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Los adjusted clinicals groups

Un sistema de clasificación de pacientes por ajuste de riesgos

Bibliographic Data

ID15534296
AuthorsAntonio Sicras-Mainar, Ruth Navarro-Artieda, Ruth Navarro‐Artieda (Hospital Universitari Germans Trias i Pujol)
Year2014
Volume30
Issue2
Pages308-14
Publication date2014-02-10
Open AccessYes
TypeARTICLE
VenueRevista Peruana de Medicina Experimental y Salud Pública (JOURNAL)
Journal identifiersISSN: 1726-4634 • E-ISSN: 1726-4642
PublisherNational Institute of Health of Peru (PUBLISHER • PE)
DOI10.17843/rpmesp.2013.302.210
PMID23949520
OpenAlexW2099443727
LanguageEN
Citations received1
References cited4

Adjusted Clinical Groups (ACG) are risk adjustment systems that classify people according to their age, sex and medical conditions, these people have a similar consumption of health resources over a given period of time. They were developed by Starfield and Weiner (Johns Hopkins University, USA, 1991), and their objective is to measure the degree of illness among patients based on the levels of comorbidity. Their main applications are: a) the evaluation of the efficiency in the use of health services, b) measurement of population's comorbidity, and c) to program the funding or capitation fee for groups of providers. Some of the advantages of the ACG system are the limited number of variables needed for each patient (age, sex and diagnosis) and the unit of measurement, which is the patient. Some characteristics of this population risk adjustment system are commented

Capitation · Comorbidity · Environmental health · Health care · Population · Psychiatry · Unit (ring theory · Chronic Disease Management Strategies · Demography · Health Systems, Economic Evaluations, Quality of Life · Healthcare Policy and Management · Medicine · Psychology · Gerontology

  • Conexión de registros sanitarios

    Open Access•Dolores Muñoyerro-Muñiz, Juan Antonio Goicoechea-Salazar et al.•Gaceta Sanitaria•2020

  • Defining Comorbidity

    Open Access•Jose M Valderas, Barbara Starfield et al.•The Annals of Family Medicine•2009

  • Predicting Resource Utilization in a Veterans Health Administration Primary Care Population

    Terry L Wahls, Mitchell J Barnett et al.•Medical Care•2004

  • Development and Application of a Population-Oriented Measure of Ambulatory Care Case-Mix

    Jonathan P Weiner, Barbara Starfield et al.•Medical Care•1991

  • Using Risk-Adjustment Models to Identify High-Cost Risks

    Richard T Meenan, Michael J Goodman et al.•Medical Care•2003

Citations per year0.17
Citation span2020 - 2020 (1)
Highly citedNo

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Open DOIOpen Access
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