Factors Associated With Patient Failure To Attend Dental Appointments: A Retrospective Analysis

TL;DR

This study identifies factors like gender, marital status, and appointment time that contribute to missed dental appointments in Riyadh, Saudi Arabia.

Contribution

The study provides new insights into patient demographics and appointment timing factors associated with missed dental appointments in a specific healthcare setting.

Findings

The majority of nonattending patients were single females, with only 3.8% being over 55 years old.

Tuesdays had the highest number of missed appointments, and morning appointments had lower attendance than evening ones.

Age groups were not significantly associated with appointment time or date.

Abstract

Nonattendance at scheduled dental appointments has a significant impact on healthcare systems worldwide. This study examines the factors associated with missed appointments at the Dental Center in the Department of Oral and Dental Health in Riyadh, Saudi Arabia, through a retrospective secondary data analysis. Existing medical records from January 1, 2024, to May 1, 2024 were analyzed to identify patterns or factors contributing to nonattendance. Data were collected using a standardized sheet and analyzed with statistical methods, including correlation analysis, ANOVA, and chi-square tests, to determine significant associations and factors affecting nonattendance. The results indicated that the majority of nonattendees were single (56.2%), with a higher proportion of females (60.7%) compared to males (39.3%). Only 3.8% of those who missed their appointments were over 55 years old. Tuesdays had the highest incidence of nonattendance (331 cases). No significant association was found between age groups and the time (F = 0.224, p = 0.925) or date (F = 0.840, p = 0.500) of appointments. Patients were less likely to attend morning appointments compared to evening ones. The high rate of missed appointments reduces the effectiveness and efficiency of the Dental Center’s resources. The identified patterns and factors can guide managers and policymakers in developing strategies to reduce missed appointments and improve overall appointment adherence.

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