Covid-19: Home Health Aides' Perceived Preparedness and Self-Reported Availability for Work: Six Month Survey Results.
Penny H FeldmanYolanda BarrónNicole OnoratoDavid RussellMadeline R SterlingMargaret McDonaldPublished in: New solutions : a journal of environmental and occupational health policy : NS (2023)
Throughout the COVID-19 pandemic New York City home health aides continuously provided care, including to patients actively infected or recovering from COVID-19. Analyzing survey data from 1316 aides, we examined factors associated with perceptions of how well their employer prepared them for COVID-19 and their self-reported availability for work (did they "call out" more than usual). Organizational work environment and COVID-19-related supports were predominant predictors of self-reported perceptions of preparedness. Worker characteristics and COVID-19-related stressors were predominant predictors of self-reported availability. Mental distress, satisfaction with employer communications, and satisfaction with supervisor instructions were significantly associated with both outcomes. The study uniquely describes self-reported perceptions of preparedness and availability as two separate worker outcomes potentially modifiable by different interventions. Better public health emergency training and adequate protective equipment may increase aides' perceived preparedness; more household supports could facilitate their availability. More effective employer communications and mental health initiatives could potentially improve both outcomes. Industry collaboration and systemic changes in federal, state, and local policies should enhance intervention impacts.
Keyphrases
- public health
- coronavirus disease
- healthcare
- mental health
- sars cov
- physical activity
- global health
- primary care
- respiratory syndrome coronavirus
- social support
- randomized controlled trial
- end stage renal disease
- newly diagnosed
- type diabetes
- mental illness
- chronic kidney disease
- quality improvement
- palliative care
- electronic health record
- chronic pain
- adipose tissue
- insulin resistance
- infectious diseases
- social media
- health information
- human health