title: [Analysis of complaints in primary care using statistical process control].
abstract: OBJECTIVE
  To analyze patient complaints in a Primary Health Care District (PHCD) using statistical process control methods compared to multivariate methods, as regards their results and feasibility of application in this context.
  
  
  METHODS
  Descriptive study based on an aggregate analysis of administrative complaints.
  
  
  METHODS
  Complaints received between January 2005 and August 2008 in the Customer Management Department in the 3rd PHCD Management Office, Madrid Health Services. Complaints are registered through Itrack, a computer software tool used throughout the whole Community of Madrid.
  
  
  METHODS
  Total number of complaints, complaints sorted by Reason and Primary Health Care Team (PHCT), total number of patient visits (including visits on demand, appointment visits and home visits) and visits by PHCT and per month and year.
  
  
  METHODS
  Multivariate analysis and control charts were used.
  
  
  RESULTS
  44-month time series with a mean of 76 complaints per month, an increasing trend in the first three years and decreasing during summer months. Poisson regression detected an excess of complaints in 8 out of the 44 months in the series. The control chart detected the same 8 months plus two additional ones.
  
  
  CONCLUSIONS
  Statistical process control can be useful for detecting an excess of complaints in a PHCD and enables comparisons to be made between different PHC teams. As it is a simple technique, it can be used for ongoing monitoring of customer perceived quality.
authors: Residente de Medicina Preventiva y Salud Pública, Hospital La Princesa, Madrid, España.
authors: Antonio
authors: A
authors: Valdivia Pérez
authors: Lourdes
authors: L
authors: Arteaga Pérez
authors: Esperanza
authors: E
authors: Escortell Mayor
authors: Susana
authors: S
authors: Monge Corella
authors: José Enrique
authors: JE
authors: Villares Rodríguez
mesh_terms: D003196:Computer Graphics; D005240:Feasibility Studies; D006801:Humans; D015999:Multivariate Analysis; D009819:Office Visits / Q000706:statistics & numerical data; D017060:Patient Satisfaction / Q000706:statistics & numerical data*; D016012:Poisson Distribution; D011320:Primary Health Care / Q000458:organization & administration* / Q000706:statistics & numerical data; D017064:Process Assessment, Health Care / Q000706:statistics & numerical data*; D011785:Quality Assurance, Health Care / Q000458:organization & administration* / Q000706:statistics & numerical data; D012189:Retrospective Studies; D012621:Seasons; D012984:Software; D013030:Spain