Chronic Multi system Illness in Veterans Essay Assignment Paper

Chronic Multi system Illness in Veterans Essay Assignment Paper

Chronic Multi system Illness in Veterans Essay Assignment Paper

Chronic Multi system Illness in Veterans

Use a national, state or local population health care database to research indicators of disparity. Choose a mortality/morbidity indicator to identify a clinical problem or issue that you want to explore pertaining to a population of focus. Use this indicator to begin to formulate a PICOT and conduct research on the population.

Write a 750-1,000-word paper that analyzes your research and focuses on the population you have chosen. Describe the population\’s demographics and health concerns, and explain how nursing science, health determinants, and epidemiologic, genomic, and genetic data may impact population health management for the selected population. Provide an overview of a potential solution for solving the health issue related to your population and the intended PICOT statement. Describe how the solution incorporates health policies and goals that support health care equity for the population of focus.

Online nursing essay on Chronic Multi system Illness in Veterans Essay

You are required to cite three to five sources to complete this assignment. Sources must be published within the last 5 years and appropriate for the assignment criteria and nursing content.

Clinical Inquiry (PICOT) on Chronic Multisystem Illness (CMI) in Veterans

As a healthcare person, it is not uncommon to realize during clinical practice that some clinical problems are unique or more common to a particular population demographic. By studying their demographic factors, common characteristics, and social determinants of health, it is therefore possible to come up with solutions to these clinical problems. However, it has to be ensured that the proposed solutions are efficacious and effective. This can only be done by ascertaining that the interventions proposed as a solution to the clinical problem(s) are evidence-based. This means that their efficacy must be backed by scholarly peer-reviewed scientific evidence in the form of research. Finding this evidence requires that the process of clinical inquiry be entered into. This involves the use of the PICOT model or Population, Intervention, Comparison, Outcome, and Timeframe (Melnyk & Fineout-Overholt, 2017). This paper identifies the population of US War Veterans as a population of interest with the clinical problem of chronic multisystem illness (CMI). It lays down the proposed solution and the clinical inquiry in terms of the PICOT statement.

Veteran Population Demographics and Health Concerns

In 18 years between the year 2000 and 2018, the population of veterans in the US declined from 26.4 million to 18 million. This was 7% of the adult population then. Despite this general decline in the veteran population, the number of women veterans increased to 1.7 million or 9% of the veterans. In the census results published in 2018, the median age of veterans was 65 years (USCB, 2020). This effectively means that a good majority of veterans are elderly and therefore live with pre-existing conditions in addition to service-related mental health conditions such as post-traumatic stress disorder or PTSD (Sadock et al., 2015). But these veterans have also been found to have other significant health concerns. In a study by McAndrew et al. (2016), the researchers found that Iraq and Afghanistan war veterans suffered from pain that was unexplained by any other psychological or physical condition that is specific. They concluded that the pain was part of a wider symptom profile of a condition referred to as chronic multisymptom illness or CMI. Their data analysis revealed that more than 9 out of 10 (90%) of veterans who had chronic pain easily met the diagnostic criteria for CMI. The CMI symptoms could not be accounted for by either PTSD or pre-deployment symptomatology (McAndrew et al., 2016). CMI is therefore the identified clinical health problem that is the focus of this paper’s clinical inquiry in terms of the PICOT model.

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