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Video Directly Observed Therapy (VDOT) for
Tuberculosis Treatment Monitoring
Presented by:
Richard S. Garfein, PhD, MPH
UC San Diego, School of Medicine
for
HIV & Global Health Rounds
November 9, 2018
1
Disclosures
• Dr. Garfein is a co-founder of SureAdhere Mobile Technology
(a VDOT service provider).
• No services or funding were provided by SureAdhere for any data
presented in this talk
2
Collaborators
• UC San Diego, School of Medicine: Kevin Patrick, Jazmine Cuevas-Mota , Kelly Collins, Fatima Munoz, Valerie
Mercer, Donald Catanzaro, Maria Luisa Zuniga, Jose Luis Burgos, Timothy Rodwell, Lin Liu, Michelle Bulterys, Erin
South, Diana Do
• UC San Diego, Qualcomm Institute: Fredric Raab, Phillip Rios, Allison Flick, Mark Sullivan, Ganz Chockalingam,
David McCarter
• San Diego County Health and Human Services Agency
• San Francisco Department of Public Health
• Santa Clara, San Joaquin and Imperial County Health Departments
• California Department of Public Health
• New York City Department of Health: Christine Chuck, Nikolas Mitropoulos, John Soma, Virginia Vasquez-Stewart
• ISESALUD, Tijuana, BC, Mexico: Dra. Liliana Andrade, Dra. Lidia Perez, Dr. Luis Garcia, Dr. Héctor Zepeda Cisneros,
Dr. Gustavo López, Cristhian Colin
• Mexico-US Border Health Commission, BC, Mexico: Dra. Gudelia Rangel Gómez, Carlos Cota, Gabriela Escalante,
• Secretary of Health of the State of Baja California: Dr. Jonathan Figueroa
• Tijuana General Hospital - Integrated Care Services (SAI): Dr. Samuel Navarro
• CAPASITS, Tijuana, BC, Mexico: Dr. Mario Lam
Funded by the National Institutes of Health (R21-AI088326; U01-AI116392), Verizon Foundation, Alliance Healthcare
Foundation and California HealthCare Foundation, UC San Diego CFAR. 3
4
Does adherence really matter in TB?
Source: TB ReFLECT Consortium, unpublished data3
TB patients taking RIPE with <90%
adherence had 5.6 times increased risk of TB
recurrence in a meta-analysis of the
OFLOTUB, REMox, and Rifaquin trials.
Study of 534 smear-positive patients in India
found a strong relationship between adherence
and post-treatment TB recurrence.
Severity of non-
adherence
TB recurrence
rate, 18 months
after completing
treatment
“Regular”
adherence
9%
“Irregular”
adherence
15%
“Very irregular”
adherence
25%
Source: Thomas et al. Int J TB Lung Dis 2005; 9(5): 556-614
Slide adapted from Bruce Thomas, The Arcady Group
• YES! Poor medication adherence may
have the following impact on health
outcomes:
§ Increased disease relapse
§ Increased acquired drug resistance
Ø Modeling study found adherence to be the
strongest predictor for the emergence of MDR TB
in retreatment patients8
5
Does adherence really matter in TB?
“[P]robably the cheapest and most effective
way to ensure a positive treatment outcome
while minimizing the risk for the emergence
of MDR-TB is to maintain proper patient
compliance with the treatment.”8
Source: Cadosch et al. Plos Comp Bio 2016;12:e10047498
Slide adapted from Bruce Thomas, The Arcady Group
Monitoring TB Medication Adherence
• Purpose:
• Document that all doses were taken
• Promote treatment completion
• Detect drug adverse effects
• Goals:
• Reduce TB morbidity and mortality
• Prevent TB transmission
• Prevent acquired drug resistance
Directly Observed Therapy (DOT)
• Patient observed swallowing each dose
• Recommended by CDC & WHO
• Rationale:
• Improves adherence
• Reduces risk of acquired drug resistance,
treatment failure, and relapse
• Establishes rapport with patients
• Allows intermittent dosing
• May reduce pill burden
• Saved 6.8 million lives in 1995-2010
Community-Based DOT
Clinic-Based DOT
First-Line TB Treatment
Initial phase (8 weeks):
• 4 drugs daily (~500 pills)
Continuation phase (18 weeks):
• 2 drugs daily (~500 pills)
~1000 pills over 6 months
CDC, http://www.cdc.gov/tb/topic/treatment/tbdisease.htm
“VDOT”
9
Types of Video Directly Observed
Therapy (VDOT)
• Synchronous VDOT
• Videoconferencing
• “Real-time” or “Live”
• Asynchronous VDOT
• Recorded videos
• “Store-and-forward”
(Wireless) (Wired)
10
Synchronous VDOT Process
Scheduling
Connecting
Observing
Documenting
11
Synchronous VDOT
Evidence
• High adherence/completion1-3,5-7
• High patient & provider
satisfaction1,3-6
• Resource saving1-5,7
Limitations
• Limited to business hours
• Scheduling requires staff time
• Dosing times not always optimal
for patients
• Requires consistent and reliable
connectivity
• Not all video-conferencing apps
meet security standards for PHI
(i.e., HIPAA or GDPR)
1DeMaio, et al., Clin Infect Dis, 2001; 2Krueger, et al., Int J Tuberc Lung Dis, 2010; 3Gassanov, et al., Can J Public Health, 2013; 4Bethel, et al., ATS
Conf., 2006; ; 5Mirsaeidi, et al., Eur Resp J, 2015; 6Wade, et al., PLoS One, 2012; 7Chuck, et al., Int J Tuberc Lung Dis, 2016
12
Asynchronous VDOT Process
Review
Observe Document
Store
Secure cloud or local server
Record
Date/ Time
stamp Encrypt Upload
13
Patient Dashboard helps providers
visualize how each dose was taken,
and immediately identify missed
doses.
Provider Dashboard shows adherence at the
patient and program level. Missed and taken
doses are color-coded for easy identification
VDOT Pilot Study - 2010
• Objective:
• To assess the feasibility, acceptability and potential
efficacy of VDOT for monitoring TB treatment
• Setting:
• TB control programs in San Diego and Tijuana
• Conducted by program staff
• Design:
• Phase I = Focus groups
• Phase II = Single-arm pilot trial
• Eligibility: Age>18, pansensitive pulmonary TB, DOT-experienced
• Patients interviewed pre & post VDOT
Funding: NIH R21-AI088326; PI: R. Garfein
Patient Education
Materials (English/Spanish)
VDOT Pilot Trial: Demographics
San Diego Tijuana
Number enrolled in VDOT 43 9
Number of participants who spent time in both cities 6 0
Age: mean(range) 38.9 (18-86) 28.1 (18-65)
Hispanic or Latino n(%) 18 (41.9) 9 (100)
Race: n(%)
Asian
African American/Black
Pacific Islander/Native Hawaiian
Caucasian/White
Other/Mixed Race
13 (30.2)
3 (6.9)
2 (4.7)
9 (21.0)
16 (37.2)
0 (0)
0 (0)
0 (0)
3 (33.4)
6 (66.6)
Gender: n(%)
Male
Female
23 (53.5)
20 (46.5)
5 (55.5)
4 (45.5)
Number of participants who switched back to in-person DOT *6 (13.9) 1 (11.1)
Telephones stolen/replaced 1/2 2/1
*3 patients with drug resistant TB returned to in-person DOT per protocol.
93%
7%
VDOT Pilot Study: Results I
VDOT adherence
(observed / expected
videos)
96%
4%
San Diego (n=43) Tijuana (n=9)
How often did you have
problems recording a video?
Is VDOT more or less
confidential than in-person
DOT?
93%
7%
89%
11%
80%
15%
5%
76%
22%
Videos
received
Videos not
received
Never/rarely
≥1/2 the time
More
No difference
Less
VDOT Pilot Study Results II
Would you rather use VDOT
or in-person DOT if you had
to repeat your TB treatment?
Would you recommend
VDOT to other TB patients?
Are you more or less
comfortable using a
smartphone since using
VDOT?
93%
5%
…
89%
11%
VDOT
Either
In-Person
100% 100%
Yes
No
68%
32%
89%
11%
More
comfortable
No
difference
San Diego (n=43) Tijuana (n=9)
$4,167
$458
$1,293
$174
$0
$500
$1,000
$1,500
$2,000
$2,500
$3,000
$3,500
$4,000
$4,500
SAN DIEGO TIJUANA
COSTPERCASEFOR6MONTHS
In-Person DOT
VDOT
VDOT Pilot Study: Cost Analysis
In-Person DOT Costs
• Staff salaries and transportation
VDOT Costs
• Staff salaries, transportation, and phone service
• Excludes the cost of the VDOT application
Results Published in International Journal
of TB and Lung Disease
1. Focus Groups 2010 (N=52)
- San Diego, CA & Tijuana, Mexico
- Included patients, providers, health
officials
2. Pilot Study 2010-2012 (N=52)
- San Diego, CA & Tijuana, Mexico
- Included only pansusceptible pulmonary
TB
3. Expansion Study 2012-2015 (N=149)
- San Diego, San Francisco, New York City
- Permitted DR-TB and suspected TB
4. P3 Study 2015-2016 (N=274)
- (Urban) San Diego, San Francisco, Santa
Clara; (Rural) San Joaquin, Imperial Counties
- Permitted any type of TB
- Compared in-person DOT with VDOT
Common Study Features
- Multisite, single arm, prospective study
- Pre & post VDOT interviews (demographics, perceptions)
- Eligibility:
q Age >18 years
q ≥30 days of treatment left
q Patient initially on DOT (min. 2 weeks)
q No plans to move
q No physical/cognitive conditions that prevent VDOT
Baseline Characteristics by Study
Variable
San Diego Pilot
(n=43)
Expansion
(n=149)
P3 Study
(n=275)
VDOT Observation Rate – Mean % (SD)
Range %
93.0%
(51-100)
84.0% (14.5)
(33-100)
87.9% (13.5)
(28-100)
Months on VDOT – Mean (SD)
Range
5.5
(1-11)
5.4 ( 3.2)
(0.3-18.1)
5.5 (2.9)
(0.3-18.1)
Age – Mean (SD)
Range
39.0 (17.6)
(18-86)
40.9 (16.0)
(18-87)
43.8 (16.5)
(18-87)
Education (n)
<High school
>High school
38% (16)
62% (26)
41% (60)
59% (85)
49% (131)
51% (139)
Gender (n)
Male
Female
54% (23)
46% (20)
59% (88)
41% (61)
61% (167)
39% (106)
Race (n)
Asian
Black/African-American
Caucasian/White
Hispanic/Latino
Other/Mixed Race
31% (13)
7% ( 3)
14% ( 6)
40% (17)
7% ( 3)
45% (67)
13% (20)
7% (10)
30% (44)
6% ( 8)
57% (154)
1% ( 3)
7% ( 19)
30% ( 82)
6% ( 17)
Country Born (n)
U.S.
Mexico
Other
23% (34)
13% (19)
64% (96)
17% ( 47)
16% ( 44)
67% (181)
Owned Smartphone at Baseline (n) 69% (103) 72% (196) 23
Multivariable Linear Regression Analysis of Factors Associated with VDOT Observation Rate
Expansion Study
(n=149)
P3 Study
(n=274)
Variable Beta (SE) P-value Beta (SE) P-value
Intercept 0.878 (0.02) 0.886 (0.02)
Country of Birth: (ref: Other*)
Mexico
U.S.
-0.131 (0.04)
-0.071 (0.03)
0.001
0.018
-0.096 (0.02)
-0.052 (0.02)
<0.001
0.023
Months on VDOT (per month) ---- ---- 0.007 (0.01) 0.012
Found VDOT process to be: (ref: Very Easy)
‘Somewhat Easy’
‘Somewhat/Very Difficult’
0.055 (0.03)
-0.225 (0.08)
0.078
0.004
----
-0.171 (0.04)
----
<0.001
Problems using VDOT >1/2 the time (ref: Never) ---- ---- -0.090 (0.02) <0.001
*Most countries in “Other” category were in Asia.
Garfein, et al., NTCA Meeting, Palm Springs, CA, May 21-25, 2018 24
VDOT Observation Rates (2010-2016)
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
San Diego (n=43)
*San Diego (n=100)
Tijuana (n=9)
Tijuana HIV+ (n=18)
*San Francisco (n=99)
New
York City (n=48)
*Santa Clara (n=49)
*San Joaquin (n=15)
*Imperial (n=11)
%ofExpectedDosesObserved
*Rates increased when unviewable videos and partial doses were counted as “observed”
(SD=88%; SF=94%; SC=92%; SJ=98%; Imp=93%)
25
VDOT FEDO DOT FEDO DOT Adherence
0.00.20.40.60.81.0
FractionofExpectedDosesObserved
Median=93%
Median=66%
Median=100%
P<.001
P<.001
FEDO = number of doses observed divided by the number of doses expected
Adherence = number of doses observed via DOT divided by the number of prescribed doses
VDOT vs. DOT in 5 California TB Programs
26Garfein, et al., Emerging Infectious Diseases 2018;24:1806-1815
• DOT personnel costs included time for patient contact, administrative tasks, and travel.
• VDOT personnel costs included time for DOT visits prior to initiating VDOT, patient VDOT training, administrative tasks,
video observation, and follow-up when expected videos were not received.
• Corporate pricing used for smartphones ($100) and service plans ($54/mth). VDOT app priced at $35/patient/mth.
• Excludes costs for antibiotics, laboratory tests, chest radiographs and clinical exams.
$4609 $4549
$4888
$3212
$5788
$3141 $3179
$3911
$3031
$3137
0
1000
2000
3000
4000
5000
6000
7000Cost(USD)
In-person DOT
VDOT
-30% -20% -6% -46%
Total San Diego San Francisco San JoaquinImperial
-32%
Cost to Monitor Standard 6-Months of
TB Treatment, California (2015-2016)
27Garfein, et al., Emerging Infectious Diseases 2018;24:1806-1815
Patient Perspectives
Split Dosing (31 y.o., male, U.S.)
“The video was really helpful because of dual doses at different
times and it would be really hard to do it in person”
Transportation (21 y.o., female, Mexico)
“I think the phone is better because I don’t have to call in to the
hospital and go there to take my medication. Also I sometimes
don’t have enough money to take the bus to the clinic”
Autonomy (70 y.o., female, U.S.)
“When I started I was depressed because I got sick from someone
I was caring for. At first it was difficult for me to accept the
treatment b/c they have to see me in person. I felt like I lost my
freedom and felt like a prisoner. But this alternative was great”
(37 y.o., male, Mexico)
“VDOT is really good. It gives you confidence and makes you
responsible for yourself and make a conscious decision to take your
drugs without having someone else tell you to take them.”
28
VDOT in Belarus
Project milestones
• 2015 WHO/ERS digital health strategy published
• Jan 2015 : Feasibility assessment of VDOT (WHO)
• Feb 2015: VDOT included in GF project proposal;
MoH VDOT working group
• May 2015 : technical specifications for VOT app; software finished
by Jan 2016
• Jan 2016 : pilot single center VOT project
• Oct 2016: programmatic expansion of VOT with GF support
Slide courtesy of Alena Skrahina, Belarus NTP
Programmatic expansion of VOT in Belarus
Patients regional distribution
- 52
35
Minsk City 71
Minsk region 40
Gomel region 52
Mogilev region 21
Vitebsk region
Brest region
Grodno region
24
5
18
9
16
425
15
Slide courtesy of Alena Skrahina, Belarus NTP
Programmatic Expansion of VDOT in Belarus, 2017
n=231
Gender m/f 139/92 (60%/40%)
Age
18-25
26-35
36-45
46-55
56-65
>65
37 (16%)
75 (32%)
60 (26%)
31 (13%)
26 (11%)
2 (1%)
Social data
employed
student
unemployed
maternity leave
military service
121 (52%)
12 (5%)
86 (37%)
10 (4%)
2 (1%)
DR profile
Drug susceptible
Monoresistance (R)
MDR
Pre-XDR
XDR
110 (47%)
6 (2%)
45 (19%)
36 (16%)
34 (15%)
n=231
Total MDR-TB - 50%
Slide courtesy of Alena Skrahina, Belarus NTP
Belarus VDOT Treatment Outcomes
Final treatment outcomes in 61 TB patients on VDOT:
• Treatment success (DS-TB) – 59 (96%)
• Death (XDR-TB) – 1 (2%)
• LTFU (MDR-TB) – 1 (2%)
• 170 patients are still on treatment
Nationwide scale-up ongoing
Slide courtesy of Alena Skrahina, Belarus NTP
VDOT for TB Treatment among HIV+
Patients, Tijuana, Mexico
UCSD CFAR Developmental Pilot Grant (PI: F. Munoz)
• Objectives
• To evaluate VDOT for monitoring TB treatment adherence
among HIV/TB co-infected persons in Tijuana, Mexico
• Methods
• HIV-positive patients (N=19) prescribed oral TB medications
recruited from CAPASITS and Tijuana General Hospital
• Eligibility
§ >18 years old
§ Able to speak Spanish
§ No plans to move from Tijuana within the study period
§ Willing and able to provide informed consent
§ Data Collection
§ 15-minute baseline and follow-up interviews assessed
sociodemographic, clinical, risk factor and VDOT perception variables
VDOT
(n=19)
n (%)
In-Person DOT*
(n=50)
n (%)
Mean Age (SD)
Range
34.1(8.2)
25-56
34.3 (16.0)
21-55
Gender:
Male
Female
13 (68.4)
6 (31.6)
38 (76.0)
12 (24.0)
Treatment Outcome
Continue in treatment
Completion of treatment (Cured)
Lost to follow-up (Abandonment)
Died during TB treatment
Treatment suspended
12 (57.1)
4 (19.0)
2 ( 9.5)
0
1 ( 5.2)
n/a
12 (28.5)
12 (28.5)
6 (14.2)
1 ( 2.3)
Fraction of Expected Doses Observed (mean)** 94.7% 95.5%
TB Treatment Using VDOT among HIV+
Patients, Tijuana, Mexico
*Adherence for historical controls obtained through medical record review for a
random sample of patients treated for TB in the 1 year prior to the study.
n (%)
Overall, I’m “somewhat/very satisfied” with TB treatment using VDOT 17 (100)
I would choose VDOT over DOT if treatment had to be repeated 17 (100)
I would you recommend VDOT to other patients 17 (100)
Confidentiality of VDOT compared to DOT
VDOT > DOT 11 (64.7)
VDOT = DOT 6 (35.3)
Overall, how difficult was the VDOT process?
Somewhat/Very easy 14 (82.4)
Somewhat Difficult 2 (11.7)
Very difficult 1 ( 5.9)
How often did you have problems with the VDOT application?
Never 12 (70.6)
Rarely 5 (29.4)
HIV+ Patient Satisfaction with VDOT for TB
Treatment, Tijuana, Mexico (n=17)
WHO Endorsement
*Results not available at the time of WHO Guidelines publication showed that VDOT had twice the efficacy and was more acceptable
to patients and providers compared to DOT. Story A. VDOT in the UK: Results of a Randomized Control Trial. 2017 Union NAR Meeting,
Vancouver, Canada. https://bc.lung.ca/lung-disease/union-north-america/2017-meeting-archives.
*
36
United Kingdom TB Reach Study
• Design – Randomized controlled trial
• Location – London and Birmingham, England
• Study Period – 2013-2017
• Eligibility
• Include - TB patient age >16 years eligible for DOT at participating
clinics
• Exclude - can’t charge phone / <2 months treatment remaining
• Primary outcome
• Proportion of patients with >80% of doses observed
• Data collection – Baseline and follow-up interviews
Story A, Aldridge RW, Smith CM, et al., Smartphone-enabled video observed versus directly observed treatment for
tuberculosis: a randomised controlled trial. Lancet (in press)
TB Reach Flow
Diagram
TB Reach Baseline Characteristics
0
10
20
30
40
50
60
70
80
90
16-24 25-34 35-44 45-54 55-64 >=65 Male Female No Yes No Yes
Age group Sex Born in UK Previous TB
VDOT DOT
Complex cases
* Any current social risk factor = Homeless, problem drug use, alcohol, prison
0
10
20
30
40
50
60
70
Social risk
factor (any) *
Homeless Prison Drug misuse Alcohol
misuse
Mental
illness
Immigration
concerns
DOT
VOT
Proportion of Subjects who had >80% of
Scheduled Doses Observed by Month
Numbers above bars are numbers of patients who had scheduled treatment
observations in each month following randomisation and numbers who completed
>80% of scheduled observations. Error bars are 95% confidence intervals.
VDOT DOT
VDOT Cost Analysis: United Kingdom
• Cost to provide DOT for six months
• £5,700 per patient for five times per week
• £3,420 per patient for three times per week
• Cost to provide daily VDOT for six months
• £1,645 per patient for seven times per week
VDOT for Monitoring Adherence to LTBI
Treatment (V-MALT)
NIH U01-AI116392; PI: R. Garfein
Study Aims
ØTo determine whether latent TB infection (LTBI) treatment adherence
and completion are greater for patients treated with 12 doses of
Isoniazid and Rifapentine (3HP) administered through VDOT
compared to DOT
ØTo compare treatment perceptions between VDOT and DOT
ØTo measure the cost-effectiveness between VDOT and DOT
VMALT Study Population & Eligibility
• Sample
• 310 patients with LTBI (n=155 per arm)
• Recruited from San Diego County TB Control Program LTBI clinics and UCSD
Student Health Services
• Eligibility Criteria
• Candidate for 3HP (based on CDC and HHSA guidelines)
• Age ≥13 years
• Plan to stay in San Diego area for next 4 months
• No physical or cognitive disabilities that preclude VDOT
• Unless household member can assist for the duration of the study
• Willing to follow study procedures and provide informed consent
• Timeline
• Feb. 2016 – ongoing = Enrollment period
• Aug. 2019 – Feb. 2020 = Data analysis and reporting
VDOT in High Burdon Low Healthcare
Access Regions
Ongoing Projects:
• Haitian Prisons
• Philippines MDR-TB Patients
• Kazakhstan TB Patients
• Vietnam Private Sector
• Uganda
UNITAID and StopTB Partnership
have awarded several million
dollars for pilot and implementation
projects in over 8 countries to
scale-up VDOT globally
Are Digital Adherence
Technology Apps Enough?
• In-person DOT
• Synchronous VOT
• Asynchronous VOT
• 99DOTS
• WisePill
• SMS
• Ingestible sensors
• AI observation
• Others
• Physicians
• DOT workers
• Case managers
• Health educators
• Family supporters
• Surveillance
?
?
Patient Inputs Patient Supporters
Opportunities in HIV for VDOT?
• LTBI treatment for HIV+
• Establishing treatment routines for ARV initiates
• Supporting patients with low ARV adherence
• Monitoring adherence to PrEP
• Monitoring adherence in drug trials
• Other uses?
Questions?
49

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Video Directly Observed Therapy for Treatment Adherence Monitoring

  • 1.
  • 2. Video Directly Observed Therapy (VDOT) for Tuberculosis Treatment Monitoring Presented by: Richard S. Garfein, PhD, MPH UC San Diego, School of Medicine for HIV & Global Health Rounds November 9, 2018 1
  • 3. Disclosures • Dr. Garfein is a co-founder of SureAdhere Mobile Technology (a VDOT service provider). • No services or funding were provided by SureAdhere for any data presented in this talk 2
  • 4. Collaborators • UC San Diego, School of Medicine: Kevin Patrick, Jazmine Cuevas-Mota , Kelly Collins, Fatima Munoz, Valerie Mercer, Donald Catanzaro, Maria Luisa Zuniga, Jose Luis Burgos, Timothy Rodwell, Lin Liu, Michelle Bulterys, Erin South, Diana Do • UC San Diego, Qualcomm Institute: Fredric Raab, Phillip Rios, Allison Flick, Mark Sullivan, Ganz Chockalingam, David McCarter • San Diego County Health and Human Services Agency • San Francisco Department of Public Health • Santa Clara, San Joaquin and Imperial County Health Departments • California Department of Public Health • New York City Department of Health: Christine Chuck, Nikolas Mitropoulos, John Soma, Virginia Vasquez-Stewart • ISESALUD, Tijuana, BC, Mexico: Dra. Liliana Andrade, Dra. Lidia Perez, Dr. Luis Garcia, Dr. Héctor Zepeda Cisneros, Dr. Gustavo López, Cristhian Colin • Mexico-US Border Health Commission, BC, Mexico: Dra. Gudelia Rangel Gómez, Carlos Cota, Gabriela Escalante, • Secretary of Health of the State of Baja California: Dr. Jonathan Figueroa • Tijuana General Hospital - Integrated Care Services (SAI): Dr. Samuel Navarro • CAPASITS, Tijuana, BC, Mexico: Dr. Mario Lam Funded by the National Institutes of Health (R21-AI088326; U01-AI116392), Verizon Foundation, Alliance Healthcare Foundation and California HealthCare Foundation, UC San Diego CFAR. 3
  • 5. 4 Does adherence really matter in TB? Source: TB ReFLECT Consortium, unpublished data3 TB patients taking RIPE with <90% adherence had 5.6 times increased risk of TB recurrence in a meta-analysis of the OFLOTUB, REMox, and Rifaquin trials. Study of 534 smear-positive patients in India found a strong relationship between adherence and post-treatment TB recurrence. Severity of non- adherence TB recurrence rate, 18 months after completing treatment “Regular” adherence 9% “Irregular” adherence 15% “Very irregular” adherence 25% Source: Thomas et al. Int J TB Lung Dis 2005; 9(5): 556-614 Slide adapted from Bruce Thomas, The Arcady Group
  • 6. • YES! Poor medication adherence may have the following impact on health outcomes: § Increased disease relapse § Increased acquired drug resistance Ø Modeling study found adherence to be the strongest predictor for the emergence of MDR TB in retreatment patients8 5 Does adherence really matter in TB? “[P]robably the cheapest and most effective way to ensure a positive treatment outcome while minimizing the risk for the emergence of MDR-TB is to maintain proper patient compliance with the treatment.”8 Source: Cadosch et al. Plos Comp Bio 2016;12:e10047498 Slide adapted from Bruce Thomas, The Arcady Group
  • 7. Monitoring TB Medication Adherence • Purpose: • Document that all doses were taken • Promote treatment completion • Detect drug adverse effects • Goals: • Reduce TB morbidity and mortality • Prevent TB transmission • Prevent acquired drug resistance
  • 8. Directly Observed Therapy (DOT) • Patient observed swallowing each dose • Recommended by CDC & WHO • Rationale: • Improves adherence • Reduces risk of acquired drug resistance, treatment failure, and relapse • Establishes rapport with patients • Allows intermittent dosing • May reduce pill burden • Saved 6.8 million lives in 1995-2010 Community-Based DOT Clinic-Based DOT
  • 9. First-Line TB Treatment Initial phase (8 weeks): • 4 drugs daily (~500 pills) Continuation phase (18 weeks): • 2 drugs daily (~500 pills) ~1000 pills over 6 months CDC, http://www.cdc.gov/tb/topic/treatment/tbdisease.htm
  • 11. Types of Video Directly Observed Therapy (VDOT) • Synchronous VDOT • Videoconferencing • “Real-time” or “Live” • Asynchronous VDOT • Recorded videos • “Store-and-forward” (Wireless) (Wired) 10
  • 13. Synchronous VDOT Evidence • High adherence/completion1-3,5-7 • High patient & provider satisfaction1,3-6 • Resource saving1-5,7 Limitations • Limited to business hours • Scheduling requires staff time • Dosing times not always optimal for patients • Requires consistent and reliable connectivity • Not all video-conferencing apps meet security standards for PHI (i.e., HIPAA or GDPR) 1DeMaio, et al., Clin Infect Dis, 2001; 2Krueger, et al., Int J Tuberc Lung Dis, 2010; 3Gassanov, et al., Can J Public Health, 2013; 4Bethel, et al., ATS Conf., 2006; ; 5Mirsaeidi, et al., Eur Resp J, 2015; 6Wade, et al., PLoS One, 2012; 7Chuck, et al., Int J Tuberc Lung Dis, 2016 12
  • 14. Asynchronous VDOT Process Review Observe Document Store Secure cloud or local server Record Date/ Time stamp Encrypt Upload 13
  • 15. Patient Dashboard helps providers visualize how each dose was taken, and immediately identify missed doses. Provider Dashboard shows adherence at the patient and program level. Missed and taken doses are color-coded for easy identification
  • 16. VDOT Pilot Study - 2010 • Objective: • To assess the feasibility, acceptability and potential efficacy of VDOT for monitoring TB treatment • Setting: • TB control programs in San Diego and Tijuana • Conducted by program staff • Design: • Phase I = Focus groups • Phase II = Single-arm pilot trial • Eligibility: Age>18, pansensitive pulmonary TB, DOT-experienced • Patients interviewed pre & post VDOT Funding: NIH R21-AI088326; PI: R. Garfein
  • 18. VDOT Pilot Trial: Demographics San Diego Tijuana Number enrolled in VDOT 43 9 Number of participants who spent time in both cities 6 0 Age: mean(range) 38.9 (18-86) 28.1 (18-65) Hispanic or Latino n(%) 18 (41.9) 9 (100) Race: n(%) Asian African American/Black Pacific Islander/Native Hawaiian Caucasian/White Other/Mixed Race 13 (30.2) 3 (6.9) 2 (4.7) 9 (21.0) 16 (37.2) 0 (0) 0 (0) 0 (0) 3 (33.4) 6 (66.6) Gender: n(%) Male Female 23 (53.5) 20 (46.5) 5 (55.5) 4 (45.5) Number of participants who switched back to in-person DOT *6 (13.9) 1 (11.1) Telephones stolen/replaced 1/2 2/1 *3 patients with drug resistant TB returned to in-person DOT per protocol.
  • 19. 93% 7% VDOT Pilot Study: Results I VDOT adherence (observed / expected videos) 96% 4% San Diego (n=43) Tijuana (n=9) How often did you have problems recording a video? Is VDOT more or less confidential than in-person DOT? 93% 7% 89% 11% 80% 15% 5% 76% 22% Videos received Videos not received Never/rarely ≥1/2 the time More No difference Less
  • 20. VDOT Pilot Study Results II Would you rather use VDOT or in-person DOT if you had to repeat your TB treatment? Would you recommend VDOT to other TB patients? Are you more or less comfortable using a smartphone since using VDOT? 93% 5% … 89% 11% VDOT Either In-Person 100% 100% Yes No 68% 32% 89% 11% More comfortable No difference San Diego (n=43) Tijuana (n=9)
  • 21. $4,167 $458 $1,293 $174 $0 $500 $1,000 $1,500 $2,000 $2,500 $3,000 $3,500 $4,000 $4,500 SAN DIEGO TIJUANA COSTPERCASEFOR6MONTHS In-Person DOT VDOT VDOT Pilot Study: Cost Analysis In-Person DOT Costs • Staff salaries and transportation VDOT Costs • Staff salaries, transportation, and phone service • Excludes the cost of the VDOT application
  • 22. Results Published in International Journal of TB and Lung Disease
  • 23. 1. Focus Groups 2010 (N=52) - San Diego, CA & Tijuana, Mexico - Included patients, providers, health officials 2. Pilot Study 2010-2012 (N=52) - San Diego, CA & Tijuana, Mexico - Included only pansusceptible pulmonary TB 3. Expansion Study 2012-2015 (N=149) - San Diego, San Francisco, New York City - Permitted DR-TB and suspected TB 4. P3 Study 2015-2016 (N=274) - (Urban) San Diego, San Francisco, Santa Clara; (Rural) San Joaquin, Imperial Counties - Permitted any type of TB - Compared in-person DOT with VDOT Common Study Features - Multisite, single arm, prospective study - Pre & post VDOT interviews (demographics, perceptions) - Eligibility: q Age >18 years q ≥30 days of treatment left q Patient initially on DOT (min. 2 weeks) q No plans to move q No physical/cognitive conditions that prevent VDOT
  • 24. Baseline Characteristics by Study Variable San Diego Pilot (n=43) Expansion (n=149) P3 Study (n=275) VDOT Observation Rate – Mean % (SD) Range % 93.0% (51-100) 84.0% (14.5) (33-100) 87.9% (13.5) (28-100) Months on VDOT – Mean (SD) Range 5.5 (1-11) 5.4 ( 3.2) (0.3-18.1) 5.5 (2.9) (0.3-18.1) Age – Mean (SD) Range 39.0 (17.6) (18-86) 40.9 (16.0) (18-87) 43.8 (16.5) (18-87) Education (n) <High school >High school 38% (16) 62% (26) 41% (60) 59% (85) 49% (131) 51% (139) Gender (n) Male Female 54% (23) 46% (20) 59% (88) 41% (61) 61% (167) 39% (106) Race (n) Asian Black/African-American Caucasian/White Hispanic/Latino Other/Mixed Race 31% (13) 7% ( 3) 14% ( 6) 40% (17) 7% ( 3) 45% (67) 13% (20) 7% (10) 30% (44) 6% ( 8) 57% (154) 1% ( 3) 7% ( 19) 30% ( 82) 6% ( 17) Country Born (n) U.S. Mexico Other 23% (34) 13% (19) 64% (96) 17% ( 47) 16% ( 44) 67% (181) Owned Smartphone at Baseline (n) 69% (103) 72% (196) 23
  • 25. Multivariable Linear Regression Analysis of Factors Associated with VDOT Observation Rate Expansion Study (n=149) P3 Study (n=274) Variable Beta (SE) P-value Beta (SE) P-value Intercept 0.878 (0.02) 0.886 (0.02) Country of Birth: (ref: Other*) Mexico U.S. -0.131 (0.04) -0.071 (0.03) 0.001 0.018 -0.096 (0.02) -0.052 (0.02) <0.001 0.023 Months on VDOT (per month) ---- ---- 0.007 (0.01) 0.012 Found VDOT process to be: (ref: Very Easy) ‘Somewhat Easy’ ‘Somewhat/Very Difficult’ 0.055 (0.03) -0.225 (0.08) 0.078 0.004 ---- -0.171 (0.04) ---- <0.001 Problems using VDOT >1/2 the time (ref: Never) ---- ---- -0.090 (0.02) <0.001 *Most countries in “Other” category were in Asia. Garfein, et al., NTCA Meeting, Palm Springs, CA, May 21-25, 2018 24
  • 26. VDOT Observation Rates (2010-2016) 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% San Diego (n=43) *San Diego (n=100) Tijuana (n=9) Tijuana HIV+ (n=18) *San Francisco (n=99) New York City (n=48) *Santa Clara (n=49) *San Joaquin (n=15) *Imperial (n=11) %ofExpectedDosesObserved *Rates increased when unviewable videos and partial doses were counted as “observed” (SD=88%; SF=94%; SC=92%; SJ=98%; Imp=93%) 25
  • 27. VDOT FEDO DOT FEDO DOT Adherence 0.00.20.40.60.81.0 FractionofExpectedDosesObserved Median=93% Median=66% Median=100% P<.001 P<.001 FEDO = number of doses observed divided by the number of doses expected Adherence = number of doses observed via DOT divided by the number of prescribed doses VDOT vs. DOT in 5 California TB Programs 26Garfein, et al., Emerging Infectious Diseases 2018;24:1806-1815
  • 28. • DOT personnel costs included time for patient contact, administrative tasks, and travel. • VDOT personnel costs included time for DOT visits prior to initiating VDOT, patient VDOT training, administrative tasks, video observation, and follow-up when expected videos were not received. • Corporate pricing used for smartphones ($100) and service plans ($54/mth). VDOT app priced at $35/patient/mth. • Excludes costs for antibiotics, laboratory tests, chest radiographs and clinical exams. $4609 $4549 $4888 $3212 $5788 $3141 $3179 $3911 $3031 $3137 0 1000 2000 3000 4000 5000 6000 7000Cost(USD) In-person DOT VDOT -30% -20% -6% -46% Total San Diego San Francisco San JoaquinImperial -32% Cost to Monitor Standard 6-Months of TB Treatment, California (2015-2016) 27Garfein, et al., Emerging Infectious Diseases 2018;24:1806-1815
  • 29. Patient Perspectives Split Dosing (31 y.o., male, U.S.) “The video was really helpful because of dual doses at different times and it would be really hard to do it in person” Transportation (21 y.o., female, Mexico) “I think the phone is better because I don’t have to call in to the hospital and go there to take my medication. Also I sometimes don’t have enough money to take the bus to the clinic” Autonomy (70 y.o., female, U.S.) “When I started I was depressed because I got sick from someone I was caring for. At first it was difficult for me to accept the treatment b/c they have to see me in person. I felt like I lost my freedom and felt like a prisoner. But this alternative was great” (37 y.o., male, Mexico) “VDOT is really good. It gives you confidence and makes you responsible for yourself and make a conscious decision to take your drugs without having someone else tell you to take them.” 28
  • 30. VDOT in Belarus Project milestones • 2015 WHO/ERS digital health strategy published • Jan 2015 : Feasibility assessment of VDOT (WHO) • Feb 2015: VDOT included in GF project proposal; MoH VDOT working group • May 2015 : technical specifications for VOT app; software finished by Jan 2016 • Jan 2016 : pilot single center VOT project • Oct 2016: programmatic expansion of VOT with GF support Slide courtesy of Alena Skrahina, Belarus NTP
  • 31. Programmatic expansion of VOT in Belarus Patients regional distribution - 52 35 Minsk City 71 Minsk region 40 Gomel region 52 Mogilev region 21 Vitebsk region Brest region Grodno region 24 5 18 9 16 425 15 Slide courtesy of Alena Skrahina, Belarus NTP
  • 32. Programmatic Expansion of VDOT in Belarus, 2017 n=231 Gender m/f 139/92 (60%/40%) Age 18-25 26-35 36-45 46-55 56-65 >65 37 (16%) 75 (32%) 60 (26%) 31 (13%) 26 (11%) 2 (1%) Social data employed student unemployed maternity leave military service 121 (52%) 12 (5%) 86 (37%) 10 (4%) 2 (1%) DR profile Drug susceptible Monoresistance (R) MDR Pre-XDR XDR 110 (47%) 6 (2%) 45 (19%) 36 (16%) 34 (15%) n=231 Total MDR-TB - 50% Slide courtesy of Alena Skrahina, Belarus NTP
  • 33. Belarus VDOT Treatment Outcomes Final treatment outcomes in 61 TB patients on VDOT: • Treatment success (DS-TB) – 59 (96%) • Death (XDR-TB) – 1 (2%) • LTFU (MDR-TB) – 1 (2%) • 170 patients are still on treatment Nationwide scale-up ongoing Slide courtesy of Alena Skrahina, Belarus NTP
  • 34. VDOT for TB Treatment among HIV+ Patients, Tijuana, Mexico UCSD CFAR Developmental Pilot Grant (PI: F. Munoz) • Objectives • To evaluate VDOT for monitoring TB treatment adherence among HIV/TB co-infected persons in Tijuana, Mexico • Methods • HIV-positive patients (N=19) prescribed oral TB medications recruited from CAPASITS and Tijuana General Hospital • Eligibility § >18 years old § Able to speak Spanish § No plans to move from Tijuana within the study period § Willing and able to provide informed consent § Data Collection § 15-minute baseline and follow-up interviews assessed sociodemographic, clinical, risk factor and VDOT perception variables
  • 35. VDOT (n=19) n (%) In-Person DOT* (n=50) n (%) Mean Age (SD) Range 34.1(8.2) 25-56 34.3 (16.0) 21-55 Gender: Male Female 13 (68.4) 6 (31.6) 38 (76.0) 12 (24.0) Treatment Outcome Continue in treatment Completion of treatment (Cured) Lost to follow-up (Abandonment) Died during TB treatment Treatment suspended 12 (57.1) 4 (19.0) 2 ( 9.5) 0 1 ( 5.2) n/a 12 (28.5) 12 (28.5) 6 (14.2) 1 ( 2.3) Fraction of Expected Doses Observed (mean)** 94.7% 95.5% TB Treatment Using VDOT among HIV+ Patients, Tijuana, Mexico *Adherence for historical controls obtained through medical record review for a random sample of patients treated for TB in the 1 year prior to the study.
  • 36. n (%) Overall, I’m “somewhat/very satisfied” with TB treatment using VDOT 17 (100) I would choose VDOT over DOT if treatment had to be repeated 17 (100) I would you recommend VDOT to other patients 17 (100) Confidentiality of VDOT compared to DOT VDOT > DOT 11 (64.7) VDOT = DOT 6 (35.3) Overall, how difficult was the VDOT process? Somewhat/Very easy 14 (82.4) Somewhat Difficult 2 (11.7) Very difficult 1 ( 5.9) How often did you have problems with the VDOT application? Never 12 (70.6) Rarely 5 (29.4) HIV+ Patient Satisfaction with VDOT for TB Treatment, Tijuana, Mexico (n=17)
  • 37. WHO Endorsement *Results not available at the time of WHO Guidelines publication showed that VDOT had twice the efficacy and was more acceptable to patients and providers compared to DOT. Story A. VDOT in the UK: Results of a Randomized Control Trial. 2017 Union NAR Meeting, Vancouver, Canada. https://bc.lung.ca/lung-disease/union-north-america/2017-meeting-archives. * 36
  • 38. United Kingdom TB Reach Study • Design – Randomized controlled trial • Location – London and Birmingham, England • Study Period – 2013-2017 • Eligibility • Include - TB patient age >16 years eligible for DOT at participating clinics • Exclude - can’t charge phone / <2 months treatment remaining • Primary outcome • Proportion of patients with >80% of doses observed • Data collection – Baseline and follow-up interviews Story A, Aldridge RW, Smith CM, et al., Smartphone-enabled video observed versus directly observed treatment for tuberculosis: a randomised controlled trial. Lancet (in press)
  • 40. TB Reach Baseline Characteristics 0 10 20 30 40 50 60 70 80 90 16-24 25-34 35-44 45-54 55-64 >=65 Male Female No Yes No Yes Age group Sex Born in UK Previous TB VDOT DOT
  • 41. Complex cases * Any current social risk factor = Homeless, problem drug use, alcohol, prison 0 10 20 30 40 50 60 70 Social risk factor (any) * Homeless Prison Drug misuse Alcohol misuse Mental illness Immigration concerns DOT VOT
  • 42. Proportion of Subjects who had >80% of Scheduled Doses Observed by Month Numbers above bars are numbers of patients who had scheduled treatment observations in each month following randomisation and numbers who completed >80% of scheduled observations. Error bars are 95% confidence intervals. VDOT DOT
  • 43.
  • 44. VDOT Cost Analysis: United Kingdom • Cost to provide DOT for six months • £5,700 per patient for five times per week • £3,420 per patient for three times per week • Cost to provide daily VDOT for six months • £1,645 per patient for seven times per week
  • 45. VDOT for Monitoring Adherence to LTBI Treatment (V-MALT) NIH U01-AI116392; PI: R. Garfein Study Aims ØTo determine whether latent TB infection (LTBI) treatment adherence and completion are greater for patients treated with 12 doses of Isoniazid and Rifapentine (3HP) administered through VDOT compared to DOT ØTo compare treatment perceptions between VDOT and DOT ØTo measure the cost-effectiveness between VDOT and DOT
  • 46. VMALT Study Population & Eligibility • Sample • 310 patients with LTBI (n=155 per arm) • Recruited from San Diego County TB Control Program LTBI clinics and UCSD Student Health Services • Eligibility Criteria • Candidate for 3HP (based on CDC and HHSA guidelines) • Age ≥13 years • Plan to stay in San Diego area for next 4 months • No physical or cognitive disabilities that preclude VDOT • Unless household member can assist for the duration of the study • Willing to follow study procedures and provide informed consent • Timeline • Feb. 2016 – ongoing = Enrollment period • Aug. 2019 – Feb. 2020 = Data analysis and reporting
  • 47. VDOT in High Burdon Low Healthcare Access Regions Ongoing Projects: • Haitian Prisons • Philippines MDR-TB Patients • Kazakhstan TB Patients • Vietnam Private Sector • Uganda UNITAID and StopTB Partnership have awarded several million dollars for pilot and implementation projects in over 8 countries to scale-up VDOT globally
  • 48. Are Digital Adherence Technology Apps Enough? • In-person DOT • Synchronous VOT • Asynchronous VOT • 99DOTS • WisePill • SMS • Ingestible sensors • AI observation • Others • Physicians • DOT workers • Case managers • Health educators • Family supporters • Surveillance ? ? Patient Inputs Patient Supporters
  • 49. Opportunities in HIV for VDOT? • LTBI treatment for HIV+ • Establishing treatment routines for ARV initiates • Supporting patients with low ARV adherence • Monitoring adherence to PrEP • Monitoring adherence in drug trials • Other uses?