Predictors of repeated "no-showing" to clinic appointments

Am J Otolaryngol. 2015 May-Jun;36(3):411-4. doi: 10.1016/j.amjoto.2015.01.017. Epub 2015 Jan 30.

Abstract

Objective: To determine the variables that contribute to repeated patient non-compliance with showing up to clinic appointments.

Study design: Retrospective chart review.

Setting: Single tertiary care academic institution.

Subjects and methods: Patients who did not show up to 3 or more clinic appointments in the otolaryngology department in the Henry Ford Health System in metro Detroit, Michigan between July 1, 2011 to June 30, 2012 area were compared to control patients randomly chosen from those who had appointments on the same day with the same provider as the no-show patients.

Results: 105 patients were identified who no-showed to 3 or more clinic appointments. Younger age, black race, and lower income were all found to be significant factors for patients missing appointments in a multiple variate model. On logistic regression, Medicaid insurance, closer distance from home to appointment, less bus transfers, and less time by bus travel were also found to correlate with no-showing.

Conclusion: Age, race, and income are significantly related to patient non-compliance with clinic appointments. Paradoxically, proximity to the clinical appointment location is also significantly related - we hypothesize this may be the result of significant income inequality in the metro Detroit population distribution. Follow up studies include analyzing factors that precluded patient access and interventions to improve compliance and decrease cost.

MeSH terms

  • Adult
  • Age Factors
  • Aged
  • Appointments and Schedules*
  • Black or African American / statistics & numerical data
  • Female
  • Health Services Accessibility / statistics & numerical data*
  • Humans
  • Logistic Models
  • Male
  • Michigan
  • Middle Aged
  • No-Show Patients / statistics & numerical data*
  • Otolaryngology*
  • Retrospective Studies
  • Risk Factors
  • Sex Factors
  • Socioeconomic Factors
  • Young Adult