Rafael J Vargas Alves1, Ana P Beck da Silva Etges2, Giácomo Balbinotto Neto3, Carisi Anne Polanczyk4. 1. Graduate Program of Epidemiology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil. Electronic address: vargasrja@gmail.com. 2. Department of Industrial Engineering, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil; National Institute for Health Technology Assessment - IATS/CNPq, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil. 3. Graduate Program of Economy, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil; National Institute for Health Technology Assessment - IATS/CNPq, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil. 4. National Institute for Health Technology Assessment - IATS/CNPq, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil.
Abstract
BACKGROUND: A review of the literature on economic analyses in cancer (prevention, diagnosis, and treatment) using activity-based costing (ABC) or time-driven activity-based costing (TDABC) for measuring costs and to examine how these approaches have been applied to assess and manage cancer costs. METHODS: This review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. We conducted a search for studies that used ABC or TDABC to calculate the cost of cancer in prevention, diagnosis, and treatment. Only English- and Portuguese-language articles were retrieved from Medline, Lilacs, ScieLO, and Embase (January 1990 to August 2016). RESULTS: In total, 421 studies were evaluated. However, only 27 papers were included. The first publications were from the early 2000s, but most of the studies were published in 2016 (n = 10). Most of the studies were carried out in the United States (n = 6) and Belgium (n = 6). Cancer treatment was the major focus of all studies (n = 20), followed by screening programs evaluations (n = 4) and diagnosis (n = 3). Among treatment modalities, economic analysis of radiotherapy was the most common topic of study. Retrospective clinical data represented 57.6% of the studies. More than 50% of the studies presented unspecified economic analysis. The hospital perspective was the most prevalent perspective among the studies (46.1%). CONCLUSIONS: ABC and TDABC economic analyses are a promising area of studies in oncology costs.
BACKGROUND: A review of the literature on economic analyses in cancer (prevention, diagnosis, and treatment) using activity-based costing (ABC) or time-driven activity-based costing (TDABC) for measuring costs and to examine how these approaches have been applied to assess and manage cancer costs. METHODS: This review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. We conducted a search for studies that used ABC or TDABC to calculate the cost of cancer in prevention, diagnosis, and treatment. Only English- and Portuguese-language articles were retrieved from Medline, Lilacs, ScieLO, and Embase (January 1990 to August 2016). RESULTS: In total, 421 studies were evaluated. However, only 27 papers were included. The first publications were from the early 2000s, but most of the studies were published in 2016 (n = 10). Most of the studies were carried out in the United States (n = 6) and Belgium (n = 6). Cancer treatment was the major focus of all studies (n = 20), followed by screening programs evaluations (n = 4) and diagnosis (n = 3). Among treatment modalities, economic analysis of radiotherapy was the most common topic of study. Retrospective clinical data represented 57.6% of the studies. More than 50% of the studies presented unspecified economic analysis. The hospital perspective was the most prevalent perspective among the studies (46.1%). CONCLUSIONS: ABC and TDABC economic analyses are a promising area of studies in oncology costs.
Authors: Cassia Rita Pereira da Veiga; Claudimar Pereira da Veiga; Alceu Souza; Alberto Julius Alves Wainstein; Andreia Cristina de Melo; Ana Paula Drummond-Lage Journal: BMC Health Serv Res Date: 2021-03-29 Impact factor: 2.655
Authors: Emanuela Foglia; Lucrezia Ferrario; Fabrizio Schettini; M Beatrice Pagani; Martina Dalla Bona; Emanuele Porazzi Journal: BMC Health Serv Res Date: 2022-08-04 Impact factor: 2.908