Impact of the Presenting Symptom on Time Intervals and Diagnostic Routes of Patients with Symptomatic Oral Cancer

• Published in: Cancers Vol. 13; no. 20; p. 5163
• Main Authors: Varela-Centelles, Pablo Ignacio, López, Daniel Pérez, López-Cedrún, José Luis, García-Rozado, Álvaro, Baz, Pablo Castelo, Romero-Méndez, Amparo, Seoane, Juan
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 14.10.2021; MDPI
• Subjects: Confidence intervals; Diagnosis; Generalized linear models; Health services; Hospitals; Medical diagnosis; Mortality; Oral cancer; Patients; Primary care; Questionnaires; Statistical analysis; Tumors; Variables
• ISSN: 2072-6694; 2072-6694
• DOI: 10.3390/cancers13205163

This investigation was aimed at determining the time intervals from the presenting symptoms until the beginning of oral cancer treatment and their relative contribution to the total time, and to assess the impact of the presenting symptom on diagnostic timelines and patient referral routes. A cross-sectional, ambispective study was designed to investigate symptomatic incident cases. The Aarhus statement was used as a conceptual framework. Strategies for minimizing potential recall biases were implemented. A sample of 181 patients was recruited (power: 99.5%; α = 0.05). The patient interval reached 58.2 days (95% CI, 40.3–76.2), which accounted for 74% of the whole prereferral interval and for more than one third of the total time interval. The presenting symptom (trigger for consultation) influenced both the number of primary care consultations and the length of time to diagnosis. General dental practitioners generated longer intervals to diagnosis (p < 0.005) and needed more consultations before referring a patient (RR = 0.76; 95% CI, 0.61–0.93), than general medical practitioners. The current study identifies the patient as the main target for interventions to improve awareness and reinforces the need for increased alertness amongst healthcare professionals about presenting symptoms of oral cancer and to diminish the number of prereferral consultations in order to optimize the primary care interval.