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Hannelie Meyer JC

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Hannelie Meyer (JC) Department of Pharmacy. University of Limpopo, Medunsa Campus ... Gill, C.J., Hamer, D.H., Simon, J.L., Thea, D.M. & Sabin, L.L. 2005. ... – PowerPoint PPT presentation

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Title: Hannelie Meyer JC


1
AdherenceHow good is adherence?How do we
know?How can we promote proper adherence?
  • Hannelie Meyer (JC)
  • Department of Pharmacy
  • University of Limpopo, Medunsa Campus
  • email hannelie.meyer_at_gmail.com or
    hmeyer_at_ul.ac.za
  • Access to Health Care in Africa
  • 16 18 April 2008
  • Cape Town, South Africa

2
Adherence
WHO (2003) defined adherence as
the extent to which a persons behaviour
taking medication, following a diet, and/or
executing lifestyle changes, corresponds with
agreed recommendations from a health care provider
  • Correct dose, frequency dose interval
  • Care plan
  • Dietary restrictions
  • Lifestyle modification
  • Avoid risky behaviour
  • Appointments
  • Repeat prescriptions
  • Education counselling
  • Home visits outreach

3
Adherence
  • What do we know about adherence rates?
  • Chronic illnesses ART
  • Developing vs. developed countries
  • Measurement and comparison of adherence rates

What is the single optimal method to measure
adherence?
4
Other chronic medication 50 (WHO, 2003)
ART Higher than other chronic illnesses 70
Adherence to medication
5
Are adherence rates the same
in developing and developed countries?
  • Adherence in developing countries predicted to be
    a problem
  • Research has shown adequate adherence
  • Resource-poor settings Resource-rich settings
  • Meta-analysis
  • 27 sub-Saharan African studies 77 (n12 116)
  • 31 North American studies 55 (n17
    573) (Mills et al., 2006)
  • ?? Signs of possible decline in adherence in
    Africa (Bangsberg et al., 2006 Gill et
    al., 2005 Ware et al., 2006)

6
Adherence ratesWhy is it difficult to measure
and compare adherence rates?
  • Different thresholds and definitions for
  • Optimal adherence e.g. 100, gt95, gt90, gt80
  • Treatment defaulting e.g. 14 different
    definitions in use at 20 facilities in 5 East
    African countries (Chalker et al., 2008)
  • Adherence as a continuous variable (mean/median
    ) or dichotomous variable (100 vs. lt100)
  • Cross-sectional (mostly) or longitudinal measures
  • Different recall periods (3-day 7-day 30-day)

7
  • Different methods of measurement - ?comparable

(Oyugi et al., 2004)
(Giordiano et al., 2004)
Variation between different methods
  • Different types of adherence measured

Cannot be represented by a single average number
(Deschamps et al., 2004)
8
  • Adherence is a dynamic behaviour it varies over
    time and among individuals
  • Non-adherence (lt100) measured with 3-day
    self-report (n435)
  • Cross-sectional non-adherence NOT gt35
  • Non-adherence across three interviews 53.6

P lt 0.05
Need for multiple, periodic measures
(Tesoriero et al., 2003)
9
Adherence measuresIndirect measures
  • Provider estimates not accurate
  • Self-report (brief or detailed)
  • (3-day 7-day)
  • Visual analogue scale (VAS)
  • Pill counts pill dumping time consuming
  • Medication events monitoring system (MEMS)
    objective limitations expensive
  • Pharmacy records long-term monitoring
  • Treatment response (biochemical and clinical)
    not adequately informative expensive

Easy quick biased inflated
10
Adherence measuresDirect measures
  • Modified directly observed therapy (DOT)
  • Directly administered antiretroviral therapy
    (DAART)
  • Most accurate
  • ART complex, compared to TB treatment
  • Most expensive
  • ? Potential stigmatisation - might hinder access
    to treatment

Each adherence measure is subject to error
11
Adherence measuresComposite measures
Combine multiple measures
  • Weigh options
  • Greater precision of measurement
  • Reduce error associated with single measure
  • How to combine?
  • Feasible in clinical practice?

Add qualitative methods in-depth information
  • Beliefs about medication
  • Reasons for non-adherence
  • Problems with access
  • Stigma
  • Attitudes about health, wellness life

Need standardisation
(Chalker et al., 2008)
12
Promoting adherence
What is the best tool or intervention to enhance
adherence? regardless of the person using the
tool or the setting in which it is used
13
Dimensions of adherence
Complex health-related behaviour
More than simply remembering
Health system/ HCT-factors
Social/ economic factors
Condition-related factors
Therapy-related factors
Patient-driven Patients solely responsible
Patient-related factors
(WHO, 2003)
14
Published reviews of adherence interventions
  • Patient Support And Education for Promoting
    Adherence to Highly Active Antiretroviral Therapy
    for HIV/AIDS
  • (Rueda, S., Park-Wyllie, L.Y., Bayoumi, A.M.,
    Tynan, A.M., Antoniou, T.A., Rourke, S.B.
    Glazier, R.H. Cochrane Database Syst Rev 2006,
    3CD001442)
  • Efficacy of Antiretroviral Therapy Adherence
    Interventions A Research Synthesis of Trials,
    1996 to 2004 Cross-sectional or longitudinal
    measures
  • (Amico, K.R., Harman, J.J. Johnson, B.T. JAIDS
    2006, 41(3)285-297)
  • Efficacy of Interventions in Improving Highly
    Active Antiretroviral Therapy Adherence and HIV-1
    RNA Viral Load A Meta-Analytic Review of
    Randomized Controlled Trials
  • (Simoni, J.M., Pearson, C.R., Pantalone, M.S.
    Crepaz, N. JAIDS 2006, 43(Suppl.
    1)S23-SS34)

15
Published reviewsSummary findings
  • Behavioural interventions had positive effect on
    adherence and viral load (Simoni et al., 2006)
  • Interventions demonstrated beneficial effects
  • targeting practical medication management skills
    vs. cognitive behavioural or motivational skills
  • administered to individuals vs. groups
  • delivered over at least 12 week period (Rueda et
    al., 2006)
  • Patients reporting low levels of adherence at
    baseline benefited the most from interventions
    (Amico et al., 2006)
  • Marginalised populations e.g. women or patients
    with past history of alcoholism - not successful
    at improving adherence
  • may suggest a different approach (Rueda et al.,
    2006)

16
Targeting adherence interventionsInformation-moti
vation-behavioral (IMB) skills model of adherence
X
X
(Adapted from Fisher et al., 2006)
Concept of health changed
  • Theoretical models from developed world - not
    directly transferable to socio-cultural diverse
    settings
  • Need to be adapted to fit the dynamics of
    adherence within the context where they will
    be applied

17
Example from the South African context
Denial Speed up recoveryRelieve adverse
effectsWork, look after family Minimise
sufferingTake revenge
(Meyer, 2008)
18
Example from the South African context (ctd)
Health system overload Distance time for
repeats Quality counselling? Continued free ART?
  • Not in IMB Model
  • Culture
  • Social structural barriers

Disrupted lifestyle Struggle for incomeMigrant
work Disrupted families Stressful daily
life Health problems, deaths
Traditional beliefs Women blamed Family
continuity Makgome, ? stigma Cleansing (trad.
med)
(Meyer, 2008)
19
Resource-limited settings
Can adherence measurements methods or strategies
to change behaviour be transferred from
resource-rich settings to resource-limited
settings?
  • Tailor methods and materials to
  • different cultural contexts
  • environment where intervention be employed
  • varying patient populations
  • clinical structures and healthcare providers
  • disease maturity

20
Any gold standard for adherence assessment and
intervention strategies is elusive
and one size does not fit all
Chesney, M.A. 2006. The Elusive Gold Standard
Future Perspectives for HIV Adherence Assessment
and Intervention. JAIDS, 43(Suppl. 1)S149-S155
21
AcknowledgementsExample from the South African
context
  • Monika Zweygarth for her contribution as co-coder
    and with the interpretation of the data
  • Dr Beverley Summers and Prof Rob Summers for
    their advice as supervisors of the study

22
References (1)
  • Amico, K.R., Harman, J.J. Johnson, B.T. 2006.
    Efficacy of Antiretroviral Therapy Adherence
    Interventions A Research Synthesis of Trials,
    1996 to 2004 Cross-sectional or longitudinal
    measures. JAIDS, 41(3)285-297.
  • Bangsberg, D.R., Ware, N. Simoni, J.M. 2006.
    Adherence Without Access to Antiretroviral
    Therapy in Sub-Saharan Africa? Correspondence.
    AIDS, 20(1)140-141.
  • Berg, K.M Arnsten, J.H. 2006. Practical and
    Conceptual Challenges in Measuring Antiretroviral
    Adherence. JAIDS, 43 (Suppl. 1)S79S87.
  • Chalker, J.C., Andualem, T., Minizi, O.,
    Ntaganira, J., Ojoo, A., Waako, P. Ross-Degnan,
    D. 2008. Monitoring Adherence and Defaulting for
    Antiretroviral Therapy in Five east African
    Countries An Urgent Need for Standards. 3rd
    International Conference on HIV Treatment
    Adherence, Oral Abstract 21
  • Chesney, M.A. 2006. The Elusive Gold Standard
    Future Perspectives for HIV Adherence Assessment
    and Intervention. JAIDS, 43(Suppl. 1)S149-S155.
  • Deschamps, A.E., Graeve, V.D., Van Wijngaerden,
    E., De Saar, V., Vandamme, A., Van Vaerenbergh,
    K., Ceunen, H., Bobbaers, H., Peetermans, W.E.,
    De Vleeschouwer, P.J. De Geest, S. 2004.
    Prevalence and Correlates of Nonadherence to
    Antiretroviral Therapy in a Population of HIV
    Patients Using Medication Event Monitoring
    System. AIDS Patient Care and STDs,
    18(11)644-657.
  • Fisher, D., Fisher, W., Amico, R. Harman, J.
    2006. An Information-motivation-behavioural
    Skills Model of Adherence to Antiretroviral
    Therapy. Health Psychology, 25(4)462-473.
  • Gill, C.J., Hamer, D.H., Simon, J.L., Thea, D.M.
    Sabin, L.L. 2005. No Room for Complacency About
    Adherence to Antiretroviral Therapy in
    Sub-Saharan Africa. AIDS, 1912431249.
  • Giordano, T.,Guzman, D., Clark, R., Charlebois,
    E. Bangsberg, D. 2004. Measuring Adherence to
    Antiretroviral Therapy in a Diverse Population
    Using a Visual Analogue Scale. HIV Clinical
    Trials, 5 (2) 74-79.
  • Hardon, A., Davey, S., Gerrits, T., Hodgkin, C.,
    Irunde, H., Kgatlwane, J., Kinsman, J.,
    Nakiyemba, A. Laing, R. 2006. From Access to
    Adherence The Challenges of Antiretroviral
    Treatment. Studies from Botswana, Tanzania and
    Uganda. (WC 503.2). Geneva, Switzerland WHO
    Press.
  • Lazo, M., Gange,S.J., Wilson, T.E., Anastos, A.,
    Ostrow, D.G., Witt, M.D. Jacobson, L.P. 2007.
    Patterns and Predictors of Changes to Highly
    Active Antiretroviral Therapy Longitudinal Study
    of Men and Women. Clin Infect Dis, 451377-85

23
References (2)
  • Meyer, J.C. 2008. Determinants of adherence to
    antiretrovirals in selected treatment centres in
    South Africa. Unpublished data PhD Thesis.
    Pretoria University of Limpopo, Medunsa Campus.
  • Mills, E.J., Nachega, J.B., Buchan, I., Orbinski,
    J., Attaran, A., Singh, S., Rachlis, B., Wu, P.,
    Cooper, C., Thabane, L., Wilson, K., Guyatt, G.
    Bangsberg, D.R. 2006. Adherence to Antiretroviral
    Therapy in Sub-Saharan Africa and North America
    A Meta-analysis. JAMA, 296(6)679-690.
  • Murphy, D.A., Belzer, M., Durako, S.J., Sarr, M.,
    Wilson, C.M., Muenz, L.R. for the Adolescent
    Medicine HIV/AIDS Research Network. Longitudinal
    Antiretroviral Adherence Among Adolescents
    Infected With Human Immunodeficiency Virus. Arch
    Pediatr Adolesc Med,159764-770
  • Orrell, C., Bangsberg, D.R., Badri, M. Wood, R.
    2003. Adherence is Not a Barrier to Successful
    Antiretroviral Therapy in South Africa. AIDS,
    17(9)1369-1376.
  • Oyugi, J.H., Byakika-Tusiime, J., Charlebois,
    E.D., Kityo, C., Mugerwa, R., Mugyenyi, P.
    Bangsberg, D.R. 2004. Multiple Validated Measures
    of Adherence Indicate High Levels of Adherence to
    Generic HIV Antiretroviral Therapy in a
    Resource-Limited setting. J Acquir Immune Defic
    Syndr, 361100-1102.
  • Rueda, S., Park-Wyllie, L.Y., Bayoumi, A.M.,
    Tynan, A.M., Antoniou, T.A., Rourke, S.B.
    Glazier, R.H. 2006. Patient Support And Education
    for Promoting Adherence to Highly Active
    Antiretroviral Therapy for HIV/AIDS. Cochrane
    Database Syst Rev 2006, 3CD001442.
  • Sankar, A., Golin, C., Simoni, J.M., Luborsky, M.
    Pearson, C. 2006. How Qualitative Methods
    Contribute to Understanding Combination
    Antiretroviral Therapy Adherence. JAIDS,
    43(Suppl. 1)S54-S68.
  • Simoni, J.M., Pearson, C.R., Pantalone, M.S.
    Crepaz, N. 2006. Efficacy of Interventions in
    Improving Highly Active Antiretroviral Therapy
    Adherence and HIV-1 RNA Viral Load A
    Meta-Analytic Review of Randomized Controlled
    Trials. JAIDS, 43(Suppl. 1)S23-SS34.
  • Tesoriero, J., French, T., Weiss, L., Waters, M.,
    Finkelstein, R. Agins, B. 2003. Stability of
    Adherence to Highly Active Antiretroviral Therapy
    Over Time Among Clients Enrolled in the Treatment
    Adherence Demonstration Project. J Acquir Immune
    Defic Syndr, 33(4)484-493.
  • Ware, N.C., Wyatt, M.A. Bangsberg, D.R. 2006.
    Examining Theoretic Models of Adherence for
    Validity in Resource-Limited Settings A
    Heuristic Approach. J Acquir Immune Defic Syndr,
    43S18S22.
  • World Health Organization (WHO). 2003a. Adherence
    to Long-term Therapies Evidence for Action.
    Geneva, Switzerland WHO Press.

24
Example from the South African context (complete
model)
(Meyer, 2008)
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