Enhancing Mammography Programs for Outreach, Wellness, Education, and Resources (EMPOWER) in Underserved Populations Study
NCT ID: NCT07029490
Last Updated: 2025-11-21
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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RECRUITING
NA
2700 participants
INTERVENTIONAL
2025-11-19
2028-09-30
Brief Summary
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Detailed Description
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Chatbots are increasingly popular in various healthcare contexts and can be easily accessed through smartphones, tablets, laptops, and desktops. Chatbots have many advantages for patient messaging, including providing scripted education and motivational information interactively, chunking information into digestible segments, and allowing for choice in the amount of information received at any one time. Thus, with chatbots this study can tailor the interaction based on individual patient factors. Chatbots are accessible to the vast majority of U.S. adults. While chatbots have been used successfully in some clinical contexts, there is a lack of studies that investigated the use of chatbots as part of a mobile screening program to increase adherence to follow-up recommendations about either screening or diagnostic care.
Study staff will approach women at the time of or soon after a patient's routine breast cancer screening and invite the patient to participate in the study. Participants will complete baseline surveys at time of enrollment. This survey includes demographics and preferred contact method (e.g., text, email) that will be used to initiate the chatbot communication which can be completed via phone or website. Usual clinical procedures will be used to interpret participants' routine screening mammograms, including the use of the breast imaging-reporting and data system (BI-RADS), typically within 1 week of imaging.
Based on their mammography results, women will be placed into two cohorts using their BI-RADS category.
All participants will complete follow-up questionnaires, available in English and Spanish. For the follow-up surveys, the research team will contact participants via their preferred method (text or email) and send a link to the follow-up survey. If unsuccessful, the research team will then contact participants by phone to complete the survey via text or call.
Once mammogram results are available, patients will be randomized 1:1 to either usual care or usual care with chatbot, with randomization in permuted blocks of size and stratified by age (\<55 vs. ≥55 years, a proxy for menopause and indicator of risk); rural/frontier vs. urban; language preference (English vs. Spanish); and cohort (normal vs. abnormal result).
This study will randomly invite participants from four groups for focus group discussions (FGDs) based on their mammogram results and adherence to screening recommendations. This study aim to conduct 8 FGDs (2 per group, one in Spanish and one in English) with 8-10 participants each.
Conditions
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Study Design
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RANDOMIZED
PARALLEL
HEALTH_SERVICES_RESEARCH
NONE
Study Groups
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Usual Care
Usual Care: This will include participants randomized to usual care.
No interventions assigned to this group
Chatbot
Chatbot: This will include participants randomized to usual care with the Chatbot.
Chatbot
The Chatbot used in this study will be used after mammography to facilitate follow-up, answer patient questions, and provide information.
Interventions
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Chatbot
The Chatbot used in this study will be used after mammography to facilitate follow-up, answer patient questions, and provide information.
Eligibility Criteria
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Inclusion Criteria
* English or Spanish speaking
* Visit a mammography program for routine screening.
Exclusion Criteria
* Patients who are not of 18 years of age.
* Patients who don't speak English or Spanish
* Men
* Cognitive limitations that impede informed consent
18 Years
FEMALE
Yes
Sponsors
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University of Utah
OTHER
American Cancer Society, Inc.
OTHER
Responsible Party
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Locations
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Huntsman Cancer Institute/ University of Utah
Salt Lake City, Utah, United States
Countries
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Central Contacts
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Facility Contacts
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References
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Cancer Stat Facts: Female Breast Cancer. https://seer.cancer.gov/statfacts/html/breast.html. Accessed Oct 11, 2021.
American Cancer Society. Cancer Facts & Figures for Hispancis/Latinos 2018-2020. Atlanta: American Cancer Society, Inc.;2018.
Death Rates for Selected Cancers by Race and Ethnicity, US, 2010-2014. 2016; https://www.cancer.org/content/dam/cancer-org/research/cancer-facts-and-statistics/annual-cancer-facts-and-figures/2017/death-rates-for-selected-cancers-by-race-and-ethnicity-us-2010-2014.pdf. Accessed Oct 11, 2021.
Henry KA, Sherman R, Farber S, Cockburn M, Goldberg DW, Stroup AM. The joint effects of census tract poverty and geographic access on late-stage breast cancer diagnosis in 10 US States. Health Place. 2013 May;21:110-21. doi: 10.1016/j.healthplace.2013.01.007. Epub 2013 Mar 1.
DeSantis CE, Ma J, Goding Sauer A, Newman LA, Jemal A. Breast cancer statistics, 2017, racial disparity in mortality by state. CA Cancer J Clin. 2017 Nov;67(6):439-448. doi: 10.3322/caac.21412. Epub 2017 Oct 3.
Doescher MP, Jackson JE. Trends in cervical and breast cancer screening practices among women in rural and urban areas of the United States. J Public Health Manag Pract. 2009 May-Jun;15(3):200-9. doi: 10.1097/PHH.0b013e3181a117da.
Roche LM, Niu X, Stroup AM, Henry KA. Disparities in Female Breast Cancer Stage at Diagnosis in New Jersey: A Spatial-Temporal Analysis. J Public Health Manag Pract. 2017 Sep/Oct;23(5):477-486. doi: 10.1097/PHH.0000000000000524.
Williams F, Jeanetta S, O'Brien DJ, Fresen JL. Rural-urban difference in female breast cancer diagnosis in Missouri. Rural Remote Health. 2015 Jul-Sep;15(3):3063. Epub 2015 Jul 29.
Bennett KJ, Pumkam C, Bellinger JD, Probst JC. Cancer screening delivery in persistent poverty rural counties. J Prim Care Community Health. 2011 Oct 1;2(4):240-9. doi: 10.1177/2150131911406123. Epub 2011 May 17.
Bennett KJ, Probst JC, Bellinger JD. Receipt of cancer screening services: surprising results for some rural minorities. J Rural Health. 2012 Jan;28(1):63-72. doi: 10.1111/j.1748-0361.2011.00365.x. Epub 2011 Mar 11.
Coughlin SS, Leadbetter S, Richards T, Sabatino SA. Contextual analysis of breast and cervical cancer screening and factors associated with health care access among United States women, 2002. Soc Sci Med. 2008 Jan;66(2):260-75. doi: 10.1016/j.socscimed.2007.09.009. Epub 2007 Nov 19.
Horner-Johnson W, Dobbertin K, Iezzoni LI. Disparities in receipt of breast and cervical cancer screening for rural women age 18 to 64 with disabilities. Womens Health Issues. 2015 May-Jun;25(3):246-53. doi: 10.1016/j.whi.2015.02.004. Epub 2015 Apr 9.
Leung J, McKenzie S, Martin J, McLaughlin D. Effect of rurality on screening for breast cancer: a systematic review and meta-analysis comparing mammography. Rural Remote Health. 2014;14(2):2730. Epub 2014 Jun 23.
Incidence Rates for Utah by County Breast (Late Stage), 2014-2018, All Races (includes Hispanic), Female, All Ages. https://statecancerprofiles.cancer.gov/map/map.withimage.php?49&county&001&055211&00&2&11&0&1&5&0#results. Accessed Oct 11, 2021.
Guillaume E, Launay L, Dejardin O, Bouvier V, Guittet L, Dean P, Notari A, De Mil R, Launoy G. Could mobile mammography reduce social and geographic inequalities in breast cancer screening participation? Prev Med. 2017 Jul;100:84-88. doi: 10.1016/j.ypmed.2017.04.006. Epub 2017 Apr 10.
Other Identifiers
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SPA-RFA-Team23-1001996-01-PASD
Identifier Type: OTHER_GRANT
Identifier Source: secondary_id
HCI185522
Identifier Type: -
Identifier Source: org_study_id
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