Week 6 Discussion: Confidence Intervals
Read/review the following resources for this activity:
Textbook: Chapter 8
Lesson
Minimum of 1 scholarly source
In your reference for this assignment, be sure to
...
Week 6 Discussion: Confidence Intervals
Read/review the following resources for this activity:
Textbook: Chapter 8
Lesson
Minimum of 1 scholarly source
In your reference for this assignment, be sure to include both your text/class materials
AND your outside reading(s).
Confidence Intervals
In everyday terms, a confidence interval is the range of values around a sample statistic
(such as mean or proportion) within which clinicians can expect to get the same results
if they repeat the study protocol or intervention, including measuring the same
outcomes the same ways. As you ask yourself, "Will I get the same results if I use this
research?", you must address the precision of study findings, which is determined by
the Confidence Interval. If the CI around the sample statistic is narrow, you can be
confident you will get close to the same results if you implement the same research in
your practice.
Consider the following example. Suppose that you did a systematic review of studies on
the effect of tai chi exercise on sleep quality, and you found that tai chi affected sleep
quality in older people. If, according to your study, you found the lower boundary of the
CI to be .49, the study statistic to be 0.87, and the upper boundary to be 1.25, this
would mean that each end limit is 0.38 from the sample statistic, which is a relatively
narrow CI.
(UB + LB)/2 = Statistic [(1.25 + .49)/2 = .87]
Keep in mind that a mean difference of 0 indicates there is no difference; this CI does
not contain 0. Therefore, the sample statistic is statistically significant and unlikely to
occur by chance.
Because this was a systematic review, and tai chi exercise has been established from
the studies you assessed as helping people sleep, based on the sample statistics and
the CI, clinicians could now use your study and confidently include tai chi exercises
among possible recommendations for patients who have difficulty sleeping.
Now you can apply your knowledge of CIs to create your own studies and make wise
decisions about whether to base your patient care on a particular research finding.
Initial Post Instructions
Thinking of the many variables tracked by hospitals and doctors' offices, confidence
intervals could be created for population parameters (such as means or proportions)
that were calculated from many of them. Choose a topic of study that is tracked (or thatThis study source was downloaded by 100000838987296 from CourseHero.com on 01-29-2023 10:39:57 GMT -06:00
https://www.coursehero.com/file/59325057/Week-6-Discussion-Confidence-Intervalsdocx/
you would like to see tracked) from your place of work. Discuss the variable and
parameter (mean or proportion) you chose, and explain why you would use these to
create an interval that captures the true value of the parameter of patients with 95%
confidence.
Consider the following:
How would changing the confidence interval to 90% or 99% affect the study? Which of
these values (90%, 95%, or 99%) would best suit the confidence level according to the
type of study chosen? How might the study findings be presented to those in charge in
an attempt to affect change at the workplace?
Dr. Francis and Class,
Week 6 Discussion
Since I have become a nurse I have personally felt the intense low back pain that once use to be
just a one-sided conversation. Low back pain (LBP) is a significant health concern worldwide.
Although pharmacological therapies have been shown to be successful in reducing pain, each
one carries a risk. My study consist of non-pharm approuch to reducing pain. Becuase of time
and cost I rescheaded the effects of pain and nonpharmacological intervention, such as music,
breathing, acupuncture and massage to name a few. I work in surgery and we play music for
patients. In the article Medical statistics: Hypothesis tests and Estimation, discussed the
relative effectiveness of acupuncture and massage as treatments for chronic low back pain in
patients presenting to primary care. The study showed the disparirty in pain ratings between the
two groups.
As we have been learning these pass weeks, it is not possible to be 100% sure of the range
within which the population estimate will fall, so a degree of trust is added to the set of values.
The 95% confidence interval for the mean difference in pain scores of 8.1 is (1.2,15.0). 90%
confidence interval (2.3,13.9) which is narrower. 99% confidence interval (-1.0,17.2) is wider
than the 95% CI. Not having a value 0 between two of the ranges will not have a significant
differenc in mean pain scores. Thus, by widening the range of values this increas the uncertainty
and the interval now includes 0 therefore it is possible, this confidence level, now has no
difference in mean pain score between the two groups.
As we learned in Week 6 lesson, it states confidence intervals in medicine include a range within
which test results or measurements may be predicted (chamberlian, 2020). Although
pharmacological therapies have been shown to be successful in reducing pain, each one carries a
risk of potenictially severe side effects, this study was able to show that nonpharmacological
intervention has been effective.
Penelope
Work Cited:
Holmes, A., Illowsky, B., & Dean, S. (2017). Introductory business statistics.
OpenStax. https://openstax.org/details/books/introductory-business-statisticsThis study source was downloaded by 100000838987296 from CourseHero.com on 01-29-2023 10:39:57 GMT -06:00
https://www.coursehero.com/file/59325057/Week-6-Discussion-Confidence-Intervalsdocx/
Thomas
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