Rural Family Caregiving: A Closer Look at the Impacts of Health, Care Work, Financial Distress, and Social Loneliness on Anxiety.
Tanya L'HeureuxJasneet ParmarBonnie DobbsLesley CharlesPeter George Jaminal TianLori-Ann SacreySharon AndersonPublished in: Healthcare (Basel, Switzerland) (2022)
Even before the COVID-19 pandemic, earlier acute care patient discharges, restricted admissions to long-term care, and reduced home care services increased the amount and complexity of family caregivers' care work. However, much less is known about rural caregivers' experiences. Thus, our aim in this sequential mixed-methods study was to understand how COVID-19 affected rural family caregivers. Thematically analyzed interviews and linear regression on survey data were used to understand family caregiver stress. Fourteen rural caregivers participated in interviews. They acknowledged that they benefitted from the circle of support in rural communities; however, they all reported having to cope with fewer healthcare and social services. 126 rural caregivers participated in the online survey. About a third (31%) of these caregivers had moderate frailty, indicating that they could benefit from support to improve their health. In linear regression, frailty, social loneliness, financial hardship, and younger age were associated with caregiver anxiety. Contrary to the qualitative reports that people in rural communities are supportive, over two-thirds of the rural caregivers completing the survey were socially lonely. Rural family caregivers are vulnerable to anxiety and social loneliness due to the nature of caregiving and the lack of healthcare and social service supports in rural areas. Primary healthcare and home care teams are well-positioned to assess caregivers' health and care situation as well as to signpost them to needed supports that are available in their areas.
Keyphrases
- healthcare
- south africa
- palliative care
- mental health
- health information
- primary care
- randomized controlled trial
- public health
- acute care
- affordable care act
- coronavirus disease
- long term care
- physical activity
- machine learning
- study protocol
- depressive symptoms
- pain management
- climate change
- respiratory syndrome coronavirus
- neural network