Literature DB >> 8028403

Refining a case-mix measure for nursing homes: Resource Utilization Groups (RUG-III).

B E Fries1, D P Schneider, W J Foley, M Gavazzi, R Burke, E Cornelius.   

Abstract

A case-mix classification system for nursing home residents is developed, based on a sample of 7,658 residents in seven states. Data included a broad assessment of resident characteristics, corresponding to items of the Minimum Data Set, and detailed measurement of nursing staff care time over a 24-hour period and therapy staff time over a 1-week period. The Resource Utilization Groups, Version III (RUG-III) system, with 44 distinct groups, achieves 55.5% variance explanation of total (nursing and therapy) per diem cost and meets goals of clinical validity and payment incentives. The mean resource use (case-mix index) of groups spans a nine-fold range. The RUG-III system improves on an earlier version not only by increasing the variance explanation (from 43%), but, more importantly, by identifying residents with "high tech" procedures (e.g., ventilators, respirators, and parenteral feeding) and those with cognitive impairments; by using better multiple activities of daily living; and by providing explicit qualifications for the Medicare nursing home benefit. RUG-III is being implemented for nursing home payment in 11 states (six as part of a federal multistate demonstration) and can be used in management, staffing level determination, and quality assurance.

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Year:  1994        PMID: 8028403     DOI: 10.1097/00005650-199407000-00002

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   2.983


  130 in total

1.  Case mix adjustment in nursing systems research: the case of resident outcomes in nursing homes.

Authors:  R A Anderson; H F Su; P C Hsieh; C A Allred; S Owensby; G Joiner-Rogers
Journal:  Res Nurs Health       Date:  1999-08       Impact factor: 2.228

Review 2.  Standard cost lists for healthcare in Canada. Issues in validity and inter-provincial consolidation.

Authors:  P Jacobs; N P Roos
Journal:  Pharmacoeconomics       Date:  1999-06       Impact factor: 4.981

3.  Does investor ownership of nursing homes compromise the quality of care?

Authors:  C Harrington; S Woolhandler; J Mullan; H Carrillo; D U Himmelstein
Journal:  Am J Public Health       Date:  2001-09       Impact factor: 9.308

4.  Measuring efficiency of long-term care units in Finland.

Authors:  M A Björkgren; U Häkkinen; M Linna
Journal:  Health Care Manag Sci       Date:  2001-09

5.  Nursing home case-mix reimbursement in Mississippi and South Dakota.

Authors:  Greg Arling; Barry Daneman
Journal:  Health Serv Res       Date:  2002-04       Impact factor: 3.402

6.  Systems of care for frail older persons. InterRAI.

Authors:  K Steel; P V Jónsson; J N Dupasquier; R Gilgen; J Hirdes; M Schroll; G Ljunggren; I Carpenter; J Bjornson
Journal:  Trans Am Clin Climatol Assoc       Date:  1999

Review 7.  The drive for quality care in US nursing homes in the era of the prospective payment system.

Authors:  Carmel M Hughes; Kate L Lapane
Journal:  Drugs Aging       Date:  2002       Impact factor: 3.923

8.  The Resident Assessment Instrument-Mental Health (RAI-MH): inter-rater reliability and convergent validity.

Authors:  John P Hirdes; Trevor F Smith; Terry Rabinowitz; Keita Yamauchi; Edgardo Pérez; Nancy Curtin Telegdi; Peter Prendergast; John N Morris; Naoki Ikegami; Charles D Phillips; Brant E Fries
Journal:  J Behav Health Serv Res       Date:  2002-11       Impact factor: 1.505

9.  Prevalence and treatment of diagnosed depression among elderly nursing home residents in Ohio.

Authors:  Carrie A Levin; Wenhui Wei; Ayse Akincigil; Judith A Lucas; Scott Bilder; Stephen Crystal
Journal:  J Am Med Dir Assoc       Date:  2007-10-22       Impact factor: 4.669

10.  The impact of hospital-based skilled nursing facility closures on rehospitalizations.

Authors:  Momotazur Rahman; Jacqueline S Zinn; Vincent Mor
Journal:  Health Serv Res       Date:  2012-10-04       Impact factor: 3.402

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