Predictors of patient adherence to follow-up recommendations after an ED visit

Am J Emerg Med. 2015 Oct;33(10):1368-73. doi: 10.1016/j.ajem.2015.07.032. Epub 2015 Jul 22.

Abstract

Background: It is unclear whether factors identified during the emergency department (ED) visit predict noncompliance with ED recommendations.

Study objective: We sought to determine predictors of adherence to medical recommendations after an ED visit.

Methods: We conducted a prospective, observational study at a single urban medical center. Eligible ED patients provided baseline demographic data as well as information regarding insurance status, whether they had a primary care physician (PCP), and the impact of cost of care on their ability to follow medical recommendations. Patients were contacted at least 1 week after the ED visit and answered questions regarding adherence to medical recommendations.

Results: Four hundred twenty-two patients agreed to participate in the study. At follow-up, 89.7% of patients reported that they had complied with recommendations made during the ED visit. Patients who were adherent to follow-up recommendations were more likely to have a primary care provider (odds ratio [OR], 2.6; 95% confidence interval [CI], 1.1-6.1), have an annual income of greater than $35000 (OR, 2.9; 95% CI, 1.2-7.2), and report a non-Hispanic ethnicity or race (OR, 2.8; 95% CI, 1.1-7.1). Individuals who reported that cost "sometimes" or "always" impacts their ability to follow their physician's recommendations were significantly less likely to comply with ED recommendations (OR, 2.7; 95% CI, 1.3-5.6).

Conclusion: Individuals who reported that cost affects their ability to follow their physician's recommendations and those who did not have a PCP were less likely to follow ED recommendations. Identification of predictors of noncompliance during the ED visit may aid in ensuring compliance with ED recommendations.

Publication types

  • Clinical Trial
  • Observational Study
  • Research Support, N.I.H., Extramural

MeSH terms

  • Adult
  • Confidence Intervals
  • Costs and Cost Analysis
  • Cross-Sectional Studies
  • Emergency Service, Hospital / economics*
  • Emergency Service, Hospital / statistics & numerical data
  • Ethnicity / statistics & numerical data
  • Female
  • Forecasting / methods
  • Hospitals, Urban
  • Humans
  • Insurance, Health / economics*
  • Insurance, Health / statistics & numerical data
  • Male
  • Patient Compliance / statistics & numerical data*
  • Physicians, Primary Care / economics*
  • Physicians, Primary Care / statistics & numerical data
  • Prospective Studies
  • Regression Analysis
  • Self Report
  • Social Class*
  • Training Support / economics
  • Training Support / statistics & numerical data
  • Utah