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Evaluación de la eficiencia técnica de la atención primaria pública en el País Vasco, 2010-2013

Overview of attention for article published in Gaceta Sanitaria, March 2016
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  • Good Attention Score compared to outputs of the same age (72nd percentile)

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Title
Evaluación de la eficiencia técnica de la atención primaria pública en el País Vasco, 2010-2013
Published in
Gaceta Sanitaria, March 2016
DOI 10.1016/j.gaceta.2015.11.002
Pubmed ID
Authors

José Manuel Cordero, Roberto Nuño-Solinís, Juan F. Orueta, Cristina Polo, Mario del Río-Cámara, Edurne Alonso-Morán

Abstract

To evaluate the technical efficiency of primary care units operating in the Basque Health Service during the period 2010-2013, corresponding to the implementation of a care integration strategy by health authorities. This study included 11 of the 12 primary care units in the Basque Health Service during the period 2010-2013. Data envelopment analysis (DEA) was used to assess the technical efficiency of the units. In particular, we applied the extension DEA windows to analyse all units as if they were in a single period (33 observations) as well as a conditional model, which allowed incorporation of the effect of the characteristics of the population covered. The outputs considered were a quality index based on fulfilment of different requirements related to primary care delivery and the rate of avoidable hospitalizations (treated as an undesirable output). The inputs used were the number of physicians, the number of nurses and the costs of prescriptions. The morbidity index was included as an exogenous variable. The results showed that the efficiency of all the units improved during the study period. However, this improvement was not greater in the units incorporated in the integrated healthcare organisation. In a context of global transformation of care delivery in the Basque country in the study period, primary care units increased their efficiency. However, this effect was not larger in vertically integrated primary care providers.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Peru 1 2%
Unknown 55 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 21%
Student > Bachelor 9 16%
Researcher 8 14%
Student > Doctoral Student 7 13%
Professor 6 11%
Other 9 16%
Unknown 5 9%
Readers by discipline Count As %
Economics, Econometrics and Finance 10 18%
Engineering 9 16%
Nursing and Health Professions 7 13%
Medicine and Dentistry 5 9%
Social Sciences 3 5%
Other 12 21%
Unknown 10 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 December 2015.
All research outputs
#6,691,364
of 25,986,827 outputs
Outputs from Gaceta Sanitaria
#52
of 52 outputs
Outputs of similar age
#85,315
of 313,869 outputs
Outputs of similar age from Gaceta Sanitaria
#1
of 4 outputs
Altmetric has tracked 25,986,827 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 52 research outputs from this source. They receive a mean Attention Score of 2.8. This one has done particularly well, scoring higher than 99% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 313,869 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them