Using semi-Markov processes to study timeliness and tests used in the diagnostic evaluation of suspected breast cancer.

ABSTRACT: Diagnostic evaluation of suspected breast cancer due to abnormal screening mammography results is common, creates anxiety for women and is costly for the healthcare system. Timely evaluation with minimal use of additional diagnostic testing is key to minimizing anxiety and cost. In this paper, we propose a Bayesian semi-Markov model that allows for flexible, semi-parametric specification of the sojourn time distributions and apply our model to an investigation of the process of diagnostic evaluation with mammography, ultrasound and biopsy following an abnormal screening mammogram. We also investigate risk factors associated with the sojourn time between diagnostic tests. By utilizing semi-Markov processes, we expand on prior work that described the timing of the first test received by prov

SUBMITTER: Hubbard RA 

PROVIDER: S-EPMC5096962 | biostudies-literature | 2016 Nov

REPOSITORIES: biostudies-literature