| ObjectiveDescribe the level of social support in patients with chronic heart failure(CHF)and explore the impact of social support on the quality of life of CHF patients,and changes in quality of life of CHF patients with different levels of social support during hospitalization at baseline and within 12 months after discharge,providing scientific basis for improving quality of life,prognosis and chronic disease management of CHF patientsMethod1.In the department of cardiology of the first affiliated hospital of kunming medical university,patients who were admitted to hospital for CHF during March 1,2017 and December 31,2018 were selected as study subjects,the informed consent of the patients and their families was obtained and signed into the study.2.General information of patients during their hospitalization was collected,including name,gender,age,education level,marital status,working status,annual family income,type of medical insurance,weekly exercise time,smoking status,etc.;Clinical data,including the cause of this hospital,etiology,symptoms and signs on admission,past medical history(coronary heart disease,hypertension,diabetes,stroke,etc.),laboratory examination,imaging data and grade of cardiac function(NYHA classification),6 minutes walk test,clinical adverse events(myocardial infarction,stroke,successful recovery after cardiac arrest and death,etc.),etc.3.Xiao Shuiyuan Social Support Scale(SSRS)was used to collect the social support of patients during baseline hospitalization.According to the scoring criteria,the social support level was divided into low social support group(SSRS score no higher than 22),medium social support group(SSRS score 23 to 44)and high social support group(SSRS score 45 to 65).In addition,quality of life questionnaires(EQ-5D and KCCQ-12)were conducted on patients with different social support levels in the low,middle and high school groups during the baseline hospitalization period(2 days and 7 days).4.The patients were followed up by telephone at 1 month,6 months and 12 months after discharge,Its contents include:(1)quality of life questionnaire(EQ-5D scale and KCCQ-12 scale)was used again to evaluate the quality of life of patients with different social support levels in the low,middle and high three groups at 1 month,6 months and 12 months after discharge,and to compare the quality of life of patients in the three groups;(1)The drug compliance Questionnaire(MMAS-4)was completed and the occurrence of clinical adverse events(number of rehospitalizations,myocardial infarction,successful resuscitation after cardiac arrest,death,etc.)was inquired.5.Collect and organize all the data obtained and merge the database.The data was analyzed by SPSS 17.0 statistical data.The count data was expressed by example and composition ratio.The normal distribution measurement data was expressed by mean±standard deviation.The analysis of variance was performed by completely random design data,the LSD-t test was used for pairwise comparison,the Pearson correlation analysis was used for correlation analysis,and the multiple linear regression model was established by multiple regression analysis,P<0.05 indicated that the difference was statistically significant.Results1.A total of 154 patients were included in this study,and 19 died after discharge 135 patients were actually included,including 84 males(62.2%)and 51 females(37.8%),with an average age of 59.54±12.63 years.There were 19(14%)in the low social support group(4 males and 15 females),58(43%)in the medium social support group(39 males and 19 females),and 58(43%)in the high social support group(41 males and 17 females).The total score of social support was 41.41±9.39 points,including subjective support(23.39±7.03)points,objective support(10.19±3.15)points and support utilization(7.83±2.60)points.2.General data comparison:in gender,cultural degree,marital status,family annual income,weekly exercise duration,NYHA heart function classification,differences were statistically significant(p<0.05),with high social support group in men,married or higher,in the cultural level,family average annual gross income and the exercise time of the week are higher than the low social support and social support in the group,cardiac function in a lower social support and social support in the group;Comparison of clinical data:differences in HDL and LDL results were statistically significant(p<0.05),while differences in other indicators were not statistically significant(p>0.05).Comparison of etiology:there were statistically significant differences in ischemic/coronary heart disease and arrhythmia(p<0.05),and no statistically significant differences in other indicators(p>0.05)3.Comparison of quality of life:there was no statistically significant difference in EQ-5D score,EQ-5D visual score and KCCQ-12 score on day 2 of admission(p>0.05).Comparison of EQ-5D score and EQ-5D visual score on the 7th day of admission showed that the difference was statistically significant(P<0.05).Comparison of EQ-5D scores,EQ-5D visual scores and KCCQ-12 scores at 1 month,6 months and 12 months after discharge showed statistically significant differences(p<0.05),suggesting that the EQ-5D scores,EQ-5D visual scores and KCCQ-12 scores at different time points were as follows:high social support group>medium social support group>low social support group.4.Rehospitalization frequency and drug compliance:The rehospitalization frequency and drug compliance of the three groups were compared at 1 month,6 months and 12 months after discharge.The results suggested that the higher the degree of social support,the better the drug compliance and the fewer The Times of rehospitalization.5.Social support and 12 months after discharge EQ-5D score,the KCCQ-12 correlation analysis between 12 score:EQ-5D score and objective support,subjective support,social support score,EQ-5D vision and objective support,subjective support,social support score,KCCQ-12 score and objective support,subjective support,social support score correlation,EQ-5D difference(December-hospital 2 days)and objective support,subjective support,to support the use of have dependence,social support,prompt with the increase of the degree of social support,also will increase the quality of life.6.Multiple linear regression analysis:Quality of life score was positively correlated with social support score,and negatively correlated with BNP and NYHA cardiac function grading.Conclusion1.Most of the patients with chronic heart failure are elderly people,and their social support level is moderate;2.The level of social support significantly affects the quality of life of patients with chronic heart failure,and is positively correlated,that is,the higher the level of social support,the better the quality of life of patients;3.The higher the degree of social support,the better the medication compliance and the fewer rehospitalizations. |
PDF Full Text Request