Public health · 2021
Paid sick leave benefits among essential frontline workers serving people experiencing homelessness in Canada during the COVID-19 pandemic.
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Kerman N, Ecker J, Tiderington E, Gaetz S, Kidd S A
Аннотация
OBJECTIVES: This study examined the prevalence and factors associated with paid sick leave benefits among direct service providers who work with people experiencing homelessness.
STUDY DESIGN: Cross-sectional study using an online survey disseminated during the second wave of the COVID-19 pandemic in Canada.
METHODS: Survey data from 572 direct service providers working in the homeless, supportive housing, and harm reduction service sectors were analyzed for this study. Univariate and multivariate logistic regression models were used to examine predictors of paid sick leave benefits.
RESULTS: One hundred one (17.7%) participants did not have any paid sick leave benefits. In the univariate models, paid sick leave was associated with older age, greater family income, full-time work, specific employment settings (supportive housing and not emergency shelters or harm reduction programs), having a regular medical doctor, and fewer occupational impacts of the COVID-19 pandemic. Older age, full-time work, and non-receipt of emergency financial benefits remained statistically significant predictors in the multivariate model.
CONCLUSIONS: Although the majority of service providers working with people experiencing homelessness have some amount of paid sick leave benefits, there is a precariously employed subset of individuals who are younger and working part-time in the sector. Temporary expansion of paid sick leave and removal of waiting periods for new employees to qualify for benefits are recommended.
STUDY DESIGN: Cross-sectional study using an online survey disseminated during the second wave of the COVID-19 pandemic in Canada.
METHODS: Survey data from 572 direct service providers working in the homeless, supportive housing, and harm reduction service sectors were analyzed for this study. Univariate and multivariate logistic regression models were used to examine predictors of paid sick leave benefits.
RESULTS: One hundred one (17.7%) participants did not have any paid sick leave benefits. In the univariate models, paid sick leave was associated with older age, greater family income, full-time work, specific employment settings (supportive housing and not emergency shelters or harm reduction programs), having a regular medical doctor, and fewer occupational impacts of the COVID-19 pandemic. Older age, full-time work, and non-receipt of emergency financial benefits remained statistically significant predictors in the multivariate model.
CONCLUSIONS: Although the majority of service providers working with people experiencing homelessness have some amount of paid sick leave benefits, there is a precariously employed subset of individuals who are younger and working part-time in the sector. Temporary expansion of paid sick leave and removal of waiting periods for new employees to qualify for benefits are recommended.