Purpose: The Schedule for the Evaluation of Individual Quality of Life - Direct Weighting (SEIQoL-DW) is designed to investigate an individual's perspective on their own quality of life (QOL) and has been used widely among various clinical populations, including cancer patients and those with chronic kidney disease, in addition to healthy participants. While the original SEIQoL-DW is a semi-structured interview, other formats have been developed; recently computer-based versions have yielded equivalent results comparable to paper-based versions. However, no previous study has examined differences between the computer-based version and its original interview-based design. The purpose of this study is to assess the feasibility and validity of a computer-based version of the SEIQoL-DW, compared with the original interview-based format.
Methods: We conducted a non-randomized crossover study with 13 medical students from November 2008 to January 2009 at a municipal university in Yokohama, Japan. Both the computer-based and interview-based versions of SEIQoL-DW were administered to all study participants. Wilcoxon-signed rank test was used to compare differences in mean SEIQoL Index score between computer-based and interview-based results. The intra-class correlation coefficient and the Bland and Altman limits of agreement methods were used to compare formats.
Results: No significant differences were found in the SEIQoL-DW Index between the computer-based and interview versions after analysis with Wilcoxon-signed rank test (p = 0.501). The intra-class correlation between formats was 0.94 (CI: 0.81–0.98). The limit of agreement analysis showed that 53.3% of the observations were within ±1–5 units of the average score, while 46.7% were within ±5–10 units. In total, 100% of observations were within ±1–10 units.
Conclusions: The computer-administered version of SEIQoL-DW may be feasible and acceptable and provides a valid alternative, at least in healthy subjects, to the more cumbersome interview version. Use of the computer-based version will facilitate its application to larger patient populations in various clinical settings.