Social network effects of nonlifesaving early-stage breast cancer detection on mammography rates.
Ontology highlight
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.
SUBMITTER: Nowak SA
PROVIDER: S-EPMC4232109 | biostudies-literature | 2014 Dec
REPOSITORIES: biostudies-literature
Publications
Social network effects of nonlifesaving early-stage breast cancer detection on mammography rates.
Nowak Sarah A SA Parker Andrew M AM
American journal of public health 20141016 12
<h4>Objectives</h4>We estimated the effect of anecdotes of early-stage, screen-detected cancer for which screening was not lifesaving on the demand for mammography.<h4>Methods</h4>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, wi ...[more]
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