Feb 23, 2024 NUR 590 Topic 3 DQ 1 Discuss the significance of frameworks or models in guiding research or evidence-based practice projects
NUR 590 Topic 3 DQ 1 Discuss the significance of frameworks or models in guiding research or evidence-based practice projects NUR 590 Topic 3 DQ 1 Discuss the significance of frameworks or models in guiding research or evidence-based practice projects Click here to ORDER an A++ paper from our Verified MASTERS and DOCTORATE WRITERS: NUR 590 Topic 3 DQ 1 Discuss the significance of frameworks or models in guiding research or evidence-based practice projects When it comes to the importance of models in guiding EBP projects, keep in mind that change integration should be systematic. Time, resources, and who should be involved should all be specified precisely. According to Moullin et al. (2020), change implementation frameworks provide change leaders with a structure for describing, guiding, analyzing, and implementing evaluation efforts. This advances the implementation of generalizable scientific knowledge. A model that guides an EBP project, in general, shows how the main processes interact with one another. The overall strategy is well defined, with key elements such as problem focus, significance, outcome, timeline, implementation, and evaluation clearly defined. Failure to select the appropriate model has serious consequences and can result in research bias. Organizations and change leaders, according to Wyant (2017), must choose the EBP model that best fits their care context. When the incorrect model is used, it does not align with improvement goals and does not address priority clinical problems. Implementation and evaluation are flawed, and the results are misinterpreted. Outcomes and data may become highly opinionated as change leaders attempt to force favorable outcomes after investing significant time and resources. To avoid bias and properly implement change, change leaders should conduct an in-depth study of models and select the most appropriate as clinical problems dictate. Struggling to Meet Your Deadline? Get your assignment on NUR 590 Topic 3 DQ 1 Discuss the significance of frameworks or models in guiding research or evidence-based practice projects done on time by medical experts. Don’t wait – ORDER NOW! Meet my deadline The Star Model demonstrates how certain types of knowledge, such as systematic reviews and clinical practice guidelines, can aid in the translation of research. It is a model for comprehending the knowledge cycles, nature, and characteristics that are employed at various stages of EBP to integrate evidence into clinical decision making. A mentorship program for EBP and research at the point of care was enabled by the clinical scholar model, which was developed and implemented to foster the spirit of inquiry, train direct care providers, and promote it. It began as an interactive, outcomes-oriented educational program for nurses, but has since evolved into an interdisciplinary educational program for those who provide direct patient care (Melnyk, 2019). In my recommendation for evidence-based practice, the Star Model would be extremely useful. Knowledge is used to effect change in this strategy by reviewing current practice. Much research has been conducted to determine how dissatisfied patients and nurses are with the bereavement process that is now used in the emergency department when a patient miscarries. There hasn’t been much research into implementing best practices and protocols. As a result, by leveraging my subject-matter expertise, the Star Model will enable me to effect change. NUR 590 Topic 3 DQ 1 Discuss the significance of frameworks or models in guiding research or evidence-based practice projects. How can choosing an incorrect framework or model create bias in research? https://nursingmasters.blog/nur-590-topic-3-dq-1-discuss-the-significance-of-frameworks-or-models-in-guiding-research-or-evidence-based-practice-projects/ The present day’s health practice depends largely on continuous change for progressive improvement. Evidence-based practice (EBP) projects play an instrumental role in integrating current, relevant scientific knowledge to improve clinical outcomes. However, the outcomes are not standard and require guidance. Models are used to guide evidence-based practice (EBP) projects, and it is important to choose the most appropriate model. References Moullin, J. C., Dickson, K. S., Stadnick, N. A., Albers, B., Nilsen, P., Broder-Fingert, S., … & Aarons, G. A. (2020). Ten recommendations for using implementation frameworks in research and practice. Implementation Science Communications, 1(1), 1-12. https://doi.org/10.1186/s43058-020-00023-7 Wyant, T. (November 21, 2017). Adopt an evidence-based practice model to facilitate practice change. ONSVOICE. https://voice.ons.org/news-and-views/adopt-an-evidence-based-practice-model-to-facilitate-practice-change The models or framework could help nurses and other healthcare providers to translate the research findings into clinical practice while improving patient outcomes. Numerous evidence-based practice models are available to help nurses organize and systemically track progress in the implementation of evidence into practice. These models provide a step-by-step guide on how to take a clinical problem and match it with an intervention based on research to make an organizational or departmental change to practice (Brown.C. G.2014). Use of an established framework for implementation provides a structure to implementation efforts and increase the likelihood of project success and sustainability over time. Failure to utilize these approaches has the potential to create a secondary gap in knowledge translation within clinical settings (Tucker et al 2021). Brown. C .G(2014). The lowa model of Evidence-Based Practice to promote Quality care An Illustrated Example in Oncology Nursing. Clinical Journal of Oncology Nursing vol (18) https://cjon.ons.org/files/987UI80063M01166. Tucker. S, McNett. M, Mazurek. M. B, Hanarahan. K, Hunter. S.C, Kim. B, Callen. L & Kitson. A (2021). Implementation science: Application of Evidence-Based practice Models to Improve Healthcare Quality. Worldviews on Evidence-Based Nursing. 18:76-84. https://doi.org/10.1111/wvn.12495. A framework is fashioned from the existence of a method and a model. It contains a structure that outlines the indication of how the results were generated, even though it does not show the complete detail of the research. Most of the frameworks have one or more models that are based on the modelling techniques of the research and the project. With the different frameworks methods, the user has more freedom on the user of the framework and can use the models and techniques, which are there in the research. The model is also still slightly different from the framework, although it seems the same as the framework. A model is used to elaborate or show the mechanism and the operation of several processes of processing things. On the other side, a framework shows an empirical relationship between all the aspects of an inquiry in the scientific theory or any further research (Hogg et al., 2007). It also elaborates on the hinders of the approach and other genera aspects which coordinates the framework. A model is defined as something, which is used to represent any other thing or phenomenon. It primarily replaces the original product. The model has two main types, the physical and conceptual models. The physical model can be seen or touched; it is a material existing thing. While the conceptual model is the existence of something just as an idea or an imagination in ounce’s mind. The framework or model can create bias in research, mainly if not used in the right way of concept concerning the research being done (Younas & Maddigan, 2019). Although this method of analysis is highly reliable in any project, it needs a further reach to the project’s information to save on time and resources used. In addition, the data must be in plenty and well understood to come out with the right thing needed by the research. With this, you avoid the bias in research projects that lead to destruction and waste of resources and time. Reference Hogg, W., Rowan, M., Russell, G., Geneau, R., & Muldoon, L. (2007). Framework for primary care organizations: The importance of a structural domain. International Journal for Quality in Health Care, 20(5), 308–313. https://doi.org/10.1093/intqhc/mzm054 Younas, A., & Maddigan, J. (2019). Proposing a policy framework for nursing education for fostering compassion in nursing students: A critical review. Journal of Advanced Nursing, 75(8), 1621–1636. https://doi.org/10.1111/jan.13946s Nursing, as a profession, advances based on the quality of outcomes produced. Evidence based practice is designed to improve outcomes. To increase nursing knowledge, more evidence-based research needs to be created and applied. Research frameworks aid in EPB by giving new EPB researchers a place to start and guide the research process. Frameworks are significant by directing thought, action, planning and recruitment. Speroni et al. (2020) state a nurse’s critical thinking skills are important for implementation and transition into practice. Additionally, understanding theories and frameworks for implementation and why EPB is so important (Speroni, 2020). There is so much room for health care improvement, that the research opportunities are endless… if we have the researchers/nurses to explore the possibilities. Thought processes can bias research. Bluetow, 2019) speak about apophenia, the unconscious correlation of items which are not connected, which is a possibility for qualitative research. A pattern can be found anywhere if it is looked for (Bluetow, 2019). Bluetow (2019) reflects the goal of her paper was to remind folks of our unconscious bias. Other risk factors for bias includes observational bias. For example, observers watching for hand hygiene should not be connected to a hand sanitizer producing company, as background viewpoints may interfere with the impartiality. Recruitment can also bias a project. While unintentional, anyone who volunteers for a project has a motivation for the project. In addition, making sure a variety of background is represented, because different viewpoint can identify different problems or bias. ALSO CHECK OUT: NUR 590 Topic 2 DQ 2 Discuss how current research or literature will be used to ensure that change is based on current evidence Click here to ORDER an A++ paper from our Verified MASTERS and DOCTORATE WRITERS: NUR 590 Topic 3 DQ 1 Discuss the significance of frameworks or models in guiding research or evidence-based practice projects Speroni, K. G., McLaughlin, M. K., & Friesen, M. A. (2020). Use of Evidence‐based Practice Models and Research Findings in Magnet‐Designated Hospitals Across the United States: National Survey Results. Worldviews on Evidence-Based Nursing, 17(2), 98–107. https://doi-org.lopes.idm.oclc.org/10.1111/wvn.12428 Implementing frameworks or models in evidence-based research projects progresses the theoretical approach towards understanding and exploring the ways implementations can be successful or have errors. Models support by evidence-based practice creates a process that breaks down translated research turning it into clinical practices. Models use a level to detail the stages of evidenced-based practice (Nilsen, 2017). This process includes asking (determine the issue), attaining (analyze current literature), appraising (attentively examine evidence), applying (identify the need for a change of implementations), and assessing (determine if outcomes were successful). Frameworks affect various areas and dimensions of a study before introducing a methodological approach towards research (Moullin et al., 2020). When addressing framework biases, it focuses on statistical research design and experimental planning. Identifying biases offer strategies for minimizing this degree of prejudice in statistical method, which poses a danger to accurate conclusions. References Moullin, J. C., Dickson, K. S., Stadnick, N. A., Albers, B., Nilsen, P., Broder-Fingert, S., Mukasa, B., & Aarons, G. A. (2020). Ten recommendations for using implementation frameworks in research and practice. Implementation Science Communications, 1(1). https://doi.org/10.1186/s43058-020-00023-7 Nilsen, P. (2017). Making sense of implementation theories, models, and frameworks. Implementation Science, 10(1). https://doi.org/10.1186/s13012-015-0242-0 Evidence-based projects benefit from specific frameworks/models that guide the research and study results. Each study, like any other, has advantages and disadvantages. However, starting with a PICO(T) analytical research question rather than a descriptive PO question is a good way to get started with data and analysis (NDPCHS, 2021). Analytic studies include both experimental and observational analytic studies. Observational analytic studies include cohort studies, cross-sectional (analytic) studies, and case-control studies (NDPCHS, 2021). Both randomised parallel groups and randomised crossover studies are used in experimental studies. Depending on the research question, some of these studies may overlap. Having said that, it is critical to recognize the importance of selecting the appropriate framework or model when attempting to answer an evidence-based practice question. For example, if the goal of the question is to simply describe a population, one must consider whether a PO question or a PICOT question is more appropriate. However, if an intervention and its associated outcome are to be measured, a randomly assigned version of this qualifies for a randomised control trial (NDPCHS, 2021). The benefits of this type of study include an unbiased distribution of those involved. Disadvantages may include a lack of volunteers and ethical concerns. It is certainly important to select the appropriate design in order to elicit valid and reliable data leading to results, discussion, and outcome analysis through evaluation of randomised control trials, crossover design, cohort studies, case-control studies, cross-sectional studies, and more (NDPCHS, 2021). Furthermore, the completion of a study may be entirely dependent on whether or not the proper framework was chosen in the first place. If the wrong framework or model is chosen, it can lead to bias in the research. This may result in less valuable or potentially less revered academic results (NDPCHS, 2021). For example, choosing a case control study may increase the risk of bias in terms of recall and selection. If a specific disease-diagnosed patient population is evaluated, this restricted grouping may lend itself to a “hindsight is 20/20” perspective, in which more information is perceived to have been known prior to the evaluation than was actually known (NDPCHS, 2021). Overall, it is critical to assess and select appropriate study frameworks in order to obtain reliable, valid, and meaningful research results. References Nuffield Department of Primary Care Health Sciences (2021). Study Designs. Https://www.cebm.ox.ac.uk/resources/ebm-tools/study-designs Frameworks and models are important tools that help in guiding research and evidence-based projects. They help in ensuring that the studies are approached in a structured and organized manner by outlining the key concepts, variables, and relationships that need to be considered in the study. Choosing a framework is important as it will help in determine the perspective from whicha research will be conducted. It also helps in identifying variables that are relevant to the study and how they are related to each other. (Mudd et al., 2020) Using frameworks and models helps researchers in ensuring that the right questions are being asked, the right data is being collected, and the meaning of the findings is being interpreted in the correct way. Choosing the wrong framework or model can create research bias because it can lead to incomplete or inaccurate understanding of the research problem. For instance, if a researcher selects a theoretical framework that is not appropriate for the research question or population being studied, they may overlook important factors that are relevant to the study. This can result in biased data collection or analysis resulting in erroneous conclusions (Boyko & Beaulieu, 2022). Furthermore, using an inappropriate framework or model can result in misinterpretation of data which can further perpetuate bias. This occurs because researchers can draw conclusion that are nor evidence based because of using the wrong framework or model. This can further impact on those using the research as a point of reference, because they will be relying on wrong information. Choosing an appropriate framework or model is important in research as it helps in guiding the study and ensuing that that the research question is properly framed, relevant variables are identified and measured, and conclusions are supported by evidence. Choosing an incorrect framework or model can lead to biases that may affect the validity and reliability of the research findings. Therefore, researchers should be careful in selecting the most appropriate framework or model for their research project. References Boyko, J. D., & Beaulieu, J. M. (2022). Reducing the biases in false correlations between discrete characters. Systematic Biology. https://doi.org/10.1093/sysbio/syac066 Mudd, A., Feo, R., Conroy, T., & Kitson, A. (2020). Where and how does fundamental care fit within seminal nursing theories: A narrative review and synthesis of key nursing concepts. Journal of Clinical Nursing. https://doi.org/10.1111/jocn.15420 I agree with you that choosing the right framework and models is important in guiding successful research and evidence-based projects. Evidence-based projects are structured and organized engagements (Chen et al., 2020). Hence, these initiatives rely on frameworks and models. Therefore, researchers and healthcare stakeholders insist on creating adequate time to select the right models and frameworks. Choosing a framework is important as it will help in determining the perspective from which a research will be conducted (Shah et al., 2019). There are various frameworks and models that can be used in the research. As a result, researchers choose right models and frameworks depending with the nature of their research. However, the selection process can be marred with bias and favoritism. The selection of wrong frameworks and models interfere with the researching process. Therefore, researchers ensure that they maintain accuracy and ethics when choosing frameworks and models to incorporate in their research studies. Choosing an incorrect framework or model can lead to biases that may affect the validity and reliability of the research findings. References Chen, L. H., Hung, P., & Ma, H. W. (2020). Integrating circular business models and development tools in the circular economy transition process: A firm‐level framework. Business Strategy and the Environment, 29(5), 1887-1898. https://doi.org/10.1002/bse.2477 Shah, D., Schwartz, H. A., & Hovy, D. (2019). Predictive biases in natural language processing models: A conceptual framework and overview. arXiv preprint arXiv:1912.11078. https://doi.org/10.48550/arXiv.1912.11078 Frameworks or models are the foundation in which we build our project upon. If you do not have a firm foundation, then you cannot build something strong. It’s also important to remember that it is just a guide, and you can always change the foundation if you catch it early enough, but it is just best to start out strong and correct. If you pick the wrong model, you can create bias by having to proceed in the way it sways you. I also think doing weekly audits can help pinpoint where things are being missed. An article I am using in my research talks about how increased staff accountability helped support the use of the CLABSI prevention bundle (Buetti, 2022). Putting together a central line associate blood stream infection prevention bundle education sheet with the current research can also be helpful to show staff members why we do something that there is an evidence-based reason. Another article I use in my evidence-based practice project is on the oncology nursing society website and it’s titled Central Line Care: Reducing central line–associated bloodstream infections on a hematologic malignancy and stem cell transplant unit and it states something so perfect for this that, “Dedicated time to adequately educate staff on practices involving central line use, care, and maintenance is imperative” (Beaudry & ScottoDiMaso, 2020). That is exactly the strategy need to help sustain a higher level of readiness with this change. Understanding how imperative preventing these types of infections can really make a different. Preventing this infection can literally be life and death. References Beaudry, J., & ScottoDiMaso, K. (2020). Central Line Care: Reducing Central Line–Associated Bloodstream Infections on a Hematologic Malignancy and Stem Cell Transplant Unit. Clinical Journal of Oncology Nursing, 24(2), 148–152. https://doi.org/10.1188/20.cjon.148-152 Buetti, N., Marschall, J., Drees, M., Fakih, M. G., Hadaway, L., Maragakis, L. L., Monsees, E., Novosad, S., O’Grady, N. P., Rupp, M. E., Wolf, J., Yokoe, D., & Mermel, L. A. (2022). Strategies to prevent central line-associated bloodstream infections in acute-care hospitals: 2022 Update. Infection Control &Amp; Hospital Epidemiology, 43(5), 553–569. https://doi.org/10.1017/ice.2022.87 researchers consider right frameworks and models when conducting research. However, some players end up choosing incorrect frameworks and models that interfere with validity and reliability of their research findings due to biasness. Frameworks are critical in evidence-based projects such as research studies (Gao & Pishdad-Bozorgi, 2020). Frameworks and models create the foundation of most evidence-based initiatives. Therefore, adequate time and competence is directed towards choosing the right frameworks and models. Assessment of the selected frameworks is critical in determining their suitability in evidence-based projects. The evaluation process allows researchers to improve on the performance levels of the selected models (Tawafak et al., 2020). Frameworks guide critical engagements of the research. As a result, researchers prioritize right frameworks and models. Any form of manipulation and biasness in choosing and deploying framework interfere with the outcome. Thus, researchers insist on using the correct frameworks in their research. There are various frameworks for researchers to choose based on their research. References Gao, X., & Pishdad-Bozorgi, P. (2020). A framework of developing machine learning models for facility life-cycle cost analysis. Building Research & Information, 48(5), 501-525. https://doi.org/10.1080/09613218.2019.1691488 Tawafak, R. M., Romli, A. B., Arshah, R. B. A., & Malik, S. I. (2020). Framework design of university communication model (UCOM) to enhance continuous intentions in teaching and e-learning process. Education and Information Technologies, 25, 817-843.
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