Improving Utilization of Supplemental Breast MRI Screening for Women With Extremely Dense Breasts
Study Details
Study Description
Brief Summary
The goal of this study is to increase MRI utilization among women with extremely dense breasts. The main question it seeks to answer is whether nudging of the provider, patient, or both increases the uptake of MRI among this group, and whether this effect differs between Black and White women.
Condition or Disease | Intervention/Treatment | Phase |
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|
N/A |
Detailed Description
Women with dense breasts have 3-5-fold increased risk for breast cancer as women without dense breasts. Dense breast tissue can "mask" small tumors, leading to reduced mammography sensitivity. Recent randomized controlled trials demonstrate that supplemental breast MRI screening improves detection of small, invasive cancers that are not detected by mammography. In January 2022, a Pennsylvania law went into effect mandating insurance coverage of supplemental screening for women with extremely dense breasts. Currently only a small fraction (<8%) of eligible women with extremely dense breasts at Penn Medicine are receiving supplemental breast MRI screening. Clinical pathways to identify patients who are eligible for insurance coverage of supplemental breast MRI screening and communicate this option to patients and providers are needed to ensure equitable access to supplemental screening. This study therefore proposes a multilevel randomized 2x2 factorial pilot trial to determine whether electronic health record (EHR) and secure text message nudges increase utilization of supplemental breast MRI screening among eligible women with extremely dense breasts.
Study Design
Arms and Interventions
Arm | Intervention/Treatment |
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No Intervention: Usual care (no nudge) Usual standard of care, no nudging. |
|
Experimental: Provider nudge only Nudge sent to provider through EHR. |
Behavioral: Provider nudge
Nudge directed to the provider with the aim of increasing ordering of MRI in patients with extremely dense breasts
|
Experimental: Patient nudge only Nudge sent to the patient through text messaging. |
Behavioral: Patient nudge
Nudge directed to the patient with the aim of increasing the uptake of MRI in patients with extremely dense breasts
|
Experimental: Patient and provider nudge Nudge sent to both provider through EHR, and to patient through text messaging. |
Behavioral: Patient nudge
Nudge directed to the patient with the aim of increasing the uptake of MRI in patients with extremely dense breasts
Behavioral: Provider nudge
Nudge directed to the provider with the aim of increasing ordering of MRI in patients with extremely dense breasts
|
Outcome Measures
Primary Outcome Measures
- Number of women who schedule an MRI [6 months]
Whether a woman schedules supplemental breast MRI screening within 6 months of the nudge.
- Number of women who undergo an MRI [6 months]
Whether a woman receives supplemental breast MRI screening within 6 months of the nudge.
Secondary Outcome Measures
- Cancer detection rate [12 months]
Cancer detection rate among those women who schedule and undergo MRI
- False-positive rate [12 months]
False-positive rate among those women who schedule and undergo MRI
Eligibility Criteria
Criteria
Patient participants:
Inclusion Criteria:
-
Women aged 40-74
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Recent negative mammogram of less than 6 months
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Mammogram performed at Penn Medicine
Exclusion Criteria:
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Prior history of breast cancer
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No breast MRI within the past 2 years
Provider participants:
Inclusion Criteria:
- Provider needs to have ordered the screening mammogram
Exclusion Criteria:
- Not employed by Penn Health System and no access to Penn Chart
Contacts and Locations
Locations
No locations specified.Sponsors and Collaborators
- University of Pennsylvania
Investigators
- Principal Investigator: Anne Marie McCarthy, PhD, University of Pennsylvania
Study Documents (Full-Text)
None provided.More Information
Publications
- Bond-Smith D, Stone J. Methodological Challenges and Updated Findings from a Meta-analysis of the Association between Mammographic Density and Breast Cancer. Cancer Epidemiol Biomarkers Prev. 2019 Jan;28(1):22-31. doi: 10.1158/1055-9965.EPI-17-1175. Epub 2018 Sep 11.
- Comstock CE, Gatsonis C, Newstead GM, Snyder BS, Gareen IF, Bergin JT, Rahbar H, Sung JS, Jacobs C, Harvey JA, Nicholson MH, Ward RC, Holt J, Prather A, Miller KD, Schnall MD, Kuhl CK. Comparison of Abbreviated Breast MRI vs Digital Breast Tomosynthesis for Breast Cancer Detection Among Women With Dense Breasts Undergoing Screening. JAMA. 2020 Feb 25;323(8):746-756. doi: 10.1001/jama.2020.0572. Erratum In: JAMA. 2020 Mar 24;323(12):1194.
- Expert Panel on Breast Imaging; Weinstein SP, Slanetz PJ, Lewin AA, Battaglia T, Chagpar AB, Dayaratna S, Dibble EH, Goel MS, Hayward JH, Kubicky CD, Le-Petross HT, Newell MS, Sanford MF, Scheel JR, Vincoff NS, Yao K, Moy L. ACR Appropriateness Criteria(R) Supplemental Breast Cancer Screening Based on Breast Density. J Am Coll Radiol. 2021 Nov;18(11S):S456-S473. doi: 10.1016/j.jacr.2021.09.002.
- Jenssen BP, Schnoll R, Beidas R, Bekelman J, Bauer AM, Scott C, Evers-Casey S, Nicoloso J, Gabriel P, Asch DA, Buttenheim A, Chen J, Melo J, Shulman LN, Clifton ABW, Lieberman A, Salam T, Zentgraf K, Rendle KA, Chaiyachati K, Shelton R, Wileyto EP, Ware S, Leone F. Rationale and protocol for a cluster randomized pragmatic clinical trial testing behavioral economic implementation strategies to improve tobacco treatment rates for cancer patients who smoke. Implement Sci. 2021 Jul 15;16(1):72. doi: 10.1186/s13012-021-01139-7.
- Monsees BS. The Mammography Quality Standards Act. An overview of the regulations and guidance. Radiol Clin North Am. 2000 Jul;38(4):759-72. doi: 10.1016/s0033-8389(05)70199-8.
- Niraula S, Biswanger N, Hu P, Lambert P, Decker K. Incidence, Characteristics, and Outcomes of Interval Breast Cancers Compared With Screening-Detected Breast Cancers. JAMA Netw Open. 2020 Sep 1;3(9):e2018179. doi: 10.1001/jamanetworkopen.2020.18179.
- Patel MS, Kurtzman GW, Kannan S, Small DS, Morris A, Honeywell S Jr, Leri D, Rareshide CAL, Day SC, Mahoney KB, Volpp KG, Asch DA. Effect of an Automated Patient Dashboard Using Active Choice and Peer Comparison Performance Feedback to Physicians on Statin Prescribing: The PRESCRIBE Cluster Randomized Clinical Trial. JAMA Netw Open. 2018 Jul 6;1(3):e180818. doi: 10.1001/jamanetworkopen.2018.0818.
- Pettersson A, Graff RE, Ursin G, Santos Silva ID, McCormack V, Baglietto L, Vachon C, Bakker MF, Giles GG, Chia KS, Czene K, Eriksson L, Hall P, Hartman M, Warren RM, Hislop G, Chiarelli AM, Hopper JL, Krishnan K, Li J, Li Q, Pagano I, Rosner BA, Wong CS, Scott C, Stone J, Maskarinec G, Boyd NF, van Gils CH, Tamimi RM. Mammographic density phenotypes and risk of breast cancer: a meta-analysis. J Natl Cancer Inst. 2014 May 10;106(5):dju078. doi: 10.1093/jnci/dju078.
- Sedrak MS, Myers JS, Small DS, Nachamkin I, Ziemba JB, Murray D, Kurtzman GW, Zhu J, Wang W, Mincarelli D, Danoski D, Wells BP, Berns JS, Brennan PJ, Hanson CW, Dine CJ, Patel MS. Effect of a Price Transparency Intervention in the Electronic Health Record on Clinician Ordering of Inpatient Laboratory Tests: The PRICE Randomized Clinical Trial. JAMA Intern Med. 2017 Jul 1;177(7):939-945. doi: 10.1001/jamainternmed.2017.1144.
- Takvorian SU, Bekelman J, Beidas RS, Schnoll R, Clifton ABW, Salam T, Gabriel P, Wileyto EP, Scott CA, Asch DA, Buttenheim AM, Rendle KA, Chaiyachati K, Shelton RC, Ware S, Chivers C, Schuchter LM, Kumar P, Shulman LN, O'Connor N, Lieberman A, Zentgraf K, Parikh RB. Behavioral economic implementation strategies to improve serious illness communication between clinicians and high-risk patients with cancer: protocol for a cluster randomized pragmatic trial. Implement Sci. 2021 Sep 25;16(1):90. doi: 10.1186/s13012-021-01156-6.
- Veenhuizen SGA, de Lange SV, Bakker MF, Pijnappel RM, Mann RM, Monninkhof EM, Emaus MJ, de Koekkoek-Doll PK, Bisschops RHC, Lobbes MBI, de Jong MDF, Duvivier KM, Veltman J, Karssemeijer N, de Koning HJ, van Diest PJ, Mali WPTM, van den Bosch MAAJ, van Gils CH, Veldhuis WB; DENSE Trial Study Group. Supplemental Breast MRI for Women with Extremely Dense Breasts: Results of the Second Screening Round of the DENSE Trial. Radiology. 2021 May;299(2):278-286. doi: 10.1148/radiol.2021203633. Epub 2021 Mar 16.
- Weinstein SP, Korhonen K, Cirelli C, Schnall MD, McDonald ES, Pantel AR, Zuckerman S, Borthakur A, Conant EF. Abbreviated Breast Magnetic Resonance Imaging for Supplemental Screening of Women With Dense Breasts and Average Risk. J Clin Oncol. 2020 Nov 20;38(33):3874-3882. doi: 10.1200/JCO.19.02198. Epub 2020 Sep 15.
- Wolf, Tom. "Insurance Company Law of 1921 - Coverage for Mammographic Examinations." The Office Website for the Pennsylvania General Assembly, Pennsylvania General Assembly, 2020, https://www.legis.state.pa.us/cfdocs/legis/li/uconsCheck.cfm?yr=2020&sessInd=0&act=52.
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