GCU HLT362 Full Course: Statistics for Health Care Professionals

Question

HLT362 Applied Statistics for Health Care Professionals

Week 1 Discussion

DQ1 Discuss
the historical application of statistics in the field of health care. Describe
an example, other than Florence Nightingale’s contributions, where statistical
application has greatly influenced or changed health care operations or
practice.

DQ2 Discuss
why it is important for a person working in health care to understand
statistical concepts. Provide an example of how statistical data is used in
your organization or specialty area today and what you are expected to do with
this information as a practitioner.

HLT362 Applied Statistics for Health Care Professionals

Week 2 Discussion

DQ1 Select
a research article, other than the articles from your assignments, from the GCU
library. Provide an overview of the study and describe the strategy that was
used to select the sample from the population. Evaluate the effectiveness of
the sampling method selected. Provide support for your answer. Include the
article title and permalink in your post.

DQ2 Using
the research article selected for DQ 1, identify three key questions you will
ask and answer when reading the research study and why these questions are
important. When responding to peers, provide other questions and answers that
could be considered in relation to the peers’ studies.

HLT362 Applied Statistics for Health Care Professionals

Week 3 Discussion

DQ1 Provide
two different examples of how research uses hypothesis testing, and describe
the criteria for rejecting the null hypothesis. Discuss why this is important
in your practice and with patient interactions.

DQ2 Evaluate
and provide examples of how hypothesis testing and confidence intervals are
used together in health care research. Provide a workplace example that
illustrates your ideas.

HLT362 Applied Statistics for Health Care Professionals

Week 4 Discussion

DQ1 Provide
an example of experimental, quasi-experimental, and nonexperimental research
from the GCU Library and explain how each research type differs from the
others. When replying to peers, evaluate the effectiveness of the research
design of the study for two of the examples provided.

DQ2 Describe
the difference between research and quality improvement. Provide a workplace
example where qualitative and quantitative research is applied and how it was
used within your organization. When replying to peers, discuss how these
research findings might be incorporated into another health care setting.

HLT362 Applied Statistics for Health Care Professionals

Week 5 Discussion

DQ1 Describe
how epidemiological data influences changes in health practices. Provide an
example and explain what data would be necessary to make a change in practice.

DQ2 Discuss
ways your organization uses technology to gather patient and health care information,
and how this information and data are used to direct patient care and outcomes.

HLT362 Applied Statistics for Health Care Professionals

Week 1 Assignment

Application
of Statistics in Health Care

Statistical
application and the interpretation of data is important in health care. Review
the statistical concepts covered in this topic. In a 750-1,000 word paper,
discuss the significance of statistical application in health care. Include the
following:

Describe
the application of statistics in health care. Specifically discuss its
significance to quality, safety, health promotion, and leadership.

Consider
your organization or specialty area and how you utilize statistical knowledge.
Discuss how you obtain statistical data, how statistical knowledge is used in
day-to-day operations and how you apply it or use it in decision making.

Three
peer-reviewed, scholarly or professional references are required.

Prepare
this assignment according to the guidelines found in the APA Style Guide,
located in the Student Success Center. An abstract is not required.

This
assignment uses a rubric. Please review the rubric prior to beginning the
assignment to become familiar with the expectations for successful completion.

You are
required to submit this assignment to LopesWrite. Refer to the LopesWrite
Technical Support articles for assistance.

HLT362 Applied Statistics for Health Care Professionals

Week 2 Assignment

Article
Analysis 1

The
interpretation of research in health care is essential to decision making. By
understanding research, health care providers can identify risk factors,
trends, outcomes for treatment, health care costs and best practices. To be
effective in evaluating and interpreting research, the reader must first
understand how to interpret the findings. You will practice article analysis in
Topics 2, 3, and 5.

For this
assignment:

Search the
GCU Library and find three different health care articles that use quantitative
research. Do not use articles that appear in the Topic Materials or textbook.
Complete an article analysis for each using the “Article Analysis 1”
template.

Refer to
the “Patient Preference and Satisfaction in Hospital-at-Home and Usual
Hospital Care for COPD Exacerbations: Results of a Randomised Controlled
Trial,” in conjunction with the “Article Analysis Example 1,”
for an example of an article analysis.

While APA
style is not required for the body of this assignment, solid academic writing
is expected, and documentation of sources should be presented using APA
formatting guidelines, which can be found in the APA Style Guide, located in
the Student Success Center.

This
assignment uses a rubric. Please review the rubric prior to beginning the
assignment to become familiar with the expectations for successful completion.

You are
required to submit this assignment to LopesWrite. Refer to the LopesWrite
Technical Support articles for assistance.

HLT362 Applied Statistics for Health Care Professionals

Week 3 Assignment

Article
Analysis 2

Search the
GCU Library and find two new health care articles that use quantitative
research. Do not use articles from a previous assignment, or articles that
appear in the Topic Materials or textbook.

Complete an
article analysis for each using the “Article Analysis: Part 2”
template.

Refer to
the “Patient Preference and Satisfaction in Hospital-at-Home and Usual
Hospital Care for COPD Exacerbations: Results of a Randomised Controlled
Trial,” in conjunction with the “Article Analysis Example 2,”
for an example of an article analysis.

While APA
style is not required for the body of this assignment, solid academic writing
is expected, and documentation of sources should be presented using APA
formatting guidelines, which can be found in the APA Style Guide, located in
the Student Success Center.

This
assignment uses a rubric. Please review the rubric prior to beginning the
assignment to become familiar with the expectations for successful completion.

You are
required to submit this assignment to LopesWrite. Refer to the LopesWrite
Technical Support articles for assistance.

HLT362 Applied Statistics for Health Care Professionals

Week 4 Assignment

Quality
Improvement Proposal

Identify a
quality improvement opportunity in your organization or practice. In a
1,250-1,500 word paper, describe the problem or issue and propose a quality
improvement initiative based on evidence-based practice. Apply “The Road
to Evidence-Based Practice” process, illustrated in Chapter 4 of your
textbook, to create your proposal.

Include the
following:

Provide an
overview of the problem and the setting in which the problem or issue occurs.

Explain why
a quality improvement initiative is needed in this area and the expected
outcome.

Discuss how
the results of previous research demonstrate support for the quality
improvement initiative and its projected outcomes. Include a minimum of three
peer-reviewed sources published within the last 5 years, not included in the
course materials or textbook, that establish evidence in support of the quality
improvement proposed.

Discuss
steps necessary to implement the quality improvement initiative. Provide
evidence and rationale to support your answer.

Explain how
the quality improvement initiative will be evaluated to determine whether there
was improvement.

Support
your explanation by identifying the variables, hypothesis test, and statistical
test that you would need to prove that the quality improvement initiative
succeeded.

While APA
style is not required for the body of this assignment, solid academic writing
is expected, and documentation of sources should be presented using APA
formatting guidelines, which can be found in the APA Style Guide, located in
the Student Success Center.

This
assignment uses a rubric. Please review the rubric prior to beginning the
assignment to become familiar with the expectations for successful completion.

You are
required to submit this assignment to LopesWrite. Refer to the LopesWrite
Technical Support articles for assistance.

HLT362 Applied Statistics for Health Care Professionals

Week 5 Assignment

Article
Analysis and Evaluation of Research Ethics

Search the
GCU Library and find one new health care article that uses quantitative
research. Do not use an article from a previous assignment, or that appears in
the Topic Materials or textbook.

Complete an
article analysis and ethics evaluation of the research using the “Article
Analysis and Evaluation of Research Ethics” template. See Chapter 5 of
your textbook as needed, for assistance.

While APA
style is not required for the body of this assignment, solid academic writing
is expected, and documentation of sources should be presented using APA
formatting guidelines, which can be found in the APA Style Guide, located in
the Student Success Center.

This
assignment uses a rubric. Please review the rubric prior to beginning the
assignment to become familiar with the expectations for successful completion.

You are
required to submit this assignment to LopesWrite. Refer to the LopesWrite
Technical Support articles for assistance.

HLT362 Applied Statistics for Health Care Professionals

Week 5 Assignment

Summary and
Descriptive Statistics

There is
often the requirement to evaluate descriptive statistics for data within the
organization or for health care information. Every year the National Cancer
Institute collects and publishes data based on patient demographics.
Understanding differences between the groups based upon the collected data
often informs health care professionals towards research, treatment options, or
patient education.

Using the
data on the “National Cancer Institute Data” Excel spreadsheet,
calculate the descriptive statistics indicated below for each of the
Race/Ethnicity groups. Refer to your textbook and the Topic Materials, as
needed, for assistance in with creating Excel formulas.

Provide the
following descriptive statistics:

Measures of
Central Tendency: Mean, Median, and Mode

Measures of
Variation: Variance, Standard Deviation, and Range (a formula is not needed for
Range).

Once the
data is calculated, provide a 150-250 word analysis of the descriptive
statistics on the spreadsheet. This should include differences and health
outcomes between groups.

APA style
is not required, but solid academic writing is expected.

This assignment
uses a rubric. Please review the rubric prior to beginning the assignment to
become familiar with the expectations for successful completion.

You are not
required to submit this assignment to LopesWrite.

HLT362 Applied Statistics for Health Care Professionals

Week 1 Quiz

• When a researcher uses a random
sample of 400 to make conclusions about a larger population, this is an example
of:

•Descriptive
statistics

•Demographics

•Inferential
statistics

•Dependent
variables

• If a study is comparing number of
falls by age, age is considered what type of variable?

•Interval

•Ordinal

•Ratio

•Nominal

• Validity is:

•A data
item, such as characteristics, numbers, properties, or quantities, that can be
measured or counted.

•The extent
to which an idea or measurement is well-founded and an accurate representation
of the real world.

•A
measurement level with equal distances between the points and a zero-starting
point.

•Raw
unorganized information from which conclusions can be made.

• Data is defined as:

•A data
item, such as characteristics, numbers, properties, or quantities, that can be
measured or counted.

•The extent
to which an idea or measurement is well-founded and an accurate representation
of the real world.

•A
measurement level with equal distances between the points and a zero-starting
point.

•Raw
unorganized information from which conclusions can be made.

• The average of the collected data
is known as:

•Mean

•Median

•Variance

•Range

• The experimental or predictor
variable is an example of:

•Extraneous
variable

•Dependent
variable

•Independent
variable

•Nominal
data

• Level of measurement that defines
the relationship between things and assigns an order or ranking to each thing
is known as:

•Interval

•Ordinal

•Ratio

•Nominal

• A variable is considered:

•A data
item, such as characteristics, numbers, properties, or quantities, that can be
measured or counted.

•A
component of mathematics that looks at gathered data.

•Statistics
designed to allow the researcher to infer characteristics regarding a population
from sample population.

•External
and internal influences within a study that can affect the validity and
reliability of the outcomes.

• External and internal influences
within a study that can affect the validity and reliability of outcomes is
called:

•Continuous
variables

•Demographics

•Bias

•Standard
deviation

• The subset of the population to be
studied is called:

•Sample

•Variable

•Population

•Demographic

HLT362 Applied Statistics for Health Care Professionals

Week 3 Quiz

• To obtain a sample of 20 patients
in ICU, clinician goes to the ICU and selects the current patients. This is an
example of a:

•Judgement
sampling

•Simple
random sampling

•Snowball
sampling

•Convenience
sampling

• A Type I error is committed when
_____.

•We reject a
null hypothesis that is true.

•We do not
reject a null hypothesis that is true.

•We reject
a null hypothesis that is false.

•We do not
reject a null hypothesis that is false.

• Which of the following would be an
appropriate null hypothesis?

•The mean
of a sample is equal to 65.

•The mean
of a population is greater than 65.

•The mean of
a population is equal to 65.

•The mean
of the sample is greater than 65.

• Quantitative research strives for
quality and the ability to apply the analysis to a broader population. This is
referred to as _____.

•Validity

•Normality

•Generalization

•Reliability

• Scenario Based Question: If you
were conducting a study of blood pressure readings in a hospital unit, compared
AM and PM readings, and assumed the data were normally distributed and
variances were equal, what type of statistical test would be conducted?

•Separate
variance t-test

•Paired
t-test

•Pooled
variance t-test

•F-test

• Which of the following can be
reduced by proper interviewer training?

•Neither
sampling error nor measurement error

•Sampling
error

•Both sampling
error and measurement error

•Measurement
error

• A Type II error is committed when
_____.

•We reject a
null hypothesis that is true.

•We do not
reject a null hypothesis that is false.

•We do not
reject a null hypothesis that is true.

•We reject
a null hypothesis that is false.

• If a researcher does not select the
appropriate level of significance (alpha) based upon prior research or industry
standard and concludes that the study found a statistical difference when in
fact there was no difference, this is referred to as _____.

•Validity

•Reliability

•Type I
error

•Type II
error

• If you are conducting a study on
the impacts of diet and exercise on high blood pressure and you take a
proportional sample based upon race/ethnicity, this would be an example of
_____.

•Simple
random sample

•Cluster
sampling

•Stratified
sampling

•Convenience
sampling

• In a research study, if the sample
size is too low and the results do not find a statistical difference when in
fact there is a difference, this is referred to as _____.

•Validity

•Reliability

•Type I error

•Type II
error

GCU HLT362 Full Course: Statistics for Health Care Professionals. GCU HLT362 Full Course: Statistics for Health Care Professionals. GCU HLT362 Full Course: Statistics for Health Care Professionals