Want create site? With Free visual composer you can do it easy.

NUR 590 Topic 6 Discussion Question one

NUR 590 Topic 6 Discussion Question one

Evaluation Plan

Description of the Rationale for the Methods used in Collecting the Outcome Data

The use of different methods for outcome data collection was informed by distinct reasons. For instance, the questionnaires consist of numerous vital components that were used to gauge the satisfaction rate of the entire process. The other methods such as clinical interviews, follow-ups interviews, and chart audits were used to support the patients and to identify areas for improvement. Besides, test monitoring was used to help in tracking the project development, determine the appropriateness of implementation process, and to collect data to help in future implementation endeavors.

How Outcome Measures Evaluate the Extent to which the Project Objectives are Achieved

Outcome measures evaluate the extent to which the project objectives are achieved by monitoring the level in which project implementation has influenced the health outcomes of the population in focus (Gibbons, Black, Fallowfield, Newhouse & Fitzpatrick, 2016). Through the outcome measures, it is possible to determine whether or not the project has realized its goals. Where the objectives are not realized, the measures can help in making adjustments.

How the Outcomes will be Measured and Evaluated Based on the Evidence

The outcomes will be measured and evaluated through standard data collection tools whose effectiveness has been established. However, where the tool need to be developed or realigned to the local needs of the target population, it is imperative to conduct a preliminary test before rolling it out the target population. Consequently, according to Bühn et al., (2017), the validity will be established when the data precisely measure what they are intended to measure. Consequently, the reliability will be established if the outcomes measures align with standard methods and definitions. On its side, the applicability will be established when the outcomes address the issue of heart failure among African American males.

Description of the Strategies to take if Outcomes do not Provide Positive Results

The best strategy implementation team can take when the outcomes provide negative results are to take charge, focus, and establish a centralized communication to manage the project and steer it back to the track. The project should be designed in a flexible manner that can be easily adjusted when the outcomes fail to provide positive results. Besides, there should be contingency measures in place to act as a fall back plan to the project. Besides, the implementation team should be able to identify the origin of the problem, understand the problem areas, and take measures to address the issue and strive to find ways to the right implementation path.

Description of the Implications for Practice and Future Research

The aim of this project was to determine the effectiveness of the use of community health workers to improve the control and management of heart failure among African American males. Although community health workers are important for success of this project, the cultural barriers may prove a challenge to their success.  Lack of knowledge in cultural practices by the community health workers, especially who are non-Africans, can potentially impact the project adversely (Clifford, McCalman, Bainbridge & Tsey, 2015). As such, the future studies should focus on adapting materials such as sources of information to ensure that all materials used in the program are culturally responsive to the target population.

References

Bühn, S., Mathes, T., Prengel, P., Wegewitz, U., Ostermann, T., Robens, S., & Pieper, D. (2017). The risk of bias in systematic reviews tool showed fair reliability and good construct validity. Journal of clinical epidemiology, 91, 121-128.

Clifford, A., McCalman, J., Bainbridge, R., & Tsey, K. (2015). Interventions to improve cultural competency in health care for Indigenous peoples of Australia, New Zealand, Canada and the USA: a systematic review. International Journal for Quality in Health Care, 27(2), 89-98.

Gibbons, E., Black, N., Fallowfield, L., Newhouse, R., & Fitzpatrick, R. (2016). Patient-reported outcome measures and the evaluation of services. In Challenges, solutions and future directions in the evaluation of service innovations in health care and public health. NIHR Journals Library.

Topic 6 DQ 1

Upcoming

Assessment Description

When reviewing the literature for your evaluation plan and different types of evidence for your project, what gaps in the findings did you encounter? How could these gaps influence other researchers?

Objectives:

  1. Develop an evaluation plan for the evidence-based project proposal.
  2. Identify gaps in the literature based on findings.
  3. Evaluate evidence to determine and implement the best evidence for practice.

Assessments

Collapse All

Click here to ORDER an A++ paper from our MASTERS and DOCTORATE WRITERS: NUR 590 Topic 6 Discussion Question one

NUR 590 Topic 4 DQ 1

Explain whether you would select a qualitative or quantitative design to collect data and evaluate the effectiveness of your evidence-based practice project proposal. Identify which data collection tool you would specifically use and explain why this design is best for your evidence-based practice project proposal.

My PICOT: In patients with a central line (P), does use of a central line care bundle (I), when compared to no use of a central line care bundle (C), lead to lower central line associated blood infection (CLABSI) rates (O), over the course of three months (T)?

 

Careful identification of study intentions and meaningful data collection is an essential piece in the evidence-based practice study design process. Though daunting, statistics “play a key role in health and human related research… statistical analysis assists in arriving at right conclusions which then promotes generalization or application of findings to the whole population of interest in the study,” (Rebekah & Ravindran, 2021, p 62). My PICOT intervention aims to reduce the rate of CLABSI occurrence over the course of three months. This quantitative evaluation leads me to design a quantitative evidence-based practice study that considers the numbers and rates of CLABSI occurrence and whether or not implementing a standard bundle will effectively reduce these. Additionally, statistical analysis is essential to give meaning and a story behind a great deal of numbers, with ultimate positive impact on patient popultaion outcomes (Rebekah & Ravindran, 2021). Inferential statistics allow for statistical analysis of data collected to then draw conclusions from specific interventions or scenarios.

 

My PICOT data collection does not require an intermediate or advanced statistical software. Instead, I would use an Excel document to collect information on a randomized control trial approach to patient information, whether or not the intervention of a central line care bundle was implemented or not, and if CLABSI rates were seen to be decreased compared to those without use of a central line care bundle. This would need to be done with access to patient health records in EPIC, to review documentation as well as nurse interventions actually being performed with this patient group. Using basic excel formulas, analysis is able to be performed on this somewhat simple comparison (Rebekah & Ravindran, 2021). I anticipate the largest challenge will be identifying those who will participate in the study, and if it can be done in a randomized fashion.

 

References

 

Rebekah, G. & Ravindran, V. (2021). Statistical analysis in nursing research. Indian Journal of Continuing Nursing Education, 19(1), p 62-69.

In the evidence based research project I am proposing, observing the effect that education has on physical health changes such as weight loss in order to decrease obesity rates may be best suited in a quantitative research design. This is because collecting body measurements would include physical number categorizing as well as identifying nutritional amounts in meals could be an important factor in evaluating if certain types of educational content are more effective than others (Metzgar & Nickols-Richardson, 2016). In order to collect quantitative data for the research project, the best data collection tool I believe would provide sufficient data for evidence based practice would be through survey. Surveys would be the most realistic option as my project setting would be set within the education department working with outpatient and public avenues (Lallukka, Pietilaeinen, Jaeppinen, Laaksonen, Lahti & Rahkonen, 2020). Controlled environments would cost too much resources to sustain and surveys that would include questions about changes in measurements what what type of foods being consumed within the time frame would provide data that can show direct correlation with less cost making them more efficient. However I would only distribute surveys for evaluation for those who have actively been contacted to participate in the project instead of using national surveys or general public ones.

References:

Lallukka, T., Pietilaeinen, O., Jaeppinen, S., Laaksonen, M., Lahti, J., & Rahkonen, O. (2020). Factors associated with health survey response among young employees: a register-based study using online, mailed and telephone interview data collection methods. BMC PUBLIC HEALTH, 20(1). https://doi-org.lopes.idm.oclc.org/10.1186/s12889-020-8241-8

Metzgar, C. J., & Nickols-Richardson, S. M. (2016). Effects of nutrition education on weight gain prevention: a randomized controlled trial. Nutrition Journal, 15, 1–13. https://doi-org.lopes.idm.oclc.org/10.1186/s12937-016-0150-4

Upcoming

Assessment Description

In 750-1,000 words, develop an evaluation plan to be included in your final evidence-based practice project proposal. You will use the evaluation plan in the Topic 8 assignment, during which you will synthesize the various aspects of your project into a final paper detailing your evidence-based practice project proposal.

Provide the following criteria in the evaluation, making sure it is comprehensive and concise:

  1. Discuss the expected outcomes for your evidence-based practice project proposal.
  2. Review the various data collection tools associated with your selected research design and select one data collection tool that would be effective for your research design. Explain how this tool is valid, reliable, and applicable.
  3. Select a statistical test for your project and explain why it is best suited for the tool you choose.
  4. Describe what methods you will apply to your data collection tool and how the outcomes will be measured and evaluated based on the tool you selected.
  5. Propose strategies that will be taken if outcomes do not provide positive or expected results.
  6. Describe the plans to maintain, extend, revise, and discontinue a proposed solution after implementation.

NUR 590 Topic 4 DQ 1

Explain whether you would select a qualitative or quantitative design to collect data and evaluate the effectiveness of your evidence-based practice project proposal. Identify which data collection tool you would specifically use and explain why this design is best for your evidence-based practice project proposal.

My PICOT: In patients with a central line (P), does use of a central line care bundle (I), when compared to no use of a central line care bundle (C), lead to lower central line associated blood infection (CLABSI) rates (O), over the course of three months (T)?

 

Careful identification of study intentions and meaningful data collection is an essential piece in the evidence-based practice study design process. Though daunting, statistics “play a key role in health and human related research… statistical analysis assists in arriving at right conclusions which then promotes generalization or application of findings to the whole population of interest in the study,” (Rebekah & Ravindran, 2021, p 62). My PICOT intervention aims to reduce the rate of CLABSI occurrence over the course of three months. This quantitative evaluation leads me to design a quantitative evidence-based practice study that considers the numbers and rates of CLABSI occurrence and whether or not implementing a standard bundle will effectively reduce these. Additionally, statistical analysis is essential to give meaning and a story behind a great deal of numbers, with ultimate positive impact on patient popultaion outcomes (Rebekah & Ravindran, 2021). Inferential statistics allow for statistical analysis of data collected to then draw conclusions from specific interventions or scenarios.

 

My PICOT data collection does not require an intermediate or advanced statistical software. Instead, I would use an Excel document to collect information on a randomized control trial approach to patient information, whether or not the intervention of a central line care bundle was implemented or not, and if CLABSI rates were seen to be decreased compared to those without use of a central line care bundle. This would need to be done with access to patient health records in EPIC, to review documentation as well as nurse interventions actually being performed with this patient group. Using basic excel formulas, analysis is able to be performed on this somewhat simple comparison (Rebekah & Ravindran, 2021). I anticipate the largest challenge will be identifying those who will participate in the study, and if it can be done in a randomized fashion.

 

References

 

Rebekah, G. & Ravindran, V. (2021). Statistical analysis in nursing research. Indian Journal of Continuing Nursing Education, 19(1), p 62-69.

In the evidence based research project I am proposing, observing the effect that education has on physical health changes such as weight loss in order to decrease obesity rates may be best suited in a quantitative research design. This is because collecting body measurements would include physical number categorizing as well as identifying nutritional amounts in meals could be an important factor in evaluating if certain types of educational content are more effective than others (Metzgar & Nickols-Richardson, 2016). In order to collect quantitative data for the research project, the best data collection tool I believe would provide sufficient data for evidence based practice would be through survey. Surveys would be the most realistic option as my project setting would be set within the education department working with outpatient and public avenues (Lallukka, Pietilaeinen, Jaeppinen, Laaksonen, Lahti & Rahkonen, 2020). Controlled environments would cost too much resources to sustain and surveys that would include questions about changes in measurements what what type of foods being consumed within the time frame would provide data that can show direct correlation with less cost making them more efficient. However I would only distribute surveys for evaluation for those who have actively been contacted to participate in the project instead of using national surveys or general public ones.

References:

Lallukka, T., Pietilaeinen, O., Jaeppinen, S., Laaksonen, M., Lahti, J., & Rahkonen, O. (2020). Factors associated with health survey response among young employees: a register-based study using online, mailed and telephone interview data collection methods. BMC PUBLIC HEALTH, 20(1). https://doi-org.lopes.idm.oclc.org/10.1186/s12889-020-8241-8

Metzgar, C. J., & Nickols-Richardson, S. M. (2016). Effects of nutrition education on weight gain prevention: a randomized controlled trial. Nutrition Journal, 15, 1–13. https://doi-org.lopes.idm.oclc.org/10.1186/s12937-016-0150-4

Did you find apk for android? You can find new Free Android Games and apps.