Objective:To construct a smart elderly education system that in line with the current situation under the Healthy China strategy and explore the constraints on its institutional implementation,in order to provide a basis for scientifically evaluating the implementation effect of this system.Methods:A questionnaire survey was conducted on 34 experts in related fields.The analytic hierarchy process(AHP)was used to perform quantitative and qualitative analyses on the construction of the smart elderly education system,and the weights of the importance of each scheme were obtained.Results:The constructed model of the smart elderly education system included 5 first-level indicators and 15 second-level indicators.Calculations of the judgment matrix for the 5 first-level indicators showed that the maximum eigenvalue(λmax)=5.071 4,the random consistency index(RI)=1.12,the consistency index(CI)=0.017 8,and the consistency ratio(CR)=0.015 9.With CR＜0.1,the result met the consistency requirement.For the second-level indicators under each first-level indicator,pairwise comparison judgment matrices were constructed.The CR values of all 5 judgment matrices were＜0.1.In summary,all judgment matrices passed the consistency test and were applicable.Among the first-level indicators,the top three by weights were guarantee mechanisms,demand orientation,and implementation effectiveness.Among the second-level indicators,the top three by combined weights were funding support capacity,health literacy improvement rate,and health demand identification mechanism.Conclusions:The indicator evaluation system for the smart elderly education system constructed based on AHP includes core dimensions such as guarantee mechanisms and demand orientation,responding to the key issues of institutional implementation.The selected indicators are both objective and practical,and can serve as reference tools for actual evaluation.

Objective:To construct a smart elderly education system that in line with the current situation under the Healthy China strategy and explore the constraints on its institutional implementation,in order to provide a basis for scientifically evaluating the implementation effect of this system.Methods:A questionnaire survey was conducted on 34 experts in related fields.The analytic hierarchy process(AHP)was used to perform quantitative and qualitative analyses on the construction of the smart elderly education system,and the weights of the importance of each scheme were obtained.Results:The constructed model of the smart elderly education system included 5 first-level indicators and 15 second-level indicators.Calculations of the judgment matrix for the 5 first-level indicators showed that the maximum eigenvalue(λmax)=5.071 4,the random consistency index(RI)=1.12,the consistency index(CI)=0.017 8,and the consistency ratio(CR)=0.015 9.With CR＜0.1,the result met the consistency requirement.For the second-level indicators under each first-level indicator,pairwise comparison judgment matrices were constructed.The CR values of all 5 judgment matrices were＜0.1.In summary,all judgment matrices passed the consistency test and were applicable.Among the first-level indicators,the top three by weights were guarantee mechanisms,demand orientation,and implementation effectiveness.Among the second-level indicators,the top three by combined weights were funding support capacity,health literacy improvement rate,and health demand identification mechanism.Conclusions:The indicator evaluation system for the smart elderly education system constructed based on AHP includes core dimensions such as guarantee mechanisms and demand orientation,responding to the key issues of institutional implementation.The selected indicators are both objective and practical,and can serve as reference tools for actual evaluation.

Objective:To investigate the clinical significance of color Doppler ultrasonography combined with detection of thyroid autoantibodies in the early diagnosis of thyroid cancer.Methods:A total of 108 patients with thyroid cancer who treated in Shaoxing Central Hospital Medical Community General Hospital from September 2019 to September 2021 were selected as the research group, and 108 patients with benign thyroid lesions during the same period were selected as the control group. The ultrasound examination results and the levels of serum thyroglobulin antibody (TgAb), thyroid peroxidase antibody (TPOAb) and thyroid receptor antibody (TRAb) were compared between the two groups. The relationship between the thyroid autoantibodies index and the early diagnosis of thyroid cancer were analyzed by Spearman correlation analysis; the value of early diagnosis by color Doppler ultrasonography combined with detection of thyroid autoantibodies were evaluated by the receiver operating characteristic (ROC) curve.Results:The main features of ultrasonic images in the research group were unclear edge, low echo, irregular shape, chaotic blood flow distribution, internal micro calcification, no envelope and blood flow resistance index ≥0.7. The sensitivity of ultrasonography for the diagnosis of thyroid cancer was 86.11% (93/108), the specificity was 87.18% (102/117) and the accuracy was 90.28% (195/216). The levels of serum TgAb, TPOAb and TRAb in the research group were higher than those in control group: (32.28 ± 2.85) kU/L vs. (21.96 ± 2.54) kU/L, (81.28 ± 7.32) kU/L vs. (51.53 ± 5.86) kU/L, (4.48 ± 1.25) U/L vs. (2.35 ± 0.63 ) U/L, there were statistical differences ( P<0.05). The levels of serum TgAb, TPOAb and TRAb in patients with lymph node metastasis were higher than those in the patients without lymph node metastasis: (36.28 ± 3.12) kU/L vs. (30.60 ± 2.54) kU/L, (93.51 ± 8.57) kU/L vs. (76.13 ± 6.62) kU/L, (5.73 ± 1.54) U/L vs. (3.95 ± 1.12) U/L, there were statistical differences ( P<0.05). The levels of serum TgAb, TPOAb and TRAb in patients with stage Ⅲ-Ⅳ were higher than those in the patients with stage Ⅰ-Ⅱ: (35.84 ± 3.28) kU/L vs. (29.74 ± 2.29) kU/L, (89.35 ± 8.16) kU/L vs. (75.52 ± 6.23) kU/L, (5.28 ± 1.49) U/L vs. (3.91 ± 1.25) U/L, there were statistical differences ( P<0.05). The results of Spearman correlation analysis showed that the levels of serum TgAb, TPOAb and TRAb were positively correlated with lymph node metastasis ( r = 0.758, 0.824, 0.695, P<0.05) and clinical stage of thyroid cancer ( r = 0.735, 0.796, 0.673, P<0.05). The results of ROC curve analysis showed that the area under the curve(AUC) of ultrasound examination combined with TgAb, TPOAb and TRAb for early diagnosis of thyroid cancer was 0.930, the sensitivity was 85.19%, and the specificity was 91.67%. The combined diagnostic value was better than single diagnosis. Conclusions:Ultrasound examination combined with serum TgAb, TPOAb and TRAb has high diagnostic value for early stage thyroid cancer, which is helpful to clinically clarify the condition, and provides a reliable basis for preoperative diagnosis and targeted individualized treatment plan.