[A study on health examination services under the Health Service Law for the Aged--multiple logistic regression analysis of service methods and the service-acceptance rate].
A survey on health services provided in accordance with the Health Service Law for the Aged was conducted in 3,278 cities, wards, towns, and villages throughout Japan in May 1985. Responses were returned from 2,645 districts and data on beneficiaries of these health services in 2,625 districts became available. Because the exact number of people constituting the subjects of health services could not be obtained, the service-acceptance rate was calculated by the number of people utilizing the services divided by the those in the population who were at least 40 years old. The service-acceptance rate was affected by both the size of the population of the local community and the methods of implementation of health services. Therefore, the mutual effects of population size and service methods were corrected by logistic regression analysis to find the relationship between methods of implementing health services and the response rate of the public in accepting the services. The service-acceptance rate was divided into two categories: one less than 30% and the other 30% and over. Odds ratios were calculated for an acceptance ratio of 30% and over. The results were summarized as follows: 1. In the jurisdictions where the local organizations cooperated in notifying citizens about the results of their general health examination, in comparison with the areas where there was no cooperation, the odds ratio was found to be 2.40. A similar comparison was made between the communities with local cooperation for notification of a general health examination and those communities without it. The odds ratio for the former was found to be 1.66.(ABSTRACT TRUNCATED AT 250 WORDS)
Sakata
K
K
Department of Public Health, Jichi Medical School, Tochigi.
D000368:Aged; D006299:Health Services for the Aged / Q000706:statistics & numerical data*; D006801:Humans; D007564:Japan / Q000453:epidemiology; D016015:Logistic Models; D010808:Physical Examination / Q000706:statistics & numerical data*; D012044:Regression Analysis