Wirtz and Caspar cite several measures to evaluate the Interobserver agreement . If the focus is on the differences between two advisors, you can use the Wilcoxone test for matching couples. The McNemar test and the marginal homogeneity test test the zero hypothesis that samples of the line and column edge amounts are symmetrical in a contingency table [2,3]. This emphasizes the comparison of distributions. The calculation of agreements at 95% is based on the assumption that the differences between two methods or councils are normally distributed. In our study, distributions of satisfaction ratings are biased. Bland and Altman explain, however, that a non-normal distribution of differences is not likely to constitute a serious injury . Our data show that about 95% of the differences between physicians and patients for all SPA positions are in fact in the two standard deviations from the average. The compliance of satisfaction assessments between physicians and patients can be assessed in different dimensions. It is possible to see if they differ between the two groups or if they focus on measures of association or agreement. The objective of our study was to assess methodological difficulties in calculating the consistency between patient and physician satisfaction assessments and to demonstrate the relevance of common decision-making research. The matching limits between the two methods were 95% -1.18 mm and 1.25 mm.
The compliance of satisfaction assessments between physicians and patients can be assessed in different dimensions. It is possible to see if they differ between the two groups or if they focus on measures of association or agreement. We illustrated the difficulty of finding an appropriate method to analyze the satisfaction data distorted during joint decision-making. None of the methods presented was able to satisfactorily grasp the theoretical and clinically relevant agreement between physicians and patients, which was presented in simple cross-tables. Only the Bland-Altman method, supplemented by bar diagrams of differences between physicians and patients, was more consistent than that proposed by other methods. Compliance limits for both brake saddle measurements were -0.4 mm and 0.42 mm. Association between the physician and patient satisfaction ratings measured with weighted kappa, percentage of agreement, and Kendalls b The percentages of agreement are also low. For example, in point 1, the percentage of the agreement is only 55.3%. Table 1.1 shows that 36.4% of cross-assessments indicate that physicians are “consensual” and that patients are “highly consistent”.