RESUMO
The Centers for Disease Control and Prevention initiated an economic analysis of the National Program of Cancer Registries (NPCR) in 2005 to estimate the true economic costs of operating a cancer registry, identify costs associated with registry activities, and evaluate the factors that may affect the efficiency of registry operations. We developed a Web-based NPCR cost assessment tool (NPCR-CAT) to collect activity-based cost data from all 48 NPCR registries. We collected data on registry funding, actual expenditures, and factors that may affect the efficiency of operating a central cancer registry. Key lessons learned during data collection and analysis include the importance of working closely with registry staff and balancing the need for standardized data elements with an understanding of individual registry characteristics. Our findings and lessons can be adapted to develop costing tools for other surveillance systems and cancer control programs, both domestically and internationally.
Assuntos
Coleta de Dados/métodos , Programas Governamentais/economia , Neoplasias/economia , Desenvolvimento de Programas/economia , Sistema de Registros , Centers for Disease Control and Prevention, U.S. , Análise Custo-Benefício , Custos e Análise de Custo , Coleta de Dados/economia , Humanos , Neoplasias/epidemiologia , Desenvolvimento de Programas/métodos , Estados Unidos/epidemiologiaRESUMO
BACKGROUND: Cancer registration data is vital for creating evidence-based policies and interventions. Quantifying the resources needed for cancer registration activities and identifying potential efficiencies are critically important to ensure sustainability of cancer registry operations. METHODS: Using a previously validated web-based cost assessment tool, we collected activity-based cost data and report findings using 3 years of data from 40 National Program of Cancer Registry grantees. We stratified registries by volume: low-volume included fewer than 10,000 cases, medium-volume included 10,000-50,000 cases, and high-volume included >50,000 cases. RESULTS: Low-volume cancer registries incurred an average of $93.11 to report a case (without in-kind contributions) compared with $27.70 incurred by high-volume registries. Across all registries, the highest cost per case was incurred for data collection and abstraction ($8.33), management ($6.86), and administration ($4.99). Low- and medium-volume registries have higher costs than high-volume registries for all key activities. CONCLUSIONS: Some cost differences by volume can be explained by the large fixed costs required for administering and performing registration activities, but other reasons may include the quality of the data initially submitted to the registries from reporting sources such as hospitals and pathology laboratories. Automation or efficiency improvements in data collection can potentially reduce overall costs.
Assuntos
Coleta de Dados/economia , Neoplasias/epidemiologia , Sistema de Registros/estatística & dados numéricos , Pesquisa sobre Serviços de Saúde , Humanos , Internet , Estados Unidos/epidemiologiaRESUMO
CONTEXT: The Centers for Disease Control and Prevention (CDC) evaluated the economics of the National Program of Cancer Registries to provide the CDC, the registries, and policy makers with the economics evidence-base to make optimal decisions about resource allocation. Cancer registry budgets are under increasing threat, and, therefore, systematic assessment of the cost will identify approaches to improve the efficiencies of this vital data collection operation and also justify the funding required to sustain registry operations. OBJECTIVES: To estimate the cost of cancer registry operations and to assess the factors affecting the cost per case reported by National Program of Cancer Registries-funded central cancer registries. METHODS: We developed a Web-based cost assessment tool to collect 3 years of data (2009-2011) from each National Program of Cancer Registries-funded registry for all actual expenditures for registry activities (including those funded by other sources) and factors affecting registry operations. We used a random-effects regression model to estimate the impact of various factors on cost per cancer case reported. RESULTS: The cost of reporting a cancer case varied across the registries. Central cancer registries that receive high-quality data from reporting sources (as measured by the percentage of records passing automatic edits) and electronic data submissions, and those that collect and report on a large volume of cases had significantly lower cost per case. The volume of cases reported had a large effect, with low-volume registries experiencing much higher cost per case than medium- or high-volume registries. CONCLUSIONS: Our results suggest that registries operate with substantial fixed or semivariable costs. Therefore, sharing fixed costs among low-volume contiguous state registries, whenever possible, and centralization of certain processes can result in economies of scale. Approaches to improve quality of data submitted and increasing electronic reporting can also reduce cost.