DiabetesFHHNCT01956773
Family Health History in Diverse Care Settings (FHH)
A study testing MeTree in people with Diabetes and Heart Disease, run by Duke University at 5 sites in United States.
Trial summary
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. Read more about this study
- Who is it for?
- Ages 18 years and olderHealthy volunteers can take part
- Conditions the study is for
- Diabetes, Heart Disease, Cancer
- What is being tested?
- MeTree
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 2,620 participants
- Where
- 5 sitesUnited States
- Study dates
- 11 Apr 2014to 31 Oct 2017
- Phase
- Interventional
- Are there results?
- Yes, posted in the registrySummary in the doctors' view
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 years and older
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
Who may be able to join
- Adults 18 years of age
- Scheduled for a well visit appointment in selected clinics
- English and Spanish speaking
- Able to provide informed consent
Who cannot join
- None
Trial locations and contacts
5 sites in 1 country.
5 sites in 1 country
United States5 sites
Essentia Institute of Rural Health
Duluth, Minnesota, 55805
Duke University Medical Center
Durham, North Carolina, 27710
David Grant Medical Center
Fairfield, California, 94535
University of North Texas Health Science Center
Fort Worth, Texas, 76107
Medical College of Wisconsin
Milwaukee, Wisconsin, 53226
About this study
Official title: Family Health History in Diverse Care Settings
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.
Read the 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.
- Conditions
- Diabetes, Heart Disease, Cancer
- Being tested
- MeTree
- Keywords
- family health history, prevention, genetic risk, clinical decision support
- Medical subject headings
- Diabetes Mellitus, Heart Diseases, Neoplasms
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
MeTreeOther
Software program collecting family health history and generating clinical decision support for risk-based preventive care
| Study group | Role | What they receive |
|---|---|---|
| MeTree - Patient | Experimental | MeTree collects family health history data and generates risk scores and specific risk-based recommendation for preventive care to patients as clinical decision support. Receives: Other: MeTree |
| MeTree - Provider | Experimental | MeTree collects family health history data and generates risk scores and specific risk-based recommendation for preventive care to providers as clinical decision support. Receives: Other: MeTree |
What is being measured
The primary outcome is the main question the study is designed to answer.
Number of Participants With Uptake of Genetic Counseling for Those at Risk of Hereditary Conditions at 1 Year
How many patients identified as meeting criteria for genetic counseling, how many providers ordered genetic counseling, and how many patients adhere to the provider recommendation at 1 year.
Measured: Baseline, 3 and 12 months
Secondary outcomes (6)
Number of Participants Reporting Satisfaction When Using the MeTree Tool
The study will assess satisfaction associated with using the MeTree tool via 3 months survey after completing the family health history collection. The participant were asked their level of satisfaction with their experience using the web-based portal to enter information for their provider before their appointment
Measured: 3 months
Number of Participants Reporting Comfort When Using the MeTree Tool
The study will assess comfort associated with using the MeTree tool via 3 months survey after completing the family health history collection. The participant were asked if the MeTree program was easy to use
Measured: 3 months
Number of Participants Reporting Anxiety When Using the MeTree Tool
The study will assess anxiety associated with using the MeTree tool via 3 months survey after completing the family health history collection. The participant were asked if answering the questions made them anxious
Measured: 3 months
Number of Participants Reporting Preparedness When Using the MeTree Tool
The study will assess preparedness associated with using the MeTree tool via 3 months survey after completing the family health history collection. The participants were asked if they had enough information about some people in their family when completing MeTree
Measured: 3 months
Number of Physicians Who Gave Their Perceptions of Satisfaction and the MeTree Tool's Impact on Work Load
Evaluate physicians' perceptions of satisfaction, the MeTree tool's impact on work load and its effectiveness via survey and informal interviews at 3 months.
Measured: 3 months
Number of Providers Who Were Successfully Using MeTree in Their Clinical Work Flow
Evaluate which providers were 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)
Measured: 1 year
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted8 Oct 2013 (estimated)
- Study start11 Apr 2014
- Primary completion31 Oct 2017
- Study completion31 Oct 2017
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Posted resultsParticipant flow, outcome measures and adverse events reported by the sponsor.
- Publications (4)Papers the sponsor has linked to this study.
- Other trials for DiabetesStudies of the same condition, open and under way.
- More trials run by Duke UniversityThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Health services research
- Allocation
- Non-randomised
- Intervention model
- Single group
- Masking
- None (open label)
- Enrolment
- 2,620 participants (actual)
Sponsor and investigators
- Lead sponsor
- Duke University
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor
- Investigators
- Geoffrey S Ginsburg, MD PHD, Principal investigator, Duke University, Institute for Genome Science and PolicyLori Orlando, MD, Principal investigator, Duke University, Department of Medicine
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT01956773
- Sponsor's protocol ID
- Pro00043372
- Other IDs
- Pro00047666
- Acronym
- FHH
- Status last verified
- Jul 2023
- First submitted
- 30 Sep 2013
- Last updated
- 2 Aug 2023
- Results posted
- Yes, on ClinicalTrials.gov
- Data monitoring committee
- No
Publications
Wu RR, Myers RA, Neuner J, McCarty C, Haller IV, Harry M, Fulda KG, Dimmock D, Rakhra-Burris T, Buchanan A, Ginsburg GS, Orlando LA. Implementation-effectiveness trial of systematic family health history based risk assessment and impact on clinical disease prevention and surveillance activities. BMC Health Serv Res. 2022 Dec 6;22(1):1486. doi: 10.1186/s12913-022-08879-2.
PubMed 36474257Orlando LA, Wu RR, Myers RA, Neuner J, McCarty C, Haller IV, Harry M, Fulda KG, Dimmock D, Rakhra-Burris T, Buchanan A, Ginsburg GS. At the intersection of precision medicine and population health: an implementation-effectiveness study of family health history based systematic risk assessment in primary care. BMC Health Serv Res. 2020 Nov 7;20(1):1015. doi: 10.1186/s12913-020-05868-1.
PubMed 33160339Wu RR, Myers RA, Buchanan AH, Dimmock D, Fulda KG, Haller IV, Haga SB, Harry ML, McCarty C, Neuner J, Rakhra-Burris T, Sperber N, Voils CI, Ginsburg GS, Orlando LA. Effect of Sociodemographic Factors on Uptake of a Patient-Facing Information Technology Family Health History Risk Assessment Platform. Appl Clin Inform. 2019 Mar;10(2):180-188. doi: 10.1055/s-0039-1679926. Epub 2019 Mar 13.
PubMed 30866001Wu RR, Myers RA, McCarty CA, Dimmock D, Farrell M, Cross D, Chinevere TD, Ginsburg GS, Orlando LA; Family Health History Network. Protocol for the "Implementation, adoption, and utility of family history in diverse care settings" study. Implement Sci. 2015 Nov 24;10:163. doi: 10.1186/s13012-015-0352-8.
PubMed 26597091
Study at a glance
From the registry record, last updated by the sponsor on 2 Aug 2023. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Family Health History in Diverse Care Settings
- ClinicalTrials.gov ID
- NCT01956773
- Acronym / sponsor ID
- FHH / Pro00043372
- Conditions
- Diabetes, Heart Disease, Cancer
- Keywords
- family health history, prevention, genetic risk, clinical decision support
- Study type
- Interventional
- Recruitment status
- Completed
- Enrolment
- 2,620 participants (actual)
- Lead sponsor
- Duke UniversityUniversity, hospital or other
- Study start
- 11 Apr 2014 (actual)
- Primary completion
- 31 Oct 2017 (actual)
- Study completion
- 31 Oct 2017 (actual)
- First posted
- 8 Oct 2013 (estimated)
- Results
- Posted 8 Oct 2019
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
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.
Study design
- Primary purpose
- Health services research
- Allocation
- Non-randomised
- Intervention model
- Single group
- Masking
- None (open label)
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| MeTree - Patient | Experimental | Other: MeTreeMeTree collects family health history data and generates risk scores and specific risk-based recommendation for preventive care to patients as clinical decision support. |
| MeTree - Provider | Experimental | Other: MeTreeMeTree collects family health history data and generates risk scores and specific risk-based recommendation for preventive care to providers as clinical decision support. |
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (4 listed)
- Adults 18 years of age
- Scheduled for a well visit appointment in selected clinics
- English and Spanish speaking
- Able to provide informed consent
Key exclusion criteria (1 listed)
- None
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| MeTreeSoftware program collecting family health history and generating clinical decision support for risk-based preventive care | Other | MeTree - Patient, MeTree - Provider |
Primary outcome
Number of Participants With Uptake of Genetic Counseling for Those at Risk of Hereditary Conditions at 1 Year
Time frame: Baseline, 3 and 12 months
How many patients identified as meeting criteria for genetic counseling, how many providers ordered genetic counseling, and how many patients adhere to the provider recommendation at 1 year.
6 secondary outcomes
Number of Participants Reporting Satisfaction When Using the MeTree Tool
Time frame: 3 months
Number of Participants Reporting Comfort When Using the MeTree Tool
Time frame: 3 months
Number of Participants Reporting Anxiety When Using the MeTree Tool
Time frame: 3 months
Number of Participants Reporting Preparedness When Using the MeTree Tool
Time frame: 3 months
Number of Physicians Who Gave Their Perceptions of Satisfaction and the MeTree Tool's Impact on Work Load
Time frame: 3 months
Number of Providers Who Were Successfully Using MeTree in Their Clinical Work Flow
Time frame: 1 year
Results and safety
Loading the posted results from ClinicalTrials.gov…
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 2 Aug 2023.
- Posted resultsParticipant flow, baseline, all outcome measures and adverse events.
- Derived from this study: PubMed 36474257Wu RR, Myers RA, Neuner J, McCarty C, Haller IV, Harry M, Fulda KG, Dimmock D, Rakhra-Burris T, Buchanan A, Ginsburg GS, Orlando LA. Implementation-effectiveness trial of systematic family health history based risk assessment and impact on clinical disease prevention and surveillance activities. BMC Health Serv Res. 2022 Dec 6;22(1):1486. doi: 10.1186/s12913-022-08879-2.
- Derived from this study: PubMed 33160339Orlando LA, Wu RR, Myers RA, Neuner J, McCarty C, Haller IV, Harry M, Fulda KG, Dimmock D, Rakhra-Burris T, Buchanan A, Ginsburg GS. At the intersection of precision medicine and population health: an implementation-effectiveness study of family health history based systematic risk assessment in primary care. BMC Health Serv Res. 2020 Nov 7;20(1):1015. doi: 10.1186/s12913-020-05868-1.
- Derived from this study: PubMed 30866001Wu RR, Myers RA, Buchanan AH, Dimmock D, Fulda KG, Haller IV, Haga SB, Harry ML, McCarty C, Neuner J, Rakhra-Burris T, Sperber N, Voils CI, Ginsburg GS, Orlando LA. Effect of Sociodemographic Factors on Uptake of a Patient-Facing Information Technology Family Health History Risk Assessment Platform. Appl Clin Inform. 2019 Mar;10(2):180-188. doi: 10.1055/s-0039-1679926. Epub 2019 Mar 13.
- Derived from this study: PubMed 26597091Wu RR, Myers RA, McCarty CA, Dimmock D, Farrell M, Cross D, Chinevere TD, Ginsburg GS, Orlando LA; Family Health History Network. Protocol for the "Implementation, adoption, and utility of family history in diverse care settings" study. Implement Sci. 2015 Nov 24;10:163. doi: 10.1186/s13012-015-0352-8.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Geoffrey S Ginsburg, MD PHD principal investigator
Duke University, Institute for Genome Science and Policy
Lori Orlando, MD principal investigator
Duke University, Department of Medicine
5 sites in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing MeTree in people with Diabetes and Heart Disease, run by Duke University at 5 sites in United States.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 4 inclusion and 1 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 2 Aug 2023. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 5 sites in United States. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
Yes. Results are posted in the registry (first posted 8 Oct 2019). A summary is in the For doctors view, and the full results are on ClinicalTrials.gov.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Number of Participants With Uptake of Genetic Counseling for Those at Risk of Hereditary Conditions at 1 Year (time frame: Baseline, 3 and 12 months). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT01956773, which also lists 4 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 2 Aug 2023.