Skip to content

Cancer Health Assessments Reaching Many

Exome Sequencing in Diverse Populations in Colorado & Oregon

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT03426878
Acronym
CHARM
Enrollment
967
Registered
2018-02-08
Start date
2018-08-15
Completion date
2022-02-01
Last updated
2025-09-11

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Hereditary Cancer Syndrome

Keywords

Lynch syndrome, Hereditary breast and ovarian cancer

Brief summary

The CHARM (Cancer Health Assessment Reaching Many) study will assess the utility of clinical exome sequencing and how it affects care in diverse populations. The study population includes adults at risk for hereditary cancer syndromes. The primary objective is to implement a hereditary cancer risk assessment program in healthy 18-49 year-olds in primary care settings within a vertically integrated health delivery system (Kaiser Permanente) and a federal qualified health center (Denver Health). The investigators will assess clinical exome sequencing implementation and interpretation, as well as tailored interactions for low health literacy including a contextualized consent process, and a modified approach to results disclosure and genetic counseling. The investigators will also assess the clinical utility (healthcare utilization and adherence to recommended care) and personal utility of primary and additional results from clinical exome sequencing, and evaluate the ethical and policy implications of considering personal utility of genomic information decisions for health care coverage.

Detailed description

Aim 1. Implement a hereditary cancer risk-assessment program in healthy 18-49-year-old adults in primary care settings, with stakeholder input, and offer exome sequencing to clarify risk. Aim 1A. Identify and recruit 880 adult participants at-risk of a hereditary cancer syndrome. Aim 1B: Generate medical exome sequence data and interpret variants. Aim 1C: Disclose findings from medical exome sequencing, incorporate results into the electronic medical record (EMR), and facilitate downstream patient management and coordination of care with the provider. Aim 1D. Engage stakeholders to tailor and optimize the program in diverse populations. Aim 2. Evaluate and tailor for diverse populations the critical interactions in the program, including the consent process, choices for reporting additional findings, and the response to results disclosure. Aim 2A. Design, implement, and assess a contextualized consent process to support informed decision-making about participation in research about medical exome sequencing. Aim 2B. Design, implement, and compare a novel decision aid in the second half of the study for selecting the optional categories of additional findings with the approach we developed in CSER1 that offered a category checklist. Aim 2C. Design, implement, and compare a modified (communication-focused) approach to results disclosure, genetic counseling, and decision making with a standard (information-focused) approach. Aim 3. Evaluate the clinical utility (including personal utility) of using exome sequencing to diagnose individuals with hereditary cancer syndromes and provide additional findings. Aim 3A: Measure the yield of reportable findings for hereditary cancer syndromes and additional findings. Aim 3B: Evaluate subsequent healthcare utilization for all study participants and adherence to recommended care among individuals who are identified with a hereditary cancer syndrome in diverse settings. Aim 3C. Assess the personal utility of exome sequencing, including primary and additional findings. Aim 4. Address pragmatic and ethical challenges to the integration of genomic medicine into clinical and health systems decision-making. Aim 4A: Develop and pilot a system that integrates genomic, clinical, and healthcare utilization data to inform clinicians and patients acting on genomic information and to reduce care gaps in patient management. Aim 4B: Advance the analysis of the ethical and policy implications of incorporating personal utility of genomic information into the decision framework for healthcare coverage.

Interventions

OTHERModified genetic counseling

After participants at high risk for a hereditary cancer syndrome receive exome sequencing, they will receive modified genetic counseling to help them understand the results.

After participants at high risk for a hereditary cancer syndrome receive exome sequencing, they will receive traditional genetic counseling to help them understand the results.

Sponsors

National Human Genome Research Institute (NHGRI)
CollaboratorNIH
University of Washington
CollaboratorOTHER
Seattle Children's Hospital
CollaboratorOTHER
University of California, San Francisco
CollaboratorOTHER
Denver Health and Hospital Authority
CollaboratorOTHER
Emory University
CollaboratorOTHER
Dana-Farber Cancer Institute
CollaboratorOTHER
Columbia University
CollaboratorOTHER
Kaiser Permanente
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
SCREENING
Masking
SINGLE (Subject)

Masking description

The participant will not know if they are receiving traditional or modified genetic counseling.

Intervention model description

All participants will receive exome sequencing. The randomization will be into one of two types of genetic counseling - traditional and modified.

Eligibility

Sex/Gender
ALL
Age
18 Years to 49 Years
Healthy volunteers
Yes

Inclusion criteria

* Kaiser Permanente Northwest or Denver Health patient * Screens as high risk for a hereditary cancer syndrome via the risk assessment tool algorithms OR have unknown family history on either their mother or father's side of the family (or both) * No known prior testing for familial mutations predisposing them to Lynch syndrome or hereditary breast and ovarian cancer * English or Spanish speaker

Exclusion criteria

* Participant self-reported prior testing for Lynch syndrome (LS) or Hereditary Breast and Ovarian Cancer (HBOC) syndrome or identified as having previous comprehensive testing via Kaiser Permanente data files * Not an English or Spanish speaker * Unable to provide informed consent * Don't want results placed in their medical record

Design outcomes

Primary

MeasureTime frameDescription
Positive Findings for Hereditary Cancer SyndromesFor each person, the test result was available within approximately one month of the receipt of that person's specimen at the laboratory.Number of people found to have a pathogenic (P) or likely pathogenic (LP) variant in one of the cancer genes associated with Lynch syndrome or hereditary breast and ovarian cancer

Secondary

MeasureTime frameDescription
Positive Findings for a Selected List of Carrier ConditionsFor each person, the test result was available within approximately one month of the receipt of that person's specimen at the laboratory.Number of people with pathogenic variants found in genes related to common carrier conditions
Number of Participants With Healthcare Utilization Measured Via Electronic Medical Record (EMR) DataWithin 12 months of participant receiving information about their hereditary cancer syndrome riskDownstream healthcare utilization of specific recommended procedures (e.g., colonoscopy, mammography, surgery) will be compared between CHARM participants who received at least one actionable risk management recommendation from study genetic counselors and those who did not receive an actionable risk management recommendation.
Participant Understanding of Recommended Care2 weeks post result disclosure, 6 months post result disclosureMeasurement of participant's understanding of the recommended care based on their genetic test result will be assessed using a validated survey tool
Positive Findings for Other Medically Actionable Genetic ConditionsFor each person, the test result was available within approximately one month of the receipt of that person's specimen at the laboratory.Number of people with pathogenic variants found in genes related to medically actionable hereditary conditions (other than cancer)
Participant Satisfaction of Genetic Counseling2 weeks post genetic results disclosureThis novel measure consisted of 4 items adapted from the Patient Assessment of Communication Effectiveness scale, 8 items developed by the consortium related to participants' overall satisfaction with the results and experience of results disclosures, and 6 items that focused on key elements of modified genetic counseling. Items were measured on a 5-point Likert scale (1 = strongly disagree to 5 = strongly agree). Using principal-axis factor analyses using oblique rotation, we found the 3-factor solution (accounting for 62.5% of the variance in the items) to provide adequate simple structure with conceptually meaningful factors and thus, created subscale scores for each set of items (6 loaded on each factor): genetic counseling relationship score, communication difficulty score, and communication ease score. The possible mean scores can range from 1 to 5, with higher scores indicating a better outcome.
Family CommunicationAssessed 6 months post result disclosureMeasurement of the degree to which participants shared their genetic test results with various family members will be assessed using a validated survey tool
Personal Utility of Genomic Sequencing (Qualitative Interview Only)Qualitative interviews were conducted within 1 month of results disclosure; a subset of these participants were interviewed again at 6 months post-results disclosure.Participant's perceived utility of obtaining genetic testing and genetic counseling were assessed. Data collection used semi-structured qualitative interviews. Analyses were conducted using a modified grounded theory approach and explored the five utility domains of the model: clinical, emotional, behavioral, cognitive, and social. The analysis examined how well this multifaceted perceived utility model applied to the responses provided during the interviews. The qualitative data was not quantified in any way and can not be represented in a tabular format.
Participant Understanding of Genetic Test Results2 weeks post genetic result disclosurePerceived understanding of results This novel 5-item measure asked, Thinking about only your cancer genetic test result, please rate how strongly you agree or disagree with each of the following statements. The 5 items were assessed on a 5-point Likert scale (1 = strongly disagree to 5 = strongly agree). A principal-axis factor analysis strongly supported a 1 factor solution (accounting for 65.4% of the variance in these items), providing evidence for structural validity, and a Cronbach's α of 0.90, providing strong evidence for internal consistency. The scale was scored using the mean; thus, the possible scores can range from 1 to 5, with higher scores indicating greater understanding.

Countries

United States

Participant flow

Recruitment details

Recruitment took place between August 2018 and August 2020 through email, text, and post-cards. Interested patients between 18 and 49 years completed a web-based family history risk assessment to determine eligibility. Participants who screened as high risk were provided with the options to receive exome based panel testing through the study. Participants who consented were provided a saliva sample collection kit that could be returned by mail or to their clinic.

Pre-assignment details

967 people were eligible and consented. Of those, 827 submitted a sample for testing. 131 of those people were lost to follow up, declined to receive results, or received a mailed letter with their results. Every outcome measure defined a different analytic sample. Randomization was implemented for only one of the study aims and only applies to outcome measures 6 and 7. Randomization occurred after test results were available.

Participants by arm

ArmCount
Baseline Participants
All participants who were eligible and consented
967
Total967

Withdrawals & dropouts

PeriodReasonFG000
Overall StudyDeclined to receive results3
Overall StudyDid not return saliva sample to laboratory126
Overall StudyDNA extraction and sequencing was not successful14
Overall StudyLost to Follow-up177
Overall StudyReceived negative results by mailed letter65

Baseline characteristics

CharacteristicBaseline Participants
Age, Continuous36.1 years
STANDARD_DEVIATION 8.2
Education level
Associate (2-year) college or occupational, technical, or vocational program degree
123 Participants
Education level
Bachelor's degree (for example: BA, AB, BS)
201 Participants
Education level
Graduate or professional degree (for example: MA, MBA, JD, MD, PhD)
136 Participants
Education level
High school graduate or equivalent
89 Participants
Education level
Less than high school graduate
103 Participants
Education level
Some post-high school training
186 Participants
Education level
Unknown/missing
129 Participants
Household income
$100,000 or greater per year
141 Participants
Household income
$60,000 to less than $100,000 per year
200 Participants
Household income
Less than $60,000 per year
489 Participants
Household income
Unknown/missing
137 Participants
Race/Ethnicity, Customized
Asian, non-Hispanic
53 Participants
Race/Ethnicity, Customized
Black or African American, non-Hispanic
57 Participants
Race/Ethnicity, Customized
Hispanic/Latino(a)
337 Participants
Race/Ethnicity, Customized
Selected another racial category
28 Participants
Race/Ethnicity, Customized
Selected multiple racial categories, non-Hispanic
47 Participants
Race/Ethnicity, Customized
Unknown
7 Participants
Race/Ethnicity, Customized
White or European American, non-Hispanic
438 Participants
Sex: Female, Male
Female
759 Participants
Sex: Female, Male
Male
208 Participants

Adverse events

Event typeEG000
affected / at risk
deaths
Total, all-cause mortality
0 / 0
other
Total, other adverse events
0 / 0
serious
Total, serious adverse events
0 / 0

Outcome results

Primary

Positive Findings for Hereditary Cancer Syndromes

Number of people found to have a pathogenic (P) or likely pathogenic (LP) variant in one of the cancer genes associated with Lynch syndrome or hereditary breast and ovarian cancer

Time frame: For each person, the test result was available within approximately one month of the receipt of that person's specimen at the laboratory.

Population: CHARM participants who were sent a saliva collection kit, returned their sample to the laboratory, had successful DNA extraction, and sequencing was completed. There was no randomization, and therefore no separate arms for this analysis.

ArmMeasureCategoryValue (COUNT_OF_PARTICIPANTS)
Participants With a Viable SamplePositive Findings for Hereditary Cancer SyndromesP/LP variant associated w breast and/or ovarian cancer risk28 Participants
Participants With a Viable SamplePositive Findings for Hereditary Cancer SyndromesP/LP variant associated with colon cancer risk8 Participants
Participants With a Viable SamplePositive Findings for Hereditary Cancer SyndromesP/LP variant associated with cancer risk but not with breast, ovarian, colon, or endometrial cancer4 Participants
Participants With a Viable SamplePositive Findings for Hereditary Cancer SyndromesNo variant associated with cancer risk found787 Participants
Secondary

Family Communication

Measurement of the degree to which participants shared their genetic test results with various family members will be assessed using a validated survey tool

Time frame: Assessed 6 months post result disclosure

Population: For this analysis, participants were not pre-specified to be separated by type of genetic counseling administered. Survey data from 562 CHARM participants who received genetic test results and completed survey questions on family communication were available for analysis.

ArmMeasureValue (COUNT_OF_PARTICIPANTS)
Participants With a Viable SampleFamily Communication466 Participants
Secondary

Number of Participants With Healthcare Utilization Measured Via Electronic Medical Record (EMR) Data

Downstream healthcare utilization of specific recommended procedures (e.g., colonoscopy, mammography, surgery) will be compared between CHARM participants who received at least one actionable risk management recommendation from study genetic counselors and those who did not receive an actionable risk management recommendation.

Time frame: Within 12 months of participant receiving information about their hereditary cancer syndrome risk

Population: For this analysis participants were not pre-specified to be separated by type of genetic counseling administered. The analysis sample excluded participants: 1) inadequate exome sequencing sample; 2) died or disenrolled before result disclosure; 3) for each procedure (e.g. mammography, colonoscopy, risk-reducing mastectomy ) individuals without relevant organ(s) at study entry. 4) Except for colonoscopy, those who did not reported their sex at birth as female.

ArmMeasureValue (COUNT_OF_PARTICIPANTS)
Participants With a Viable SampleNumber of Participants With Healthcare Utilization Measured Via Electronic Medical Record (EMR) Data6 Participants
Participants Without an Actionable Risk Management RecommendationNumber of Participants With Healthcare Utilization Measured Via Electronic Medical Record (EMR) Data153 Participants
Secondary

Participant Satisfaction of Genetic Counseling

This novel measure consisted of 4 items adapted from the Patient Assessment of Communication Effectiveness scale, 8 items developed by the consortium related to participants' overall satisfaction with the results and experience of results disclosures, and 6 items that focused on key elements of modified genetic counseling. Items were measured on a 5-point Likert scale (1 = strongly disagree to 5 = strongly agree). Using principal-axis factor analyses using oblique rotation, we found the 3-factor solution (accounting for 62.5% of the variance in the items) to provide adequate simple structure with conceptually meaningful factors and thus, created subscale scores for each set of items (6 loaded on each factor): genetic counseling relationship score, communication difficulty score, and communication ease score. The possible mean scores can range from 1 to 5, with higher scores indicating a better outcome.

Time frame: 2 weeks post genetic results disclosure

Population: The number analyzed in each row differs from overall number analyzed because some participants did not respond to all questions in the survey resulting in missing data. For each analysis we used all available data.

ArmMeasureGroupValue (MEAN)
Participants With a Viable SampleParticipant Satisfaction of Genetic CounselingCommunication ease score4.68 score on a scale
Participants With a Viable SampleParticipant Satisfaction of Genetic CounselingCommunication difficulty score1.82 score on a scale
Participants With a Viable SampleParticipant Satisfaction of Genetic CounselingGenetic counseling relationship score4.29 score on a scale
Participants Without an Actionable Risk Management RecommendationParticipant Satisfaction of Genetic CounselingCommunication ease score4.70 score on a scale
Participants Without an Actionable Risk Management RecommendationParticipant Satisfaction of Genetic CounselingCommunication difficulty score1.83 score on a scale
Participants Without an Actionable Risk Management RecommendationParticipant Satisfaction of Genetic CounselingGenetic counseling relationship score4.37 score on a scale
Secondary

Participant Understanding of Genetic Test Results

Perceived understanding of results This novel 5-item measure asked, Thinking about only your cancer genetic test result, please rate how strongly you agree or disagree with each of the following statements. The 5 items were assessed on a 5-point Likert scale (1 = strongly disagree to 5 = strongly agree). A principal-axis factor analysis strongly supported a 1 factor solution (accounting for 65.4% of the variance in these items), providing evidence for structural validity, and a Cronbach's α of 0.90, providing strong evidence for internal consistency. The scale was scored using the mean; thus, the possible scores can range from 1 to 5, with higher scores indicating greater understanding.

Time frame: 2 weeks post genetic result disclosure

Population: Of the 827 patients with samples sequenced, 352 received results using modified genetic counseling and 344 received results using traditional genetic counseling. A total of 65 patients received their negative results by mailed letter, 3 declined to receive results, and 63 were lost to follow up. Of the 696 patients randomized, 582 completed the post-results survey. Of these 582, 571 provided the responses required for inclusion in this analysis.

ArmMeasureValue (MEAN)
Participants With a Viable SampleParticipant Understanding of Genetic Test Results4.38 score on a scale
Participants Without an Actionable Risk Management RecommendationParticipant Understanding of Genetic Test Results4.42 score on a scale
Secondary

Participant Understanding of Recommended Care

Measurement of participant's understanding of the recommended care based on their genetic test result will be assessed using a validated survey tool

Time frame: 2 weeks post result disclosure, 6 months post result disclosure

Population: The study determined that collecting the data on this secondary outcome was not feasible and did not include these questions on surveys or interviews. We did not analyze this outcome.

Secondary

Personal Utility of Genomic Sequencing (Qualitative Interview Only)

Participant's perceived utility of obtaining genetic testing and genetic counseling were assessed. Data collection used semi-structured qualitative interviews. Analyses were conducted using a modified grounded theory approach and explored the five utility domains of the model: clinical, emotional, behavioral, cognitive, and social. The analysis examined how well this multifaceted perceived utility model applied to the responses provided during the interviews. The qualitative data was not quantified in any way and can not be represented in a tabular format.

Time frame: Qualitative interviews were conducted within 1 month of results disclosure; a subset of these participants were interviewed again at 6 months post-results disclosure.

Secondary

Positive Findings for a Selected List of Carrier Conditions

Number of people with pathogenic variants found in genes related to common carrier conditions

Time frame: For each person, the test result was available within approximately one month of the receipt of that person's specimen at the laboratory.

Population: 810 is the number of CHARM participants who were sent a saliva collection kit, returned their sample to the laboratory, had successful DNA extraction, affirmatively chose to receive additional findings, and sequencing was completed. Samples from participants who did not choose additional findings were not tested for carrier conditions. There was no randomization, and therefore no separate arms for this analysis.~.

ArmMeasureValue (COUNT_OF_PARTICIPANTS)
Participants With a Viable SamplePositive Findings for a Selected List of Carrier Conditions55 Participants
Secondary

Positive Findings for Other Medically Actionable Genetic Conditions

Number of people with pathogenic variants found in genes related to medically actionable hereditary conditions (other than cancer)

Time frame: For each person, the test result was available within approximately one month of the receipt of that person's specimen at the laboratory.

Population: 827 is the number of CHARM participants who were sent a saliva collection kit, returned their sample to the laboratory, had successful DNA extraction, and sequencing was completed. There was no randomization, and therefore no separate arms for this analysis.

ArmMeasureValue (COUNT_OF_PARTICIPANTS)
Participants With a Viable SamplePositive Findings for Other Medically Actionable Genetic Conditions9 Participants

Source: ClinicalTrials.gov · Data processed: Feb 22, 2026