CD. Decision making in action
models and methods. Norwood, CT Ablex,
1993. 4 Hinds, P.S., Vogel, R.J.,
Clarke-Steffen, L. The possibilities and pitfalls
of doing a secondary analysis of a qualitative
data set, Qualitative Health Research, 1997, vol.
7(3) 408-24.
METHODS
  • Think aloud protocol conducted with 3 experienced
    public health information officers
  • Subjects asked to describe actions performed
    while preparing public health risk communication
    to address a paper based emergency scenario
  • Preliminary analysis coded responses to published
    recommendations of emergency risk communication
    experts
  • Secondary analysis used open and axial coding to
    reveal massage process steps

ACKNOWLEDGMENTS
This work was supported by a National Institute
of Nursing Research Training Grant, T32 NR007969.
The authors thank Susan Ledlie, RN, DNSc for
consultation on secondary data analysis
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