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Optimización de la información sobre la medicación de personas polimedicadas en atención primaria

Overview of attention for article published in Gaceta Sanitaria, November 2015
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Title
Optimización de la información sobre la medicación de personas polimedicadas en atención primaria
Published in
Gaceta Sanitaria, November 2015
DOI 10.1016/j.gaceta.2015.10.009
Pubmed ID
Authors

María Luisa Nicieza-García, María Esther Salgueiro-Vázquez, Francisco José Jimeno-Demuth, Gloria Manso

Abstract

As part of the protocol of the Health Service of the Principality of Asturias (Spain), primary care physicians periodically receive listings of the treatments of patients of any age taking 10 or more drugs/day for 6 months. Currently, the Health Service of the Principality of Asturias is developing a project that aims to assess the medications of polypharmacy patients. The aim is to identify: 1) the consumption of medicines of low therapeutic usefulness, 2) the consumption of potentially nephrotoxic drugs in patients with a low glomerular filtration rate, and 3) potentially inappropriate prescribing in patients aged 65 years or older. The project was started in Health Area II and the aim is to extend it to the remaining health areas. In our opinion, its automation and general implementation could be useful to optimize drug prescription.

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 3%
Unknown 32 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 27%
Student > Postgraduate 4 12%
Student > Doctoral Student 3 9%
Researcher 3 9%
Other 2 6%
Other 6 18%
Unknown 6 18%
Readers by discipline Count As %
Medicine and Dentistry 12 36%
Pharmacology, Toxicology and Pharmaceutical Science 8 24%
Nursing and Health Professions 3 9%
Social Sciences 1 3%
Decision Sciences 1 3%
Other 2 6%
Unknown 6 18%