[Results of a benchmarking exercise for primary care teams in Barcelona, Spain].
OBJECTIVE
To identify primary care teams (PCT) with the best overall performance and compare these with other PCT with benchmarking methods.


METHODS
Descriptive, cross-sectional study of a set of indictors for the year 2002.


METHODS
City of Barcelona (northeastern Spain).


METHODS
Thirteen seven PCT with more than 2 years' experience, and 771,811 inhabitants in the catchment area.


METHODS
Indicators were chosen from among those proposed by an advisory group, depending on feasibility of obtaining information. A total of 17 indicators in 4 dimensions were studied: accessibility, clinical effectiveness, case management capacity, and cost-efficiency. Each PCT was scored for each indicator based on the percentile group in the distribution of scores, and for each dimension based on the mean score for all indicators in a given dimension. Overall score for PCT performance was calculated as the weighted sum of the scores for each dimension. As descriptive variables we analyzed time operating under the revised administrative system, patient visits per population served, the population's economic capacity and age of the population. RESULTS. Nine PCT were identified as the benchmark group. Teams in this group had been operating under the revised administrative system for significantly longer than other PCT. In comparison to other PCT, the benchmark group obtained higher scores on all four dimensions, better results on 14 separate indicators, the same results for 1 indicator, and worse results for 2 indicators. CONCLUSIONS. Benchmarking made it possible to identify PCT with the best performance, and to identify areas in need of improvement. This approach is a potentially useful tool for self-evaluation and for stimulating a dynamic for improvement in primary care providers.
Plaza Tesías
A
A
Consorci Sanitari de Barcelona, Barcelona, Spain. aplaza@catsalut.net
Zara Yahni
C
C
Guarga Rojas
A
A
Farrés Quesada
J
J
D019985:Benchmarking; D003430:Cross-Sectional Studies; D011320:Primary Health Care / Q000592:standards* / Q000706:statistics & numerical data; D012189:Retrospective Studies; D013030:Spain
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