Noncompliance may result from job insecurity and financial problems associated with missing work.
In the event of a serious pandemic influenza outbreak, businesses must play a key role in protecting employees' health and safety. With regard to pandemic influenza mitigation recommendations requiring social distancing, we examined whether some US employees would disproportionately fail to comply because of job insecurity and financial problems associated with missing work. We used the 2006 Harvard School of Public Health Pandemic Influenza Survey and multivariable logistic regression to determine whether employment characteristics such as inability to work from home, lack of pay when absent from work, and self-employment would be associated with less ability to comply with recommendations. We found that inability to work from home, lack of paid sick leave, and income are associated with working adults’ ability to comply and should be major targets for workplace interventions in the event of a serious outbreak.
The world needs a detailed operational blueprint for the best way to get through 12–24 months of a pandemic influenza outbreak; that type of planning must be on the agenda of every public health agency, school board, state legislature, and business (
Should social distancing from the workplace become a reality, some members of the US workforce may be disproportionately vulnerable to compliance failure and negative outcomes of an influenza pandemic because of real and perceived job insecurity and financial problems associated with missing work. Previous research suggests that compliance with recommendations in emergency situations reflects the interaction of many modifiable and nonmodifiable factors, including how persons perceive their personal and family risk, what resources they have available, what negative consequences they anticipate as a result of compliance, their socioeconomic status, and how well official planning efforts are organized (
We hypothesized that working adults who are unable to work from home and who do not have sick leave will have less ability to comply with pandemic influenza isolation recommendations that require missing work because of fear of losing their job or business and serious financial problems that would arise from missing work. To test our hypothesis, we assessed the relative independent contribution of selected employment and sociodemographic characteristics on working adults’ ability to comply with pandemic influenza mitigation strategies involving workplace isolation.
We used data from the 2006 Harvard School of Public Health (HSPH) Pandemic Influenza Survey, a random digit–dial survey sponsored by the HSPH Project on the Public and Biological Security. The survey was conducted to provide information with regard to the public’s reaction to the possible use of social distancing and other nonpharmaceutical interventions during a severe outbreak of pandemic influenza. Survey questions assessed willingness and ability to comply with public health recommendations in 3 domains: home, school, and work.
The target population was adults
Employment characteristics for the full sample were 50% employed full time, 13% employed part time, 36% unemployed, and 1% unknown. Our study focused on employment-related constraints that may limit ability to comply with isolation recommendations; therefore, we analyzed responses from only the 1,101 respondents who were employed either full or part time (
| Characteristic | % Respondents |
|---|---|
| Female | 54 |
| Age, y | |
| 18–30 | 28 |
| 31–50 | 48 |
| 24 | |
| Annual household Income | |
| <$30,000 | 18 |
| $30,000–$49,000 | 19 |
| $50,000–$74,000 | 19 |
| 29 | |
| Education | |
| Less than HS | 12 |
| HS graduate or HS plus technical school | 29 |
| Some college, no degree | 25 |
| College degree or more | 31 |
| Race/ethnicity | |
| African-American | 11 |
| Hispanic | 14 |
| Other | 7 |
| White | 66 |
| Residence | |
| Urban | 73 |
| Rural | 27 |
| Employment | |
| Part time | 21 |
| Full time | 79 |
*HS, high school. Alll samples are weighted. Entries may not total 100% because of refused or missing responses.
Employed respondents were asked a series of questions to assess real or perceived constraints with regard to their ability to comply with pandemic influenza mitigation strategies that require isolation from the workplace. The 4 dependent variables were positive responses to the following statements: “It is likely that I or a member of my household would lose a job or business as a result of having to stay home for 7–10 days” (dichotomized; “very” and “somewhat” likely represented a positive response and “not too” and “not at all” likely represented a negative response); and “I would have serious financial problems if I stayed away from work for 7–10 days, 1 month, or 3 months.” The latter questions used a split sample, whereby only respondents who answered “no” to the 7–10 day duration were asked about financial problems that they would have at 1 month, and only those who answered “no” to having serious financial problems at 1 month were asked about the 3-month period. Many unadjusted prevalence estimates for each outcome variable (
| Variable | No. responses | % Yes | % No | % Don’t know |
|---|---|---|---|---|
| Outcome variables representing ability to comply with pandemic influenza mitigation recommendations | ||||
| If you were asked to stay home for 7–10 days and avoid contact with anyone outside your household, would you or someone in your household lose your job or business? | 1,073 | 28 | 71 | 1 |
| Would it become a serious financial problem if you stayed out of work for 7–10 days? | 1,072 | 25 | 74 | 1 |
| Would it become a serious financial problem if you stayed out of work for 1 month? | 806† | 42 | 55 | 2 |
| Would it become a serious financial problem if you stayed out of work for 3 months? | 464‡ | 45 | 51 | 4 |
| Key predictor variables representing employment-related constraints on compliance | ||||
| Unable to work from home for 1 month in the event of a serious outbreak | 1,073 | 69 | 29 | 2 |
| Would not be paid if kept from work because of a serious outbreak | 1,071 | 42 | 35 | 22 |
| Self-employed | 1,072 | 16 | 84 | – |
*All estimates are weighted. Cell counts may not total 100% due to refused or missing responses. Sample size for each question varies due to refused and missing responses. †Split sample; question asked only of those who responded “no” or “don’t know” to financial problems after 7–10 days. ‡Split sample; question asked only of those who responded “no” or “don’t know” to financial problems after 1 month.
To assess the effect of potentially modifiable employment-related constraints on compliance with recommendations that require missing work, we chose key predictor variables that represented selected employment characteristics; i.e., inability to work from home, lack of pay when absent from work, and self-employment status (
To assess the potentially disproportionate difficulties that low-income and urban populations may face if asked to stay home from work in the event of a serious outbreak, we included income and urban residence in all models. Other sociodemographic and personal characteristics assessed were education, race/ethnicity, age, sex, self-reported health status, and self-reported knowledge of pandemic influenza.
Structured analytical approaches have improved predictions of behavior in emergency situations, modeling the joint effects of several factors on planned behavior (
Each outcome used 1 full model; all models controlled simultaneously for all key predictors as well as covariates such as income, urban residence, age, race/ethnicity, education, gender, self-reported health status, and self-reported knowledge of pandemic influenza. We conducted a complete case analysis and analyzed only those 1,101 respondents who reported being employed either full or part time. Tests of significance were estimated at p<0.05, and 95% confidence intervals (CIs) were reported for all odds ratios (ORs). To adjust for unequal probabilities of selection and for potential nonresponse bias, we applied individual weighting factors to all estimates. The analysis was conducted with SAS software version 9.2 (Cary, NC, USA) by using the PROC SURVEYLOGISTIC procedure and probability sampling weights.
Of the employed respondents, 28% reported that they likely would lose their job or business as a result of having to stay home from work for 7–10 days in the event of a pandemic influenza outbreak (
| Variable | Referent | Likelihood,† OR (95% CI) | |||
|---|---|---|---|---|---|
| Lose job or business, n = 928‡ | Serious financial problems | ||||
| 7–10 d, n = 927§ | 1 mo, n = 754¶ | 3 mo, n = 472# | |||
| Employment-related constraints | |||||
| Unable to work from home for 1 mo | Able | 0.99 (0.63–1.56) | |||
| Would not be paid if kept from work | Paid | ||||
| Self-employed | Works for someone else | 1.09 (0.64–1.85) | 0.68 (0.42–1.14) | 0.66 (0.38–1.16) | |
| Sociodemographic characteristics | |||||
| Income | |||||
| <$30,000 | |||||
| $30,000–$49,000 | 1.57 (0.93–2.64) | 1.46 (0.79–2.69) | |||
| $50,000–$74,000 | 1.09 (0.64–1.84) | 1.27 (0.78–2.07) | |||
| Urban residence | Rural | 1.30 (0.84–2.01) | 1.14 (0.77–1.68) | 0.66 (0.41–1.06) | |
| Education | College | ||||
| Less than HS | 2.40 (0.84–6.80) | 1.73 (0.62–4.80) | 1.24 (0.36–4.28) | 0.45 (0.06–3.29) | |
| HS graduate or HS plus technical school | 1.62 (0.95–2.75) | 1.17 (0.69–1.99) | 0.41 (0.20–1.07) | ||
| Some college | 1.15 (0.63–2.05) | 1.25 (0.73–2.14) | 0.89 (0.55–1.42) | 0.71 (0.38–1.31) | |
| Race/Ethnicity | White | ||||
| African-American | 1.74 (0.92–3.29) | 0.56 (0.26–1.18) | 1.51 (0.77–2.95) | 0.73 (0.31–1.70) | |
| Hispanic | 1.55 (0.83–2.88) | 0.65 (0.32–1.34) | 0.74 (0.37–1.48) | 1.52 (0.65–3.57) | |
| Other | 2.23 (0.92–5.43) | 1.22 (0.45–3.26) | 0.71 (0.27–1.86) | 0.81 (0.29–2.31) | |
| Age, y | |||||
| 18–30 | 1.08 (0.56–2.05) | 0.73 (0.40–1.32) | 1.54 (0.75–3.15) | ||
| 31–50 | 1.09 (0.71–1.71) | 1.49 (0.96–2.33) | 1.04 (0.71–1.53) | 1.38 (0.88–2.16) | |
| Gender | F | 0.77 (0.53–1.13) | 0.84 (0.57–1.22) | 1.07 (0.76–1.51) | 1.07 (0.72–1.61) |
| Good health status | Poor health | 0.58 (0.29–1.13) | 0.96 (0.40–2.29) | 0.60 (0.22–1.69) | |
| Knowledge of pandemic
influenza | Never heard of | 0.59 (0.37–0.96) | 0.79 (0.49–1.30) | 1.23 (0.73–2.06) | 1.02 (0.53–1.94) |
| –2LL | 735.72 | 740.38 | 860.05 | 605.98 | |
*Multivariable fitted logistic regression models describing the odds that some groups may be less able than identified referent groups to comply with pandemic influenza mitigation strategies that require voluntary isolation from work. All estimates are weighted and controlled for age, race/ethnicity, education, gender, self-reported health status, and self-reported knowledge of pandemic influenza. OR, odds ratio; CI, confidence interval; HS, high school; LL, log likelihood.
Respondent income also was associated with reported likelihood of losing a job or business. Those who earned <$30,000 per year were 4× more likely than those who earned
Urban residence was associated with limited ability to comply with recommendations that require missing work. Respondents living in urban areas were ≈70% more likely than those living in rural areas to say that they would likely lose their job or business as a result of having to stay home for 7–10 days in the event of an outbreak (OR 1.66).
Certain employment characteristics and respondent income levels were associated with the likelihood that working adults would experience serious financial problems and thus be less able to comply with isolation recommendations, if required to miss work for long periods of time (
Respondent income also was associated with likelihood of experiencing serious financial problems if the respondent were kept from work because of an outbreak of pandemic influenza, although the models showed interesting patterns, depending on the duration of isolation. If isolated from work for 7–10 days, those who earned <$30,000 per year were 3× more likely than those who earned
The threat of a human influenza pandemic has greatly increased over the past several years with the emergence of highly virulent avian influenza viruses, notably subtype H5N1 (
Improving pandemic preparedness is critical, given the catastrophic consequences of influenza pandemics that have occurred in the past century, in 1918, 1957, and 1968; the severity of all past pandemics was substantial, ranging from 700,000 deaths (in 1968) to >50 million deaths (in 1918) (
This study may provide public health authorities with realistic expectations for the success or failure of proposed mitigation measures, given that some population subgroups may have less ability to comply with recommendations because of real or perceived job insecurity and financial problems associated with missing work. Our findings suggest that some employment characteristics (inability to work from home, lack of paid sick leave) are associated with working adults’ ability to comply with recommendations and will be major workplace intervention points (areas to target) in the event of a serious outbreak. In addition, sociodemographic characteristics (particularly low-income status) put some workers at disproportionate risk of contracting and spreading pandemic influenza because of their perceived inability to miss work. These assessments may help identify the conditions under which some groups will be disproportionately likely to fail to comply and may help with workplace efforts to plan accordingly and communicate effectively in the event of a serious outbreak of pandemic influenza.
Job insecurity, whether real or perceived, is a real consideration for many working adults. US health authorities recommend that to prepare for a pandemic, businesses should establish policies for nonpunitive liberal leave and flexible worksite accommodations (
Financial problems also are likely to weigh heavily on the minds of US workers during a pandemic, and these problems may be part of the complexity of factors that comprise compliance considerations. Although US health authorities have recommended that businesses develop policies for employee compensation in the event of an influenza pandemic that causes workplace absences (
Strengths of our study include its practical significance; our findings may help preparedness planners find work-specific strategies that may increase the likelihood of compliance with isolation recommendations. These strategies may include working with employers to ensure work-from-home or sick leave capabilities for nonessential employees and planning to provide state or federal supplementary income support and job protection for workers who would not be paid if they missed work because of official pandemic mitigation recommendations. Other countries have implemented similar measures in emergencies; for example, during the 2003 pandemic of severe acute respiratory disease, the government of Singapore provided financial support to citizens who had to stay home to prevent the spread of the disease (
Findings from our study should be considered in light of a few limitations, including the 36% response rate. Low response rates can bias samples, reflecting systematic differences between responders and the population from which they were drawn, thus limiting the external validity of estimates (extrapolation to the general population). However, the 1-month period of the survey (and thus limited time for callbacks) may mirror what might be necessary in the event of a pandemic, in which public surveys with a rapid turnaround time are necessary to gauge public knowledge and resource needs in an emergency situation. We point to research that suggests that the results of weighted data from surveys of shorter duration are similar to those based on surveys of longer duration and higher response rates and can be used without an unacceptable risk for bias (
We thank Howard K. Koh for contributing his expertise to conceptualizing and framing this research.
Dr Blake is a health scientist at the National Cancer Institute. Her research interests include media effects, public health policy, and social determinants of health.