Correlation analysis of medical treatment delay and family dynamics in patients with acute myocardial infarction
Objective To explore the correlation between medical treatment delay and family dynamics in patients with acute myocardial infarction(AMI).Methods A total of 160 patients with AMI who were treated in Nanjing Gaochun People's Hospital from February 2020 to February 2023 were prospectively selected as the research objects.According to the reperfusion time of AMI patients,they were divided into delayed medical treatment group(>6 h,74 cases)and non-delayed medical treatment group(≤6 h,86 cases).Age,gender,drinking history,smoking history and marital status were used as independent variables,and propensity score method was used to match them at a ratio of 1∶1,with 63 cases in each group.The general information questionnaire and the systematic family dynamics self-assessment questionnaire were used to investigate.Pearson's analysis was used to analyze the correlation between medical delay and family dynamics,and binary logistic regression was used to analyze the influencing factors of medical delay in AMI patients.Results The results of the comparison of the general data of the two groups of patients showed that the type of residence,annual household income,place of residence,way of medical treatment,and education level were the influencing factors for the delay of medical treatment in patients with AMI(χ2=5.801,7.208,5.842,5.387,6.236,P<0.05).The family motivation,disease concept,family atmosphere,system logic and personalization level of the delayed medical treatment group were lower than those of the non-delayed medical treatment group[(112.37±8.66)points vs.(91.34±6.92)points,(18.14±2.23)points vs.(14.63±1.87)points,(26.36±4.28)points vs.(21.45±3.17)points,(28.67±4.86)points vs.(22.57±3.75)points,(31.18±5.87)points vs.(25.72±4.21)points](t=15.058,9.573,7.317,7.887,5.999,P<0.05).Pearson the results of correlation analysis showed that the delay in AMI(r=-0.804,-0.651,-0.548,-0.578,-0.474,P<0.05).The results of Logistic regression analysis showed that high family dynamics score,low educational level,low annual family income,living alone,living in rural areas,and self to treatment were independent risk factors for delayed medical treatment in AMI patients(P<0.05).Conclusion There is a negative correlation between family dynamics and medical delay time in AMI patients.Family dynamics score,education level,family annual income,living alone,place of residence and medical insurance are the influencing factors of medical delay in AMI patients.
万方数据
维普
