To quantify the impact on short-term ovarian cancer survival associated with treatment at high-performing hospitals using the observed-to-expected ratio (O/E) for adherence to ovarian cancer treatment guidelines as a risk-adjusted measure of hospital quality care. This was a retrospective population-based study of stage I-IV invasive epithelial ovarian cancer reported to California Cancer Registry 1996–2017. A fit logistic regression model, risk-adjusted for patient and disease characteristics, was used to calculate O/E for each hospital stratified by hospital annual case volume. Cox proportional hazards model was used for survival analyses at 3, 6, 12, 24 months and stratified according to sociodemographic characteristics. The study population included 35,725 subjects treated at 443 hospitals: Ovarian cancer care at a High-O/E hospital is an independent predictor of improved outcome and the survival advantage is disproportionately weighted toward the short-term time horizon following diagnosis.

中文翻译：

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卵巢癌治疗风险调整模型的短期生存分析

使用遵守卵巢癌治疗指南的观察与预期比率 (O/E) 作为医院质量护理的风险调整指标，量化与高绩效医院治疗相关的短期卵巢癌生存的影响。这是一项基于人群的回顾性研究，针对 1996 年至 2017 年加州癌症登记处报告的 I-IV 期浸润性上皮性卵巢癌。根据患者和疾病特征进行风险调整后的拟合逻辑回归模型用于计算按医院年病例量分层的每家医院的 O/E。使用Cox比例风险模型进行3、6、12、24个月的生存分析，并根据社会人口学特征进行分层。研究人群包括在 443 家医院接受治疗的 35,725 名受试者：高 O/E 医院的卵巢癌护理是改善结果的独立预测因素，并且生存优势不成比例地偏重于诊断后的短期时间范围。