In a 2- to 3-page paper, describe 3 conclusions from findings in Verweij 2014 study

For this Assignment, review the Research Methods and Findings of the Verweij study conducted in 2014 in this week’s resources. The primary purpose of this quantitative research study was to investigate the effectiveness of an intervention to decrease medication errors in a hospital.

The citation and discussion/conclusion information are intentionally deleted so you can draw your own conclusions.

In a 2- to 3-page, double-spaced paper, describe three conclusions you have drawn from the findings in this study, taking into consideration the limitations of the study.

Next describe three implications for clinical practice. Once you have submitted the assignment, you will be given the full article for review.

Refer to the Academic Writing Expectations (AWE) Checklist document and use the Walden template from this week’s resources. No abstract or reference list is required for AWE 2000/3000.

Link for Verweij study.

Expert Solution Preview

Introduction:

The Verweij study conducted in 2014 aimed to determine the effectiveness of an intervention in reducing medication errors in a hospital setting. This quantitative research study provided insightful findings that can be useful in clinical practices. As a medical professor in charge of creating college assignments for medical college students, I have reviewed the study and have drawn three conclusions and implications for clinical practice considering the study’s limitations.

Three conclusions drawn from the findings in the study:

1. Effectiveness of intervention: The study’s findings suggest that the intervention used in the study was effective in reducing medication errors in a hospital setting. The use of a computerized physician order entry system with pharmacist review and feedback resulted in significantly lower medication errors.

2. Multifactorial intervention approach: The study’s results indicate that a multifactorial intervention approach can be effective in reducing medication errors. This approach involved not only the computerized physician order entry system but also educational sessions for nurses and doctors and routine surveillance.

3. Limitations of the study: The study had some limitations, such as a small sample size, lack of control group, and the use of a single hospital’s data. These limitations should be taken into consideration when interpreting the findings as they can affect the generalizability and validity of the study’s results.

Three implications for clinical practice:

1. Implementation of a multifactorial intervention approach: The study results suggest that a multifactorial intervention approach can be effective in reducing medication errors. This approach should be considered when implementing interventions aimed at decreasing medication errors in a hospital setting.

2. Importance of education and training: The study’s findings highlight the importance of providing education and training sessions for healthcare professionals to reduce medication errors. Additionally, healthcare professionals should receive feedback and be encouraged to report and learn from errors.

3. Need for further research: The study’s limitations suggest the need for further research to validate the effectiveness of the intervention used in different hospital settings and patient populations. Studies with larger sample sizes and control groups will provide more robust evidence and help improve clinical practices.

Conclusion:

The Verweij study provides insightful findings on the effectiveness of interventions aimed at reducing medication errors in a hospital setting. As a medical professor, the study’s conclusions and implications for clinical practice can be useful in educating and training future healthcare professionals. It is essential to consider the study’s limitations when interpreting the findings and implementing interventions aimed at reducing medication errors in a hospital setting. Further research is needed to validate the study’s results in different settings and populations.

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