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Improvement in adherence to HAART:
Best practices in adherence education by
three model programs
Myriam Hamdallah, MS, MPH
Center on AIDS & Community Health
FHI 360
Session Objectives


 – Provide a background/context of the study
 – Describe the three agencies and their adherence
   education interventions
 – Describe the study methodology
 – Share findings
 – Discuss implications and recommendations
Study Context – the ConnectHIV initiative


• ConnectHIV was a national initiative supported by
  the Pfizer Foundation through $7.5million in grants,
  technical assistance and networking resources over
  three years (2007-2010) to 20 mid-sized AIDS Service
  Organizations (ASOs) in the10 states with highest
  AIDS prevalence in the United States.
ConnectHIV Funding Categories
The 20 organizations differed in populations served &
  interventions implemented –
  from prevention of infections among high-risk, HIV-
  negative persons, to promotion of adherence and
  delay of disease progression among persons living
  with HIV
Agency Characteristics

Characteristics           ASO A    ASO B    ASO C
Agency funds for HIV
                          $2.17M   $3.96M   $2.80M
services
 FTE staff in agency        47      36        24
FTE staff dedicated to
                            2        1        4
program
PT staff dedicated to
                            5        2        3
program
Volunteers dedicated to
                            12       0        20
program
Agency Characteristics

Characteristics             ASO A   ASO B   ASO C
Staff to client ratio for
                            1:26    1:26    1:21
AE intervention
HIV/AIDS services
                             13       5       6
delivered in-house
% Clients substance
abuse/addiction co-          30      66      75
morbidity
% Clients - psychiatric
                             65      30      70
co-morbidity
Characteristics of populations served

100%
                                            ASO A
90%
                                            ASO B
80%
                                            ASO C
70%
60%
50%
40%
30%
20%
10%
 0%
        Female       Male     Sex w persons of Sex w persons of
                              the opposite sex the same sex
Age of the populations served

50%
               ASO A
45%
               ASO B
40%
               ASO C
35%
30%
25%
20%
15%
10%
 5%
 0%
       <= 19      20 - 29   30 - 39   40 - 49   50+
Intervention Characteristics

                      ASO A                       ASO B                          ASO C
             To mobilize family, peer    To help clients needing     To equip clients w. knowledge,
             & social support as key     additional assistance for   skills to understand science
Objectives




             elements in successful      stability in both housing   behind HIV, care & treatment;
             adherence.                  and medical adherence.      prevent 2˚ infection; focus on
                                                                     compliance and adherence;
                                                                     become advocates
             ● Individual counseling     ● Individual level          ● 18-hour peer-led training
             ● 8-session women’s         intervention.               (offered as a 3-day or a 6-day
             wellness HIV support        ● Peers met with            course) that includes 8 content
Structure




             groups                      clients once a week for     specific education modules
             ● Peers met 1X week, &      12 weeks or about 3
             face to face at intervals   months.
             for one year
             ● MEMS cap –2 weeks
Intervention Characteristics

                     ASO A                     ASO B                          ASO C
             Individual health       Individual meeting with      Counseling is provided in
             counseling with HIV     Peers; review medication     house as needed but is not
Counseling




             medication adherence    regimen; create I-MAPs;      part of the intervention.
             specialist              problem solve barriers to
                                     adherence; provide HIV med
                                     education & adherence
                                     counseling.
             Adherence education - Personalized medication        Fundamentals of HIV biology
             Help clients understand education; Review of         med development, resistance,
Education




             illness; provide        medication regimen;          doc/patient relation, advocacy,
             information on meds & Individual Medication          nutrition, compliance &
             regimen.                Adherence Plans (I-MAPs),    adherence to HIV in special
                                     are completed.               popn, clin trials, co-infections
Intervention Characteristics

                        ASO A                      ASO B                  ASO C
              Clients are assigned a     Peers conduct the        Peers lead the
 Peer Piece




              treatment adherence        intervention with        training.
              buddy; they can attend     supervisory support.
              support groups.
              One-hour training session, Peers received 2 month   18-hour peer-led
              paid $40 to attend.        training serve as Peer   training (offered as a
 Training




                                         Coordinator or Peer      3-day or a 6-day
                                         Interns.                 course).


              $20 for treatment          $200/week                $20 at conclusion of
 Incentive




              adherence buddy; $10 for                            training; bus passes,
              joint coffee meeting.                               meals.
Study Methods

• survey/interview designed in collaboration with the
  grantees and an Evaluation Advisory Committee
• IRB approval obtained
• 30 min individual interview with client
• baseline and two follow-up measures
   – 2-6 months from baseline for the second measure
   – 6-12 months from baseline for the third measure
Variables

•   HIV disease management knowledge
•   Overall experience taking HIV medications
•   Viral load
•   CD4 count
•   Perceived health score
Variables and Measures

• HIV disease management knowledge score
  1. What happens when someone with HIV infection has a high
     CD4 count?
  2. What indicates that HIV infection has progressed to AIDS?
  3. Typically, how often should a person with HIV have their viral
     load and CD4+ counts assessed?
  4. In order for HIV medications to be effective, they should be
     taken…
  5. If someone with HIV misses or skips taking some of their anti-
     HIV medications…
  6. Anti-HIV medications can cause some health issues called
     "side-effects."
Variables and Measures

• Overall experience taking HIV medication
• Over the last 30 days, which of the following best
  describes your general experience taking your HIV
  medications?
   –   1. I never take my pills
   –   2. I take my pills less than 50% of the time
   –   3. I take my pills between 50 and 90% of the time
   –   4. I take my pills at least 90% of the time
   –   5. I take them exactly as prescribed, never missing a
       dose.
Variables and Measures

• Viral load
• Categorical variable developed from actual viral load
  data or self-reported viral load data (if clinical data
  was not available) with the following Likert-style
  categories:
   –   1.   Undetectable (<400 or <40 depending on test)
   –   2.   Detectable, but less than 1,000
   –   3.   Between 1,000 and 9,999
   –   4.   Between 10,000 and 55,000
   –   5.   More than 55,000
Variables and Measures

• CD4 count
  – What was your most recent CD-4 or T-cell count?’ A
    continuous variable was developed from the actual
    CD4 data or self-reported CD4 data (if clinical data was
    not available).
• Perceived health score
  – On a scale from 1 to 100, how would you rate your
    overall health?
  – Worst Health = 1; Perfect Health = 100
Data Analysis

• Generalized Estimated Equations (GEE) models were
  created to determine change over time (taking into
  account repeated measures over individuals –
  measures at baseline, post and follow-up)
• N=386

• The models controlled for client level confounders -
  age and gender

• Significance was reported at a < 0.05 level.
Findings

Change Across Mean Scores of Client Outcomes from Baseline to 1st
to 2nd Follow-up
                                  Mean Scores             Level of Significance
Outcome                                           Baseline Baseline 1st FU vs.
                           Baseline 1st FU 2nd FU vs. 1st FU vs. 2nd FU 2nd FU
Knowledge of HIV            11.36    11.98 12.14       <.001     <.001        NS
disease management
(1-14) (N=386)
Overall experience          4.36      4.52      4.58   <.001     <.001        NS
taking HIV medication
(1-5) (N=356)
Viral load (1-5) (N=374)    1.82      1.54      1.48   <.001     <.001        NS
CD4 count    (N=367)        517       543       554     <.05      <.01        NS
Perceived health score       76        81       83     <.001     <.001        NS
(1-100) (N=384)
Findings

                                          Overall Health Score by Period
                               100
                                     "How would you rate your health (1-100)?"
                                       ASO A
                                95     ASO B
Average Health Score (1-100)




                                       ASO C
                                90                                          88

                                85                      84

                                80     77                     80             79
                                                             79
                                75     75                                    77
                                        73
                                70
                                     Baseline            Post            Followup
Interactions

• Gender was significantly (p<.01) associated with
  knowledge of HIV disease management; males
  tended to score higher than females
• Gender was significantly (p<0.01) associated with
  HIV medication experience; men took their
  medications more consistently than women
• Age was significantly associated with viral load;
  clients 50 years and older had significantly lower viral
  load compared to those younger than 30 (p <0.05)
Interactions

• Gender significantly associated with overall health
  score, with males scoring higher than females
  (P<0.001)
• Age significantly associated with overall health score,
  with persons under 30 years of age scoring
  significantly higher than older persons (p<.001)
Discussion

• Significant positive change from baseline to post, &
  baseline to follow-up across all client outcomes

• All 3 interventions accomplished goal of improving
  adherence to HIV medications

• Two ASOs (A and B) reviewed individual regimens; B
  developed IMAPs (Individual Medication Adherence
  Plans); C’s intense training focused on adherence
Discussion

• Peers were key element in ASO B’s & C’s and a
  component of ASO A’s intervention
   – Rationale for peer support/peer-led interventions
      • Social support theory (positive relations; emotional &
        other support)
      • Experiential knowledge (practical experience)
      • Social learning theory (learning in social context & role
        modeling)
   – CDC’s compendium/adherence chapter includes two
     interventions with peer components
Discussion

•   Knowledge of disease mgmt – Men scored higher
    than women; & Adherence – Men had higher
    adherence than women (stigma; child care; adverse
    drug effects reported)
•   Viral load – older had lower VL than younger
    (increased virologic suppression in older adults
    reported in literature)
•   Health score – Men scored higher than women
Implications & Recommendations

• Patient education, imparting knowledge on HIV
  management & importance of adherence; review of
  regimens; problem solving to reduce barriers

• Strong, well supported peer components with
  structured training and incentives

• Consider competing priorities for women, in addition
  to managing potential adverse drug effects and
  stigma
Unpublished Manuscript and Acknowledgements

Authors:
• Myriam Hamdallah
• Stacey Little                 • Derek Worley
• Dave Nimmons                  • Caitlin Corcoran
• Lisa Rizzano                  • Susan J. Rogers


• Acknowledgements:
The authors would like to thank Evany Turk and Warren Reich as well as
other staff from the ConnectHIV grantee agencies and their clients for
their contribution to the manuscript and to Atiya Ali Weiss at the Pfizer
Foundation, David Holtgrave at Johns Hopkins University and to Sally
Munemitsu and Janice Brown at TCC.
Contact Information & Thank you!

• Myriam Hamdallah

• mhamdall@fhi360.org

• 202 884 8858

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Improvement in adherence to HAART: Best practices in adherence education by three model programs

  • 1. Improvement in adherence to HAART: Best practices in adherence education by three model programs Myriam Hamdallah, MS, MPH Center on AIDS & Community Health FHI 360
  • 2. Session Objectives – Provide a background/context of the study – Describe the three agencies and their adherence education interventions – Describe the study methodology – Share findings – Discuss implications and recommendations
  • 3. Study Context – the ConnectHIV initiative • ConnectHIV was a national initiative supported by the Pfizer Foundation through $7.5million in grants, technical assistance and networking resources over three years (2007-2010) to 20 mid-sized AIDS Service Organizations (ASOs) in the10 states with highest AIDS prevalence in the United States.
  • 4. ConnectHIV Funding Categories The 20 organizations differed in populations served & interventions implemented – from prevention of infections among high-risk, HIV- negative persons, to promotion of adherence and delay of disease progression among persons living with HIV
  • 5. Agency Characteristics Characteristics ASO A ASO B ASO C Agency funds for HIV $2.17M $3.96M $2.80M services FTE staff in agency 47 36 24 FTE staff dedicated to 2 1 4 program PT staff dedicated to 5 2 3 program Volunteers dedicated to 12 0 20 program
  • 6. Agency Characteristics Characteristics ASO A ASO B ASO C Staff to client ratio for 1:26 1:26 1:21 AE intervention HIV/AIDS services 13 5 6 delivered in-house % Clients substance abuse/addiction co- 30 66 75 morbidity % Clients - psychiatric 65 30 70 co-morbidity
  • 7. Characteristics of populations served 100% ASO A 90% ASO B 80% ASO C 70% 60% 50% 40% 30% 20% 10% 0% Female Male Sex w persons of Sex w persons of the opposite sex the same sex
  • 8. Age of the populations served 50% ASO A 45% ASO B 40% ASO C 35% 30% 25% 20% 15% 10% 5% 0% <= 19 20 - 29 30 - 39 40 - 49 50+
  • 9. Intervention Characteristics ASO A ASO B ASO C To mobilize family, peer To help clients needing To equip clients w. knowledge, & social support as key additional assistance for skills to understand science Objectives elements in successful stability in both housing behind HIV, care & treatment; adherence. and medical adherence. prevent 2˚ infection; focus on compliance and adherence; become advocates ● Individual counseling ● Individual level ● 18-hour peer-led training ● 8-session women’s intervention. (offered as a 3-day or a 6-day wellness HIV support ● Peers met with course) that includes 8 content Structure groups clients once a week for specific education modules ● Peers met 1X week, & 12 weeks or about 3 face to face at intervals months. for one year ● MEMS cap –2 weeks
  • 10. Intervention Characteristics ASO A ASO B ASO C Individual health Individual meeting with Counseling is provided in counseling with HIV Peers; review medication house as needed but is not Counseling medication adherence regimen; create I-MAPs; part of the intervention. specialist problem solve barriers to adherence; provide HIV med education & adherence counseling. Adherence education - Personalized medication Fundamentals of HIV biology Help clients understand education; Review of med development, resistance, Education illness; provide medication regimen; doc/patient relation, advocacy, information on meds & Individual Medication nutrition, compliance & regimen. Adherence Plans (I-MAPs), adherence to HIV in special are completed. popn, clin trials, co-infections
  • 11. Intervention Characteristics ASO A ASO B ASO C Clients are assigned a Peers conduct the Peers lead the Peer Piece treatment adherence intervention with training. buddy; they can attend supervisory support. support groups. One-hour training session, Peers received 2 month 18-hour peer-led paid $40 to attend. training serve as Peer training (offered as a Training Coordinator or Peer 3-day or a 6-day Interns. course). $20 for treatment $200/week $20 at conclusion of Incentive adherence buddy; $10 for training; bus passes, joint coffee meeting. meals.
  • 12. Study Methods • survey/interview designed in collaboration with the grantees and an Evaluation Advisory Committee • IRB approval obtained • 30 min individual interview with client • baseline and two follow-up measures – 2-6 months from baseline for the second measure – 6-12 months from baseline for the third measure
  • 13. Variables • HIV disease management knowledge • Overall experience taking HIV medications • Viral load • CD4 count • Perceived health score
  • 14. Variables and Measures • HIV disease management knowledge score 1. What happens when someone with HIV infection has a high CD4 count? 2. What indicates that HIV infection has progressed to AIDS? 3. Typically, how often should a person with HIV have their viral load and CD4+ counts assessed? 4. In order for HIV medications to be effective, they should be taken… 5. If someone with HIV misses or skips taking some of their anti- HIV medications… 6. Anti-HIV medications can cause some health issues called "side-effects."
  • 15. Variables and Measures • Overall experience taking HIV medication • Over the last 30 days, which of the following best describes your general experience taking your HIV medications? – 1. I never take my pills – 2. I take my pills less than 50% of the time – 3. I take my pills between 50 and 90% of the time – 4. I take my pills at least 90% of the time – 5. I take them exactly as prescribed, never missing a dose.
  • 16. Variables and Measures • Viral load • Categorical variable developed from actual viral load data or self-reported viral load data (if clinical data was not available) with the following Likert-style categories: – 1. Undetectable (<400 or <40 depending on test) – 2. Detectable, but less than 1,000 – 3. Between 1,000 and 9,999 – 4. Between 10,000 and 55,000 – 5. More than 55,000
  • 17. Variables and Measures • CD4 count – What was your most recent CD-4 or T-cell count?’ A continuous variable was developed from the actual CD4 data or self-reported CD4 data (if clinical data was not available). • Perceived health score – On a scale from 1 to 100, how would you rate your overall health? – Worst Health = 1; Perfect Health = 100
  • 18. Data Analysis • Generalized Estimated Equations (GEE) models were created to determine change over time (taking into account repeated measures over individuals – measures at baseline, post and follow-up) • N=386 • The models controlled for client level confounders - age and gender • Significance was reported at a < 0.05 level.
  • 19. Findings Change Across Mean Scores of Client Outcomes from Baseline to 1st to 2nd Follow-up Mean Scores Level of Significance Outcome Baseline Baseline 1st FU vs. Baseline 1st FU 2nd FU vs. 1st FU vs. 2nd FU 2nd FU Knowledge of HIV 11.36 11.98 12.14 <.001 <.001 NS disease management (1-14) (N=386) Overall experience 4.36 4.52 4.58 <.001 <.001 NS taking HIV medication (1-5) (N=356) Viral load (1-5) (N=374) 1.82 1.54 1.48 <.001 <.001 NS CD4 count (N=367) 517 543 554 <.05 <.01 NS Perceived health score 76 81 83 <.001 <.001 NS (1-100) (N=384)
  • 20. Findings Overall Health Score by Period 100 "How would you rate your health (1-100)?" ASO A 95 ASO B Average Health Score (1-100) ASO C 90 88 85 84 80 77 80 79 79 75 75 77 73 70 Baseline Post Followup
  • 21. Interactions • Gender was significantly (p<.01) associated with knowledge of HIV disease management; males tended to score higher than females • Gender was significantly (p<0.01) associated with HIV medication experience; men took their medications more consistently than women • Age was significantly associated with viral load; clients 50 years and older had significantly lower viral load compared to those younger than 30 (p <0.05)
  • 22. Interactions • Gender significantly associated with overall health score, with males scoring higher than females (P<0.001) • Age significantly associated with overall health score, with persons under 30 years of age scoring significantly higher than older persons (p<.001)
  • 23. Discussion • Significant positive change from baseline to post, & baseline to follow-up across all client outcomes • All 3 interventions accomplished goal of improving adherence to HIV medications • Two ASOs (A and B) reviewed individual regimens; B developed IMAPs (Individual Medication Adherence Plans); C’s intense training focused on adherence
  • 24. Discussion • Peers were key element in ASO B’s & C’s and a component of ASO A’s intervention – Rationale for peer support/peer-led interventions • Social support theory (positive relations; emotional & other support) • Experiential knowledge (practical experience) • Social learning theory (learning in social context & role modeling) – CDC’s compendium/adherence chapter includes two interventions with peer components
  • 25. Discussion • Knowledge of disease mgmt – Men scored higher than women; & Adherence – Men had higher adherence than women (stigma; child care; adverse drug effects reported) • Viral load – older had lower VL than younger (increased virologic suppression in older adults reported in literature) • Health score – Men scored higher than women
  • 26. Implications & Recommendations • Patient education, imparting knowledge on HIV management & importance of adherence; review of regimens; problem solving to reduce barriers • Strong, well supported peer components with structured training and incentives • Consider competing priorities for women, in addition to managing potential adverse drug effects and stigma
  • 27. Unpublished Manuscript and Acknowledgements Authors: • Myriam Hamdallah • Stacey Little • Derek Worley • Dave Nimmons • Caitlin Corcoran • Lisa Rizzano • Susan J. Rogers • Acknowledgements: The authors would like to thank Evany Turk and Warren Reich as well as other staff from the ConnectHIV grantee agencies and their clients for their contribution to the manuscript and to Atiya Ali Weiss at the Pfizer Foundation, David Holtgrave at Johns Hopkins University and to Sally Munemitsu and Janice Brown at TCC.
  • 28. Contact Information & Thank you! • Myriam Hamdallah • mhamdall@fhi360.org • 202 884 8858