Several Factors Why The Industry Of Selisistat Is More Complete Right Now

For Medical aid participants, the expenditures decreased in April 2012 (figure 4). The trend of daily drug utilisation increased significantly after the drug price reduction, and decreased after the guidelines were implemented. The average number of drugs per month showed an increasing trend after the drug price reduction, but it decreased after the new guidelines. Only the baseline time variable was significant for per cent of original drugs (table 2). Table?2 Results of the segmented regression buy ABT-888 analysis for drug utilisation* Table?3 shows the results of the segmented regression analysis for expenditures. For expenditures, the effects of the drug price reduction at the time when the policy was implemented were bigger than those of the new guidelines. However, the effects of the new guidelines were bigger than those of the drug price reduction for the trends after the policy was implemented. Table?3 Results of the segmented regression analysis for expenditure* The probabilities of drug overutilisation and prohibited combination showed a significant upward trend after the drug price reduction, but they showed a downward trend after the new guidelines (table 4). Table?4 Results of the segmented regression analysis for the probabilities of drug overutilisation and prohibited combination* Marginal effects for the dependent variables are presented in table 5. Antihypertensive drug costs decreased by 4.2217 (26%) USD in December 2013 as a result of both policies. The effects of the guidelines decreased expenditures, daily drug utilisation and average number of drugs per month more than did the drug price reduction. Table?5 Marginal effects from results of segmented regression analysis Discussion In this study, we identified the policy effects of the drug price reduction and guidelines, which prescribe restriction, on the utilisation and expenditures of antihypertensive drugs. We used the segmented regression analysis to classify the effects of policies. Segmented regression analysis of interrupted time series analysis is a useful method to evaluate policy evaluation.19 It can compare the time series pattern before the intervention with the pattern after the intervention. As systematic changes can occur over time, this analysis is frequently used to measure the degree of change in the use of medical care.19 20 22�C25 Most studies using segmented analysis were analysed with time-aggregated data without considering the personal level. Sen et al's20 study used segmented regression analysis with data aggregated into ��person-months.�� This study was conducted based on Sen et al's method, and thus it was able to overcome the limitation mentioned by most studies regarding an unadjusted case-mix. This study employed the GEE model. Model selection between GEE or the mixed model is a matter of debate.