Key points are not available for this paper at this time.
BackgroundEarly access to diagnosis and care is essential to improve rates of survival from childhood cancer, particularly in low-income and middle-income countries (LMICs). Composite indices are increasingly used to compare country performance in many health fields. We aimed to develop a composite vulnerability index of risk of mortality associated with delays in care for childhood cancer in LMICs, and to compare the vulnerability index scores across countries.MethodsThe composite vulnerability index was built in ten steps. A previous systematic review of determinants of delays in cancer care for children guided data selection. We collected exposure variables (determinants of delays in care) and outcome variables (childhood cancer-related mortality) from several large datasets. Data were analysed with regression models to identify determinants of delays in care that contribute to childhood cancer mortality. Significant indicators were aggregated into domains according to the socio-ecological model. We used geospatial tools to summarise and compare the composite vulnerability index scores across countries.FindingsWe found that life expectancy, maternal education, fertility rate, availability of pathology services, bone marrow transplantation capacity, availability of treatment services (chemotherapy, radiotherapy, or surgery), number of pharmacists per 10 000 population, country income level, and out-of-pocket health expenditure were significantly associated with cancer mortality for children in LMICs. The highest levels of vulnerability were found in sub-Saharan Africa.InterpretationOur composite vulnerability index can potentially serve as a valuable policy decision tool to help monitor country performance and guide interventions to reduce delays in care for children with cancer in LMICs.FundingNone.TranslationsFor the Chinese, Portuguese, Arabic, Spanish and Swahili translations of the abstract see Supplementary Materials section.
Building similarity graph...
Analyzing shared references across papers
Loading...
Cesia Cotache‐Condor
Johns Hopkins University
Hannah E Rice
Duke University
Kristin Schroeder
Duke University
The Lancet Global Health
Duke University
Duke Institute for Health Innovation
Kilimanjaro Christian Medical Centre
Building similarity graph...
Analyzing shared references across papers
Loading...
Cotache‐Condor et al. (Tue,) studied this question.
synapsesocial.com/papers/6a17ba968008e5848e6efaec — DOI: https://doi.org/10.1016/s2214-109x(23)00053-0