{"doi":"10.1002/cncr.35146","title":"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","abstract":"BACKGROUND: National 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. METHODS: The 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. RESULTS: The 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. CONCLUSIONS: This 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.","journal":"Cancer","year":2023,"id":384091,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":2,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.7578,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2023-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1151751,"name":"Nester Chokwenda‐Makore","orcid":null,"position":1,"is_corresponding":false},{"id":1151371,"name":"Miguel Bonilla","orcid":"0000-0002-9567-6286","position":2,"is_corresponding":false},{"id":1151752,"name":"Grace Chingo","orcid":null,"position":3,"is_corresponding":false},{"id":1151372,"name":"Joyce Kambugu","orcid":"0000-0003-2546-1068","position":4,"is_corresponding":false},{"id":922219,"name":"Justin Mulindwa","orcid":null,"position":5,"is_corresponding":false},{"id":1151753,"name":"Mugisha Noleb","orcid":null,"position":6,"is_corresponding":false},{"id":1151373,"name":"Inam Chitsike","orcid":"0000-0002-9837-8372","position":7,"is_corresponding":false},{"id":255614,"name":"Nickhill Bhakta","orcid":"0000-0001-5282-7833","position":8,"is_corresponding":false},{"id":1092686,"name":"Nancy S. Bolous","orcid":"0000-0001-6619-5291","position":0,"is_corresponding":true}],"reference_count":23,"raw_metadata":null,"created_at":"2026-07-19T01:17:33.041385Z","pmid":"38100617","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}