Evidence map›Paper›PMID 33160339›Full record

ArticleBMC health services research2020

At the intersection of precision medicine and population health: an implementation-effectiveness study of family health history based systematic risk assessment in primary care.

Lori A Orlando, R Ryanne Wu, Rachel A Myers, Joan Neuner, Catherine McCarty, Irina V Haller, Melissa Harry, Kimberly G Fulda, David Dimmock, Teji Rakhra-Burris and 2 more

Registry-linked trialOpen access · goldAbstract readEvaluation Study
In one paragraph

Article in BMC health services research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01956773 (Family Health History in Diverse Care Settings), which is not on this map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.9field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT01956773 nacompletednot on this map

Family Health History in Diverse Care Settings

TypeinterventionalSponsorDuke UniversityRan2014 to 2017Enrolled2,620ConditionsDiabetes, Heart Disease, CancerArmsMeTree
3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 30 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Enhancing patient representation learning with inferred family pedigrees improves disease risk prediction.Journal of the American Medical Informatics Association : JAMIA · 2025
    Article
  5. Article
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  7. The Canadian Landscape of Genetics and Genomics in Nursing: A Policy Document Analysis.The Canadian journal of nursing research = Revue canadienne de recherche en sciences infirmieres · 2023
    Article
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  9. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 7 institutions in 2 countries.

Lori A OrlandoDepartment of Medicine, Center for Applied Genomics and Precision Medicine, Duke University School of Medicine, Durham, USA. lorlando@duke.edu.ORCID http://orcid.org/0000-0003-2534-7855
R Ryanne WuDepartment of Medicine, Center for Applied Genomics and Precision Medicine, Duke University School of Medicine, Durham, USA.
Rachel A MyersDepartment of Medicine, Center for Applied Genomics and Precision Medicine, Duke University School of Medicine, Durham, USA.
Joan NeunerDepartment of Medicine, Medical College of Wisconsin, Milwaukee, USA.
Catherine McCartyUniversity of Minnesota Medical School, Duluth campus, Duluth, USA.
Irina V HallerEssentia Institute of Rural Health, Duluth, USA.
Melissa HarryEssentia Institute of Rural Health, Duluth, USA.
Kimberly G FuldaThe North Texas Primary care Practice-Based Research Network and Family Medicine, University of North Texas Health Science Center, Fort Worth, USA.
David DimmockRady Children's Institute for Genomic Medicine, San Diego, USA.
Teji Rakhra-BurrisDepartment of Medicine, Center for Applied Genomics and Precision Medicine, Duke University School of Medicine, Durham, USA.
Adam BuchananGenomic Medicine Institute, Geisinger, Geisinger, USA.
Geoffrey S GinsburgDepartment of Medicine, Center for Applied Genomics and Precision Medicine, Duke University School of Medicine, Durham, USA.
Duke University · USEssentia Health · USChildren’s Institute · USGeisinger Neuroscience Institute · USMedical College of Wisconsin · USUniversity of Minnesota, Duluth · USUniversity of North Texas · US

Funding

Implementation, Adoption, and Utility of Family History in Diverse Care SettingsU01HG007282 · NHGRI · DUKE UNIVERSITY · PI GINSBURG, GEOFFREY S, ORLANDO, LORI ANN · 2013 to 2018
$7.0M
NHGRI NIH HHS 1 U01 HG007282NHGRI NIH HHS U01 HG007282
6 · The paper itself

Abstract

backgroundRisk assessment is a precision medicine technique that can be used to enhance population health when applied to prevention. Several barriers limit the uptake of risk assessment in health care systems; and little is known about the potential impact that adoption of systematic risk assessment for screening and prevention in the primary care population might have. Here we present results of a first of its kind multi-institutional study of a precision medicine tool for systematic risk assessment.

methodsWe undertook an implementation-effectiveness trial of systematic risk assessment of primary care patients in 19 primary care clinics at four geographically and culturally diverse healthcare systems. All adult English or Spanish speaking patients were invited to enter personal and family health history data into MeTree, a patient-facing family health history driven risk assessment program, for 27 medical conditions. Risk assessment recommendations followed evidence-based guidelines for identifying and managing those at increased disease risk.

resultsOne thousand eight hundred eighty-nine participants completed MeTree, entering information on N = 25,967 individuals. Mean relatives entered = 13.7 (SD 7.9), range 7-74. N = 1443 (76.4%) participants received increased risk recommendations: 597 (31.6%) for monogenic hereditary conditions, 508 (26.9%) for familial-level risk, and 1056 (56.1%) for risk of a common chronic disease. There were 6617 recommendations given across the 1443 participants. In multivariate analysis, only the total number of relatives entered was significantly associated with receiving a recommendation.

conclusionsA significant percentage of the general primary care population meet criteria for more intensive risk management. In particular 46% for monogenic hereditary and familial level disease risk. Adopting strategies to facilitate systematic risk assessment in primary care could have a significant impact on populations within the U.S. and even beyond.

trial registrationClinicaltrials.gov number NCT01956773 , registered 10/8/2013.

Indexed as

Population HealthPrecision MedicinePrimary Health CareAdultAgedAmbulatory Care FacilitiesChronic DiseaseFemaleHealth SurveysHumansMaleMedical History TakingMiddle AgedProgram EvaluationRisk AssessmentRisk ManagementFamily health historyGenetic riskPopulation healthRisk assessment

Identifiers

PMID33160339
PMCPMC7648301
OpenAlexW3106258594

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.