DNP 805 Select a defined patient population; for example, diabetic patients over 65 years of age

Grand Canyon University DNP 805 Select a defined patient population; for example, diabetic patients over 65 years of age-Step-By-Step Guide

This guide will demonstrate how to complete the Grand Canyon University DNP 805 Select a defined patient population; for example, diabetic patients over 65 years of age 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 Select a defined patient population; for example, diabetic patients over 65 years of age                           

Whether one passes or fails an academic assignment such as the Grand Canyon University DNP 805 Select a defined patient population; for example, diabetic patients over 65 years of age 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 Select a defined patient population; for example, diabetic patients over 65 years of age                         

The introduction for the Grand Canyon University DNP 805 Select a defined patient population; for example, diabetic patients over 65 years of age 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 Select a defined patient population; for example, diabetic patients over 65 years of age                         

After the introduction, move into the main part of the DNP 805 Select a defined patient population; for example, diabetic patients over 65 years of age 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 Select a defined patient population; for example, diabetic patients over 65 years of age                         

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 Select a defined patient population; for example, diabetic patients over 65 years of age                           

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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Sample Answer for DNP 805 Select a defined patient population; for example, diabetic patients over 65 years of age

Re: Topic 4 DQ 1

Databases is a term used to describe a collection of information that is relatable and connected to the objects being assessed. They have become a very important part of our daily lives in this twenty first century and it can be logical or physical. There are different databases for different fields and the type of information collected is unique to each area. This information could be collected in different forms of entries like spreadsheets, files, indexes and tables (Alexander, Hoy, & Frith, 2019). The implementation of databases is done by understanding how it works with the structure, design, management, application and storage of data.

In healthcare, Databases are used to store large quantity of Data, such as for record keeping of patient information like demographics, diagnosis, treatment plans, patient care plans, medications, and progressions of care and to respond to answers to complex questions. These databases are easy to recover Data from them and are easily optimized and updated for faster access and has made it easy for HCP to exchange information (Alexander, Hoy, & Frith, 2019).

The patient population selected for this database is heart failure. Heart failure is the syndrome that characterizes increased heart pressures or decreased cardiac output when there is a dysfunction of the systolic and diastolic functions of the heart which produces symptoms of constant shortness of breath, Bilat lower extremity edema, fatigue, and the possibility of need for constant use of oxygen (Kınıcı, & Gürdoğan, 2022).

Some of the elements needed for chronic heart failure will be demographics which will include the age-number, gender-text, vital signs-numeric, intake and output-numeric, weight gain or loss-numeric, medications-text, frequency of shortness of breath-text and numeric, time of day-time, when short of breath occurs most-text and numeric (Newman, 2019).

The frequency of sob could be text because you are noting that there is frequency of sob and then also noting how many times it occurs. Likewise, when the shortness of breath occurs most can be text as well as at what time it occurs most often.

References:

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

Kınıcı, E., & Gürdoğan, E. P. (2022). Hopelessness, Health Behaviors, and Quality of Life in Patients with Chronic Heart Failure. Journal of Education & Research in Nursing / Hemsirelikte Egitim ve Arastirma Dergisi, 19(1), 49–55. https://doi-org.lopes.idm.oclc.org/10.5152/jern.2022.79745

Newman, D. (2019). Healthcare database concepts – Databases in healthcare. Healthcare IT Skills, Health Information Technology Career Advice, Healthcare IT Certifications, Project Management, Job Tips. https://healthcareitskills.com/databases-in-healthcare-database-concepts/

Sample Answer 2 for DNP 805 Select a defined patient population; for example, diabetic patients over 65 years of age

Chronic heart failure (CHF)serves as a hospitalization’s primary cause for individuals beyond age 65, thereby representing burdens – such as economic and clinical. In addition, about half of hospital re-admissions are related to co-morbidities, polypharmacy, and disabilities associated with CHF (Tahhan et al., 2018).

Age: Coinciding with age advancement resides the risk of heart, the primary reason for hospitalization among individuals 65 years and beyond (Tahhan et al., 2018).

Gender: Males present a higher inclination towards heart failure than their female counterparts. In contrast, females present themselves with a higher disposition towards developing diastolic heart failure (heart muscle fails to enter a relaxed state) (Tahhan et al., 2018).

Demographics: Heart disease trends indicate an increased likelihood of possessing a causal relationship with differences from either race or geography, dealing with treatment concerning heart disease prevention. Case in point, researchers had uncovered that within the Deep aspects of the South, traits such as the absence of physical activity, heightened blood pressure, as well as obesity was deemed conventional (Tahhan et al., 2018).

Ethnicity: African-Americans are presented at a higher likelihood than their white counterparts of heart failure development prior to age 50 and pass away (Tahhan et al., 2018).

Genetics and Familial history: Individuals who are possessors of cardiomyopathies familial history (diseases inducing heart muscle injuries) see a higher heart failure likelihood. Researchers undergo investigation of genetic variants hailing from varying natures, which are accountable for the heightened potentiality of heart failure (Tahhan et al., 2018).

Comorbid Conditions: Diabetes, IHD, accompanied by hypertension, has undergone consistent reporting as a condition of comorbid nature, occurring within the initial heart failure hospitalization (Tahhan et al., 2018). Furthermore, individuals with diabetes see a high inclination toward heart failure, especially if individuals are also possessors of either increased blood pressure or even coronary artery disease (Tahhan et al., 2018). In addition, some instances of diabetes medications like rosiglitazone (Avandia) alongside pioglitazone (Actos) coincide with the potentiality of either worsening or inducing heart failure (Tahhan et al., 2018).

Furthermore, the increase of risk pertaining to heart failure is indicative of how diabetes is accountable for inducing kidney disease. Hypertension served as the most conventional comorbid condition (Tahhan et al., 2018).

Socioeconomic Status: We assessed Medicaid eligibility as a potential surrogate for socioeconomic status that might affect survival. African American patients were three times more likely to be eligible for Medicaid than were Caucasian patients. In addition, women were possessors inclining twice as high to qualify for Medicaid compared to their male counterparts (Tahhan et al., 2018).

Lifestyle Factors: Immobile livelihoods, engagement in smoking, consumption of alcohol, and drug abuse can heighten heart failure. Obesity is associated with high blood pressure and type 2 diabetes, placing people at risk for heart failure. Evidence strongly suggests that obesity is a significant risk factor for heart failure, particularly in women (Tahhan et al., 2018).

Reference

Tahhan, A. S., Vaduganathan, M., Greene, S. J., Fonarow, G. C., Fiuzat, M., Jessup, M., … & Butler, J. (2018).

Enrollment of older patients, women, and racial and ethnic minorities in contemporary heart failure clinical trials: a systematic review. JAMA cardiology, 3(10), 1011-1019.failure clinical trials: a systematic review. JAMA cardiology, 3(10), 1011-1019.

DNP 805 Topic 4 DQ 2 Sample Answer

The electronic health record EHR or the electronic medical record (EMR) is one of the most important sources for data analysis. It can be used today to drive decision-making in public health, identify risk factors for infectious diseases and treat them, and provide the continuity of care among various medical institutions while improving the quality of healthcare and continue to push forward medical and scientific research (Wang, 2019). Data Integration is the process of collecting a cluster of raw data from different sources and combining them into one source and it is stored and distributed to various applications from the storage place as new data. So, data mining would yield great knowledge of information needed to provide useful insights for research that would enable the compatibility of the EMR with different hospitals. It is the process of merging the systems from two different companies into one centralized data set. So, the integration and interoperability of healthcare data from different sources of information and communication technology (ICT) in a region or a country is of the utmost necessity for care and treatments in hospitals (Sreemathy, Naveen Durai, Lakshmi Priya, Deebika, Suganthi, & Aisshwarya, 2021), (Wang, 2019). 

Integration is often times looked upon as easy and just inputting data into a system but it is beyond that. The systems that have targeted only the technical aspects has led to many failures because the two systems are not built the same and may have different levels, and vendor policies, so there is a need to include the social factors as well and the broader context in the integration process (Bjørnstad, & Ellingsen, 2019). 

The patient population that I would like to integrate their data information would be the chronic heart failure (CHF) patients. It is a chronic debilitating disease with a very high mortality rate and severe symptom burden for a long duration. The physical symptoms of CHF are shortness of breath (SOB), Dyspnea, pain, fatigue, decreased physical activity, anxiety and depression because of the declining quality of life (QoL), (Siouta, Heylen, Aertgeerts, Clement, Janssens, Van Cleemput, & Menten, 2021). The integration data from this population would be the patient demographic which includes the age, gender, allergies, weight, admitting symptoms, prior diagnosis, history and physical with any chronic symptoms such as dyspnea, lower extremity edema, any use of oxygen, medications, laboratories, diagnostics, procedures, treatment care plans, and any tolerable physical activity. For there to be an integration between the clinical and the administrative systems, the integration process has to comply with the ethical and legal standards of the facilities and the regulators. For all the clinical and administrative systems to integrate, there are integrative systems in place like the enterprise resource planning systems, enterprise application integration, component ware, and middleware. Also, the standardization of systems is also necessary with integration and many more. The most recent being the open EHR standard 17 and international initiative to structure and standardize clinical knowledge by global consensus (Bjørnstad, & Ellingsen, 2019). 

IT systems in hospitals support cooperative work. Schmidt and Simone28 argue that cooperative work interleaves distributed tasks; articulation work manages the consequences of the distributed nature of the work. Hence, information technology (IT) systems in hospitals need coordination and articulation work to function (Bjørnstad, & Ellingsen, 2019). 

Improving the processes for patients and providers with the policy approaches must be evaluated to make sure that they remove unnecessary steps and complications for patients, while decreasing administrative burdens for providers. Standards and approaches must reflect how information flows through the health care system, the technical systems that are needed, and the crucial role of health information professionals play in translating across clinical and administrative domains. Also, the sharing of health information across payers and providers requires consideration of privacy policies, to ensure that only the minimum necessary information is shared, and they are not used beyond the specific transaction limited (American Health Information Management Association (AHIMA), 2020) 

References: 

American Health Information Management Association (AHIMA). (2020, February). AHIMA Policy Statement on Integrating Clinical and Administrative Health Data. AHIMA Home. https://ahima.org/media/cufldn1p/icad-policy-statement-final.pdf 

Bjørnstad, C., & Ellingsen, G. (2019). Data work: A condition for integrations in health care. Health Informatics Journal, 25(3), 526-535. https://doi.org/10.1177/1460458219833114 

Siouta, N., Heylen, A., Aertgeerts, B., Clement, P., Janssens, W., Van Cleemput, J., & Menten, J. (2021). Quality of life and quality of care in patients with advanced chronic heart failure (CHF) and advanced chronic obstructive pulmonary disease (COPD): Implication for palliative care from a prospective observational study. Progress in Palliative Care, 29(1), 11-19.  

https://doi.org/10.1080/09699260.2020.1831248 

Sreemathy, J., Naveen Durai, K., Lakshmi Priya, E., Deebika, R., Suganthi, K., & Aisshwarya, P. (2021). Data integration and ETL: A theoretical perspective. 2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS). https://doi.org/10.1109/icaccs51430.2021.9441997 

Wang, Z. (2019). Data integration of electronic medical record under administrative decentralization of medical insurance and healthcare in China: A case study. Israel Journal of Health Policy Research, 8(1). https://doi.org/10.1186/s13584-019-0293-9