title: Classification of residents in nursing homes in Tuscany (Italy) using Resource Utilization Groups Version III (RUG-III).
abstract: OBJECTIVE
  Samples of nursing homes in Tuscany (Italy) classify their residents and determine their case-mix according to the Resource Utilization Groups System, Version III (RUG-III).
  
  
  METHODS
  A large sample of nursing homes was selected, based on willingness to participate, representation of both public and private institutions, and wide geographic representation. Two registered nurses assessed all residents using the RUG questionnaire. The information collected was then used to group residents into 44 RUGs, and facility-specific case-mix indices were calculated using the RUG-specific weights previously validated in Italy.
  
  
  RESULTS
  A total of 3981 residents from 93 nursing homes were assessed. Most residents were over 75 years old (87.4%) and women (68.6%). A large percentage was classified into RUGs within the following primary categories: reduced physical function (33.6%), impaired cognition (17.6%) and clinically complex (17.6%). The resulting nursing home case-mix indices ranged from 0.627 to 1.108 (mean 0.807+/-0.110). No significant association was found between type of facility, level of fees, or extent of staff in the nursing homes and their case-mix indices.
  
  
  CONCLUSIONS
  RUGIII can provide information on types of nursing home residents and their care needs. This is useful for monitoring and evaluating long-term care services for the elderly, and allows for more effective planning and allocation of staffing and financial resources.
authors.affiliation: Tuscany Regional Agency for Health, Florence, Italy.
authors.forename: Paolo
authors.initials: P
authors.lastname: Francesconi
authors.forename: Elisabetta
authors.initials: E
authors.lastname: Cantini
authors.forename: Emanuela
authors.initials: E
authors.lastname: Bavazzano
authors.forename: Fabrizio
authors.initials: F
authors.lastname: Lauretani
authors.forename: Stefania
authors.initials: S
authors.lastname: Bandinelli
authors.forename: Eva
authors.initials: E
authors.lastname: Buiatti
authors.forename: Luigi
authors.initials: L
authors.lastname: Ferrucci
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D003072:Cognition Disorders; D003953:Diagnosis-Related Groups / Q000706:statistics & numerical data*; D006233:Persons with Disabilities / Q000145:classification / Q000706:statistics & numerical data; D005260:Female; D016330:Frail Elderly / Q000706:statistics & numerical data; D006295:Health Resources / Q000706:statistics & numerical data*; D006304:Health Status; D006801:Humans; D007558:Italy; D008297:Male; D008875:Middle Aged; D020380:Needs Assessment; D009735:Nursing Homes / Q000706:statistics & numerical data*; D010361:Patients / Q000145:classification* / Q000706:statistics & numerical data; D019989:Persons with Intellectual Disabilities / Q000145:classification / Q000706:statistics & numerical data; D011787:Quality of Health Care; D040841:Resource Allocation