title: A longitudinal analysis of total 3-year healthcare costs for older adults who experience a fall requiring medical care.
abstract: OBJECTIVE
  To compare longitudinal changes in healthcare costs between fallers admitted to the hospital at the time of the fall (admitted), those not admitted to the hospital (nonadmitted), and nonfaller controls; test hypotheses related to differences in mean costs between and within these groups over time; and estimate the costs attributable to falling.
  
  
  METHODS
  Longitudinal cohort.
  
  
  METHODS
  Group Health Cooperative of Puget Sound.
  
  
  METHODS
  Seven thousand nine hundred ninety-three nonadmitted fallers, 976 admitted fallers, and 8,956 nonfallers aged 67 and older enrolled in an integrated healthcare delivery system. Fallers were identified according to fall-related E-Codes and International Classification of Diseases, Ninth Revision codes recorded between January 1, 2004, and December 31, 2006. Nonfallers were frequency matched on age group and sex.
  
  
  METHODS
  Quarterly costs during a 3-year period were modeled using generalized estimating equations. Covariates included index age, sex, RxRisk (a comorbidity adjuster), fall status, time, and interactions between fall status and time.
  
  
  RESULTS
  Cost differences between the faller cohorts and nonfallers were greatest in quarters closest to the fall (all P<.01) and persisted throughout the entire year of follow-up. Although nonfaller costs increased with time, faller cohort costs increased more quickly (all P<.01). For admitted fallers, 92% of costs incurred in the quarter of the fall were estimated to be attributable to falling ($27,745 of $30,038, P<.001).
  
  
  CONCLUSIONS
  Falls for which medical attention are sought resulted in higher costs than for nonfallers for up to 12 months after a fall, particularly for falls requiring hospitalization. Prevention efforts should focus on reducing fall-related injuries requiring hospitalization because they produce the highest excess costs and have a higher likelihood of 1-year mortality.
authors.affiliation: Health Promotion Research Center, University of Washington, Seattle, Washington 98105, USA. aabohl@u.washington.edu
authors.forename: Alex A
authors.initials: AA
authors.lastname: Bohl
authors.forename: Paul A
authors.initials: PA
authors.lastname: Fishman
authors.forename: Marcia A
authors.initials: MA
authors.lastname: Ciol
authors.forename: Barbara
authors.initials: B
authors.lastname: Williams
authors.forename: James
authors.initials: J
authors.lastname: Logerfo
authors.forename: Elizabeth A
authors.initials: EA
authors.lastname: Phelan
mesh_terms: D000058:Accidental Falls / Q000191:economics; D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D015897:Comorbidity; D005260:Female; D017048:Health Care Costs / Q000706:statistics & numerical data*; D006760:Hospitalization; D006801:Humans; D008137:Longitudinal Studies; D008297:Male; D012680:Sensitivity and Specificity; D012737:Sex Factors; D013223:Statistics as Topic; D013995:Time; D014861:Washington