Evidence map›Paper›PMID 36474257›Full record

ArticleBMC health services research2022

Implementation-effectiveness trial of systematic family health history based risk assessment and impact on clinical disease prevention and surveillance activities.

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

Registry-linked trialAbstract read
In one paragraph

Article in BMC health services research, 2022. 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 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Genetically guided precision medicine clinical decision support tools: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2024
    Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Article
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  7. Article
  8. Efficacy of Community Health Worker-Delivered Family Health History-Based Breast Cancer Education and Services Among Chinese Americans.Journal of cancer education : the official journal of the American Association for Cancer Education · 2024
    Article
  9. Article
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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.

R Ryanne WuCenter for Applied Genomics and Precision Medicine, Department of Medicine, Duke University School of Medicine, Durham, NC, USA. ryanne.wu@duke.edu.ORCID http://orcid.org/0000-0002-7655-3096
Rachel A MyersCenter for Applied Genomics and Precision Medicine, Department of Medicine, Duke University School of Medicine, Durham, NC, USA.
Joan NeunerDepartment of Medicine, Medical College of Wisconsin, Milwaukee, WI, USA.
Catherine McCartyUniversity of Minnesota Medical School, Duluth Campus, Duluth, MN, USA.
Irina V HallerEssentia Institute of Rural Health, Duluth, MN, USA.
Melissa HarryEssentia Institute of Rural Health, Duluth, MN, USA.
Kimberly G FuldaThe North Texas Primary Care Practice-Based Research Network and Family Medicine, University of North Texas Health Science Center, Fort Worth, TX, USA.
David DimmockRady Children's Institute for Genomic Medicine, San Diego, CA, USA.
Tejinder Rakhra-BurrisCenter for Applied Genomics and Precision Medicine, Department of Medicine, Duke University School of Medicine, Durham, NC, USA.
Adam BuchananGenomic Medicine Institute, Geisinger, Geisinger, PA, USA.
Geoffrey S GinsburgAll of Us Research Program, National Institutes of Health, Bethesda, MD, USA.
Lori A OrlandoCenter for Applied Genomics and Precision Medicine, Department of Medicine, Duke University School of Medicine, Durham, NC, USA.

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

backgroundSystematically assessing disease risk can improve population health by identifying those eligible for enhanced prevention/screening strategies. This study aims to determine the clinical impact of a systematic risk assessment in diverse primary care populations.

methodsHybrid implementation-effectiveness trial of a family health history-based health risk assessment (HRA) tied to risk-based guideline recommendations enrolling from 2014-2017 with 12 months of post-intervention survey data and 24 months of electronic medical record (EMR) data capture.

setting19 primary care clinics at four geographically and culturally diverse U.S. healthcare systems.

participantsany English or Spanish-speaking adult with an upcoming appointment at an enrolling clinic.

methodsA personal and family health history based HRA with integrated guideline-based clinical decision support (CDS) was completed by each participant prior to their appointment. Risk reports were provided to patients and providers to discuss at their clinical encounter. OUTCOMES: provider and patient discussion and provider uptake (i.e. ordering) and patient uptake (i.e. recommendation completion) of CDS recommendations. MEASURES: patient and provider surveys and EMR data.

resultsOne thousand eight hundred twenty nine participants (mean age 56.2 [SD13.9], 69.6% female) completed the HRA and had EMR data available for analysis. 762 (41.6%) received a recommendation (29.7% for genetic counseling (GC); 15.2% for enhanced breast/colon cancer screening). Those with recommendations frequently discussed disease risk with their provider (8.7%-38.2% varied by recommendation, p-values ≤ 0.004). In the GC subgroup, provider discussions increased referrals to counseling (44.4% with vs. 5.9% without, P < 0.001). Recommendation uptake was highest for colon cancer screening (provider = 67.9%; patient = 86.8%) and lowest for breast cancer chemoprevention (0%).

conclusionsSystematic health risk assessment revealed that almost half the population were at increased disease risk based on guidelines. Risk identification resulted in shared discussions between participants and providers but variable clinical action uptake depending upon the recommendation. Understanding the barriers and facilitators to uptake by both patients and providers will be essential for optimizing HRA tools and achieving their promise of improving population health.

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

Indexed as

Delivery of Health CareGenetic CounselingFemaleHumansMaleMedical History TakingMiddle AgedRisk AssessmentClinical decision supportFamily health historyHealth belief modelHybrid implementation-effectivenessPrecision medicineRisk assessment

Identifiers

PMID36474257
PMCPMC9727967

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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.