Elisabeth J Wurtmann, Shari Baldinger, Susan Olet, Ashley Daley, Karen K Swenson
{"title":"电子健康记录工具可增加遗传性癌症风险人群的遗传咨询转诊率:一项干预研究。","authors":"Elisabeth J Wurtmann, Shari Baldinger, Susan Olet, Ashley Daley, Karen K Swenson","doi":"10.1159/000525447","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>There is widespread under-identification of individuals at hereditary cancer risk despite national guidelines calling for screening. We evaluated the utilization of a tool embedded in the electronic health record (EHR) to assist primary care providers in screening patients for cancer genetic counseling referral.</p><p><strong>Methods: </strong>We designed BestPractice Advisories linked to a Genetic Cancer Screening Tool (GCST) in EpicCare Ambulatory. The GCST identifies individuals for evaluation for BRCA1/2, Lynch syndrome, and other risk mutations due to personal and family history. We tested the tool in a 7-week intervention in adult wellness visits at two clinics, one urban and one rural.</p><p><strong>Results: </strong>Out of 687 eligible patients, the screening survey was completed for 469 (67%), and of these, 150 (32%) screened positive for a personal and/or family history meeting genetic counseling referral criteria. Of individuals screening positive, a referral order was placed for 20 (13%). GCST screen-positive rate varied by patient gender but not race or age. Referral rate varied by provider and clinic but was not significantly affected by patient demographics. In the previous year over an equivalent date range, 0.1% of wellness visits (1 of 1,086) led to a referral, and this rate increased to 2.1% (22 of 1,062) during the intervention. The proportion of providers referring patients also increased, from 3.8% (1 of 26) to 42.3% (11 of 26).</p><p><strong>Discussion/conclusion: </strong>Genetic counseling referral of individuals at hereditary cancer risk was increased by use of an EHR-integrated tool. These findings add evidence for the benefit of clinical decision support for cancer genetic risk screening in primary care.</p>","PeriodicalId":49650,"journal":{"name":"Public Health Genomics","volume":null,"pages":null},"PeriodicalIF":1.3000,"publicationDate":"2022-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Electronic Health Record Tool Increases Genetic Counseling Referral of Individuals at Hereditary Cancer Risk: An Intervention Study.\",\"authors\":\"Elisabeth J Wurtmann, Shari Baldinger, Susan Olet, Ashley Daley, Karen K Swenson\",\"doi\":\"10.1159/000525447\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>There is widespread under-identification of individuals at hereditary cancer risk despite national guidelines calling for screening. We evaluated the utilization of a tool embedded in the electronic health record (EHR) to assist primary care providers in screening patients for cancer genetic counseling referral.</p><p><strong>Methods: </strong>We designed BestPractice Advisories linked to a Genetic Cancer Screening Tool (GCST) in EpicCare Ambulatory. The GCST identifies individuals for evaluation for BRCA1/2, Lynch syndrome, and other risk mutations due to personal and family history. We tested the tool in a 7-week intervention in adult wellness visits at two clinics, one urban and one rural.</p><p><strong>Results: </strong>Out of 687 eligible patients, the screening survey was completed for 469 (67%), and of these, 150 (32%) screened positive for a personal and/or family history meeting genetic counseling referral criteria. Of individuals screening positive, a referral order was placed for 20 (13%). GCST screen-positive rate varied by patient gender but not race or age. Referral rate varied by provider and clinic but was not significantly affected by patient demographics. In the previous year over an equivalent date range, 0.1% of wellness visits (1 of 1,086) led to a referral, and this rate increased to 2.1% (22 of 1,062) during the intervention. The proportion of providers referring patients also increased, from 3.8% (1 of 26) to 42.3% (11 of 26).</p><p><strong>Discussion/conclusion: </strong>Genetic counseling referral of individuals at hereditary cancer risk was increased by use of an EHR-integrated tool. These findings add evidence for the benefit of clinical decision support for cancer genetic risk screening in primary care.</p>\",\"PeriodicalId\":49650,\"journal\":{\"name\":\"Public Health Genomics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.3000,\"publicationDate\":\"2022-07-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Public Health Genomics\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1159/000525447\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"GENETICS & HEREDITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Public Health Genomics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1159/000525447","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
An Electronic Health Record Tool Increases Genetic Counseling Referral of Individuals at Hereditary Cancer Risk: An Intervention Study.
Introduction: There is widespread under-identification of individuals at hereditary cancer risk despite national guidelines calling for screening. We evaluated the utilization of a tool embedded in the electronic health record (EHR) to assist primary care providers in screening patients for cancer genetic counseling referral.
Methods: We designed BestPractice Advisories linked to a Genetic Cancer Screening Tool (GCST) in EpicCare Ambulatory. The GCST identifies individuals for evaluation for BRCA1/2, Lynch syndrome, and other risk mutations due to personal and family history. We tested the tool in a 7-week intervention in adult wellness visits at two clinics, one urban and one rural.
Results: Out of 687 eligible patients, the screening survey was completed for 469 (67%), and of these, 150 (32%) screened positive for a personal and/or family history meeting genetic counseling referral criteria. Of individuals screening positive, a referral order was placed for 20 (13%). GCST screen-positive rate varied by patient gender but not race or age. Referral rate varied by provider and clinic but was not significantly affected by patient demographics. In the previous year over an equivalent date range, 0.1% of wellness visits (1 of 1,086) led to a referral, and this rate increased to 2.1% (22 of 1,062) during the intervention. The proportion of providers referring patients also increased, from 3.8% (1 of 26) to 42.3% (11 of 26).
Discussion/conclusion: Genetic counseling referral of individuals at hereditary cancer risk was increased by use of an EHR-integrated tool. These findings add evidence for the benefit of clinical decision support for cancer genetic risk screening in primary care.
期刊介绍:
''Public Health Genomics'' is the leading international journal focusing on the timely translation of genome-based knowledge and technologies into public health, health policies, and healthcare as a whole. This peer-reviewed journal is a bimonthly forum featuring original papers, reviews, short communications, and policy statements. It is supplemented by topic-specific issues providing a comprehensive, holistic and ''all-inclusive'' picture of the chosen subject. Multidisciplinary in scope, it combines theoretical and empirical work from a range of disciplines, notably public health, molecular and medical sciences, the humanities and social sciences. In so doing, it also takes into account rapid scientific advances from fields such as systems biology, microbiomics, epigenomics or information and communication technologies as well as the hight potential of ''big data'' for public health.