A prospective study of the feasibility and acceptability of a Web-based, electronic patient-reported outcome system in assessing patient recovery after major gynecologic cancer surgery

PurposeThe purposes of this study are to evaluate the feasibility of capturing patient-reported outcomes (PROs) electronically and to identify the most common distressing symptoms in women recovering from major gynecologic cancer surgery.MethodsThis was a prospective, single-arm pilot study. Eligible participants included those scheduled for a laparotomy for presumed or known gynecologic malignancy. Patients completed a Web-based “STAR” (Symptom Tracking and Reporting for Patients) questionnaire once preoperatively and weekly during the 6-week postoperative period. The questionnaire consisted of the patient adaptation of the NCI CTCAE 3.0 and EORTC QLQ-C30 3.0. When a patient submitted a response that was concerning, an automated email alert was sent to the clinician. The patient's assessment of STAR's usefulness was measured via an exit survey.ResultsForty-nine patients completed the study. The procedures included the following: hysterectomy ± staging (67%), resection of tumor (22%), salpingo-oophorectomy (6%), and other (4%). Most patients (82%) completed at least 4 sessions in STAR. The CTC generated 43 alerts. These alerts resulted in 25 telephone contacts with patients, 2 ER referrals, one new appointment, and one pharmaceutical prescription. The 3 most common patient-reported symptoms generating an alert were as follows: poor performance status (19%), nausea (18%), and fatigue (17%). Most patients found STAR useful (80%) and would recommend it to others (85%).ConclusionApplication of a Web-based, electronic STAR system is feasible in the postoperative period, highly accepted by patients, and warrants further study. Poor performance status, nausea, and fatigue were the most common distressing patient-reported symptoms.

► Our study demonstrates the feasibility of collecting Web-based patient-reported symptoms during recovery after major gynecologic cancer surgery. ► Such automated systems provide an excellent opportunity to obtain invaluable clinical data from a patient perspective and trigger early intervention.