Rohith Gorrepati, Gaur Abhay Singh, Nayak Prasant, Mandal Swarnendu, Das Manoj K, Kumaraswamy Santosh, Tarigopula Vivek, Tripathy Sambit
Department of Urology, All India Institute of Medical Sciences, Bhubaneswar, Odisha, India.
Indian J Urol. 2023 Jul-Sep;39(3):228-235. doi: 10.4103/iju.iju_116_23. Epub 2023 Jun 30.
Among urological malignancies, the diagnosis and treatment of urinary bladder cancer (UBC) incurs the highest cost per patient. Our objective was to broaden the current understanding of how demographic, socioeconomic, education, and insurance-related factors influence UBC management.
Between January 2017 and December 2019, all patients with nonmetastatic bladder cancer were included. The demographic, treatment, and follow-up details were retrieved from a prospectively maintained database, and the Modified Kuppuswamy Index was used to evaluate the patients' socioeconomic level. Patients were divided into the completed treatment group, or the incomplete treatment group based on adherence to the initially intended treatment plan. Patients who presented with benign disease or metastases were not included.
Eighty-nine patients did not complete the initially intended course of treatment out of 132 patients who needed additional management after the initial transurethral resection. Comparable risk factors and demographic profiles existed in both groups. Patients with intermediate-risk disease are more likely to fail to adhere to the initial intended treatment (odds ratio [OR] = 0.09; 95% confidence interval [CI]: 0.02-0.30). On logistic regression analysis, upper socioeconomic status (OR = 6.8; 95% CI: 0.35-132.1) patients and patients with higher educational status of graduation or above (OR = 3.62; 95% CI: 0.75-17.43) had higher chances of treatment completion. Education status significantly impacted treatment completion on multivariate analysis ( = 0.01). Patients who utilized employer-funded insurance had better treatment compliance (OR = 4.1; 95% CI: 0.90-18.7). The compliance was unaffected by smoking, occupation, or other demographic factors.
Patients with low economic status, low levels of education, and who need adjuvant intravesical therapy had considerably greater treatment dropout rates.
在泌尿系统恶性肿瘤中,膀胱癌(UBC)的诊断和治疗每位患者的花费最高。我们的目标是拓宽当前对人口统计学、社会经济、教育和保险相关因素如何影响膀胱癌管理的理解。
纳入2017年1月至2019年12月期间所有非转移性膀胱癌患者。从一个前瞻性维护的数据库中检索人口统计学、治疗和随访细节,并使用改良的库普苏瓦米指数评估患者的社会经济水平。根据是否坚持最初制定的治疗计划,将患者分为完成治疗组或未完成治疗组。患有良性疾病或转移的患者不包括在内。
在最初经尿道切除术后需要进一步管理的132例患者中,有89例未完成最初制定的治疗疗程。两组存在可比的风险因素和人口统计学特征。中危疾病患者更有可能不坚持最初制定的治疗(优势比[OR]=0.09;95%置信区间[CI]:0.02 - 0.30)。经逻辑回归分析,社会经济地位较高(OR = 6.8;95% CI:0.35 - 132.1)的患者以及毕业及以上教育程度较高(OR = 3.62;95% CI:0.75 - 17.43)的患者完成治疗的机会更高。在多变量分析中,教育程度对治疗完成情况有显著影响(P = 0.01)。使用雇主资助保险的患者治疗依从性更好(OR = 4.1;95% CI:0.90 - 18.7)。依从性不受吸烟、职业或其他人口统计学因素的影响。
经济地位低、教育水平低且需要辅助膀胱内治疗的患者治疗中断率相当高。