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

Abstract

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.

Using Rasch KIDMAP to identify whether China dominates the research area of computer science (CS) based on the specialization index of article citations: Bibliometric analysis

“…As a result, the observed responses are significantly higher (or lower) than the expected scores based on the individual's ability expressed in logit units. [19][20][21][22] There is a drawback to those KIDMAP [18][19][20][21][22] in that they do not provide readers with an online version of KIDMAP that can be replicated on their own.…”

Ideas and Methods in Person-Centered Outcome Metrology

“…With his colleagues and students, Wright [122] advanced the ideas of item banking and adaptive item administration [8,28,29,82,129], individualized "kidmap" reports [26,27,131] and self-scoring forms [12,50,79,80,86,126,128,132]. All of these depend on understanding measurement as operationalized via structurally invariant, anchored item estimates and networks of instruments read in a common language at the point of use [46,117].…”

“…• Fifth, instead of reifying unidimensionality in a rigid and uncompromising way, we take the pragmatic idealist perspective of using empirically and theoretically validated standards to illuminate differences that make a difference, and, conversely, tapping even small degrees of correlation between different dimensions for the information available [3,113,119]. • Sixth, instead of siphoning off data into research and management reports incapable of affecting the care of the individual patients involved, we advocate immediately feeding back at the point of care coherent [53,111] contextualized and structured diagnostic reports; i.e., self-scoring forms and "kidmaps" which we may call "PatientMaps", "ClientMaps", or "PersonMaps" [12,18,26,27,50,79,80,86,111,114,115,131,132]. • Seventh, instead of assuming that statistical averages of ordinal scores are adequate to the needs of individual patient care, and instead of assuming even that logit measures and uncertainties are capable of summarizing everything important about an individual patient experience, we advocate displaying patterns of individual ratings illustrating diagnostically relevant special strengths and weaknesses; by acknowledging the multilevel semiotic complexity of all signification in language in this way, we recognize the nature of measured constructs as boundary objects "plastic enough to be adaptable across multiple viewpoints, yet maintain continuity of identity" [45, 47, 54, 101, p. 243].…”

Separation Theorems in Econometrics and Psychometrics: Rasch, Frisch, Two Fishers and Implications for Measurement

“…The result is that Frisch’s concept of autonomy is realised only in the context of specific data sets, and is assumed to apply only in terms of broad scale top-down policy implementations. This contrasts markedly with the generalised autonomy realised via Rasch models, when locally applicable instruments are calibrated and disseminated for point-of-use interpretation, informing bottom-up co-ordinations, alignments and harmonisations of individual behaviours and decisions (Bezruczko, 2005; Chien et al, 2018; Masters et al, 1999; Wilson, 2018; Wright et al, 1980).…”