Sarah A Nowak1, Andrew M Parker. 1. Sarah A. Nowak is with the RAND Corporation, Engineering and Applied Sciences, Santa Monica, CA. Andrew M. Parker is with the RAND Corporation, Behavioral and Policy Sciences, Pittsburgh, PA.
Abstract
OBJECTIVES: We estimated the effect of anecdotes of early-stage, screen-detected cancer for which screening was not lifesaving on the demand for mammography. METHODS: We constructed an agent-based model of mammography decisions, in which 10 000 agents that represent women aged 40 to 100 years were linked together on a social network, which was parameterized with a survey of 716 women conducted through the RAND American Life Panel. Our model represents a population in equilibrium, with demographics reflecting the current US population based on the most recent available census data. RESULTS: The aggregate effect of women learning about 1 category of cancers-those that would be detected but would not be lethal in the absence of screening-was a 13.8 percentage point increase in annual screening rates. CONCLUSIONS: Anecdotes of detection of early-stage cancers relayed through social networks may substantially increase demand for a screening test even when the detection through screening was nonlifesaving.
OBJECTIVES: We estimated the effect of anecdotes of early-stage, screen-detected cancer for which screening was not lifesaving on the demand for mammography. METHODS: We constructed an agent-based model of mammography decisions, in which 10 000 agents that represent women aged 40 to 100 years were linked together on a social network, which was parameterized with a survey of 716 women conducted through the RAND American Life Panel. Our model represents a population in equilibrium, with demographics reflecting the current US population based on the most recent available census data. RESULTS: The aggregate effect of women learning about 1 category of cancers-those that would be detected but would not be lethal in the absence of screening-was a 13.8 percentage point increase in annual screening rates. CONCLUSIONS: Anecdotes of detection of early-stage cancers relayed through social networks may substantially increase demand for a screening test even when the detection through screening was nonlifesaving.
Authors: J Hsia; E Kemper; C Kiefe; J Zapka; S Sofaer; M Pettinger; D Bowen; M Limacher; L Lillington; E Mason Journal: Prev Med Date: 2000-09 Impact factor: 4.018
Authors: Roman Gulati; Elisabeth M Wever; Alex Tsodikov; David F Penson; Lurdes Y T Inoue; Jeffrey Katcher; Shih-Yuan Lee; Eveline A M Heijnsdijk; Gerrit Draisma; Harry J de Koning; Ruth Etzioni Journal: Cancer Epidemiol Biomarkers Prev Date: 2011-05 Impact factor: 4.254
Authors: Rebecca A Hubbard; Eric Johnson; Raymond Hsia; Carolyn M Rutter Journal: Cancer Epidemiol Biomarkers Prev Date: 2013-07-18 Impact factor: 4.254
Authors: Aditya S Khanna; Bryan Brickman; Michael Cronin; Nyahne Q Bergeron; John R Scheel; Joseph Hibdon; Elizabeth A Calhoun; Karriem S Watson; Shaila M Strayhorn; Yamilé Molina Journal: J Urban Health Date: 2022-08-08 Impact factor: 5.801