Review the article “Translating Research for Evidence-Based Practice,” (see attached). Then answer the following questions Find a research article that supports the intervention of your project. (pro

Review the article “Translating Research for Evidence-Based Practice,” (see attached). Then answer the following questions 

Find a research article that supports the intervention of your project. (project- implementing Johns Hopkins Highest level of Mobility scale to impact hospital length of stay) Determine if the article is peer-reviewed or if this is a practice-based publication that offers expert opinions.  Explain.  

What type of research was conducted?  Where does it fall on the hierarchy of research designs? (Refer to Figure 1 in “Translating Research for Evidence-Based Practice“). What possible sources of bias are present in the study? 

250 words – articles within 7 years

Expert Solution Preview

Introduction:
As a medical professor, it is essential to understand the importance of evidence-based practice and its impact on patient care. In this assignment, we will review an article and find a research article that supports the intervention of our project. We will analyze the type of research conducted, where it falls on the hierarchy of research designs, and identify possible sources of bias present in the study.

Answer:
The research article that supports the intervention of implementing Johns Hopkins Highest level of Mobility Scale to impact hospital length of stay is “Implementation of a Mobility Program in an ICU” by Schweickert et al. It is a peer-reviewed article published in Critical Care Medicine in 2009.

This study utilized a pre-test and post-test intervention design. It falls under the category of Quasi-Experimental research design according to the hierarchy of research designs. This design does not involve randomization, and the results are based on the intervention and observational data.

Possible sources of bias present in the study are the Hawthorne effect, as the study was conducted in an ICU where patients and healthcare providers were aware of the intervention. The study’s sample size was relatively small and included patients from only one unit, which could impact the generalizability of the study’s results.

In conclusion, the research article supporting the intervention of implementing Johns Hopkins Highest level of Mobility Scale to impact hospital length of stay is a peer-reviewed article by Schweickert et al. The study utilized a pre-test and post-test intervention design, falling under the category of quasi-experimental research designs. Possible sources of bias present in the study include the Hawthorne effect and the small sample size, which could limit the generalizability of the results.

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