ICFICE 2019
Current Result Document : 4 / 4
| 한글제목(Korean Title) |
Multilevel Analysis on Factors Affecting Fundus Examination Using Big Data |
| 영문제목(English Title) |
Multilevel Analysis on Factors Affecting Fundus Examination Using Big Data |
| 저자(Author) |
Min-Kyoung Kim
Young-Bok Cho
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| 원문수록처(Citation) |
VOL 11 NO. 01 PP. 0301 ~ 0304 (2019. 06) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
This study was designed with a multilevel analysis, in order to examine factors affecting the fundus examination of residents living in the community, by using public health big data. The raw data from 2017 Korean National Health and Nutrition Examination Survey and the secondary data by cities and provinces of Statistics Korea were analyzed. The data from Korean National Health and Nutrition Examination Survey can represent Korean people, as it uses the multi-stage stratified cluster sampling. Collected data were categorized through the hadoop big data platform and statistically processed by using the SAS 9.4 program. This study finally selected adults aged over 40, who responded the question, whether or not they underwent the fundus examination, as the subjects. The results of the multilevel analysis exhibit that the fundus examination rate is higher when the subjects are: females; older; medical aid beneficiaries; diagnosed as hypertension by a physician; living in an area with many ophthalmic clinic not smoking. However, their income, marital status and level of education did not have statistically significant effects on whether or not they underwent the fundus examination. The findings suggests that various political approaches are required to promote health projects, by comprehensively considering not only individual factors but also those of medical institute and community, in order to increase the fundus examination rate.
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| 키워드(Keyword) |
Fundus examination
Big data
Multilevel logistic regression analysis
Local social factor
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| 파일첨부 |
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