ArticleBMC cancer2024
Experiences of patient delay among lung cancer patients in South China.
Article in BMC cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Pathways to lung cancer diagnosis and treatment among patients in Ethiopia: A qualitative study.Scientific reports · 2026Article
- Exosomal biomarkers and therapeutics in lung cancer: a narrative review on their role in early detection and targeted treatment.Translational lung cancer research · 2025Review
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Authors and funding
6 authors.
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Abstract
backgroundLung cancer is a commonly diagnosed cancer and the leading cause of cancer-related mortality worldwide. Cancer delay pose significant challenges for health systems globally, with patient delay being a primary factor contributing to late diagnoses, ultimately resulting in adverse outcomes and reduced survival rates. However, the underlying reasons for patient delay are not well understood, and there is a scarcity of studies that specifically examine the experiences related to patient delay among lung cancer patients. Therefore, this study aims to explore the experiences of lung cancer patients and identify potential strategies to mitigate their delays in seeking care.
methodsThe interview framework was developed based on the Theory of Planned Behavior. Face-to-face semi-structured interviews were conducted with participants. Data analysis was performed using Colaizzi's phenomenological analysis method.
resultsA total of 30 lung cancer patients participated in the interviews, which lasted between 26 and 42 min (with an average duration of 33 min). The duration of patient delay varied from 90 to 213 days. Four themes were identified: (1) reasons for patient delay, (2) health-seeking triggers, (3) perception of patient delay, and (4) potential solutions.
conclusionLung cancer patients exhibited varying degrees of patient delay attributed to factors such as ignoring or dismissing symptoms, lack of family support, poor access to health services, and the COVID-19 pandemic. Promoting disease knowledge, optimizing resources and implementing technology-based solutions may serve as effective measures to address these issues.
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