Predictors of non-attendance at outpatient endoscopy: a five-year multi-centre observational study from New Zealand

N Z Med J. 2019 Jun 7;132(1496):31-38.

Abstract

Aims: Outpatient endoscopy non-attendance leads to diagnostic delay and increasing wait times. We aimed to analyse endoscopy non-attendance rates and factors associated with it at the Canterbury and Auckland District Health Boards during a five-year period.

Methods: Consecutive appointments between April 2012 and March 2017 were assessed. The following procedures were included: gastroscopy, colonoscopy and endoscopic retrograde cholangiopancreatography. Predictors of non-attendance were assessed using univariate and multivariate binary logistic regression.

Results: A total of 58,434 appointments were offered (Canterbury-33,697, Auckland-24,737), of which 2,694 (4.6%) were not attended. Māori (OR 3.0, 95%CI 2.63-3.42) and Pacific Peoples (OR 3.1, 95%CI 2.7-3.55) were significantly more likely to miss appointments compared with Europeans. Patients from socioeconomically most deprived areas (NZDep10) had higher rates of non-attendance (OR 2.13, 95%CI 1.72-2.63) compared with NZDep1. Males (OR 1.43, 95%CI 1.32-1.56) and the Auckland District Health Board patients (OR 2.28, 95%CI 2.08-2.50) had higher non-attendance rates.

Conclusion: Overall, 4.6% patients did not attend endoscopy appointments. Māori, Pacific Peoples and patients from socioeconomically deprived areas had higher non-attendance rates. Targeted interventions for at-risk groups would potentially lessen health inequalities and optimise utilisation of endoscopy resources.

Publication types

  • Multicenter Study
  • Observational Study

MeSH terms

  • Adult
  • Ambulatory Care / organization & administration
  • Analysis of Variance
  • Appointments and Schedules*
  • Delayed Diagnosis / statistics & numerical data*
  • Endoscopy, Digestive System / methods*
  • Endoscopy, Digestive System / statistics & numerical data
  • Ethnicity
  • Female
  • Hospitals, Public
  • Humans
  • Incidence
  • Logistic Models
  • Male
  • Middle Aged
  • Multivariate Analysis
  • New Zealand
  • Outpatients / statistics & numerical data
  • Patient Compliance / statistics & numerical data*
  • Reminder Systems
  • Retrospective Studies
  • Risk Assessment
  • Socioeconomic Factors