Understanding Diagnosis Delay in Children With Cancer: Evidence From a Single Institution in Jordan

Abstract

Background: This study aimed to evaluate the factors associated with diagnosis delay in children with cancer who are treated at a single institution, which caters to most children with cancer in Jordan. Methods: This was a cross-sectional study with a retrospective chart review of selected patients who were diagnosed from August 2018 to December 2021. Data on patient and household characteristics, medical history, and diagnostic delay were collected through structured interviews. Univariable and multivariable linear and logistic regression models were used to identify predictors of delay. Results: The study included a cohort of 202 patient-caregiver pairs, with a median total delay from symptom onset to treatment initiation of 47 days (interquartile range [IQR], 21 to 114 d). Notably, 86% of families pursued medical consultation within a month of recognizing symptoms. A regression model revealed CNS tumors as a significant independent predictor of increased total delay (P=0.002), with affected patients experiencing a median delay markedly longer than those with other cancer types. In addition, older patient age predicted longer total delay (P=0.025). Symptomatology played a pivotal role in the timeliness of the diagnosis; specifically, visible symptoms such as pallor, bruises, and jaundice were associated with more expedient medical attention, with significantly shorter delays (P values: 0.011, <0.001, and 0.045, respectively). Furthermore, our investigation disclosed a notable variance in symptom prevalence across different cancer categories, elucidating the complex relationship between clinical presentation and diagnostic timelines. Conclusions: This study highlights the importance of the diagnosis of CNS tumors, patient age, and symptoms in predicting diagnosis delay in pediatric oncology patients. These findings can inform interventions to reduce delays in diagnosis and improve outcomes for these patients. These insights are crucial for developing targeted educational programs aimed at healthcare professionals and families to accelerate the recognition and referral of pediatric cancer cases.