title: [Analysis of the induced prescription in a primary care region].
abstract: OBJECTIVE
  To find out the prevalence, origin and cost associated with Induced Prescription (IP) in Primary Health Care (PHC) in the West of Gipuzkoa (WG). To find out the extent to which PHC doctors agree with IP. To analyse the adaptation of IP to PHC clinical management contract indicators.
  
  
  METHODS
  Design descriptive multi-centre cross-study.
  
  
  METHODS
  Primary Health Care, 38 doctors from 17 WG PHC units.
  
  
  METHODS
  Pharmaceutical prescriptions eligible for finance over a period of two days in outpatients and chronic diseases generated by the Osabide computer application. Variables analysed: type of prescription, origin, prescriber, diagnosis, price and level of agreement.
  
  
  RESULTS
  A total of 6.919 prescriptions were made out, with 44% (95% CI: 42.8-45.1) being IP. Of the total cost, 62.2% was put down to IP, with an average price per prescription of €22.3,and in non-induced prescription (NIP) it was €10.62. The therapeutic subgroups with the highest cost were lipid lowering and bronchodilator drugs. The level of disagreement of the doctors taking part in IP was 28.8%. The adaptation to the quality indicators of the prescription was higher in NIP than in IP.
  
  
  CONCLUSIONS
  There is a high percentage of IP associated with high costs attributed to PHC. The percentage of disagreement in PHC with regard to IP is significant. There is a high influence of IP on the evaluation of the quality indicators established in PHC.
authors.affiliation: Medicina Familiar, Grupo de Investigación de la Comarca Oeste de Guipuzcoa (CGO), Centro de Salud de Aretxabaleta, Gipuzkoa, Spain. sofia.perezgil@osakidetza.net
authors.forename: S
authors.initials: S
authors.lastname: Pérez Gil
authors.forename: J
authors.initials: J
authors.lastname: Millas Ros
authors.forename: M C
authors.initials: MC
authors.lastname: López Zúñiga
authors.forename: M J
authors.initials: MJ
authors.lastname: Arzuaga Arambarri
authors.forename: A
authors.initials: A
authors.lastname: Aldanondo Gabilondo
authors.forename: R
authors.initials: R
authors.lastname: San Vicente Blanco
mesh_terms: D003365:Costs and Cost Analysis; D003430:Cross-Sectional Studies; D011307:Drug Prescriptions / Q000191:economics* / Q000592:standards / Q000706:statistics & numerical data*; D006801:Humans; D011320:Primary Health Care; D013030:Spain