Literature DB >> 31395442

Family health history: underused for actionable risk assessment.

Geoffrey S Ginsburg1, R Ryanne Wu2, Lori A Orlando3.   

Abstract

Family health history (FHH) is the most useful means of assessing risk for common chronic diseases. The odds ratio for risk of developing disease with a positive FHH is frequently greater than 2, and actions can be taken to mitigate risk by adhering to screening guidelines, genetic counselling, genetic risk testing, and other screening methods. Challenges to the routine acquisition of FHH include constraints on provider time to collect data and the difficulty in accessing risk calculators. Disease-specific and broader risk assessment software platforms have been developed, many with clinical decision support and informatics interoperability, but few access patient information directly. Software that allows integration of FHH with the electronic medical record and clinical decision support capabilities has provided solutions to many of these challenges. Patient facing, electronic medical record, and web-enabled FHH platforms have been developed, and can provide greater identification of risk compared with conventional FHH ascertainment in primary care. FHH, along with cascade screening, can be an important component of population health management approaches to overall reduction of risk.
Copyright © 2019 Elsevier Ltd. All rights reserved.

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Year:  2019        PMID: 31395442      PMCID: PMC6822265          DOI: 10.1016/S0140-6736(19)31275-9

Source DB:  PubMed          Journal:  Lancet        ISSN: 0140-6736            Impact factor:   79.321


  71 in total

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Journal:  Diabetes       Date:  2000-12       Impact factor: 9.461

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Journal:  Can Fam Physician       Date:  2017-01       Impact factor: 3.275

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7.  Effect of adding systematic family history enquiry to cardiovascular disease risk assessment in primary care: a matched-pair, cluster randomized trial.

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Journal:  Genet Med       Date:  2000 May-Jun       Impact factor: 8.822

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  14 in total

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2.  Association of Disparities in Family History and Family Cancer History in the Electronic Health Record With Sex, Race, Hispanic or Latino Ethnicity, and Language Preference in 2 Large US Health Care Systems.

Authors:  Daniel Chavez-Yenter; Melody S Goodman; Yuyu Chen; Xiangying Chu; Richard L Bradshaw; Rachelle Lorenz Chambers; Priscilla A Chan; Brianne M Daly; Michael Flynn; Amanda Gammon; Rachel Hess; Cecelia Kessler; Wendy K Kohlmann; Devin M Mann; Rachel Monahan; Sara Peel; Kensaku Kawamoto; Guilherme Del Fiol; Meenakshi Sigireddi; Saundra S Buys; Ophira Ginsburg; Kimberly A Kaphingst
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Authors:  Catharine Wang; Michael K Paasche-Orlow; Deborah J Bowen; Howard Cabral; Michael R Winter; Tricia Norkunas Cunningham; Michelle Trevino-Talbot; Diana M Toledo; Dharma E Cortes; MaryAnn Campion; Timothy Bickmore
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4.  Comparison of family health history in surveys vs electronic health record data mapped to the observational medical outcomes partnership data model in the All of Us Research Program.

Authors:  Robert M Cronin; Alese E Halvorson; Cassie Springer; Xiaoke Feng; Lina Sulieman; Roxana Loperena-Cortes; Kelsey Mayo; Robert J Carroll; Qingxia Chen; Brian K Ahmedani; Jason Karnes; Bruce Korf; Christopher J O'Donnell; Jun Qian; Andrea H Ramirez
Journal:  J Am Med Inform Assoc       Date:  2021-03-18       Impact factor: 4.497

5.  Clinical implementation of an oncology-specific family health history risk assessment tool.

Authors:  Si Ming Fung; R Ryanne Wu; Rachel A Myers; Jasper Goh; Geoffrey S Ginsburg; David Matchar; Lori A Orlando; Joanne Ngeow
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6.  Family history assessment significantly enhances delivery of precision medicine in the genomics era.

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Review 7.  Multigenerational health research using population-based linked databases: an international review.

Authors:  Naomi C Hamm; Amani F Hamad; Elizabeth Wall-Wieler; Leslie L Roos; Oleguer Plana-Ripoll; Lisa M Lix
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8.  Management of patients with increased risk for familial pancreatic cancer: updated recommendations from the International Cancer of the Pancreas Screening (CAPS) Consortium.

Authors:  Michael Goggins; Kasper Alexander Overbeek; Randall Brand; Sapna Syngal; Marco Del Chiaro; Detlef K Bartsch; Claudio Bassi; Alfredo Carrato; James Farrell; Elliot K Fishman; Paul Fockens; Thomas M Gress; Jeanin E van Hooft; R H Hruban; Fay Kastrinos; Allison Klein; Anne Marie Lennon; Aimee Lucas; Walter Park; Anil Rustgi; Diane Simeone; Elena Stoffel; Hans F A Vasen; Djuna L Cahen; Marcia Irene Canto; Marco Bruno
Journal:  Gut       Date:  2019-10-31       Impact factor: 23.059

9.  An efficient machine learning-based approach for screening individuals at risk of hereditary haemochromatosis.

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Review 10.  Gender differences in self-reported family history of cancer: A review and secondary data analysis.

Authors:  Monika Sieverding; Anna Lisa Arbogast; Stephanie Zintel; Christian von Wagner
Journal:  Cancer Med       Date:  2020-08-24       Impact factor: 4.452

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