Protocol for a Randomized Controlled Trial Evaluating Mobile Text Messaging to Promote Retention and Adherence to Antiretroviral Therapy for People Living With HIV in Burkina Faso

Targeted client communication via mobile devices for improving sexual and reproductive health

BACKGROUND

The burden of poor sexual and reproductive health (SRH) worldwide is substantial, disproportionately affecting those living in low- and middle-income countries. Targeted client communication (TCC) delivered via mobile devices (MD) (TCCMD) may improve the health behaviours and service use important for sexual and reproductive health.

OBJECTIVES

To assess the effects of TCC via MD on adolescents' knowledge, and on adolescents' and adults' sexual and reproductive health behaviour, health service use, and health and well-being.

SEARCH METHODS

In July/August 2017, we searched five databases including The Cochrane Central Register of Controlled Trials, MEDLINE and Embase. We also searched two trial registries. A search update was carried out in July 2019 and potentially relevant studies are awaiting classification.

SELECTION CRITERIA

We included randomised controlled trials of TCC via MD to improve sexual and reproductive health behaviour, health service use, and health and well-being. Eligible comparators were standard care or no intervention, non-digital TCC, and digital non-targeted communication.

DATA COLLECTION AND ANALYSIS

We used standard methodological procedures recommended by Cochrane, although data extraction and risk of bias assessments were carried out by one person only and cross-checked by a second. We have presented results separately for adult and adolescent populations, and for each comparison.

MAIN RESULTS

We included 40 trials (27 among adult populations and 13 among adolescent populations) with a total of 26,854 participants. All but one of the trials among adolescent populations were conducted in high-income countries. Trials among adult populations were conducted in a range of high- to low-income countries. Among adolescents, nine interventions were delivered solely through text messages; four interventions tested text messages in combination with another communication channel, such as emails, multimedia messaging, or voice calls; and one intervention used voice calls alone. Among adults, 20 interventions were delivered through text messages; two through a combination of text messages and voice calls; and the rest were delivered through other channels such as voice calls, multimedia messaging, interactive voice response, and instant messaging services. Adolescent populations TCCMD versus standard care TCCMD may increase sexual health knowledge (risk ratio (RR) 1.45, 95% confidence interval (CI) 1.23 to 1.71; low-certainty evidence). TCCMD may modestly increase contraception use (RR 1.19, 95% CI 1.05 to 1.35; low-certainty evidence). The effects on condom use, antiretroviral therapy (ART) adherence, and health service use are uncertain due to very low-certainty evidence. The effects on abortion and STI rates are unknown due to lack of studies. TCCMD versus non-digital TCC (e.g. pamphlets) The effects of TCCMD on behaviour (contraception use, condom use, ART adherence), service use, health and wellbeing (abortion and STI rates) are unknown due to lack of studies for this comparison. TCCMD versus digital non-targeted communication The effects on sexual health knowledge, condom and contraceptive use are uncertain due to very low-certainty evidence. Interventions may increase health service use (attendance for STI/HIV testing, RR 1.61, 95% CI 1.08 to 2.40; low-certainty evidence). The intervention may be beneficial for reducing STI rates (RR 0.61, 95% CI 0.28 to 1.33; low-certainty evidence), but the confidence interval encompasses both benefit and harm. The effects on abortion rates and on ART adherence are unknown due to lack of studies. We are uncertain whether TCCMD results in unintended consequences due to lack of evidence. Adult populations TCCMD versus standard care For health behaviours, TCCMD may modestly increase contraception use at 12 months (RR 1.17, 95% CI 0.92 to 1.48) and may reduce repeat abortion (RR 0.68 95% CI 0.28 to 1.66), though the confidence interval encompasses benefit and harm (low-certainty evidence). The effect on condom use is uncertain. No study measured the impact of this intervention on STI rates. TCCMD may modestly increase ART adherence (RR 1.13, 95% CI 0.97 to 1.32, low-certainty evidence, and standardised mean difference 0.44, 95% CI -0.14 to 1.02, low-certainty evidence). TCCMD may modestly increase health service utilisation (RR 1.17, 95% CI 1.04 to 1.31; low-certainty evidence), but there was substantial heterogeneity (I² = 85%), with mixed results according to type of service utilisation (i.e. attendance for STI testing; HIV treatment; voluntary male medical circumcision (VMMC); VMMC post-operative visit; post-abortion care). For health and well-being outcomes, there may be little or no effect on CD4 count (mean difference 13.99, 95% CI -8.65 to 36.63; low-certainty evidence) and a slight reduction in virological failure (RR 0.86, 95% CI 0.73 to 1.01; low-certainty evidence). TCCMD versus non-digital TCC No studies reported STI rates, condom use, ART adherence, abortion rates, or contraceptive use as outcomes for this comparison. TCCMD may modestly increase in service attendance overall (RR: 1.12, 95% CI 0.92-1.35, low certainty evidence), however the confidence interval encompasses benefit and harm. TCCMD versus digital non-targeted communication No studies reported STI rates, condom use, ART adherence, abortion rates, or contraceptive use as outcomes for this comparison. TCCMD may increase service utilisation overall (RR: 1.71, 95% CI 0.67-4.38, low certainty evidence), however the confidence interval encompasses benefit and harm and there was considerable heterogeneity (I² = 72%), with mixed results according to type of service utilisation (STI/HIV testing, and VMMC). Few studies reported on unintended consequences. One study reported that a participant withdrew from the intervention as they felt it compromised their undisclosed HIV status.

AUTHORS' CONCLUSIONS

TCCMD may improve some outcomes but the evidence is of low certainty. The effect on most outcomes is uncertain/unknown due to very low certainty evidence or lack of evidence. High quality, adequately powered trials and cost effectiveness analyses are required to reliably ascertain the effects and relative benefits of TCC delivered by mobile devices. Given the sensitivity and stigma associated with sexual and reproductive health future studies should measure unintended consequences, such as partner violence or breaches of confidentiality.

"When I receive the message, it is a sign of love": symbolic connotations of SMS messages for people living with HIV in Burkina Faso

Mobile health (mHealth) has gained considerable interest recently due to its potential to improve health outcomes in developing countries with high outreach yet low costs. Several studies have explored the use of short message service (SMS) reminders to improve antiretroviral (ARV) retention and adherence, with mixed results. The majority of these studies has a quantitative nature and employs randomized designs, which do not provide further qualitative insights about other possible impacts of the messages. Based on the qualitative assessment of an SMS intervention in Burkina Faso, which complemented a (quantitative) Randomized Controlled Trial (RCT), we show that beyond the functional role of improving ARV retention and adherence, SMS messages can also play important symbolic roles in offering psychosocial support to people living with HIV (PLHIV) and improving their perception of life. Concomitantly, we show that sufficient (ICT) literacy skills cannot be taken for granted in resource-poor settings. Yet, regardless of (ICT) literacy skills, the symbolism of care was perceived. Furthermore, we highlight the importance of complementing quantitative evidence of mHealth interventions with qualitative assessments.

Exploring and Prioritization of Mobile-Based Self-Management Strategies for HIV Care

OBJECTIVE

Appropriate mobile-based self-management strategies can be as new approaches to decelerate the HIV infection progression and improve the quality of life. This study aims at (i) identifying in the literature mobile-based self-management strategies for HIV care and (ii) prioritizing those from the point of view of infectious diseases specialists. This study provides some clues to design useful mobile-based self-management tools for HIV patients, from the point of view of practitioners.

METHODS

This mixed methods study was done in two main phases. In the first phase, a review was conducted in: PubMed, Web of Science, Science Direct, Scopus, and Ovid. In this manner, related studies published between 2010 and 2017 and in the English language were reviewed. In the second phase, identified mobile-based self-management strategies were scored and prioritized by 23 participants. Frequency distribution and mean reports were calculated using SPSS statistical software.

RESULTS

By detailed reviewing of 24 related articles, the HIV mobile-based self-management strategies were identified in 47 categories and subcategories. According to the findings, "enhance the quality of life" was the main self-management strategy addressed by reviewed studies. However, "antiretroviral therapy and medication adherence" was reported at a higher rate to be a more helpful strategy than "enhance the quality of life".

CONCLUSION

In this study, helpful HIV mobile-based self-management strategies were identified that can be used to guide self-management interventions which have the potential to improve the healthcare services for people living with HIV.

A Systematic Review of Mobile Phone Interventions (SMS/IVR/Calls) to Improve Adherence and Retention to Antiretroviral Treatment in Low-and Middle-Income Countries

The use of mobile health technologies (mHealth) to ameliorate HIV care has considerably risen in low- and middle-income countries (LMICs) since 2010. Yet, the discrepancies in the results of accompanying studies warrant an updated and systematic consolidation of all available evidence. We report a systematic review of studies testing whether text/image messages, interactive voice response reminders, or calls promote adherence and retention to antiretroviral therapy (ART) in LMICs. We systematically compiled studies published in English until June 2018 from PubMed/Medline, Web of Science, WHO database, ProQuest Dissertations and Theses, and manual search. We used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2009 and used frequency analysis to assess reported findings. In total, we compiled 35 published articles: 27 completed studies and 8 protocols. Among the main 27 studies, 17 examine adherence, 5 retention, and 5 both measures. Results indicate that 56% report positive and statistically significantly impacts of mHealth on primary outcomes, the remaining 44% report insignificant results. While 41% of studies found a positive and significant effect for adherence, only 12% improved retention. The evidence shows ambiguous results (with high variability) about the effectiveness of mobile phone-assisted mHealth interventions to boost adherence and retention to ART. The literature also points to short follow-up periods, small samples, and limited geographical coverage. Hence, future research should focus on evaluating longer interventions with more patients spread across wider areas to address whether mHealth can be effectively used in LMICs.

Adaptation and biomedical transition of people living with HIV to antiretroviral treatment in Burkina Faso

This article examines the adaptation and biomedical transition of people living with HIV (PLHIV) to antiretroviral treatment (ART) in Burkina Faso. The study employs a representative sample of 3625 randomly selected patients. Subjective and objective measures of health and their predictors are compared for short-term (≤24 months) versus longer-term ART adherents (>24 months) in a cohort study. Subjective health is measured as Likert scale self-rating and objective health as CD4 count. The results show that subjective and objective health capture different aspects of adaptation to ART: 90% of the short-term and 94% of the longer-term patients give a subjective health rating of at least good, while the objective measure of good health is higher among longer-term (42%) compared to short-term patients (27%). For subjective health, short-lived pleasures are predictors among short-term adherents while economic characteristics are determinants among longer-term patients. Meanwhile, objective health is associated with factors that determine ART adherence (i.e. participating in self-help groups). To achieve a wholistic resilience management that caters to the needs of PLHIV, we need to acknowledge adaptation to the disease and to ART and design health programs, in particular in developing countries, away from one-size-fits-all solutions to stage-of-disease specific support.

The Florida Mobile Health Adherence Project for People Living With HIV (FL-mAPP): Longitudinal Assessment of Feasibility, Acceptability, and Clinical Outcomes

Background

For people living with HIV (PLWH), antiretroviral therapy (ART) adherence is crucial to attain better health outcomes. Although research has leveraged consumer health information technologies to enhance ART adherence, no study has evaluated feasibility and clinical outcomes associated with the usage of a commercially available, regularly updated mobile health (mHealth) app for improving ART adherence among PLWH.

Objective

This study aimed to assess the feasibility, acceptability, and clinical outcomes of Care4Today, an existing, free, biprogrammatic mHealth app for improving ART adherence among PLWH.

Methods

The Florida mHealth Application Adherence Project (FL-mAPP) was a 90-day longitudinal pilot study conducted in 3 public HIV clinics in Florida, United States. After obtaining informed consent, 132 participants completed a survey and then were given the option to try an existing mHealth app to help with ART adherence. Of these, 33.3% (44/132) declined, 31.1% (41/132) agreed but never used the app, and 35.6% (47/132) used the app. All were asked to complete follow-up surveys at 30 days and 90 days after enrollment. Usage data were used to assess feasibility. Clinical outcomes of self-reported ART adherence and chart-obtained HIV viral load and CD4+ T-cell counts were compared among those who used the platform (users) versus those who did not (nonusers). Participants and HIV care providers also provided responses to open-ended questions about what they liked and did not like about the app; comments were analyzed using thematic analysis.

Results

Of 132 participants, 47 (35.6%) and 85 (64.4%) were categorized as users and nonusers, respectively. Among users, a Kaplan-Meier plot showed that 25 persons (53%) continued using the app after the 90-day follow-up. At 30-day follow-up, 13 (81.3%) of those who used the mHealth app reported ≥95% ART adherence, compared with 17 (58.6%) nonusers (P=.12). Overall, 39 (82%) users liked or somewhat liked using the platform. Participants’ favorite features were medication reminders, ability to create custom reminders, and adherence reports.

Conclusions

This longitudinal study found that a commercially available medication adherence mHealth app was a feasible and acceptable intervention to improve ART adherence among PLWH and engaged in clinical care across 3 public HIV clinics in the state of Florida. Overall, participants liked the Care4Today app and thought the medication reminders were their favorite feature. Generally, self-reports of ART adherence were better among users than nonusers, both at 30- and 90-day follow-ups. Further clinical research needs to address user fatigue for improving app usage.

One-way SMS and healthcare outcomes in Africa: Systematic review of randomised trials with meta-analysis

Background

The impact of one-way SMS on health outcomes in Africa is unclear. We aimed to conduct a systematic review of one-way SMS randomised trials in Africa and a meta-analysis of their effect on healthcare appointments attendance and medicine adherence.

Methods

PubMed, Embase, CENTRAL, The Global Health Library, ClinicalTrials.gov, ICTRP, and PACTR were searched for published and unpublished trials in Africa without language restriction (up to April 2018). Trials reporting effect estimates on healthcare appointment attendance and medicine adherence were assessed for risk of bias and included in meta-analyses using random-effects models. Other outcomes were reported descriptively. The protocol is registered in PROSPERO, ID:CRD42018081062.

Results

We included 38 one-way SMS trials conducted in Africa within a broad range of clinical conditions. Eighteen trials were included in the meta-analyses, and four were assessed as overall low risk of bias. One-way SMS improved appointment attendance, OR:2·03; 95% CI:1·40–2·95 (12 trials, 6448 participants), but not medicine adherence, RR:1·10; 95% CI:0·98–1·23 (nine trials, 4213 participants). Subgroup analyses showed that one-way SMS had the highest impact on childhood immunization attendance, OR:3·69; 95% CI:1·67–8·13 (three trials, 1943 participants). There was no clear evidence of one-way SMS improving facility delivery, knowledge level (reproductive/antenatal health, hypertension), diabetes- and hypertension management.

Conclusion

In an African setting, the clinical effect of one-way SMS is uncertain except for appointment attendance where the effect seems to vary depending on which clinical condition it is used in.

Content guidance for mobile phones short message service (SMS)-based antiretroviral therapy adherence and appointment reminders: a review of the literature

Mobile phones are increasingly being used to support health activities, including the care and management of people living with HIV/AIDS. Short message service (SMS) has been explored as a means to optimize and support behaviour change. However, there is minimal guidance on messaging content development. The purpose of this review was to inform the content of SMS messages for mobile health (mHealth) initiatives designed to support anti-retroviral therapy adherence and clinic appointment keeping in resource-limited settings. PubMed, OvidMedline, Google Scholar, K4Health's mHealth Evidence database, the mHealth Working Group project resource, and Health COMpass were searched. A request to online communities for recommendations on message content was also made. 1010 unique sources were identified, of which 51 were included. The information was organized into three categories: pre-message development, message development, and security and privacy. Fifteen of the publications explicitly provided their message content. Important lessons when developing the content of SMS were: (1) conducting formative research; (2) grounding content in behaviour change theory; and (3) reviewing proposed content with experts. Best practices exist for developing message content for behaviour change. Efforts should be continued to apply lessons learned from the existing literature to inform mHealth initiatives supporting HIV/AIDS care and treatment.

Technological solutions for an effective health surveillance system for road traffic crashes in Burkina Faso

BACKGROUND

In the early 2000s, electronic surveillance systems began to be developed to collect and transmit data on infectious diseases in low-income countries (LICs) in real-time using mobile technologies. Such surveillance systems, however, are still very rare in Africa. Among the non-infectious epidemics to be surveilled are road traffic injuries, which constitute major health events and are the fifth leading cause of mortality in Africa. This situation also prevails in Burkina Faso, whose capital city, Ouagadougou, is much afflicted by this burden. There is no surveillance system, but there have been occasional surveys, and media reports of fatal crashes are numerous and increasing in frequency.

OBJECTIVE

The objective of this article is to present the methodology and implementation of, and quality of results produced by, a prototype of a road traffic crash and trauma surveillance system in the city of Ouagadougou.

METHODS

A surveillance system was deployed in partnership with the National Police over a six-month period, from February to July 2015, across the entire city of Ouagadougou. Data were collected by all seven units of the city's National Police road crash intervention service. They were equipped with geotracers that geolocalized the crash sites and sent their positions by SMS (short message service) to a surveillance platform developed using the open-source tool Ushahidi. Descriptive statistical analyses and spatial analyses (kernel density) were subsequently performed on the data collected.

RESULTS

The process of data collection by police officers functioned well. Researchers were able to validate the data collection on road crashes by comparing the number of entries in the platform against the number of reports completed by the crash intervention teams. In total, 873 crash scenes were recorded over 3 months. The system was accessible on the Internet for open consultation of the map of crash sites. Crash-concentration analyses were produced that identified 'hot spots' in the city. Nearly 80% of crashes involved two-wheeled vehicles. Crashes were more numerous at night and during rush hours. They occurred primarily at intersections with traffic lights. With regard to health impacts, half of the injured were under the age of 29 years, and 6 persons were killed.

CONCLUSIONS

This pilot study demonstrated the feasibility of developing simple surveillance systems, based on mHealth, in LICs.

Mobile health solutions in developing countries: a stakeholder perspective

Infrastructural deficiencies, limited access to medical care, and shortage of health care workers are just a few of the barriers to health care in developing countries. mHealth has the potential to overcome at least some of these challenges. To address this, a stakeholder perspective is adopted and an analysis of existing research is undertaken to look at mHealth delivery in developing countries. This study focuses on four key stakeholder groups i.e., health care workers, patients, system developers, and facilitators. A systematic review identifies 108 peer-reviewed articles, which are analysed to determine the extent these articles investigate the different types of stakeholder interactions, and to identify high-level themes emerging within these interactions. This analysis illustrates two key gaps. First, while interactions involving health care workers and/or patients have received significant attention, little research has looked at the role of patient-to-patient interactions. Second, the interactions between system developers and the other stakeholder groups are strikingly under-represented.