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目的:探讨影响食管癌患者术后电话随访质量的影响因素。方法:电话随访2009-01-01-2009-06-01四川大学华西医院胸外科实施手术的食管癌患者及其亲属,排除失访患者后,其余病例根据其随访应答等级的不同分为1级、2级,利用Binary Logistic回归分析研究影响患者随访应答的因素。结果:本研究共纳入病例326例,失访患者26例,失访率8.0%。对影响应答等级的单因素分析发现,生存状态(χ2=35.464,P=0.000)、生存时间(P=0.000)、随访时是否患合并症或并发症(χ2=9.167,P=0.002)、TNM分期(χ2=10.236,P=0.006),与患者关系(χ2=8.938,P=0.011)在两组间的差异有统计学意义。而多因素序列Logistic回归分析综合发现,TNM分期(OR=6.347,P=0.011)、随访时是否患合并症或并发症(OR=1.649,P=0.30)为影响随访应答积极性的独立影响因子。结论:诊疗效果对患者的应答积极性可能有着直接影响,随访时能否解决患者的现时问题也是重要的影响因素,及时、长期而有健康指导价值的随访对于随访质量至关重要。
Objective: To explore the influencing factors of postoperative telephone follow-up quality in patients with esophageal cancer. METHODS: Telephone follow-up: 2009-01-01-2009-06-01 Esophageal cancer patients and their relatives underwent surgery at the Department of Thoracic Surgery, West China Hospital of Sichuan University. After excluding patients who were lost to follow-up, the remaining cases were classified as Level 1 according to their level of follow-up response. Grade 2, using Binary Logistic regression analysis to investigate factors affecting patient follow-up response. RESULTS: A total of 326 cases were included in this study, and 26 patients were lost to follow-up. The rate of lost follow-up was 8.0%. Univariate analysis of the level of response response found that survival status (χ2=35.464, P=0.000), survival time (P=0.000), follow-up comorbidity or complications (χ2=9.167, P=0.002), TNM Stages (χ2=10.236, P=0.006), and patient relationship (χ2=8.938, P=0.011) were statistically significant between the two groups. On the other hand, multivariate logistic regression analysis revealed that TNM staging (OR=6.347, P=0.011) and follow-up comorbidities or complications (OR=1.649, P=0.30) were independent factors that affected the follow-up response positivity. Conclusion: The effect of diagnosis and treatment may have a direct impact on the positivity of the patient’s response. Whether or not the current problem of the patient can be resolved at follow-up is also an important influencing factor. The timely, long-term follow-up with a healthy guideline value is essential for the quality of follow-up.