The health report was usually prepared by physician under the clinical decision with laboratory data, examinee personal characteristics of gender, age, race and even his/her occupation, on which the reference normal data were provided by laboratory technicians, and the examiners discriminated abnormal health results through computer programs initially Rasch model with WINSTEPS software was applied to analyze the physical examination data from 462 workers of a regional hospital in southern Taiwan. The measurement items were examined to see whether they fit the Rasch model and whether they match a single construct in order to (1) estimate model parameters, (2) generate demographic comparison reports across items for the sample, and (3) depict the KIDMAP health report for the individual examinee. The results showed that all 9 items fitted the model expectation reasonably well. Rasch analysis could be used to help physicians discriminate examinee health conditions by Fit statistics. We found that the norm-reference should be compared to an individual examinee as to plot KIDMAP to accurately explain health examination reports for patients. The examinees are benefited from KIDMAP detection functions. KIDMAP produced in this study through item response theory was recommended as a monitor calibration of annual physical examinations in hospitals. Copyright © 2012 DRUNPP of Sarajevo.
|Publication status||Published - 2012|
CitationChien, T.-W., Wang, W.-C., Castillo, R. V., & Su, S.-B. (2012). A graphical health report constructed as a KIDMAP using Rasch analysis of IRT model. HealthMED, 6(1), 29-36.
- Health report
- Single construct
- Rasch Analysis