Literature DB >> 17020712

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

Josep Serrat Tarrés1, Antoni Sicras Mainar, Josep Ramón Llopart López, Ruth Navarro Artieda, Josep Codes Marco, Josep Antón González Ares.   

Abstract

OBJECTIVE: To measure efficiency in the use of resources for the care lists of four primary care centres (PCC), by using ambulatory care Groups (ACGs).
DESIGN: Retrospective, observational study.
SETTING: Four PC teams. PARTICIPANTS: All patients attended during 2003. MEASUREMENTS: Dependent variables (costs per patient, between medical lists [family medicine, paediatrics] and PCCs) and case load variables. The model of costs for each patient was set by differentiating the semi-fixed and variable costs. The efficiency index (EI) was set as the quotient between the observed real cost and the expected cost on the basis of ACG distribution, by indirect standardization. The study population was 62,311 patients seen, with an average of 4.8+/-3.2 episodes/patient/year. MAIN
RESULTS: The total health care cost reached 24,135,236.62 euro, of which 65.2% was for prescription, 28.9% for semi-fixed costs, and 2.9% for cost of specialist referrals. The average total cost per patient/year was 387.34 euro+/-145.87 euro (average relative weight). The EI for each centre was: 0.93 (95% CI, 0.85-1.01), 0.97 (95% CI, 0.89-1.05), 1.04 (95% CI, 0.96-1.12), and 1.05 (95% CI, 0.97-1.13), P < .0001. In addition, differences between the medical lists (rank, 0.63-1.56) and between the paediatrics lists (rank, 0.73-1.26) were found (P = .005).
CONCLUSIONS: The ACGs enabled us to estimate the efficiency of our PCCs and care lists. Efficiency cannot be isolated from other dimensions of the quality of health care delivery. Study of the EI improved our understanding of the profile of professionals and health centres.

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Year:  2006        PMID: 17020712      PMCID: PMC7668675          DOI: 10.1157/13092986

Source DB:  PubMed          Journal:  Aten Primaria        ISSN: 0212-6567            Impact factor:   1.137


  21 in total

1.  Performance of the ACG case-mix system in two Canadian provinces.

Authors:  R J Reid; L MacWilliam; L Verhulst; N Roos; M Atkinson
Journal:  Med Care       Date:  2001-01       Impact factor: 2.983

2.  Ambulatory care groups: a categorization of diagnoses for research and management.

Authors:  B Starfield; J Weiner; L Mumford; D Steinwachs
Journal:  Health Serv Res       Date:  1991-04       Impact factor: 3.402

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

Authors:  J F Orueta; J Lopez-De-Munain; K Báez; J M Aiarzaguena; J I Aranguren; E Pedrero
Journal:  Med Care       Date:  1999-03       Impact factor: 2.983

4.  [A patient classification system for our primary care: the ambulatory care groups (ACGs)].

Authors:  S Juncosa; B Bolíbar
Journal:  Gac Sanit       Date:  1997 Mar-Apr       Impact factor: 2.139

5.  Applying population-based case mix adjustment in managed care: the Johns Hopkins Ambulatory Care Group system.

Authors:  N S Smith; J P Weiner
Journal:  Manag Care Q       Date:  1994

6.  Predicting resource utilization in a Veterans Health Administration primary care population: comparison of methods based on diagnoses and medications.

Authors:  Terry L Wahls; Mitchell J Barnett; Gary E Rosenthal
Journal:  Med Care       Date:  2004-02       Impact factor: 2.983

7.  [Is severity related to the utilization of resources? An exploration of the Duke Severity of Illness Scale (DUSOI)].

Authors:  C Martínez; S Juncosa; M Roset
Journal:  Aten Primaria       Date:  1998-09-30       Impact factor: 1.137

8.  Risk adjustment using automated ambulatory pharmacy data: the RxRisk model.

Authors:  Paul A Fishman; Michael J Goodman; Mark C Hornbrook; Richard T Meenan; Donald J Bachman; Maureen C O'Keeffe Rosetti
Journal:  Med Care       Date:  2003-01       Impact factor: 2.983

9.  Development and application of a population-oriented measure of ambulatory care case-mix.

Authors:  J P Weiner; B H Starfield; D M Steinwachs; L M Mumford
Journal:  Med Care       Date:  1991-05       Impact factor: 2.983

10.  Adjusted clinical groups: predictive accuracy for Medicaid enrollees in three states.

Authors:  E Kathleen Adams; Janet M Bronstein; Cheryl Raskind-Hood
Journal:  Health Care Financ Rev       Date:  2002
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  2 in total

1.  [Distribution of primary care expenditure according to sex and age group: a retrospective analysis].

Authors:  Alba Aguado; Daniel Rodríguez; Ferran Flor; Antoni Sicras; Amador Ruiz; Alexandra Prados-Torres
Journal:  Aten Primaria       Date:  2011-06-08       Impact factor: 1.137

2.  Variability in prescription drug expenditures explained by adjusted clinical groups (ACG) case-mix: a cross-sectional study of patient electronic records in primary care.

Authors:  Alba Aguado; Elisabet Guinó; Bhramar Mukherjee; Antoni Sicras; Josep Serrat; Mateo Acedo; Juan Jose Ferro; Victor Moreno
Journal:  BMC Health Serv Res       Date:  2008-03-04       Impact factor: 2.655

  2 in total

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