» Articles » PMID: 27146828

Can Short-Term Use of Electronic Patient Adherence Monitoring Devices Improve Adherence in Patients Failing Second-Line Antiretroviral Therapy? Evidence from a Pilot Study in Johannesburg, South Africa

Overview
Journal AIDS Behav
Date 2016 May 6
PMID 27146828
Citations 15
Authors
Affiliations
Soon will be listed here.
Abstract

High levels of adherence are required to achieve the full benefit of ART. We assess the effectiveness of electronic adherence monitoring devices among patients failing second-line ART, as measured by viral load suppression. Cohort study of Wisepill™ real-time adherence monitoring in addition to intensified adherence counselling over 3 months in adults with a viral load ≥400 copies/ml on second-line ART in Johannesburg, South Africa between August 2013 and January 2014. Patients were sent SMS reminders upon missing a scheduled dose. We compared outcomes to earlier historical cohorts receiving either intensified adherence counselling or adherence counselling alone. Overall, 63 % of the participants (31/49) took >80 % of their prescribed medication; this dropped from 76 to 53 and 49 % at 1, 2 and 3 months post-enrolment respectively. Compared to those with good adherence (>80 %), participants with poor adherence (≤80 %) had a higher risk for a subsequently elevated viral load ≥400 copies/ml (relative risk (RR) 1.47 95 % CI 0.97-2.23). Participants found the intervention "acceptable and useful" but by 6 months after eligibility they were only slightly more likely to be alive, in care and virally suppressed compared to those who received intensified adherence counselling (44.9 vs. 38.5 %; RR 1.19; 95 % CI 0.85-1.67) or adherence counselling alone (44.9 vs. 40.9 %; RR 1.12; 95 % CI 0.81-1.56). In patients with an elevated viral load on second-line ART electronic adherence monitoring was associated with a modest, but not significant, improvement in viral suppression.

Citing Articles

The Effect of Real-Time Medication Monitoring-Based Digital Adherence Tools on Adherence to Antiretroviral Therapy and Viral Suppression in People Living With HIV: A Systematic Literature Review and Meta-Analysis.

Msosa T, Swai I, Aarnoutse R, Wit T, Ngowi K, Msefula C J Acquir Immune Defic Syndr. 2024; 96(5):411-420.

PMID: 38985562 PMC: 11236270. DOI: 10.1097/QAI.0000000000003449.


Intervention strategies to improve adherence to treatment for selected chronic conditions in sub-Saharan Africa: a systematic review.

Gumede S, de Wit J, Venter W, Wensing A, Lalla-Edward S J Int AIDS Soc. 2024; 27(6):e26266.

PMID: 38924296 PMC: 11197966. DOI: 10.1002/jia2.26266.


Developing contents for a digital adherence tool: A formative mixed-methods study among children and adolescents living with HIV in Tanzania.

Swai I, Bergen L, Mtenga A, Maro R, Ngowi K, Mtesha B PLOS Digit Health. 2023; 2(10):e0000232.

PMID: 37851616 PMC: 10584100. DOI: 10.1371/journal.pdig.0000232.


A Systematic Review and Meta-Analysis of Interventions to Promote Adjuvant Endocrine Therapy Adherence Among Breast Cancer Survivors.

Bright E, Finkelstein L, Nealis M, Genung S, Wrigley J, Gu H J Clin Oncol. 2023; 41(28):4548-4561.

PMID: 37531593 PMC: 10553065. DOI: 10.1200/JCO.23.00697.


Predictors of Treatment Adherence and Virological Failure Among People Living with HIV Receiving Antiretroviral Therapy in a South African Rural Community: A Sub-study of the ITREMA Randomised Clinical Trial.

Gumede S, Wensing A, Lalla-Edward S, de Wit J, Francois Venter W, Tempelman H AIDS Behav. 2023; 27(12):3863-3885.

PMID: 37382825 PMC: 10598166. DOI: 10.1007/s10461-023-04103-2.


References
1.
Viswanathan S, Detels R, Mehta S, Macatangay B, Kirk G, Jacobson L . Level of adherence and HIV RNA suppression in the current era of highly active antiretroviral therapy (HAART). AIDS Behav. 2014; 19(4):601-11. PMC: 4393774. DOI: 10.1007/s10461-014-0927-4. View

2.
Shuter J, Sarlo J, Kanmaz T, Rode R, Zingman B . HIV-infected patients receiving lopinavir/ritonavir-based antiretroviral therapy achieve high rates of virologic suppression despite adherence rates less than 95%. J Acquir Immune Defic Syndr. 2007; 45(1):4-8. DOI: 10.1097/QAI.0b013e318050d8c2. View

3.
Fox M, Van Cutsem G, Giddy J, Maskew M, Keiser O, Prozesky H . Rates and predictors of failure of first-line antiretroviral therapy and switch to second-line ART in South Africa. J Acquir Immune Defic Syndr. 2012; 60(4):428-37. PMC: 3392418. DOI: 10.1097/QAI.0b013e3182557785. View

4.
Orrell C, Cohen K, Mauff K, Bangsberg D, Maartens G, Wood R . A Randomized Controlled Trial of Real-Time Electronic Adherence Monitoring With Text Message Dosing Reminders in People Starting First-Line Antiretroviral Therapy. J Acquir Immune Defic Syndr. 2015; 70(5):495-502. DOI: 10.1097/QAI.0000000000000770. View

5.
Fox M, Maskew M, Macphail A, Long L, Brennan A, Westreich D . Cohort profile: the Themba Lethu Clinical Cohort, Johannesburg, South Africa. Int J Epidemiol. 2012; 42(2):430-9. PMC: 3619949. DOI: 10.1093/ije/dys029. View