IHI QI 103 Testing and Measuring Changes with PDSA cycles Exam Solved Completely

When graphing your data, you should: - ANSWER Annotate the tests of change. When designing your run chart, it is important to include: - ANSWER None of the above The best answer is none of the above. You want your run chart to be as easy to read as possible. Including non-essential information (i.e., information that is not a key measure for your improvement project) such as rates of UTIs where you used to work or the ages of patients or types organisms associated with UTIs will add clutter to your chart and make it harder to understand. Which of the following is a reason for using a dynamic display for data? - ANSWER All of the above The best answer is all of the above. Summary statistics that are static in nature don't give you the appropriate picture of the variation that lives in your data. By plotting data over time, you can observe patterns and find evidence of improvement. How many data points do statisticians recommend to draw a median? - ANSWER 12 As you learned in this lesson from Dave Williams, the best answer is 12. Which of the following statements is true? - ANSWER B and C The best answer is B and C. It is possible and sometimes easiest to draw a run chart by hand. Other times, it can be helpful to use a computer program. The next course will teach you to draw a run chart using a spreadsheet computer program. In a run chart, the variable being measured is typically placed on what axis? - ANSWER Y axis The measured value is usually represented on the Y axis of a run chart. The X axis is usually the time — minutes, hours, days, weeks, months, etc. — or a numerical sequence in cases where data doesn't correspond to units of time. Which of the following methods would you recommend to display your improvement data? - ANSWER Draw a run chart. Run charts are an effective way to view changes over time. They are much easier to interpret visually than a list of numbers or a static display of data such as a bar chart. When designing the run chart, it is important to include: - ANSWER Units of time on the X axis The run chart should display units of time — whether it's days, weeks, or months — on the X axis. The Y axis is where you plot the key variable you are measuring, which in this case is the rate of UTIs. Which of the following is a problem with static data? - ANSWER It doesn't adequately portray variation. Summary statistics that are static in nature don't give you the appropriate picture of the variation that lives in your data. Although you can accurately display data such as the mean, median, or mode, it is not a good way to observe change over time. Which of the following statements is true about using data for improvement? - ANSWER All of the above. The best answer is all of the above. Which of the following describes data stratification? - ANSWER Classifying and separating data according to specific variables Classifying and separating data according to specific variables — a practice called stratification — is a helpful way to understand the story data is telling. The goal of stratification is to find patterns in data that will help you understand the causal factors at work. Stratification helps inform teams' decisions about what changes to make, where, and when. In a run chart, the variable being measured is typically placed on what axis? - ANSWER Y axis The measured value is usually represented on the Y axis of a run chart. The X axis is usually the time — minutes, hours, days, weeks, months, etc. — or a numerical sequence in cases where data doesn't correspond to units of time. Lesson 3 - ANSWER Imagine you're a member of a newly formed improvement team that has taken up the challenge to reduce health care-associated infections at your hospital. You have an idea for a change to the room cleaning process that you want to test, but you're slightly nervous because improper cleaning and disinfection can carry a high risk for patients with compromised immune systems. You haven't run any PDSA cycles yet.