Tuncer Alp N., Şahin B.
International Journal of Business and Applied Social Science, cilt.11, sa.4, ss.1-6, 2025 (Hakemli Dergi)
Özet
Aim: This study aimed to identify the number of patients not attending their outpatient appointments and the risk factors associated with no-show appointments in a university hospital.
Methods: Patients’ no-show appointments were analyzed retrospectively in a university hospital in Çorum, a typical medium-sized province of Turkey, in a one-month period between January 1 and February 1, 2020. Data were obtained from the hospital information systems. Multivariate logistic regression analysis was used to determine factors affecting no-show appointments.
Results: The proportion of no-show appointments was 16.2%. Logistic regression analysis showed a significant correlation between patients' sex, age, marital status, outpatient status, and not going to their appointments (p<0.05).
Conclusions: The findings of this study will help better understand and manage the problem of no-show appointments. To reduce the negative effect of no-show appointments it is important to develop appropriate interventions.