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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.

Solution

Article Analysis Sample

Article Citation and Permalink (APA format)

Article 1

Shen, Y., & Lee, L. H. (2018). Improving the wait time to consultation at the emergency department. BMJ open quality, 7(1), e000131. https://doi.org/10.1136/bmjoq-2017-000131

Article 2

Gardner, R. M., Friedman, N. A., Carlson, M., Bradham, T. S., & Barrett, T. W. (2018). Impact of revised triage to improve throughput in an ED with limited traditional fast track population. The American journal of emergency medicine36(1), 124.

Article 3

Yuzeng, S., & Hui, L. L. (2020). Improving the wait time to triage at the emergency department. BMJ open quality, 9(1), e000708. https://doi.org/10.1136/bmjoq-2019-000708

 

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Point

Description

Description

Description

Broad Topic Area/Title

Improving the effectiveness of the Emergency Department

Improving throughput in an ED environment

Improving the effectiveness of the Emergency Department

Identify Independent and Dependent Variables and Type of Data for the Variables

Dependent variables were the wait times during the duration of implementing various interventions. The independent variables were the patient load, rostered manpower and number of ED admissions.  The dependent variables were measured in minutes and independent variables in numbers.

The dependent variables were throughput measures including: time to provider, ED length of stay (LOS), and LWBS. The independent variable included the number of patients evaluated by the NP.

The dependent variable is the use of the triage mechanism while the independent variable is the wait times registered during the study measured in minutes.

Population of Interest for the Study

ED patients and healthcare providers in the ED

ED patients and healthcare providers in the ED

ED patients and healthcare providers in the ED

Sample

32,420 P2 patient visits 

120 patients

23 000 emergency department patient visits

Sampling Method

Convenience sampling

Convenience sampling

Convenience sampling

 

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Descriptive Statistics (Mean, Median, Mode; Standard Deviation)

Identify examples of descriptive statistics in the article.

Improvement in the wait time to triage from a baseline duration of 18 min to the post implementation period duration of 13 min, with a 25% decrease in variance from 16 to 12 min

Time to provider decreased from a median (IQR) of 42 (16, 114) to 27 (12.4, 81.5) minutes (p < 0.01) and ED LOS from 290 (194.8, 405.6) to 257 (171.2, 363.4) minutes (p < 0.01) for all patients not admitted and not requiring a consult. LWBS decreased from a pre-trial 4.6% to 2.2% (p < 0.01).

The average 95th centile WTC decreased by 38 min to 124 min, from the baseline duration of 162 min. The median WTC improved to 21 min, compared with a baseline timing of 24 min.

Inferential Statistics

Identify examples of inferential statistics in the article.

Feedback from doctors and nurses within the department was uniformly positive. Commonly cited reasons included increased efficiencies, greater clarity and a transparent yet equitable workload.

The revised triage intervention was associated with improvements in several ED throughput metrics and a reduction in LWBS

We have demonstrated that root causes for prolonged triage wait times are multifactorial and require multipronged intervention.

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Article Analysis Sample
Article Analysis Sample

References

Gardner, R. M., Friedman, N. A., Carlson, M., Bradham, T. S., & Barrett, T. W. (2018). Impact of revised triage to improve throughput in an ED with limited traditional fast track population. The American journal of emergency medicine, 36(1), 124

Shen, Y., & Lee, L. H. (2018). Improving the wait time to consultation at the emergency department. BMJ open quality, 7(1), e000131. https://doi.org/10.1136/bmjoq-2017-000131

Yuzeng, S., & Hui, L. L. (2020). Improving the wait time to triage at the emergency department. BMJ open quality, 9(1), e000708. https://doi.org/10.1136/bmjoq-2019-000708

Question – Article Analysis Sample

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.

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. (Article Analysis Sample)

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.

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