Literature DB >> 19231720

[Measurement of morbidity attended in an integrated health care organization].

José M Inoriza1, Jordi Coderch, Marc Carreras, Laura Vall-Llosera, Manuel García-Goñi, Josep M Lisbona, Pere Ibern.   

Abstract

INTRODUCTION: Understanding the quality, costs and outcomes of healthcare services requires precise determination of the morbidity in a population. Measurement of morbidity in a population and its association with the services provided remains to be performed. The aim of this article was to present our experience of using clinical risk groups (CRGs) to measure morbidity in an integrated healthcare organization (IHO).
METHODS: We studied the population attended by an IHO in a county (approximately 120,000 patients) from 2002 to 2005. CRGs were used to measure morbidity. A descriptive analysis was performed of the population's distribution in CRG categories and utilization rates.
RESULTS: One or more chronic diseases was found in 15.5% of the population, significant acute illness was found in 9%, minor chronic diseases was found in 7% and very severe diseases was found in 0.5%. Between 2002 and 2005, the number of individuals with chronic disease increased by 8%. The burden of illness increased with age. However, at all ages, at least 40% of the population remained healthy. Comorbidity in chronic illnesses was a crucial factor in explaining healthcare resource utilization.
CONCLUSIONS: The CRG grouping system aids analysis at different levels for clinical administration. Due to its composition, this system allows better understanding of the use, costs and quality of the set of services received by a population.

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Year:  2009        PMID: 19231720     DOI: 10.1016/j.gaceta.2008.02.003

Source DB:  PubMed          Journal:  Gac Sanit        ISSN: 0213-9111            Impact factor:   2.139


  9 in total

1.  Estimates of patient costs related with population morbidity: can indirect costs affect the results?

Authors:  M Carreras; M García-Goñi; P Ibern; J Coderch; L Vall-Llosera; J M Inoriza
Journal:  Eur J Health Econ       Date:  2010-03-20

2.  Estimating lifetime healthcare costs with morbidity data.

Authors:  Marc Carreras; Pere Ibern; Jordi Coderch; Inma Sánchez; Jose M Inoriza
Journal:  BMC Health Serv Res       Date:  2013-10-25       Impact factor: 2.655

3.  Pharmaceutical cost management in an ambulatory setting using a risk adjustment tool.

Authors:  David Vivas-Consuelo; Ruth Usó-Talamantes; Natividad Guadalajara-Olmeda; José-Luis Trillo-Mata; Carla Sancho-Mestre; Laia Buigues-Pastor
Journal:  BMC Health Serv Res       Date:  2014-10-21       Impact factor: 2.655

4.  Analysing the Costs of Integrated Care: A Case on Model Selection for Chronic Care Purposes.

Authors:  Marc Carreras; Inma Sánchez-Pérez; Pere Ibern; Jordi Coderch; José María Inoriza
Journal:  Int J Integr Care       Date:  2016-08-19       Impact factor: 5.120

5.  Survival, effect measures, and impact numbers after dementia diagnosis: a matched cohort study.

Authors:  Josep Garre-Olmo; Anna Ponjoan; José Maria Inoriza; Jordi Blanch; Inma Sánchez-Pérez; Rafel Cubí; Rosa de Eugenio; Oriol Turró-Garriga; Joan Vilalta-Franch
Journal:  Clin Epidemiol       Date:  2019-07-16       Impact factor: 4.790

6.  [Clinical validation of 2 morbidity groups in the primary care setting].

Authors:  Montse Clèries; David Monterde; Emili Vela; Àlex Guarga; Luis García Eroles; Pol Pérez Sust
Journal:  Aten Primaria       Date:  2019-02-12       Impact factor: 1.137

7.  [Morbidity observed in a health area: Impact on professionals and funding].

Authors:  Pablo de Miguel; Isabel Caballero; Francisco Javier Rivas; Jaime Manera; María Auxiliadora de Vicente; Ángel Gómez
Journal:  Aten Primaria       Date:  2014-10-23       Impact factor: 1.137

8.  Variability in Healthcare Expenditure According to the Stratification of Adjusted Morbidity Groups in the Canary Islands (Spain).

Authors:  Maria Consuelo Company-Sancho; Víctor M González-Chordá; María Isabel Orts-Cortés
Journal:  Int J Environ Res Public Health       Date:  2022-04-01       Impact factor: 3.390

9.  [Impact of cardiovascular risk factors on the consumption of resources in Primary Care according to Clinical Risk Groups].

Authors:  Magdalena Millá Perseguer; Natividad Guadalajara Olmeda; David Vivas Consuelo
Journal:  Aten Primaria       Date:  2018-06-13       Impact factor: 1.137

  9 in total

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