Caring labour, intersectionality and worker satisfaction: an analysis of the National Nursing Assistant Study (NNAS).
Caring labour in long-term care settings is increasingly important as the US population ages. Ethnographic research on nursing assistants (NAs) portrays nursing home care as routine and fast paced in facilities that emphasise life maintenance more than care. Recent interview-based and small quantitative studies describe a mix of positive and negative aspects of NA work, including the rewards of caring, despite shortcomings in working conditions and pay. The current study continues this research but, for the first time, using national data. The 2004 Centers for Disease Control and Prevention's National Nursing Assistant Study (NNAS) provides survey data from 3,017 NAs working in long-term care facilities across the US. The NNAS results confirm the importance and centrality of caring to NAs' work. NAs motivated by caring for others were significantly more satisfied with their jobs than those motivated by other reasons, such as convenience or salary. Overall, NAs report surprisingly high job satisfaction, particularly with learning new skills, doing challenging work, and organisational support for caring labour. Areas of dissatisfaction were salary, time for reproductive labour, and turnover. Intersectional analysis revealed race and citizenship played a stronger role than gender in worker satisfaction.
Rakovski
Carter C
CC
Department of Sociology, California State University Fullerton, Fullerton, California 92834-6846, USA. crakovski@fullerton.edu
Price-Glynn
Kim
K
D000328:Adult; D000367:Age Factors; D000368:Aged; D000884:Anthropology, Cultural; D005260:Female; D006707:Homes for the Aged / Q000706:statistics & numerical data*; D006801:Humans; D007588:Job Satisfaction; D008297:Male; D008875:Middle Aged; D009728:Nursing Assistants / Q000706:statistics & numerical data*; D009735:Nursing Homes / Q000706:statistics & numerical data*; D012456:Salaries and Fringe Benefits / Q000706:statistics & numerical data; D012737:Sex Factors; D012959:Socioeconomic Factors; D017132:Workplace / Q000706:statistics & numerical data