title: [Evaluation of health promotion programs using health checkup data and medical receipts].
abstract: OBJECTIVE
  In a research project on the evaluation of health promotion programs using a health dataset including health checkup data and medical receipts, which was supported by a research grant from the Ministry of Health, Labour and Welfare, the potential preventive factors that influence disease severity and medical expenditure were studied.
  
  
  METHODS
  A dataset from a city with a population of 36,544 and a large elderly population (31.1%) was studied using 12 elementary school geographical areas as the basis of classification. A dataset from a company of 4,780 employees was analyzed to determine changes in health checkup data related to metabolic syndrome over 3 years. A simulation model to identify factors that are important for reducing the incidence of complications such as ischemic heart disease and stroke was developed.
  
  
  RESULTS
  Geographical analyses showed a negative association between the rate of participation in health checkup and the prevalence of noncommunicable diseases. The percentage of new patients who started pharmaceutical treatment was lower in the health-advice-intervention group (5.2%) than in the nonintervention group (29.6%). A simulation model to identify factors that are important for reducing the incidence of complications was developed using data on health checkup participation, percentage of those who undertook a lifestyle-modification program, and compliance with medical treatment among others.
  
  
  CONCLUSIONS
  Various health data including those on health checkup participation, percentage of those who undertook a lifestyle modification program, and compliance under medical treatment over 3 years were helpful in evaluating health promotion programs.
authors.affiliation: Department of Epidemiology and Public Health, Yokohama City University, Graduate School of Medicine, Kanazawa-ku, Yokohama, Japan. shunsaku@yokohama-cu.ac.jp
authors.forename: Shunsaku
authors.initials: S
authors.lastname: Mizushima
authors.forename: Nozomi
authors.initials: N
authors.lastname: Morikawa
authors.forename: Hitoshi
authors.initials: H
authors.lastname: Fujii
authors.forename: Tetsuji
authors.initials: T
authors.lastname: Yokoyama
mesh_terms: D000328:Adult; D000368:Aged; D005260:Female; D006293:Health Promotion; D006801:Humans; D007564:Japan; D008297:Male; D008875:Middle Aged; D009313:National Health Programs / Q000706:statistics & numerical data*; D010808:Physical Examination / Q000706:statistics & numerical data*; D015397:Program Evaluation / Q000379:methods*