Whats Love Got to Do With It? Relationship Factors and HIV - - PowerPoint PPT Presentation

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Whats Love Got to Do With It? Relationship Factors and HIV - - PowerPoint PPT Presentation

Whats Love Got to Do With It? Relationship Factors and HIV Treatment Adherence Mallory O. Johnson, Ph.D. Mallory.Johnson@ucsf.edu Center for AIDS Prevention Studies University of California, San Francisco Center for Health, Intervention,


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What’s Love Got to Do With It?

Relationship Factors and HIV Treatment Adherence

Mallory O. Johnson, Ph.D. Mallory.Johnson@ucsf.edu

Center for AIDS Prevention Studies University of California, San Francisco

Center for Health, Intervention, and Prevention Nov. 18, 2010

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SLIDE 2

Objectives

  • Why study couples and HIV treatment

adherence

  • What have we learned
  • Where are we going
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SLIDE 3

AIDS Cases, Deaths & Prevalence 1980 - 2006

2000 4000 6000 8000 10000 600 1200 1800 2400 3000

80 82 84 86 88 90 92 94 96 98 00 02 04 06

Number of Persons Living with HIV Number of AIDS Cases/Deaths Year of Diagnosis/Death

Cases Deaths Persons Living with HIV/AIDS

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SLIDE 4

Why Study Adherence? Adherence related to

  • Virologic control
  • Treatment resistance
  • Morbidity
  • Quality of life
  • Survival
  • Health care costs
  • HIV transmission

– Personal and community

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SLIDE 5

Predictors of Poor Adherence

  • Side effects
  • Substance use/abuse
  • Regimen complexity
  • Depression
  • Poor social support
  • Lack of knowledge
  • Low perceived efficacy of

treatment

  • Memory problems
  • Stigma
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SLIDE 6

Why Study Couples?

  • Social support and health
  • Primary relationships

– Education – Diet – Exercise – Drug use – Smoking

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SLIDE 7

Challenges of Studying Couples

  • Complicated

– Definition of a couple – Design, data collection, and analysis

  • Expensive
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SLIDE 8

Why Study Couples and Adherence?

  • Prior counter-intuitive findings
  • Can relationships promote or

derail adherence?

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SLIDE 9

Duo Project

Relationship Factors and HIV Treatment Adherence

R01NR010187

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SLIDE 10

Duo Phases

2006- 2007

  • Qualitative phase

2008

  • Measure development

2008- 2010

  • Cross-sectional

2009- 2013

  • Longitudinal quantitative
  • Longitudinal qualitative

2012- 2015

  • Intervention development
  • piloting
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SLIDE 11

Framework

  • Interdependence Theory
  • Social Control
  • Health Care Empowerment
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SLIDE 12

Responsibility Divided

He’s so pissed. He goes, “Well,” when he finds out, especially last week when I missed four days in a row, “God damn it.” And he goes, “I’m going to have to just light up your cell phone. I don’t care what you’re doing, you know, whatever you’re doing you’re going to drop what you’re doing and take your pills.” He said, “I’m going to call you between ten and one everyday, just light up your phone until you tell me you’ve taken your pills.” But ever since then I’ve been taking them so when he does call, “Yeah, I took them.” So that’s it.

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SLIDE 13

Autonomy

He doesn't need me to stand behind him to take

  • it. And this is another thing why we get along

so well, is because you know what, if he decides one day that he doesn't want to take it, I’m not going to push him on it, okay? Because it’s his choice whether he wants to take it, okay? It’s his body, it’s his temple.

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SLIDE 14

Partner dynamics

Partner A:

“I like the daddy type and he certainly is—he’s that type, looks, and personality.”

Partner B:

“Well, I certainly love him. He’s very dependent, which I don’t mind. I mean, I don’t mind being a parent.” “We seem to be very compatible, because he pushes me around and I let him.

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SLIDE 15

Cross-sectional approach

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SLIDE 16

Meet Paul and Phil

  • Both HIV+
  • Both on meds
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SLIDE 17

Paul’s Stuff Phil’s Stuff Phil’s Outcomes Paul’s Outcomes

Actor Effect Actor Effect

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SLIDE 18

Paul’s Stuff Phil’s Stuff Phil’s Outcomes Paul’s Outcomes

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SLIDE 19

Paul’s Stuff Phil’s Stuff Phil’s Outcomes Paul’s Outcomes Actor Effect Actor Effect

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SLIDE 20

Recruitment

  • Sought male couples

– Together at least 3 months

  • One or both men are HIV+
  • One or both taking HIV meds
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SLIDE 21

Recruitment

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SLIDE 22

Methods

  • Phone screen

– Separate – “Smell check” for fake couples

  • Verified meds and identity
  • Separate ACASI interviews
  • Blood draw for CD4 and viral load
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SLIDE 23

Explanatory Variables

  • Depression
  • Treatment Beliefs

– General med concerns – Specific concerns – Specific necessity

Relationship

–Satisfaction –Autonomy –Intimacy –Equality –Commitment –Communication

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SLIDE 24

Outcomes

  • Adherence Self Efficacy

– Integration – Perseverance

  • Self Reported Adherence

– 3 day – 30 day

  • Viral Load

– Detectable v not – Log10 transformed

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SLIDE 25

Analysis

  • Actor- Partner analyses

– Multivariate using p<.25 for inclusion – All results are p<.05 in adjusted models

  • Control for actor’s

– Relationship Length – Living Together – Time on ART – Age – Number of pills per day

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SLIDE 26

Sample

  • 420 men
  • 91 discordant couples
  • 119 concordant couples
  • 45 years old
  • 17% AA
  • 18% Latino
  • 91% gay
  • 26% HS grad or less
  • 84 months as couple
  • 12 years HIV+
  • 9+ years on meds
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SLIDE 27

PAUL’s

Concerns about Meds (-) Autonomy

Age Time on Meds (-)

PHIL’s

Depression (-)

PAUL’s

Adherence Self Efficacy INTEGRATION

Self Efficacy Integration Scale

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SLIDE 28

PAUL’s

General Med Concerns (-) Specific Med Concerns (-) Depression (-) Autonomy Intimacy

Time on Meds (-)

PHIL’s

Relationship Satisfaction

PAUL’s

Adherence Self- Efficacy PERSEVERANCE

Self Efficacy (Perseverance)

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SLIDE 29

PAUL’s

General Med Concerns (-)

Fewer pills per day

PHIL’s

Beliefs that Paul’s meds are necessary

PAUL’s

3 DAY ADHERENCE

3 DAY ADHERENCE

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SLIDE 30

PAUL’s

Relationship Communication

Time on meds (-)

PHIL’s

General Concerns about Meds (-)

PAUL’s

30 DAY ADHERENCE

30 DAY ADHERENCE

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SLIDE 31

PAUL’s

NOTHING

Time in relationship (-)

PHIL’s

Commitment (-)

PAUL’s

Detectable Viral Load

VIRAL LOAD (Detect v. not)

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SLIDE 32

PAUL’s

NOTHING

PHIL’s

Commitment (-)

PAUL’s

Viral Load

VIRAL LOAD (log10)

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SLIDE 33

Summary of Findings

  • Both actor and partner effects on

– Self Efficacy for Adherence – Self-Reported Adherence – Viral load

  • Relevant constructs

– Depression – Treatment beliefs (general and specific) – Relationship factors (autonomy, commitment, satisfaction, intimacy, and communication)

  • Partner effects w/o corresponding actor effects
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SLIDE 34

Limitations

  • Cross-sectional data
  • Convenience sample
  • High levels of

adherence

  • Long time with HIV
  • Long time on meds
  • Relationship length
  • Self-reported

adherence

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SLIDE 35

From here to where?

  • Follow couples over time

–6, 12, 18, and 24 months –Include break up interviews

  • Qualitative interviews
  • Intervention development
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SLIDE 36

Paul’s Stuff Phil’s Stuff Phil’s Outcomes Paul’s Outcomes Actor Effect Actor Effect

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SLIDE 37

Paul’s Stuff Phil’s Stuff Phil’s Outcomes Paul’s Outcomes

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SLIDE 38

What’s in the black box?

  • Tactics
  • Support Received
  • Support Provided
  • Substance Use?
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SLIDE 39

Partner A á QOL/ Well-Being á Coping/Problem solving â Substance Use Couple á Relationship Quality á Relationship Satisfaction á Intimacy á Communication â Conflict Partner B á QOL/ Well-Being á Coping/Problem Solving â Substance Use Partner A Support Provided á Overall Support Provided á Positive Tactics â Negative Tactics Partner A Support Received á Overall Support Received á Positive Tactics â Negative Tactics Partner B Support Received á Overall Support Received á Positive Tactics â Negative Tactics Partner B Support Provided á Overall Support Provided á Positive Tactics â Negative Tactics Partner A á Adherence Partner B á Adherence Partner A á CD 4 â Viral Load Partner B á CD 4 â Viral Load

Figure 1. Conceptual Model

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SLIDE 40

Duo Phases

2006- 2007

  • Qualitative phase

2008

  • Measure development

2008- 2010

  • Cross-sectional

2009- 2013

  • Longitudinal quantitative
  • Longitudinal qualitative

2012- 2015

  • Intervention development
  • piloting
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SLIDE 41

Tactics

  • Ask (76%)
  • Check in (72%)
  • Model (65%)
  • Remind (61%)
  • Encourage (56%)
  • Fill Rx (43%)
  • Point out importance (37%)
  • Reassure (36%)
  • Express concern (35%)
  • Watch, monitor, verify (35%)
  • Nag (31%)
  • Give meds directly (27%)
  • Offer advice (27%)
  • Point out conseq. (26%)
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SLIDE 42

‘Invisible’ Tactics Watch, Monitor, Verify

  • 34% received
  • 48% provided
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SLIDE 43

Perceived effects of tactics

  • Affective response

– Loved, valued, pleased, inspired? – Anxious, irritated?

  • On adherence (positive or negative)
  • On relationship (positive or negative)
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SLIDE 44

Partner Support/Involvement

  • Communication
  • Knowledge
  • Involvement
  • Support
  • Regimen knowledge
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SLIDE 45

Dyadic Data Analysis

  • Actor-Partner Effects
  • Sums and Differences Analysis

Doctors prescribe too many medications.

0 = not true to 10= very true

Paul says 10 Phil says 2 Sum = 12 Difference = 8 Peter says 6 Ned says 6 Sum = 12 Difference = 0

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SLIDE 46

What about other couples?

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SLIDE 57
  • NIH Grant R01NR010187
  • The DUO men
  • The DUO Project team

– Tor Neilands – Lynae Darbes – Megan Comfort – Joey Taylor – Fantastic recruiters, interviewers and phlebotomists

  • My mentor: Susan Folkman
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SLIDE 58

What’s Love Got to Do With It?

Relationship Factors and HIV Treatment Adherence

Mallory O. Johnson, Ph.D.

Mallory.Johnson@ucsf.edu

Center for Health, Intervention, and Prevention Nov. 18, 2010