Garrett Mehl

mHealth innovations as health system strengthening tools: 12 common applications and a visual framework

This new framework lays out 12 common mHealth applications used as health systems strengthening innovations across the reproductive health continuum. This new framework lays out 12 common mHealth applications used as health systems strengthening innovations across the reproductive health continuum.

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.

Prioritizing integrated mHealth strategies for universal health coverage

As countries strive toward universal health coverage, mobile wireless technologies—mHealth tools—in support of enumeration, registration, unique identification, and maintenance of health records will facilitate improved health system performance. Electronic forms and registry systems will enable routine monitoring of the coverage of essential interventions for individuals within relevant target populations. A cascading model is presented for prioritizing and operationalizing the role of integrated mHealth strategies.

Pregnancy Registration Systems Can Enhance Health Systems, Increase Accountability and Reduce Mortality

Abstract As many low- to middle-income countries strive to achieve targets of reduced maternal, neonatal and infant mortality set by the Millennium Development Goals, health system innovations which can accelerate progress are being carefully examined. Among these are technologies and systems which aim to strengthen frontline health workers and the health systems within which they work, by enabling the registration of pregnancies, births and outcomes. Accurate, population-based numerators and denominators can help to improve accountability of the health system to provide expected routine antenatal and post-natal care, as well as emergency support and referral, as needed. The enumeration of women of reproductive age, followed by prospective, voluntary registration of pregnancies has the potential to support governments, health agencies, and the populations they serve, to ensure public health service delivery and to guide informed policies.

Using the Lives Saved Tool ( LiST ) to Model mHealth Impact on Neonatal Survival in Resource-Limited Settings

While the importance of mHealth scale-up has been broadly emphasized in the mHealth community, it is necessary to guide scale up efforts and investment in ways to help achieve the mortality reduction targets set by global calls to action such as the Millennium Development Goals, not merely to expand programs. We used the Lives Saved Tool (LiST)–an evidence-based modeling software–to identify priority areas for maternal and neonatal health services, by formulating six individual and combined interventions scenarios for two countries, Bangladesh and Uganda. Our findings show that skilled birth attendance and increased facility delivery as targets for mHealth strategies are likely to provide the biggest mortality impact relative to other intervention scenarios. Although further validation of this model is desirable, tools such as LiST can help us leverage the benefit of mHealth by articulating the most appropriate delivery points in the continuum of care to save lives.

Unmet Need: Improving mHealth Evaluation Rigor to Build the Evidence Base

mHealth—the use of mobile technologies for health—is a growing element of health system activity globally, but evaluation of those activities remains quite scant, and remains an important knowledge gap for advancing mHealth activities. In 2010, the World Health Organization and Columbia University implemented a small-scale survey to generate preliminary data on evaluation activities used by mHealth initiatives. The authors describe self-reported data from 69 projects in 29 countries. The majority (74%) reported some sort of evaluation activity, primarily nonexperimental in design (62%). The authors developed a 6-point scale of evaluation rigor comprising information on use of comparison groups, sample size calculation, data collection timing, and randomization. The mean score was low (2.4); half (47%) were conducting evaluations with a minimum threshold (4 + ) of rigor, indicating use of a comparison group, while less than 20% had randomized the mHealth intervention. The authors were unable to assess whether the rigor score was appropriate for the type of mHealth activity being evaluated. What was clear was that although most data came from mHealth projects pilots aimed for scale-up, few had designed evaluations that would support crucial decisions on whether to scale up and how. Whether the mHealth activity is a strategy to improve health or a tool for achieving intermediate outcomes that should lead to better health, mHealth evaluations must be improved to generate robust evidence for cost-effectiveness assessment and to allow for accurate identification of the contribution of mHealth initiatives to health systems strengthening and the impact on actual health outcomes.

Perceptions of data processes in mobile-based versus paper-based health information systems for maternal, newborn and child health: A qualitative study in Andhra Pradesh, India

Background Many maternal, newborn and child health (MNCH) programmes have paired community health workers with mobile technologies to strengthen the ability of health information systems (HIS) to track women and children across time and beyond the clinical setting. However, little is known regarding the comparative effectiveness of using mobile technologies to enhance HIS data in resource-poor settings. Methods Focus group discussions were conducted with community health workers called Health Activists (HAs; n=30), Community Organisation Leaders (n=28), HA Trainers (n=21), district and tribal area officials (n=3) and State Officials (n=4). We analysed user perceptions along seven key HIS processes: data collection, transmission, processing, analysis, display, quality checking and feedback. Results The mobile-based health information system (mHIS) was found to be supportive of the MNCH continuum of care by improving the regularity and timeliness of access to robust data. Respondents noted that data errors were reduced in real time through automated error checking and data processing, which also reduced users’ workloads. The mHIS additionally enabled users to analyse both individual and aggregate data, allowing them to identify specific individuals in need of services or training as well as to identify general trends in service delivery. The systems data display and feedback mechanisms were viewed as improving data use for decision-making. The remaining challenges of the mHIS versus the paper-based HIS included resource, infrastructural and technological barriers that hindered efficient use over time. Conclusions As compared to paper-based HIS systems, mobile technologies can improve health information processes in resource-poor settings. More efforts are needed to ensure sufficient financial investment, training and use of mHIS data at all levels of the HIS.

Mobile Technology for Community Health (MOTECH) in Ghana: is maternal messaging and provider use of technology cost effective in improving maternal and child health outcomes at scale? (Preprint)

Background Mobile technologies are emerging as tools to enhance health service delivery systems and empower clients to improve maternal, newborn, and child health. Limited evidence exists on the value for money of mobile health (mHealth) programs in low- and middle-income countries. Objective This study aims to forecast the incremental cost-effectiveness of the Mobile Technology for Community Health (MOTECH) initiative at scale across 170 districts in Ghana. Methods MOTECH’s “Client Data Application” allows frontline health workers to digitize service delivery information and track the care of patients. MOTECH’s other main component, the “Mobile Midwife,” sends automated educational voice messages to mobile phones of pregnant and postpartum women. We measured program costs and consequences of scaling up MOTECH over a 10-year analytic time horizon. Economic costs were estimated from informant interviews and financial records. Health effects were modeled using the Lives Saved Tool with data from an independent evaluation of changes in key services coverage observed in Gomoa West District. Incremental cost-effectiveness ratios were presented overall and for each year of implementation. Uncertainty analyses assessed the robustness of results to changes in key parameters. Results MOTECH was scaled in clusters over a 3-year period to reach 78.7% (170/216) of Ghana’s districts. Sustaining the program would cost US

Tracking health commodity inventory and notifying stock levels via mobile devices

17,618 on average annually per district. Over 10 years, MOTECH could potentially save an estimated 59,906 lives at a total cost of US

H_pe for mHealth: More “y” or “o” on the horizon?

32 million. The incremental cost per disability-adjusted life year averted ranged from US