| Literature DB >> 34111803 |
N Kerman1, J Ecker2, E Tiderington3, S Gaetz4, S A Kidd5.
Abstract
OBJECTIVES: This study examined the prevalence and factors associated with paid sick leave benefits among direct service providers who work with people experiencing homelessness. STUDYEntities:
Keywords: COVID-19; Community health and social services; Homelessness; Occupational health; Paid sick leave; Precarious employment
Mesh:
Year: 2021 PMID: 34111803 PMCID: PMC8547946 DOI: 10.1016/j.puhe.2021.04.022
Source DB: PubMed Journal: Public Health ISSN: 0033-3506 Impact factor: 2.427
Predictors of paid sick leave benefits among 572 direct service providers working with people experiencing homelessness.
| Predictor | Univariate models | Multivariate model | ||||
|---|---|---|---|---|---|---|
| UOR | 95% CI | AOR | 95% CI | |||
| Gender | ||||||
| Male (reference) | 1.00 | |||||
| Female/transgender/non-binary | 0.69 | 0.37–1.30 | 0.25 | |||
| Age | 1.04 | 1.02–1.06 | 1.04 | 1.02–1.07 | ||
| Ethnicity | ||||||
| White (reference) | 1.00 | |||||
| Non-white/mixed race | 1.06 | 0.61–1.86 | 0.83 | |||
| Education | ||||||
| High school or less (reference) | 1.00 | 1.00 | ||||
| College diploma | 2.34 | 1.07–5.13 | 2.56 | 0.90–7.25 | 0.08 | |
| Bachelor's degree | 1.74 | 0.83–3.62 | 0.14 | 2.34 | 0.86–6.37 | 0.10 |
| Graduate degree | 2.24 | 0.87–5.79 | 0.10 | 2.42 | 0.69–8.44 | 0.17 |
| Family income | ||||||
| $39,999 or less (reference) | 1.00 | 1.00 | ||||
| $49,000–59,999 | 5.14 | 2.66–9.95 | 2.11 | 0.91–4.92 | 0.08 | |
| $60,000–79,999 | 2.55 | 1.23–5.16 | 0.94 | 0.39–2.28 | 0.90 | |
| $80,000–99,999 | 2.69 | 1.31–5.52 | 1.31 | 0.52–3.28 | 0.57 | |
| $100,000 or more | 3.24 | 1.73–6.04 | 1.35 | 0.58–3.14 | 0.49 | |
| Work amount | ||||||
| Part-time (reference) | 1.00 | 1.00 | ||||
| Full-time | 13.41 | 8.15–22.06 | 15.54 | 8.52–28.34 | ||
| Lived experience of homelessness | 1.10 | 0.61–2.01 | 0.75 | |||
| Lived experience of behavioral health problems | 1.19 | 0.77–1.83 | 0.43 | |||
| Work setting | ||||||
| Emergency shelter | 0.57 | 0.36–0.89 | 0.64 | 0.33–1.26 | 0.20 | |
| Supportive housing | 2.03 | 1.18–3.51 | 1.38 | 0.64–2.99 | 0.41 | |
| Community-based health | 1.69 | 0.89–3.22 | 0.11 | |||
| Harm reduction | 0.40 | 0.21–0.75 | 0.73 | 0.28–1.88 | 0.51 | |
| Have a regular medical doctor | 1.75 | 1.02–3.00 | 1.32 | 0.65–2.68 | 0.44 | |
| Unmet behavioral health need | 0.94 | 0.53–1.65 | 0.83 | |||
| COVID-19 impacts | ||||||
| Worsened mental health | 1.07 | 0.63–1.82 | 0.80 | |||
| Increased stress | 1.78 | 0.88–3.58 | 0.11 | |||
| Increased alcohol use | 0.83 | 0.51–1.33 | 0.43 | |||
| Increased cannabis use | 0.83 | 0.50–1.37 | 0.46 | |||
| Decreased work hours | 0.29 | 0.18–0.48 | 0.57 | 0.29–1.13 | 0.11 | |
| Accessed financial benefits | 0.26 | 0.16–0.44 | 0.35 | 0.17–0.72 | ||
UOR = unadjusted odds ratio; AOR = adjusted odds ratio; CI = confidence interval.
Past 12 months.
A national, emergency financial benefit for workers impacted by the pandemic.