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2009 Influenza Pandemic Impact on Sick Leave Use in the Veterans Health Administration: Framework for a Health Care Provider–Based National Syndromic Surveillance System

Published online by Cambridge University Press:  08 April 2013

Abstract

Objective: To determine relations between sick leave use and the 2009 novel influenza A (H1N1) influenza pandemic among clinical and nonclinical staff in the Veterans Health Administration (VHA).

Methods: Aggregate sick leave use for all VHA employees was monitored in near-real time during the 2009 H1N1 influenza pandemic and compared with historical data from 2004 to 2008. The ratio of sick leave use between clinical and nonclinical staff was examined. An autoregressive integrated moving average model was used to assess whether the pandemic had a significant effect on sick leave use.

Results: The H1N1 influenza pandemic was associated with a significant effect on sick leave use in the VHA during the second wave of the pandemic. During this wave, the ratio of clinical to nonclinical sick leave use changed; clinical staff began taking more leave than nonclinical staff for 3 successive 2-week pay periods, with ratio measures of 1.004, 1.018, and 1.011, respectively. Using an autoregressive integrated moving average model with a pulse variable representing the pandemic, there was a significant effect on sick leave use. The average hours of sick leave used per full-time equivalent staff member per month increased by 0.3904 hours (P = .003) for clinical staff and 0.3898 hours (P = .01) for nonclinical staff over previous months during the first month of the second pandemic wave.

Conclusions: Work loss associated with a pandemic is an important indicator of disease activity and may be a more sensitive indicator of emerging strains than deaths. Monitoring sick leave use in near real time in a large national health care system may be an important early indicator of pandemic severity with practical implications that should be considered in addition to more traditional measures of influenza epidemic and pandemic severity.

(Disaster Med Public Health Preparedness. 2011;5:S235-S241)

Type
Original Research
Copyright
Copyright © Society for Disaster Medicine and Public Health, Inc. 2011

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References

REFERENCES

1.Poalillo, FE, Geiling, J, Jimenez, EJ.Healthcare personnel and nosocomial transmission of pandemic 2009 influenza. Crit Care Med. 2010;38 4 (Suppl)e98e102.CrossRefGoogle ScholarPubMed
2.Salgado, CD, Farr, BM, Hall, KK, Hayden, FG.Influenza in the acute hospital setting. Lancet Infect Dis. 2002;2 (3):145155.CrossRefGoogle ScholarPubMed
3.Elder, AG, O’Donnell, B, McCruden, EA, Symington, IS, Carman, WF.Incidence and recall of influenza in a cohort of Glasgow healthcare workers during the 1993-4 epidemic: results of serum testing and questionnaire. BMJ. 1996;313 (7067):12411242.CrossRefGoogle Scholar
4.Centers for Disease Control and Prevention (CDC). Novel influenza A (H1N1) virus infections among health-care personnel - United States, April-May 2009. MMWR Morb Mortal Wkly Rep. 2009;58 (23):641645.Google Scholar
5.Rosvold, EO, Bjertness, E.Physicians who do not take sick leave: hazardous heroes? Scand J Public Health. 2001;29 (1):7175.CrossRefGoogle Scholar
6.Lester, RT, McGeer, A, Tomlinson, G, Detsky, AS.Use of, effectiveness of, and attitudes regarding influenza vaccine among house staff. Infect Control Hosp Epidemiol. 2003;24 (11):839844.CrossRefGoogle ScholarPubMed
7.Turnberg, W, Daniell, W, Duchin, J.Influenza vaccination and sick leave practices and perceptions reported by health care workers in ambulatory care settings. Am J Infect Control. 2010;38 (6):486488.CrossRefGoogle ScholarPubMed
8.Abramson, DM, Morse, SS, Garrett, AL, Redlener, I.Public health disaster research: surveying the field, defining its future. Disaster Med Public Health Prep. 2007;1 (1):5762.CrossRefGoogle ScholarPubMed
9.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):4256.CrossRefGoogle Scholar
10.Irvin, CB, Cindrich, L, Patterson, W, Southall, A.Survey of hospital healthcare personnel response during a potential avian influenza pandemic: will they come to work? Prehosp Disaster Med. 2008;23 (4):328335.CrossRefGoogle ScholarPubMed
11.Damery, S, Wilson, S, Draper, H.Will the NHS continue to function in an influenza pandemic? A survey of healthcare workers in the West Midlands, UK. BMC Public Health. 2009;9:142155.CrossRefGoogle Scholar
12.Mackler, N, Wilkerson, W, Cinti, S.Will first-responders show up for work during a pandemic? Lessons from a smallpox vaccination survey of paramedics. Disaster Manag Response. 2007;5 (2):4548.CrossRefGoogle ScholarPubMed
13.Santos, CD, Bristow, RB, Vorenkamp, JV.Which health care workers were most affected during the spring 2009 H1N1 pandemic? Disaster Med Public Health Prep. 2010;4 (1):4754.CrossRefGoogle ScholarPubMed
14.Baumann, AO, Blythe, JM, Underwood, JM.Surge capacity and casualization: Human resource issues in the post-SARS health system. Can J Public Health. 2006;97 (3):230232.CrossRefGoogle ScholarPubMed
15.Maunder, R, Hunter, J, Vincent, L.The immediate psychological and occupational impact of the 2003 SARS outbreak in a teaching hospital. CMAJ. 2003;168 (10):12451251.Google ScholarPubMed
16.Murray, M, Grant, J, Bryce, E, Chilton, P, Forrester, L.Facial protective equipment, personnel, and pandemics: impact of the pandemic (H1N1) 2009 virus on personnel and use of facial protective equipment. Infect Control Hosp Epidemiol. 2010;31 (10):10111016.CrossRefGoogle ScholarPubMed
17.Garrett, AL, Park, YS, Redlener, I.Mitigating absenteeism in hospital workers during a pandemic. Disaster Med Public Health Prep. 2009;3(Suppl 2)S141S147.CrossRefGoogle ScholarPubMed
18.Hanfling, D, Hick, JL.Hospitals and the novel H1N1 outbreak: the mouse that roared? Disaster Med Public Health Prep. 2009;3(Suppl 2)S100S106.CrossRefGoogle ScholarPubMed
19.US Office of Personnel Management. Accessed September 7, 2010. http://www.opm.gov.Google Scholar
20.Average Salary Report.VHA Support Service Center. http://vssc.med.va.gov/webrm/avgsalary.aspx. Accessed September 7, 2010.Google Scholar
21.Centers for Disease Control and Prevention 2009 H1N1 flu. http://www.cdc.gov/flu/weekly/fluactivitysurv.htm. Accessed July 20, 2011.Google Scholar
22.Box, GEP, Jenkins, GM, Reinsel, GCTime Series Analysis: Forecasting and Control.4th ed. Hoboken, NJ: John Wiley & Sons; 2008.Google Scholar
23.Henning, KJ.What is syndromic surveillance? MMWR Morb Mortal Wkly Rep. 2004;53(Suppl)511.Google ScholarPubMed
24.Bravata, DM, McDonald, KM, Smith, WM.Systematic review: surveillance systems for early detection of bioterrorism-related diseases. Ann Intern Med. 2004;140 (11):910922.CrossRefGoogle ScholarPubMed
25.Earnest, A, Chen, MI, Ng, D, Sin, LY.Using autoregressive integrated moving average (ARIMA) models to predict and monitor the number of beds occupied during a SARS outbreak in a tertiary hospital in Singapore. BMC Health Serv Res. 2005;5:3643.CrossRefGoogle Scholar
26.Lai, D.Monitoring the SARS epidemic in China: a time series analysis. J Data Sci. 2005;3:279293.CrossRefGoogle Scholar