移动医疗APP在重庆某地慢病高危人群慢病管理中的应用效果分析

目的 分析移动医疗APP在基层慢病高危人群慢病管理中的应用效果，研究移动医疗 APP模式应用于慢病管理中的意义。方法 选取2020年1— 12月在重庆某社区卫生服务中心进行体检以及就诊的慢病高危人群。本研究总计纳入慢病高危人群120名。随机分为干预组和对照组，每组各60人。干预组采取移动医疗APP慢病管理模式，对照组采取传统慢病管理模式。比较两组慢病高危人群在干预前和干预12个月后的生理指标控制、自我效能得分及自我管理等情况。结果 生理指标控制上，干预组与对照组末期数据比较，各项指标均低于对照组水平，收缩压（t = 2.045，P = 0.043）、舒张压（t = 2.127，P = 0.036）、血清总胆固醇（t = 2.082，P = 0.04）、空腹血糖（t = 3.720，P＜0.001）差异有统计学意义。自我效能上，干预组末期自我效能总分高于对照组水平（t = -2.923，P = 0.004），差异有统计学意义（P＜0.05）；自我管理行为上，干预组前后比较吸烟情况（χ2 = 6.911，P = 0.032）、饮酒情况（χ2 = 6.112，P = 0.047）、明显超重或肥胖情况（χ2 = 0.697，P = 0.404）、体力活动情况（χ2 = 4.053，P = 0.044），干预组慢病高危人群干预末期吸烟、饮酒及缺乏运动或轻体力劳动情况均有所改善，差异有统计学意义（P＜0.05）。肥胖情况前后差异无统计学意义（P＞0.05）。结论 移动医疗APP管理慢病模式有效改善慢病高危人群生理指标水平，提高慢病高危人群自我效能，修正慢病高危人群不良自我管理行为, 填补了传统管理模式的不足，是未来健康行业发展的必然趋势。

Analysis on the application effect of mobile medical APP in disease management of chronic disease high risk population in Chongqing

Objective To analyze the application effect of mobile medical APP in chronic disease management of primary chronic disease high-risk population, and to study the significance of application of mobile medical APP mode in disease management. Methods From January to December 2020 in a community health service center in Chongqing for physical examination and medical treatment of high-risk groups. A total of 120 people at high risk for chronic disease were included in the study. They were randomly divided into an intervention group and a control group with 60 people in each group. Mobile medical APP chronic disease management mode was applied to the intervention group, while traditional chronic disease management mode was applied to the control group. The effects of physiological index control, self-efficacy scores and self-management before and after 12 months of intervention were compared between the two groups. Results In the control of physiological indexes, compared with the control group, all indexes were lower than the control group, and the differences of systolic blood pressure (t=2.045, P=0.043), diastolic blood pressure (t=2.127, P=0.036), serum total cholesterol (t=2.082, P=0.04) and fasting blood glucose (t=3.720, P＜0.001) were statistically significant. In terms of self-efficacy, the total score of self-efficacy at the end of the intervention group was higher than that of the control group, t=-2.923, P=0.004, and the difference was statistically significant (P＜0.05). In terms of self-management behavior, smoking (χ2=6.911, P=0.032), drinking (χ2=6.112, P=0.047), overweight or obesity (χ2=0.697, P=0.404), physical activity (χ2=4.053, P=0.044), smoking, alcohol consumption, lack of exercise or light physical work in the intervention group at the end of the intervention period, the difference was statistically significant (P＜0.05). There was no significant difference in obesity (P＞0.05). Conclusion The chronic disease management model of mobile medical APP can effectively improve the physiological index level of the chronic disease high-risk population, improve the self-efficacy of it , and correct the bad self-management behavior. The new mode fill the deficiencies of the traditional management mode, and it is an inevitable trend for the development of the health industry in the future.