Free RHIT Practice Test

1. Which piece of legislation created a program for detecting fraudulent health plans?

a. Health Insurance Portability and Accountability Act of 1996
b. Nursing Home Reform Act of 1987
c. Patient Self-Determination Act of 1990
d. Consolidated Omnibus Budget Reconciliation Act of 1995

2. Which of the following is a basic assumption of normative decision theory?

a. Decision makers can never fully understand their situations.
b. Decision makers cannot maximize revenue.
c. Decision makers tend toward satisfying choices.
d. Decision makers have total knowledge of the available options.

3. A health care administrator is establishing budgets for staff. It is estimated that the information desk receives 8,000 queries annually. A full-time staff member can handle about 20 queries per day. The employees at the facility typically use nine vacation days and take seven sick days during the year, and there are eleven holidays as well. How many full-time employees should the health care administrator include in the budget, taking into account the productivity adjustment? Round all figures to the nearest tenth and all percentages to the nearest point.

a. 1.1
b. 1.3
c. 1.7
d. 2.5

4. If a test produces 200 true positives, 50 false negatives, 175 true negatives, and 40 false positives, what is the specificity of the test? Round your answer to the nearest percentage point.

a. 27%
b. 57%
c. 81%
d. 91%

5. Which of the following is an advantage of the case-control study design?

a. The case-control study design is less likely to be influenced by bias than the cohort study.
b. It is easy to select an appropriate control group for a case-control study.
c. It is easy to validate the information obtained from a case-control study.
d. The case-control study design requires few subjects relative to other study designs.

Answers & Explanations

1. A: The Health Insurance Portability and Accountability Act created a program for detecting fraudulent health plans. This act, passed in 1996 and implemented in 1998, generally improved the quality, access, and affordability of health insurance. The Nursing Home Reform Act, passed in 1987 and made effective in 1990, established minimum staffing requirements for long-term care facilities. The Patient Self-Determination Act, passed in 1990, mandated a wider dissemination of information to patients about their health options and rights. The Consolidated Omnibus Budget Reconciliation Act of 1985, commonly known as COBRA, established standards for the transfer and discharge of Medicaid and Medicare recipients.

2. D: A basic assumption of normative decision theory is that decision makers have total knowledge of the available options. Indeed, one of the main criticisms of normative decision theory is that it presumes an omniscience that no decision maker will have. Normative decision theory assumes that the decision maker will be able to maximize revenue because he or she will be able to survey available options with clear eyes and make the proper choice. Behavioral decision theory, on the other hand, acknowledges that decision makers will never have total knowledge of the situation and suggests that an emphasis should be placed on satisfying rather than optimal choices.

3. C: The health care administrator will need to include 1.7 full-time employees in the budget. This is a complex calculation, particularly when the productivity adjustment is made. To begin with, it is necessary to calculate the number of full-time employees that would be required if employees worked every day. This is done by first multiplying the number of queries an employee can handle by the number of days in a workweek and the number of weeks in a year: 20 x 5 x 52 = 5,200. This is the total number of queries that a full-time employee could handle in a year if he or she worked every day. For this ideal scenario, the number of required employees can be calculated by dividing the total number of requests by the number of requests each employee can handle: 8,000 x 5,200 = 1.5. However, it is noted in the question that employees do not actually work every day. Full-time employees miss an average of 27 days each, which can be multiplied by the number of hours in a day to yield the total number of nonproductive hours: 27 x 8 = 216. The amount of actual productive time for each employee can then be calculated by subtracting these nonproductive hours from the ideal productive time, 2,080 (calculated by multiplying the number of hours in a workday by the number of days in a workweek by the number of weeks in a year): 2,080 - 216 = 1,864. The productivity rate is calculated by dividing the amount of real productive time by the total possible amount of productive time: 1,864 x 2080 = 0.896 = 90%. The actual number of full-time employees that need to be included in the budget can then be calculated by dividing the number of full-time employees required in the ideal productivity calculation by the productivity rate adjustment: 1.5/90% = 1.7 full-time employees.

4. C: If a test produces 200 true positives, 50 false negatives, 175 true negatives, and 40 false positives, the specificity of the test is 81%. The specificity of a test is the percentage of all true noncases that are identified. In other words, specificity is the success of the test at identifying those members of the population that do not have the condition. Specificity is calculated by dividing the number of true negatives by the total number of noncases (that is, the sum of true negatives and false positives). In this scenario, specificity is calculated 175/(175 + 40) = 175/215 = 81%.

5. D: One advantage of the case-control design is that it requires few subjects relative to other study designs. Some other advantages of this study design are that it is relatively inexpensive, allows the use of already existing records, and poses only a slight risk to subjects. Case-control studies also produce results faster than prospective or cohort studies. However, case-control studies may easily be influenced by recall bias, and it can be very difficult to select an appropriate control group for such a study. Also, validating the information acquired during a case-control study may be difficult.

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Last Updated: 07/05/2017


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