title: Finding the Primary Care Providers in the Specialist-Dominant Primary Care Setting of Korea: A Cluster Analysis.
abstract: OBJECTIVE
  This study aimed to identify private clinics that have a potential to perform the role of primary care providers (PCPs) in a primary care setting in Korea where private specialists are dominant.
  
  
  METHODS
  The 2013 National Patient Sample claim data of Health Insurance Review and Assessment Service in Korea was used. Two-step cluster analysis was performed using characteristics of private clinics, and patient and utilization characteristics of 27,797 private clinics. External validation of clusters was performed by assessing the association among clusters and outcomes of care provided by private clinics. Stability of clusters was cross-validated using discriminant analysis.
  
  
  RESULTS
  The result classified more than a half of private clinics into a potential PCP cluster. These were private clinics with specialties considered to be those of primary care physicians and were more likely to be located in non-metropolitan areas than specialized PCPs were. Compared to specialized PCPs, they had a higher percentage of pediatric and geriatric patients, patients with greater disease severity, a higher percentage of patients with complex comorbidities or with simple or minor disease groups, a higher number of patients and visits, and the same or higher quality of primary care. The most important factor in explaining variations between PCP clusters was the number of simple or minor disease groups per patient.
  
  
  CONCLUSIONS
  This study identified potential PCPs and suggested the identifying criteria for PCPs. It will provide useful information for formulation of a primary care strengthening policy to policy makers in Korea as well as other countries with similar specialist-dominant primary care settings.
authors: Public Health Medical Service, Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea.
authors: Jin Yong
authors: JY
authors: Lee
authors: Department of Preventive Medicine, Chungnam National University School of Medicine, Daejeon, Korea.
authors: Sang Jun
authors: SJ
authors: Eun
authors: Department of Nursing Science, Shinsung University, Dangjin, Chungnam, Korea.
authors: Hyun Joo
authors: HJ
authors: Kim
authors: Department of Preventive Medicine, University of Ulsan College of Medicine, Seoul, Korea.
authors: Min-Woo
authors: MW
authors: Jo
mesh_terms: D016000:Cluster Analysis; D019538:Health Care Surveys / Q000706:statistics & numerical data*; D006282:Health Personnel / Q000592:standards / Q000706:statistics & numerical data*; D006801:Humans; D007345:Insurance Claim Review / Q000706:statistics & numerical data; D058007:Physicians, Primary Care / Q000592:standards / Q000706:statistics & numerical data*; D011320:Primary Health Care / Q000592:standards / Q000706:statistics & numerical data*; D011331:Private Practice / Q000592:standards / Q000706:statistics & numerical data*; D056910:Republic of Korea