Implementing family health history risk stratification in primary care: Impact of guideline criteria on populations and resource demand. Issue 1 (10th March 2014)
- Record Type:
- Journal Article
- Title:
- Implementing family health history risk stratification in primary care: Impact of guideline criteria on populations and resource demand. Issue 1 (10th March 2014)
- Main Title:
- Implementing family health history risk stratification in primary care: Impact of guideline criteria on populations and resource demand
- Authors:
- Orlando, Lori A.
Wu, R. Ryanne
Beadles, Chris
Himmel, Tiffany
Buchanan, Adam H.
Powell, Karen P.
Hauser, Elizabeth R.
Henrich, Vincent C.
Ginsburg, Geoffrey S.
Williams, Marc S. - Abstract:
- <abstract abstract-type="main"> <title> <x xml:space="preserve">Abstract</x> </title> <sec id="ajmgc31388-sec-0001" sec-type="section"> <p>The Genomic Medicine Model aims to facilitate patient engagement, patient/provider education of genomics/personalized medicine, and uptake of risk‐stratified evidence‐based prevention guidelines using MeTree, a patient‐facing family health history (FHH) collection and clinical decision support (CDS) program. Here we report the number of increased risk (above population‐level risk) patients identified for breast/ovarian cancer, colon cancer, hereditary syndrome risk, and thrombosis; the prevalence of FHH elements triggering increased‐risk status; and the resources needed to manage their risk. <italic>Study design</italic>: hybrid implementation‐effectiveness study of adults with upcoming well‐visits in 2 primary care practices in Greensboro, NC. <italic>Participants</italic>: 1, 184, mean age = 58.8, female = 58% (N = 694), non‐white = 20% (N = 215). <italic>Increased Risk</italic>: 44% (N = 523). <italic>Recommendations</italic>: genetic counseling = 26% (N = 308), breast MRI = 0.8% (N = 10), breast chemoprophylaxis = 5% (N = 58), early/frequent colonoscopies = 19% (N = 221), ovarian cancer screening referral = 1% (N = 14), thrombosis testing/counseling = 2.4% (N = 71). <italic>FHH elements</italic>: 8 FHH elements lead to 37.3% of the increased risk categorizations (by frequency): first‐degree‐relative (FDR) with polyps age ≥60 (7.1%,<abstract abstract-type="main"> <title> <x xml:space="preserve">Abstract</x> </title> <sec id="ajmgc31388-sec-0001" sec-type="section"> <p>The Genomic Medicine Model aims to facilitate patient engagement, patient/provider education of genomics/personalized medicine, and uptake of risk‐stratified evidence‐based prevention guidelines using MeTree, a patient‐facing family health history (FHH) collection and clinical decision support (CDS) program. Here we report the number of increased risk (above population‐level risk) patients identified for breast/ovarian cancer, colon cancer, hereditary syndrome risk, and thrombosis; the prevalence of FHH elements triggering increased‐risk status; and the resources needed to manage their risk. <italic>Study design</italic>: hybrid implementation‐effectiveness study of adults with upcoming well‐visits in 2 primary care practices in Greensboro, NC. <italic>Participants</italic>: 1, 184, mean age = 58.8, female = 58% (N = 694), non‐white = 20% (N = 215). <italic>Increased Risk</italic>: 44% (N = 523). <italic>Recommendations</italic>: genetic counseling = 26% (N = 308), breast MRI = 0.8% (N = 10), breast chemoprophylaxis = 5% (N = 58), early/frequent colonoscopies = 19% (N = 221), ovarian cancer screening referral = 1% (N = 14), thrombosis testing/counseling = 2.4% (N = 71). <italic>FHH elements</italic>: 8 FHH elements lead to 37.3% of the increased risk categorizations (by frequency): first‐degree‐relative (FDR) with polyps age ≥60 (7.1%, N = 85), three relatives with Lynch‐related cancers (5.4%, N = 65), FDR with polyps age &lt;60 (5.1%, N = 61), three relatives on same side of family with same cancer (4.9%, N = 59), Gail score ≥1.66% (4.9%, N = 58), two relatives with breast cancer (one ≤age 50) (4.1%, N = 49), one relative with breast cancer ≤age 40 (4.1%, N = 48), FDR with colon cancer age ≥60 (1.7%, N = 20). MeTree identifies a high percentage of individuals in the general primary care population needing non‐routine risk management/prevention for the selected conditions. Implementing risk‐stratification in primary care will likely increase demand for related‐resources, particularly colon screening and GC. Understanding the prevalence of FHH elements helps predict resource needs and may aid in guideline development. © 2014 Wiley Periodicals, Inc.</p> </sec> </abstract> … (more)
- Is Part Of:
- American journal of medical genetics. Volume 166:Issue 1(2014)
- Journal:
- American journal of medical genetics
- Issue:
- Volume 166:Issue 1(2014)
- Issue Display:
- Volume 166, Issue 1 (2014)
- Year:
- 2014
- Volume:
- 166
- Issue:
- 1
- Issue Sort Value:
- 2014-0166-0001-0000
- Page Start:
- 24
- Page End:
- 33
- Publication Date:
- 2014-03-10
- Subjects:
- Medical genetics -- Periodicals
616.04205 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
- DOI:
- 10.1002/ajmg.c.31388 ↗
- Languages:
- English
- ISSNs:
- 1552-4868
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 0827.940000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 4181.xml