NUR 550 Topic 4 Benchmark – Part A-Population Health Research and PICOT Statement.
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NUR 550 Topic 4 Benchmark – Part A-Population Health Research and PICOT Statement.
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NUR 550 Topic 4 Benchmark – Part A-Population Health Research and PICOT Statement.
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Grand Canyon University
NUR 550 Topic 4 Benchmark – Part A-Population Health Research and PICOT Statement /NUR 550 Topic 4 Benchmark – Part A-Population Health Research and PICOT Statement. In this course (NUR 550 Topic 4), you will be complete a 2-part assignment in which you conduct research about a population of fo...
nur 550 topic 4 benchmark – part a population health research and picot statement
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Grand Canyon University
NUR 550 Topic 4 Benchmark – Part A-Population Health Research and PICOT Statement.
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Running head: PART A: POPULATION HEALTH RESEARCH AND PICOT STATEMENT
Benchmark - Part A: Literature Review
Grand Canyon University
Translational Research and Population Health Management
NUR-550
June 13, 2019
, Running head: PART A: POPULATION HEALTH RESEARCH AND PICOT STATEMENT
Population Health Research and PICOT Statement
Introduction
Healthcare disparities occur when there is a difference in healthcare between different
population groups. These differences are associated with the inequality of access, health
coverage, and quality of care. Even though health disparities are typically discussed through
view of race and ethnicity, they can also refer to Socioeconomic Status (SES) and geographical
location. This research paper discusses the disparities in the health care system, with a specific
focus on SES and how it affects the access and availability of quality care. In general, the SES
can be classified by one's education, earnings, and occupation. If this standard is lower than
expected, individuals are categorized into the lower Socioeconomic (SE) community. They live
in rural and undeveloped regions where there is a lack of medical support, education, and job.
Health disparities place a tremendous strain on the community of health care and on culture.
Information technology, electronic communication, telehealth, telemedicine, and electronic
information exchanges will help to improve the clinical status of the patient (Orgera & Artiga,
2018).
The purpose of this paper is to describe the Lower SES 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 lower SES
population. An overview of a potential solution for solving the diabetes health issue related to
lower SES population and the intended PICOT statement.
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