A multimodal analysis of resource allocation across U.S. cancer registries

Abstract

This study assessed resource allocation among registry activities, which may provide insight for efficient collection of high-quality cancer incidence data. We used a multimodal approach and purposively sampled 21 participating population-based cancer registries in the United States to ensure variation across several registries. The registries reported prospective staffing data and retrospective costing data, completing data collection from October 2021 to September 2022, reporting retrospective costing data for July 1, 2020, through June 30, 2021. From lessons learned from prior studies, we engaged participating registries early and throughout the study, ensuring the collection of meaningful, accurate quantitative data, as well as insights not captured quantitatively. Case volume is a major driver of registry costs. (On average, high-volume registries outspend low-volume registries by nearly 3x, annually). Upon examination of registry activities by case volume, we found that the two most resource-intensive registry activities are data acquisition and data processing, which may be addressed by innovations, such as electronic reporting and automation. Innovative data transfer and processing approaches could increase timeliness of data collection and reduce the labor resources required to process manually collected data. Registries adopting these innovations might achieve cost savings, which could make resources available to support other registry activities.