title: [Drug interactions in chronic prescription].
abstract: OBJECTIVE
  Application of computerized program for detection of potential drug interactions (PDI) in chronic prescriptions in four primary care centers. To evaluate the clinical significance of PDI identified according to clinical criterions.
  
  
  METHODS
  An observational crossover study.
  
  
  METHODS
  Clutat Vella health district (City of Barcelona).
  
  
  RESULTS
  Using information of Consejo General de Colegios Oficiales de Farmaceuticos databases and the chronic prescriptions database of the primary care centers, computerized drug-interaction system have been developed for detection of PDI in patients. A panel of primary care physicians and clinical pharmacists developed criteria that were used to evaluate the clinical significance of PDI. 9840 Cards of Authorized Prescription (CAP) were analyzed, 36108 medicaments and 42877 drugs. A total of 2140 patients were involved for a total of 3406 PDI, 21.75% of patients with CAP. Clinical signification for the panel was found in 40.07% of these 3406 PIF; 3.78% were suggest to avoid the association drugs.
  
  
  CONCLUSIONS
  The incidence of PDI with clinical signification are lower than other studies of the literature; it suggest a appropriate knowledge of drug prescription. The application of computerized program make much more easy the detection of adverse drug interactions in chronic prescription.
authors.affiliation: EAP Gòtic Barcelona.
authors.forename: D
authors.initials: D
authors.lastname: Comet
authors.forename: J
authors.initials: J
authors.lastname: Casajuana
authors.forename: J M
authors.initials: JM
authors.lastname: Bordas
authors.forename: M A
authors.initials: MA
authors.lastname: Fuentes
authors.forename: J A
authors.initials: JA
authors.lastname: Arnáiz
authors.forename: B
authors.initials: B
authors.lastname: Núñez
authors.forename: R
authors.initials: R
authors.lastname: Pou
mesh_terms: D018592:Cross-Over Studies; D004347:Drug Interactions; D011307:Drug Prescriptions; D006801:Humans; D007256:Information Systems; D010595:Pharmacists; D010821:Physicians, Family; D012984:Software; D013030:Spain