Stratification is the separation and classification of data into reasonably homogenous categories. It allows understanding of differences in the data caused by all of the following EXCEPT:
Answer(s): D
"A quality improvement team is interested in determining the percentage of medication orders that are delivered to nurses' stations within one hour of the order's receipt in the pharmacy. Before collecting data on this question, the team should determine whether it believes that this percentage could differ by floor, time of day, day of week, type of medication ordered, pharmacist on duty, or volume of orders received. If the team believes that one or more of these factors will influence the outcome, it should take steps to ensure that it collects the data relevant to these factors each time the pharmacy receives an order." This example explains:
Answer(s): A
Sampling is a key that healthcare professionals need to develop. If a process does not generate a lot of data, you probably will analyze all the occurrences of an event and not need to consider sampling. Sampling usually is not required when the measure is:
Answer(s): A,B
_______________ is based on a simple principle-statistical probability. In other words, within a known population of size n, there will be a fixed probability of selecting any single element.
If you decided to interview ten patients in your emergency room on a given day and drew conclusions about your emergency services from these people. You have taken limited data and made a huge jump in logic. This jump is known as:
Answer(s): C
Post your Comments and Discuss Healthcare CPHQ exam prep with other Community members:
Our website is free, but we have to fight against AI bots and content theft. We're sorry for the inconvenience caused by these security measures. You can access the rest of the CPHQ content, but please register or login to continue.