title: Effectiveness of the introduction of a Chronic Care Model-based program for type 2 diabetes in Belgium.
abstract: BACKGROUND
  During a four-year action research project (2003-2007), a program targeting all type 2 diabetes patients was implemented in a well-defined geographical region in Belgium. The implementation of the program resulted in an increase of the overall Assessment of Chronic Illness Care (ACIC) score from 1.45 in 2003 to 5.5 in 2007. The aim of the follow-up study in 2008 was to assess the effect of the implementation of Chronic Care Model (CCM) elements on the quality of diabetes care in a country where the efforts to adapt primary care to a more chronic care oriented system are still at a starting point.
  
  
  METHODS
  A quasi-experimental study design involving a control region with comparable geographical and socio-economic characteristics and health care facilities was used to evaluate the effect of the intervention in the region. In collaboration with the InterMutualistic Agency (IMA) and the laboratories from both regions a research database was set up. Study cohorts in both regions were defined by using administrative data from the Sickness Funds and selected from the research database. A set of nine quality indicators was defined based on current scientific evidence. Data were analysed by an institution experienced in longitudinal data analysis.
  
  
  RESULTS
  In total 4,174 type 2 diabetes patients were selected from the research database; 2,425 patients (52.9% women) with a mean age of 67.5 from the intervention region and 1,749 patients (55.7% women) with a mean age of 67.4 from the control region. At the end of the intervention period, improvements were observed in five of the nine defined quality indicators in the intervention region, three of which (HbA1c assessment, statin therapy, cholesterol target) improved significantly more than in the control region. Mean HbA1c improved significantly in the intervention region (7.55 to 7.06%), but this evolution did not differ significantly (p = 0.4207) from the one in the control region (7.44 to 6.90%). The improvement in lipid control was significantly higher (p = 0.0021) in the intervention region (total cholesterol 199.07 to 173 mg/dl) than in the control region (199.44 to 180.60 mg/dl). The systematic assessment of long-term diabetes complications remained insufficient. In 2006 only 26% of the patients had their urine tested for micro-albuminuria and only 36% had consulted an ophthalmologist.
  
  
  CONCLUSIONS
  Although the overall ACIC score increased from 1.45 to 5.5, the improvement in the quality of diabetes care was moderate. Further improvements are needed in the CCM components delivery system design and clinical information systems. The regional networks, as they are financed now by the National Institute for Health and Disability Insurance (NIHDI), are an opportunity to explore how this can be achieved in consultation with the GPs. But it is clear that, simultaneously, action is needed on the health system level to realize the installation of an accurate quality monitoring system and the necessary preconditions for chronic care delivery in primary care (patient registration, staff support, IT support).
  
  
  BACKGROUND
  
  
  
  BACKGROUND
  ClinicalTrials.gov Identifier: NCT00824499.
authors.affiliation: Department of General Practice and Primary Health Care, Ghent University, Ghent, Belgium. patricia.sunaert@ugent.be
authors.forename: Patricia
authors.initials: P
authors.lastname: Sunaert
authors.forename: Hilde
authors.initials: H
authors.lastname: Bastiaens
authors.forename: Frank
authors.initials: F
authors.lastname: Nobels
authors.forename: Luc
authors.initials: L
authors.lastname: Feyen
authors.forename: Geert
authors.initials: G
authors.lastname: Verbeke
authors.forename: Etienne
authors.initials: E
authors.lastname: Vermeire
authors.forename: Jan
authors.initials: J
authors.lastname: De Maeseneer
authors.forename: Sara
authors.initials: S
authors.lastname: Willems
authors.forename: An
authors.initials: A
authors.lastname: De Sutter
mesh_terms: D000368:Aged; D001530:Belgium; D015331:Cohort Studies; D016208:Databases, Factual; D003924:Diabetes Mellitus, Type 2 / Q000188:drug therapy*; D005260:Female; D005500:Follow-Up Studies; D006801:Humans; D008297:Male; D008875:Middle Aged; D008962:Models, Theoretical; D015397:Program Evaluation; D019984:Quality Indicators, Health Care