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:

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“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:

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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:

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_______________ 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.

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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:

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Quality circles are groups of five to ten employees, with management support, who meet to solve problems and implement new procedures.

The aim/s of quality circle activities is/are:

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Basically an operational definition is a description in quantifiable terms, of what to measure and the specific steps needed to measure it constantly.

A good operational definition:

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Using the same operational definition becomes even more critical if you are trying to compare several hospitals or clinics in a system. When national hospitals are made, the operational definition challenge becomes extremely complex. All good measurements begin and end with_____________.

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The problem with using readily available, convenient data is that the data usually do a poor job of answering the questions necessary to access performance. Ten years ago this “good enough” approach to data collection might have been acceptable. Today, however, because of the increasing demand to demonstrate effectiveness of care and efficiency of healthcare processes, this mind set is not acceptable. Performance quality and excellence do not occur because organizations do what they have always done or what is convenient.

Most healthcare observers agree that:

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The data collection phase of the journey consists of two parts: (1) Planning for data collection and (2) The actual data gathering. A well designed data collection strategy should address different analytical questions.

Which of the following is/are the part of planning section for data collection?

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