WGU D514 STUDY EXAMS GUIDE QUESTIONS
AND ANSWERS SET A+
✔✔Disease registries - ✔✔These are a hybrid between transaction systems and data
warehouses. They are designed for tracking explicitly defined data at a case-specific
level. Some examples are trauma registries to track emergency department data,
cancer registries, immunizations registries, and numerous others.
✔✔Errors - ✔✔Incorrect application of a statistical test can result in a type I error, which
occurs when a null hypothesis is rejected when it should have been accepted. A type II
error is experienced when the alternative hypothesis is rejected when it should have
been accepted.
✔✔Measurement and decision support - ✔✔Measurement is used within an
organization to monitor improvements in systems and processes through analysis of
current performance trends, identify key opportunities, and consider leading practices
informed by new research-based knowledge. Decision support provides an information
platform to evaluate leading, lagging, and real-time performance measures.
✔✔Outcome evaluation - ✔✔An outcome evaluation focuses on the end result of a
specific program or initiative, generally clinically measured by improvements in
morbidity, mortality, or vital measures of symptoms, signs, or physiologic indicators.
✔✔Quality improvement - ✔✔Quality improvement is measured internally and externally
using various benchmarks and indicators. These indicators are quantified by
proportions, percentages, ratios, means, medians, and counts to measure processes,
perspectives, and outcomes aligned with a certain initiative or decision.
✔✔Quality measures - ✔✔In today's healthcare environment, administrators receive
numerous quality reports on a regular basis. These reports are generated for internal
quality improvement projects, for mandated external reports to government agencies,
and for compliance with accrediting body requirements. As a value-based purchasing
, model evolves in healthcare, quality measures become pivotal operational "pulse
checks" to administrators.
✔✔Statistical testing and treatment - ✔✔The basis of statistical testing is whether or not
the study results have a proven relationship to a change in processes or care
modalities. Results that are statistically significant do not automatically indicate clinical
significance.
✔✔Transaction systems - ✔✔Transaction systems divide data according to individual
operations. The data stored by transaction systems is granular and based on
specialized systems.
✔✔Risk adjustment is used in all major public programs offering health coverage in the
United States—including Medicare Advantage (MA), Medicare Part D, and state
Medicaid managed-care programs.
Multivariate regression is a statistical technique that produces an equation or model
measuring the statistical relationship between patient characteristics and the cost of
care.
For population health initiatives, you may use a data warehouse to compare care
outcomes on separate cohorts of patients and evaluate healthcare and costs.
Changes to regression models do as much or more to increase explanatory power as
do additional data sources. Adding more risk factors, using a different time frame,
changes to the treatment of the highest-cost cases, and including prior use or
expenditures are examples of changing the regression model. - ✔✔Risk adjustment
refers to using statistical methods to account for patient factors associated with a
greater vulnerability of certain outcomes. Statistical risk adjustment is often used for
performance measures.
Numerous data sources are used for risk adjustment, such as demographic data, self-
reported health status of patients, laboratory and clinical data, and previous healthcare
expenditures. A formula is developed to calculate risk scores based on consequences
(e.g., clinical or financial outcomes) expected in one cohort of patients compared to
another with similar factors. Risk adjustment may also be used for process
measurements, such as subsets of patients that should all receive certain lab tests.
Several types of research methods are used for risk adjustment, the most common
being multivariate regression.
Based on the reading, which statements convey risk adjustment?
✔✔Risk adjustment is intended to counteract the incentive for plans to make their plan
more attractive to patients who are low-risk and less attractive to patients with greater
healthcare needs, among both potential enrollees and current members. - ✔✔Risk
adjustment refers to using statistical methods to account for patient factors associated
with a greater vulnerability of certain outcomes. Statistical risk adjustment is often used
for performance measures.
AND ANSWERS SET A+
✔✔Disease registries - ✔✔These are a hybrid between transaction systems and data
warehouses. They are designed for tracking explicitly defined data at a case-specific
level. Some examples are trauma registries to track emergency department data,
cancer registries, immunizations registries, and numerous others.
✔✔Errors - ✔✔Incorrect application of a statistical test can result in a type I error, which
occurs when a null hypothesis is rejected when it should have been accepted. A type II
error is experienced when the alternative hypothesis is rejected when it should have
been accepted.
✔✔Measurement and decision support - ✔✔Measurement is used within an
organization to monitor improvements in systems and processes through analysis of
current performance trends, identify key opportunities, and consider leading practices
informed by new research-based knowledge. Decision support provides an information
platform to evaluate leading, lagging, and real-time performance measures.
✔✔Outcome evaluation - ✔✔An outcome evaluation focuses on the end result of a
specific program or initiative, generally clinically measured by improvements in
morbidity, mortality, or vital measures of symptoms, signs, or physiologic indicators.
✔✔Quality improvement - ✔✔Quality improvement is measured internally and externally
using various benchmarks and indicators. These indicators are quantified by
proportions, percentages, ratios, means, medians, and counts to measure processes,
perspectives, and outcomes aligned with a certain initiative or decision.
✔✔Quality measures - ✔✔In today's healthcare environment, administrators receive
numerous quality reports on a regular basis. These reports are generated for internal
quality improvement projects, for mandated external reports to government agencies,
and for compliance with accrediting body requirements. As a value-based purchasing
, model evolves in healthcare, quality measures become pivotal operational "pulse
checks" to administrators.
✔✔Statistical testing and treatment - ✔✔The basis of statistical testing is whether or not
the study results have a proven relationship to a change in processes or care
modalities. Results that are statistically significant do not automatically indicate clinical
significance.
✔✔Transaction systems - ✔✔Transaction systems divide data according to individual
operations. The data stored by transaction systems is granular and based on
specialized systems.
✔✔Risk adjustment is used in all major public programs offering health coverage in the
United States—including Medicare Advantage (MA), Medicare Part D, and state
Medicaid managed-care programs.
Multivariate regression is a statistical technique that produces an equation or model
measuring the statistical relationship between patient characteristics and the cost of
care.
For population health initiatives, you may use a data warehouse to compare care
outcomes on separate cohorts of patients and evaluate healthcare and costs.
Changes to regression models do as much or more to increase explanatory power as
do additional data sources. Adding more risk factors, using a different time frame,
changes to the treatment of the highest-cost cases, and including prior use or
expenditures are examples of changing the regression model. - ✔✔Risk adjustment
refers to using statistical methods to account for patient factors associated with a
greater vulnerability of certain outcomes. Statistical risk adjustment is often used for
performance measures.
Numerous data sources are used for risk adjustment, such as demographic data, self-
reported health status of patients, laboratory and clinical data, and previous healthcare
expenditures. A formula is developed to calculate risk scores based on consequences
(e.g., clinical or financial outcomes) expected in one cohort of patients compared to
another with similar factors. Risk adjustment may also be used for process
measurements, such as subsets of patients that should all receive certain lab tests.
Several types of research methods are used for risk adjustment, the most common
being multivariate regression.
Based on the reading, which statements convey risk adjustment?
✔✔Risk adjustment is intended to counteract the incentive for plans to make their plan
more attractive to patients who are low-risk and less attractive to patients with greater
healthcare needs, among both potential enrollees and current members. - ✔✔Risk
adjustment refers to using statistical methods to account for patient factors associated
with a greater vulnerability of certain outcomes. Statistical risk adjustment is often used
for performance measures.
