对应分析在研究居民两周患病治疗方式中的应用

THE APPLICATION OF CORRESPONEDNCE ANALYSIS IN RESEARCHING THE TREATMENT WAY OF DISEASE HAPPENED IN PREDEFINED TWO WEEKS

[目的]研究居民两周患病不同治疗方式及其影响因素的内在联系。[方法]利用2003年国家第三次卫生服务调查重庆巿资料进行对应分析。[结果](1)所调查的17070份记录中,共提取出3320份(占19.4%)年龄在15岁及以上且有两周病伤情况的记录,其中17.89%的居民选择不治疗,34.64%采用纯自我治疗,37.08%采用到医疗点就诊,10.39%选择自我治疗和看医生相结合的方式。(2)对应分析显示:对于两周患病,年龄在35～65岁之间、已婚、去最近医疗点10～30min、收入中等、自费或小学文化程度的居民常选择自我治疗同时看医生的治疗方式;年龄﹥65岁或自觉病情一般的居民则是在自我治疗、自我治疗同时看医生之间选择;未婚居民则常选择看医生的治疗方式;年龄在25～35岁或自觉病情严重的居民也倾向于选择看医生的治疗方式;农村居民倾向于选择自我治疗;城巿居民则是在看医生、自我治疗同时看医生之间选择;低收入居民则倾向于选择不治疗。[结论]对应分析方法能直观地体现多项分类列联表行因素和列因素的关系,可弥补其他一些分析方法的不足,本次应用该方法研究居民两周患病不同治疗方式也获得了较好效果。

[Objective] To study the relationship hetween differnt treatment ways of disease happened in prcdefined two weeks and its impace factors. [ Methods] Correspoadence analysis was used to analyze the data of the 3rd national medical service investigation in Chongqing city in 2003. [Results] （l） 3 320 （19.4%） residents with age ≥ 15years among the investignted 17 070 residents had records of disease happened in predefined two weeks. Of thee. 17.89% didn＇t treat their disease, 34.64% treated it by themselves, 37.08% by seeing doctors, 10.39% by theselves and doctor. （2） the joint plot of oorrcspandence analysis showed results as follows：residents who were. 35-65 years old, married, uninsured, middle income, or elementary education, or that who needed 10-30 minutes to reach the nearest health department tended to treat their disease by themselves and doctors： reaidents aged ≥ 65years, or with average illness status tended to treat their disease by themselves or by themselves trod doctors; Unmarried residents often treated their disease, by seeing doctors; residents who were 25-35 years old, or with severe illness status teadad to treat their disease by seeing doetons; Country residents tended to treat their disease by themselves while city .residents tended to treat their disease by themselves or by theraselvas and doctors; residents with low income tended not to treat their disease. [Conclusions] Correspondenca analysis can show direedy the relationship between row and column variables for muld-elassificafion contingancy table and make up other methods＇ deficiency. This advantage proved to be effective in this study.