Department of Epidemiology, Saint Louis University College for Public Health, 3545 Lafayette Ave, St Louis, MO 63104; Alvin J. Siteman Cancer Center at Barnes-Jewish Hospital, Washington University School of Medicine, St Louis, MO.
Health Serv Res. 2014 Aug;49(4):1145-64. doi: 10.1111/1475-6773.12171a. Epub 2014 Mar 27.
To assess hospital and geographic variability in 30-day mortality after surgery for CRC and examine the extent to which sociodemographic, area-level, clinical, tumor, treatment, and hospital characteristics were associated with increased likelihood of 30-day mortality in a population-based sample of older CRC patients.
DATA SOURCES/STUDY SETTING: Linked Surveillance Epidemiology End Results (SEER) and Medicare data from 47,459 CRC patients aged 66 years or older who underwent surgical resection between 2000 and 2005, resided in 13,182 census tracts, and were treated in 1,447 hospitals.
An observational study using multilevel logistic regression to identify hospital- and patient-level predictors of and variability in 30-day mortality.
DATA COLLECTION/EXTRACTION METHODS: We extracted sociodemographic, clinical, tumor, treatment, hospital, and geographic characteristics from Medicare claims, SEER, and census data.
Of 47,459 CRC patients, 6.6 percent died within 30 days following surgery. Adjusted variability in 30-day mortality existed across residential census tracts (predicted mortality range: 2.7-12.3 percent) and hospitals (predicted mortality range: 2.5-10.5 percent). Higher risk of death within 30 days was observed for CRC patients age 85+ (12.7 percent), census-tract poverty rate >20 percent (8.0 percent), two or more comorbid conditions (8.8 percent), stage IV at diagnosis (15.1 percent), undifferentiated tumors (11.6 percent), and emergency surgery (12.8 percent).
Substantial, but similar variability was observed across census tracts and hospitals in 30-day mortality following surgery for CRC in patients 66 years and older. Risk of 30-day mortality is driven not only by patient and hospital characteristics but also by larger social and economic factors that characterize geographic areas.
评估结直肠癌手术后 30 天死亡率的医院和地理差异,并检查社会人口统计学、地区水平、临床、肿瘤、治疗和医院特征与老年结直肠癌患者人群中 30 天死亡率增加的关联程度。
数据来源/研究范围:来自于 2000 年至 2005 年间接受手术切除的 47459 名年龄在 66 岁或以上的结直肠癌患者的监测、流行病学和最终结果(SEER)和医疗保险数据,这些患者居住在 13182 个人口普查区,在 1447 家医院接受治疗。
一项观察性研究,使用多水平逻辑回归来确定医院和患者层面的 30 天死亡率的预测因素和变异性。
数据收集/提取方法:我们从医疗保险索赔、SEER 和人口普查数据中提取了社会人口统计学、临床、肿瘤、治疗、医院和地理特征。
在 47459 名结直肠癌患者中,有 6.6%的患者在手术后 30 天内死亡。在居住的人口普查区(预测死亡率范围:2.7-12.3%)和医院(预测死亡率范围:2.5-10.5%)之间存在调整后的 30 天死亡率变异性。85 岁以上(12.7%)、贫困率超过 20%(8.0%)、两种或更多合并症(8.8%)、诊断时为 IV 期(15.1%)、未分化肿瘤(11.6%)和急诊手术(12.8%)的结直肠癌患者在 30 天内死亡的风险更高。
在 66 岁及以上的结直肠癌患者中,手术后 30 天死亡率在人口普查区和医院之间存在很大差异,但差异相似。30 天死亡率的风险不仅由患者和医院特征驱动,还受更大的社会经济因素驱动,这些因素反映了地理区域的特点。