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Dissertation
Identifying Patients at Risk for Cardiovascular Disease.docx
(2019)
  • Shealyn Berry, University of Arkansas, Fayetteville
Abstract

Abstract
Purpose: Cardiovascular disease (CVD) is a condition that affects adults within the United States.  In Oklahoma, CVD is the number one cause of death.  Without an intervention, death rate from CVD will continue to rise.  This author designed a project to address the needs of reducing CVD among Oklahoma residents.  
Methods: The Health Belief Model was used to design a screening for CVD within the Electronic Health Record (EHR) using secondary data according to evidence-based guidelines.  A retrospective chart review identified patients at risk for developing CVD.  Patients were identified based upon current guidelines and statistics in Oklahoma (OK) for those at risk of developing heart disease. 
Results: Appropriate screening for risk factors did not occur within the EHR.  The top two documented risk factors were obesity and hypertension.  Physicians had better documentation rates of risk factors and behavior modification techniques; although individual PCP documentation varied greatly.  
Conclusions: The results demonstrate an inconsistency of documentation among patient demographics and primary care providers (PCPs). Obesity, smoking, and hypertension were the top three documented risk factors present among patients at clinic A whereas obesity, physical inactivity, and hypertension were the top three risk factors at clinic B.  More effective ways of documentation would increase identification of patients at-risk for CVD.  For example, the development of a template in the future may increase documentation and lead to earlier identification of patients at-risk of developing CVD and may decrease the development of CVD through primary prevention.

Keywords
  • Cardiovascular Disease,
  • prevention,
  • electronic health record
Publication Date
Spring April 23, 2019
Degree
Doctor of Nursing Practice- Family Nurse Practitioner Concentration
Department
Nursing
Citation Information
Shealyn Berry. "Identifying Patients at Risk for Cardiovascular Disease.docx" (2019)
Available at: http://works.bepress.com/shealyn-berry/1/