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作 者:贾红红 霍桂霞 王海丽 刘杨 罗小茜 杨爽 JIA Honghong;HUO Guixia;WANG Haili;LIU Yang;LUO Xiaoxi;YANG Shuang
机构地区:[1]哈尔滨医科大学护理学院,大庆市163319 [2]唐山市曹妃甸区医院妇产科 [3]哈尔滨医科大学第五临床医学院教务科
出 处:《中华护理杂志》2021年第1期91-96,共6页Chinese Journal of Nursing
基 金:国家自然科学基金项目(71704037)。
摘 要:目的调查农村糖尿病诊治延误患者认知行为的现状,并分析其影响因素。方法采取便利抽样方法,2018年6月-2019年12月,选取黑龙江省大庆市和河北省唐山市农村糖尿病诊治延误患者832例为调查对象,采用一般情况调查问卷、农村糖尿病诊治延误认知行为量表对其进行调查,并分析农村糖尿病诊治延误患者认知行为的影响因素。结果农村糖尿病诊治延误患者的认知行为得分较低,为(47.98±11.27)分,其中疾病控制维度得分最高,症状警觉维度得分最低。线性回归分析结果显示,年龄、性别及家庭人均月收入是影响农村糖尿病诊治延误患者认知行为的独立因素。结论农村糖尿病诊治延误患者的认知行为处于较低水平。医护人员应该多关注农村糖尿病诊治延误患者,通过健康宣教、警示教育和动态跟踪等干预措施,协助其提高诊治率,控制其血糖水平。Objective To describe the status of cognitive behaviour in diabetes patients with delayed diagnosis and treatment in rural areas,and to analyze the influencing factors.Methods From June 2018 to December 2019,a convenience sampling method was used to select 832 cases of diabetes patients with delayed diagnosis and treatment in rural areas of Daqing city in Heilongjiang province and Tangshan city in Hebei province.By general data questionnaire and the scale for cognitive behaviour with delayed diagnosis and treatment of diabetes patients in rural areas,we investigated and analyzed its influence factors.Results The total score of cognitive behavioral for delayed diagnosis and treatment of diabetes patients in rural areas was(47.98±11.27),with the highest score in disease control dimension and the lowest score in symptom alert dimension.The results of linear regression analysis showed that age,gender and per capita monthly family income were independent factors influencing the level of cognitive behaviour for delayed diagnosis and treatment of diabetes patients in rural areas.Conclusion The level of cognitive behaviour of diabetes patients with delayed diagnosis and treatment in rural areas was lower.Medical personnel should pay more attention to the diabetes patients with delayed diagnosis and treatment in rural areas,and help them to improve the diagnosis and treatment rate and control blood glucose level through health education,warning education,dynamic tracking and other interventions.
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