Objective. This is a cross-sectional study aimed to determine the time intervals from the first symptom to surgery of 37 patients with ovarian malignancies who underwent surgery at a tertiary government hospital from June to October 2019.

Methods. Structured interviews of patients and chart reviews were conducted to identify the intervals and the reasons behind such. The data were analyzed using Stata/SE 14.1, with the time intervals presented as medians and the reasons as frequencies. Multinomial logistic regression analysis established the association of time intervals with the extent of surgery and final stage of ovarian malignancies.

Results. The median Total Time Interval from the first symptom to surgery was 214 days. The longest delay was the Total System Interval (from the first visit at the tertiary hospital to surgery) with a median of 70 days. This was followed closely by Patient Interval (from the first symptom to consult with the initial physician) with a median of 64 days. A distant third was the Initial Physician Interval (from the consult with the initial physician to the first visit at the tertiary hospital) with a median of 29 days. Most common reasons for the delays were the patients not acknowledging the gravity of their condition for the Patient Interval; choice to go to other hospitals, distance and laboratory works or diagnostics for the Initial Physician Interval; waiting for laboratory work-ups for the First System Interval; and waiting for other departments' clearance for the Second System Interval. The most common first symptom was abdominal enlargement. The length of interval and the final stage (p=0.056 for Stage III and p=0.162 for Stage IV)) as well as extent of surgery (p=0.093) did not show significant association.

Conclusion. The time interval from first symptom to surgery showed a median of 214 days. The greatest delay is contributed by Total System Interval followed by Patient Interval due to varying reasons. Length of time intervals, however, was not found to be significantly associated with the extent of surgery and final stage

Time-to-Treatment