Heilig Daniel, Szabó Ákos, Fadgyas-Freyler Petra, Simon Judit
Department of Health Economics, Center for Public Health, Medical University of Vienna, 1090 Vienna, Austria.
Department of Financial Accounting, Corvinus University of Budapest, 1093 Budapest, Hungary.
Cancers (Basel). 2025 Mar 29;17(7):1158. doi: 10.3390/cancers17071158.
Differences in the lifestyle and health-service-seeking behavior of persons experiencing homelessness (PEH) are well known. However, a comprehensive estimation of the resulting healthcare utilization differences and health outcome impacts are so far under-researched, especially at the national level. We aim to close this gap of evidence for lung cancer within the Hungarian universal healthcare system. We analyzed lung cancer-related information for the PEH population in the Hungarian national central health insurance register dataset and a matched control population between 2015 and 2021. In this period, 11,857 people were registered as homeless for the majority of at least one year. To capture the effect of homelessness, we created a categorical "homelessness length index" (HLI) according to the proportion of time an individual experienced homelessness during the investigation period (HLI 0: 0; HLI 1: >0-1/3; HLI 2: >1/3-2/3; HLI 3: >2/3). PEH individuals were matched 1:5 with a non-PEH control sample adjusted for age, sex and region. We conducted Kaplan-Meier survival analysis and Cox proportional hazards (CPH) regression adjusted for age, sex, HLI and average lung cancer-related healthcare costs. Our final analysis sample consisted of 641 patients (233 PEH, 408 control) who were newly diagnosed with lung cancer during the observation period. The lung cancer prevalence in the PEH group was 1.97% as opposed to 0.69% in the control group. The Kaplan-Meier curve showed lower average survival times for the PEH group, compared to the control group. Lung cancer associated costs between diagnosis and death/censoring were substantially different with average per patient cumulative costs of EUR 3668 in the PEH group compared to EUR 6827 in the control group (2018 prices). This translated to an average 47% lower annual lung cancer-related healthcare cost per PEH patient. CPH analysis showed that after disease severity, the degree of time spent in homelessness had the most significant effect on mortality, with a HR of 1.47 associated with both HLI 2 and 3 (95% CI: 1.08-2.00 and 1.01-2.14, respectively). We find that in Hungary, homelessness is associated with a much higher lung cancer burden linked to a three-times-higher prevalence, lower overall survival and almost 50% lower annualized disease-specific healthcare costs. Worse outcomes are mainly driven by long-term homelessness. Results could not be further refined according to lifestyle-related factors due to data availability limitations.
无家可归者(PEH)在生活方式和寻求医疗服务行为方面的差异是众所周知的。然而,对由此产生的医疗保健利用差异和健康结果影响进行全面评估的研究目前还很不足,尤其是在国家层面。我们旨在填补匈牙利全民医疗保健系统中肺癌相关证据的这一空白。我们分析了匈牙利国家中央健康保险登记数据集以及2015年至2021年期间匹配的对照人群中与PEH人群相关的肺癌信息。在此期间,有11857人在至少一年的大部分时间里被登记为无家可归者。为了捕捉无家可归的影响,我们根据个体在调查期间经历无家可归的时间比例创建了一个分类的“无家可归时长指数”(HLI)(HLI 0:0;HLI 1:>0至1/3;HLI 2:>1/3至2/3;HLI 3:>2/3)。PEH个体与根据年龄、性别和地区进行调整的非PEH对照样本按1:5进行匹配。我们进行了Kaplan-Meier生存分析和Cox比例风险(CPH)回归,并对年龄、性别、HLI和平均肺癌相关医疗费用进行了调整。我们的最终分析样本包括641名在观察期内新诊断为肺癌的患者(233名PEH患者,408名对照患者)。PEH组的肺癌患病率为1.97%,而对照组为0.69%。Kaplan-Meier曲线显示,与对照组相比,PEH组的平均生存时间更短。诊断至死亡/截尾期间与肺癌相关的费用有很大差异,PEH组每位患者的平均累计费用为3668欧元,而对照组为6827欧元(2018年价格)。这意味着PEH患者每年与肺癌相关的医疗费用平均降低47%。CPH分析表明,在疾病严重程度之后,无家可归的时长对死亡率影响最为显著,HLI 2和HLI 3对应的风险比(HR)分别为1.47(95%置信区间:分别为1.08 - 2.00和1.01 - 2.14)。我们发现,在匈牙利,无家可归与更高的肺癌负担相关,肺癌患病率高出三倍,总体生存率更低,且特定疾病的年化医疗费用降低近50%。更差的结果主要由长期无家可归导致。由于数据可用性限制,无法根据生活方式相关因素进一步细化结果。