Halder Pritam, Dixit Jyoti, Gupta Nidhi, Mehra Nikita, Singh Ashish, Malhotra Pankaj, Mathew Anisha, Kumar Lalit, Chandra Kataki Amal, Gupta Sudeep, Prinja Shankar
Department of Community Medicine and School of Public Health, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India.
Department of Radiation Oncology, Government Medical College and Hospital, Chandigarh, India.
Lancet Reg Health Southeast Asia. 2024 Dec 18;32:100514. doi: 10.1016/j.lansea.2024.100514. eCollection 2025 Jan.
Treatment delays are significantly associated with advanced stage, poor response to treatment, increased mortality risk, poor health outcomes, increased healthcare expenditures among cancer patients. However, factors associated with these delays have not yet been robustly evaluated. In order to bridge this gap, we determined the delayed time to treatment initiation (TTI) among cancer patients in India, ascertained its determinants, and assessed the trends of delayed TTI.
We analysed data collected from 6695 cancer patients seeking outpatient/daycare treatment, recruited at purposively selected seven healthcare facilities across six states of India. Data on socio-demographic and clinical characteristics including date of cancer diagnosis, date of treatment initiation, cancer site, stage and type of treatment were collected to determine the median TTI and ascertain its determinants among cancer patients in India. Time to treatment initiation was calculated as the duration (days) between diagnosis of cancer (histologically/clinically) and date of initiation of treatment. Multi-variable logistic regression was employed to analyse the relationship between the outcome variable (TTI) and each explanatory variable. A Cox Proportional Hazard (CPH) model was used to conduct time-to-event analysis, and to assess the impact of government-funded health insurance on timely cancer treatment initiation.
The median (IQR) overall TTI was 20 (7-39) days, with a mean of 53.7 days (SD, 192.9). The TTI was higher for those having head and neck cancer (median TTI: 29 days, IQR: 10.5-55.5) and those receiving radiotherapy as initial treatment (27.5 days, IQR: 10-49.5). Younger patients, those educated up to graduation level and males had significantly lower odds of delayed TTI. As compared to patients who were diagnosed between 1995 and 2017, those diagnosed after 2018 had a 36% (26-46%) higher odds of timely initiation of treatment within 30 days. Upon stratifying by enrolment under PMJAY, we found that while the access for timely treatment initiation increased by 33% for those who were not enrolled, vs. 90% among those enrolled under PM-JAY. Overall, this shows significant improvement in timely initiation of cancer treatment as a result of introduction of PM-JAY.
The study highlights the positive impact of government-funded health insurance schemes on the timely access to cancer treatment in India. Our study recommends expanding AB PM-JAY cancer packages to include cost-effective treatments, increasing population coverage under screening programs and promoting e-RUPI to reduce financial constraints associated with diagnostic services to address delayed treatment initiation due to unknown cancer stages.
Department of Health Research, Ministry of Health and Family Welfare, New Delhi, India.
治疗延迟与癌症患者的晚期阶段、对治疗反应不佳、死亡风险增加、健康结果较差、医疗保健支出增加显著相关。然而,与这些延迟相关的因素尚未得到充分评估。为了弥补这一差距,我们确定了印度癌症患者开始治疗的延迟时间(TTI),确定了其决定因素,并评估了延迟TTI的趋势。
我们分析了从印度六个邦有目的地选择的七个医疗保健机构招募的6695名寻求门诊/日间护理治疗的癌症患者收集的数据。收集了社会人口统计学和临床特征数据,包括癌症诊断日期、治疗开始日期、癌症部位、阶段和治疗类型,以确定印度癌症患者的中位TTI并确定其决定因素。治疗开始时间计算为癌症(组织学/临床)诊断与治疗开始日期之间的持续时间(天)。采用多变量逻辑回归分析结果变量(TTI)与每个解释变量之间的关系。使用Cox比例风险(CPH)模型进行事件发生时间分析,并评估政府资助的医疗保险对及时开始癌症治疗的影响。
总体TTI的中位数(IQR)为20(7 - 39)天,平均为53.7天(标准差,192.9)。头颈癌患者的TTI较高(中位TTI:29天,IQR:10.5 - 55.5),以及接受放疗作为初始治疗的患者(27.5天,IQR:10 - 49.5)。年轻患者、受过本科教育的患者和男性延迟TTI的几率显著较低。与1995年至2017年期间诊断的患者相比,2018年后诊断的患者在30天内及时开始治疗的几率高36%(26 - 46%)。按是否参加PMJAY进行分层后,我们发现,未参保者及时开始治疗的机会增加了33%,而参加PM-JAY的参保者增加了90%。总体而言,这表明由于引入PM-JAY,癌症治疗的及时开始有了显著改善。
该研究强调了政府资助的医疗保险计划对印度及时获得癌症治疗的积极影响。我们的研究建议扩大AB PM-JAY癌症套餐,以纳入具有成本效益的治疗方法,增加筛查计划的人口覆盖率,并推广电子 Rupay 以减少与诊断服务相关的经济限制,以解决由于癌症阶段不明导致的治疗开始延迟问题。
印度新德里卫生与家庭福利部卫生研究司。