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After adjusting for patient survey and other factors (model 2), these rate ratios decrease to levels of little practical significance, suggesting that the high disenrollment rate from these practices can be explained by low scores on patient experience and satisfaction.
Moreover, the differences between Korea and Japan in the intention to implement sustainability practices can be explained by the individualism dimension in which Korea and Japan have significant differences, with Korea having a score of 18 while Japan scores 46.
In addition, the reduction in unexplained variation at practice level once the model was adjusted for a range of practice and doctor related factors implies that much of the variation between practices can be explained by these factors (detailed in table 4), some of which may be modifiable and used to drive improvement in quality.
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This practice can be explained, however, by assuming that credit-card borrowing is the result of (largely) irrational impulse spending, while the retirement saving deductions are assumed to have been set up by the cool-headed, rational side of the consumer's nature.
If this is so, we must ask in what other terms this practice can be explained or reconstructed.
The poor practice can be explained by the fact that, shortage of nursing staff limits the working time available for each patient's care.
Second, we will study to what extent practice variation can be explained by specific characteristics of the practices involved at either the patient level (such as age, gender and the presence of risk factors), or in terms of practice characteristics (such as practice type or the level of practice support personnel).
To probe this further, in this article we examine – based on the policy network approach – how the gap between high-level national policies and local practice implementation can be explained in the current Chinese context.
Variations in practice rates can be explained by intrapersonal (e.g. motivation); interpersonal (e.g. patient response) and organizational (e.g. resources) factors [ 11, 23- 27].
Thus, depending on the clinical circumstances, both under- and over-treatment do occur in current medical practice and can be explained by the threshold model [ 4- 6].
Therefore, positive association of patients' perspectives with practice quality measures can be explained, as the quality indicators of practice organisation and chronic care used during this study could be related to these proactive CCM elements [ 6].
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