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DNP 805 Topic 5 DQ 2 Using the clinical question you identified in the previous discussion question, determine the individual components to that question

DNP 805 Topic 5 DQ 2 Using the clinical question you identified in the previous discussion question, determine the individual components to that question

Grand Canyon University DNP 805 Topic 5 DQ 2 Using the clinical question you identified in the previous discussion question, determine the individual components to that question-Step-By-Step Guide

 

This guide will demonstrate how to complete the DNP 805 Topic 5 DQ 2 Using the clinical question you identified in the previous discussion question, determine the individual components to that question assignment based on general principles of academic writing. Here, we will show you the A, B, Cs of completing an academic paper, irrespective of the instructions. After guiding you through what to do, the guide will leave one or two sample essays at the end to highlight the various sections discussed below.

 

How to Research and Prepare for DNP 805 Topic 5 DQ 2 Using the clinical question you identified in the previous discussion question, determine the individual components to that question                                   

 

Whether one passes or fails an academic assignment such as the Grand Canyon University   DNP 805 Topic 5 DQ 2 Using the clinical question you identified in the previous discussion question, determine the individual components to that question depends on the preparation done beforehand. The first thing to do once you receive an assignment is to quickly skim through the requirements. Once that is done, start going through the instructions one by one to clearly understand what the instructor wants. The most important thing here is to understand the required format—whether it is APA, MLA, Chicago, etc.

 

After understanding the requirements of the paper, the next phase is to gather relevant materials. The first place to start the research process is the weekly resources. Go through the resources provided in the instructions to determine which ones fit the assignment. After reviewing the provided resources, use the university library to search for additional resources. After gathering sufficient and necessary resources, you are now ready to start drafting your paper.

 

How to Write the Introduction for DNP 805 Topic 5 DQ 2 Using the clinical question you identified in the previous discussion question, determine the individual components to that question                                   

 

The introduction for the Grand Canyon University   DNP 805 Topic 5 DQ 2 Using the clinical question you identified in the previous discussion question, determine the individual components to that question is where you tell the instructor what your paper will encompass. In three to four statements, highlight the important points that will form the basis of your paper. Here, you can include statistics to show the importance of the topic you will be discussing. At the end of the introduction, write a clear purpose statement outlining what exactly will be contained in the paper. This statement will start with “The purpose of this paper…” and then proceed to outline the various sections of the instructions.

 

How to Write the Body for DNP 805 Topic 5 DQ 2 Using the clinical question you identified in the previous discussion question, determine the individual components to that question                                   

 

After the introduction, move into the main part of the DNP 805 Topic 5 DQ 2 Using the clinical question you identified in the previous discussion question, determine the individual components to that question assignment, which is the body. Given that the paper you will be writing is not experimental, the way you organize the headings and subheadings of your paper is critically important. In some cases, you might have to use more subheadings to properly organize the assignment. The organization will depend on the rubric provided. Carefully examine the rubric, as it will contain all the detailed requirements of the assignment. Sometimes, the rubric will have information that the normal instructions lack.

 

Another important factor to consider at this point is how to do citations. In-text citations are fundamental as they support the arguments and points you make in the paper. At this point, the resources gathered at the beginning will come in handy. Integrating the ideas of the authors with your own will ensure that you produce a comprehensive paper. Also, follow the given citation format. In most cases, APA 7 is the preferred format for nursing assignments.

 

How to Write the Conclusion for DNP 805 Topic 5 DQ 2 Using the clinical question you identified in the previous discussion question, determine the individual components to that question                                   

 

After completing the main sections, write the conclusion of your paper. The conclusion is a summary of the main points you made in your paper. However, you need to rewrite the points and not simply copy and paste them. By restating the points from each subheading, you will provide a nuanced overview of the assignment to the reader.

 

How to Format the References List for DNP 805 Topic 5 DQ 2 Using the clinical question you identified in the previous discussion question, determine the individual components to that question                                   

 

The very last part of your paper involves listing the sources used in your paper. These sources should be listed in alphabetical order and double-spaced. Additionally, use a hanging indent for each source that appears in this list. Lastly, only the sources cited within the body of the paper should appear here.

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Topic 5 DQ 2

Using the clinical question you identified in the previous discussion question, determine the individual components to that question and pinpoint the location in the hypothetical database where the information you require will be extracted.

Sample Answer for DNP 805 Topic 5 DQ 2 Using the clinical question you identified in the previous discussion question, determine the individual components to that question

Having elements of a discharge record being uploaded into a database provides useful information. Providers being able to review discharge plans, medications and history of a patient can guide clinical decisions for the best outcomes possible. Specific items such as discharge instructions, medications or prescriptions, and diagnosis could be available to every medical provider via a communal database. “Health Current is the health information exchange (HIE) that helps partners transform care by bringing together communities and information across Arizona. The HIE, provides secure access to patient health information as well as the secure exchange of patient health information between the HIE and its participating organizations and providers. More complete information is more meaningful and leads to better care and better outcomes. It makes healthcare transformation possible” (HIE, 2022).

Healthcurrent. HIE. 2022. https://healthcurrent.org/hie/

The clinical problem from the previous discussion was chronic heart failure and the clinical question is if they will continue to use standardized medication treatments that may not be working with the complexity of chronic heart failure (Bai, Yao, Jiang, Bian, Zhou, Sun, Hu, Sun, Xie, & He, 2022). The Individual components to this question would be located in the electronic health records (EHR) of the patient within the database of the healthcare system. The individual components would be the patient demographics which includes the name of the patient, account number, sex, date of birth, race, religion, address, and insurance information, admission history and physical, the medication list, the laboratory results, the nursing records and the physician records. EHRs are designed to hold many types and ranges of patient data such as listed above and it has an endless capability for being customized to the particular needs of the patient and the HCP as well as the organization (Alexander, Hoy, & Frith, 2019).

References:

Alexander, S., Hoy, H., & Frith, K. (2019). Applied clinical informatics for nurses (2nd ed.). Jones & Bartlett Learning.

Bai, Y., Yao, H., Jiang, X., Bian, S., Zhou, J., Sun, X., Hu, G., Sun, L., Xie, G., & He, K. (2022). Construction of a non-mutually exclusive decision tree for medication recommendation of chronic heart failure. Frontiers in Pharmacology12https://doi.org/10.3389/fphar.2021.758573

Read Also: DNP 805 Assignment EHR Database and Data Management Essay

Sample Answer 2 for DNP 805 Topic 5 DQ 2 Using the clinical question you identified in the previous discussion question, determine the individual components to that question

This is another great example of how data mining can help to improve the care for heart failure patients. I agree that most of this data is easily abstracted from the electronic medical record. What is your hypothesis for your clinical question. Looking for correlations can help greatly with this dat mining.

Click here to ORDER an A++ paper from our Verified MASTERS and DOCTORATE WRITERS: DNP 805 Topic 5 DQ 2 Using the clinical question you identified in the previous discussion question, determine the individual components to that question

The clinical question proposed was, what interventions are impactful in improving decreasing nursing turnover among nurses? To do this you look at the nursing turnover rate and comparing it to leapfrog rating, CMS Stars, Magnet status, mandated patient ratios,

DNP 805 Topic 5 DQ 2 Using the clinical question you identified in the previous discussion question, determine the individual components to that question
DNP 805 Topic 5 DQ 2 Using the clinical question you identified in the previous discussion question, determine the individual components to that question

workplace violence incidents, employee injuries, and union hospitals. This would allow for correlations of what makes facilities more appealing to nurses. This data could also be regionalized, because what is more important to nurses in California may be very different for those in Mississippi. They allows for targeted recruiting and retaining techniques. Some of these have already been studied on a smaller scale. For example, one study determined a correlation with workplace violence and turnover in two large teaching hospitals (Yeh et al., 2020). Another example is Magnet units have lower turnover than units a non-Magnet facilities (Park et al., 2016). What we don’t know is how widespread this is and if it varies across regions. This will add to that ability. Also, how has this changed post pandemic. Have the priories on what is keeping nursing from turning over the same? All are things that can be answered by this database.

Reference

Park, S. H., Gass, S., & Boyle, D. K. (2016). Comparison of Reasons for Nurse Turnover in Magnet ® and Non-Magnet Hospitals. The Journal of Nursing Administration46(5), 284–290.

Yeh, T.-F., Chang, Y.-C., Feng, W.-H., Sclerosis, M., & Yang, C.-C. (2020). Effect of Workplace Violence on Turnover Intention: The Mediating Roles of Job Control, Psychological Demands, and Social Support. Inquiry : A Journal of Medical Care Organization, Provision and Financing57, 46958020969313. https://doi-org.lopes.idm.oclc.org/10.1177/0046958020969313

Sample Answer 3 for DNP 805 Topic 5 DQ 2 Using the clinical question you identified in the previous discussion question, determine the individual components to that question

There are many valid points for consideration in data mining related to nursing turnover. Considering the nursing shortage we are in, it is a hot topic and one worth investigating. There are two vital sides to this topic one concerns the nurse and the other concerns care for the patient. I appreciate your data mining considerations have variables that relate to both sides of this issue. In addition to considering the impact on the patient and nurse, the locality is another important factor that you addressed. Because this information can vary from location to location, it would be interesting to compare one region to another. Different factors help to keep staff at the bedside, and compensation is one of those factors (Halim, et al., 2020). With proper data mining techniques, this can be analyzed to entice nurses to stay. With the cost to replace a nurse, the current shortage, and patients who depend on nursing care, this data mining would be fruitful to the nursing profession.

Interesting topic and question Alicia, One that pulls at my emotions dearly when i see how much the bedside nurses are pulled in so many different directions. The early nursing turnover which is now a critical issue that has received worldwide attention and it has a lot of mitigating factors like some of the ones you have mentioned such as the mandated nurse-patient ratios, workplace violence, employee injuries. The aging population has added and increased pressure on the health care system with the increasing need for healthcare services which has continued to increase the need for nurses (Hu, Wang, Lan, & Wu, 2022).  Personally, for me, what I consider the biggest issue is the non-standardized nurse-patient ratios nationally. Hence states like California and some have set ratios of 6 patients per RN while states like NJ base it on acuity so that they could continue to increase the number of patients per RN even when they are not short of RNs. Another issue I have is the incessant rush within healthcare. The rush to get things done especially in the medical units when it is not an emergency. This rush to get things done, does not afford the nurses the time to calmly critically think things through and because of the lack of staff especially the ancillary staff like the nursing assistants to support the nursing work, the nurses, have to do all things which increases the pressure and stress upon the nurses. A study reported that 22% of hospital nurses plan to leave their profession in less than a year because of workplace stress. The stress reduces nursing quality care, increases the re-recruitment costs, and the associated decrease in patient safety and positive outcomes (Hu, Wang, Lan, & Wu, 2022). There is also the negative feeling of the nurses when they have to keep training new staff constantly. These states and facilities forget to realize that, one, they are dealing with human lives and the nurses need to pay attention to the patients to avert any adverse events but when they are pulled in different directions, they are not able to focus on all their patients in a safe manner. An article points to three possible interventions of hope, career identity, job satisfaction that may help to reduce early nurse turnover (Hu, Wang, Lan, & Wu, 2022). The Nurses’ career identity affects their work enthusiasm and is positively associated to their job satisfaction which eventually affects the quality of their work. This is their understanding of the social impact of their profession on their work which is characterized by their feelings, values and their attitude to their work (Hu, Wang, Lan, & Wu, 2022). Hope is a concept that portrays positive motivation based on one’s sense of success from the will power and energy to achieve a set goal. Scholars have shown that hope is particularly important in the face of the intense competition and uncertainty that characterize the present work and career environment. Having high level of hope helps the nurses to appropriately deal with the psychological stress and be able to cope with the difficulties and perhaps decrease the negative impact of dissatisfaction with the job that generates intention to leave. So, when hope is lost or diminished, it becomes difficult to retain the nurse (Hu, Wang, Lan, & Wu, 2022). Likewise, job satisfaction is also a positive emotional reaction that is generated by the nurse individual assessment of their work. It is a negative association and an antecedent to nurse turnover intention (Hu, Wang, Lan, & Wu, 2022). Nurses particularly feel job dissatisfaction when they are constantly overwhelmed and overworked, leaving work 2-3 hours late to catch up on documentation which is worse when they have to come back the next day. This causes extreme lack of adequate sleep, stress and decreased mental cognition when they need it. This affects patient safety and outcome and it is not safe for the nurses either. When they feel that the safety of their nursing license is constantly being placed on the line, they will have the intention to leave. Job satisfaction has a negative association with turnover intention which suggests that improving the job satisfaction of nurses is an important strategy to retain nurses (Hu, Wang, Lan, & Wu, 2022).

References:

Hu, H., Wang, C., Lan, Y., & Wu, X. (2022). Nurses’ turnover intention, hope and career identity: The mediating role of job satisfaction. BMC Nursing21(1). https://doi.org/10.1186/s12912-022-00821-5

Sample Answer 4 for DNP 805 Topic 5 DQ 2 Using the clinical question you identified in the previous discussion question, determine the individual components to that question

Hospital re-admissions have become a healthcare nightmare. Undoubtedly, its prevention has the potential of delivering better quality care while saving healthcare costs. There are lots of research studies being conducted on the key factors that contribute to preventable hospital readmissions. Interestingly, there’s increased awareness regarding the prediction of readmission risks that may assist physicians and hospital management to develop early interventions that identify and treat patients at high risk of readmissions and enhance both quality of care and financial outcomes.  (Ben-Assuli & Padman, 2018). I believe telehealth medicine may be helpful in preventing readmissions or reducing the rate of readmissions. However, different mining techniques to predict readmission risks have been explored and compared. A comparative analysis of data mining techniques by Hon, et al, (2016), on patients specifically with Congestive Heart Failure (CHF), could identify higher readmission risks in patients with an anticipated lengthy and expensive 30-day readmission (Ben-Assuli & Padman, 2018).

 

References

Ben-Assuli, O. and Padman, R. (2018). Analysing repeated hospital readmissions using data mining …

https://www.ncbi.nlm.nih.gov›articles›PMC6452839

Hon C. P., Pereira M., Sushmita S., Teredesai A., & De Cock M. (2016). Risk stratification for hospital readmission of heart failure patients: A machine learning approach. In Proceedings of the 7th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (pp. 491–492). ACM. [Google Scholar]