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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
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1 to 3 of 3 Research Studies DisplayedMarcotte LM, Deeds S, Wheat C
Automated opt-out vs opt-in patient outreach strategies for breast cancer screening: a randomized clinical trial.
The objective of this study was to evaluate the effect on breast cancer screening of an opt-out automatic mammography referral strategy compared with an opt-in automated telephone message strategy. Participants in the pragmatic randomized clinical trial, conducted at a Veterans Affairs (VA) medical center, were female veterans aged 45-75 eligible for breast cancer screening and enrolled in VA primary care. The results indicated that the opt-out population-based breast cancer screening outreach approach compared with an opt-in approach did not result in a significant difference in mammography completion, but did lead to more canceled mammography referrals, which increased staff burden.
AHRQ-funded; HS026369.
Citation: Marcotte LM, Deeds S, Wheat C .
Automated opt-out vs opt-in patient outreach strategies for breast cancer screening: a randomized clinical trial.
JAMA Intern Med 2023 Nov; 183(11):1187-94. doi: 10.1001/jamainternmed.2023.4321..
Keywords: Cancer: Breast Cancer, Cancer, Screening, Prevention, Health Promotion
Lee CI, Abraham L, Miglioretti DL
National performance benchmarks for screening digital breast tomosynthesis: update from the Breast Cancer Surveillance Consortium.
The purpose of this study was to develop performance benchmarks for digital breast tomosynthesis (DBT) screening and assess longitudinal performance patterns in United States community practice. Between 2011 and 2018 the researchers collected DBT screening examinations from five Breast Cancer Surveillance Consortium (BCSC) registries. Measures of performance were calculated based on the American College of Radiology Breast Imaging Reporting and Data System, fifth edition and included abnormal interpretation rate (AIR), cancer detection rate (CDR), sensitivity, specificity, and false-negative rate (FNR). These rates were compared with previously published BCSC and National Mammography Database benchmarks, concurrent BCSC DM screening examinations, and expert opinion acceptable performance ranges. The study included a total of 896,101 women undergoing 2,301,766 screening examinations and 1,843,591 DM examinations were included in this study. All performance measures were higher for DBT except sensitivity and FNR, when compared with BCSC DM screening examinations from the same time period and previously published BCSC and National Mammography Database performance benchmarks. The following rates of radiologists received acceptable performance ranges with DBT: 97.6% for CDR, 91.8% for sensitivity, 75.0% for AIR, and 74.0% for specificity.
AHRQ-funded; HS018366.
Citation: Lee CI, Abraham L, Miglioretti DL .
National performance benchmarks for screening digital breast tomosynthesis: update from the Breast Cancer Surveillance Consortium.
Radiology 2023 May; 307(4):e222499. doi: 10.1148/radiol.222499..
Keywords: Cancer: Breast Cancer, Cancer, Screening, Imaging, Prevention, Women
Ho TH, Bissell MCS, Lee CI
Prioritizing screening mammograms for immediate interpretation and diagnostic evaluation on the basis of risk for recall.
The purpose of this study was to establish a prioritization method for immediate interpretation of screening mammograms and potential diagnostic assessment. A cohort based on the population, comprising screening mammograms conducted from 2012 to 2020 at 126 radiology centers from 7 Breast Cancer Surveillance Consortium registries, was examined. Classification trees were used to identify combinations of clinical history (age, BI-RADS density, time elapsed since the previous mammogram, history of false-positive recall or biopsy outcome), screening technique (digital mammography, digital breast tomosynthesis), and facility features (profit status, location, screening volume, practice type, academic affiliation) that grouped screening mammograms by recall rate, with ≥12/100 classified as high and ≥16/100 as very high. The efficiency ratio was calculated as the percentage of recalls divided by the percentage of mammograms. The research cohort consisted of 2,674,051 screening mammograms in 925,777 women, with 235,569 recalls. The study found that the primary predictor of recall was the time interval since the last mammogram, followed by age, history of false-positive recall, breast density, history of benign biopsy, and screening method. Recall rates were extremely high for baseline mammograms and high for women with ≥5 years since their previous mammogram. The 9.2% of mammograms in subgroups with very high and high recall rates represented 19.2% of recalls, yielding an efficiency ratio of 2.1 compared to a random strategy. Including women under 50 with dense breasts accounted for 20.3% of mammograms and 33.9% of recalls (efficiency ratio = 1.7). Findings incorporating facility-level characteristics were analogous.
AHRQ-funded; HS018366
Citation: Ho TH, Bissell MCS, Lee CI .
Prioritizing screening mammograms for immediate interpretation and diagnostic evaluation on the basis of risk for recall.
J Am Coll Radiol 2023 Mar;20(3):299-310. doi: 10.1016/j.jacr.2022.09.030.
Keywords: Cancer: Breast Cancer, Cancer, Screening, Imaging, Women, Prevention, Diagnostic Safety and Quality