title: Inappropriate drug prescriptions for elderly residents of board and care facilities.
abstract: OBJECTIVE
  Using 1993 data, this study examines the prevalence of presumptively inappropriate prescriptions among residents, aged 65 and older, of board and care homes.
  
  
  METHODS
  Inappropriate drug prescriptions were identified through the use of established criteria developed for application to older nursing home residents and to community-dwelling elderly. This research used a sample of 2054 elderly residents from 410 facilities in 10 states. Weighted analyses were performed with SUDAAN, which accounted for the complex, multistage sampling design.
  
  
  RESULTS
  Depending on the criterion applied, between 20% and 25% of residents had at least one inappropriate prescription. Propoxyphene, long-acting benzodiazepines, dipyridamole, and amitriptyline were prescribed most frequently. Residents with inappropriate drug prescriptions had more complex drug regimens prescribed on a routine basis.
  
  
  CONCLUSIONS
  The results are a conservative estimate of the extent of inappropriate drug prescribing and utilization in board and care facilities. Increased involvement by pharmacists and physicians in systematic drug utilization review is warranted.
authors.affiliation: Center for Gerontology and Health Care Research, Brown University, Providence, RI, USA.
authors.forename: D L
authors.initials: DL
authors.lastname: Spore
authors.forename: V
authors.initials: V
authors.lastname: Mor
authors.forename: P
authors.initials: P
authors.lastname: Larrat
authors.forename: C
authors.initials: C
authors.lastname: Hawes
authors.forename: J
authors.initials: J
authors.lastname: Hiris
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D011307:Drug Prescriptions / Q000592:standards / Q000706:statistics & numerical data; D004363:Drug Utilization / Q000592:standards / Q000706:statistics & numerical data*; D005260:Female; D006300:Health Services Misuse / Q000706:statistics & numerical data*; D006707:Homes for the Aged / Q000706:statistics & numerical data*; D006801:Humans; D016015:Logistic Models; D008297:Male; D009735:Nursing Homes / Q000706:statistics & numerical data*; D014481:United States