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NAHQ CPHQ Certification Exam is a computer-based test that consists of 125 multiple-choice questions. CPHQ exam is administered at Pearson VUE testing centers located throughout the United States and internationally. Candidates have four hours to complete the exam.
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The CPHQ certification exam is open to healthcare professionals from a variety of disciplines, including physicians, nurses, pharmacists, and healthcare administrators. Candidates must meet certain eligibility requirements to take the exam, including a minimum of two years of experience in the healthcare quality field. CPHQ Exam is offered multiple times throughout the year and can be taken at testing centers located throughout the United States and internationally.
NEW QUESTION # 502
Physicians' actions have been noted be a major contributor to unexplained clinical variation in healthcare.
Unexplained clinical variation leads to increased healthcare costs, medical errors, patient frustration, and poor clinical outcomes. The increase in information being collected on physician practice patterns has begun to expose widespread variations in practice.
In healthcare, variation exists among providers by (Choose two):
Answer: B,D
NEW QUESTION # 503
An organization with a focus on population health may use data to
Answer: B
Explanation:
In the context of population health, data is essential for identifying high-risk patients who may benefit from targeted interventions. Here's why:
* Targeted Interventions:
* Identifying high-risk patients allows healthcare providers to allocate resources more efficiently and design interventions that are specifically tailored to those most in need, improving overall population health outcomes.
* Preventive Care:
* By focusing on high-risk patients, the organization can implement preventive measures that reduce the likelihood of adverse health outcomes, which is a key objective in population health management.
* Data-Driven Decision Making:
* Data enables the identification of patterns and trends within the population, helping to stratify patients based on risk and prioritize care for those at the highest risk of complications or poor outcomes.
* Resource Optimization:
* Identifying high-risk patients helps in optimizing the use of healthcare resources by focusing efforts on those who require the most attention, leading to more effective management of the population's health.
While determining the voice of the customer, identifying high-risk low-volume processes, and determining high-cost procedures are valuable, the primary use of data in population health is to identify high-risk patients for targeted interventions.
References:
* NAHQ Guide to Population Health Management
* NAHQ Healthcare Quality Competency Framework: Data Analytics and Risk Stratification
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NEW QUESTION # 504
A team wants to select a group of patients to measure satisfaction with care. Which of the following is an example of probability sampling?
Answer: A
Explanation:
Probability sampling ensures every individual in a population has a known, non-zero chance of being selected, providing a representative sample for statistical analysis.
Option A (Random sampling): This is the correct answer. Random sampling, where each patient has an equal chance of selection (e.g., using a random number generator), is a probability sampling method. NAHQ CPHQ study materials highlight random sampling as a rigorous approach for surveys to ensure unbiased results.
Option B (Convenience sampling): Convenience sampling (e.g., surveying available patients) is non- probability sampling, as it does not ensure representativeness and is prone to bias.
Option C (Focus group sampling): Focus group sampling is typically purposive (non-probability), selecting participants based on specific criteria, not random chance.
Option D (Quota sampling): Quota sampling is non-probability, as it involves selecting a fixed number of participants from predefined groups, not ensuring equal selection probability.
Reference: NAHQ CPHQ Study Guide, Domain 2: Health Data Analytics, defines probability sampling, including random sampling, as a method for representative data collection in quality studies.
NEW QUESTION # 505
Which of the following is the primary benefit of the initial phase brainstorming?
Answer: B
Explanation:
Brainstorming in the initial phase of problem-solving encourages open idea generation to explore possibilities without judgment, setting the stage for collaborative solutions.
Option A (Fosters discussion of ideas): Discussion occurs during brainstorming, but it is a byproduct, not the primary benefit, which is inclusive input.
Option B (Defines problem-solving roles and responsibilities): Roles are defined in team formation, not brainstorming.
Option C (Allows input from all team members): This is the correct answer. The NAHQ CPHQ study guide states, "The primary benefit of initial brainstorming is to allow input from all team members, ensuring diverse perspectives and inclusive idea generation" (Domain 4). This promotes creativity and engagement.
Option D (Focuses on identifying the best solutions): Initial brainstorming generates ideas, not evaluates or selects solutions, which occurs later.
CPHQ Objective Reference: Domain 4: Performance and Process Improvement, Objective 4.2, "Use collaborative techniques for problem-solving," includes brainstorming for inclusive input. The NAHQ study guide notes, "Brainstorming ensures all team members contribute ideas, enhancing solution development" (Domain 4).
Rationale: Allowing all team members to contribute fosters inclusivity and creativity, the primary benefit of initial brainstorming, as per CPHQ's improvement principles.
Reference: NAHQ CPHQ Study Guide, Domain 4: Performance and Process Improvement, Objective 4.2.
NEW QUESTION # 506
Administrative data are information collected, processed and stored in automated information system. Which of the
following is NOT included in that data?
Answer: D
NEW QUESTION # 507
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