title: Predicting lawsuits against nursing homes in the United States, 1997-2001.
abstract: OBJECTIVE
  To examine how nursing home characteristics impacted the number of lawsuits filed against the facilities in the United States during 1997-2001.
  
  
  METHODS
  A stratified random sample of 2,378 nursing home in 45 states from 1997-2001. Data were obtained from Westlaw's Adverse Filings: Lawsuits database, the Centers for Medicare and Medicaid Services' (CMS) Online Survey, Certification, and Reporting (OSCAR) database, state complaint surveys, and through primary data.
  
  
  METHODS
  Negative binomial regression was used to explain total lawsuit variance by year. Explanatory variables included (a) facility characteristics-including staffing, number of beds, multistate system membership, for-profit ownership, (b) quality indicators-including total number and type of quality survey deficiencies, pressure sore development, and (c) market area-state has resident rights statutes, state complaint information. Resident acuity levels and year effects were controlled for.
  
  
  METHODS
  Nursing homes were identified and linked to Westlaw data that was searched for the number of lawsuits filed against the home, and then linked to OSCAR data and a primary data analysis of multistate chain membership.
  
  
  RESULTS
  Staffing levels for certified nursing assistants (CNAs) and registered nurses (RNs) and multistate chain membership were negatively related with higher numbers of lawsuits. More deficiencies on the licensing survey, larger, for-profit nursing homes, and being located in resident rights states were positively related with higher numbers of lawsuits.
  
  
  CONCLUSIONS
  This study suggests that nursing homes that meet long-stay staffing standards and minimum quality indicators, are nonprofit, smaller, and not located in resident rights states will experience fewer lawsuits.
authors.affiliation: North Florida/South Georgia Veteran's Health System, Gainesville, FL 32608, USA.
authors.forename: Christopher E
authors.initials: CE
authors.lastname: Johnson
authors.forename: Aram
authors.initials: A
authors.lastname: Dobalian
authors.forename: Janet
authors.initials: J
authors.lastname: Burkhard
authors.forename: Deborah K
authors.initials: DK
authors.lastname: Hedgecock
authors.forename: Jeffrey
authors.initials: J
authors.lastname: Harman
mesh_terms: D009735:Nursing Homes / Q000331:legislation & jurisprudence* / Q000458:organization & administration / Q000592:standards; D010561:Personnel Staffing and Scheduling; D019984:Quality Indicators, Health Care; D012044:Regression Analysis; D014481:United States