Sure Pass Exam CPHQ PDF

Within the Health Data Analytics domain, NAHQ emphasizes the use of statistical process control (SPC) to evaluate process stability. A Shewhart chart (control chart) is the primary tool used to determine whether a process is stable and in control.

Shewhart charts include a centerline and statistically derived upper and lower control limits, allowing identification of common-cause versus special-cause variation. A stable process shows data points within control limits without non-random patterns.

Run charts display data over time but lack control limits. Histograms show distribution at a point in time, and scatter diagrams assess relationships between variables. Therefore, Option D is the correct tool for identifying process stability.

The initial step in creating a patient safety program is to assess the organization's current culture of safety. Understanding the existing culture provides a baseline for identifying areas that need improvement and informs the design of the program. It helps the healthcare quality professional understand staff attitudes, behaviors, and perceptions related to patient safety, which are critical to developing a successful and sustainable patient safety program.

Define keyprocesses that contribute to patient complaints (A): This may be part of a broader quality improvement initiative but not the first step in a patient safety program.

Recommend software purchases to enhance the program (C): This is a later step, after the program’s goals and needs have been established.

Identify the applicable patient safety standards (D): While important, this is typically done after assessing the current safety culture.

References

NAHQ Body of Knowledge: Patient Safety and Safety Culture Assessment

NAHQ CPHQ Exam Preparation Materials: Developing a Patient Safety Program

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Under the Health Data Analytics domain, NAHQ emphasizes the use of standardized, nationally recognized data sources for external benchmarking. The National Healthcare Safety Network (NHSN) is the primary surveillance system used for tracking healthcare-associated infections, including central line–associated bloodstream infections (CLABSIs).

NHSN provides risk-adjusted benchmarks, standardized definitions, and national comparison data, making it the most appropriate source for external benchmarking. NIH focuses on research, NQF endorses measures but does not collect performance data, and AHRQ provides tools and reports rather than infection surveillance data. Therefore, Option B is the correct and exam-aligned answer.

A scatter diagram is a graphical tool that displays the relationship between two variables by plotting pairs of data points on a coordinate plane. It can help identify possible correlations, trends, outliers, and patterns in the data.

A Pareto chart is a type of bar chart that shows the frequency or impact of different factors or causes in descending order, along with a cumulative line that indicates the percentage of the total. It can help prioritize the most significant issues or opportunities for improvement.

A fishbone diagram is a visual tool that helps identify the root causes of a problem or effect by organizing possible factors into categories, such as people, process, environment, etc. It can help facilitate brainstorming and root cause analysis.

A histogram is a type of bar chart that shows the distribution of a continuous variable by grouping the data into bins of equal width and displaying the frequency or count of each bin. It can help describe the shape, center, spread, and outliers of the data.

In this case, the long-term care facility wants to analyze the relationship between two variables: the number of medications and the number of falls. Therefore, a scatter diagram is the most appropriate tool to help them understand the data. A scatter diagram can show if there is a positive, negative, or no correlation between the two variables, and how strong or weak the correlation is. It can also reveal any outliers or clusters of data points that may indicate other factors affecting the relationship.

A Pareto chart, a fishbone diagram, and a histogram are not suitable tools for this purpose, as they do not show the relationship between two variables. A Pareto chart can show the relative importance of different factors or causes, but not how they are related to each other. A fishbone diagram can help identify the possible causes of a problem or effect, but not how they are quantitatively related to each other. A histogram can show the distribution of a single variable, but not how it is influenced by another variable.