Title: Overcoming Barriers to Early Phase Clinical Trials: The Community Navigator Model
1Overcoming Barriers to Early Phase Clinical
Trials The Community Navigator Model
- November 30, 2005
- Bruce Chabner MD and Lisa Weissmann MD, co-PIs
- Speakers
- Karen Donelan, ScD (Evaluation)
- Karin Hobrecker (Trainer and Interpreter,
Certified US Courts)
2Community Navigator Model
- Objective Increase minority enrollment in
clinical trials across DF/HCC - Create partnership between Boston-based DF/HCC
and community-based oncology practice in
Cambridge MA - Hire and train navigator to work in community
practice (RN, MS) - Equip MD and RN with access to clinical trials
database to screen eligibility - Create systems at academic centers for easy
contact with MDs - Navigator performs patient education, assistance
with overcoming structural barriers to referral
(financial, travel, linguistic, informational)
3Patient PathwayOvercoming Barriers to Clinical
Trials
Patient identified as potential candidate for
Phase I/Phase II
NAVIGATOR ENGAGED
Eligible N19
Enter N80
Enrolled N13
Refer Cancer Center Consult Determine
eligibility N38
MD presents options Introduce Navigator Select/con
tact site Patient teaching N65
Referred back to CHA for care
NO PROTOCOLS N15
NOT ELIGIBLE N19 No protocols (3) Perf Stat
(5) Std Treat (5) Other (4)
PATIENT NOT REFERRED N27 Pt Declined
(8) Hospice (2) MD consult (8) Pending (3) Other
(6)
NOT ENROLLED N6 Pt Declined (2) Health
(2) Other (2)
4Race of Patients All Patients, Eligible, Enrolled
5Ethnicity of Patients All Patients, Eligible,
Enrolled
6Patient Survey Referred Population
- Key Outcome Measures
- Patient experience with navigator program
- Patient satisfaction with care (Press Ganey
baseline) - Patient understanding of eligibility, enrollment
- Patient attitudes about clinical trials
- Respondent
- Patient, family member, health proxy
- Mode
- Advance letter, mail, telephone, in-person
- Eligible
- All patients referred for consultation (n38)
- Progress
- IRB approved from primary care site
- Data collection ongoing
- 24/38 patients or proxies available for interview
- Interpreter services collaborate (5 languages
currently) - Target n40 completes for publication
-
7Preliminary Findings
- Diverse population of patients gains access to
clinical trial option - Proportion of uninsured, minority, LEP patients
substantially higher than DF/HCC population - Community MD would not refer without assistance
- Once referred, rate of enrollment similar to
DF/HCC population despite prior screening for
eligibility - Navigator with professional skills and
credibility essential - System learning helps all patients, not just
navigated patients - Physician relationships
- Referral pathway (DF/HCC initiative)
- Research (Multilingual, DF/HCC, Disparities
Solutions) - Interpretation/translation
8Medical Interpreter Training
- Goal / Objective
- Improve accuracy of communication with Limited
English Proficient patients - Increase interpreter knowledge of cancer clinical
terms interpreting skills - Delivery Cancer, Cancer Clinical Trials
Interpreting Skills and Standards - 6 half day workshops
- 2 presentations at National interpreter
conference - Participants
- 230 /- medical interpreters
- 20 languages
- 5 tertiary hospitals, 2 community hospitals, 1
community health center - local regional participants MA CT, NH, NJ, NY,
MD (Bethesda) - Participant profile
- 59 had previous training, 38 had none
- 76 of attendees had interpreted for cancer
patients - Reported discomfort with prior experience
- 50 sometimes had trouble understanding the
disease - 30 sometimes found it hard to interpret
physicians explanations
9Cancer Basics Pre Post TestOn Cancer
Terminology (n97)
- Pre / Post Test Format
- 15 items
- match term with definition given
- leave blank if you do not know
- Range for Item Accuracy
- Pre Test min/item 22, max/item 69
- Post Test 54, 85
- Improvement
- Average change 21 pts
- of people who could match each term to its
definition correctly
- Sample Results
- Benign
- Pre test 55 correct
- Post test 75
- Malignant
- Pre test 55
- Post test 70
- Metastasis
- Pre test 69
- Post test 85
- Adjuvant therapy
- Pre test 29
- Post test 81
10Clinical Trials Pre and Post Test (n43) who
correctly labeled each item as true or false
- 100 of attendees reported they
- learned new material
- would use the information interpreting with
cancer patients - would attend other sessions
11Train the Trainer WorkshopBoston, October 26-27,
2005
- Objective
- Share experience developing implementing
workshops - Share medical interpreter skills training used at
MGH - Brainstorm on challenges for interpreting in
medical specialties - Participants
- 13 lead interpreters/ interpreter trainers from 8
hospitals CA, CO, FLA, MA, MO, PA, - 3 observers from NCI
- Model Presented
- Curriculum Components
- Clinical Content taught by clinicians
- Interpreting Standards of Practice led by
Interpreter Trainer - Interpreting Skills led by Interpreter Trainer
- Evaluation Components
- Pre and Post Test for Key Concepts
- Measure Overall Program Experience
- Response
- Positive request for follow up programs
training on interpreting skills standards
ethics
12Train the Trainer WorkshopBoston, October 26-27,
2005
- Key Elements
- Partnership
- Topic Experts
- Skilled Interpreter Trainers
- Clinicians Fellows time commitment
- Administration
- Funding and logistical support
- Endorsement for interpreter staff participation
- Local Regional Hospitals Medical Interpreter
Associations - Publicize endorse for staff interpreter
contract interpreter participation - Customization in response to variations by
institution, region of the country - Organizational Culture varied definition of
interpreter role - Participant Characteristics variety of
skills, training experience - Materials NCI materials adapted to medical
interpreting needs - Research Evaluation for validation to seek
funding and support - Next Steps
- Follow Up Conference Calls to Collaborate and
Support Local Programming - Follow Up Meeting identification of regional
experts - Replication of Train the Trainer workshop
13Concluding Remarks