title: Factors predicting lawsuits against nursing homes in Florida 1997-2001.
abstract: OBJECTIVE
  We explore how nursing home characteristics affect the number of lawsuits filed against the facilities in Florida during the period from 1997 to 2001.
  
  
  METHODS
  We examined data from 478 nursing homes in 30 Florida counties from 1997 to 2001. We obtained the data from Westlaw's Adverse Filings: Lawsuits database, the Online Survey, Certification, and Reporting system database from the Centers for Medicare and Medicaid Services, and state complaint surveys, and we also used primary data. We used negative binomial regression to explain total lawsuit variance by year. We controlled for acuity and year effects, and our explanatory variables included (a) facility characteristics--including staffing, number of beds, multistate system membership, and for-profit ownership--and (b) quality measures--including total number and type of state licensing survey deficiencies, pressure-sore development, and medication errors per resident.
  
  
  RESULTS
  Higher registered nurse and certified nursing assistant staffing levels were associated with fewer lawsuits. More deficiencies on the licensing survey and larger and for-profit nursing homes were positively related with higher numbers of lawsuits.
  
  
  CONCLUSIONS
  This study suggests that nursing homes that meet long-stay staffing standards, meet minimum quality measures, are not for profit, and are smaller will experience fewer lawsuits.
authors.affiliation: Rehabilitation Outcomes Research Center of Excellence, Gainsville, Fl 32608-1197, USA. Christopher.Johnson4@med.va.gov
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: D005431:Florida; D005544:Forecasting; D006801:Humans; D016365:Liability, Legal; D008318:Malpractice / Q000331:legislation & jurisprudence*; D009735:Nursing Homes / Q000331:legislation & jurisprudence*; D011787:Quality of Health Care / Q000331:legislation & jurisprudence; D012044:Regression Analysis; D018570:Risk Assessment