Effectiveness of short message services and voice call interventions for antiretroviral therapy adherence and other outcomes: A systematic review and meta-analysis

Amankwaa, Isaac; Boateng, Daniel; Quansah, Dan Yedu; Akuoko, Cynthia Pomaa; Evans, Catrin

doi:10.1371/journal.pone.0204091

Cited by 85 publications

(74 citation statements)

References 50 publications

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“…It is important to note that our review excluded eHealth interventions that use only SMS or voice messaging. A recent systematic review of SMS and voice call interventions for HIV‐positive subjects found that a majority were for individuals in low‐ and middle‐income countries, contrasting the findings of this review . Limited access to new technologies in these settings has likely discouraged researchers from developing interventions that utilize these platforms.…”

Section: Resultscontrasting

confidence: 66%

Electronic and other new media technology interventions for HIV care and prevention: a systematic review

et al. 2020

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Introduction Electronic and other new media technologies (eHealth) can facilitate large‐scale dissemination of information and effective delivery of interventions for HIV care and prevention. There is a need to both monitor a rapidly changing pipeline of technology‐based care and prevention methods and to assess whether the interventions are appropriately diversified. We systematically review and critically appraise the research pipeline of eHealth interventions for HIV care and prevention, including published studies and other funded projects. Methods Two peer‐reviewed literature databases were searched for studies describing the development, trial testing or implementation of new technology interventions, published from September 2014 to September 2018. The National Institutes of Health database of grants was searched for interventions still in development. Interventions were included if eHealth was utilized and an outcome directly related to HIV treatment or prevention was targeted. We summarized each intervention including the stage of development, eHealth mode of delivery, target population and stage of the HIV care and prevention continua targeted. Results and discussion Of 2178 articles in the published literature, 113 were included with 84 unique interventions described. The interventions utilize a variety of eHealth technologies and target various points on the prevention and care continua, with greater emphasis on education, behaviour change and testing than linkage to medical care. There were a variety of interventions for HIV care support but none for PrEP care. Most interventions were developed for populations in high income countries. An additional 62 interventions with funding were found in the development pipeline, with greater emphasis on managing HIV and PrEP care. Conclusions Our systematic review found a robust collection of eHealth interventions in the published literature as well as unpublished interventions still in development. In the published literature, there is an imbalance of interventions favouring education and behaviour change over linkage to care, retention in care, and adherence, especially for PrEP. The next generation of interventions already in the pipeline might address these neglected areas of care and prevention, but the development process is slow. Researchers need new methods for more efficient and expedited intervention development so that current and future needs are addressed.

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Section: Resultscontrasting

confidence: 66%

Electronic and other new media technology interventions for HIV care and prevention: a systematic review

et al. 2020

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“…between individual studies based on the cutoff value [28]. Similar systematic reviews showed that text-messaging interventions were effective for self-management of diabetes, weight loss, smoking cessation, physical activities and medication adherence for antiretroviral therapy [58,59]. In the current review, the effect size was low as compared to evidences on ART.…”

Section: Discussionmentioning

confidence: 73%

Does Phone Messaging improves Tuberculosis Treatment Success? A Systematic review and Meta-analysis

Gashu

Gelaye

Mekonnen

et al. 2019

Preprint

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Background: Compliance to anti-TB treatment is crucial in achieving cure and avoiding the emergence of drug resistance. Electronic health (eHealth) interventions are included in the strategy to end the global Tuberculosis (TB) epidemic by 2035. Evidences showed that mobile messaging systems could improve patient adherence to clinic appointment for diagnosis and treatment. This review aimed to assess the effect of mobile-phone messaging on anti-TB treatment success. Methods: All randomized controlled trial (RCT) and quasi-experimental studies done prior to August 26, 2019 were included in the review. Studies were retrieved from PubMed, EMBASE, Cochrane and ScienceDirect databases including, grey and non-indexed literatures from Google and Google scholar. Quality of studies were independently assessed using Cochrane Risk of Bias Assessment Tool. A qualitative synthesis and quantitative pooled estimation were used to measure the effect of phone messaging on TB treatment success rate. PRISMA flow diagrams were used to summarize article selection process, see Additional file 1. Results: A total of 1237 articles were identified, with 14 meeting the eligibility criteria for qualitative synthesis. Eight studies with a total of 5680 TB patients (2733 in intervention and 2947 in control groups) were included in meta-analysis. The pooled effect of mobile-phone messaging revealed a small increase in treatment success compared to standard of care (RR 1.04, 95% CI 1.02 to 1.06), with low heterogeneity (I 2 =7%, p<0.0002). In the review, performance, detection and attrition biases were reported as major risk of biases. Conclusions: Mobile-phone messaging showed a modest effect in improving anti-TB treatment success; however, the quality of evidence was low. Further controlled studies are needed to increase the evidence-base on the role of mHealth interventions to improve TB care. Protocol registration number: CRD420170744339 http://www.crd.york.ac.uk/PROSPERO/display_record.php?ID=CRD42017074439 Key Words: Mobile phone, Treatment success, Text messaging, Tuberculosis

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“…The meta-analysis has shown that phone messaging group had a modest increment in treatment success rate compared to standard care (RR 1.04, 95% CI 1.02 to 1.06) with low heterogeneity (I 2 = 7%, p < 0.0002) between individual studies based on the cutoff value [28]. Similar systematic reviews showed that text-messaging interventions were effective for self-management of diabetes, weight loss, smoking cessation, physical activities and medication adherence for antiretroviral therapy [58,59]. In the current review, the effect size was low as compared to evidence on ART.…”

Section: Discussionmentioning

confidence: 99%

“…The subgroup Interventions An interactive (two way) text-based medication and appointment reminder, and educational messages using a total of 8 SMSs per 2 weeks for two months Outcomes After 8 weeks intervention, successful completion of treatment was 93% in intervention and 89% in control analysis has shown that two-way phone messaging interventions have a small effect on TB treatment success as compared with one-way messaging. Evidence also indicated that SMS interventions for ART that run two-way SMS communication were more acceptable than non-interactive reminders [59]. An interactive communication could provide an opportunity for patients to get their voices heard, and improve relationships and enhance engagement in their treatment.…”

Section: Discussionmentioning

confidence: 99%

Does phone messaging improves tuberculosis treatment success? A systematic review and meta-analysis

et al. 2020

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Background: Compliance to anti-TB treatment is crucial in achieving cure and avoiding the emergence of drug resistance. Electronic health (eHealth) interventions are included in the strategy to end the global Tuberculosis (TB) epidemic by 2035. Evidences showed that mobile messaging systems could improve patient adherence to clinic appointment for diagnosis and treatment. This review aimed to assess the effect of mobile-phone messaging on anti-TB treatment success. Methods: All randomized controlled trial (RCT) and quasi-experimental studies done prior to August 26, 2019 were included in the review. Studies were retrieved from PubMed, EMBASE, Cochrane and ScienceDirect databases including, grey and non-indexed literatures from Google and Google scholar. Quality of studies were independently assessed using Cochrane Risk of Bias Assessment Tool. A qualitative synthesis and quantitative pooled estimation were used to measure the effect of phone messaging on TB treatment success rate. PRISMA flow diagrams were used to summarize article selection process. Results: A total of 1237 articles were identified, with 14 meeting the eligibility criteria for qualitative synthesis. Eight studies with a total of 5680 TB patients (2733 in intervention and 2947 in control groups) were included in metaanalysis. The pooled effect of mobile-phone messaging revealed a small increase in treatment success compared to standard of care (RR 1.04, 95% CI 1.02 to 1.06), with low heterogeneity (I 2 = 7%, p < 0.0002). In the review, performance, detection and attrition biases were reported as major risk of biases. Conclusions: Mobile-phone messaging showed a modest effect in improving anti-TB treatment success; however, the quality of evidence was low. Further controlled studies are needed to increase the evidence-base on the role of mHealth interventions to improve TB care. Protocol registration number: CRD420170744339.

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Effectiveness of short message services and voice call interventions for antiretroviral therapy adherence and other outcomes: A systematic review and meta-analysis

Cited by 85 publications

References 50 publications

Electronic and other new media technology interventions for HIV care and prevention: a systematic review

Electronic and other new media technology interventions for HIV care and prevention: a systematic review

Does Phone Messaging improves Tuberculosis Treatment Success? A Systematic review and Meta-analysis

Does phone messaging improves tuberculosis treatment success? A systematic review and meta-analysis

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