search
Back to results

North Carolina Genomic Evaluation by Next-generation Exome Sequencing, 2 (NCGENES2)

Primary Purpose

Epilepsy; Seizure, Neuromuscular Diseases, Brain Malformation

Status
Active
Phase
Not Applicable
Locations
United States
Study Type
Interventional
Intervention
Pre-visit prep
usual care + exome seq
Sponsored by
University of North Carolina, Chapel Hill
About
Eligibility
Locations
Arms
Outcomes
Full info

About this trial

This is an interventional diagnostic trial for Epilepsy; Seizure

Eligibility Criteria

0 Years - undefined (Child, Adult, Older Adult)All SexesDoes not accept healthy volunteers

Both children and parents are participants:

Inclusion Criteria:

Parents meeting the following criteria:

  1. Parent of a child who meets the criteria below
  2. At least 18 years old.
  3. Must be able to provide informed consent for child and self.
  4. Must be fluent in English or Spanish.

Children meeting the following criteria:

  1. Infants and children 15 years old or less.
  2. Referred for initial evaluation of a possible monogenic disorder OR
  3. Seen for evaluation of an undiagnosed disorder in a study-associated clinic.

Exclusion Criteria:

Parents:

  1. Younger than 18 years old.
  2. Unwilling to complete study surveys and other procedures.
  3. Have cognitive or other impairments precluding ability to provide giving informed consent.
  4. Not fluent in English or Spanish.
  5. Unable to attend all clinic visits

Children:

  1. Have a known genetic or non-genetic diagnosis (only referred for counseling or management).
  2. Medically unstable.

Sites / Locations

  • Mission Health
  • University of North Carolina at Chapel Hill
  • East Carolina University

Arms of the Study

Arm 1

Arm 2

Arm 3

Arm 4

Arm Type

Experimental

Experimental

Experimental

No Intervention

Arm Label

Pre-visit prep / usual care + exome seq

Pre-visit prep / usual care

No prep / usual care + exome seq

No prep / usual care

Arm Description

Participants randomized to pre-visit prep will receive a study packet with educational materials and a question prompt list. These participants will be instructed to review the materials, discuss them with family members if desired, use the question prompt list to select questions they would like to ask at clinic visit 1, and bring the list to their clinic visit 1 appointment. Participants will receive usual care and will be offered research exome sequencing.

Participants randomized to pre-visit prep will receive a study packet with educational materials and a question prompt list. These participants will be instructed to review the materials, discuss them with family members if desired, use the question prompt list to select questions they would like to ask at clinic visit 1, and bring the list to their clinic visit 1 appointment. Participants will receive usual care.

Participants in the no pre-visit preparation arm will receive a mailed card reminding them about their upcoming clinic visit. Participants will receive usual care and will be offered research exome sequencing.

Participants in the no pre-visit preparation arm will receive a mailed card reminding them about their upcoming clinic visit. Participants will receive usual care.

Outcomes

Primary Outcome Measures

Number of in-patient hospital admissions 1 year prior to return of results
Count of number of in-patient hospital admissions during 1 year prior to return of results using data obtained from the Electronic Medical Record. Coded by trained study staff.
Number of in-patient hospital admissions 1 year after return of results
Count of number of in-patient hospital admissions during 1 year after return of results using data obtained from the Electronic Medical Record. Coded by trained study staff.
Number of in-patient hospital days 1 year prior to return of results
Count of number of in-patient hospital days during 1 year prior to return of results using data obtained from the Electronic Medical Record. Coded by trained study staff.
Number of in-patient hospital days 1 year after return of results
Count of number of in-patient hospital days during 1 year after return of results using data obtained from the Electronic Medical Record. Coded by trained study staff.
Number of long-term care admissions 1 year prior to return of results
Count of number of long-term care admissions during 1 year prior to return of results using data obtained from the Electronic Medical Record. Coded by trained study staff.
Number of long-term care admissions 1 year after return of results
Count of number of long-term care admissions during 1 year after return of results using data obtained from the Electronic Medical Record. Coded by trained study staff.
Number of long-term care days 1 year prior to return of results
Count of number of long-term care days during 1 year prior to return of results using data obtained from the Electronic Medical Record. Coded by trained study staff.
Number of long-term care days 1 year after return of results
Count of number of long-term care days during 1 year after return of results using data obtained from the Electronic Medical Record. Coded by trained study staff.
Number of ER visits 1 year prior to return of results
Count of number of ER visits during 1 year prior to return of results using data obtained from the Electronic Medical Record. Coded by trained study staff.
Number of ER visits 1 year after return of results
Count of number of ER visits during 1 year after return of results using data obtained from the Electronic Medical Record. Coded by trained study staff.
Number of specialists visits 1 year prior to return of results
Count of number of specialists visits during 1 year prior to return of results using data obtained from the Electronic Medical Record. Coded by trained study staff.
Number of specialists visits 1 year after return of results
Count of number of specialists visits during 1 year after return of results using data obtained from the Electronic Medical Record. Coded by trained study staff.
Initial Patient Pediatric Quality of Life (Peds QL) score
The Peds QL Measurement Model for the Pediatric Quality of Inventory measures the core dimensions of health as delineated by the World Health Organization as well as role (school) functioning. The 23-item PedsQL Core Scales (Physical Functioning, Emotional Functioning, Social Functioning, and School Functioning) are developmentally appropriate surveys (Ages 2-4, 5-7, 8-12, 13-18) designed for parent proxy report. The 23 items are grouped together on the questionnaire, and are answered on a scale of 0-4. Items are reversed scored and linearly transformed to a 0-100 scale (0=100, 1=75, 2=50, 3=25, 4=0), so that higher scores indicate better Health-Related Quality of Life (HRQOL). This questionnaire will be self-administered at home.
Intermediate Patient Pediatric Quality of Life (Peds QL) score
The Peds QL Measurement Model for the Pediatric Quality of Inventory measures the core dimensions of health as delineated by the World Health Organization as well as role (school) functioning. The 23-item PedsQL Core Scales (Physical Functioning, Emotional Functioning, Social Functioning, and School Functioning) are developmentally appropriate surveys (Ages 2-4, 5-7, 8-12, 13-18) designed for parent proxy report. The 23 items are grouped together on the questionnaire, and are answered on a scale of 0-4. Items are reversed scored and linearly transformed to a 0-100 scale (0=100, 1=75, 2=50, 3=25, 4=0), so that higher scores indicate better HRQOL. This questionnaire will be interviewer-administered by telephone.
Final Patient Pediatric Quality of Life (Peds QL) score
The Peds QL Measurement Model for the Pediatric Quality of Inventory measures the core dimensions of health as delineated by the World Health Organization as well as role (school) functioning. The 23-item PedsQL Core Scales (Physical Functioning, Emotional Functioning, Social Functioning, and School Functioning) are developmentally appropriate surveys (Ages 2-4, 5-7, 8-12, 13-18) designed for parent proxy report. The 23 items are grouped together on the questionnaire, and are answered on a scale of 0-4. Items are reversed scored and linearly transformed to a 0-100 scale (0=100, 1=75, 2=50, 3=25, 4=0), so that higher scores indicate better HRQOL. This questionnaire will be interviewer administered by telephone.
Initial Caregiver QoL score
The Short-Form Health Survey (SF-12) questionnaire is a reliable measure of perceived health that describes the degree of general physical health status and mental health distress. It consists of 12 items, derived from the physical and mental domains. Scores have a range of 0 to 100 and were designed to have a mean score of 50 and a standard deviation of 10 in a representative sample of the US population, with higher scores indicating greater functioning. This questionnaire will be self-administered at home.
Intermediate Caregiver QoL score
The SF-12 questionnaire is a reliable measure of perceived health that describes the degree of general physical health status and mental health distress. It consists of 12 items, derived from the physical and mental domains. Scores have a range of 0 to 100 and were designed to have a mean score of 50 and a standard deviation of 10 in a representative sample of the US population, with higher scores indicating greater functioning. This questionnaire will be interviewer administered by telephone.
Final Caregiver QoL score
The SF-12 questionnaire is a reliable measure of perceived health that describes the degree of general physical health status and mental health distress. It consists of 12 items, derived from the physical and mental domains. Scores have a range of 0 to 100 and were designed to have a mean score of 50 and a standard deviation of 10 in a representative sample of the US population, with higher scores indicating greater functioning. This questionnaire will be interviewer administered by telephone.
Post-Clinic Visit 1 Mean Patient Centeredness Score
Patient centeredness scale, which measures the caregiver's perception of the level of patient centeredness of their visit with their child's provider (developed by Little et al., 2001). Self-administered in the clinic, immediately after clinic visit 1. Item responses will be coded as: 1=Very strongly disagree; 2=Strongly disagree; 3=Moderately disagree; 4=Neither agree nor disagree; 5=Moderately agree; 6=Strongly agree; 7=Very strongly agree. Mean scores will be calculated by summing the response values and dividing by the total number of items (21). Higher scores indicate stronger perceptions of patient centeredness.
Post-Return of Results Mean Patient Centeredness Score
Patient centeredness scale, which measures the caregiver's perception of the level of patient centeredness of their visit with their child's provider (developed by Little et al., 2001). Interviewer administered by telephone. Item responses will be coded as: 1=Very strongly disagree; 2=Strongly disagree; 3=Moderately disagree; 4=Neither agree nor disagree; 5=Moderately agree; 6=Strongly agree; 7=Very strongly agree. Mean scores will be calculated by summing the response values and dividing by the total number of items (21). Higher scores indicate stronger perceptions of patient centeredness.
Number of questions caregiver asks in Clinic Visit 1
Count of number of questions caregiver asks provider in the audio recording of clinic visit 1. Coded by trained study staff.

Secondary Outcome Measures

Initial Average Peds QL score for "missing school for not feeling well"
This is a single item measure from the Peds QL that will be answered on a scale of 0-4. Items are reversed scored and linearly transformed to a 0-100 scale (0=100, 1=75, 2=50, 3=25, 4=0), so that higher scores indicate better HRQOL for this single measure. This questionnaire will be self-administered at home.
Intermediate Average Peds QL score for "missing school for not feeling well"
This is a single item measure from the Peds QL that will be answered on a scale of 0-4. Items are reversed scored and linearly transformed to a 0-100 scale (0=100, 1=75, 2=50, 3=25, 4=0), so that higher scores indicate better HRQOL for this single measure. This questionnaire will be interviewer-administered by telephone. Edit on 3/18/21: this outcome will not be measured because of a protocol amendment to not include the PedsQL survey at 2-weeks post-RoR parent survey.
Final Average Peds QL score for "missing school for not feeling well"
This is a single item measure from the Peds QL that will be answered on a scale of 0-4. Items are reversed scored and linearly transformed to a 0-100 scale (0=100, 1=75, 2=50, 3=25, 4=0), so that higher scores indicate better HRQOL for this single measure. This questionnaire will be interviewer-administered by telephone.
Initial Average Peds QL score for "missing school for doctors visit"
This is a single item measure from the Peds QL that will be answered on a scale of 0-4. Items are reversed scored and linearly transformed to a 0-100 scale (0=100, 1=75, 2=50, 3=25, 4=0), so that higher scores indicate better HRQOL for this single measure. This measure will be included in the questionnaire that will be self-administered at home.
Intermediate Average Peds QL score for "missing school for doctors visit"
This is a single item measure from the Peds QL that will be answered on a scale of 0-4. Items are reversed scored and linearly transformed to a 0-100 scale (0=100, 1=75, 2=50, 3=25, 4=0), so that higher scores indicate better HRQOL for this single measure. This measure will be interviewer administered by telephone. Edit on 3/18/21: this outcome will not be measured because of a protocol amendment to not include the PedsQL survey at 2-weeks post-RoR parent survey.
Final Average Peds QL score for "missing school for doctors visit"
This is a single item measure from the Peds QL that will be answered on a scale of 0-4. Items are reversed scored and linearly transformed to a 0-100 scale (0=100, 1=75, 2=50, 3=25, 4=0), so that higher scores indicate better HRQOL for this single measure. This measure will be interviewer administered by telephone.
Initial Amount of work missed because of child's condition or treatments score
This is a single item measure that will be answered on a scale of 1-6 where 1=None, 2=Less than a week, 3=Between 1 and 4 weeks, 4= Between 4 and 8 weeks, 5=Between 8 and 12 weeks, 6=I stopped working altogether. Higher scores indicate greater amounts of work missed because of the child's condition or treatments. This measure will be included in the questionnaire that will be self-administered at home.
Intermediate Amount of work missed because of child's condition or treatments score
This is a single item measure that will be answered on a scale of 1-6 where 1=None, 2=Less than a week, 3=Between 1 and 4 weeks, 4= Between 4 and 8 weeks, 5=Between 8 and 12 weeks, 6=I stopped working altogether. Higher scores indicate greater amounts of work missed because of the child's condition or treatments. This measure will be interviewer-administered by telephone.
Final Amount of work missed because of child's condition or treatments score
This is a single item measure that will be answered on a scale of 1-6 where 1=None, 2=Less than a week, 3=Between 1 and 4 weeks, 4= Between 4 and 8 weeks, 5=Between 8 and 12 weeks, 6=I stopped working altogether. Higher scores indicate greater amounts of work missed because of the child's condition or treatments. This measure will be interviewer-administered by telephone.
Initial Difficulty with finishing normal work (including both work outside of the home and housework) because of child's condition or treatments score
This is a single item measure that will be answered on a scale of 1-5, where 1=Not at all, 2=A little bit, 3=Somewhat, 4=Quite a bit, 5=Very much. Higher scores indicate greater difficulty finishing normal work (including both work outside of the home and housework) because of child's condition or treatments. This measure will be included in the questionnaire that will be self-administered at home.
Intermediate Difficulty with finishing normal work (including both work outside of the home and housework) because of child's condition or treatments score
This is a single item measure that will be answered on a scale of 1-5, where 1=Not at all, 2=A little bit, 3=Somewhat, 4=Quite a bit, 5=Very much. Higher scores indicate greater difficulty finishing normal work (including both work outside of the home and housework) because of child's condition or treatments. This measure will be interviewer-administered by telephone.
Final Difficulty with finishing normal work (including both work outside of the home and housework) because of child's condition or treatments score
This is a single item measure that will be answered on a scale of 1-5, where 1=Not at all, 2=A little bit, 3=Somewhat, 4=Quite a bit, 5=Very much. Higher scores indicate greater difficulty finishing normal work (including both work outside of the home and housework) because of child's condition or treatments. This measure will be interviewer-administered by telephone.
Vital status at final f/u
Based on NC Vital Statistics, the child's vital status will be reported as living or deceased.
Child causes of death related to the primary condition
Based on NC Vital Statistics, child causes of death will be reported as related to the disorder of the child or not related to the disorder of the child.
Percent concordance of caregiver and provider reports of genetic or genomic test results
Concordance between caregiver and provider reports of whether patients' diagnostic results were positive, negative, or uncertain. Coded as a dichotomous variable: 0=discordant diagnostic reports; 1=concordant diagnostic reports.
Mean Baseline Self Efficacy Score
Self-efficacy scale, which measures caregivers' confidence in communicating with their child's provider. Self-administered as part of the intake questionnaire. Measured with adapted Decision Self Efficacy Scale (developed by O'Connor, 1995). Adapted wording from the original scale so items refer to general communication, as opposed to a specific decision. Shorted scale to 7 items from 11 since not all items were applicable to this study. Item responses will be coded as: 1=Not at all confident; 5=Very confident. Mean scores will be calculated by summing the response values and dividing by the total number of items (7). Higher scores indicate higher confidence in communicating with their child's provider.
Mean Pre-Clinic Visit 1 Self Efficacy Score
Self-efficacy scale, which measures caregivers' confidence in communicating with their child's provider. Self-administered as part of the intake questionnaire. Measured with adapted Decision Self Efficacy Scale (developed by O'Connor, 1995). Adapted wording from the original scale so items refer to general communication, as opposed to a specific decision. Shorted scale to 7 items from 11 since not all items were applicable to this study. Item responses will be coded as: 1=Not at all confident; 5=Very confident. Mean scores will be calculated by summing the response values and dividing by the total number of items (7). Higher scores indicate higher confidence in communicating with their child's provider.
Post-Return of Results Mean FACToR Uncertainty Subscale Score
Subscale of the Feeling About genomiC Testing Results measure assesses caregivers' level of uncertainty about their child's genetic test results (developed by Gallego et al., 2014). Interviewer administered by telephone. Item responses will be coded as: 1=Not at all; 2=A little; 3=Somewhat; 4=A good deal; 5=A great deal. Mean scores will be calculated by summing the response values and dividing by the total number of items (3). Higher scores indicate greater uncertainty about their child's genetic test results.

Full Information

First Posted
May 24, 2018
Last Updated
December 15, 2021
Sponsor
University of North Carolina, Chapel Hill
Collaborators
National Human Genome Research Institute (NHGRI), East Carolina University, Mission Health System, Asheville, NC
search

1. Study Identification

Unique Protocol Identification Number
NCT03548779
Brief Title
North Carolina Genomic Evaluation by Next-generation Exome Sequencing, 2
Acronym
NCGENES2
Official Title
North Carolina Genomic Evaluation by Next-generation Exome Sequencing, 2
Study Type
Interventional

2. Study Status

Record Verification Date
December 2021
Overall Recruitment Status
Active, not recruiting
Study Start Date
September 28, 2018 (Actual)
Primary Completion Date
May 2023 (Anticipated)
Study Completion Date
May 2023 (Anticipated)

3. Sponsor/Collaborators

Responsible Party, by Official Title
Sponsor
Name of the Sponsor
University of North Carolina, Chapel Hill
Collaborators
National Human Genome Research Institute (NHGRI), East Carolina University, Mission Health System, Asheville, NC

4. Oversight

Studies a U.S. FDA-regulated Drug Product
No
Studies a U.S. FDA-regulated Device Product
Yes
Data Monitoring Committee
No

5. Study Description

Brief Summary
The "North Carolina Clinical Genomic Evaluation by Next-gen Exome Sequencing, 2 (NCGENES 2)" study is part of a larger consortium project investigating the clinical utility, or net benefit of an intervention on patient and family well-being as well as diagnostic efficacy, management planning, and medical outcomes. A clinical trial will be implemented to compare (1) first-line exome sequencing to usual care and (2) participant pre-visit preparation to no pre-visit preparation. The study will use a randomized controlled design, with 2x2 factorial design, coupled with patient-reported outcomes and comprehensive clinical data collection addressing key outcomes, to determine the net impact of diagnostic results and secondary findings.
Detailed Description
The NCGENES 2 study is part of the "Clinical Sequencing Evidence-Generating Research (CSER2)" - Clinical Sites with Enhanced Diversity (U01), and brings together interdisciplinary experts from across North Carolina to address questions critical to the translation of genomic medicine to the care of patients with suspected genetic disorders. In this renewal of the initial NCGENES study, NCGENES 2 will carry out a clinical trial of exome sequencing as a diagnostic test to answer the next set of questions vital to making genome-scale sequencing a routine clinical tool. The study population will be drawn from a state-wide network of Clinical Genetics and Pediatric Neurology clinics -- clinical domains in which patients are enriched for phenotypes caused by heterogeneous genetic conditions. Exome sequencing and genome sequencing (ES/GS) are efficient means of establishing a molecular diagnosis in these populations, with yields of positive or possible diagnostic results in at least 30% of patients examined based on findings from NCGENES and other work. Evidence will be generated regarding the clinical utility of ES/GS using a prospective randomized controlled trial that compares usual care plus exome sequencing to usual care. Patient-reported data, electronic health records data, and administrative claims data will be used to evaluate defined health outcomes, in collaboration with experts in health economics and health services research, to address pressing questions about the utility of exome sequencing. Furthermore, an examination of communication between patients and physicians, and between physicians and laboratories, and how these critical interactions affect the utility of genomic sequencing will be conducted. A second, nested randomized trial (crossed with exome sequencing in a full-factorial design) will be incorporated to test the hypothesis that a theory-based, multi-component pre-clinic preparation intervention for patients will improve patient-centered outcomes. An "embedded Ethical, Legal, and Social Implications (ELSI)" component will provide feedback to providers regarding communication discrepancies to iteratively improve care. Finally, the challenges of integrating clinical data and genomic information across a state-wide network of sites and examining different models of interaction between genomic clinicians and molecular diagnostic laboratorians will be explored.

6. Conditions and Keywords

Primary Disease or Condition Being Studied in the Trial, or the Focus of the Study
Epilepsy; Seizure, Neuromuscular Diseases, Brain Malformation, Intellectual Disability, Autism Spectrum Disorder, Hypotonia, Inborn Errors of Metabolism, Movement Disorders, Genetic Disease, Development Delay, Chromosome Abnormality, Hearing Loss, Dysmorphic Features, Skeletal Dysplasia, Congenital Abnormality, Microcephaly, Macrocephaly

7. Study Design

Primary Purpose
Diagnostic
Study Phase
Not Applicable
Interventional Study Model
Parallel Assignment
Masking
Care ProviderOutcomes Assessor
Masking Description
The study coordinator will assign the first randomization to pre-visit preparation arm and care providers will not be told of the patient's pre-visit preparatory randomization arm prior to the first usual care visit. Randomization to exome sequencing will be performed after the first usual care visit by the study coordinator. Investigators will receive de-identified coded data and thus will not be able to link a patient name to an intervention arm. Some analyses will require individual-level randomization arm status to allow for comparison of parent questionnaire responses or health outcomes by arm - a major focus of this study. All interviewers and medical records staff conducting telephone surveys and/or medical records abstraction for clinical data will be blinded to the participants randomization status. Access to this information will be blocked in the electronic patient tracking status by study role.
Allocation
Randomized
Enrollment
806 (Actual)

8. Arms, Groups, and Interventions

Arm Title
Pre-visit prep / usual care + exome seq
Arm Type
Experimental
Arm Description
Participants randomized to pre-visit prep will receive a study packet with educational materials and a question prompt list. These participants will be instructed to review the materials, discuss them with family members if desired, use the question prompt list to select questions they would like to ask at clinic visit 1, and bring the list to their clinic visit 1 appointment. Participants will receive usual care and will be offered research exome sequencing.
Arm Title
Pre-visit prep / usual care
Arm Type
Experimental
Arm Description
Participants randomized to pre-visit prep will receive a study packet with educational materials and a question prompt list. These participants will be instructed to review the materials, discuss them with family members if desired, use the question prompt list to select questions they would like to ask at clinic visit 1, and bring the list to their clinic visit 1 appointment. Participants will receive usual care.
Arm Title
No prep / usual care + exome seq
Arm Type
Experimental
Arm Description
Participants in the no pre-visit preparation arm will receive a mailed card reminding them about their upcoming clinic visit. Participants will receive usual care and will be offered research exome sequencing.
Arm Title
No prep / usual care
Arm Type
No Intervention
Arm Description
Participants in the no pre-visit preparation arm will receive a mailed card reminding them about their upcoming clinic visit. Participants will receive usual care.
Intervention Type
Behavioral
Intervention Name(s)
Pre-visit prep
Intervention Description
Patient and provider surveys will be used to measure the impact of pre-visit preparation on the primary outcomes of engagement of participants in the clinical interaction and their view of the interaction as patient-centered, in addition to secondary outcomes that may be affected by this intervention (described above). The study investigators will test the hypothesis that patients will benefit from pre-visit preparation by: (1) rating their clinical encounters as more patient-centered and (2) asking more questions during their clinical encounters.
Intervention Type
Diagnostic Test
Intervention Name(s)
usual care + exome seq
Intervention Description
Provider surveys will be used to assess impact of exome sequencing on diagnostic thinking and management planning. Health utilization and condition-specific general clinical outcomes will be assessed from health records data.
Primary Outcome Measure Information:
Title
Number of in-patient hospital admissions 1 year prior to return of results
Description
Count of number of in-patient hospital admissions during 1 year prior to return of results using data obtained from the Electronic Medical Record. Coded by trained study staff.
Time Frame
1 year prior to return of results
Title
Number of in-patient hospital admissions 1 year after return of results
Description
Count of number of in-patient hospital admissions during 1 year after return of results using data obtained from the Electronic Medical Record. Coded by trained study staff.
Time Frame
1 year after return of results
Title
Number of in-patient hospital days 1 year prior to return of results
Description
Count of number of in-patient hospital days during 1 year prior to return of results using data obtained from the Electronic Medical Record. Coded by trained study staff.
Time Frame
1 year prior to return of results
Title
Number of in-patient hospital days 1 year after return of results
Description
Count of number of in-patient hospital days during 1 year after return of results using data obtained from the Electronic Medical Record. Coded by trained study staff.
Time Frame
1 year after return of results
Title
Number of long-term care admissions 1 year prior to return of results
Description
Count of number of long-term care admissions during 1 year prior to return of results using data obtained from the Electronic Medical Record. Coded by trained study staff.
Time Frame
1 year prior to return of results
Title
Number of long-term care admissions 1 year after return of results
Description
Count of number of long-term care admissions during 1 year after return of results using data obtained from the Electronic Medical Record. Coded by trained study staff.
Time Frame
1 year after return of results
Title
Number of long-term care days 1 year prior to return of results
Description
Count of number of long-term care days during 1 year prior to return of results using data obtained from the Electronic Medical Record. Coded by trained study staff.
Time Frame
1 year prior to return of results
Title
Number of long-term care days 1 year after return of results
Description
Count of number of long-term care days during 1 year after return of results using data obtained from the Electronic Medical Record. Coded by trained study staff.
Time Frame
1 year after return of results
Title
Number of ER visits 1 year prior to return of results
Description
Count of number of ER visits during 1 year prior to return of results using data obtained from the Electronic Medical Record. Coded by trained study staff.
Time Frame
1 year prior to return of results
Title
Number of ER visits 1 year after return of results
Description
Count of number of ER visits during 1 year after return of results using data obtained from the Electronic Medical Record. Coded by trained study staff.
Time Frame
1 year after return of results
Title
Number of specialists visits 1 year prior to return of results
Description
Count of number of specialists visits during 1 year prior to return of results using data obtained from the Electronic Medical Record. Coded by trained study staff.
Time Frame
1 year prior to return of results
Title
Number of specialists visits 1 year after return of results
Description
Count of number of specialists visits during 1 year after return of results using data obtained from the Electronic Medical Record. Coded by trained study staff.
Time Frame
1 year after return of results
Title
Initial Patient Pediatric Quality of Life (Peds QL) score
Description
The Peds QL Measurement Model for the Pediatric Quality of Inventory measures the core dimensions of health as delineated by the World Health Organization as well as role (school) functioning. The 23-item PedsQL Core Scales (Physical Functioning, Emotional Functioning, Social Functioning, and School Functioning) are developmentally appropriate surveys (Ages 2-4, 5-7, 8-12, 13-18) designed for parent proxy report. The 23 items are grouped together on the questionnaire, and are answered on a scale of 0-4. Items are reversed scored and linearly transformed to a 0-100 scale (0=100, 1=75, 2=50, 3=25, 4=0), so that higher scores indicate better Health-Related Quality of Life (HRQOL). This questionnaire will be self-administered at home.
Time Frame
4-6 weeks prior to clinic visit 1
Title
Intermediate Patient Pediatric Quality of Life (Peds QL) score
Description
The Peds QL Measurement Model for the Pediatric Quality of Inventory measures the core dimensions of health as delineated by the World Health Organization as well as role (school) functioning. The 23-item PedsQL Core Scales (Physical Functioning, Emotional Functioning, Social Functioning, and School Functioning) are developmentally appropriate surveys (Ages 2-4, 5-7, 8-12, 13-18) designed for parent proxy report. The 23 items are grouped together on the questionnaire, and are answered on a scale of 0-4. Items are reversed scored and linearly transformed to a 0-100 scale (0=100, 1=75, 2=50, 3=25, 4=0), so that higher scores indicate better HRQOL. This questionnaire will be interviewer-administered by telephone.
Time Frame
2 weeks after return of results
Title
Final Patient Pediatric Quality of Life (Peds QL) score
Description
The Peds QL Measurement Model for the Pediatric Quality of Inventory measures the core dimensions of health as delineated by the World Health Organization as well as role (school) functioning. The 23-item PedsQL Core Scales (Physical Functioning, Emotional Functioning, Social Functioning, and School Functioning) are developmentally appropriate surveys (Ages 2-4, 5-7, 8-12, 13-18) designed for parent proxy report. The 23 items are grouped together on the questionnaire, and are answered on a scale of 0-4. Items are reversed scored and linearly transformed to a 0-100 scale (0=100, 1=75, 2=50, 3=25, 4=0), so that higher scores indicate better HRQOL. This questionnaire will be interviewer administered by telephone.
Time Frame
6 months after return of results
Title
Initial Caregiver QoL score
Description
The Short-Form Health Survey (SF-12) questionnaire is a reliable measure of perceived health that describes the degree of general physical health status and mental health distress. It consists of 12 items, derived from the physical and mental domains. Scores have a range of 0 to 100 and were designed to have a mean score of 50 and a standard deviation of 10 in a representative sample of the US population, with higher scores indicating greater functioning. This questionnaire will be self-administered at home.
Time Frame
4-6 weeks prior to clinic visit 1
Title
Intermediate Caregiver QoL score
Description
The SF-12 questionnaire is a reliable measure of perceived health that describes the degree of general physical health status and mental health distress. It consists of 12 items, derived from the physical and mental domains. Scores have a range of 0 to 100 and were designed to have a mean score of 50 and a standard deviation of 10 in a representative sample of the US population, with higher scores indicating greater functioning. This questionnaire will be interviewer administered by telephone.
Time Frame
2 weeks after return of results
Title
Final Caregiver QoL score
Description
The SF-12 questionnaire is a reliable measure of perceived health that describes the degree of general physical health status and mental health distress. It consists of 12 items, derived from the physical and mental domains. Scores have a range of 0 to 100 and were designed to have a mean score of 50 and a standard deviation of 10 in a representative sample of the US population, with higher scores indicating greater functioning. This questionnaire will be interviewer administered by telephone.
Time Frame
6 months after return of results
Title
Post-Clinic Visit 1 Mean Patient Centeredness Score
Description
Patient centeredness scale, which measures the caregiver's perception of the level of patient centeredness of their visit with their child's provider (developed by Little et al., 2001). Self-administered in the clinic, immediately after clinic visit 1. Item responses will be coded as: 1=Very strongly disagree; 2=Strongly disagree; 3=Moderately disagree; 4=Neither agree nor disagree; 5=Moderately agree; 6=Strongly agree; 7=Very strongly agree. Mean scores will be calculated by summing the response values and dividing by the total number of items (21). Higher scores indicate stronger perceptions of patient centeredness.
Time Frame
Immediately after clinic 1 day of visit 1
Title
Post-Return of Results Mean Patient Centeredness Score
Description
Patient centeredness scale, which measures the caregiver's perception of the level of patient centeredness of their visit with their child's provider (developed by Little et al., 2001). Interviewer administered by telephone. Item responses will be coded as: 1=Very strongly disagree; 2=Strongly disagree; 3=Moderately disagree; 4=Neither agree nor disagree; 5=Moderately agree; 6=Strongly agree; 7=Very strongly agree. Mean scores will be calculated by summing the response values and dividing by the total number of items (21). Higher scores indicate stronger perceptions of patient centeredness.
Time Frame
2 weeks after return of results
Title
Number of questions caregiver asks in Clinic Visit 1
Description
Count of number of questions caregiver asks provider in the audio recording of clinic visit 1. Coded by trained study staff.
Time Frame
During clinic 1 day of visit 1
Secondary Outcome Measure Information:
Title
Initial Average Peds QL score for "missing school for not feeling well"
Description
This is a single item measure from the Peds QL that will be answered on a scale of 0-4. Items are reversed scored and linearly transformed to a 0-100 scale (0=100, 1=75, 2=50, 3=25, 4=0), so that higher scores indicate better HRQOL for this single measure. This questionnaire will be self-administered at home.
Time Frame
4-6 weeks prior to clinic visit 1
Title
Intermediate Average Peds QL score for "missing school for not feeling well"
Description
This is a single item measure from the Peds QL that will be answered on a scale of 0-4. Items are reversed scored and linearly transformed to a 0-100 scale (0=100, 1=75, 2=50, 3=25, 4=0), so that higher scores indicate better HRQOL for this single measure. This questionnaire will be interviewer-administered by telephone. Edit on 3/18/21: this outcome will not be measured because of a protocol amendment to not include the PedsQL survey at 2-weeks post-RoR parent survey.
Time Frame
2 weeks after return of results
Title
Final Average Peds QL score for "missing school for not feeling well"
Description
This is a single item measure from the Peds QL that will be answered on a scale of 0-4. Items are reversed scored and linearly transformed to a 0-100 scale (0=100, 1=75, 2=50, 3=25, 4=0), so that higher scores indicate better HRQOL for this single measure. This questionnaire will be interviewer-administered by telephone.
Time Frame
6 months after return of results
Title
Initial Average Peds QL score for "missing school for doctors visit"
Description
This is a single item measure from the Peds QL that will be answered on a scale of 0-4. Items are reversed scored and linearly transformed to a 0-100 scale (0=100, 1=75, 2=50, 3=25, 4=0), so that higher scores indicate better HRQOL for this single measure. This measure will be included in the questionnaire that will be self-administered at home.
Time Frame
4-6 weeks prior to clinic visit 1
Title
Intermediate Average Peds QL score for "missing school for doctors visit"
Description
This is a single item measure from the Peds QL that will be answered on a scale of 0-4. Items are reversed scored and linearly transformed to a 0-100 scale (0=100, 1=75, 2=50, 3=25, 4=0), so that higher scores indicate better HRQOL for this single measure. This measure will be interviewer administered by telephone. Edit on 3/18/21: this outcome will not be measured because of a protocol amendment to not include the PedsQL survey at 2-weeks post-RoR parent survey.
Time Frame
2 weeks after return of results
Title
Final Average Peds QL score for "missing school for doctors visit"
Description
This is a single item measure from the Peds QL that will be answered on a scale of 0-4. Items are reversed scored and linearly transformed to a 0-100 scale (0=100, 1=75, 2=50, 3=25, 4=0), so that higher scores indicate better HRQOL for this single measure. This measure will be interviewer administered by telephone.
Time Frame
6 months after return of results
Title
Initial Amount of work missed because of child's condition or treatments score
Description
This is a single item measure that will be answered on a scale of 1-6 where 1=None, 2=Less than a week, 3=Between 1 and 4 weeks, 4= Between 4 and 8 weeks, 5=Between 8 and 12 weeks, 6=I stopped working altogether. Higher scores indicate greater amounts of work missed because of the child's condition or treatments. This measure will be included in the questionnaire that will be self-administered at home.
Time Frame
4-6 weeks prior to clinic visit 1
Title
Intermediate Amount of work missed because of child's condition or treatments score
Description
This is a single item measure that will be answered on a scale of 1-6 where 1=None, 2=Less than a week, 3=Between 1 and 4 weeks, 4= Between 4 and 8 weeks, 5=Between 8 and 12 weeks, 6=I stopped working altogether. Higher scores indicate greater amounts of work missed because of the child's condition or treatments. This measure will be interviewer-administered by telephone.
Time Frame
2 weeks after return of results
Title
Final Amount of work missed because of child's condition or treatments score
Description
This is a single item measure that will be answered on a scale of 1-6 where 1=None, 2=Less than a week, 3=Between 1 and 4 weeks, 4= Between 4 and 8 weeks, 5=Between 8 and 12 weeks, 6=I stopped working altogether. Higher scores indicate greater amounts of work missed because of the child's condition or treatments. This measure will be interviewer-administered by telephone.
Time Frame
6 months after return of results
Title
Initial Difficulty with finishing normal work (including both work outside of the home and housework) because of child's condition or treatments score
Description
This is a single item measure that will be answered on a scale of 1-5, where 1=Not at all, 2=A little bit, 3=Somewhat, 4=Quite a bit, 5=Very much. Higher scores indicate greater difficulty finishing normal work (including both work outside of the home and housework) because of child's condition or treatments. This measure will be included in the questionnaire that will be self-administered at home.
Time Frame
4-6 weeks prior to clinic visit 1
Title
Intermediate Difficulty with finishing normal work (including both work outside of the home and housework) because of child's condition or treatments score
Description
This is a single item measure that will be answered on a scale of 1-5, where 1=Not at all, 2=A little bit, 3=Somewhat, 4=Quite a bit, 5=Very much. Higher scores indicate greater difficulty finishing normal work (including both work outside of the home and housework) because of child's condition or treatments. This measure will be interviewer-administered by telephone.
Time Frame
2 weeks after return of results
Title
Final Difficulty with finishing normal work (including both work outside of the home and housework) because of child's condition or treatments score
Description
This is a single item measure that will be answered on a scale of 1-5, where 1=Not at all, 2=A little bit, 3=Somewhat, 4=Quite a bit, 5=Very much. Higher scores indicate greater difficulty finishing normal work (including both work outside of the home and housework) because of child's condition or treatments. This measure will be interviewer-administered by telephone.
Time Frame
6 months after return of results
Title
Vital status at final f/u
Description
Based on NC Vital Statistics, the child's vital status will be reported as living or deceased.
Time Frame
final follow-up, up to approximately three years after clinic visit 1
Title
Child causes of death related to the primary condition
Description
Based on NC Vital Statistics, child causes of death will be reported as related to the disorder of the child or not related to the disorder of the child.
Time Frame
final follow-up up to approximately three years after clinic visit 1
Title
Percent concordance of caregiver and provider reports of genetic or genomic test results
Description
Concordance between caregiver and provider reports of whether patients' diagnostic results were positive, negative, or uncertain. Coded as a dichotomous variable: 0=discordant diagnostic reports; 1=concordant diagnostic reports.
Time Frame
2 weeks after return of results
Title
Mean Baseline Self Efficacy Score
Description
Self-efficacy scale, which measures caregivers' confidence in communicating with their child's provider. Self-administered as part of the intake questionnaire. Measured with adapted Decision Self Efficacy Scale (developed by O'Connor, 1995). Adapted wording from the original scale so items refer to general communication, as opposed to a specific decision. Shorted scale to 7 items from 11 since not all items were applicable to this study. Item responses will be coded as: 1=Not at all confident; 5=Very confident. Mean scores will be calculated by summing the response values and dividing by the total number of items (7). Higher scores indicate higher confidence in communicating with their child's provider.
Time Frame
4-6 weeks prior to clinic visit 1
Title
Mean Pre-Clinic Visit 1 Self Efficacy Score
Description
Self-efficacy scale, which measures caregivers' confidence in communicating with their child's provider. Self-administered as part of the intake questionnaire. Measured with adapted Decision Self Efficacy Scale (developed by O'Connor, 1995). Adapted wording from the original scale so items refer to general communication, as opposed to a specific decision. Shorted scale to 7 items from 11 since not all items were applicable to this study. Item responses will be coded as: 1=Not at all confident; 5=Very confident. Mean scores will be calculated by summing the response values and dividing by the total number of items (7). Higher scores indicate higher confidence in communicating with their child's provider.
Time Frame
Immediately before Clinic Visit 1
Title
Post-Return of Results Mean FACToR Uncertainty Subscale Score
Description
Subscale of the Feeling About genomiC Testing Results measure assesses caregivers' level of uncertainty about their child's genetic test results (developed by Gallego et al., 2014). Interviewer administered by telephone. Item responses will be coded as: 1=Not at all; 2=A little; 3=Somewhat; 4=A good deal; 5=A great deal. Mean scores will be calculated by summing the response values and dividing by the total number of items (3). Higher scores indicate greater uncertainty about their child's genetic test results.
Time Frame
2 weeks after return of results

10. Eligibility

Sex
All
Minimum Age & Unit of Time
0 Years
Accepts Healthy Volunteers
No
Eligibility Criteria
Both children and parents are participants: Inclusion Criteria: Parents meeting the following criteria: Parent of a child who meets the criteria below At least 18 years old. Must be able to provide informed consent for child and self. Must be fluent in English or Spanish. Children meeting the following criteria: Infants and children 15 years old or less. Referred for initial evaluation of a possible monogenic disorder OR Seen for evaluation of an undiagnosed disorder in a study-associated clinic. Exclusion Criteria: Parents: Younger than 18 years old. Unwilling to complete study surveys and other procedures. Have cognitive or other impairments precluding ability to provide giving informed consent. Not fluent in English or Spanish. Unable to attend all clinic visits Children: Have a known genetic or non-genetic diagnosis (only referred for counseling or management). Medically unstable.
Overall Study Officials:
First Name & Middle Initial & Last Name & Degree
Jeannette T Bensen, Ph.D
Organizational Affiliation
University of North Carolina, Chapel Hill
Official's Role
Study Director
First Name & Middle Initial & Last Name & Degree
Jonathan S Berg, MD, PhD
Organizational Affiliation
University of North Carolina, Chapel Hill
Official's Role
Principal Investigator
Facility Information:
Facility Name
Mission Health
City
Asheville
State/Province
North Carolina
ZIP/Postal Code
28801
Country
United States
Facility Name
University of North Carolina at Chapel Hill
City
Chapel Hill
State/Province
North Carolina
ZIP/Postal Code
27599
Country
United States
Facility Name
East Carolina University
City
Greenville
State/Province
North Carolina
ZIP/Postal Code
27858
Country
United States

12. IPD Sharing Statement

Plan to Share IPD
Yes
IPD Sharing Plan Description
This study will comply with NIH mandates to share genetic data via submission of raw genotype calls from whole exome sequencing to the database of Genotypes and Phenotypes (dbGaP). All data that is submitted to dbGaP, including individual participant data, is anonymous and includes demographic variables: age of onset, birthplace, sex, race, education level, age. Data is uploaded in batches to the dbGaP website. Individual-level de-identified coded data will be available to investigators outside of the study team at the end of the study after publication of primary results. Investigators will apply for data by formal submission of a letter of intent that will be reviewed and approved by the study leadership. Investigators of approved projects will sign an inter-institution data sharing agreement (for investigators outside of the studies parent institution). The analytic data set will be shared with the investigator via a secure server restricted by password access.
IPD Sharing Time Frame
Data will be shared following study completion and publication of primary study results.
IPD Sharing Access Criteria
Described above. Access will be by study leadership permission and under an inter-institutional data sharing agreement where relevant
IPD Sharing URL
http://www.med.unc.edu/ncgenes
Citations:
PubMed Identifier
23690237
Citation
Aboumatar HJ, Carson KA, Beach MC, Roter DL, Cooper LA. The impact of health literacy on desire for participation in healthcare, medical visit communication, and patient reported outcomes among patients with hypertension. J Gen Intern Med. 2013 Nov;28(11):1469-76. doi: 10.1007/s11606-013-2466-5. Epub 2013 May 21.
Results Reference
background
PubMed Identifier
25764213
Citation
ACMG Board of Directors. Clinical utility of genetic and genomic services: a position statement of the American College of Medical Genetics and Genomics. Genet Med. 2015 Jun;17(6):505-7. doi: 10.1038/gim.2015.41. Epub 2015 Mar 12.
Results Reference
background
PubMed Identifier
25637381
Citation
Amendola LM, Dorschner MO, Robertson PD, Salama JS, Hart R, Shirts BH, Murray ML, Tokita MJ, Gallego CJ, Kim DS, Bennett JT, Crosslin DR, Ranchalis J, Jones KL, Rosenthal EA, Jarvik ER, Itsara A, Turner EH, Herman DS, Schleit J, Burt A, Jamal SM, Abrudan JL, Johnson AD, Conlin LK, Dulik MC, Santani A, Metterville DR, Kelly M, Foreman AK, Lee K, Taylor KD, Guo X, Crooks K, Kiedrowski LA, Raffel LJ, Gordon O, Machini K, Desnick RJ, Biesecker LG, Lubitz SA, Mulchandani S, Cooper GM, Joffe S, Richards CS, Yang Y, Rotter JI, Rich SS, O'Donnell CJ, Berg JS, Spinner NB, Evans JP, Fullerton SM, Leppig KA, Bennett RL, Bird T, Sybert VP, Grady WM, Tabor HK, Kim JH, Bamshad MJ, Wilfond B, Motulsky AG, Scott CR, Pritchard CC, Walsh TD, Burke W, Raskind WH, Byers P, Hisama FM, Rehm H, Nickerson DA, Jarvik GP. Actionable exomic incidental findings in 6503 participants: challenges of variant classification. Genome Res. 2015 Mar;25(3):305-15. doi: 10.1101/gr.183483.114. Epub 2015 Jan 30.
Results Reference
background
PubMed Identifier
21521213
Citation
Barnett ML, Landon BE, O'Malley AJ, Keating NL, Christakis NA. Mapping physician networks with self-reported and administrative data. Health Serv Res. 2011 Oct;46(5):1592-609. doi: 10.1111/j.1475-6773.2011.01262.x. Epub 2011 Apr 26.
Results Reference
background
PubMed Identifier
15822248
Citation
Bates BR. Public culture and public understanding of genetics: a focus group study. Public Underst Sci. 2005 Jan;14(1):47-65. doi: 10.1177/0963662505048409.
Results Reference
background
PubMed Identifier
22995991
Citation
Berg JS, Adams M, Nassar N, Bizon C, Lee K, Schmitt CP, Wilhelmsen KC, Evans JP. An informatics approach to analyzing the incidentalome. Genet Med. 2013 Jan;15(1):36-44. doi: 10.1038/gim.2012.112. Epub 2012 Sep 20.
Results Reference
background
PubMed Identifier
26270767
Citation
Berg JS, Foreman AK, O'Daniel JM, Booker JK, Boshe L, Carey T, Crooks KR, Jensen BC, Juengst ET, Lee K, Nelson DK, Powell BC, Powell CM, Roche MI, Skrzynia C, Strande NT, Weck KE, Wilhelmsen KC, Evans JP. A semiquantitative metric for evaluating clinical actionability of incidental or secondary findings from genome-scale sequencing. Genet Med. 2016 May;18(5):467-75. doi: 10.1038/gim.2015.104. Epub 2015 Aug 13.
Results Reference
background
PubMed Identifier
24056508
Citation
Black KZ, Hardy CY, De Marco M, Ammerman AS, Corbie-Smith G, Council B, Ellis D, Eng E, Harris B, Jackson M, Jean-Baptiste J, Kearney W, Legerton M, Parker D, Wynn M, Lightfoot A. Beyond incentives for involvement to compensation for consultants: increasing equity in CBPR approaches. Prog Community Health Partnersh. 2013 Fall;7(3):263-70. doi: 10.1353/cpr.2013.0040.
Results Reference
background
PubMed Identifier
25082386
Citation
Brandes K, Linn AJ, Butow PN, van Weert JC. The characteristics and effectiveness of Question Prompt List interventions in oncology: a systematic review of the literature. Psychooncology. 2015 Mar;24(3):245-52. doi: 10.1002/pon.3637. Epub 2014 Jul 31.
Results Reference
background
PubMed Identifier
26055985
Citation
Burkett K, Morris E, Manning-Courtney P, Anthony J, Shambley-Ebron D. African American families on autism diagnosis and treatment: the influence of culture. J Autism Dev Disord. 2015 Oct;45(10):3244-54. doi: 10.1007/s10803-015-2482-x.
Results Reference
background
PubMed Identifier
20098329
Citation
Bussey-Jones J, Garrett J, Henderson G, Moloney M, Blumenthal C, Corbie-Smith G. The role of race and trust in tissue/blood donation for genetic research. Genet Med. 2010 Feb;12(2):116-21. doi: 10.1097/GIM.0b013e3181cd6689.
Results Reference
background
PubMed Identifier
16113533
Citation
Catz DS, Green NS, Tobin JN, Lloyd-Puryear MA, Kyler P, Umemoto A, Cernoch J, Brown R, Wolman F. Attitudes about genetics in underserved, culturally diverse populations. Community Genet. 2005;8(3):161-72. doi: 10.1159/000086759.
Results Reference
background
PubMed Identifier
17308275
Citation
Clayton JM, Butow PN, Tattersall MH, Devine RJ, Simpson JM, Aggarwal G, Clark KJ, Currow DC, Elliott LM, Lacey J, Lee PG, Noel MA. Randomized controlled trial of a prompt list to help advanced cancer patients and their caregivers to ask questions about prognosis and end-of-life care. J Clin Oncol. 2007 Feb 20;25(6):715-23. doi: 10.1200/JCO.2006.06.7827.
Results Reference
background
PubMed Identifier
12437405
Citation
Corbie-Smith G, Thomas SB, St George DM. Distrust, race, and research. Arch Intern Med. 2002 Nov 25;162(21):2458-63. doi: 10.1001/archinte.162.21.2458.
Results Reference
background
PubMed Identifier
16741351
Citation
Cunningham-Burley S. Public knowledge and public trust. Community Genet. 2006;9(3):204-10. doi: 10.1159/000092658.
Results Reference
background
PubMed Identifier
22572916
Citation
DeWalt DA, Schillinger D, Ruo B, Bibbins-Domingo K, Baker DW, Holmes GM, Weinberger M, Macabasco-O'Connell A, Broucksou K, Hawk V, Grady KL, Erman B, Sueta CA, Chang PP, Cene CW, Wu JR, Jones CD, Pignone M. Multisite randomized trial of a single-session versus multisession literacy-sensitive self-care intervention for patients with heart failure. Circulation. 2012 Jun 12;125(23):2854-62. doi: 10.1161/CIRCULATIONAHA.111.081745. Epub 2012 May 9.
Results Reference
background
PubMed Identifier
20104053
Citation
Dobransky-Fasiska D, Brown C, Pincus HA, Nowalk MP, Wieland M, Parker LS, Cruz M, McMurray ML, Mulsant B, Reynolds CF 3rd; RNDC-Community Partners. Developing a community-academic partnership to improve recognition and treatment of depression in underserved African American and white elders. Am J Geriatr Psychiatry. 2009 Nov;17(11):953-64. doi: 10.1097/JGP.0b013e31818f3a7e.
Results Reference
background
PubMed Identifier
24736389
Citation
Durand MA, Carpenter L, Dolan H, Bravo P, Mann M, Bunn F, Elwyn G. Do interventions designed to support shared decision-making reduce health inequalities? A systematic review and meta-analysis. PLoS One. 2014 Apr 15;9(4):e94670. doi: 10.1371/journal.pone.0094670. eCollection 2014.
Results Reference
background
PubMed Identifier
20430566
Citation
Eggly S, Harper FW, Penner LA, Gleason MJ, Foster T, Albrecht TL. Variation in question asking during cancer clinical interactions: a potential source of disparities in access to information. Patient Educ Couns. 2011 Jan;82(1):63-8. doi: 10.1016/j.pec.2010.04.008. Epub 2010 Apr 28.
Results Reference
background
PubMed Identifier
27070190
Citation
Elder JH, Brasher S, Alexander B. Identifying the Barriers to Early Diagnosis and Treatment in Underserved Individuals with Autism Spectrum Disorders (ASD) and Their Families: A Qualitative Study. Issues Ment Health Nurs. 2016 Jun;37(6):412-20. doi: 10.3109/01612840.2016.1153174. Epub 2016 Apr 12.
Results Reference
background
PubMed Identifier
21403134
Citation
Epstein RM, Street RL Jr. The values and value of patient-centered care. Ann Fam Med. 2011 Mar-Apr;9(2):100-3. doi: 10.1370/afm.1239. No abstract available.
Results Reference
background
PubMed Identifier
27195307
Citation
Evans JP, Wilhelmsen KC, Berg J, Schmitt CP, Krishnamurthy A, Fecho K, Ahalt SC. A New Framework and Prototype Solution for Clinical Decision Support and Research in Genomics and Other Data-intensive Fields of Medicine. EGEMS (Wash DC). 2016 Apr 19;4(1):1198. doi: 10.13063/2327-9214.1198. eCollection 2016.
Results Reference
background
PubMed Identifier
23739673
Citation
Evans JP. Return of results to the families of children in genomic sequencing: tallying risks and benefits. Genet Med. 2013 Jun;15(6):435-6. doi: 10.1038/gim.2013.54. No abstract available.
Results Reference
background
PubMed Identifier
23722872
Citation
Evans JP. When is a medical finding "incidental"? Genet Med. 2013 Jul;15(7):515-6. doi: 10.1038/gim.2013.74. Epub 2013 May 30. No abstract available.
Results Reference
background
PubMed Identifier
24151055
Citation
Facio FM, Lee K, O'Daniel JM. A genetic counselor's guide to using next-generation sequencing in clinical practice. J Genet Couns. 2014 Aug;23(4):455-62. doi: 10.1007/s10897-013-9662-7. Epub 2013 Oct 24.
Results Reference
background
PubMed Identifier
24509643
Citation
Fan Z, Greenwood R, Felix AC, Shiloh-Malawsky Y, Tennison M, Roche M, Crooks K, Weck K, Wilhelmsen K, Berg J, Evans J. GCH1 heterozygous mutation identified by whole-exome sequencing as a treatable condition in a patient presenting with progressive spastic paraplegia. J Neurol. 2014 Mar;261(3):622-4. doi: 10.1007/s00415-014-7265-3. Epub 2014 Feb 8. No abstract available.
Results Reference
background
PubMed Identifier
24316776
Citation
Foreman AK, Lee K, Evans JP. The NCGENES project: exploring the new world of genome sequencing. N C Med J. 2013 Nov-Dec;74(6):500-4.
Results Reference
background
PubMed Identifier
25123744
Citation
Frey LJ, Lenert L, Lopez-Campos G. EHR Big Data Deep Phenotyping. Contribution of the IMIA Genomic Medicine Working Group. Yearb Med Inform. 2014 Aug 15;9(1):206-11. doi: 10.15265/IY-2014-0006.
Results Reference
background
PubMed Identifier
23636887
Citation
Girdea M, Dumitriu S, Fiume M, Bowdin S, Boycott KM, Chenier S, Chitayat D, Faghfoury H, Meyn MS, Ray PN, So J, Stavropoulos DJ, Brudno M. PhenoTips: patient phenotyping software for clinical and research use. Hum Mutat. 2013 Aug;34(8):1057-65. doi: 10.1002/humu.22347. Epub 2013 May 24.
Results Reference
background
PubMed Identifier
16909424
Citation
Gordon HS, Street RL Jr, Sharf BF, Souchek J. Racial differences in doctors' information-giving and patients' participation. Cancer. 2006 Sep 15;107(6):1313-20. doi: 10.1002/cncr.22122.
Results Reference
background
PubMed Identifier
17564547
Citation
Gozu A, Beach MC, Price EG, Gary TL, Robinson K, Palacio A, Smarth C, Jenckes M, Feuerstein C, Bass EB, Powe NR, Cooper LA. Self-administered instruments to measure cultural competence of health professionals: a systematic review. Teach Learn Med. 2007 Spring;19(2):180-90. doi: 10.1080/10401330701333654.
Results Reference
background
PubMed Identifier
23788249
Citation
Green RC, Berg JS, Grody WW, Kalia SS, Korf BR, Martin CL, McGuire AL, Nussbaum RL, O'Daniel JM, Ormond KE, Rehm HL, Watson MS, Williams MS, Biesecker LG; American College of Medical Genetics and Genomics. ACMG recommendations for reporting of incidental findings in clinical exome and genome sequencing. Genet Med. 2013 Jul;15(7):565-74. doi: 10.1038/gim.2013.73. Epub 2013 Jun 20. Erratum In: Genet Med. 2017 May;19(5):606.
Results Reference
background
PubMed Identifier
25697637
Citation
Haase R, Michie M, Skinner D. Flexible positions, managed hopes: the promissory bioeconomy of a whole genome sequencing cancer study. Soc Sci Med. 2015 Apr;130:146-53. doi: 10.1016/j.socscimed.2015.02.016. Epub 2015 Feb 13.
Results Reference
background
PubMed Identifier
23435715
Citation
Haga SB, Rosanbalm KD, Boles L, Tindall GM, Livingston TM, O'Daniel JM. Promoting public awareness and engagement in genome sciences. J Genet Couns. 2013 Aug;22(4):508-16. doi: 10.1007/s10897-013-9577-3. Epub 2013 Feb 23.
Results Reference
background
PubMed Identifier
27467456
Citation
Hartz SM, Quan T, Ibiebele A, Fisher SL, Olfson E, Salyer P, Bierut LJ. The significant impact of education, poverty, and race on Internet-based research participant engagement. Genet Med. 2017 Feb;19(2):240-243. doi: 10.1038/gim.2016.91. Epub 2016 Jul 28.
Results Reference
background
PubMed Identifier
25950735
Citation
Henderson GE. With great (participant) rights comes great (researcher) responsibility. Genet Med. 2016 Feb;18(2):124-5. doi: 10.1038/gim.2015.67. Epub 2015 May 7. No abstract available.
Results Reference
background
PubMed Identifier
21403143
Citation
Hudon C, Fortin M, Haggerty JL, Lambert M, Poitras ME. Measuring patients' perceptions of patient-centered care: a systematic review of tools for family medicine. Ann Fam Med. 2011 Mar-Apr;9(2):155-64. doi: 10.1370/afm.1226.
Results Reference
background
PubMed Identifier
24939335
Citation
Isaacson M. Clarifying concepts: cultural humility or competency. J Prof Nurs. 2014 May-Jun;30(3):251-8. doi: 10.1016/j.profnurs.2013.09.011.
Results Reference
background
PubMed Identifier
24305642
Citation
Joseph-Williams N, Elwyn G, Edwards A. Knowledge is not power for patients: a systematic review and thematic synthesis of patient-reported barriers and facilitators to shared decision making. Patient Educ Couns. 2014 Mar;94(3):291-309. doi: 10.1016/j.pec.2013.10.031. Epub 2013 Nov 9.
Results Reference
background
PubMed Identifier
27043759
Citation
Kaphingst KA, Blanchard M, Milam L, Pokharel M, Elrick A, Goodman MS. Relationships Between Health Literacy and Genomics-Related Knowledge, Self-Efficacy, Perceived Importance, and Communication in a Medically Underserved Population. J Health Commun. 2016;21 Suppl 1(Suppl 1):58-68. doi: 10.1080/10810730.2016.1144661.
Results Reference
background
PubMed Identifier
17431697
Citation
Katz MG, Jacobson TA, Veledar E, Kripalani S. Patient literacy and question-asking behavior during the medical encounter: a mixed-methods analysis. J Gen Intern Med. 2007 Jun;22(6):782-6. doi: 10.1007/s11606-007-0184-6. Epub 2007 Apr 12.
Results Reference
background
PubMed Identifier
18632672
Citation
Kinnersley P, Edwards A, Hood K, Ryan R, Prout H, Cadbury N, MacBeth F, Butow P, Butler C. Interventions before consultations to help patients address their information needs by encouraging question asking: systematic review. BMJ. 2008 Jul 16;337:a485. doi: 10.1136/bmj.a485.
Results Reference
background
PubMed Identifier
20407217
Citation
Lea DH, Kaphingst KA, Bowen D, Lipkus I, Hadley DW. Communicating genetic and genomic information: health literacy and numeracy considerations. Public Health Genomics. 2011;14(4-5):279-89. doi: 10.1159/000294191. Epub 2010 Apr 20.
Results Reference
background
PubMed Identifier
25910913
Citation
Lee K, Berg JS, Milko L, Crooks K, Lu M, Bizon C, Owen P, Wilhelmsen KC, Weck KE, Evans JP, Garg S. High Diagnostic Yield of Whole Exome Sequencing in Participants With Retinal Dystrophies in a Clinical Ophthalmology Setting. Am J Ophthalmol. 2015 Aug;160(2):354-363.e9. doi: 10.1016/j.ajo.2015.04.026. Epub 2015 Apr 22.
Results Reference
background
PubMed Identifier
26646840
Citation
Leos C, Khan CM, Rini C. Understanding self-management behaviors in symptomatic adults with uncertain etiology using an illness perceptions framework. J Behav Med. 2016 Apr;39(2):310-9. doi: 10.1007/s10865-015-9698-2. Epub 2015 Dec 8.
Results Reference
background
PubMed Identifier
4193833
Citation
Nutter RL, Bullas LR, Schultz RL. Some properties of five new Salmonella bacteriophages. J Virol. 1970 Jun;5(6):754-64. doi: 10.1128/JVI.5.6.754-764.1970.
Results Reference
background
PubMed Identifier
22846728
Citation
O'Daniel JM, Lee K. Whole-genome and whole-exome sequencing in hereditary cancer: impact on genetic testing and counseling. Cancer J. 2012 Jul-Aug;18(4):287-92. doi: 10.1097/PPO.0b013e318262467e.
Results Reference
background
PubMed Identifier
22241095
Citation
O'Daniel JM, Rosanbalm KD, Boles L, Tindall GM, Livingston TM, Haga SB. Enhancing geneticists' perspectives of the public through community engagement. Genet Med. 2012 Feb;14(2):243-9. doi: 10.1038/gim.2011.29. Epub 2012 Jan 19.
Results Reference
background
PubMed Identifier
27216766
Citation
Pickard KE, Kilgore AN, Ingersoll BR. Using Community Partnerships to Better Understand the Barriers to Using an Evidence-Based, Parent-Mediated Intervention for Autism Spectrum Disorder in a Medicaid System. Am J Community Psychol. 2016 Jun;57(3-4):391-403. doi: 10.1002/ajcp.12050. Epub 2016 May 19.
Results Reference
background
PubMed Identifier
26566463
Citation
Roche MI, Berg JS. Incidental Findings with Genomic Testing: Implications for Genetic Counseling Practice. Curr Genet Med Rep. 2015;3(4):166-176. doi: 10.1007/s40142-015-0075-9. Epub 2015 Aug 25.
Results Reference
background
PubMed Identifier
24093361
Citation
Rodriguez V, Andrade AD, Garcia-Retamero R, Anam R, Rodriguez R, Lisigurski M, Sharit J, Ruiz JG. Health literacy, numeracy, and graphical literacy among veterans in primary care and their effect on shared decision making and trust in physicians. J Health Commun. 2013;18 Suppl 1(Suppl 1):273-89. doi: 10.1080/10810730.2013.829137.
Results Reference
background
PubMed Identifier
26104993
Citation
Sansoni JE, Grootemaat P, Duncan C. Question Prompt Lists in health consultations: A review. Patient Educ Couns. 2015 Jun 3:S0738-3991(15)00258-X. doi: 10.1016/j.pec.2015.05.015. Online ahead of print.
Results Reference
background
PubMed Identifier
18087058
Citation
Sawaya GF, Guirguis-Blake J, LeFevre M, Harris R, Petitti D; U.S. Preventive Services Task Force. Update on the methods of the U.S. Preventive Services Task Force: estimating certainty and magnitude of net benefit. Ann Intern Med. 2007 Dec 18;147(12):871-5. doi: 10.7326/0003-4819-147-12-200712180-00007.
Results Reference
background
PubMed Identifier
16442453
Citation
Say R, Murtagh M, Thomson R. Patients' preference for involvement in medical decision making: a narrative review. Patient Educ Couns. 2006 Feb;60(2):102-14. doi: 10.1016/j.pec.2005.02.003.
Results Reference
background
PubMed Identifier
27083775
Citation
Seifert BA, O'Daniel JM, Amin K, Marchuk DS, Patel NM, Parker JS, Hoyle AP, Mose LE, Marron A, Hayward MC, Bizon C, Wilhelmsen KC, Evans JP, Earp HS 3rd, Sharpless NE, Hayes DN, Berg JS. Germline Analysis from Tumor-Germline Sequencing Dyads to Identify Clinically Actionable Secondary Findings. Clin Cancer Res. 2016 Aug 15;22(16):4087-4094. doi: 10.1158/1078-0432.CCR-16-0015. Epub 2016 Apr 15.
Results Reference
background
PubMed Identifier
24251456
Citation
Skrzynia C, Berg JS, Willis MS, Jensen BC. Genetics and heart failure: a concise guide for the clinician. Curr Cardiol Rev. 2015;11(1):10-7. doi: 10.2174/1573403x09666131117170446.
Results Reference
background
PubMed Identifier
27362341
Citation
Strande NT, Berg JS. Defining the Clinical Value of a Genomic Diagnosis in the Era of Next-Generation Sequencing. Annu Rev Genomics Hum Genet. 2016 Aug 31;17:303-32. doi: 10.1146/annurev-genom-083115-022348. Epub 2016 May 26.
Results Reference
background
PubMed Identifier
25604808
Citation
van Nimwegen KJ, Schieving JH, Willemsen MA, Veltman JA, van der Burg S, van der Wilt GJ, Grutters JP. The diagnostic pathway in complex paediatric neurology: a cost analysis. Eur J Paediatr Neurol. 2015 Mar;19(2):233-9. doi: 10.1016/j.ejpn.2014.12.014. Epub 2014 Dec 29.
Results Reference
background
PubMed Identifier
15653242
Citation
Willems S, De Maesschalck S, Deveugele M, Derese A, De Maeseneer J. Socio-economic status of the patient and doctor-patient communication: does it make a difference? Patient Educ Couns. 2005 Feb;56(2):139-46. doi: 10.1016/j.pec.2004.02.011.
Results Reference
background
PubMed Identifier
26404703
Citation
Zamora I, Williams ME, Higareda M, Wheeler BY, Levitt P. Brief Report: Recruitment and Retention of Minority Children for Autism Research. J Autism Dev Disord. 2016 Feb;46(2):698-703. doi: 10.1007/s10803-015-2603-6.
Results Reference
background
PubMed Identifier
34127041
Citation
Staley BS, Milko LV, Waltz M, Griesemer I, Mollison L, Grant TL, Farnan L, Roche M, Navas A, Lightfoot A, Foreman AKM, O'Daniel JM, O'Neill SC, Lin FC, Roman TS, Brandt A, Powell BC, Rini C, Berg JS, Bensen JT. Evaluating the clinical utility of early exome sequencing in diverse pediatric outpatient populations in the North Carolina Clinical Genomic Evaluation of Next-generation Exome Sequencing (NCGENES) 2 study: a randomized controlled trial. Trials. 2021 Jun 14;22(1):395. doi: 10.1186/s13063-021-05341-2.
Results Reference
derived
Links:
URL
https://www.qualitymeasures.ahrq.gov/summaries/summary/48964
Description
Agency for Healthcare Research and Quality. Ambulatory care sensitive conditions: age-standardized acute care hospitalization rate for conditions where appropriate ambulatory care prevents or reduces the need for admission to the hospital
URL
http://www.nature.com/gim/journal/vaop/ncurrent/full/gim201622a.html
Description
Ales M, Luca L, Marija V, Gorazd R, Karin W, Ana B, Alenka H, Peterlin B. Phenotype-driven gene target definition in clinical genome-wide sequencing data interpretation. Genet Med [Internet]. 2016 Mar 31 [cited 2016 Aug 3]

Learn more about this trial

North Carolina Genomic Evaluation by Next-generation Exome Sequencing, 2

We'll reach out to this number within 24 hrs