Abstract Background Non-attendance at healthcare appointments, known as no-show, poses significant challenges to healthcare systems, disrupting patient care continuity, exacerbating waiting times, and straining resources. Addressing this issue is crucial for optimizing health care delivery and containing costs. This study explores the phenomenon of patient no-shows and aims to identify factors associated in a densely populated healthcare district in Turin, Northern Italy. Methods Data were extracted from the healthcare management system covering outpatient care appointments in the health district in 2022 and 2023. The analysis included various patient and service-related variables. Missing information on key variables were managed with listwise deletion. Descriptive statistics provided an overview of missed appointment rates, while multivariate analysis explored various patient and service-related variables. Results A 5.1% (n = 6198) no-show rate was observed out of 120,405 records. The total cost incurred due to missed appointment fees amounted to €127,244. Several factors were associated with a significantly increased likelihood of no-show (p < 0.05), including initial visit (OR = 1.11), deferred priority (OR = 1.22), non-exempt status from healthcare co-payments (OR = 1.36), exemption based on income (OR = 1.82), age under 18 (OR = 2.46) and under 65 (OR = 2.32), male gender (OR = 1.17), residency outside the Piedmont Region (OR = 1.31) and outside Italy (OR = 2.46), and longer waiting time (OR = 1.01). Conclusions This study sheds light on the widespread issue of patient no-shows and its economic implications. It provides clear direction for implementing tailored interventions in healthcare settings. As a response to these findings, a telephone recall project was launched. Its efficacy will be evaluated in subsequent assessments to determine if it can effectively alleviate the burden of no-shows, thus enhancing healthcare efficiency and ensuring continuity of care for patients. Key messages • The no-show phenomenon has important implications both organizationally and economically. • The magnitude and major determinants of patient no-shows must be recognized to guide the deployment of tailored interventions in a real-world setting.
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