title: Nonattendance of adult otolaryngology patients for scheduled appointments.
abstract: BACKGROUND
  Nonattendance for appointments is an impediment to otolaryngology patient care worldwide. In a previous study of children attending an otolaryngology clinic, we observed that attendance was determined by the waiting time for an appointment and the timing of the appointment within the day. However, the factors that affect nonattendance in adults have not been well studied.
  
  
  OBJECTIVE
  We aimed to investigate factors associated with nonattendance in adults visiting an otolaryngology clinic.
  
  
  METHODS
  Nonattendance was observed for a period of one year in adult patients visiting an ambulatory otolaryngology clinic. The following parameters were also noted: age, gender, treating physician, waiting time and timing of the appointment. The chi-square test was used to analyse differences between categorical variables. The t-test was used to analyse differences between continuous variables. Logistic regression was used for multivariate analyses.
  
  
  RESULTS
  The study assessed 8071 visits to the otolaryngology clinic. The overall proportion of nonattendance was 27.7 per cent. A multivariate logistic regression model demonstrated that nonattendance was significantly associated with the following factors: female gender, younger age, long waiting time for an appointment, timing of the appointment within the day and the treating physician.
  
  
  CONCLUSIONS
  In adult otolaryngology patients, nonattendance was associated with patient-related factors and healthcare systems related factors alike. It is suggested that managed overbooking could be carefully introduced into otolaryngology patient scheduling.
authors.affiliation: Clalit Health Services, Siaal Research Center for Family Medicine and Primary Care, Beer-Sheva, Israel.
authors.forename: A D
authors.initials: AD
authors.lastname: Cohen
authors.forename: D M
authors.initials: DM
authors.lastname: Kaplan
authors.forename: M
authors.initials: M
authors.lastname: Kraus
authors.forename: E
authors.initials: E
authors.lastname: Rubinshtein
authors.forename: D A
authors.initials: DA
authors.lastname: Vardy
mesh_terms: D000293:Adolescent; D000328:Adult; D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D001071:Appointments and Schedules; D005260:Female; D006302:Health Services Research; D006801:Humans; D007557:Israel; D016015:Logistic Models; D008297:Male; D008505:Medical Staff, Hospital; D008875:Middle Aged; D010036:Otolaryngology / Q000458:organization & administration*; D010044:Outpatient Clinics, Hospital / Q000458:organization & administration*; D010045:Outpatients / Q000523:psychology* / Q000706:statistics & numerical data; D010349:Patient Compliance / Q000706:statistics & numerical data; D010352:Patient Dropouts / Q000706:statistics & numerical data*; D012737:Sex Factors; D013997:Time Factors; D014850:Waiting Lists