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Classification of residents in nursing homes in Tuscany (Italy) using Resource Utilization Groups Version III (RUG-III)

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Abstract

Background and aims: 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: RUG-III 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.

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Authors and Affiliations

  1. Tuscany Regional Agency for Health, Florence

    Paolo Francesconi, Emanuela Bavazzano & Eva Buiatti

  2. Laboratory of Clinical Epidemiology, Italian National Institute of Research and Care on Aging, Florence, Italy

    Elisabetta Cantini, Fabrizio Lauretani & Stefania Bandinelli

  3. National Institute on Aging, Clinical Research Branch, Longitudinal Studies Section, NIA-ASTRA Unit, Harbor Hospital, 5th Floor, 3001 S. Hanover Street, Baltimore, Maryland, 21225, USA

    Luigi Ferrucci MD, PhD

Authors
  1. Paolo Francesconi
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  2. Elisabetta Cantini
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  3. Emanuela Bavazzano
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  4. Fabrizio Lauretani
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  5. Stefania Bandinelli
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  6. Eva Buiatti
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  7. Luigi Ferrucci MD, PhD
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Corresponding author

Correspondence to Luigi Ferrucci MD, PhD.

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Francesconi, P., Cantini, E., Bavazzano, E. et al. Classification of residents in nursing homes in Tuscany (Italy) using Resource Utilization Groups Version III (RUG-III). Aging Clin Exp Res 18, 133–140 (2006). https://doi.org/10.1007/BF03327428

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  • DOI: https://doi.org/10.1007/BF03327428

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