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Development of a Computer- Based Tailored Information Application to Improve HIV- Related Treatment Adherence: Preliminary Findings Raymond L Ownby, MD, PhD Nova Southeastern University Fort Lauderdale FL

Development of a Computer-Based Tailored Information Application to Improve HIV-Related Treatment Adherence

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Page 1: Development of a Computer-Based Tailored Information Application to Improve HIV-Related Treatment Adherence

Development of a Computer-Based Tailored Information Application to Improve HIV-Related Treatment Adherence: Preliminary Findings

Raymond L Ownby, MD, PhDNova Southeastern UniversityFort Lauderdale FL

Page 2: Development of a Computer-Based Tailored Information Application to Improve HIV-Related Treatment Adherence

Medication adherence in HIVAdherence needed to suppress

viral replication = 80-95%Typical adherence = 60-70%Viral suppression decreased

risk of infecting othersViral suppression better clinical

outcomes

Page 3: Development of a Computer-Based Tailored Information Application to Improve HIV-Related Treatment Adherence

Health literacyKnowledge, abilities, and skills

required to attain a desired state of health

Related to multiple clinical variables◦Disease control (diabetes)◦Hospitalization (Medicare data)◦Death (Medicare data)◦Medication adherence (HIV)

Page 4: Development of a Computer-Based Tailored Information Application to Improve HIV-Related Treatment Adherence

IMB Model

Information: How meds work, how to cope with side effects

Motivation: Social support, depressionBehavioral Skills: How to remember to

take medications, cope with obstacles

Page 5: Development of a Computer-Based Tailored Information Application to Improve HIV-Related Treatment Adherence

Tailored informationPersonalizationIndividualized feedbackEnhancing perceived relevanceIncreases impact on patient behavior

◦ 10%+ increase in dietary intake of fruits◦ 10-15% improvement in adherence in

older adults treated for memory problems

Page 6: Development of a Computer-Based Tailored Information Application to Improve HIV-Related Treatment Adherence

The intervention

An overview of topics

Instructional theory

Page 7: Development of a Computer-Based Tailored Information Application to Improve HIV-Related Treatment Adherence

A Flash animation provides a preliminary overview of the virus life cycle

Page 8: Development of a Computer-Based Tailored Information Application to Improve HIV-Related Treatment Adherence

The animation emphasizes specific stages in the viral life cycle

These stages are later reviewed in discussion of how medications work

Page 9: Development of a Computer-Based Tailored Information Application to Improve HIV-Related Treatment Adherence

A key aspect of the intervention is interactivity

Participant learning is assessed with questions

If needed, content is retaught

Page 10: Development of a Computer-Based Tailored Information Application to Improve HIV-Related Treatment Adherence
Page 11: Development of a Computer-Based Tailored Information Application to Improve HIV-Related Treatment Adherence
Page 12: Development of a Computer-Based Tailored Information Application to Improve HIV-Related Treatment Adherence

MEMSMedication Event

Monitoring System

Adherence indices◦Taken (e.g.,30 pills in 30

days)◦Correct (e.g., 1pill/24 hours)◦Scheduled (e.g.,+/- 2 hours)

Page 13: Development of a Computer-Based Tailored Information Application to Improve HIV-Related Treatment Adherence

Sample (n = 110) 

Minimum Maximum Mean SD

Age 20 67 47.1 9.0

Years Positive 0 38 15.5 8.0

Years Treated 0 30 11.6 7.3

% Correct 6.9 100.0 81.2 21.9

% Schedule 0 100.0 70.4 27.6

CD4 62 1574 486.7 264.6

Page 14: Development of a Computer-Based Tailored Information Application to Improve HIV-Related Treatment Adherence

Race/Ethnicity

 Frequenc

y Percent

Asian 2 1.8

Black/African American 63 57.3

Black/Caribbean 3 2.7

White/European 42 38.2

Gender

Women 30 27.3

Men 80 72.7

Page 15: Development of a Computer-Based Tailored Information Application to Improve HIV-Related Treatment Adherence

Education

 11th grade or less 35 31.8

High school / GED 43 39.1

Some college/ Technical school 18 16.4

College graduate (BA or BS) 10 9.1

Master's degree 2 1.8

Total 108 98.2

Page 16: Development of a Computer-Based Tailored Information Application to Improve HIV-Related Treatment Adherence

Results: LifeWindows IMB scale

Information◦ F = 7.141, p = 0.001

◦ f = 0.35, a medium to large effect size

Motivation◦ F = 0.75, p = 0.48

Behavioral Skills◦ F = 8.64, p < 0.001

◦ f = 0.39, a medium to large effect

Based on completers◦ 3 drop outs

Page 17: Development of a Computer-Based Tailored Information Application to Improve HIV-Related Treatment Adherence

Results: Self Efficacy, DepressionPatient-Provider Interaction

◦F = 5.17, p = 0.007; f = 0.29, medium effect

Healthcare Self-efficacy ◦F = 11.71, p = 0.001; f = 0.39,

medium to large effectDepression and Social Support

◦ Not significant

Page 18: Development of a Computer-Based Tailored Information Application to Improve HIV-Related Treatment Adherence

Results: AdherencePercent Taken

◦Number of doses / month◦F = 4.21, p = 0.04; f = 0.25, a

medium effectPercent Correct

◦Number of doses / day◦F = 5.31, p = 0.02; f = 0.27, a

medium effect

Page 19: Development of a Computer-Based Tailored Information Application to Improve HIV-Related Treatment Adherence

ConclusionsParticipation in the intervention is

associated with improved Information Behavioral skills Self-reported ability to work with clinicians Healthcare self-efficacy

Not associated with improved Motivation Social support Mood

Page 20: Development of a Computer-Based Tailored Information Application to Improve HIV-Related Treatment Adherence

DiscussionPreliminary results

◦Study not yet completedClinical vs. statistical significance

◦Medium effect sizes comparable to other behavioral interventions

◦Adjunct to other interventionsPre-post design (no control group)

Page 21: Development of a Computer-Based Tailored Information Application to Improve HIV-Related Treatment Adherence

Future directionsOther languagesOther aspects of treatment adherence

◦Appointments◦Diet, exercise

Other disorders◦Diabetes◦Congestive heart failure

Page 22: Development of a Computer-Based Tailored Information Application to Improve HIV-Related Treatment Adherence

Support:Support for this study was

provided by grant R21MH086491 to Dr. Ownby from the National Institute on Mental Health.

Page 23: Development of a Computer-Based Tailored Information Application to Improve HIV-Related Treatment Adherence

Collaborators

Drenna Waldrop-Valverde, PhDJosh Caballero, PharmDRosemary Davenport, RN, MSN,

ARNPRobin Jacobs, PhD