社区居民医疗照射频次影响因素的分析

Influencing factors of medical exposure frequency for community residents

目的 通过在社区开展手机网络问卷调查,获得居民医疗照射频次数据,分析其主要影响因素。方法 采用滚雪球抽样方法,从一家县级医院的医护人员扩展到社区。问卷内容包括职业、医保类型、教育程度等个人信息,以及辐射相关的基本认知和2021年接受医疗照射的情况。采用logistic回归模型分析接受照射的影响因素。结果 共调查223人,12.56%调查对象在2021年接受过放射诊疗,男性接受医疗照射的比例显著高于女性(19.64%vs.10.18%)。随着年龄的增加接受照射的可能性显著增加,20~、30~、40~、50~岁的居民接受医疗照射的比例分别为6.25%、7.95%、19.23%和33.33%。接受医疗照射的人中,57.14%的人接受的是CT扫描检查。参加新农合的人员接受放射诊疗的可能性显著低于城镇职工和居民(OR=0.55,95%CI:0.13~2.23,P> 0.05)。结论 在社区开展问卷调查可以获得居民医疗照射的更多信息,年龄和医保类型是影响照射频次的重要因素。

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 radiationrelated 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.