Effect of an Educational Intervention on Women’s Health Care Provider Knowledge Gaps About Breast Cancer Risk Model Use and High-risk Screening Recommendations
Abstract Objective To assess effectiveness of a web-based educational intervention on women’s health care provider knowledge of breast cancer risk models and high-risk screening recommendations. Methods A web-based pre- and post-test study including 177 U.S.-based women’s health care providers was c...
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| Veröffentlicht in: | Journal of breast imaging 2023-02, Vol.5 (1), p.30-39 |
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| creator | Seitzman, Robin L Pushkin, JoAnn Berg, Wendie A |
| description | Abstract
Objective
To assess effectiveness of a web-based educational intervention on women’s health care provider knowledge of breast cancer risk models and high-risk screening recommendations.
Methods
A web-based pre- and post-test study including 177 U.S.-based women’s health care providers was conducted in 2019. Knowledge gaps were defined as fewer than 75% of respondents answering correctly. Pre- and post-test knowledge differences (McNemar test) and associations of baseline characteristics with pre-test knowledge gaps (logistic regression) were evaluated.
Results
Respondents included 131/177 (74.0%) physicians; 127/177 (71.8%) practiced obstetrics/gynecology. Pre-test, 118/177 (66.7%) knew the Gail model predicts lifetime invasive breast cancer risk; this knowledge gap persisted post-test [(121/177, 68.4%); P = 0.77]. Just 39.0% (69/177) knew the Gail model identifies women eligible for risk-reducing medications; this knowledge gap resolved. Only 48.6% (86/177) knew the Gail model should not be used to identify women meeting high-risk MRI screening guidelines; this deficiency decreased to 66.1% (117/177) post-test (P = 0.001). Pre-test, 47.5% (84/177) knew the Tyrer-Cuzick model is used to identify women meeting high-risk screening MRI criteria, 42.9% (76/177) to predict BRCA1/2 pathogenic mutation risk, and 26.0% (46/177) to predict lifetime invasive breast cancer risk. These knowledge gaps persisted but improved. For a high-risk 30-year-old, 67.8% (120/177) and 54.2% (96/177) pre-test knew screening MRI and mammography/tomosynthesis are recommended, respectively; 19.2% (34/177) knew both are recommended; and 53% (94/177) knew US is not recommended. These knowledge gaps resolved or reduced.
Conclusion
Web-based education can reduce important provider knowledge gaps about breast cancer risk models and high-risk screening recommendations. |
| doi_str_mv | 10.1093/jbi/wbac072 |
| format | Article |
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Objective
To assess effectiveness of a web-based educational intervention on women’s health care provider knowledge of breast cancer risk models and high-risk screening recommendations.
Methods
A web-based pre- and post-test study including 177 U.S.-based women’s health care providers was conducted in 2019. Knowledge gaps were defined as fewer than 75% of respondents answering correctly. Pre- and post-test knowledge differences (McNemar test) and associations of baseline characteristics with pre-test knowledge gaps (logistic regression) were evaluated.
Results
Respondents included 131/177 (74.0%) physicians; 127/177 (71.8%) practiced obstetrics/gynecology. Pre-test, 118/177 (66.7%) knew the Gail model predicts lifetime invasive breast cancer risk; this knowledge gap persisted post-test [(121/177, 68.4%); P = 0.77]. Just 39.0% (69/177) knew the Gail model identifies women eligible for risk-reducing medications; this knowledge gap resolved. Only 48.6% (86/177) knew the Gail model should not be used to identify women meeting high-risk MRI screening guidelines; this deficiency decreased to 66.1% (117/177) post-test (P = 0.001). Pre-test, 47.5% (84/177) knew the Tyrer-Cuzick model is used to identify women meeting high-risk screening MRI criteria, 42.9% (76/177) to predict BRCA1/2 pathogenic mutation risk, and 26.0% (46/177) to predict lifetime invasive breast cancer risk. These knowledge gaps persisted but improved. For a high-risk 30-year-old, 67.8% (120/177) and 54.2% (96/177) pre-test knew screening MRI and mammography/tomosynthesis are recommended, respectively; 19.2% (34/177) knew both are recommended; and 53% (94/177) knew US is not recommended. These knowledge gaps resolved or reduced.
Conclusion
Web-based education can reduce important provider knowledge gaps about breast cancer risk models and high-risk screening recommendations.</description><identifier>ISSN: 2631-6110</identifier><identifier>EISSN: 2631-6129</identifier><identifier>DOI: 10.1093/jbi/wbac072</identifier><identifier>PMID: 38416962</identifier><language>eng</language><publisher>US: Oxford University Press</publisher><subject>Adult ; BRCA1 Protein ; BRCA2 Protein ; Breast Neoplasms - diagnosis ; Early Detection of Cancer ; Female ; Humans ; Physicians</subject><ispartof>Journal of breast imaging, 2023-02, Vol.5 (1), p.30-39</ispartof><rights>Society of Breast Imaging 2023. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com 2023</rights><rights>Society of Breast Imaging 2023. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c357t-fb67b7e155f8dc56043652e3a3d890606be17f2df27ea7df0f9ea639cca85f273</citedby><cites>FETCH-LOGICAL-c357t-fb67b7e155f8dc56043652e3a3d890606be17f2df27ea7df0f9ea639cca85f273</cites><orcidid>0000-0002-1768-3368 ; 0000-0002-8792-6185 ; 0000-0001-9141-7108</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,777,781,1579,27905,27906</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38416962$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Seitzman, Robin L</creatorcontrib><creatorcontrib>Pushkin, JoAnn</creatorcontrib><creatorcontrib>Berg, Wendie A</creatorcontrib><title>Effect of an Educational Intervention on Women’s Health Care Provider Knowledge Gaps About Breast Cancer Risk Model Use and High-risk Screening Recommendations</title><title>Journal of breast imaging</title><addtitle>J Breast Imaging</addtitle><description>Abstract
Objective
To assess effectiveness of a web-based educational intervention on women’s health care provider knowledge of breast cancer risk models and high-risk screening recommendations.
Methods
A web-based pre- and post-test study including 177 U.S.-based women’s health care providers was conducted in 2019. Knowledge gaps were defined as fewer than 75% of respondents answering correctly. Pre- and post-test knowledge differences (McNemar test) and associations of baseline characteristics with pre-test knowledge gaps (logistic regression) were evaluated.
Results
Respondents included 131/177 (74.0%) physicians; 127/177 (71.8%) practiced obstetrics/gynecology. Pre-test, 118/177 (66.7%) knew the Gail model predicts lifetime invasive breast cancer risk; this knowledge gap persisted post-test [(121/177, 68.4%); P = 0.77]. Just 39.0% (69/177) knew the Gail model identifies women eligible for risk-reducing medications; this knowledge gap resolved. Only 48.6% (86/177) knew the Gail model should not be used to identify women meeting high-risk MRI screening guidelines; this deficiency decreased to 66.1% (117/177) post-test (P = 0.001). Pre-test, 47.5% (84/177) knew the Tyrer-Cuzick model is used to identify women meeting high-risk screening MRI criteria, 42.9% (76/177) to predict BRCA1/2 pathogenic mutation risk, and 26.0% (46/177) to predict lifetime invasive breast cancer risk. These knowledge gaps persisted but improved. For a high-risk 30-year-old, 67.8% (120/177) and 54.2% (96/177) pre-test knew screening MRI and mammography/tomosynthesis are recommended, respectively; 19.2% (34/177) knew both are recommended; and 53% (94/177) knew US is not recommended. These knowledge gaps resolved or reduced.
Conclusion
Web-based education can reduce important provider knowledge gaps about breast cancer risk models and high-risk screening recommendations.</description><subject>Adult</subject><subject>BRCA1 Protein</subject><subject>BRCA2 Protein</subject><subject>Breast Neoplasms - diagnosis</subject><subject>Early Detection of Cancer</subject><subject>Female</subject><subject>Humans</subject><subject>Physicians</subject><issn>2631-6110</issn><issn>2631-6129</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kctKxDAUhoMoKurKvWQlglRzmabTpQ6jIyqKF1yWNDkZq20yJq2DO1_Dpa_mk5hxRpfCgXP7-M-BH6FtSg4oyfnhU1kdTkupSMaW0DoTnCaCsnz5r6ZkDW2F8EQIYb24yegqWuP9HhW5YOvoc2gMqBY7g6XFQ90p2VbOyhqf2Rb8K9hZi2M8uAbs1_tHwCOQdfuIB9IDvvbutdLg8bl10xr0GPCpnAR8VLquxcceZGgjaVVEbqrwjC-dhhrfB4j3NB5V48fEz-a3ygPYyo7xDSjXxFv655OwiVaMrANsLfIGuj8Z3g1GycXV6dng6CJRPM3axJQiKzOgaWr6WqWC9LhIGXDJdT8ngogSaGaYNiwDmWlDTA5S8Fwp2U_jkG-gvbnuxLuXDkJbNFVQUNfSgutCwXLOe0JwTiO6P0eVdyF4MMXEV430bwUlxcyWItpSLGyJ9M5CuCsb0H_srwkR2J0Drpv8q_QNZCSZUg</recordid><startdate>20230206</startdate><enddate>20230206</enddate><creator>Seitzman, Robin L</creator><creator>Pushkin, JoAnn</creator><creator>Berg, Wendie A</creator><general>Oxford University Press</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-1768-3368</orcidid><orcidid>https://orcid.org/0000-0002-8792-6185</orcidid><orcidid>https://orcid.org/0000-0001-9141-7108</orcidid></search><sort><creationdate>20230206</creationdate><title>Effect of an Educational Intervention on Women’s Health Care Provider Knowledge Gaps About Breast Cancer Risk Model Use and High-risk Screening Recommendations</title><author>Seitzman, Robin L ; Pushkin, JoAnn ; Berg, Wendie A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c357t-fb67b7e155f8dc56043652e3a3d890606be17f2df27ea7df0f9ea639cca85f273</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Adult</topic><topic>BRCA1 Protein</topic><topic>BRCA2 Protein</topic><topic>Breast Neoplasms - diagnosis</topic><topic>Early Detection of Cancer</topic><topic>Female</topic><topic>Humans</topic><topic>Physicians</topic><toplevel>online_resources</toplevel><creatorcontrib>Seitzman, Robin L</creatorcontrib><creatorcontrib>Pushkin, JoAnn</creatorcontrib><creatorcontrib>Berg, Wendie A</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of breast imaging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Seitzman, Robin L</au><au>Pushkin, JoAnn</au><au>Berg, Wendie A</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Effect of an Educational Intervention on Women’s Health Care Provider Knowledge Gaps About Breast Cancer Risk Model Use and High-risk Screening Recommendations</atitle><jtitle>Journal of breast imaging</jtitle><addtitle>J Breast Imaging</addtitle><date>2023-02-06</date><risdate>2023</risdate><volume>5</volume><issue>1</issue><spage>30</spage><epage>39</epage><pages>30-39</pages><issn>2631-6110</issn><eissn>2631-6129</eissn><abstract>Abstract
Objective
To assess effectiveness of a web-based educational intervention on women’s health care provider knowledge of breast cancer risk models and high-risk screening recommendations.
Methods
A web-based pre- and post-test study including 177 U.S.-based women’s health care providers was conducted in 2019. Knowledge gaps were defined as fewer than 75% of respondents answering correctly. Pre- and post-test knowledge differences (McNemar test) and associations of baseline characteristics with pre-test knowledge gaps (logistic regression) were evaluated.
Results
Respondents included 131/177 (74.0%) physicians; 127/177 (71.8%) practiced obstetrics/gynecology. Pre-test, 118/177 (66.7%) knew the Gail model predicts lifetime invasive breast cancer risk; this knowledge gap persisted post-test [(121/177, 68.4%); P = 0.77]. Just 39.0% (69/177) knew the Gail model identifies women eligible for risk-reducing medications; this knowledge gap resolved. Only 48.6% (86/177) knew the Gail model should not be used to identify women meeting high-risk MRI screening guidelines; this deficiency decreased to 66.1% (117/177) post-test (P = 0.001). Pre-test, 47.5% (84/177) knew the Tyrer-Cuzick model is used to identify women meeting high-risk screening MRI criteria, 42.9% (76/177) to predict BRCA1/2 pathogenic mutation risk, and 26.0% (46/177) to predict lifetime invasive breast cancer risk. These knowledge gaps persisted but improved. For a high-risk 30-year-old, 67.8% (120/177) and 54.2% (96/177) pre-test knew screening MRI and mammography/tomosynthesis are recommended, respectively; 19.2% (34/177) knew both are recommended; and 53% (94/177) knew US is not recommended. These knowledge gaps resolved or reduced.
Conclusion
Web-based education can reduce important provider knowledge gaps about breast cancer risk models and high-risk screening recommendations.</abstract><cop>US</cop><pub>Oxford University Press</pub><pmid>38416962</pmid><doi>10.1093/jbi/wbac072</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-1768-3368</orcidid><orcidid>https://orcid.org/0000-0002-8792-6185</orcidid><orcidid>https://orcid.org/0000-0001-9141-7108</orcidid><oa>free_for_read</oa></addata></record> |
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| source | MEDLINE; Oxford University Press Journals All Titles (1996-Current) |
| subjects | Adult BRCA1 Protein BRCA2 Protein Breast Neoplasms - diagnosis Early Detection of Cancer Female Humans Physicians |
| title | Effect of an Educational Intervention on Women’s Health Care Provider Knowledge Gaps About Breast Cancer Risk Model Use and High-risk Screening Recommendations |
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