Hello, I want one response at least 150 words to each 4 posts ( Fore Responses i

Hello, I want one response at least 150 words to each 4 posts ( Fore Responses in total) below:
First response to this post (at least 150 words): Conducting a focused literature review and incorporating a theoretical framework are essential when it comes to developing evidence-based practice. To address this quality improvement project, certain steps need to be followed to ensure focusing our resources on beneficial literature. General steps for conducting a literature review include:
Identify the research question: We need to clearly identify and phrase our focused research question. A possible research question in our case would be “What interventions or practices have been effective in decreasing hospital admissions for adult patients with heart failure?”
Set search criteria: To ensure the most relevant search results, we need to establish criteria for our literature search. This can be done by specifying the publication date for up-to-date information, literature keywords for relevance, research design for desired methods, and the specific patient population in interest.
Collect data: An efficient data collection strategy is essential. We need to gather relevant information such as the study methodology, the implemented interventions, the reported outcomes, and the final findings of a study.
Analyze data: We need to examine the quality of the findings from our literature review by evaluating the relevance and accordance with our research question, as well as examine the validity of the findings to ensure we have extracted the best evidence that’s available for our project’s purposes.
Summarize results: We need to summarize and organize our review findings from the literature review. It’s important to identify the problems that were in question, the tested interventions, and the outcomes for each study. This step is crucial if not the most important for developing evidence-based practice.
From the literature review findings, we can develop a conceptual framework to guide our quality improvement project. A conceptual/theoretical framework will help our case by connecting the concepts in our research and their relationship to each other. In our case, it would be helpful to construct a conceptual/theoretical model identifying our problem and explaining why it is a problem, the evidence-based practice we came up with from our literature review and why we think it applies to our case, a detailed plan of action, the expected/desired outcomes from the project, and an evaluation of the efficacy of our research. Following these steps for conducting a literature review and constructing a theoretical framework can help us improve our case in addressing the need to decrease hospital admissions for adult patients with heart failure.
Reference:
LoBiondo-Wood, G., & Haber, J. (2022). Nursing research: Methods and critical appraisal for evidence-based practice (10th ed.). Elsevier.
2nd response to this post (at least 150 words): the medical field there are many different ways to educate patients about preventative care, of course we want them to come in if they’re sick but if there are steps to reduce the visits to the hospitals we need to educate them properly. Two ways that can help us, the hospital staff, is using theoretical framework and literature reviews. When taking a dive into theoretical framework, the QI team needs to understand which foundational part of the framework will best suit their research. Deductive framework is the way that our hospital will conducting their research and the reason behind this decision is that establishing a clinical question and proposing research off of that idea will be a focus that all healthcare personnel would be able to draw attend to, but also adapt the research into their personal lines of work – such as CNA, RN, and MD. Through deductive reasoning in this route the clinical results that were derived can be utilized in the literature review that fellow employees and hospitals can analyze in order to decrease hospital admission rates for heart failure patients. On the other side of quality improvement there is literature review, in the component there is usually a critical question. If the hospital staff addresses and identifies problems then it will improve admissions and discharges for the patients coming in and out of the desired unit or hospital. In order to add to the quality improvement team there needs to be some sort of evidence following behind, thats where qualitative and quantitative data comes in. In order to form a critical question there needs to be statistics and subjective data, this will help the readers understand why the question was formed and how it can relate to their evidence based practice. By using deductive framework and the many components of literature review the quality improvement team will be able to decrease the hospital admission for heart failure patients.
Hassan, M. (2023, August 15). Theoretical framework – types, examples and writing guide. Research Method. https://researchmethod.net/theoretical-framework/
3rd response to this post ( at least 150 words): In research, a literature review is an in-depth review or critical analysis typically of a critical question. According to the journal: The Central Role of Theory in Qualitative Research, “A theoretical framework is the use of a theory (or theories) in a study that simultaneously conveys the deepest values of the researcher(s) and provides a clearly articulated signpost or lens for how the study will process new knowledge. A theoretical framework is at the intersection of: existing knowledge and previously formed ideas about complex phenomena, the researcher’s epistemological dispositions, and a lens and a methodically analytic approach.” The theoretical framework is usually found before the statement of the issue. This can include the use of tools such as concept mapping, observation and interpretation to create a logical process in the research method. In this case, the hospital wants to use theoretical framework to conduct a literature review into decreasing hospital admission for heart failure patients. So a good place to start would be to create a concept map that connects what the hospital theorizes to be problems that lead to an increase in admissions of heart failure patients. From there we would take that information and come up with a critical question that we can use as the foundation point for the literature review that would be backed up by research and evidence-based practice. An example of ideas that could be used in decreasing the admission of heart failure patients would start in the primary care facility with conversations and handouts for teaching at the individual’s comprehension level on ways to minimize the risk of having heart failure. It would also include previous heart failure patients follow up appointments to check in and track adherence to prevent readmission. It is important to take steps towards identifying preventative measures in regard to admission census which is in the best interest of the patient and the hospital. Decreasing the hospital admission of heart failure patients would ensure that patient’s needs are met and prevent hospital staff burnout.
Citation:
Collins, C. S., & Stockton, C. M. (2018). The central role of theory in qualitative research. International journal of qualitative methods, 17(1), 1609406918797475.
4th response to this post- at least 150 words: Predicting Hospital Readmissions for Chronic Patients
One fascinating theme in healthcare data analysis is anticipating how persons suffering from prolonged illnesses, such as diabetes and Obsessive-compulsive personality disorder, must be returned to the medical facility. Returning to the hospital may cost healthcare structures much money while rendering patients ill. The objective is to create a system that can forecast which patients will be returned to the hospital. It will permit medics and nurses to center on those patients and diminish the readmission frequency.
Information Needed:
For me to resolve such an issue, it is necessary to have an extensive collection of particulars about patients, ranging from their fundamental data, their healthcare history, documentation of when they were hospitalized and released from the medical facility, specifics of the drugs they are consuming, along with data about any subsequent rendezvous they had after departing the facility. In addition, I must evaluate how simple it is for individuals to obtain medication and whether or not they have coverage.
The condition of the atmosphere and the location of something is crucial. The objective is determining how habitually patients must return to the facilities and what aspects make them more forced to visit again. Therefore, a yes or no response based on whether an individual had been returned to the hospital during a particular time, such as a month, is the critical insight I would gain after analyzing the data. It will enable healthcare professionals to intervene more quickly, reducing the incidence of recurrence.
Challenges in Data Loading and Storage:
The issues in this circumstance involve integrating data from several sources, such as medical documents, health coverage documents, and various supplementary sources, guaranteeing that the information remains protected and confidential, determining what should be done when there are deficient and absent statistics, and preserving a substantial capacity of healthcare data. Altering the records in real-time to uphold the system’s precision makes keeping and retrieving the information more challenging.
Data Transformation Process:
Data transformation would include preparing data, creating new features, and building models. I would use methods to fill in any missing data, convert categorical variables into numbers, and adjust the size of numerical data. Methods like recursive feature elimination will be used to find the most important predictors (Lee and Liu, 2020). Model growth encompasses machine learning algorithms like logistic regression and collective methods.
This procedure changes the EHR data to be utilized for predictive analysis. It also ensures the data is worthwhile, keeps it secretive, and helps the models work well. Consistent inspection and alterations are imperative for improving the exactness of expectations about patients being readmitted to the hospital.
References
Lee, I., & Liu, Y. (2020). Risk Prediction Models for Hospital Readmission: An Update of a Systematic Review.
https://doi.org/10.37766/inplasy2020.9.0099
Links to an external site.
Example of response: This is a really great take on the ways to use a literature review to decrease the admissions of heart failure patients. I didn’t even consider the use of inductive framework as a method of theoretical framework. Personally, my thought process was using concept mapping and observation to theorize a critical question to identify the underlying issues that are leading to an increase in admissions of patients with heart failure. I really enjoyed the way that you included the potential of an individual patient’s culture and lifestyle as an influence on the hospitals records as well. What you said about culture and lifestyle not being easily analyzed and needing more in-depth details is a great point because there is so much information that makes up those aspects in a literature review. This is also a great example of qualitative research because the evidence-based practice research doesn’t necessarily have a quantitative number but instead is reflected in data that is interpreted based off of the researchers own beliefs as well.