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This varied by CR indication, with physicians perceiving that a median of 10-30% of patients meet the "preferable" benchmarks, and 21-60% of patients meet the "acceptable" benchmarks.
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It would have been preferable to benchmark against another profile measure.
Specialist perceptions of the appropriate number of days' of wait by CR indication were all at the high end or exceeded the CCS preferable wait time benchmarks, and were at the low end of the acceptable benchmarks.
*p < 0.05; **p < 0.01; ***p < 0.001, independent samples t-tests comparing specialists with CR program perceptions of the percentage of patients meeting preferable and acceptable benchmarks, and of the appropriate number of days' wait.
They were then asked to estimate the percentage of their patients meeting the preferable and acceptable benchmark.
They were then asked to estimate the percentage of patients meeting the preferable and acceptable benchmark at their respective sites, as well as their perceptions of the appropriate number of days waiting for optimal patient outcomes, and their perception of the feasible number of days waiting based on their program capacity.
Thus, we argue that it is preferable to determine a benchmark from nearby streams in reference condition.
Needless to say, a resolved evolutionary species history would be preferable for orthology prediction and benchmarking.
Among the DMUs in the next layer, the most preferable one is selected as the next benchmark target, based on three criteria: attractiveness, progress, and infeasibility.
It is shown that regardless of the benchmark task, the serial manipulators are preferable for small and medium tasks while the quasi-serial ones' better suit to large-dimensional tasks only.
The benchmarks specified the upper limit of both preferable and acceptable wait times, which provided a reasonable standard for physicians to treat patients based on the level of predicted risk.
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CEO of Professional Science Editing for Scientists @ prosciediting.com