title: A profile of home care workers from the 2000 census: how it changes what we know.
abstract: OBJECTIVE
  The goal of our study was to identify a representative sample of direct care aides to generate an accurate profile of the long-term-care workforce, with a special focus on home care workers.
  
  
  METHODS
  Data were taken from the 5% Public Use Microdata Sample (PUMS) of the 2000 Census.
  
  
  RESULTS
  Variable coding in the 2000 Census data allowed for a more detailed identification of long-term-care workers than was available in previous studies. On the basis of this new sample, the estimated size of the home care workforce is much larger than that in previous estimates, and it is more heterogeneous. In addition, our analyses revealed more self-employed workers, higher salaries than previously reported, and greater ethnic diversity, with Hispanics or Latinos comprising a significant proportion of the home care workforce.
  
  
  CONCLUSIONS
  Numerous state and federal programs are currently underway to increase the capacity of the long-term-care workforce. A more comprehensive understanding of the characteristics of the long-term-care workforce will facilitate more effective development of programs designed to enhance recruitment and retention of these workers to meet the increasing demands of future years.
authors.affiliation: Helen Bader School of Social Welfare, University of Wisconsin-Milwaukee, 53201, USA. rm@uwm.edu
authors.forename: Rhonda J V
authors.initials: RJ
authors.lastname: Montgomery
authors.forename: Lyn
authors.initials: L
authors.lastname: Holley
authors.forename: Jerome
authors.initials: J
authors.lastname: Deichert
authors.forename: Karl
authors.initials: K
authors.lastname: Kosloski
mesh_terms: D000328:Adult; D000368:Aged; D019352:Censuses; D003150:Community Health Workers; D005260:Female; D018576:Home Health Aides / Q000706:statistics & numerical data; D006801:Humans; D007182:Income / Q000706:statistics & numerical data; D008134:Long-Term Care / Q000706:statistics & numerical data; D008297:Male; D008875:Middle Aged; D013997:Time Factors; D014481:United States