NAHQ Updated CPHQ Exam Questions and Answers by kingsley

Collecting social determinants of health (SDOH) data is crucial for understanding the broader context in which patients live, which can significantly impact their health outcomes. The purpose of gathering this data is to evaluate connections between the disease and the living conditions (Answer C). SDOH includes factors like housing stability, education, income, and access to healthcare, which can all influence the prevalence and management of diseases, such as respiratory conditions managed by a pulmonologist. By understanding these factors, healthcare providers can tailor interventions to address not just the clinical aspects of care, but also the environmental and social conditions that affect patient health.

The other options are less directly aligned with the core purpose of SDOH data collection:

Facilitating the patient's application for state resources (A) is a possible secondary outcome but not the primary reason for collecting SDOH data.

An update to the electronic medical record system (B) may prompt the collection of such data, but it is not the underlying purpose.

Meeting a new quality metric (D) might be a requirement, but the primary goal is to understand and address the impact of SDOH on health outcomes.

References:

National Association for Healthcare Quality (NAHQ) - Certified Professional in Healthcare Quality (CPHQ) Study Materials.

Social Determinants of Health and Their Impact, NAHQ Documentation.

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In the case of three medication incidents involving narcotics that were near misses, the best tool to identify influencing factors is a Root Cause Analysis (RCA). RCA is a systematic process used to investigate and understand the underlying causes of adverse events or near misses. The goal is to identify contributing factors and underlying system issues that need to be addressed to prevent future occurrences. RCA is particularly suited for situations where an incident has already occurred and the organization needs to understand how and why it happened.

Report from electronic health record (EHR) (A): While EHR data can provide useful information, it is not a tool for identifying root causes of incidents.

Proactive risk assessment (C): This would be more appropriate before incidents occur, not after near misses.

Nominal group technique (D): This is a group decision-making process and is less suited for detailed analysis of incidents compared to RCA.

References

NAHQ Body of Knowledge: Root Cause Analysis in Incident Investigation

NAHQ CPHQ Exam Preparation Materials: Incident Analysis Tools

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 In the context of performance improvement and quality control, variations in a process are typically categorized as either common cause or special cause12345.

Common cause variation is the kind of variation that is part of a stable process. These are variations that are natural to a system and are quantifiable and expected1. They are predictable, ongoing, and consistent1. Major changes would typically have to be made in order to change the common cause variations1. You can identify common cause variation points on the control chart of a process measure by its random pattern of variation and its adherence to the control limits1.

Special cause variation, on the other hand, is unexpected variation in the process14. There is a specific cause that can be assigned to the variation4. These variations are unusual, unquantifiable, and are variations that have not been observed previously, so they cannot be planned for and accounted for1. These causes are typically the result of a specific change that has occurred in the process, with the result being a chaotic problem1. You can identify special cause variation on a control chart by their non-random patterns and out-of-control points15.

In the given scenario, the performance improvement team has been examining delays in getting admissions from the emergency room to the nursing units. After six months of collecting data, the upper control limit was 150 minutes, and the lower control limit was 60 minutes. The next month’s data shows a time of 155 minutes. This time of 155 minutes is beyond the established upper control limit of 150 minutes. Therefore, this represents a special cause variation15, as it is an unexpected variation that significantly deviates from the established control limits.

References: 12345

Performance improvement (PI) is the continuous study and improvement of processes with the intent to better services or outcomes, and prevent or decrease the likelihood of problems, by identifying areas of opportunity and testing new approaches to fix underlying causes of persistent/systemic problems or barriers to improvement1.

PI is based on the assumption that most problems are related to the processes rather than the people who perform them2. Therefore, studying and understanding the processes that deliver the services or outcomes is essential to identify the root causes of problems, the gaps between current and desired performance, and the potential solutions to improve them34.

PI uses various methods and tools to analyze and measure processes, such as flowcharts, process maps, cause-and-effect diagrams, Pareto charts, histograms, control charts, run charts, and scatter diagrams5. These tools help to visualize the steps, inputs, outputs, and variations of a process, and to monitor and evaluate its performance over time6.

PI also uses various models and frameworks to guide and accelerate improvement work, such as the Model for Improvement, Plan-Do-Study-Act (PDSA) cycles, Lean, Six Sigma, and Total Quality Management (TQM)7. These models and frameworks help to define the aim, the measures, and the changes for improvement, and to test and implement them in a systematic and iterative way8.

Therefore, in order to make effective long-term changes, PI emphasizes the need to study and understand the processes that produce the services or outcomes, as this will help to identify and address the sources of variation, waste, and inefficiency, and to achieve better quality, safety, equity, value, and system sustainability9 . References: 1: QAPI Description and Background | CMS 2: Basics of Quality Improvement | AAFP 3: How to Improve: Model for Improvement | Institute for Healthcare Improvement 4: Performance Management and Quality Improvement - CDC 5: [Tools for Quality Improvement | NAHQ] 6: [Quality Improvement Tools and Methods | Agency for Healthcare Research and Quality] 7: [Quality Improvement Models and Frameworks | NAHQ] 8: [Quality Improvement Essentials Toolkit | Institute for Healthcare Improvement] 9: [Healthcare Quality and Safety Workforce Report: New Imperatives for Quality and Safety Mean New Imperatives for Workforce Development | NAHQ] : [The Financial Case for Quality as a Business Strategy | NAHQ] : [Tools for Quality Improvement | NAHQ] : [Quality Improvement Tools and Methods | Agency for Healthcare Research and Quality] : [Quality Improvement Models and Frameworks | NAHQ] : [Quality Improvement Essentials Toolkit | Institute for Healthcare Improvement] : [Healthcare Quality and Safety Workforce Report: New Imperatives for Quality and Safety Mean New Imperatives for Workforce Development | NAHQ] : [The Financial Case for Quality as a Business Strategy | NAHQ] : Tools for Quality Improvement | NAHQ : Quality Improvement Tools and Methods | Agency for Healthcare Research and Quality