Diagnostic Overshadowing of the Psychiatric Population in the Emergency Department: Physiological Factors Identified for an Early Warning System

J Am Psychiatr Nurses Assoc. 2018 Jul/Aug;24(4):327-331. doi: 10.1177/1078390317728775. Epub 2017 Sep 1.

Abstract

Background: Many people with mental disorders in the United States remain either medically untreated or inadequately treated, which is often attributed to diagnostic overshadowing, a common occurrence across the nation in emergency departments.

Objective: The aim of this research is to create a tool that supports accurate assessment and distinguishing behavioral symptoms between psychiatric illness and coexisting medical conditions in the emergency department, thus leading to appropriate care and placement.

Design: Retrospective cohort design of 133 psychiatric admissions were reviewed between the years 2011 and 2015.

Results: Logistic regression retained three factors: age greater than 70 years (odds ratio [OR] = 6.575, 95% confidence interval [CI] = 2.58-16.76), abnormal heart rate (OR = 8.48, 95% CI = 3.39-28.42), and abnormal temperature (OR = 9.82, 95% CI = 3.91-18.40). The three factors were then placed into a screening tool. The presence of each factor equaled 1 point. If the total score was greater than 2, the sensitivity of the tool was 68.7% and the specificity of the tool was 85.8%.

Conclusions: Coexisting medical conditions in the psychiatric population may present as behavioral symptoms; however, the use of a tool that focuses assessment toward medical factors such as abnormal heart rate, abnormal temperature, and advanced age can direct further investigation of behavioral symptoms.

Keywords: delirium; emergency department; overshadow diagnosis.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Cohort Studies
  • Emergency Service, Hospital*
  • Female
  • Hospitalization / statistics & numerical data
  • Humans
  • Male
  • Medical Records / statistics & numerical data
  • Mental Disorders / diagnosis*
  • Middle Aged
  • Retrospective Studies
  • Sensitivity and Specificity