Smisha Agarwal

Guidelines for reporting of health interventions using mobile phones: mobile health (mHealth) evidence reporting and assessment (mERA) checklist

To improve the completeness of reporting of mobile health (mHealth) interventions, the WHO mHealth Technical Evidence Review Group developed the mHealth evidence reporting and assessment (mERA) checklist. The development process for mERA consisted of convening an expert group to recommend an appropriate approach, convening a global expert review panel for checklist development, and pilot testing the checklist. The guiding principle for the development of these criteria was to identify a minimum set of information needed to define what the mHealth intervention is (content), where it is being implemented (context), and how it was implemented (technical features), to support replication of the intervention. This paper presents the resulting 16 item checklist and a detailed explanation and elaboration for each item, with illustrative reporting examples. Through widespread adoption, we expect that the use of these guidelines will standardise the quality of mHealth evidence reporting, and indirectly improve the quality of mHealth evidence.

Evidence on feasibility and effective use of mHealth strategies by frontline health workers in developing countries: systematic review

Given the large‐scale adoption and deployment of mobile phones by health services and frontline health workers (FHW), we aimed to review and synthesise the evidence on the feasibility and effectiveness of mobile‐based services for healthcare delivery.

Newborn Health on the Line: The Potential mHealth Applications

Among the 75 countries with the highest burden of child deaths, 40% of such deaths occur during the neonatal period.1 Complications arising from preterm birth are now the leading cause of neonatal mortality worldwide. Despite significant survival gains in children younger than 5 years, reductions in newborn deaths continue to lag behind.1 The rapid proliferation of wireless communication in developing countries has led to the ubiquitous availability and use of mobile phones, even in remote, rural places where public health systems are struggling to gain ground. Does this new reality offer innovative mechanisms through which appropriate care can be delivered during the critical period around childbirth? Research is ongoing across a diverse mHealth space to define the extent to which extending access to information for mothers, improving the targeted delivery of timely care, and replacing inefficient data collection and response systems with real-time accountability can improve the fate of the 7.6 million children younger than 5 years who die each year.1

Mobile Phone Interventions for Adolescent Sexual and Reproductive Health: A Systematic Review.

CONTEXT: Interventions for adolescent sexual and reproductive health (ASRH) are increasingly using mobile phones but may not effectively report evidence. OBJECTIVE: To assess strategies, findings, and quality of evidence on using mobile phones to improve ASRH by using the mHealth Evidence Reporting and Assessment (mERA) checklist recently published by the World Health Organization mHealth Technical Evidence Review Group. DATA SOURCES: Systematic searches of 8 databases for peer-reviewed studies published January 2000 through August 2014. STUDY SELECTION: Eligible studies targeted adolescents ages 10 to 24 and provided results from mobile phone interventions designed to improve ASRH. DATA EXTRACTION: Studies were evaluated according to the mERA checklist, covering essential mHealth criteria and methodological reporting criteria. RESULTS: Thirty-five articles met inclusion criteria. Studies reported on 28 programs operating at multiple levels of the health care system in 7 countries. Most programs (82%) used text messages. An average of 41% of essential mHealth criteria were met (range 14%–79%). An average of 82% of methodological reporting criteria were met (range 52%–100%). Evidence suggests that inclusion of text messaging in health promotion campaigns, sexually transmitted infection screening and follow-up, and medication adherence may lead to improved ASRH. LIMITATIONS: Only 3 articles reported evidence from lower- or middle-income countries, so it is difficult to draw conclusions for these settings. CONCLUSIONS: Evidence on mobile phone interventions for ASRH published in peer-reviewed journals reflects a high degree of quality in methods and reporting. In contrast, current reporting on essential mHealth criteria is insufficient for understanding, replicating, and scaling up mHealth interventions.

Strengthening community health supply chain performance through an integrated approach: Using mHealth technology and multilevel teams in Malawi

Background In 2010, 7.6 million children under five died globally – largely due to preventable diseases. Majority of these deaths occurred in sub–Saharan Africa. As a strategy to reduce child mortality, the Government of Malawi, in 2008, initiated integrated community case management allowing health surveillance assistants (HSAs) to treat sick children in communities. Malawi however, faces health infrastructure challenges, including weak supply chain systems leading to low product availability. A baseline assessment conducted in 2010 identified data visibility, transport and motivation of HSAs as challenges to continuous product availability. The project designed a mHealth tool as part of two interventions to address these challenges. Methods A mobile health (mHealth) technology – cStock, for reporting on community stock data – was designed and implemented as an integral component of Enhanced Management (EM) and Efficient Product Transport (EPT) interventions. We developed a feasibility and acceptability framework to evaluate the effectiveness and predict the likelihood of scalability and ownership of the interventions. Mixed methods were used to conduct baseline and follow up assessments in May 2010 and February 2013, respectively. Routine monitoring data on community stock level reports, from cStock, were used to analyze supply chain performance over 18–month period in the intervention groups. Results Mean stock reporting rate by HSAs was 94% in EM group (n = 393) and 79% in EPT group (n = 253); mean reporting completeness was 85% and 65%, respectively. Lead time for HSA drug resupply over the 18–month period was, on average, 12.8 days in EM and 26.4 days in EPT, and mean stock out rate for 6 tracer products was significantly lower in EM compared to EPT group. Conclusions Results demonstrate that cStock was feasible and acceptable to test users in Malawi, and that based on comparison with the EPT group, the team component of the EM group was an essential pairing with cStock to achieve the best possible supply chain performance and supply reliability. Establishing multi–level teams serves to connect HSAs with decision makers at higher levels of the health system, align objectives, clarify roles and promote trust and collaboration, thereby promoting country ownership and scalability of a cStock–like system.

Adolescent/Youth Reproductive Mobile Access and Delivery Initiative for Love and Life Outcomes (ARMADILLO) Study: formative protocol for mHealth platform development and piloting

BackgroundThere is a high unmet need for sexual and reproductive health (SRH) information and services among youth (ages 15-24) worldwide (MacQuarrie KLD. Unmet Need for Family Planning among Young Women: Levels and Trends 2014). With the proliferation of mobile technology, and its popularity with this age group, mobile phones offer a novel and accessible platform for a discreet, on-demand service providing SRH information. The Adolescent/Youth Reproductive Mobile Access and Delivery Initiative for Love and Life Outcomes (ARMADILLO) formative study will inform the development of an intervention, which will use the popular channel of SMS (text messages) to deliver SRH information on-demand to youth.Methods/DesignFollowing the development of potential SMS message content in partnership with SRH technical experts and youth, formative research activities will take place over two phases. Phase 1 will use focus group discussions (FGDs) with youth and parents/caregivers to develop and test the appropriateness and acceptability of the SMS messages. Phase 2 will consist of ‘peer piloting’, where youth participants will complete an SRH outcome-focused pretest, be introduced to the system and then have three weeks to interact with the system and share it with friends. Participants will then return to complete the SRH post-test and participate in an in-depth interview about their own and their peers’ opinions and experiences using ARMADILLO.DiscussionThe ARMADILLO formative stage will culminate in the finalization of country-specific ARMADILLO messaging. Reach and impact of ARMADILLO will be measured at later stages. We anticipate that the complete ARMADILLO platform will be scalable, with the potential for national-level adoption.

Sustainable Cost Models for mHealth at Scale: Modeling Program Data from m4RH Tanzania

Background There is increasing evidence that mobile phone health interventions (“mHealth”) can improve health behaviors and outcomes and are critically important in low-resource, low-access settings. However, the majority of mHealth programs in developing countries fail to reach scale. One reason may be the challenge of developing financially sustainable programs. The goal of this paper is to explore strategies for mHealth program sustainability and develop cost-recovery models for program implementers using 2014 operational program data from Mobile for Reproductive Health (m4RH), a national text-message (SMS) based health communication service in Tanzania. Methods We delineated 2014 m4RH program costs and considered three strategies for cost-recovery for the m4RH program: user pay-for-service, SMS cost reduction, and strategic partnerships. These inputs were used to develop four different cost-recovery scenarios. The four scenarios leveraged strategic partnerships to reduce per-SMS program costs and create per-SMS program revenue and varied the structure for user financial contribution. Finally, we conducted break-even and uncertainty analyses to evaluate the costs and revenues of these models at the 2014 user volume (125,320) and at any possible break-even volume. Results In three of four scenarios, costs exceeded revenue by

What do they do? Interactions between village doctors and medical representatives in Chakaria, Bangladesh

94,596,

Drug detailers and the pharmaceutical market in Bangladesh

34,443, and

Family Planning Counseling in Your Pocket: A Mobile Job Aid for Community Health Workers in Tanzania.

84,571 at the 2014 user volume. However, these costs represented large reductions (54%, 83%, and 58%, respectively) from the 2014 program cost of