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• W2480971886 abstract "Objectives: To characterize the length of time between critical points in the care of women with ovarian cancer and determine the impact of patient demographics. Methods: A retrospective chart review was performed for all patients diagnosed with ovarian cancer in the past 3 years at a large community hospital. Forty-five patients were identified who met the inclusion criteria for the study. The patient demographics recorded were age at diagnosis, race, insurance type, geographic and driving distance to the hospital, cancer stage, and preoperative CA-125. The critical time points used were date of initial concerning imaging (T1), first gynecologic oncology appointment (T3), initiation of treatment (T4), and adjuvant therapy (T5). Univariate analyses were used to determine associations between specific patient demographics and the time intervals above. Results: Patient demographics are included in Table 1. The mean age at diagnosis was 61 years. The mean geographic and driving distance between the patient’s home and hospital was 9.2 and 10.9 miles, respectively. Most patients were Caucasian (58%), Medicare enrollees with supplemental insurance (44%), and diagnosed at an advanced stage (63%). Preoperative CA-125 was more than 200 in 62% of the patients. The average time from initial imaging to initiation of treatment was 37.5 days. The time from initial imaging to first office-based visit with a gynecologic oncologist was 18.1 days, and it took an additional 19.4 days to initiate treatment. The average time from surgery to adjuvant chemotherapy was 31.9 days. Conversely, the average time from the start of neoadjuvant chemotherapy to interval cytoreductive surgery was 102.6 days. (See Table 2.) There were no statistically significant associations between the patient demographics and length of time intervals. (See Table 2.) Conclusions: Considering that ovarian cancer is often diagnosed at an advanced stage with low 5-year survival rates, it is important to ensure rapid transit through health care systems to prevent delay in diagnosis and treatment. This study is the first US characterization of health care transit times for patients with ovarian cancer. Additional studies with larger sample sizes and varied health care systems are needed to identify meaningful predictors of transit time to standardize time to treatment.Table 1Patient Demographics.Table 2Transit Time Intervals.Table 2Transit Time Intervals." @default.
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• W2480971886 date "2016-06-01" @default.
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• W2480971886 title "'When will my cancer be addressed?' A retrospective evaluation of factors that contribute to delay in care for women with ovarian cancer" @default.
• W2480971886 doi "https://doi.org/10.1016/j.ygyno.2016.04.240" @default.
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