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Identification of registered nursing care of residents in English nursing homes using the minimum data set resident assessment instrument (MDS/RAI) and resource utilization groups version 111 (RUG-111)

Carpenter, G. Iain, Perry, Michelle, Challis, David J., Hope, Kevin (2003) Identification of registered nursing care of residents in English nursing homes using the minimum data set resident assessment instrument (MDS/RAI) and resource utilization groups version 111 (RUG-111). Age and Ageing, 32 (3). pp. 279-285. (doi:10.1093/ageing/32.3.279) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:722)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
http://dx.doi.org/10.1093/ageing/32.3.279

Abstract

Aim: to determine if a combination of Minimum Data Set/Resident Assessment Instrument (MDS/RAI) assessment

identifying and reimbursing registered nursing care needs in long-term care.

and care providers in England. The study included assessments of residents’ care needs using either the MDS/RAI

by residents over a 24-h period. Validity of RUG-III for explaining the distribution of care time between residents in

(RGN) and care assistants (CA) to residents in RUG-III clinical groups was compared.

groups associated with particular medical and nursing needs (enhanced RGN care) received more than twice as much

residents with primarily cognitive impairment or physical problems only (standard RGN care). Residents with

average of 31.1 min (95% CI 26.8–35.5) for residents in the standard RGN care group. A third low RGN care group

levels, the enhanced care group receives about 38% more than the standard group, and the low group receives about

Conclusions: the RUG-III system effectively differentiated between nursing home residents who are receiving ‘low’,

registered nursing time in long-term care facilities in the UK.

Item Type: Article
DOI/Identification number: 10.1093/ageing/32.3.279
Uncontrolled keywords: elderly, assessment, long-term care, reimbursement, case-mix
Subjects: H Social Sciences
H Social Sciences > HV Social pathology. Social and public welfare
Divisions: Faculties > Social Sciences > School of Social Policy Sociology and Social Research > Centre for Health Services Studies
Faculties > Social Sciences > School of Social Policy Sociology and Social Research
Depositing User: Samantha Osborne
Date Deposited: 19 Dec 2007 18:26 UTC
Last Modified: 28 May 2019 13:35 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/722 (The current URI for this page, for reference purposes)
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