Conclusion
 Recruitment metrics from this study suggest that utilizing a direct-to-patient design can result in rapid recruitment even into studies that
combine patient-reported outcomes with medical record and genomic data.
 Direct-to-patient recruitment design resulted in a shortened enrollment period, the total time between First patient in (FPI) to Last patient
in (LPI) was 18 weeks.
 Patient-reported outcomes, medical record, and genomic data was available for approximately 50% of patients; compliance with individual
study components ranged from 59% to 82%
 Future analyses will examine completeness and quality of data collected from medical records and genomic predictors of biologic response.
Recruitment Metrics From Together RA: A Study in Rheumatoid Arthritis Patients to Evaluate
Feasibility of a Direct-to-Patient Research Approach
Elisa Cascade, MBA1, John Reites1, Tia Carmon1, Dawn Blessing2, Joyce Tung2, David Hinds, Ph.D.2 , Chao Tian, Ph.D.2, Diego Miralles, MD ³, Dimitri Talantov MD ³
1 Quintiles, RTP, NC, USA 2 23andMe, Mountain View, CA,USA ³Janssen Healthcare Innovation, Janssen Pharmaceuticals, Johnson & Johnson, La Jolla, CA,USA
Author(s) of this presentation have the following to disclose concerning possible financial or personal relationships with commercial entities that may have
a direct or indirect interest in the subject matter of this presentation:
This study was funded by Janssen Healthcare Innovation, Janssen Pharmaceutical Companies.
Elisa Cascade-Nothing to disclose, John Reites-Nothing to disclose, Tia Carmon-Nothing to disclose, Dawn Blessing-Nothing to disclose, Joyce Tung-
Nothing to disclose, David Hinds, Ph.D.-Nothing to disclose, Chao Tian, Ph.D.-Nothing to disclose, Diego Miralles, Janssen Healthcare Innovation, Janssen
Pharmaceutical Companies, Dmitri Talantov- Janssen Healthcare Innovation, Janssen Pharmaceutical Companies
49th DIA Annual Meeting, June 23-27, 2013, Boston, Massachusetts
Background & Objective
• Increased demand for real-world data across multiple stakeholders is
driving researchers to explore new methods for research that can enable
cost and time efficiencies.
• The objective of this study is to examine whether a direct-to-patient
research approach can be used to complement conventional clinical
research methods.
• Direct-to-patient research involves the direct recruitment of patients
and conduct of studies without the use of physician sites.
• We believe that this is the first study to use a direct-to-patient approach
to collect and link patient-reported outcomes, medical record, and
genomic data.
Methods
• Patients from Quintiles’ communities, digital partners, and social media
outreach were invited to access study details, consent to participate,
and screen against the study’s inclusion/exclusion criteria for eligibility.
• The first 1,000 eligible, consenting patients were enrolled.
• Enrolled patients completed 2 web-based surveys, an authorization for
medical record release, and submitted a saliva sample.
oPatients were instructed provide to a saliva sample and return the kit in postage
paid packaging.
oPost medical record release we obtained a copy of the patients’ medical record
from their physician and chart data abstraction was performed.
Characteristic (n=1,000) Number (%)
Age:
 21-45
 46-55
 56-75
237 (24%)
371 (37%)
392 (39%)
Years Since Diagnosis
 <5 Years Ago
 5-15 Years ago
 > 15 Years ago
325 (33%)
433 (43%)
242 (24%)
Anti-TNF α Exposure:
 1 Anti-TNF α
 2 Anti-TNF α
 ≥3 Anti-TNF α3
 None
416 (42%)
316 (32%)
262 (26%)
6 (<1%)
48%
59%
80%
82%
0% 20% 40% 60% 80% 100%
PRO + MR + Lab
MR
Lab + PRO
Lab
Figure 3. Data Submission Rates (n=1,000)
% Data Collected
Figure 2. Condition History Characteristics
Results
• Over the 18 week enrollment period, 22,855 patients visited
the study website (see Figure 1):
o8,142 (36%) attempted to screen for the study.
o4,289 (19%) completed the screener with a self-reported RA
diagnosis.
o1,421 (6%) met the study enrollment criteria based on: self-reported
RA diagnosis; previous exposure to an anti-TNFα; age 21-75;
Caucasian; and located in any US state except New York or
Maryland.
• 1,000 proceeded to complete enrollment by consenting to
provide medical record release and a DNA saliva sample for
genetic analysis.
• Figure 2 displays characteristics of the 1,000 patients who
successfully enrolled for the study.
o 24% of study enrollees were age 21 to 45, 37% were 46 to 55, and
39% were 56 to 75.
oTwo-thirds of participants (67%) were diagnosed 5 or more years
ago.
o42% of RA patients reported exposure to only 1 anti-TNFα, 32% said
they had taken two different treatments, and 26% had been treated
with three or more agents.
• 48% (481) of participants completed all study activities (see
Figure 3):
o 82% (818) provided lab data.
o 80% (798) subjects completed the genotyping.
o 59% (591) of subject’s medical records were retrieved.
74
155
230
322
396
449 488
531 565
633
697
752
795 829
897 928 944
987 1000
0
200
400
600
800
1000
1200
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18
Figure 1. Recruitment Over 18 Week Enrollment Period
Enrollment actuals
FPI to LPI in 18 weeks

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Recruitment Metrics from TogetherRA: A Study in Rheumatoid Arthritis Patients to Evaluate Feasibility of a Direct-to-Patient Research Approach

  • 1. Conclusion  Recruitment metrics from this study suggest that utilizing a direct-to-patient design can result in rapid recruitment even into studies that combine patient-reported outcomes with medical record and genomic data.  Direct-to-patient recruitment design resulted in a shortened enrollment period, the total time between First patient in (FPI) to Last patient in (LPI) was 18 weeks.  Patient-reported outcomes, medical record, and genomic data was available for approximately 50% of patients; compliance with individual study components ranged from 59% to 82%  Future analyses will examine completeness and quality of data collected from medical records and genomic predictors of biologic response. Recruitment Metrics From Together RA: A Study in Rheumatoid Arthritis Patients to Evaluate Feasibility of a Direct-to-Patient Research Approach Elisa Cascade, MBA1, John Reites1, Tia Carmon1, Dawn Blessing2, Joyce Tung2, David Hinds, Ph.D.2 , Chao Tian, Ph.D.2, Diego Miralles, MD ³, Dimitri Talantov MD ³ 1 Quintiles, RTP, NC, USA 2 23andMe, Mountain View, CA,USA ³Janssen Healthcare Innovation, Janssen Pharmaceuticals, Johnson & Johnson, La Jolla, CA,USA Author(s) of this presentation have the following to disclose concerning possible financial or personal relationships with commercial entities that may have a direct or indirect interest in the subject matter of this presentation: This study was funded by Janssen Healthcare Innovation, Janssen Pharmaceutical Companies. Elisa Cascade-Nothing to disclose, John Reites-Nothing to disclose, Tia Carmon-Nothing to disclose, Dawn Blessing-Nothing to disclose, Joyce Tung- Nothing to disclose, David Hinds, Ph.D.-Nothing to disclose, Chao Tian, Ph.D.-Nothing to disclose, Diego Miralles, Janssen Healthcare Innovation, Janssen Pharmaceutical Companies, Dmitri Talantov- Janssen Healthcare Innovation, Janssen Pharmaceutical Companies 49th DIA Annual Meeting, June 23-27, 2013, Boston, Massachusetts Background & Objective • Increased demand for real-world data across multiple stakeholders is driving researchers to explore new methods for research that can enable cost and time efficiencies. • The objective of this study is to examine whether a direct-to-patient research approach can be used to complement conventional clinical research methods. • Direct-to-patient research involves the direct recruitment of patients and conduct of studies without the use of physician sites. • We believe that this is the first study to use a direct-to-patient approach to collect and link patient-reported outcomes, medical record, and genomic data. Methods • Patients from Quintiles’ communities, digital partners, and social media outreach were invited to access study details, consent to participate, and screen against the study’s inclusion/exclusion criteria for eligibility. • The first 1,000 eligible, consenting patients were enrolled. • Enrolled patients completed 2 web-based surveys, an authorization for medical record release, and submitted a saliva sample. oPatients were instructed provide to a saliva sample and return the kit in postage paid packaging. oPost medical record release we obtained a copy of the patients’ medical record from their physician and chart data abstraction was performed. Characteristic (n=1,000) Number (%) Age:  21-45  46-55  56-75 237 (24%) 371 (37%) 392 (39%) Years Since Diagnosis  <5 Years Ago  5-15 Years ago  > 15 Years ago 325 (33%) 433 (43%) 242 (24%) Anti-TNF α Exposure:  1 Anti-TNF α  2 Anti-TNF α  ≥3 Anti-TNF α3  None 416 (42%) 316 (32%) 262 (26%) 6 (<1%) 48% 59% 80% 82% 0% 20% 40% 60% 80% 100% PRO + MR + Lab MR Lab + PRO Lab Figure 3. Data Submission Rates (n=1,000) % Data Collected Figure 2. Condition History Characteristics Results • Over the 18 week enrollment period, 22,855 patients visited the study website (see Figure 1): o8,142 (36%) attempted to screen for the study. o4,289 (19%) completed the screener with a self-reported RA diagnosis. o1,421 (6%) met the study enrollment criteria based on: self-reported RA diagnosis; previous exposure to an anti-TNFα; age 21-75; Caucasian; and located in any US state except New York or Maryland. • 1,000 proceeded to complete enrollment by consenting to provide medical record release and a DNA saliva sample for genetic analysis. • Figure 2 displays characteristics of the 1,000 patients who successfully enrolled for the study. o 24% of study enrollees were age 21 to 45, 37% were 46 to 55, and 39% were 56 to 75. oTwo-thirds of participants (67%) were diagnosed 5 or more years ago. o42% of RA patients reported exposure to only 1 anti-TNFα, 32% said they had taken two different treatments, and 26% had been treated with three or more agents. • 48% (481) of participants completed all study activities (see Figure 3): o 82% (818) provided lab data. o 80% (798) subjects completed the genotyping. o 59% (591) of subject’s medical records were retrieved. 74 155 230 322 396 449 488 531 565 633 697 752 795 829 897 928 944 987 1000 0 200 400 600 800 1000 1200 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 Figure 1. Recruitment Over 18 Week Enrollment Period Enrollment actuals FPI to LPI in 18 weeks