Influencing factors of medical exposure frequency for community residents
10.13491/j.issn.1004-714X.2023.02.006
- VernacularTitle:社区居民医疗照射频次影响因素的分析
- Author:
Yuli CAO
1
,
2
;
Yinping SU
3
;
Hui XU
3
;
Quanfu SUN
3
;
Jinsheng CHENG
3
Author Information
1. Department of Gynaecology Obstetrics, People'
2. s Hospital of Wucheng County, Dezhou 253300 China.
3. National Institute for Radiological Protection, Chinese Center for Disease Control and Prevention, WHO Collaborating Centre on Radiation and Health, Beijing 100088 China.
- Publication Type:Journal Article
- Keywords:
Medical exposure;
Frequency;
Questionnaire survey
- From:
Chinese Journal of Radiological Health
2023;32(2):119-124
- CountryChina
- Language:Chinese
-
Abstract:
Objective To obtain the medical exposure frequency data of residents through a questionnaire survey on mobile phone networks in the community, and to analyze the main influencing factors. Methods A snowball sampling method was used to expand the sampling from medical staff in a county hospital to the community. The questionnaire included personal information such as occupation category, type of medical insurance, and education level as well as basic radiation-related knowledge and medical exposure type and frequency of respondents received in 2021. A logistic regression model was used to analyze the influencing factors of medical exposure. Results A total of 223 respondents were investigated, and 12.56% of them received radiological diagnosis and radiotherapy in 2021. The proportion of males receiving medical exposure was significantly higher than that of females (19.64% vs 10.18%). The likelihood of the person receiving medical exposure increased considerably with age, with the proportion of residents receiving medical exposure at 20, 30, 40, and 50 years of age being 6.25%, 7.95%, 19.23%, and 33.33%, respectively. Of persons who received medical exposure, 57.14% underwent CT scans. Persons participating in the new rural cooperative medical system were likely less to receive radiological diagnosis and radiotherapy than urban workers and residents (OR = 0.55, CI:0.13-2.23, P > 0.05). Conclusion Questionnaire survey in the community can obtain more information about the medical exposure of residents, and age and type of medical insurance are important factors affecting the frequency of medical exposure.
