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mHealth to Improve Health: A weekly text messaging intervention to improve ART adherence and HIV Viral Load in a Canadian Context: WelTel OAKTREE K.Friesen, A.Qiu, O.Goktepe, E.Maan, N.Pick, A.Alimenti, M.Kestler, K.Smillie, D.Money, R.Lester, M.Murray & WelTel OAKTREE Study Team

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  • mHealth to Improve Health:A weekly text messaging intervention to improve ART adherence and

    HIV Viral Load in a Canadian Context: WelTel OAKTREE

    K.Friesen, A.Qiu, O.Goktepe, E.Maan, N.Pick, A.Alimenti, M.Kestler,

    K.Smillie, D.Money, R.Lester, M.Murray & WelTel OAKTREE Study Team

  • Relationships with commercial interests:

    Grants/Research Support:

    Bristol-Meyers-Squibb, Gilead Sciences

    Other:

    Telus (Has provided in-kind phone support)

    WelTel (Has provided in-kind platform support)

    Disclosure

  • Background

    https://233livenews.wordpress.com/2015/02/25/unaids-welcomes-further-evidence-of-the-efficacy-of-

    antiretroviral-medicines-in-preventing-new-hiv-infections/antiretroviral-drugs/

  • • RCT – WelTel Kenya 1

    • Kenya, 538 participants

    • SMS

    • May 2007-Oct 2008

    • FINDINGS:• SMS patient support

    significantly improved ART adherence and rates of viral suppression (First report)

    • SMS patients: 24% more likely to be adherent to ART

    • SMS patients 19% more likely to have suppressed VL

    Background

    Lester et. Al. Lancet 2010 Nov 27;376(9755):1838-45. Epub 2010 Nov 9.

  • Background

  • Oak Tree Clinic

    •Provide optimal care,

    treatment and support

    for HIV positive women,

    pregnant women,

    children, youth and

    partners.

  • Inter-disciplinary, collaborative clinic:

    Oak Tree Clinic

    • Front desk staff

    • Clinic Aide

    • Physicians(ID,OB,Peds)

    • Dietitian

    • Nurse Clinicians

    • Psychiatrist

    • Trauma & Addiction Counselor

    • Part time child care provided by

    Volunteers and a literacy

    program

    • Social Worker

    • Nurse Practitioners

    • Outreach Workers

    • Pharmacists

    • Research team

    • Program Manager

  • • Repeated measures study of 85 participants from the

    Oak Tree Clinic

    Baseline year: 1 year prior to study enrollment

    Study year: 1 year of receiving the intervention

    Study Design

    Enrollment period: April 2013 -May 2014

  • 1) Attended clinic for ≥ 1 year prior to study entry

    2) Age ≥14 years.

    3) Indication for cART

    4) Any viral load ≥200 copies/mL in the control year.

    5) Vulnerable Population • poor engagement in care

    • difficult to contact

    • poor or non-adherence to ARV therapy

    • advanced HIV infection/AIDS

    • unstable housing situation

    • recent/active problem substance use

    • intimate partner violence

    • mental health factors

    Inclusion Criteria

  • 1) Attended clinic for

  • • If patients have no cell phone….

    • They are provided with a basic phone and unlimited texting for the duration of the study.

    • They are taught to use the phone/text as required.

    • If patients have a cell phone with unlimited texting….

    • They are taught to use the phone/text as required.

    The Intervention

  • • Weekly text message x 12 months using our

    automated text messaging platform….

    http://bell-canada.be.funpic.de/images/3-bell-canada-international-text-messaging.jpg

    The Intervention

  • • Repeated measures mixed-effect regressions to

    test for an effect of weekly SMS text messaging

    on…

    • VL

    • CD4

    • Clinic and other appointment attendance

    • Adherence to ARV’s.

    • QOL assessment and cost analysis

    Analysis

  • TABLE 1Participant Demographics (n=81) N (%)

    Gender Female

    MaleTransgender

    73 (90.1%)

    6 (7.4%)2 (2.5%)

    Age (years) Median (Range) 39.4 (15-61)

    Ethnicity

    Caucasian

    Indigenous

    African/Caribbean BlackSouth Asian

    31 (38.3%)

    27 (33.3%)

    18 (22.2%)5 (6.2%)

    IncomeSocial Assistance

    EmployedOther

    64 (79%)

    4 (5.0%)13 (16.0%)

    Cell phone ownership (baseline)

    YesNo

    43 (53.1%)38 (46.9%)

    Baseline CD4 Median (Range) 350 (10-490)

    23 (29%)

  • At study end:

    35 participants VL

  • *repeated measures mixed effects linear regression@repeated measures mixed effects logistic regression

    TABLE 2

    Effectiveness Measure

    Control Year

    Intervention Year

    Coefficient P-value

    Mean log10 HIV

    Viral Load*

    2.92 2.57 -0.26 0.015

    Mean CD4 Count (cells/mm3) *

    345.2 356.5 0.005 0.74

    ART Adherence

    (predicted mean % doses taken)@

    67.1% 70.0% 0.13

  • Box plots of median population log10 VL in the control year vs. study end. Using the

    Wilcoxon rank sum test there is a significant decrease in log10 VL at study end (p=0.007)

  • What about texting

    response rates?

  • 0,00

    0,10

    0,20

    0,30

    0,40

    0,50

    0,60

    0,70

    0,80

    1 6 11 16 21 26 31 36 41 46 51

    Pro

    po

    rtio

    n

    Weeks

    Response Rates for Duration of Study

    Problem:

    OK

    No Response

  • • Median response rate: 51.9% (range: 0-98%)

    • Mean response rate: 50%

    • If we dichotomize based upon this….

    • “responders” – 50% or greater response rate

    • “non-responders” -

  • Response Rates

    Pre-intervention Intervention

    year

    End VL Change

    Responders

    VL (median) 2.62 log 1.90 log 1.59 log -1.03 log

    ARV Adherence

    (median)

    68.8% 82.5% +13.7%

    Non-responders

    VL (median) 3.00 log 2.90 log 2.61 log -0.39 log

    ARV Adherence

    (median)

    50.7% 51.5% +0.8%

    Adherence: Responder vs. Non-responders, p=0.008

    VL between groups: p=0.03Kruskall-Wallis test

  • • WTOT-13:

    “Having that, just having that knowing that that connection was there. And knowing that it was a

    woman. And specific to my, MY needs, my

    health care needs. Like, you don't feel like when

    you're given those phones that there's 300 other

    women out there. You feel like you’ve got one-to-one with your healthcare provider, 24/7.”

    Benefits

  • What is the impact of the

    intervention on the clinic?

  • Person A

    Person B

    Person C

    Person D

    Person E

    Person F

    Person

    GPerson H

  • 218 148348

    376

    270

    172

    21947

    2451

    284

    Physician

    Outreach

    Nurse Practitioner

    Social Work

    Counsellor

    Front Desk

    Study RA

    Dietician

    Study Nurse

    Pharmacy

    Total Time: 75.5 hours (4533 minutes).

    53 minutes/person enrolled for 1 year of coverage

    Time Usage (minutes)

  • 8

    4,9

    6,7 6,1 5,7

    27

    15

    7,7 7,8

    4,4

    6

    0

    5

    10

    15

    20

    25

    30

    Mean Time per Interaction (minutes)

  • Study Nurse – 2451 minutesCheck-in

    Social Work

    Mental Health

    Medical

    Medication related

    Test Results

    Outside referral

    Other

    Other text

    Appointmentreminders

  • Nursing PracticeHi! This is Karen, we changed the ultrasound appt to thurs at 10am. There r a couple of instructions. Is

    there a number I can call u on?

    Thurs at 10am at [location]. U have to eat a fat free supper on Wed and

    then fast from midnight on.

    When is the appt?

    Dr. M wants to ask how your breathing is these days. Have u

    been able to take the septra?

    How are you?

    I’m ok I missed my ultrasound yesterday can

    u rebook please?

  • • Population VL decreased significantly from control to

    intervention year, and from control year to study end.

    • ART adherence improved significantly from control to

    intervention year

    • No change was seen in CD4 count or appointment

    attendance.

    • Those who actively participated in text-messaging had a

    greater improvement in adherence and HIV VL.

    • Results suggest the WelTel intervention is an effective

    tool for reducing HIV VL load and improving ART

    adherence in poorly engaged, vulnerable Canadian

    populations.

    Conclusions

  • Our Sponsors:

    • WelTel

    • Gilead Sciences

    • Bristol-Myers-Squibb

    • Telus

    Our Team:

    • Dr. Melanie Murray

    • Dr. Richard Lester

    • Evelyn Maan

    • Annie Qiu

    • Ozge Goktepe

    • Kirsten Smillie

    Our Team:

    • Nancy Makela

    • Sara O’Shaughnessy

    • Jasmina Memetovich

    • Jonathan Steif

    • Dr. Neora Pick

    • Dr. Mary Kestler

    • Dr. Ariane Alimenti

    • Dr. Laura Sauve

    • Dr. Deborah Money

    • Oak Tree Study Team

    Acknowledgments

    All of those who participated in the study

  • thank you!