Esther de Vries1, Constanza Pardo2, Nelson Arias3, Luis Eduardo Bravo4, Edgar Navarro5, Claudia Uribe6, María Clara Yepez7, Daniel Jurado7, Luz Stella Garci4, Marion Piñeros8, Patrick Edwards9, Maggie Cole Beebe9, Florence Tangka10, Sujha Subramanian9. 1. Cancer Surveillance Group, Instituto Nacional de Cancerología, Bogotá, Colombia; Department of Clinical Epidemiology and Biostatistics, Pontificia Universidad Javeriana, Bogotá, Colombia. 2. Cancer Surveillance Group, Instituto Nacional de Cancerología, Bogotá, Colombia. 3. Manizales Cancer Registry, Universidad de Caldas, Manizales, Colombia. 4. Cali Cancer Registry, Universidad del Valle, Cali, Colombia. 5. Barranquilla Cancer Registry, Universidad del Norte, Barranquilla, Colombia. 6. Metropolitan Area of Bucaramanga Cancer Registry, Universidad Autónoma de Bucaramanga, Floridablanca, Colombia. 7. Pasto Cancer Registry, Universidad de Nariño, Pasto, Colombia. 8. Cancer Surveillance Section, International Agency for Research on Cancer (IARC), Lyon, France. 9. RTI International, Research Triangle Park, NC, USA. 10. Centers for Disease Control and Prevention, DCPC, 4770 Buford Highway, NE, Mailstop K-76, Atlanta, GA, USA. Electronic address: fbt9@cdc.gov.
Abstract
BACKGROUND: Maintaining population-based registries requires adequate and sustained resources; however, to date there has been no systematic evaluation to identify the resource needs for cancer registration in most countries, including Colombia. A systematic assessment of the costs can quantify the funding required and identify processes to improve efficiency of cancer registries. METHODS: The Centers for Disease Control and Prevention's (CDC's) International Registry Costing Tool (IntRegCosting Tool) was tailored specifically for the Colombian registries and was used to collect resource use data from five regional population-based cancer registries: Barranquilla, Bucaramanga, Cali, Manizales, and Pasto. The registries provided cost data for the year 2013 and cancer cases corresponding to the year 2010. RESULTS: We identified an almost threefold variation in the average cost per case (77,932 to 214,082 Colombian pesos or US $41 to US $113 in 2013) across the registries, but there were also substantial differences in data collection approaches, types of data collected, and activities performed. Cost per inhabitant varied between 95 and 415 Colombian pesos (US $0.05 to US $0.22). Between 20% and 45% of the total cost was due to fixed cost activities. CONCLUSIONS: The detailed economic information presented in this study constitutes a valuable source of activity-based cost data that registries can use to compare operations, assess key factors that lead to differences in cost per case, and identify potential approaches to improve efficiencies. Furthermore, the knowledge gained from studying the Colombian registries can help inform the planning and operations of other registries in the region. Published by Elsevier Ltd.
BACKGROUND: Maintaining population-based registries requires adequate and sustained resources; however, to date there has been no systematic evaluation to identify the resource needs for cancer registration in most countries, including Colombia. A systematic assessment of the costs can quantify the funding required and identify processes to improve efficiency of cancer registries. METHODS: The Centers for Disease Control and Prevention's (CDC's) International Registry Costing Tool (IntRegCosting Tool) was tailored specifically for the Colombian registries and was used to collect resource use data from five regional population-based cancer registries: Barranquilla, Bucaramanga, Cali, Manizales, and Pasto. The registries provided cost data for the year 2013 and cancer cases corresponding to the year 2010. RESULTS: We identified an almost threefold variation in the average cost per case (77,932 to 214,082 Colombian pesos or US $41 to US $113 in 2013) across the registries, but there were also substantial differences in data collection approaches, types of data collected, and activities performed. Cost per inhabitant varied between 95 and 415 Colombian pesos (US $0.05 to US $0.22). Between 20% and 45% of the total cost was due to fixed cost activities. CONCLUSIONS: The detailed economic information presented in this study constitutes a valuable source of activity-based cost data that registries can use to compare operations, assess key factors that lead to differences in cost per case, and identify potential approaches to improve efficiencies. Furthermore, the knowledge gained from studying the Colombian registries can help inform the planning and operations of other registries in the region. Published by Elsevier Ltd.
Entities:
Keywords:
Cancer registry; Colombia; Cost; Evaluation
Authors: R Zanetti; L Sacchetto; M Calvia; A Bordoni; T Hakulinen; A Znaor; H Møller; S Siesling; H Comber; A Katalinic; S Rosso Journal: J Registry Manag Date: 2014
Authors: Florence K L Tangka; Sujha Subramanian; Patrick Edwards; Maggie Cole-Beebe; D Maxwell Parkin; Freddie Bray; Rachael Joseph; Les Mery; Mona Saraiya Journal: Cancer Epidemiol Date: 2016-10-25 Impact factor: 2.984
Authors: Constanza Pardo; Luis Eduardo Bravo; Claudia Uribe; Guillermo Lopez; Maria Clara Yepez; Edgar Navarro; Esther de Vries; Marion Pineros Journal: J Registry Manag Date: 2014
Authors: Florence K L Tangka; Sujha Subramanian; Maggie Cole Beebe; Hannah K Weir; Diana Trebino; Frances Babcock; Jean Ewing Journal: J Public Health Manag Pract Date: 2016 Sep-Oct
Authors: Laura N Purcell; Emily Nip; Jared Gallaher; Carlos Varela; Yotamu Gondwe; Anthony Charles Journal: Injury Date: 2020-05-11 Impact factor: 2.586
Authors: Luis G Parra-Lara; Diana M Mendoza-Urbano; Ángela R Zambrano; Andrea Valencia-Orozco; Juan C Bravo-Ocaña; Luis E Bravo-Ocaña; Fernando Rosso Journal: Cancer Causes Control Date: 2022-01-11 Impact factor: 2.506
Authors: Wilfred Ngwa; Beatrice W Addai; Isaac Adewole; Victoria Ainsworth; James Alaro; Olusegun I Alatise; Zipporah Ali; Benjamin O Anderson; Rose Anorlu; Stephen Avery; Prebo Barango; Noella Bih; Christopher M Booth; Otis W Brawley; Jean-Marie Dangou; Lynette Denny; Jennifer Dent; Shekinah N C Elmore; Ahmed Elzawawy; Diane Gashumba; Jennifer Geel; Katy Graef; Sumit Gupta; Serigne-Magueye Gueye; Nazik Hammad; Laila Hessissen; Andre M Ilbawi; Joyce Kambugu; Zisis Kozlakidis; Simon Manga; Lize Maree; Sulma I Mohammed; Susan Msadabwe; Miriam Mutebi; Annet Nakaganda; Ntokozo Ndlovu; Kingsley Ndoh; Jerry Ndumbalo; Mamsau Ngoma; Twalib Ngoma; Christian Ntizimira; Timothy R Rebbeck; Lorna Renner; Anya Romanoff; Fidel Rubagumya; Shahin Sayed; Shivani Sud; Hannah Simonds; Richard Sullivan; William Swanson; Verna Vanderpuye; Boateng Wiafe; David Kerr Journal: Lancet Oncol Date: 2022-05-09 Impact factor: 54.433
Authors: Anna J Dare; Gregory C Knapp; Anya Romanoff; Olalekan Olasehinde; Olusola C Famurewa; Akinwumi O Komolafe; Samuel Olatoke; Aba Katung; Olusegun I Alatise; T Peter Kingham Journal: Cancer Prev Res (Phila) Date: 2021-09-10
Authors: Armando Sardi; Mavalynne Orozco-Urdaneta; Carolina Velez-Mejia; Andres H Perez-Bustos; Carlos Munoz-Zuluaga; Farah El-Sharkawy; Luis Gabriel Parra-Lara; Patricia Córdoba; David Gallo; Michelle Sittig; Mary Caitlin King; Carol Nieroda; Katherin Zambrano-Vera; John Singer Journal: J Glob Oncol Date: 2019-07