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作 者:陈雪梅 孙亮[2] 杨丽丽[3] 王东昕 张芳[1] 崔宇琨 彭妩妮 吕文山[1] 杨利波
机构地区:[1]青岛大学附属医院内分泌与代谢性疾病科,山东 青岛 [2]山东理工大学交通与车辆工程学院,山东 淄博 [3]青岛大学附属医院门诊,山东 青岛 [4]青岛大学附属泰安市中心医院内分泌科,山东 泰安
出 处:《临床医学进展》2024年第4期1409-1417,共9页Advances in Clinical Medicine
摘 要:目的:调查山东地区胰岛素无针注射患者满意现状,并对相关影响因素进行分析。方法:以2020年1月~2021年7月间,应用第三代无针注射器进行胰岛素注射治疗的614例山东地区的糖尿病患者为研究对象,进行电话问卷调查。依据患者对无针注射治疗满意情况,分为满意组(569例)和不满意组(45例)。采用SPSS27.0软件,进行卡方检验、Fisher确切概率法、多因素logistic回归分析,构建满意预测模型。结果:对无针注射治疗满意的患者比例为92.7%。单因素分析结果显示:年龄、BMI、注射次数、定期筛查、饮食控制情况、运动控制情况在两组之间存在显著差异,差异具有统计学意义(P χ2 = 10.616, P = 0.224),说明模型拟合效果较好。结论:BMI、定期筛查是胰岛素无针注射患者满意与否的独立影响因素,logistic回归模型对其预测价值较高,有助于更精准筛选适用人群,提高患者满意度。Objective: To investigate the satisfaction status of insulin needle-free injection patients in Shandong region and analyze the relevant influencing factors. Methods: From January 2020 to July 2021, 614 patients with diabetes in Shandong Province who were treated with the third generation needle-free syringe for insulin injection were investigated by telephone questionnaire. According to the patients’ satisfaction degree, patients were divided into satisfactory group (569 cases) and unsatisfactory group (45 cases). χ2 test, Fisher’s exact probability method, and multivariate logistic regression analysis were used to construct a satisfactory prediction model with SPSS27.0 software. Results: The proportion of patients who were satisfied with needle-free injection treatment was 92.7%. The results of univariate analysis showed that there are statistically significant differences in age, BMI, number of injections, regular screening, dietary control, and exercise control between the two groups (P χ2 = 10.616, P = 0.224), indicating a good fitting effect of the model. Conclusion: BMI and regular screening are independent influencing factors for the satisfaction of insulin needle-free injection patients. The logistic regression model has high predictive value for them, which helps to more accurately screen suitable populations and improve patient satisfaction.
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