title: Multistate transitional models for measuring adherence to breast cancer screening: A population-based longitudinal cohort study with over two million women.
abstract: Objective Prior work on the disparities among women in breast cancer screening adherence has been methodologically limited. This longitudinal study determines and examines the factors associated with becoming adherent. Methods In a cohort of Canadian women aged 50-74, a three-state transitional model was used to examine adherence to screening for breast cancer. The proportion of time spent being non-adherent with screening was calculated for each woman during her observation window. Using age as the time scale, a relative rate multivariable regression was implemented under the three-state transitional model, to examine the association between covariates (all time-varying) and the rate of becoming adherent. Results The cohort consisted of 2,537,960 women with a median follow-up of 8.46 years. Nearly 31% of women were continually up-to-date with breast screening. Once a woman was non-adherent, the rate of becoming adherent was higher among longer term residents (relative rate = 1.289, 95% confidence interval 1.275-1.302), those from wealthier neighbourhoods, and those who had an identifiable primary care provider who was female or had graduated in Canada. Conclusion Individual and physician-level characteristics play an important role in a woman's adherence to screening. This work improves the quality of evidence regarding disparities among women in adherence to breast cancer screening and provides a novel methodological foundation to investigate adherence for other types of screening, including cervix and colorectal cancer screening.
authors.affiliation: 1 Institute for Clinical Evaluative Sciences, Toronto, Canada.|2 Institute for Health Policy, Management, and Evaluation, University of Toronto, Canada.|3 Department of Biostatistics, Dalla Lana School of Public Health, University of Toronto, Canada.
authors.forename: R
authors.initials: R
authors.lastname: Sutradhar
authors.affiliation: 1 Institute for Clinical Evaluative Sciences, Toronto, Canada.
authors.forename: S
authors.initials: S
authors.lastname: Gu
authors.affiliation: 1 Institute for Clinical Evaluative Sciences, Toronto, Canada.|2 Institute for Health Policy, Management, and Evaluation, University of Toronto, Canada.|4 Sunnybrook Research Institute, Toronto, Canada.
authors.forename: L F
authors.initials: LF
authors.lastname: Paszat
mesh_terms: D000368:Aged; D001943:Breast Neoplasms / Q000175:diagnosis*; D016208:Databases, Factual; D055088:Early Detection of Cancer / Q000379:methods*; D005260:Female; D005500:Follow-Up Studies; D006801:Humans; D008137:Longitudinal Studies; D008390:Markov Chains; D008403:Mass Screening / Q000379:methods; D008408:Mastectomy; D008875:Middle Aged; D015999:Multivariate Analysis; D009864:Ontario; D010349:Patient Compliance; D012044:Regression Analysis; D012107:Research Design; D012189:Retrospective Studies
keywords: Breast cancer screening; adherent; multistate transitional model; relative rate; time-varying covariates