Mobile phones to improve HIV treatment adherence

The Lancet ◽  
2010 ◽  
Vol 376 (9755) ◽  
pp. 1807-1808 ◽  
Author(s):  
Benjamin H Chi ◽  
Jeffrey SA Stringer
2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Shu Su ◽  
Shifu Li ◽  
Shunxiang Li ◽  
Liangmin Gao ◽  
Ying Cai ◽  
...  

Background.Criteria for antiretroviral treatment (ART) were adjusted to enable early HIV treatment for people living HIV/AIDS (PLHIV) in China in recent years. This study aims to determine how pretreatment waiting time after HIV confirmation affects subsequent adherence and outcomes over the course of treatment.Methods.A retrospective observational cohort study was conducted using treatment data from PLHIV in Yuxi, China, between January 2004 and December 2015.Results.Of 1,663 participants, 348 were delayed testers and mostly initiated treatment within 28 days. In comparison, 1,315 were nondelayed testers and the median pretreatment waiting time was 599 days, but it significantly declined over the study period. Pretreatment CD4 T-cell count drop (every 100 cells/mm3) contributed slowly in CD4 recovery after treatment initiation (8% less,P<0.01) and increased the risk of poor treatment adherence by 15% (ARR = 1.15, 1.08–1.25). Every 100 days of extensive pretreatment waiting time increased rates of loss to follow-up by 20% (ARR = 1.20, 1.07–1.29) and mortality rate by 11% (ARR = 1.11, 1.06–1.21), based on multivariable Cox regression.Conclusion.Long pretreatment waiting time in PLHIV can lead to higher risk of poor treatment adherence and HIV-related mortality. Current treatment guidelines should be updated to provide ART promptly.


2019 ◽  
Author(s):  
Elvis Asangbeng Tanue ◽  
Dickson Shey Nsagha ◽  
Nana Njamen Theophile ◽  
Jules Clement Nguedia Assob

BACKGROUND The World Health Organization has prioritized the use of new technologies to assist in health care delivery in resource-limited settings. Findings suggest that the use of SMS on mobile phones is an advantageous application in health care delivery, especially in communities with an increasing use of this device. OBJECTIVE The main aim of this trial is to assess whether sending weekly motivational text messages (SMS) through mobile phones versus no text messaging will improve retention in care and promote adherence to treatment and health outcomes among patients receiving HIV treatment in Fako Division of Cameroon. METHODS This is a multisite randomized controlled single-blinded trial. Computer-generated random block sizes shall be used to produce a randomization list. Participants shall be randomly allocated into the intervention and control groups determined by serially numbered sealed opaque envelopes. The 156 participants will either receive the mobile phone text message or usual standard of care. We hypothesize that sending weekly motivational SMS reminders will produce a change in behavior to enhance retention; treatment adherence; and, hence, health outcomes. Participants shall be evaluated and data collected at baseline and then at 2, 4, and 6 months after the launch of the intervention. Text messages shall be sent out, and the delivery will be recorded. Primary outcome measures are retention in care and adherence to treatment. Secondary outcomes are clinical (weight, body mass index), biological (virologic suppression, tuberculosis coinfection), quality of life, treatment discontinuation, and mortality. The analysis shall be by intention-to-treat. Analysis of covariates shall be performed to determine factors influencing outcomes. RESULTS Recruitment and random allocation are complete; 160 participants were allocated into 3 groups (52 in the single SMS, 55 in the double SMS, and 53 in the control). Data collection and analysis are ongoing, and statistical results will be available by the end of August 2019. CONCLUSIONS The interventions will contribute to an improved understanding of which intervention types can be feasible in improving retention in care and promoting adherence to antiretroviral therapy. CLINICALTRIAL Pan African Clinical Trial Registry in South Africa PACTR201802003035922; https://pactr.samrc.ac.za/TrialDisplay.aspx?TrialID=3035 INTERNATIONAL REGISTERED REPORT DERR1-10.2196/15680


2017 ◽  
Vol 21 (S2) ◽  
pp. 167-173 ◽  
Author(s):  
Li Li ◽  
Sitong Luo ◽  
Chiao-Wen Lan ◽  
Chunqing Lin ◽  
Le Anh Tuan ◽  
...  

2021 ◽  
Author(s):  
Stefanella Costa-Cordella ◽  
Alejandra Rossi ◽  
Aitana Grasso-Cladera ◽  
Javiera Duarte ◽  
Claudia P. Cortes

Introduction: The problem of suboptimal adherence to antiretroviral treatment (ART) can be overcome through multidisciplinary management that includes evidence-based psychosocial interventions. Existing reviews focus only on randomized controlled trials, overlooking valuable interventions whose evidence comes from different study designs. This review aimed to synthesize the current state of the art in psychological interventions for ART adherence, integrating studies with a variety of research designs.Methods: We conducted a systematic review following PRISMA guidelines. We searched five databases for articles reporting a psychosocial intervention to improve treatment adherence for people living with HIV. The quality of each study was analyzed, and the data summarized using a narrative synthesis method.Results and discussion: Twenty-six articles were identified for inclusion. Individual counselling was the most common intervention, followed by peer-support based interventions delivered virtually or in person. Most interventions mixed different strategies, combining technology with individual counselling and peer support. It is important to note that the quality of evidence was not dependent on the study design.Conclusion: While the evidence requires further advancement, the review provides insight into which psychosocial interventions are helpful in improving ART treatment adherence.


Author(s):  
Megan Mueller ◽  
Heidi Hutton ◽  
Larry Chang ◽  
Lisa Hightow-Weidman ◽  
Kelly Amy Knudtson ◽  
...  

Motivational interviewing (MI) was developed as a face-to-face intervention. However, increasing use of technology for mobile and electronic health approaches have adapted MI to be delivered via several technology-enabled platforms. Chapter 15 offers several examples of using MI with mobile platforms. Although these examples draw from a situated information, motivation, behavioral skills model–based approach, the use of texts, mobile phones, and computer programs to help identify potential positions on stages of change are highly generalizable. These three intervention packages detail the development and implement of technology enabled, MI-informed interventions for HIV treatment and prevention.


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