| Literature DB >> 28630651 |
Jessica E Haberer1,2, Lora Sabin3, K Rivet Amico4, Catherine Orrell5, Omar Galárraga6, Alexander C Tsai7, Rachel C Vreeman8,9, Ira Wilson6, Nadia A Sam-Agudu10,11, Terrence F Blaschke12, Bernard Vrijens13,14, Claude A Mellins15, Robert H Remien15, Sheri D Weiser16, Elizabeth Lowenthal17, Michael J Stirratt18, Papa Salif Sow19,20, Bruce Thomas21, Nathan Ford22, Edward Mills23, Richard Lester24, Jean B Nachega25, Bosco Mwebesa Bwana26, Fred Ssewamala27, Lawrence Mbuagbaw28, Paula Munderi29, Elvin Geng30, David R Bangsberg31.
Abstract
Introduction: Successful population-level antiretroviral therapy (ART) adherence will be necessary to realize both the clinical and prevention benefits of antiretroviral scale-up and, ultimately, the end of AIDS. Although many people living with HIV are adhering well, others struggle and most are likely to experience challenges in adherence that may threaten virologic suppression at some point during lifelong therapy. Despite the importance of ART adherence, supportive interventions have generally not been implemented at scale. The objective of this review is to summarize the recommendations of clinical, research, and public health experts for scalable ART adherence interventions in resource-limited settings.Entities:
Keywords: HIV; antiretroviral therapy adherence; interventions; resource-limited settings
Mesh:
Substances:
Year: 2017 PMID: 28630651 PMCID: PMC5467606 DOI: 10.7448/IAS.20.1.21371
Source DB: PubMed Journal: J Int AIDS Soc ISSN: 1758-2652 Impact factor: 5.396
Examples of ART adherence interventions with an impact on adherence and/or relevant disease markers for resource‐limited settings as discussed at the meeting and in the article*.
| Categories of intervention | |||||
|---|---|---|---|---|---|
| Interventions | Reference citations | Education and counselling | ICT‐enhanced solutions | Healthcare delivery restructuring | Economic incentives and social protection interventions |
| Cognitive behavioral therapy | [ | X | |||
| Motivational interviewing | [ | X | |||
| Treatment supporters/assigned community health workers | [ | X | X | ||
| Patient adherence clubs | [ | X | X | ||
| Peer supporter | [ | X | |||
| Peer‐delivered directly observed therapy | [ | X | |||
| Multimedia‐based adherence counselling | [ | X | X | ||
| SMS reminder messages | [ | X | |||
| SMS reminder messages with follow‐up or counselling | [ | X | X | ||
| EDM‐informed counselling | [ | X | X | ||
| Real‐time EDM with SMS reminders | [ | X | |||
| Electronic pharmacy refill tracking system | [ | X | |||
| Task shifting ART delivery | [ | X | |||
| Family‐level economic strengthening and savings program | [ | X | |||
| Cash and non‐cash financial incentives | [ | X | |||
| Nutrition education and/or food assistance | [ | X | X | ||
| Agricultural and microfinance intervention | [ | X | X | ||
*This article is not a systematic review; some evidence‐based interventions may not be shown in this table.
SMS = short message service, EDM = electronic dosing monitor.
Strengths, limitations, potential advances, and other considerations for adherence monitoring tools that may be used for targeted and tailored support.
| Monitoring tool | Strengths | Limitations | Potential advances/considerations |
|---|---|---|---|
|
| |||
| Self‐report |
Easy and relatively inexpensive to collect Reported missed doses are likely accurate [ Correlates with viral suppression in some contexts [ |
Generally overestimates adherence due to social desirability and recall bias [ Difficult to assess patterns of adherence Collected too infrequently to reliably detect incomplete adherence, non‐persistence, or risk of virologic failure [ |
SMS may decrease social desirability and recall biases, as has been shown with other forms of technology [ |
|
| |||
| Pill counts |
Easy and relatively inexpensive to collect Returned pills strongly suggest incomplete adherence |
Tends to overestimate adherence due to social desirability bias, i.e. “pill dumping” [ Provides only an average adherence and cannot assess patterns |
Unannounced pill counts are less subject to manipulation, but are resource intensive [ |
| Pharmacy refill |
Already collected by most clinics Reveals failures of ART initiation and persistence Correlates with clinical outcomes [ Useful for population trends and specific poor performing groups (e.g. a WHO “early warning indicator”) [ |
Provides maximal predicted average adherence and may miss incomplete adherence Many existing pharmacy systems are not optimized for tracking |
Could be made actionable for intervention deployment if made available to clinicians or community health workers |
| Electronic dose monitoring |
Only method to provide day‐to‐day patterns, which better predict the risk of virologic failure compared to the average adherence [ Allows for tailored counselling and intervention deployment, potentially in real time |
Currently expensive and resource‐intensive Technical challenges (e.g. battery failures) and device non‐use (e.g. “pocket dosing”) may limit accuracy |
Additional development needed to improve technology and reduce cost for use in clinical settings Could be used intermittently to reduce costs (e.g. during ART initiation or only for intensive support) |
| Drug detection |
Only measure to directly assess drug ingestion (e.g. plasma, hair, dried blood spots) [ |
Currently expensive and resource‐intensive Some methods reflect recent (e.g. plasma indicates ~3 half‐lives) rather than typical dosing Provides only average adherence Inter‐ and intra‐individual variability limit interpretation [ Information generally not available until after the patient encounter, making interventions challenging |
Additional research needed for use in clinical settings, including point‐of‐care methods and regional laboratory capacity |
| Viral loada |
Indicates sufficient adherence for clinical benefits for guiding targeted and tailored support [ |
Currently expensive and resource intensive, especially over a lifetime [ Information generally not available until after the patient encounter, making interventions challenging Incomplete adherence may not be detected until after drug resistance has developed, leading to a need for expensive, often unavailable second‐line ART Lack of drug resistance testing limits interpretation |
Low‐cost, point‐of‐care viral load monitoring would increase access, allowing for complementary role along with adherence monitoring and interventions |
aViral load is not a direct measure of adherence. Rather, it indicates sufficient adherence to achieve viral suppression, which signals success in achieving the clinical benefits of ART.
Comments are drawn from the literature as cited, as well as overall reviews [ , , ]
Figure 1Examples of funnel and menu approaches for targeted and tailored implementation of ART adherence interventions (other interventions could be substituted). With a funnel approach, all individuals would receive basic education and counselling. Based on one or more adherence measures (see Table 2), individuals identified with incomplete adherence would receive a standard intervention. The intensity of intervention would then increase for the likely decreasing number of individuals who continue to have adherence challenges. With the menu approach, a number of intervention options could be presented to individuals, allowing them to choose their intervention strategy. Menus could be tailored for specific populations (e.g., individuals with depression may opt for counselling, those with structural barriers may benefit from adherence clubs). A combined approach with basic and more intensive strategies offered as a menu at each level of the funnel could be considered.