Evidence map›Paper›PMID 26597091›Full record

Trial reportImplementation science : IS2015

Protocol for the "Implementation, adoption, and utility of family history in diverse care settings" study.

R Ryanne Wu, Rachel A Myers, Catherine A McCarty, David Dimmock, Michael Farrell, Deanna Cross, Troy D Chinevere, Geoffrey S Ginsburg, Lori A Orlando, Family Health History Network

Registry-linked trialAbstract readClinical TrialMulticenter Study
In one paragraph

Trial report in Implementation science : IS, 2015. 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 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Electronic health records and clinician burnout: A story of three eras.Journal of the American Medical Informatics Association : JAMIA · 2021
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
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

10 authors.

R Ryanne WuDuke Center for Applied Genomics & Precision Medicine and Duke Department of Medicine, Duke University, 411 West Chapel Hill Street, Ste. 500, Durham, NC, 27705, USA. ryanne.wu@duke.edu.
Rachel A MyersDuke Center for Applied Genomics & Precision Medicine, Duke University, Durham, NC, USA. rachel.myers@dm.duke.edu.
Catherine A McCartyEssentia Institute of Rural Health, Duluth, MN, USA. CMcCarty@eirh.org.
David DimmockHuman and Molecular Genetics Center, Medical College of Wisconsin, Milwaukee, WI, USA. ddimmock@mcw.edu.
Michael FarrellCenter for Urban Population Health, Aurora University of Wisconsin, Milwaukee, WI, USA. Michael.H.Farrell@aurora.org.
Deanna CrossDepartment of Molecular and Medical Genetics, University of North Texas, Fort Worth, TX, USA. Deanna.cross@christushealth.org.
Troy D ChinevereClinical Investigations Facility, David Grant Medical Center, U.S. Air Force, Travis, CA, USA. troy.chinevere@us.af.mil.
Geoffrey S GinsburgDuke Center for Applied Genomics & Precision Medicine and Duke Department of Medicine and Pathology, Duke University, Durham, NC, USA. geoffrey.ginsburg@dm.duke.edu.
Lori A OrlandoDuke Center for Applied Genomics & Precision Medicine and Duke Department of Medicine, Duke University, Durham, NC, USA. lorlando@duke.edu.
Family Health History Network

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 with a thorough family health history is recommended by numerous organizations and is now a required component of the annual physical for Medicare beneficiaries under the Affordable Care Act. However, there are several barriers to incorporating robust risk assessments into routine care. MeTree, a web-based patient-facing health risk assessment tool, was developed with the aim of overcoming these barriers. In order to better understand what factors will be instrumental for broader adoption of risk assessment programs like MeTree in clinical settings, we obtained funding to perform a type III hybrid implementation-effectiveness study in primary care clinics at five diverse healthcare systems. Here, we describe the study's protocol. METHODS/

designMeTree collects personal medical information and a three-generation family health history from patients on 98 conditions. Using algorithms built entirely from current clinical guidelines, it provides clinical decision support to providers and patients on 30 conditions. All adult patients with an upcoming well-visit appointment at one of the 20 intervention clinics are eligible to participate. Patient-oriented risk reports are provided in real time. Provider-oriented risk reports are uploaded to the electronic medical record for review at the time of the appointment. Implementation outcomes are enrollment rate of clinics, providers, and patients (enrolled vs approached) and their representativeness compared to the underlying population. Primary effectiveness outcomes are the percent of participants newly identified as being at increased risk for one of the clinical decision support conditions and the percent with appropriate risk-based screening. Secondary outcomes include percent change in those meeting goals for a healthy lifestyle (diet, exercise, and smoking). Outcomes are measured through electronic medical record data abstraction, patient surveys, and surveys/qualitative interviews of clinical staff. DISCUSSION: This study evaluates factors that are critical to successful implementation of a web-based risk assessment tool into routine clinical care in a variety of healthcare settings. The result will identify resource needs and potential barriers and solutions to implementation in each setting as well as an understanding potential effectiveness.

trial registrationNCT01956773.

Indexed as

Genetic Predisposition to DiseaseAlgorithmsAmbulatory Care FacilitiesComputers, HandheldDecision Support Systems, ClinicalElectronic Health RecordsHumansPatient Education as TopicPractice Guidelines as TopicPrimary Health CareResearch DesignRisk AssessmentUser-Computer Interface

Identifiers

PMID26597091
PMCPMC4657284

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.