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Assessment of Local Public Health Workers' Willingness to Respond to Pandemic Influenza through Application of the Extended Parallel Process Model

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  • Daniel J Barnett
  • Ran D Balicer
  • Carol B Thompson
  • J Douglas Storey
  • Saad B Omer
  • Natalie L Semon
  • Steve Bayer
  • Lorraine V Cheek
  • Kerry W Gateley
  • Kathryn M Lanza
  • Jane A Norbin
  • Catherine C Slemp
  • Jonathan M Links

Abstract

Background: Local public health agencies play a central role in response to an influenza pandemic, and understanding the willingness of their employees to report to work is therefore a critically relevant concern for pandemic influenza planning efforts. Witte's Extended Parallel Process Model (EPPM) has been found useful for understanding adaptive behavior in the face of unknown risk, and thus offers a framework for examining scenario-specific willingness to respond among local public health workers. We thus aim to use the EPPM as a lens for examining the influences of perceived threat and efficacy on local public health workers' response willingness to pandemic influenza. Methodology/Principal Findings: We administered an online, EPPM-based survey about attitudes/beliefs toward emergency response (Johns Hopkins∼Public Health Infrastructure Response Survey Tool), to local public health employees in three states between November 2006 – December 2007. A total of 1835 responses were collected for an overall response rate of 83%. With some regional variation, overall 16% of the workers in 2006-7 were not willing to “respond to a pandemic flu emergency regardless of its severity”. Local health department employees with a perception of high threat and high efficacy – i.e., those fitting a ‘concerned and confident’ profile in the EPPM analysis – had the highest declared rates of willingness to respond to an influenza pandemic if required by their agency, which was 31.7 times higher than those fitting a ‘low threat/low efficacy’ EPPM profile. Conclusions/Significance: In the context of pandemic influenza planning, the EPPM provides a useful framework to inform nuanced understanding of baseline levels of – and gaps in – local public health workers' response willingness. Within local health departments, ‘concerned and confident’ employees are most likely to be willing to respond. This finding may allow public health agencies to design, implement, and evaluate training programs focused on emergency response attitudes in health departments.

Suggested Citation

  • Daniel J Barnett & Ran D Balicer & Carol B Thompson & J Douglas Storey & Saad B Omer & Natalie L Semon & Steve Bayer & Lorraine V Cheek & Kerry W Gateley & Kathryn M Lanza & Jane A Norbin & Catherine , 2009. "Assessment of Local Public Health Workers' Willingness to Respond to Pandemic Influenza through Application of the Extended Parallel Process Model," PLOS ONE, Public Library of Science, vol. 4(7), pages 1-8, July.
  • Handle: RePEc:plo:pone00:0006365
    DOI: 10.1371/journal.pone.0006365
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    Cited by:

    1. Bismark Adu-Gyamfi & Rajib Shaw, 2022. "Risk Awareness and Impediments to Disaster Preparedness of Foreign Residents in the Tokyo Metropolitan Area, Japan," IJERPH, MDPI, vol. 19(18), pages 1-18, September.
    2. Ran D Balicer & Christina L Catlett & Daniel J Barnett & Carol B Thompson & Edbert B Hsu & Melinda J Morton & Natalie L Semon & Christopher M Watson & Howard S Gwon & Jonathan M Links, 2011. "Characterizing Hospital Workers' Willingness to Respond to a Radiological Event," PLOS ONE, Public Library of Science, vol. 6(10), pages 1-7, October.
    3. Georges Dionne & Denise Desjardins & Martin Lebeau & Stéphane Messier & André Dascal, 2014. "Health Care Workers' Risk Perceptions of Personal and Work Activities and Willingness to Report for Work During an Influenza Pandemic," Cahiers de recherche 1416, CIRPEE.
    4. Yasmin Khan & Adalsteinn D Brown & Anna R Gagliardi & Tracey O’Sullivan & Sara Lacarte & Bonnie Henry & Brian Schwartz, 2019. "Are we prepared? The development of performance indicators for public health emergency preparedness using a modified Delphi approach," PLOS ONE, Public Library of Science, vol. 14(12), pages 1-19, December.
    5. Samane Shirahmadi & Shabnam Seyedzadeh-Sabounchi & Salman Khazaei & Saeid Bashirian & Amir Farhang Miresmæili & Zeinab Bayat & Behzad Houshmand & Hasan Semyari & Majid Barati & Ensiyeh Jenabi & Fakhre, 2020. "Fear control and danger control amid COVID-19 dental crisis: Application of the Extended Parallel Process Model," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-12, August.

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