Uncompleted emergency department care: patients who leave against medical advice

Acad Emerg Med. 2007 Oct;14(10):870-6. doi: 10.1197/j.aem.2007.06.027. Epub 2007 Aug 31.

Abstract

Objectives: To compare the patient characteristics, clinical conditions, and short-term recidivism rates of emergency department (ED) patients who leave against medical advice (AMA) with those who leave without being seen (LWBS) or complete their ED care.

Methods: All eligible patients who visited the ED between July 1, 2004, and June 30, 2005 (N = 31,252) were classified into one of four groups: 1) AMA (n = 857), 2) LWBS (n = 2,767), 3) admitted (n = 8,894), or 4) discharged (n = 18,734). The patient characteristics, primary diagnosis, and 30-day rates of emergent hospitalizations, nonemergent hospitalizations, and ED discharge visits were compared between patients who left AMA and each of the other study groups. A Cox proportional hazards model was used to examine the influence of study group status on the risk of emergent hospitalization, adjusted for patient characteristics.

Results: Patients who left AMA were significantly more likely to be uninsured or covered by Medicaid compared with those admitted or discharged (p < 0.001). The AMA visit rates were highest for nausea and vomiting (9.7%), abdominal pain (7.9%), and nonspecific chest pain (7.6%). During the 30-day follow-up period, patients who left AMA had significantly higher emergent hospitalization and ED discharge visit rates compared with each of the other study groups (p < 0.001). Insurance status, male gender, and higher acuity level were also associated with a significantly higher emergent hospitalization rate.

Conclusions: Patients who leave AMA may do so prematurely, as evidenced by higher emergent hospitalization rates compared with those who LWBS or complete their care.

Publication types

  • Comparative Study

MeSH terms

  • Adolescent
  • Adult
  • Baltimore / epidemiology
  • Cohort Studies
  • Emergency Service, Hospital / statistics & numerical data*
  • Female
  • Follow-Up Studies
  • Humans
  • International Classification of Diseases
  • Male
  • Medically Uninsured / statistics & numerical data
  • Middle Aged
  • Patient Discharge / statistics & numerical data
  • Patient Readmission / statistics & numerical data
  • Proportional Hazards Models
  • Racial Groups / statistics & numerical data
  • Retrospective Studies
  • Risk Factors
  • Socioeconomic Factors
  • Treatment Refusal / statistics & numerical data*
  • Waiting Lists