China ; Humans ; Infectious Disease Incubation Period ; Pneumoconiosis

Objective:To analyze the influenza vaccination status of chronic disease management patients in Qingpu district of Shanghai and the vaccination characteristics of different characteristic populations, so as to provide scientific basis for improving the influenza vaccination rate of chronic disease patients in the community.Methods:By comparing the data of Shanghai chronic disease management information system, immunization planning information system and medical association platform, 89 453 subjects who met the inclusion and exclusion criteria in Qingpu district were selected as the research objects. The vaccination coverage rate of the study subjects was calculated according to gender, age group, urban and rural distribution, occupation, chronic disease type and quantity, and the vaccination coverage rate of different subgroups was compared to analyze the influencing factors of vaccination coverage rate.Results:Most of the 89 453 patients with chronic diseases were 60 years old and above (71.93%). Patients with hypertension, diabetes, chronic obstructive pulmoriary disease (COPD) and three chronic diseases accounted for 87.12%, 28.67%, 8.71% and 1.83%, respectively. Influenza vaccination coverage in the 2016/2017 flu season was low, at 0.32%. Influenza vaccination coverage rate of women (0.37%) was higher than that of men (0.27%), which was 1.41 times respectively(95% CI: 1.16, 1.72) that of men patients. The coverage rate of influenza vaccination for the 70-79 year-old group was the highest (0.74%), which was 1.74 times respectively(95% CI: 1.39, 2.19) that of 60-69 year-old patients. The vaccination coverage rate of government departments and institutions was the highest (1.14%), which was 12.58 times respectively(95% CI: 4.52, 34.99) that of retirees. The vaccination rate of COPD patients (3.68%) was 2.50 times (95% CI: 1.66, 3.77) higher than that of patients without COPD.Conclusions:Influenza vaccination rate for chronic disease management patients in Qingpu district of Shanghai is low. Gender, occupation, age and types of chronic diseases are the influencing factors. Patients with chronic disease management should be included in the priority vaccination targets for influenza vaccines, and vaccination intervention for occupational chronic diseases such as non-retired agriculture and forestry patients, especially male patients, should be strengthened to improve influenza vaccination coverage rate.

Objective:To analyze the effect of influenza vaccination intervention among key populations of chronic disease management in communities of Shanghai.Methods:A total of 50 787 patients aged ≥60 with diabetes, hypertension and chronic obstructive pulmonary disease (COPD) in Huangpu, Yangpu, Baoshan and Qingpu districts of Shanghai from January 2013 to August 2017 were selected as the intervention group, and 52 268 people from key populations with chronic disease management in Xuhui, Hongkou, Jiading and Fengxian districts were selected as the control group according to the geographical location and economic level. The intervention group accepted follow-up and health education of influenza vaccination via chronic disease outpatient based on information system. The implementation time of the intervention was from September 2017 to January 2018. The basic information and diagnosis information of two groups, and intervention completion of the intervention group were obtained from Shanghai chronic disease management information system and hospital record system.Results:The age of the intervention group and the control group were (76.76±8.33) and (77.97±8.51) years old, respectively ( P<0.001); and there were statistical differences in gender, occupational and influenza vaccination rate between the two groups ( P<0.001). A total of 28 644 (56.40%) subjects of the intervention group received intervention. There was no significant difference in age composition between finished and unfinished intervention groups ( P=0.095), and there was significant difference in gender composition ( P=0.044). Before the intervention, the vaccination rate of the intervention group was 0.75% (382 subjects) which was lower than that of the control group with 1.02% (533 subjects) (χ 2=20.96, P<0.001). After the intervention, the vaccination rate of the intervention group was 1.73% (496 subjects) which was higher than that of the control group with 1.42% (744 subjects) (χ 2=11.65, P=0.001). Subjects that were male, younger, uptake of influenza vaccine before the intervention, received intervention and professional and technical personnel were more likely to take influenza vaccine, with OR (95 %CI) 1.29 (1.13-1.47), 0.97 (0.96-0.98), 260.30 (215.21-314.83), 1.85 (1.61-2.11) and 1.48 (1.10-1.99), respectively. Conclusion:Influenza vaccination intervetion raised the vaccination rate of key population of chronic disease management. Male, younger, those who had been vaccinated before the intervention, who received the intervention, and professional and technical personnel were more likely to be vaccinated.

Objective:To analyze the effect of influenza vaccination intervention among key populations of chronic disease management in communities of Shanghai.Methods:A total of 50 787 patients aged ≥60 with diabetes, hypertension and chronic obstructive pulmonary disease (COPD) in Huangpu, Yangpu, Baoshan and Qingpu districts of Shanghai from January 2013 to August 2017 were selected as the intervention group, and 52 268 people from key populations with chronic disease management in Xuhui, Hongkou, Jiading and Fengxian districts were selected as the control group according to the geographical location and economic level. The intervention group accepted follow-up and health education of influenza vaccination via chronic disease outpatient based on information system. The implementation time of the intervention was from September 2017 to January 2018. The basic information and diagnosis information of two groups, and intervention completion of the intervention group were obtained from Shanghai chronic disease management information system and hospital record system.Results:The age of the intervention group and the control group were (76.76±8.33) and (77.97±8.51) years old, respectively ( P<0.001); and there were statistical differences in gender, occupational and influenza vaccination rate between the two groups ( P<0.001). A total of 28 644 (56.40%) subjects of the intervention group received intervention. There was no significant difference in age composition between finished and unfinished intervention groups ( P=0.095), and there was significant difference in gender composition ( P=0.044). Before the intervention, the vaccination rate of the intervention group was 0.75% (382 subjects) which was lower than that of the control group with 1.02% (533 subjects) (χ 2=20.96, P<0.001). After the intervention, the vaccination rate of the intervention group was 1.73% (496 subjects) which was higher than that of the control group with 1.42% (744 subjects) (χ 2=11.65, P=0.001). Subjects that were male, younger, uptake of influenza vaccine before the intervention, received intervention and professional and technical personnel were more likely to take influenza vaccine, with OR (95 %CI) 1.29 (1.13-1.47), 0.97 (0.96-0.98), 260.30 (215.21-314.83), 1.85 (1.61-2.11) and 1.48 (1.10-1.99), respectively. Conclusion:Influenza vaccination intervetion raised the vaccination rate of key population of chronic disease management. Male, younger, those who had been vaccinated before the intervention, who received the intervention, and professional and technical personnel were more likely to be vaccinated.

Objective To understand the influencing factors of chronic dyslipidemia in T2DM patients who signed a contract for diabetes point system management in Qingpu District, and to provide a basis for comprehensive intervention and prevention and control of dyslipidemia in T2DM patients and to optimize the management strategy of Qingpu District diabetes point system. Methods Among the T2DM patients who signed the diabetes point system from 2017 to 2023, patients with chronic dyslipidemia and normal blood lipids were selected and included in the case group and the control group, respectively. A case-control study was conducted with 1:1 matching by age and gender to analyze the factors influencing dyslipidemia. Results Multifactorial paired logistic regression analysis showed that overweight/obesity and central obesity and smoking in T2DM patients increased the risk of dyslipidemia by 1.93, 2.27, and 2.16 times, respectively. Long-term use of lipid-lowering drugs, duration of diabetes for 5 years or more, regular physical exercise, knowledge of blood lipid status, and married status could reduce the risk of dyslipidemia in T2DM patients (OR values were 0.547, 0.452, 0.685, 0.386 and 0.354, respectively). Current complications (history of stroke, coronary heart disease, and renal insufficiency) were also associated with dyslipidemia (OR=1.802, 95% CI:1.125-2.888). Conclusion The management of diabetes point system in Qingpu District should strengthen the feedback and interpretation of blood lipid monitoring results, improve patients’ health awareness of blood lipid management, and actively take comprehensive management of lifestyle intervention and drug treatment to effectively control blood lipid and reduce the occurrence of related complications.

Objective To understand the influencing factors of chronic dyslipidemia in T2DM patients who signed a contract for diabetes point system management in Qingpu District, and to provide a basis for comprehensive intervention and prevention and control of dyslipidemia in T2DM patients and to optimize the management strategy of Qingpu District diabetes point system. Methods Among the T2DM patients who signed the diabetes point system from 2017 to 2023, patients with chronic dyslipidemia and normal blood lipids were selected and included in the case group and the control group, respectively. A case-control study was conducted with 1:1 matching by age and gender to analyze the factors influencing dyslipidemia. Results Multifactorial paired logistic regression analysis showed that overweight/obesity and central obesity and smoking in T2DM patients increased the risk of dyslipidemia by 1.93, 2.27, and 2.16 times, respectively. Long-term use of lipid-lowering drugs, duration of diabetes for 5 years or more, regular physical exercise, knowledge of blood lipid status, and married status could reduce the risk of dyslipidemia in T2DM patients (OR values were 0.547, 0.452, 0.685, 0.386 and 0.354, respectively). Current complications (history of stroke, coronary heart disease, and renal insufficiency) were also associated with dyslipidemia (OR=1.802, 95% CI:1.125-2.888). Conclusion The management of diabetes point system in Qingpu District should strengthen the feedback and interpretation of blood lipid monitoring results, improve patients’ health awareness of blood lipid management, and actively take comprehensive management of lifestyle intervention and drug treatment to effectively control blood lipid and reduce the occurrence of related complications.