Addressing the gap in health economics data to support national cancer control plans in low‐ and middle‐income countries: The Childhood Cancers Budgeting Rapidly to Incorporate Disadvantaged Groups for Equity (CC‐BRIDGE) tool

Author:

Bolous Nancy S.1ORCID,Chokwenda‐Makore Nester2,Bonilla Miguel1,Chingo Grace3,Kambugu Joyce4,Mulindwa Justin M.3,Noleb Mugisha4,Chitsike Inam2,Bhakta Nickhill1ORCID

Affiliation:

1. Department of Global Pediatric Medicine St. Jude Children’s Research Hospital Memphis Tennessee USA

2. Department of Paediatrics and Child Health Faculty of Medicine and Health Sciences University of Zimbabwe Harare Zimbabwe

3. Department of Pediatric Oncology Cancer Disease Hospital Lusaka Zambia

4. Department of Pediatric Oncology Uganda Cancer Institute Kampala Uganda

Abstract

AbstractBackgroundNational cancer control plans (NCCPs) are complex public health programs that incorporate evidence‐based cancer control strategies to improve health outcomes for all individuals in a country. Given the scope of NCCPs, small and vulnerable populations, such as patients with childhood cancer, are often missed. To support planning efforts, a rapid, modifiable tool was developed that estimates a context‐specific national budget to fund pediatric cancer programs, provides 5‐year scale‐up scenarios, and calculates annual cost‐effectiveness.MethodsThe tool was codeveloped by teams of policymakers, clinicians, and public health advocates in Zimbabwe, Zambia, and Uganda. The 11 costing categories included real‐world data, modeled data, and data from the literature. A base‐case and three 5‐year scale‐up scenarios were created using modifiable inputs. The cost‐effectiveness of the disability‐adjusted life years averted was calculated. Results were compared with each country’s projected gross domestic product per capita for 2022 through 2026.ResultsThe number of patients/total budget for year 1 was 250/$1,109,366 for Zimbabwe, 280/$1,207,555 for Zambia, and 1000/$2,277,397 for Uganda. In year 5, these values were assumed to increase to 398/$5,545,445, 446/$4,926,150, and 1594/$9,059,331, respectively. Base‐case cost per disability‐adjusted life year averted/ratio to gross domestic product per capita for year 1, assuming 20% survival, was: $807/0.5 for Zimbabwe, $785/0.7 for Zambia, and $420/0.5 for Uganda.ConclusionsThis costing tool provided a framework to forecast a budget for childhood‐specific cancer services. By leveraging minimal primary data collection with existing secondary data, local teams obtained rapid results, ensuring that childhood cancer budgeting is not neglected once in every 5 to 6 years of planning processes.

Funder

American Lebanese Syrian Associated Charities

Publisher

Wiley

Subject

Cancer Research,Oncology

Reference33 articles.

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5. Political priority and pathways to scale-up of childhood cancer care in five nations

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