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Do Shared Barriers When Reporting to Work During an Influenza Pandemic Influence Hospital Workers’ Willingness to Work? A Multilevel Framework

Published online by Cambridge University Press:  17 April 2015

Yoon Soo Park ,
Laudan Behrouz-Ghayebi  and
Jonathan J. Sury
Yoon Soo Park*
Affiliation:
University of Illinois College of Medicine at Chicago, Chicago, Illinois
Laudan Behrouz-Ghayebi
Affiliation:
Mailman School of Public Health, Columbia University, New York, New York
Jonathan J. Sury
Affiliation:
National Center for Disaster Preparedness, Earth Institute, Columbia University, New York, New York. Ms Behrouz-Ghayebi is now with the University of New England, Bidderford, Maine.
*
Correspondence and reprint requests to Yoon Soo Park, PhD, Assistant Professor, University of Illinois, College of Medicine at Chicago, 808 South Wood Street, 963 CMET, Chicago, IL 60612-7309 (e-mail: yspark2@uic.edu).
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Abstract

Objective

Characteristics associated with interventions and barriers that influence health care workers’ willingness to report for duty during an influenza pandemic were identified. Additionally, this study examined whether workers who live in proximal geographic regions shared the same barriers and would respond to the same interventions.

Methods

Hospital employees (n=2965) recorded changes in willingness to work during an influenza pandemic on the basis of interventions aimed at mitigating barriers. Distance from work, hospital type, job role, and family composition were examined by clustering the effects of barriers from reporting for duty and region of residence.

Results

Across all workers, providing protection for the family was the greatest motivator for willingness to work during a pandemic. Respondents who expressed the same barriers and lived nearby shared common responses in their willingness to work. Younger employees and clinical support staff were more receptive to interventions. Increasing distance from home to work was significantly associated with a greater likelihood to report to work for employees who received time off.

Conclusions

Hospital administrators should consider the implications of barriers and areas of residence on the disaster response capacity of their workforce. Our findings underscore communication and development of preparedness plans to improve the resilience of hospital workers to mitigate absenteeism (Disaster Med Public Health Preparedness. 2015;9:175-185).

Keywords

community health planningpandemicscommunicationdisaster planning
Type
Original Research
Information
Disaster Medicine and Public Health Preparedness , Volume 9 , Issue 2 , April 2015 , pp. 175 - 185
Copyright
Copyright © Society for Disaster Medicine and Public Health, Inc. 2015 

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References

REFERENCES

1. Chaffee, M. Willingness of health care personnel to work in a disaster: an integrative review of the literature. Disaster Med Public Health Prep. 2009;3(1):42-56.Google Scholar
2. Balicer, RD, Barnett, DJ, Thompson, CB, et al. Characterizing hospital workers' willingness to report to duty in an influenza pandemic through threat- and efficacy-based assessment. BMC Public Health. 2010;10:436.Google Scholar
3. NYC Influenza Information. Surveillance Data. The City of New York website. http://www.nyc.gov/html/doh/flu/html/data/data.shtml. Accessed August 31, 2010.Google Scholar
4. Garrett, AL, Park, YS, Redlener, I. Mitigating absenteeism in hospital workers during a pandemic. Disaster Med Public Health Prep. 2009;3(Suppl 2):S141-S147.Google Scholar
5. Qureshi, K, Gershon, RR, Sherman, MF, et al. Health care workers' ability and willingness to report to duty during catastrophic disasters. J Urban Health. 2005;82(3):378-388.Google Scholar
6. Seale, H, Leask, J, Kieren, P, et al. Will they just pack up and leave? – attitudes and intended behavior of hospital health care workers during an influenza pandemic. BMC Health Serv Res. 2009;9:1-8.Google Scholar
7. Ives, J, Greenfield, S, Parry, JM, et al. Healthcare workers' attitudes to working during pandemic influenza: a qualitative study. BMC Public Health. 2009;9:56.Google Scholar
8. Gershon, RR, Magda, LA, Qureshi, KA, et al. Factors associated with the ability and willingness of essential workers to report to duty during a pandemic. J Occup Environ Med. 2010;52(10):995-1003.Google Scholar
9. Qureshi, KA, Merrill, JA, Gershon, RR, et al. Emergency preparedness training for public health nurses: a pilot study. J Urban Health . 2002;79(3):413-416.Google Scholar
10. Sampson, RJ, Raudenbush, SW, Earls, F. Neighborhoods and violent crime: a multilevel study of collective efficacy. Science. 1997;277(5328):918-924.Google Scholar
11. Raudenbush, SW, Sampson, RJ. Ecometrics: toward a science of assessing ecological settings, with application to the systematic social observation of neighborhoods. Sociol Methodol. 1999;29:1-41.Google Scholar
12. Skrondal, A, Rabe-Hesketh, S. Generalized Latent Variable Modeling: Multilevel, Longitudinal, and Structural Equation Models. Boca Raton, FL: Chapman & Hall/CRC; 2004.Google Scholar
13. Raudenbush, SW, Bryk, AS. Hierarchical Linear Models: Applications and Data Analysis Methods. 2nd ed. Thousand Oaks, CA: Sage Publications; 2002.Google Scholar
14. Rabe-Hesketh, S, Skrondal, A. Multilevel and Longitudinal Modeling Using Stata. 2nd ed. College Station, TX: Stata Press Publication; 2008.Google Scholar
15. Stata Statistical Software [computer program]. Version 10. College Station, TX: StatCorp LP; 2007.Google Scholar
16. Tele Atlas North America Inc., ed. USA Zip Polygons. Redlands, CA: ESRI Data & Maps; 2006.Google Scholar
17. Hawth's Analysis Tools for ArcGIS [computer program]. 2004. http://www.spatialecology.com/htools/index.php. Accessed January 15, 2015.Google Scholar
18. Scherbaum, CA, Ferreter, J. Estimating statistical power and required sample sizes for organizational research using multilevel modeling. In: Vogt WP, ed. SAGE Quantitative Research Methods. Volume 1. London: SAGE; 2011:127-151.Google Scholar
19. Bliese, P. Within-group agreement, non-independence and reliability: implications for data aggregation and analyses. In: Klein KJ, Kozlowski SWJ, eds. Multilevel Theory, Research, and Methods in Organizations: Foundations, Extensions, and New Directions. San Francisco, CA: Jossey-Bass; 2000:349-381.Google Scholar
20. Snijders, T, Bosker, R. Multilevel Analysis: An Introduction to Basic and Advanced Multilevel Modeling. Thousand Oaks, CA: Sage; 1999.Google Scholar
21. DiMaggio, C, Markenson, D, Loo, G, et al. The willingness of U.S. emergency medical technicians to respond to terrorist incidents. Biosecur Bioterror. 2005;3:331-337.Google Scholar
22. Kruus, L, Karras, D, Seals, B, et al. Healthcare Worker Response to Disaster Conditions. Chicago, IL: Society of Academic Emergency Medicine; 2007.Google Scholar
23. Imai, H, Matsuishi, K, Ito, A, et al. Factors associated with motivation and hesitation to work among health professionals during a public crisis; a cross sectional study of hospital works in Japan during the pandemic (H1N1) 2009. BMC Public Health. 2010;10:1-8.Google Scholar
24. Martin, SD, Brown, LM, Reid, M. Predictors of nurses’ intentions to work during the 2009 influence A (H1N1) Pandemic. Am J Nurs. 2013;113:24-31.Google Scholar
25. Baack, S, Alfred, D. Nurses’ preparedness and perceived competence in managing disasters. J Nurs Scholarsh. 2013;45:281-287.Google Scholar
26. Quinn, SC. Crisis and emergency risk communication in a pandemic: a model for building capacity of minority communities. Health Promot Pract. 2008;9:18S-25S.Google Scholar
27. Gamboa-Maldonado, T, Marshak, HH, Sinclair, R, et al. Building capacity for community disaster preparedness: a call for collaboration between public environmental health and emergency preparedness and response programs. J Environ Health. 2012;75:24-29.Google Scholar
28. Mitchell, M, Mackie, B, Aitken, LM, et al. Evaluation of an Australian nursing partnership to improve disaster response capacity. Disaster Prev Manage. 2014;23:524-532.Google Scholar
29. Arbon, P, Ranse, J, Cusack, L, et al. Australasian emergency nurses’ willingness to attend work in a disaster: a survey. Australas Emerg Nurs J. 2013;16:52-57.CrossRefGoogle Scholar