The State of Digital Interventions for Demand Generation in Low- and Middle-Income Countries: Considerations, Emerging Approaches, and Research Gaps

Comparing the Effectiveness of a Web-Based Application With a Digital Live Seminar to Improve Safe Communication for Pregnant Women: 3-Group Partially Randomized Controlled Trial

BACKGROUND

Medical internet interventions such as asynchronous apps and synchronous digital live seminars can be effective behavior change interventions. The research question of this study was whether digital interventions based on the Health Action Process Approach can improve pregnant women's safe communication and patient safety in obstetric care.

OBJECTIVE

This study aims to compare a digital live seminar with a web-based application intervention and a passive control group and to identify which social cognitive variables determine safe communication behavior and patient safety.

METHODS

In total, 657 pregnant women were recruited, and hereof, 367 expectant mothers from 2 German university hospitals participated in the pre-post study (live seminar: n=142; web-based app: n=81; passive control group: n=144). All interventions targeted intention, planning, self-efficacy, and communication of personal preferences. The 2.5-hour midwife-assisted live seminar included exercises on empathy and clear communication. The fully automated web-based application consisted of 9 consecutive training lessons with the same content as that of the live seminar.

RESULTS

Controlled for sociodemographic characteristics, repeated measures analyses of covariance revealed that pregnant women significantly improved their self-reported communication behavior in all groups. The improvement was more pronounced after the digital live seminar than after the web-based application (P<.001; ηp2=0.043). Perceived patient safety improved more for pregnant women participating in the live seminar than for those participating in the web-based application group (P=.03 ηp2=0.015). A regression analysis revealed that social cognitive variables predicted safe communication behavior.

CONCLUSIONS

Overall, the web-based application intervention appeared to be less effective than the digital live training in terms of communication behavior. Application interventions addressing communication behaviors might require more face-to-face elements. Improving intention, coping planning, and coping self-efficacy appeared to be key drivers in developing safe communication behavior in pregnant women. Future research should include social learning aspects and focus on the practical application of medical internet interventions when aiming to improve pregnant women's communication and patient safety in obstetrics.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03855735; https://clinicaltrials.gov/ct2/show/NCT03855735.

MIDO GDM: an innovative artificial intelligence-based prediction model for the development of gestational diabetes in Mexican women

Given the barriers to early detection of gestational diabetes mellitus (GDM), this study aimed to develop an artificial intelligence (AI)-based prediction model for GDM in pregnant Mexican women. Data were retrieved from 1709 pregnant women who participated in the multicenter prospective cohort study 'Cuido mi embarazo'. A machine-learning-driven method was used to select the best predictive variables for GDM risk: age, family history of type 2 diabetes, previous diagnosis of hypertension, pregestational body mass index, gestational week, parity, birth weight of last child, and random capillary glucose. An artificial neural network approach was then used to build the model, which achieved a high level of accuracy (70.3%) and sensitivity (83.3%) for identifying women at high risk of developing GDM. This AI-based model will be applied throughout Mexico to improve the timing and quality of GDM interventions. Given the ease of obtaining the model variables, this model is expected to be clinically strategic, allowing prioritization of preventative treatment and promising a paradigm shift in prevention and primary healthcare during pregnancy. This AI model uses variables that are easily collected to identify pregnant women at risk of developing GDM with a high level of accuracy and precision.

Demand creation for HIV testing services: A systematic review and meta-analysis

BACKGROUND

HIV testing services (HTS) are the first steps in reaching the UNAIDS 95-95-95 goals to achieve and maintain low HIV incidence. Evaluating the effectiveness of different demand creation interventions to increase uptake of efficient and effective HTS is useful to prioritize limited programmatic resources. This review was undertaken to inform World Health Organization (WHO) 2019 HIV testing guidelines and assessed the research question, "Which demand creation strategies are effective for enhancing uptake of HTS?" focused on populations globally.

METHODS AND FINDINGS

The following electronic databases were searched through September 28, 2021: PubMed, PsycInfo, Cochrane CENTRAL, CINAHL Complete, Web of Science Core Collection, EMBASE, and Global Health Database; we searched IAS and AIDS conferences. We systematically searched for randomized controlled trials (RCTs) that compared any demand creation intervention (incentives, mobilization, counseling, tailoring, and digital interventions) to either a control or other demand creation intervention and reported HTS uptake. We pooled trials to evaluate categories of demand creation interventions using random-effects models for meta-analysis and assessed study quality with Cochrane's risk of bias 1 tool. This study was funded by the WHO and registered in Prospero with ID CRD42022296947. We screened 10,583 records and 507 conference abstracts, reviewed 952 full texts, and included 124 RCTs for data extraction. The majority of studies were from the African (N = 53) and Americas (N = 54) regions. We found that mobilization (relative risk [RR]: 2.01, 95% confidence interval [CI]: [1.30, 3.09], p < 0.05; risk difference [RD]: 0.29, 95% CI [0.16, 0.43], p < 0.05, N = 4 RCTs), couple-oriented counseling (RR: 1.98, 95% CI [1.02, 3.86], p < 0.05; RD: 0.12, 95% CI [0.03, 0.21], p < 0.05, N = 4 RCTs), peer-led interventions (RR: 1.57, 95% CI [1.15, 2.15], p < 0.05; RD: 0.18, 95% CI [0.06, 0.31], p < 0.05, N = 10 RCTs), motivation-oriented counseling (RR: 1.53, 95% CI [1.07, 2.20], p < 0.05; RD: 0.17, 95% CI [0.00, 0.34], p < 0.05, N = 4 RCTs), short message service (SMS) (RR: 1.53, 95% CI [1.09, 2.16], p < 0.05; RD: 0.11, 95% CI [0.03, 0.19], p < 0.05, N = 5 RCTs), and conditional fixed value incentives (RR: 1.52, 95% CI [1.21, 1.91], p < 0.05; RD: 0.15, 95% CI [0.07, 0.22], p < 0.05, N = 11 RCTs) all significantly and importantly (≥50% relative increase) increased HTS uptake and had medium risk of bias. Lottery-based incentives and audio-based interventions less importantly (25% to 49% increase) but not significantly increased HTS uptake (medium risk of bias). Personal invitation letters and personalized message content significantly but not importantly (<25% increase) increased HTS uptake (medium risk of bias). Reduced duration counseling had comparable performance to standard duration counseling (low risk of bias) and video-based interventions were comparable or better than in-person counseling (medium risk of bias). Heterogeneity of effect among pooled studies was high. This study was limited in that we restricted to randomized trials, which may be systematically less readily available for key populations; additionally, we compare only pooled estimates for interventions with multiple studies rather than single study estimates, and there was evidence of publication bias for several interventions.

CONCLUSIONS

Mobilization, couple- and motivation-oriented counseling, peer-led interventions, conditional fixed value incentives, and SMS are high-impact demand creation interventions and should be prioritized for programmatic consideration. Reduced duration counseling and video-based interventions are an efficient and effective alternative to address staffing shortages. Investment in demand creation activities should prioritize those with undiagnosed HIV or ongoing HIV exposure. Selection of demand creation interventions must consider risks and benefits, context-specific factors, feasibility and sustainability, country ownership, and universal health coverage across disease areas.

The impact of digital communication and data exchange on primary health service delivery in a small island developing state setting

Tuvalu is one of the smallest and most remote countries in the world. Due partly to its geography, the limited availability of human resources for health, infrastructure weaknesses, and the economic situation, Tuvalu faces many health systems challenges to delivering primary health care and achieving universal health coverage. Advancements in information communication technology are anticipated to change the face of health care delivery, including in developing settings. In 2020 Tuvalu commenced installation of Very Small Aperture Terminals (VSAT) at health facilities on remote outer islands to allow the digital exchange of data and information between facilities and healthcare workers. We documented the impact that the installation of VSAT has had on supporting health workers in remote locations, clinical decision-making, and delivering primary health more broadly. We found that installation of VSAT in Tuvalu has enabled regular peer-to-peer communication across facilities; supported remote clinical decision-making and reduced the number of domestic and overseas medical referrals required; and supported formal and informal staff supervision, education, and development. We also found that VSAT's stability is dependent on access to services (such as a reliable electricity supply) for which responsibility sits outside of the health sector. We stress that digital health is not a panacea for all health service delivery challenges and should be seen as a tool (not the solution) to support health service improvement. Our research provides evidence of the impact digital connectivity offers primary health care and universal health coverage efforts in developing settings. It provides insights into factors that enable and inhibit sustainable adoption of new health technologies in low- and middle-income countries.

Adapting digital health interventions for the evolving HIV landscape: examples to support prevention and treatment research

PURPOSE OF REVIEW

Although many HIV prevention and/or treatment digital health interventions (DHIs) have shown feasibility and acceptability, fewer have indicated efficacy, and only a subset have been adapted for new contexts. Adaptation is a key element of pragmatic implementation science research. Adaptation is cost effective and time efficient compared with new development. Leveraging adaptation can lead to accelerated scale-up and enhanced public health impact. Considering the value of adaptation, the purpose of this piece is to present examples of DHI to DHI adaptation sequences to inform future HIV prevention and/or treatment research.

RECENT FINDINGS

From an examination of recent academic articles (01 November 2016 to 31 October 2021), we identified adaptation sequences that included an original DHI with at least two adaptations. Four models are presented herein; examples consist of adapted DHIs for new population, health outcome, geography, or a combination thereof.

SUMMARY

Adaptation is a promising scientific approach to expeditiously respond to the evolving HIV landscape. We present examples of DHI adaptations alongside considerations for each type of adaptation; we also present adaptation challenges with responsive strategies. We suggest when conducted with attention to rigor (leveraging adaptation frameworks, community engagement, and tailoring content), adaptation is a powerful tool to pragmatically address the HIV epidemic.

Analyzing program data and promotional approaches to inform best practices from a mobile phone-based reproductive health message program in Afghanistan

Objective

Digital health technologies have contributed to the adoption of beneficial reproductive, maternal, newborn, and child health (RMNCH) behaviors through social and behavior change programming, including in hard-to-reach settings. On-demand digital health interventions rely on promotions to build awareness and increase use among target audiences. There is little research on preferred content and use of promotional approaches for RMNCH digital health activities.

Methods

We conducted a retrospective descriptive analysis of Mobile for Reproductive Health (m4RH) data in Afghanistan to assess the use and changes in call volume via the 2-3-4 platform by promotional approaches over 23 months between October 2017 and August 2019.

Results

There were 103,859 completed messages (CM) heard. Most callers reporting demographics were under 18 years, with roughly even distribution by gender. The number of CMs listened to across all menus increased with time. The basic m4RH family planning menu was most popular, with callers most frequently selecting information on intrauterine contraceptive devices. Nine types of promotional approaches were implemented. Compared against call volume, SMS blast promotion was the most productive promotional approach, radio broadcasts had modest increases, and social media and interpersonal communication demonstrated no clear change.

Conclusions

m4RH use increased over time, particularly among younger people. The number of promotional approaches used does not appear as important as the type of approach used to generate program awareness. Mass media communications, including SMS blast promotions and radio broadcasts, may be the most effective strategies. Deeper program data analysis can guide tailoring of message content and promotional approaches to reach target audiences with the RMNCH content they most value.

Acceptability of mobile-phone reminders for routine childhood vaccination appointments in Nigeria - a systematic review and meta-analysis

BACKGROUND

Mobile-phone reminders have gained traction among policymakers as a way to improve childhood vaccination coverage and timeliness. However, there is limited evidence on the acceptability of mobile-phone reminders among patients and caregivers. This systematic review and meta-analysis aimed to evaluate the ownership of mobile-phone device and the willingness to receive mobile-phone reminders among mothers/caregivers utilizing routine childhood immunization services in Nigeria.

METHOD

MEDLINE, Scopus, CINAHL, CNKI, AJOL (African Journal Online), and Web of Science were systematically searched for studies on the acceptability of mobile-phone reminders for routine immunization appointments among mothers/caregivers in Nigeria. Studies were assessed for methodological quality using the Newcastle Ottawa Scale and JBI critical appraisal checklists. Meta-analysis was conducted using random-effects model to generate pooled estimates (proportion) of mothers who owned at least one mobile phone and proportion of mothers willing to receive mobile-phone reminders.

RESULTS

Sixteen studies (13 cross-sectional and three interventional) involving a total of 9923 mothers across 15 states and the Federal Capital Territory Abuja met inclusion criteria. Pooled estimates showed that the proportion of mothers who owned at least one mobile phone was 96.4% (95% CI = 94.1-98.2%; I2 = 96.3%) while the proportion of mothers willing to receive mobile-phone reminders was 86.0% (95% CI = 79.8-91.3%, I2 = 98.4%). Most mothers preferred to receive text message reminders at least 24 h before the routine immunization appointment day, and in the morning hours. Approximately 52.8% of the mothers preferred to receive reminders in English, the country's official language.

CONCLUSION

Current evidence suggests a high acceptability for mobile-phone reminder interventions to improve routine childhood immunization coverage and timeliness. Further studies, however, are needed to better understand unique regional preferences and assess the operational costs, long-term effects, and risks of this intervention.

SYSTEMATIC REVIEW PROTOCOL REGISTRATION

PROSPERO CRD42021234183.

Short message service (SMS) reminders for childhood immunisation in low-income and middle-income countries: a systematic review and meta-analysis

Introduction

Childhood vaccine delivery services in the low- and middle-income countries (LMIC) are struggling to reach every child with lifesaving vaccines. Short message service (SMS) reminders have demonstrated positive impact on a number of attrition-prone healthcare delivery services. We aimed to evaluate the effectiveness of SMS reminders in improving immunisation coverage and timeliness in LMICs.

Methods

PubMed, Embase, Scopus, Cochrane CENTRAL, CINAHL, CNKI, PsycINFO and Web of Science including grey literatures and Google Scholar were systematically searched for randomised controlled trials (RCTs) and non-RCTs that evaluated the effect of SMS reminders on childhood immunisation and timeliness in LMICs. Risk of bias was assessed using the Cochrane Risk of Bias 2.0 assessment tool for RCTs and Cochrane Risk of Bias in Non-randomised Studies of Interventions tool for non-RCTs. Meta-analysis was conducted using random-effects models to generate pooled estimates of risk ratio (RR).

Results

18 studies, 13 RCTs and 5 non-RCTs involving 32 712 infants (17 135 in intervention groups and 15 577 in control groups) from 11 LMICs met inclusion criteria. Pooled estimates showed that SMS reminders significantly improved childhood immunisation coverage (RR=1.16; 95% CI: 1.10 to 1.21; I²=90.4%). Meta-analysis of 12 included studies involving 25 257 infants showed that SMS reminders significantly improved timely receipt of childhood vaccines (RR=1.21; 95% CI: 1.12 to 1.30; I²=87.3%). Subgroup analysis showed that SMS reminders are significantly more effective in raising childhood immunisation coverage in lower middle-income and low-income countries than in upper middle-income countries (p<0.001) and sending more than two SMS reminders significantly improves timely receipt of childhood vaccines than one or two SMS reminders (p=0.040).

Conclusion

Current evidence from LMICs, although with significant heterogeneity, suggests that SMS reminders can contribute to achieving high and timely childhood immunisation coverage.

PROSPERO registration number

CRD42021225843.

Predicting healthcare-seeking behavior based on stated readiness to act: development and validation of a prediction model

A starting point of many digital health interventions informed by the Stages of Change Model of behavior change is assessing a person's readiness to change. In this paper, we use the concept of readiness to develop and validate a prediction model of health-seeking behavior in the context of family planning. We conducted a secondary analysis of routinely collected, anonymized health data submitted by 4,088 female users of a free health chatbot in Kenya. We developed a prediction model of (future) self-reported action by randomly splitting the data into training and test data sets (80/20, stratified by the outcome). We further split the training data into 10 folds for cross-validating the hyperparameter tuning step in model selection. We fit nine different classification models and selected the model that maximized the area under the receiver operator curve. We then fit the selected model to the full training dataset and evaluated the performance of this model on the holdout test data. The model predicted who will visit a family planning provider in the future with high precision (0.93) and moderate recall (0.75). Using the Stages of Change framework, we concluded that 29% of women were in the "Preparation" stage, 21% were in the "Contemplation" stage, and 50% were in the "Pre-Contemplation" stage. We demonstrated that it is possible to accurately predict future healthcare-seeking behavior based on information learned during the initial encounter. Models like this may help intervention developers to tailor strategies and content in real-time.

Psychosocial Challenges in Palliative Care: Bridging the Gaps Using Digital Health

Psychosocial health is a major palliative care concern globally. Patients and caregivers engaged in palliative care may experience deteriorated mental and social health conditions. Global evidence informs a high burden of depression, anxiety, psychological distress and other mental health problems among the palliative care populations. Those challenges aggravate the preexisting palliative care issues, such as lack of access and suboptimal quality of care. Palliative caregiving, both in the institutional and community settings, should be strengthened, incorporating psychosocial support for the patients and their caregivers. The recent advancements in digital health technologies have shown promising impacts in facilitating health communication, decision-making and delivering psychosocial interventions using digital devices and platforms. Adopting evidence-based interventions can help the users to access mental health resources and communicate with each other to promote shared decision-making and management of health problems. Health-care organisations and systems may explore opportunities to advance psychosocial care using digital technologies. Leveraging advanced technologies in palliative caregiving may require multifaceted research exploring potential barriers and opportunities at the user, institutional and systems levels. Nonetheless, palliative care policies and health systems measures should be strengthened to develop and implement digital support systems that may improve psychosocial health and overall palliative care outcome.

Mobile phone-based messaging for tobacco cessation in low and middle-income countries: A systematic review

INTRODUCTION

Mobile phone-based tobacco cessation (mCessation) interventions are effective in high-income countries but their effectiveness in low and middle-income countries (LMICs) is unclear. We aimed to assess the evidence-base for mCessation interventions in LMICs by synthesizing study characteristics and to describe intervention characteristics and content.

METHODS

Studies were included in this review if they evaluated an intervention that targeted tobacco users, were conducted in an LMIC, measured tobacco cessation as a primary or secondary outcome, and were primarily delivered using mobile phone (text or app-based) messaging. Data were extracted on fields pertaining to study and intervention characteristics and study quality was assessed using the Effective Public Health Practice Project tool. Screening, extraction and quality assessment were conducted by two independent reviewers.

RESULTS

Of 606 unique records, 12 articles were included. The majority of studies were methodologically weak. Methodological limitations included small sample sizes, short follow-up durations and use of self-reported outcomes. Most evaluations were conducted in upper middle-income countries with urban, adult smokers intending to quit smoking. Approximately half the interventions were bidirectional (enabled two-way messaging) and fully automated. Almost all interventions were delivered via SMS. Treatment offerings of the intervention and control groups varied widely.

CONCLUSIONS

More rigorous large-scale randomized controlled trials are needed to conclusively establish the efficacy of mCessation interventions in LMICs. Interventions also need to be tested across more diverse populations and settings. Future studies should test the relative effectiveness of different intervention characteristics.

Mobile consulting as an option for delivering healthcare services in low-resource settings in low- and middle-income countries: A mixed-methods study

OBJECTIVE

Remote or mobile consulting is being promoted to strengthen health systems, deliver universal health coverage and facilitate safe clinical communication during coronavirus disease 2019 and beyond. We explored whether mobile consulting is a viable option for communities with minimal resources in low- and middle-income countries.

METHODS

We reviewed evidence published since 2018 about mobile consulting in low- and middle-income countries and undertook a scoping study (pre-coronavirus disease) in two rural settings (Pakistan and Tanzania) and five urban slums (Kenya, Nigeria and Bangladesh), using policy/document review, secondary analysis of survey data (from the urban sites) and thematic analysis of interviews/workshops with community members, healthcare workers, digital/telecommunications experts, mobile consulting providers, and local and national decision-makers. Project advisory groups guided the study in each country.

RESULTS

We reviewed four empirical studies and seven reviews, analysed data from 5322 urban slum households and engaged with 424 stakeholders in rural and urban sites. Regulatory frameworks are available in each country. Mobile consulting services are operating through provider platforms (n = 5-17) and, at the community level, some direct experience of mobile consulting with healthcare workers using their own phones was reported - for emergencies, advice and care follow-up. Stakeholder willingness was high, provided challenges are addressed in technology, infrastructure, data security, confidentiality, acceptability and health system integration. Mobile consulting can reduce affordability barriers and facilitate care-seeking practices.

CONCLUSIONS

There are indications of readiness for mobile consulting in communities with minimal resources. However, wider system strengthening is needed to bolster referrals, specialist services, laboratories and supply chains to fully realise the continuity of care and responsiveness that mobile consulting services offer, particularly during/beyond coronavirus disease 2019.

Assessing the challenges to women's access and implementation of text messages for nutrition behaviour change in rural Tanzania

OBJECTIVE

This process evaluation aimed to understand factors affecting the implementation of a government-sponsored short message service (SMS) programme for delivering nutrition information to rural populations, including message access, acceptability and putting messages into action.

DESIGN

The study was nested within a larger randomised controlled trial. Cross-sectional data collection included structured surveys and in-depth interviews. Data were analysed for key trends and themes using Stata and ATLAS.ti software.

SETTING

The study took place in Tanzania's Mtwara region.

PARTICIPANTS

Surveys were conducted with 205 women and 93 men already enrolled in the randomised controlled trial. A sub-set of 30 women and 14 men participated in the in-depth interviews.

RESULTS

Among women relying on a spouse's phone, sharing arrangements impeded regular SMS access; men were commonly away from home, forgot to share SMS or did not share them in women's preferred way. Phone-owning women faced challenges related to charging their phones and defective handsets. Once SMS were delivered, most participants viewed them as trustworthy and comprehensible. However, economic conditions limited the feasibility of applying certain recommendations, such as feeding meat to toddlers. A sub-set of participants concurrently enrolled in an interpersonal counselling (IPC) intervention indicated that the SMS provided reminders of lessons learned during the IPC; yet, the SMS did not help participants contextualise information and overcome the challenges of putting that information into practice.

CONCLUSIONS

The challenges to accessing and implementing SMS services highlighted here suggest that such platforms may work well as one component of a comprehensive nutrition intervention, yet not as an isolated effort.

Acceptability and Use of Interactive Voice Response Mobile Phone Surveys for Noncommunicable Disease Behavioral Risk Factor Surveillance in Rural Uganda: Qualitative Study

Background

There is need for more timely data to inform interventions that address the growing noncommunicable disease (NCD) epidemic. With a global increase in mobile phone ownership, mobile phone surveys can bridge this gap.

Objective

This study aimed to explore the acceptability and use of interactive voice response (IVR) surveys for surveillance of NCD behavioral risk factors in rural Uganda.

Methods

This qualitative study employed user group testing (UGT) with community members. The study was conducted at the Iganga-Mayuge Health and Demographic Surveillance Site (IM-HDSS) in Eastern Uganda. We conducted four UGTs which consisted of different categories of HDSS members: females living in urban areas, males living in urban areas, females living in rural areas, and males living in rural areas. Participants were individually sent an IVR survey, then were brought in for a group discussion using a semistructured guide. Data were analyzed thematically using directed content analysis.

Results

Participants perceived that IVR surveys may be useful in promoting confidentiality, saving costs, and raising awareness on NCD behavioral risk factors. Due to the clarity and delivery of questions in the local language, the IVR survey was perceived as easy to use. Community members suggested scheduling surveys on specific days and sending reminders as ways to improve their use for surveillance. Social issues such as domestic violence and perceptions toward unknown calls, technological factors including poor network connections and inability to use phones, and personal issues such as lack of access to phones and use of multiple networks were identified as barriers to the acceptability and use of mobile phone surveys. However, incentives were reported to motivate people to complete the survey.

Conclusions

Community members reflected on contextual and sociological implications of using mobile phones for surveillance of NCD behavioral risk factors. The opportunities and challenges that affect acceptability and use of IVR surveys should be considered in designing and implementing surveillance programs for NCD risk factors.

Text Message Reminders and Unconditional Monetary Incentives to Improve Measles Vaccination in Western Kenya: Study Protocol for the Mobile and Scalable Innovations for Measles Immunization Randomized Controlled Trial

BACKGROUND

Globally, 21 million children do not receive the measles vaccine each year. With high levels of mobile phone access and ownership, opportunities exist to leverage mobile health technologies to generate demand for immunization.

OBJECTIVE

The aim of the Mobile and Scalable Innovations for Measles Immunization trial is to determine if text message (short message service, SMS) reminders, either with or without mobile phone-based incentives, can improve measles immunization coverage and timeliness in rural western Kenya.

METHODS

This is a 3-arm, parallel, randomized controlled trial (RCT). Using simple randomization, caregivers in Siaya County, Kenya, will be randomized and evenly allocated to 1 of 3 study arms: (1) control, (2) SMS reminders only, and (3) SMS reminders plus a 150 Kenyan Shilling (KES) incentive. Participants assigned to the SMS group will be sent SMS reminders 3 days before and on the day before the measles immunization visit scheduled for when the child is 9 months of age. Participants in the incentive arm will, in addition to SMS reminders as above, be sent an unconditional 150 KES mobile-money incentive to their mobile phone 3 days before the child becomes 9 months of age. Children will be followed up to the age of 12 months to assess the primary outcome, a measles vaccination by 10 months of age. Log-binomial regressions will be used to calculate relative risks.

RESULTS

Enrollment was completed in March 2017. We enrolled 537 caregivers and their infants into the following groups: control (n=179), SMS reminders only (n=179), and SMS reminders plus 150 KES (n=179). Results will be made publicly available in 2020.

CONCLUSIONS

Few RCTs have examined the effect of text message reminders to improve measles immunization coverage. This is the first study to assess the effect of SMS reminders with and without unconditionally provided mobile-money incentives to improve measles immunization coverage.

TRIAL REGISTRATION

ClinicalTrials.gov NCT02904642; https://clinicaltrials.gov/ct2/show/NCT02904642 (Archived by WebCite® at http://www.webcitation.org/78r7AzD2X).

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR1-10.2196/13221.

Digital Health and Health Systems of the Future

Digital strategies have been formally recognized as a critical health systems strengthening strategy to help meet the Sustainable Development Goals and universal health coverage targets. This landscaping collection reviews multiple possible approaches across health system pillars, from digital referrals to decision support systems, identifying key knowledge gaps across these domains and recognizing the growth needed in the field to realize its full potential.