HLT 362 Article Analysis

This article covers HLT 362 Article Analysis

Permalink: https://premiumacademicaffiliates.com/hlt-362-article-analysis

premiumacademicaffiates.com has the top and most qualified writers to help with any of your assignments. All you need to do is place an order with us.

HLT 362 Article Analysis
HLT 362 Article Analysis 4

HLT 362 Article Analysis 1

HLT 362 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. HLT 362 Article Analysis 1

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 “ArticleHLT 362 Article Analysis 1 EssaysEssays” width=”300″ height=”138″ srcset=”https://www.onlinenursingessays.com/wp-content/uploads/2020/05/HLT-362-Article-Analysis-1-Essays-300×138.png 300w, https://www.onlinenursingessays.com/wp-content/uploads/2020/05/HLT-362-Article-Analysis-1-Essays-1024×472.png 1024w, https://www.onlinenursingessays.com/wp-content/uploads/2020/05/HLT-362-Article-Analysis-1-Essays-768×354.png 768w, https://www.onlinenursingessays.com/wp-content/uploads/2020/05/HLT-362-Article-Analysis-1-Essays-1536×708.png 1536w, https://www.onlinenursingessays.com/wp-content/uploads/2020/05/HLT-362-Article-Analysis-1-Essays.png 1793w”>

HLT 362 Article Analysis 1 Essays

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. HLT 362 Article Analysis 1

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.

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

Article Analysis: Example 1

Article Citation Utens, C. M. A., Goossens, L. M. A., van Schayck, O. C. P., Rutten-van Mölken, M. P. M. H., van Litsenburg, W., Janssen, A., … Smeenk, F. W. J. M. (2013). Patient preference and satisfaction in hospital-at-home and usual hospital care for COPD exacerbations: Results of a randomised controlled trial. International Journal of Nursing Studies, 50, 1537–1549. doi.org/10.1016/j.ijnurstu.2013.03.006
Link: https://www.ncbi.nlm.nih.gov/pubmed/23582671
(Include permalink for articles from GCU Library.) HLT 362 Article Analysis 1

Category Description
Broad Topic Area/Title The differences in preference and satisfaction based upon hospital care location for COPD exacerbations
Variables and Type of Data for the Variables
Treatment Location-categorical -“home treatment” and “hospital treatment”
Satisfaction – Ordinal Scale (1-5)
Preference – categorical “home treatment” and “hospital treatment”

Population of Interest for the Study COPD exacerbation patients from five hospitals and three home care organizations
Sample

139 patients
69 from the usual hospital care group
70 from the early assisted discharge care group
Sampling Method A randomized sampling method was used to select the patients who met the criteria for the study (p. 1540)
Descriptive Statistics (mean, median, mode; standard deviation)
Identify examples of descriptive statistics in the article. Example descriptive statistics:
Usual hospital Age:
Mean: 67.8 Standard deviation: 11.30

Early assisted discharge Age:
Mean: 68.31 Standard deviation: 10.34 (p. 1540)

Inferential Statistics
Identify examples of inferential statistics in the article. Example of inferential statistics:
Overall satisfaction score: Tested difference between HC and EAD p-value .863 (p. 1543)

HLT 362V Topic 1 Discussion 1

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.

HLT362V Topic 1 Discussion 2

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.

Description

HLT 362V Week 3 Assignment, Article Analysis 2 (Three Papers)

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.


HLT 362V Topic 2 Discussion 1

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.

HLT362V Topic 2 Discussion 2

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.


HLT362V Topic 3 Discussion 1

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.

HLT362V Topic 3 Discussion 2

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


HLT362V Topic 4 Discussion 1

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.

HLT362V Topic 4 Discussion 2

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


HLT362V Topic 5 Discussion 1

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.

HLT362V Topic 5 Discussion 2

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

Course Code         Class Code           Assignment Title  Total Points

HLT-362V              HLT-362V-OL191   Article Analysis 1 120.0

Criteria  Percentage           1: Unsatisfactory (0.00%)   2: Less Than Satisfactory (65.00%)              3: Satisfactory (75.00%)     4: Good (85.00%)  5: Excellent (100.00%)

Content 100.0%

Three Quantitative Articles              10.0%     Fewer than three articles are presented. None of the articles presented use quantitative research.        N/A        Three articles are presented. Of the articles presented, only two articles are based on quantitative research.              N/A        Three articles are presented. All three articles are based on quantitative research.

Article Citation and Permalinka 2    10.0%     Article citation and permalink are omitted. Article citation and permalink are presented. There are significant errors. Page numbers are not indicated to cite information, or the page numbers are incorrect.             Article citation and permalink are presented. Article citation is presented in APA format, but there are errors. Page numbers to cite information are missing, or incorrect, in some areas.             Article citation and permalink are presented. Article citation is presented in APA format. Page numbers are used to cite information. There are minor errors.             Article citation and permalink are presented. Article citation is accurately presented in APA format. Page numbers are accurate and used in all areas when citing information. HLT 362 Article Analysis 1

Broad Topic Area/Title      10.0%     Broad topic area and title are omitted.         Broad topic area and title are referenced but are incomplete.           Broad topic area and title are summarized. There are some minor inaccuracies.       Broad topic area and title are presented. There are some minor errors, but the content overall is accurate.              Broad topic area and title are fully presented and accurate.

Independent and Dependent Variables and Type of Data for Variables    10.0%              Variable types and data for variables are omitted.     Variable types and data for variables are presented. There are major inaccuracies or omissions.              Variable types and data for variables are presented. There are inaccuracies.              Variable types and data for variables are presented. Minor detail is needed for accuracy.             Variable types and data for variables are presented and accurate.

Population of Interest for the Study 10.0%     Population of interest for the study is omitted. Population of interest for the study is presented. There are major inaccuracies or omissions. Population of interest for the study is presented. There are inaccuracies.        Population of interest for the study is presented. Minor detail is needed for accuracy.         Population of interest for the study is presented and accurate.

Sample   10.0%     Sample is omitted.             Sample is presented. There are major inaccuracies or omissions. Sample is presented. There are inaccuracies.              Sample is presented. Minor detail is needed for accuracy.      Sample is presented and accurate.

Sampling Method 10.0%     Sampling method is omitted.           Sampling is presented. There are major inaccuracies or omissions.   Sampling is presented. There are inaccuracies.        Sampling is presented. Minor detail is needed for accuracy.              Sampling method is presented and accurate.

Descriptive Statistics (mean, median, mode; standard deviation) (Identify examples of descriptive statistics in the article.)              10.0%     Descriptive statistic examples from the article are omitted. There are major inaccuracies or omissions.            N/A              Descriptive statistic examples from the article are presented. There are some very minor inaccuracies or omissions.            N/A        Descriptive statistic examples from the article are presented and accurate.

Inferential Statistics (Identify examples of inferential statistics in the article.)   10.0%              Inferential statistic examples from the article are omitted. There are major inaccuracies or omissions. N/A        Inferential statistic examples from the article are presented. There are some very minor inaccuracies or omissions.          N/A              Inferential statistic examples from the article are presented and accurate.Re: Topic 2 DQ 1
Singh, K., & Sharma. N. (2020). Clinical and laboratory parameters correlation with complications and mortality in community acquired pneumonia in a tertiary care hospital. Journal of Clinical & Diagnostic Research14(4), 26–30. https://eds-b-ebscohost-com.lopes.idm.oclc.org/eds/pdfviewer/pdfviewer?vid=2&sid=0ad11621-0b1e-4976-8ab2-cdfeebae788c%40pdc-v-sessmgr06Link-https://eds-b-ebscohost-com.lopes.idm.oclc.org/eds/pdfviewer/pdfviewer?vid=1&sid=06f49b2a-d845-41d4-ae3d-74d9de4f8b8f%40pdc-v-sessmgr06(please copy and paste the url in GCU library to view the article)Singh and Sharma (2020) conducted a prospective study to find out the clinical and biochemical profile of patients admitted with the diagnosis of community acquired pneumonia (CAP) and to see the association with various complication and outcomes. This study analyzed the various clinical and laboratory parameters and correlated with different outcomes in patients with CAP. This was a prospective, observational hospital study held at the emergency and medicine ward at a tertiary hospital in India, between 2018 to 2019. The inclusion criteria for the study was patients over the age of 18 years with clinical signs and symptoms suggestive of pneumonia which was confirmed with radiological evidence of infiltrates consistent with consolidation. The sample size was 130 and the age of the participants ranged from 18-90 years.The researchers found that early diagnosis, prompt severity scoring, early sepsis management and monitoring could reduce mortality in CAP (Singh & Sharma, 2020). Managing comorbid conditions such as diabetes, chronic obstructive pulmonary disease, hypertension, and others need to be managed precisely to prevent adverse outcomes due to CAP.The researchers calculated the sample size on the on the basis of 95% confidence level and 10% anticipated difference between detection rate of pneumonia, which is an appropriate way to calculate the sample size (Rayan, 2018). Though the sample size calculated was 116, a total of 130 were included to adjust dropouts during the study (Singh & Sharma, 2020).Rayan, C. (2018). Population and sampling distribution. Grand Canyon University. Retrieved from https://lc.gcumedia.com/hlt362v/applied-statistics-for-health-care/v1.1/#/chapter/2

HLT 362V Week 1 Assignment: Mean, Variance and Standard Deviation Excel Worksheet

Please type your answer in the cell beside the question.

  1. Identify the sampling technique being used. Every 20th patient that comes into the emergency room is given a satisfaction survey upon their discharge: a. random sampling b. cluster sampling c. systematic sampling d. stratified sampling e. none of the above
  2. The formula for finding the sample mean is ______________.
  3. The formula for finding sample standard deviation is ________________.
  4. The computation form for sample variance is ___________________.
  5. The ……….. heart rate for 10 randomly selected patients on the unit. Find the mean, variance, and standard deviation of the data using the descriptive statistics option in the data analysis toolpak.

As you continue, premiumacademicaffiates.com has the top and most qualified writers to help with any of your assignments. All you need to do is place an order with us. (HLT 362 Article Analysis)

HLT 362 Article Analysis
HLT 362 Article Analysis
HLT362V Week 1 Workbook Exercises:
Exercise 6
  1. What are the frequency and percentage of the COPD patients in the severe airflow limitation group who are employed in the Eckerblad et al. (2014) study?
  2. What percentage of the total sample is retired? … percentage of the total sample is on sick leave?
  3. What is the total sample size of this study? What frequency and percentage of the total sample were still employed? Show your calculations and round your answer to the nearest whole percent.
  4. What is the total percentage of the sample with a smoking history—either still smoking or former smokers? Is the smoking history for study participants clinically important? Provide a rationale for your answer.
  5. What are pack years of smoking? Is there a signifi cant difference between the moderate and severe airfl ow limitation groups regarding pack years of smoking? Provide a rationale for your answer.
  6. What were the four most common psychological symptoms reported by this sample of patients with COPD? What percentage of these subjects experienced these symptoms? Was there a sig-nifi cant difference between the moderate and severe airfl ow limitation groups for psychological symptoms?
  7. What frequency and percentage of the total sample used short-acting β 2 -agonists? Show your calculations and round to the nearest whole percent.
  8. Is there a significant difference between the moderate and severe airfl ow limitation groups regarding the use of short-acting β 2 -agonists? Provide a rationale for your answer.
  9. Was the percentage of COPD patients with moderate and severe airfl ow limitation using short-acting β 2 -agonists what you expected? Provide a rationale with documentation for your answer.
  10. Are these findings ready for use in practice?
Exercise 8
  1. The number of nursing students enrolled in a particular nursing program between the years of 2010 and 2016, respectively, were 563, 593, 606, 520, 563, 610, and 577. Determine the mean ( X ), median ( MD ), and mode of the number of the nursing students enrolled in this program. Show your calculations.
  2. What is the mode for the variable inpatient complications in Table 2 of the Winkler et al. (2014) study? What percentage of the study participants had this complication?
  3. Does the distribution of inpatient complications have a single mode, or is this distribution bimodal or multimodal? Provide a rationale for your answer.
  4. 4. As reported in Table 1 , what are the three most common cardiovascular medical history events in this study, and why is it clinically important to know the frequency of these events?
  5. What are the mean and median lengths of stay (LOS) for the study participants?
  6. Are the mean and median for LOS similar or different? What might this indicate about the distribution of the sample? Provide a rationale for your answer.
  7. Examine the study results and determine the mode for arrhythmias experienced by the partici-pants. What was the second most common arrhythmia in this sample?
  8. Was the most common arrhythmia in Question 7 related to LOS? Was this result statistically signifi cant? Provide a rationale for your answer.
  9. What study variables were independently predictive of the 50 premature ventricular contractions (PVCs) per hour in this study?
  10. In Table 1 , what race is the mode for this sample? Should these study fi ndings be generalized to American Indians with ACS?
Exercise 9
  1. What were the name and type of measurement method used to measure Caring Practices in the Roch, Dubois, and Clarke (2014) study?
  2. The data collected with the scale identified in Questions 1 were at what level of measurement? Provide a rationale for your answer.
  3. What were the subscales included in the CNPISS used to measure RNs ’ perceptions of their Caring Practices? Do these subscales seem relevant? Document your answer.
  4. Which subscale for Caring Practices had the lowest mean? … does this result indicate?
  5. What were the dispersion results for the Relational Care subscale of the Caring Practices in Table 2 ? What do these results indicate?
  6. Which subscale of Caring Practices has the lowest dispersion or variation of scores? Provide a rationale for your answer.
  7. Which subscale of Caring Practices had the highest mean? … do these results indicate?
  8. Compare the Overall rating for Organizational Climate with the Overall rating of Caring Practices. What do these results indicate?
  9. The response rate for the survey in this study was 45%. Is this a study strength or limitation? Provide a rationale for your answer.
  10. What conclusions did the researchers make regarding the caring practices of the nurses in this study? How might these results affect your practice?
Exercise 11
  1. What demographic variables were measured at least at the interval level of measurement?
  2. What statistics were used to describe the length of labor in this study? Were these appropriate?
  3. What other statistic could have been used to describe the length of labor? Provide a rationale for your answer.
  4. Were the distributions of scores similar for the experimental and control groups for the length of labor? Provide a rationale for your answer.
  5. Were the experimental and control groups similar in their type of feeding? Provide a rationale for your answer.
  6. What was the marital status mode for the subjects in the experimental and control groups? Provide both the frequency and percentage for the marital status mode for both groups.
  7. …………… determined for the education data? If so, what would the median be for education for the experimental and the control groups? Provide a rationale for your answer.
  8. …………… to Black women? Provide a rationale for your answer.
  9. If there were 32 subjects in the experimental group and 36 subjects in the control group, why is the income data only reported for 30 subjects in the experimental group and 34 subjects in the control group?
  10. …….. sample for this study adequately described? Provide a rationale for your answer.
Exercise 16
  1. The researchers analyzed the data they collected as though it were at what level of measurement? 1. Nominal 2. Ordinal 3. Interval/ratio 4. Experimental
  2. What was the mean posttest empowerment score for the control group?
  3. Compare the mean baseline and posttest depression scores of the experimental group. ………. Provide a rationale for your answer.
  4. Compare the mean baseline and posttest depression scores of the control group. Do these scores strengthen or weaken the validity of the research results? Provide a rationale for your answer.
  5. Which group’s test scores had the least amount of variability or dispersion? Provide a rationale for your answer.
  6. Did the empowerment variable or self-care self-efficacy variable demonstrate the greatest amount of dispersion? Provide a rationale for your answer.
  7. The mean (X ̅) is a measure of a distribution while the SD is a measure of its scores. Both X ̅ and SD are statistics.
  8. What was the mean severity for renal disease for the research subjects? What was the dispersion or variability of the renal disease severity scores? Did the severity scores vary significantly between the control and the experimental groups? Is this important? Provide a rationale for your answer.
  9. Which variable was …………. ? Provide a rationale for your answer.
  10. Was it important for the researchers to include the total means and SDs for the study variables in Table 2 to promote the readers’ understanding of the study results? Provide a rationale for your answer.
Exercise 27
  1. What is the mean age of the sample data?
  2. … percentage of patients never used tobacco?
  3. What is the standard deviation for age?
  4. Are there outliers among the values of age? Provide a rationale for your answer.
  5. What is the range of age values?
  6. … percentage of patients were taking infl iximab?
  7. What percentage of patients had rheumatoid arthritis as their primary diagnosis?
  8. What percentage of patients had irritable bowel syndrome as their primary diagnosis?
  9. … is the 95% CI for age?
  10. What percentage of patients had psoriatic arthritis as their primary diagnosis?

As you continue, premiumacademicaffiates.com has the top and most qualified writers to help with any of your assignments. All you need to do is place an order with us. (HLT 362 Article Analysis)

HLT 362 Article Analysis
HLT 362 Article Analysis

HLT362 Week 3 Quiz.docx practice exam questions with answers 2021 solution

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: ok

Simple random sample

Cluster sampling

Stratified sampling

Convenience sampling

• 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: ok

Validity

Reliability

Type I error

Type II error

• 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: ok

Judgement sampling

Simple random sampling

Snowball sampling

Read More:

https://premiumacademicaffiliates.com/technology-in-nursing-annotated-bibliography/

Need Someone to Write Your paper ✍️
We can Help

Scroll to Top