Literature DB >> 10098568

Application of the ambulatory care groups in the primary care of a European national health care system: does it work?

J F Orueta1, J Lopez-De-Munain, K Báez, J M Aiarzaguena, J I Aranguren, E Pedrero.   

Abstract

BACKGROUND: Ambulatory Care Groups (ACGs), a US case-mix system that uses the patient as the unit of analysis, is particularly appropriate for health care systems in which physicians serve a defined list of patients.
OBJECTIVE: To determine the extent to which the categorization of patients according to ACGs would account for the utilization of primary care services in a national health care system within the European Union.
METHODS: Of all subjects continuously assigned to 9 physicians from public primary health care centers in Bizkaia, Basque Country (Spain) over a 12-month period, those visited at least once (n = 9,093) were included. According to the subject's age, sex, and ICD-9-CM diagnoses assigned during a year of patient-provider encounters, patients were classified by means of the ACGs system.
RESULTS: Multiple linear regression analyses indicated that age and sex did not explain more than 7.1% of the variance in annual visits made by adults and 25.7% by children to primary care physicians. However, the r2 adjusted to the ACGs model was 50% and 48%, respectively, and even higher, that is 58% and 64% for another component of the system, the Ambulatory Diagnostic Groups (ADGs).
CONCLUSIONS: Those results support the inadequacy of using the patient's age and sex alone to estimate physicians' workload in the primary health setting and the need to consider morbidity categories. The ACGs case-mix system is a useful tool for incorporating patients' morbidity in the explanation of the use of primary health care services in a European national health system.

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Year:  1999        PMID: 10098568     DOI: 10.1097/00005650-199903000-00004

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


  24 in total

1.  Assessing population health care need using a claims-based ACG morbidity measure: a validation analysis in the Province of Manitoba.

Authors:  Robert J Reid; Noralou P Roos; Leonard MacWilliam; Norman Frohlich; Charlyn Black
Journal:  Health Serv Res       Date:  2002-10       Impact factor: 3.402

2.  Evaluation of guideline-concordant care for bipolar disorder among privately insured youth.

Authors:  Sara E Evans-Lacko; Susan Dosreis; Elizabeth A Kastelic; Cristiane S Paula; Donald M Steinwachs
Journal:  Prim Care Companion J Clin Psychiatry       Date:  2010

3.  Impact of comorbidity on the individual's choice of primary health care provider.

Authors:  Andrzej Zielinski; Anders Håkansson; Anders Beckman; Anders Halling
Journal:  Scand J Prim Health Care       Date:  2011-03-17       Impact factor: 2.581

4.  Predicting persistently high primary care use.

Authors:  James M Naessens; Macaran A Baird; Holly K Van Houten; David J Vanness; Claudia R Campbell
Journal:  Ann Fam Med       Date:  2005 Jul-Aug       Impact factor: 5.166

5.  [Comparative study at 4 health centres of efficiency, measured on the basis of ambulatory care groups].

Authors:  Josep Serrat Tarrés; Antoni Sicras Mainar; Josep Ramón Llopart López; Ruth Navarro Artieda; Josep Codes Marco; Josep Antón González Ares
Journal:  Aten Primaria       Date:  2006-09-30       Impact factor: 1.137

6.  Association between fee-for-service expenditures and morbidity burden in primary care.

Authors:  Troels Kristensen; Kim Rose Olsen; Henrik Schroll; Janus Laust Thomsen; Anders Halling
Journal:  Eur J Health Econ       Date:  2013-07-02

7.  Adverse events recorded in English primary care: observational study using the General Practice Research Database.

Authors:  Carmen Tsang; Alex Bottle; Azeem Majeed; Paul Aylin
Journal:  Br J Gen Pract       Date:  2013-08       Impact factor: 5.386

8.  Validation of ACG Case-mix for equitable resource allocation in Swedish primary health care.

Authors:  Andrzej Zielinski; Maria Kronogård; Håkan Lenhoff; Anders Halling
Journal:  BMC Public Health       Date:  2009-09-18       Impact factor: 3.295

9.  Licit prescription drug use in a Swedish population according to age, gender and socioeconomic status after adjusting for level of multi-morbidity.

Authors:  Kristine Thorell; Jessica Skoog; Andrzej Zielinski; Lars Borgquist; Anders Halling
Journal:  BMC Public Health       Date:  2012-07-31       Impact factor: 3.295

10.  Distance to hospital and socioeconomic status influence secondary health care use.

Authors:  Andrzej Zielinski; Lars Borgquist; Anders Halling
Journal:  Scand J Prim Health Care       Date:  2013-01-10       Impact factor: 2.581

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