title: Analyses of factors influencing participation in the cervical cancer screening programme in the community in Japan.
abstract: The association between the participation rates of cervical cancer screening programme and implementation methods, concerning data management, participant convenience, promoting participation, and payment, were analyzed. The data regarding the implementation methods were obtained in a nation-wide questionnaire survey. The relationship between the participation rates and implementation methods were assessed using the chi-square test and multiple logistic regression analyses. In small municipalities, with a population < 10,000 items concerning data management, enlisting the assistance of community organizations, fee exemption, and early morning screening were positively associated with the participation. In middle-sized municipalities, with the population 10,000-49,999, early morning screening, community organizations, items concerning data management, and sending out letters were positively associated with participation. Saturday/Sunday screening, community organizations, letters, and postcards were positively associated with the participation of the older group (> or = 50 years) in large municipalities with population of > 50,000. These results indicate that enlisting the assistance of community organizations and establishing a well-organized data management system are likely to improve participation regardless of municipality size. Other implementation methods must be selected taking into account factors such as municipality population size, as well as the age distribution and characteristics of the target population.
authors.affiliation: Department of Public Health, Jichi Medical School, Tochigi-ken, Japan.
authors.forename: Y
authors.initials: Y
authors.lastname: Hirano
authors.forename: T
authors.initials: T
authors.lastname: Ojima
mesh_terms: D000328:Adult; D000368:Aged; D005260:Female; D006801:Humans; D007564:Japan / Q000453:epidemiology; D008403:Mass Screening / Q000706:statistics & numerical data*; D008875:Middle Aged; D010342:Patient Acceptance of Health Care / Q000706:statistics & numerical data*; D002583:Uterine Cervical Neoplasms / Q000453:epidemiology* / Q000517:prevention & control; D014626:Vaginal Smears / Q000706:statistics & numerical data