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• W2885588232 abstract "Objectives: A guideline means a protocol designed to help the decision in health system. Whether the protocol is still available for the recent input data is important. The aim of this study is to find a way to monitor the medical guideline, which could help the physician to find out whether the medical guideline is valid for the new patients or a different group of population, and when it should be maintained or updated. Methods: Proportion is the most important variable in diagnostic test. We simulated several pairs of data sets with different proportions. One of each pair was standard and the other had the proportion changed. Two diagnostic tasks had been comparing to find the delay in sample sizes for change detection. Two data management models were used, one of which was acquiring all data before and the other was sliding windows of a fixed size which acquired the most recent samples. Results: The sample sizes for delay detection were calculated with different levels in proportion and changes, and showed with 95% confidence level for estimating. The results also indicate that the sliding window model gave less sample sizes of delay which means more effective. Conclusion: The proper sample sizes could be chosen based on statistical principles in order to estimate the exact change point when it happens, which could help clinicians while monitoring clinical guidelines." @default.
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• W2885588232 date "2018-06-01" @default.
• W2885588232 modified "2023-09-23" @default.
• W2885588232 title "Monitoring the Effectiveness of Clinical Guidelines: Is the Recommendation Still Valid?" @default.
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