Using graphical representations to enhance the quality-of-care for colorectal cancer patients

The study was to enhance adherence to quality-of-care guidelines for colorectal cancer (CRC) patients through plotting graphical representations. Rasch analysis was performed to examine the unidimensional measurement of the 13 core indicators. An author-made Excel module was applied to plot the so-called Wright map and KIDMAP in education field to report physicians' adherence to the quality-of-life guidelines. We found that the scale of the quality-of-care guidelines for patients with colon cancer is unidimensional. A total of 15 (3.8%) and 14 (3.5%) persons' response patterns (i.e., Outfit MNSQs >2.0 and 4.0, respectively) are aberrantly dispersed from the majority of sample according to their estimated parameters of persons and indicators. It can be used for investigating the root cause of the 1ow measures and/or the most unexpected aberrant pattern of responses using Rasch analysis once any one indicator of unexpectedly aberrant treatment (p < .05) presents. The Rasch model can deal with these binary and/or missing data frequently seen in clinical settings. We confirm this computer module can contribute to ensuring that hospitals adhere to the treatment guidelines for patients with colon cancer.