Quantitative

Descriptive statistics were used to present the patient baseline characteristics, e-EQ-5D-5L/VAS completion rate and time, PEOU and PU ratings and summative scores, and doctor’s time. Response rate was calculated by dividing the number of patients who had repeated the e-EQ-5D-5L/VAS by the total number of patients who had attended the follow-up in the clinics.

Differences in the completion time of e-EQ-5D-5L by the patient and doctor’s time spent on interpreting e-EQ-5D-5L, and summative scores of PEOU and PU between baseline and the two follow-ups were tested by repeated measure ANOVA. The differences in PEOU (agree/strongly agree to all items) and PU (agree/strongly agree to at least one item) ratings across three time-points were tested by chi-square test. Multiple linear regression was carried out to evaluate whether the patients’ socio-demographics, clinical characteristics, baseline e-EQ-5D-5L utility score and VAS score predicted the PEOU and PU outcomes of patients and doctors. All statistics and figures were generated with the use of IBM SPSS Statistics 17. P-value of less than 0.05 was considered as statistically significant.