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Trial record 8 of 845 for:    Open Studies | "Personal Health Records"

Family Health History in Diverse Care Settings

This study is currently recruiting participants. (see Contacts and Locations)
Verified November 2016 by Duke University
Information provided by (Responsible Party):
Duke University Identifier:
First received: September 30, 2013
Last updated: November 28, 2016
Last verified: November 2016
The outcome of this research will be a demonstration that family health history (FHH) risk data can be used efficiently to deliver more effective healthcare in geographically and ethnically diverse clinical care environments. Although FHH is a standard component of the medical interview its widespread adoption is hindered by three major barriers: (1) a dearth of standard collection methods; (2) the absence of health care provider access to complete FHH information; and (3) the need for clinical guidance for the interpretation and use of FHH. In addition, the time constraints of the busy provider and poor integration of FHH with paper medical records or electronic medical records (EMR) impede its widespread use. The investigators hypothesize that patient-driven and electronic collection of FHH for risk stratification will promote more informed decision-making by patients and providers, and improves adherence to risk-stratified preventive care guidelines. The study team will use an implementation sciences approach to integrate an innovative FHH system that collects FHH from patients. Intermountain Healthcare will provide the information technology expertise with EMR design to develop an innovative solution to a storage model standard for FHH data as well as a centralized standards-compliant open clinical decision support (OpenCDS) rule development architecture to analyze FHH and to generate evidence-based, individualized, disease risk, preventive care recommendations for both patients and providers.

Condition Intervention
Heart Disease
Other: MeTree

Study Type: Interventional
Study Design: Allocation: Randomized
Intervention Model: Parallel Assignment
Masking: Open Label
Primary Purpose: Health Services Research
Official Title: Family Health History in Diverse Care Settings

Further study details as provided by Duke University:

Primary Outcome Measures:
  • Increasing uptake of risk-management evidence based preventive strategies for the clinical decision support conditions [ Time Frame: Baseline, 3 and 12 months ]
    How many patients identified to be at increased risk for the clinical decision support conditions, how many providers order the recommended prevention strategy, and how many patients adhere to the provider recommendation.

Secondary Outcome Measures:
  • Measure patient-related outcomes associated with using the MeTree tool [ Time Frame: 3 months and 12 months ]
    The study will assess satisfaction, comfort, anxiety, and preparedness associated with using the MeTree tool via survey 3 and 12 months after completing the family history collection.

  • Measure physician experience with MeTree [ Time Frame: 3 months ]
    Evaluate physicians' perceptions of satisfaction, the tool's impact on work load and its effectiveness via survey and informal interviews at 3 months.

  • Implementation parameters for MeTree [ Time Frame: up to 3 years ]
    Formative evaluation of the implementation process which includes barriers and solutions to implementing MeTree into clinical practice setting.

  • uptake of MeTree by clinical practices [ Time Frame: 1 year ]
    Evaluate which clinics/providers are successfully using MeTree in their clinical work flow and which patients are successfully using MeTree for their care. (surveys, monitoring of clinical workflow, patient recruitment reflects underlying clinic population)

Estimated Enrollment: 7000
Study Start Date: April 2014
Estimated Study Completion Date: December 2017
Estimated Primary Completion Date: April 2017 (Final data collection date for primary outcome measure)
Arms Assigned Interventions
Active Comparator: MeTree
MeTree collects family health history data and generates risk scores and specific risk-based recommendation for preventive care to patients and providers as clinical decision support.
Other: MeTree
Software program collecting family health history and generating clinical decision support for risk-based preventive care
No Intervention: Control
to compare rates of risk management strategies in standard care during the time of MeTree use in the intervention arm.

Detailed Description:
Five health care delivery organizations will participate in this demonstration project: Duke University, the Medical College of Wisconsin, the Air Force, Essentia Health, and the University of North Texas Health Science Center. The study will take place in 'real world' clinical, socio-cultural, and demographically diverse (rural, underserved, academic, family medicine) care clinics (n=34) in 5 states (CA, MN, NC, WI, TX) that include genomic medicine 'early adopter' and 'naïve' sites, as well as those that are EMR-enabled and others that are not. The study team will recruit a minimum of 7000 English or Spanish speaking adults over a 3-year period and will capture process metrics and outcomes that are measured in the course of usual care. The goals are: 1) To optimize the collection of patient entered FHH in diverse clinical environments for coronary heart disease, thrombosis, and selected cancers, 2) to export FHH data to an OpenCDS platform and return CDS results to providers and patients (and to EMRs where relevant) and to explore the integration of genetic risk and FHH data at selected sites, 3) to assess the clinical and personal utility of FHH using a pragmatic observational study design to assess reach, adoption, integrity, exposure, and sustainability, and to capture, analyze, and report effectiveness outcomes at each stakeholder level: patient, provider, and clinic/system, and 4) to take a leadership role in the dissemination of guidelines for FHH intervention across in diverse practice settings.

Ages Eligible for Study:   18 Years and older   (Adult, Senior)
Sexes Eligible for Study:   All
Accepts Healthy Volunteers:   Yes

Inclusion Criteria:

  • Adults 18 years of age
  • Scheduled for a well visit appointment in selected clinics
  • English and Spanish speaking
  • Able to provide informed consent

Exclusion Criteria:

  Contacts and Locations
Choosing to participate in a study is an important personal decision. Talk with your doctor and family members or friends about deciding to join a study. To learn more about this study, you or your doctor may contact the study research staff using the Contacts provided below. For general information, see Learn About Clinical Studies.

Please refer to this study by its identifier: NCT01956773

Contact: Dana Baker, MS (919) 681-9436

United States, California
David Grant Medical Center Terminated
Fairfield, California, United States, 94535
United States, Minnesota
Essentia Institute of Rural Health Recruiting
Duluth, Minnesota, United States, 55805
Contact: Laurie Hall   
Contact: Joe Bianco, MD   
Principal Investigator: Catherine McCarty, MD         
United States, North Carolina
Duke University Medical Center Recruiting
Durham, North Carolina, United States, 27710
Contact: Dana Baker, MS    919-668-2341   
Principal Investigator: Geoffrey Ginsburg, MD PhD         
Sub-Investigator: Lori Orlando, MD MHS         
United States, Texas
University of North Texas Health Science Center Recruiting
Fort Worth, Texas, United States, 76107
Contact: Kimberly S Fulda, DrPH   
Principal Investigator: Kimberly Fulda, DrPH         
United States, Wisconsin
Medical College of Wisconsin Recruiting
Milwaukee, Wisconsin, United States, 53226
Contact: Allison La Pean Kirschner, MS, CGC    414-955-4988   
Principal Investigator: Joan Neuner, MD         
Sponsors and Collaborators
Duke University
Principal Investigator: Geoffrey S Ginsburg, MD PHD Duke University, Institute for Genome Science and Policy
Principal Investigator: Lori Orlando, MD Duke University, Department of Medicine
  More Information

Publications automatically indexed to this study by Identifier (NCT Number):
Responsible Party: Duke University Identifier: NCT01956773     History of Changes
Other Study ID Numbers: Pro00043372
Pro00047666 ( Other Identifier: DUHS IRB )
Study First Received: September 30, 2013
Last Updated: November 28, 2016

Keywords provided by Duke University:
family health history
genetic risk
clinical decision support

Additional relevant MeSH terms:
Heart Diseases
Cardiovascular Diseases processed this record on March 24, 2017