Utilizing electronic technologies to measure patient-reported outcomes (PRO) assessment completion time.

Abstract

69 Background: Patient-reported outcomes (PROs) contribute to the assessment and treatment of cancer-related fatigue (CRF). Paper-based symptom assessments are cumbersome and time-consuming. Electronic assessments are an efficient alternative. This study describes CRF Clinic patients at a major cancer Institution, the time they required to complete self-reported CRF symptom assessments via a tablet computer (iPad), and the factors influencing PRO assessment completion time. Methods: From 1/1/2011 to 8/21/2012, 190 newly-referred CRF Clinic patients utilized an iPad to complete standardized CRF symptom assessments for: fatigue, pain, depression, anxiety, stress, sleepiness, and apathy. A web-based assessment module (BrightOutcome) was employed, which recorded assessment start and completion times. Non-Parametric test statistics were utilized for analysis. Results: Of the initial 190 patients, 3 were excluded due to non-cancer diagnoses and 1 was excluded due to an erroneous completion time of 8,903 minutes. Sample size is 186 patients; mean age was 55.49 years (range: 31-89); 69.4% (n = 119) were female. Patient mean fatigue score (Brief Fatigue Inventory) was 6.4. Mean assessment completion time was 16.73 minutes (range: 4-47). Assessments took longer to complete for patients ≥ 65 years (mean: 21.53 minutes; range: 9-43), males (mean of 18.3 vs. 16 minutes for females), patients with severe fatigue (7-10) (mean 18.31 minutes; range: 4-47), greatest apathy (38-72) (mean: 19.5 minutes; range 8-47), those with active cancer (mean: 18.02 minutes vs. 15.15 minutes in cancer survivors), and those with 2 or more comorbidities (mean: 18.41 minutes vs. 15.86 minutes in those with less than 2 comorbidities). Pain severity and interference, anxiety, depression, stress, and sleepiness did not statistically significantly impact assessment completion time. Conclusions: Patients who are older, male, fatigued, apathetic, with active cancer or with 2 or more comorbidities may require longer in-clinic time to complete standard symptom assessments. Further studies exploring these and other patient characteristics potentially impacting the integration of new technologies into patient care and research are warranted.