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A Modular Case-Mix Classification System for Medical Rehabilitation Illustrated
The authors present a modular set of patient classification systems designed for medical rehabilitation that predict resource use and outcomes for clinically similar groups of individuals. The systems, based on the Functional Independence Measure, are referred to as Function-Related Groups (FIM-FRGs...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
CENTERS for MEDICARE & MEDICAID SERVICES
1997
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4194491/ https://www.ncbi.nlm.nih.gov/pubmed/10180004 |
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author | Stineman, Margaret G. Granger, Carl V. |
author_facet | Stineman, Margaret G. Granger, Carl V. |
author_sort | Stineman, Margaret G. |
collection | PubMed |
description | The authors present a modular set of patient classification systems designed for medical rehabilitation that predict resource use and outcomes for clinically similar groups of individuals. The systems, based on the Functional Independence Measure, are referred to as Function-Related Groups (FIM-FRGs). Using data from 23,637 lower extremity fracture patients from 458 inpatient medical rehabilitation facilities, 1995 benchmarks are provided and illustrated for length of stay, functional outcome, and discharge to home and skilled nursing facilities (SNFs). The FIM-FRG modules may be used in parallel to study interactions between resource use and quality and could ultimately yield an integrated strategy for payment and outcomes measurement. This could position the rehabilitation community to take a pioneering role in the application of outcomes-based clinical indicators. |
format | Online Article Text |
id | pubmed-4194491 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 1997 |
publisher | CENTERS for MEDICARE & MEDICAID SERVICES |
record_format | MEDLINE/PubMed |
spelling | pubmed-41944912014-11-04 A Modular Case-Mix Classification System for Medical Rehabilitation Illustrated Stineman, Margaret G. Granger, Carl V. Health Care Financ Rev Innovations in Fee-for-Service Financing and Delivery The authors present a modular set of patient classification systems designed for medical rehabilitation that predict resource use and outcomes for clinically similar groups of individuals. The systems, based on the Functional Independence Measure, are referred to as Function-Related Groups (FIM-FRGs). Using data from 23,637 lower extremity fracture patients from 458 inpatient medical rehabilitation facilities, 1995 benchmarks are provided and illustrated for length of stay, functional outcome, and discharge to home and skilled nursing facilities (SNFs). The FIM-FRG modules may be used in parallel to study interactions between resource use and quality and could ultimately yield an integrated strategy for payment and outcomes measurement. This could position the rehabilitation community to take a pioneering role in the application of outcomes-based clinical indicators. CENTERS for MEDICARE & MEDICAID SERVICES 1997 /pmc/articles/PMC4194491/ /pubmed/10180004 Text en |
spellingShingle | Innovations in Fee-for-Service Financing and Delivery Stineman, Margaret G. Granger, Carl V. A Modular Case-Mix Classification System for Medical Rehabilitation Illustrated |
title | A Modular Case-Mix Classification System for Medical Rehabilitation Illustrated |
title_full | A Modular Case-Mix Classification System for Medical Rehabilitation Illustrated |
title_fullStr | A Modular Case-Mix Classification System for Medical Rehabilitation Illustrated |
title_full_unstemmed | A Modular Case-Mix Classification System for Medical Rehabilitation Illustrated |
title_short | A Modular Case-Mix Classification System for Medical Rehabilitation Illustrated |
title_sort | modular case-mix classification system for medical rehabilitation illustrated |
topic | Innovations in Fee-for-Service Financing and Delivery |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4194491/ https://www.ncbi.nlm.nih.gov/pubmed/10180004 |
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