HLT 362 Article Analysis from GCU Library

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HLT 362 Article Analysis from GCU Library

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.

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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 for assistance

HLT 362 Article Analysis from GCU Library

Article Analysis: Example 2

Article Citation

and Permalink

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.)

Point

Description

Broad Topic Area/Title

The differences in preference and satisfaction based upon hospital care location for COPD exacerbations.

Define Hypotheses

Hypothesis not stated. Below is an example from the study:

H0: There is no difference in satisfaction levels based upon treatment location.

H1: There is a difference in satisfaction levels based upon treatment locations.

Define Variables and Types of Data for 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

Mixed methods; quantitative was randomized sampling

How Were Data Collected?

A questionnaire with both open-ended questions and questions with a scale of 1-5 (p. 1539)

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2

HLT362 Week 3 Q Grand Canyon University passed exam questions with all correct answers 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 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 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 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 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. 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 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 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. 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.

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