Determinants of Diagnostic Delays in Oral Squamous Cell Carcinoma: Insights from Demographic and Socio-Economic Factors.

Q2 Medicine Asian Pacific Journal of Cancer Prevention Pub Date : 2024-11-01 DOI:10.31557/APJCP.2024.25.11.3997

Ameersheti Yuktha, Sharath Chaitanya Bandari, Shazia J H Fathima, Jayaraman Selvaraj, Vishnu Priya Veeraraghavan, Arun Kumar Dasari, Santosh R Patil

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Abstract

Background: Oral squamous cell carcinoma (OSCC) is a prevalent malignancy with high morbidity and mortality rates. Timely diagnosis is critical for improving patient outcomes; however, diagnostic delays remain a concern. Understanding the factors that contribute to these delays is essential for developing effective interventions. This cross-sectional study aimed to investigate the demographic, socioeconomic, and clinical determinants of diagnostic delay in patients with OSCC.

Methods: This cross-sectional study included 226 patients with OSCC. Demographic data, including age, sex, marital status, education, and monthly household income, were collected. The time from symptom onset to definitive diagnosis was recorded. Stratified analysis and chi-square tests were conducted to assess the association between demographic and socioeconomic factors and diagnostic delays.

Results: The mean diagnostic delay was 55.2 days, with 61.9% of the patients experiencing delays exceeding 40 days. Older age (>50 years), single marital status, lower educational level, and lower monthly income were associated with longer diagnostic delays (p < 0.05). Delays in biopsy sample collection also correlated with increased diagnostic delay (p < 0.05).

Conclusion: Demographic and socioeconomic factors significantly influence diagnostic delays in patients with OSCC. Targeted interventions to address these disparities are crucial for improving early detection and enhancing patient outcomes.

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口腔鳞状细胞癌诊断延迟的决定因素：来自人口统计学和社会经济因素的见解。

背景：口腔鳞状细胞癌（OSCC）是一种发病率和死亡率高的常见恶性肿瘤。及时诊断对改善患者预后至关重要；然而，诊断延误仍然是一个问题。了解造成这些延误的因素对于制定有效的干预措施至关重要。本横断面研究旨在调查OSCC患者诊断延迟的人口学、社会经济和临床决定因素。方法：本横断面研究纳入226例OSCC患者。收集人口统计数据，包括年龄、性别、婚姻状况、教育程度和家庭月收入。记录从症状出现到确诊的时间。采用分层分析和卡方检验来评估人口统计学和社会经济因素与诊断延迟之间的关系。结果：平均诊断延迟为55.2天，61.9%的患者延迟超过40天。年龄较大（0 ~ 50岁）、婚姻状况单一、受教育程度较低、月收入较低与诊断延迟时间较长相关（p < 0.05）。活检样本采集延迟也与诊断延迟增加相关（p < 0.05）。结论：人口统计学和社会经济因素显著影响OSCC患者的诊断延迟。针对这些差异采取有针对性的干预措施对于改善早期发现和提高患者预后至关重要。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Asian Pacific Journal of Cancer Prevention 医学-肿瘤学

CiteScore

2.80

自引率

0.00%

发文量

779

审稿时长

3 months

期刊介绍： Cancer is a very complex disease. While many aspects of carcinoge-nesis and oncogenesis are known, cancer control and prevention at the community level is however still in its infancy. Much more work needs to be done and many more steps need to be taken before effective strategies are developed. The multidisciplinary approaches and efforts to understand and control cancer in an effective and efficient manner, require highly trained scientists in all branches of the cancer sciences, from cellular and molecular aspects to patient care and palliation. The Asia Pacific Organization for Cancer Prevention (APOCP) and its official publication, the Asia Pacific Journal of Cancer Prevention (APJCP), have served the community of cancer scientists very well and intends to continue to serve in this capacity to the best of its abilities. One of the objectives of the APOCP is to provide all relevant and current scientific information on the whole spectrum of cancer sciences. They aim to do this by providing a forum for communication and propagation of original and innovative research findings that have relevance to understanding the etiology, progression, treatment, and survival of patients, through their journal. The APJCP with its distinguished, diverse, and Asia-wide team of editors, reviewers, and readers, ensure the highest standards of research communication within the cancer sciences community across Asia as well as globally. The APJCP publishes original research results under the following categories: -Epidemiology, detection and screening. -Cellular research and bio-markers. -Identification of bio-targets and agents with novel mechanisms of action. -Optimal clinical use of existing anti-cancer agents, including combination therapies. -Radiation and surgery. -Palliative care. -Patient adherence, quality of life, satisfaction. -Health economic evaluations.