NAHQ CPHQ NAHQ Certified Professional in Healthcare Quality Online Training
NAHQ CPHQ Online Training
The questions for CPHQ were last updated at Mar 06,2025.
- Exam Code: CPHQ
- Exam Name: NAHQ Certified Professional in Healthcare Quality
- Certification Provider: NAHQ
- Latest update: Mar 06,2025
Once you have resolved these issues, the data collection should go smoothly. Unfortunately, many quality improvement teams do not spend sufficient time discussing their data collection plans. They want to move immediately to data collection step.
This haste usually guarantees that the team will:
- A . Reschedule the time and cost
- B . Collect too much (or too little) data
- C . Collect the wrong data
- D . Become frustrated with the entire measurement journey
Two key data collection skills satisfaction and sampling enhance any data collection effort. These skills are based more on___________ and _____________ then on statistics, yet many healthcare professionals have received limited training in both concepts.
- A . Logic and reliability
- B . Relatedness and latest happenings
- C . Ethics and reliability
- D . Logic and clear thinking
Stratification is the separation and classification of data into reasonably homogenous categories, within the data, that are mutually exclusive and facilitate:
- A . Data collection efforts
- B . Discovery of patterns that would not be observed id data were aggregated
- C . Skills that are based more experience than knowledge
- D . frustrated measurement process
For example, if you are using a survey to gather patient satisfaction feedback by email, you would not send a survey t o ever y patient. You would start by sending surveys t o roughly 50 percent of the patients an see how many are returned. This limited survey allows you to determine the response rate. Assume that 25 percent of these patients return the surveys. The next task is to determine how representative of the total population these respondents are. To test this question, you need to develop a profile of the total population. Typically, this profile is based on standard demographics such as gender, age, type of visit, payer class, and whether the respondent is a new or returning patient. If the distribution of these characteristics in the sample is similar (within 5 percent) to that found in the total population, you can be comfort able t hat your sample is reasonably representative of the population. If the characteristics of the sample and the population show considerable variation, however, you should adjust your sampling plan. This example clarifies that:
- A . A well-drawn sample, therefore, should be representative of the larger population
- B . The basic purpose of sampling is to be able to draw a limited number of observations
- C . Sampling is probably the most important thing you can do to reduce the amount of time and
resources spent on data collection - D . Sampling consists of series of compromises and tradeoffs
All of the following are characteristics of probability sampling EXCEPT:
- A . A specific statistical design is followed
- B . The selection of items from the population is determined solely according to known probabilities by means of a random mechanism, usually using a table of random digits
- C . The sampling error (i.e., the difference between results obtained from a sampling survey and results that would have been obtained from a census of the entire population conducted using the same procedure as in sampling survey) can be estimated, and, as a result, the precision of the sample result can be evaluated.
- D . Listing of selected sample on a priority basis on a sampling sheet
Systematic sampling is achieved by numbering or ordering each element in the population (e.g., time order, alphabetical order, and medical order) and then selecting every kth element.
The key point that most people ignore when doing a systematic sample is that:
- A . The starting point for selecting every kth element should be guaranteed through a random process and should be equal to or less than k but greater than zero.
- B . The starting point for selecting every kth element should be guaranteed through a random process and should be less than k but greater than zero.
- C . The starting point for selecting every kth element should be guaranteed through a random process and should be greater than zero.
- D . The starting point for selecting every kth element should be guaranteed through a random process and should be equal to or greater than zero.
A random sampling also can be drawn by placing equally sized pieces of paper with a range of numbers on them (e.g., 1 to 100) in a bowl and picking a predetermined number to be the sample.
The problem with simple random samples is that:
- A . They may under represent segments of population
- B . They may over represent segments of population
- C . They may over or under-represent segments of population
- D . They cannot truly depict the samples
Convenience sampling produces a biased sample that is basically a collection of anecdotes that cannot be applied generally to larger populations.
Convenience sampling is also known as:
- A . Quota sampling
- B . Judgment sampling
- C . Expert sampling
- D . Chunk sampling
Quota sampling was developed in the late 1930s and used extensively by the Gallup organization. Babbie (1979) describes the steps involved in developing a quota sample.
All of the following are out of those steps EXCEPT:
- A . Develop a matrix describing the characteristics of the target population. This may entail knowing the proportion of male and female; various age, racial and ethnic proportions; as well as the education and income levels of the population
- B . Once the matrix has been created and a relative proportion assigned to each cell in the matrix, data are collected from persons having all the characteristics of a given cell
- C . All persons in a given cell are then assigned a weight appropriate to their proportion of the total
- D . When all the sample elements are so weighted, the overall data should provide a reasonable representation of the majority of the samples
Statistical analysis conducted with control charts is different from what some consider “traditional research” (e.g. hypothesis testing, development of p-values, design of randomized clinic trials). Traditional research is designed to compare the results at time one (e.g. the cholesterol levels of a group of middle-aged men) with the results at time two (typically months after the initial measure). Research conducted in this manner is referred to as___________________.
- A . Static group comparison
- B . Continuous distribution
- C . SPC
- D . None of these
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