Chakrabarty Subhajit, Rathod Udaysinh, Singh Sweta, Roy Debarshi, Maya Ismael
Dept. of Computer Science, LSU Shreveport, Louisiana, USA.
Dept. of Biological Sciences, Alcorn State University, Mississippi, USA.
Proceedings (IEEE Int Conf Bioinformatics Biomed). 2024 Dec;2024:6582-6588. doi: 10.1109/BIBM62325.2024.10822220.
Ensuring access to cancer treatment facilities is essential for delivering timely care, yet various barriers such as geographic distance, socioeconomic factors, and social disparities can impede access in rural and urban regions. This study measured locational health access for colorectal cancer in the context of hospitals and population distribution in Louisiana. It used data of census tracts, hospital beds and providers, from the National Cancer Institute. By mapping the distribution of these healthcare facilities, the study revealed the potential of identifying significant challenges in accessing specialized cancer care. There is no existing locational health access metric in this domain. The contribution of this paper is that it meticulously calculated the actual road distance of each census tract centroid and each cancer-treating hospital, and offers a new locational health access metric. This metric considers the number of beds and number of oncologists, as a proxy for measurement of cancer treatment facilities. The significance of this work is that it can be applied in a larger scope (such as the country), with more variables, and for other diseases treated by hospitals. It has public policy implications; hospitals can be located through such data-driven analysis.
确保获得癌症治疗设施对于提供及时治疗至关重要,但诸如地理距离、社会经济因素和社会差异等各种障碍可能会阻碍农村和城市地区的患者获得治疗。本研究在路易斯安那州医院和人口分布的背景下,衡量了结直肠癌的区位医疗可及性。它使用了美国国家癌症研究所的人口普查区、医院病床和医疗服务提供者的数据。通过绘制这些医疗设施的分布情况,该研究揭示了在获得专科癌症护理方面识别重大挑战的可能性。该领域目前没有现有的区位医疗可及性指标。本文的贡献在于它精心计算了每个人口普查区中心与每家癌症治疗医院之间的实际道路距离,并提供了一种新的区位医疗可及性指标。该指标将病床数量和肿瘤学家数量作为衡量癌症治疗设施的替代指标。这项工作的意义在于它可以在更大范围(如全国)、包含更多变量的情况下应用于其他医院治疗的疾病。它具有公共政策意义;医院可以通过这种数据驱动的分析来选址。