The impact of an mHealth monitoring system on health care utilization by mothers and children: an evaluation using routine health information in Rwanda

Impact of mHealth interventions on maternal, newborn, and child health from conception to 24 months postpartum in low- and middle-income countries: a systematic review

BACKGROUND

Mobile health (mHealth) technologies have been harnessed in low- and middle-income countries (LMICs) to address the intricate challenges confronting maternal, newborn, and child health (MNCH). This review aspires to scrutinize the effectiveness of mHealth interventions on MNCH outcomes during the pivotal first 1000 days of life, encompassing the period from conception through pregnancy, childbirth, and post-delivery, up to the age of 2 years.

METHODS

A comprehensive search was systematically conducted in May 2022 across databases, including PubMed, Cochrane Library, Embase, Cumulative Index to Nursing & Allied Health (CINAHL), Web of Science, Scopus, PsycINFO, and Trip Pro, to unearth peer-reviewed articles published between 2000 and 2022. The inclusion criteria consisted of (i) mHealth interventions directed at MNCH; (ii) study designs, including randomized controlled trials (RCTs), RCT variations, quasi-experimental designs, controlled before-and-after studies, or interrupted time series studies); (iii) reports of outcomes pertinent to the first 1000 days concept; and (iv) inclusion of participants from LMICs. Each study was screened for quality in alignment with the Cochrane Handbook for Systematic Reviews of Interventions and the Joanne Briggs Institute Critical Appraisal tools. The included articles were then analyzed and categorized into 12 mHealth functions and outcome domain categories (antenatal, delivery, and postnatal care), followed by forest plot comparisons of effect measures.

RESULTS

From the initial pool of 7119 articles, we included 131 in this review, comprising 56 RCTs, 38 cluster-RCTs, and 37 quasi-experimental studies. Notably, 62% of these articles exhibited a moderate or high risk of bias. Promisingly, mHealth strategies, such as dispatching text message reminders to women and equipping healthcare providers with digital planning and scheduling tools, exhibited the capacity to augment antenatal clinic attendance and enhance the punctuality of child immunization. However, findings regarding facility-based delivery, child immunization attendance, and infant feeding practices were inconclusive.

CONCLUSIONS

This review suggests that mHealth interventions can improve antenatal care attendance and child immunization timeliness in LMICs. However, their impact on facility-based delivery and infant feeding practices varies. Nevertheless, the potential of mHealth to enhance MNCH services in resource-limited settings is promising. More context-specific implementation studies with rigorous evaluations are essential.

Utilization of Antenatal Care and Skilled Birth Delivery Services in Sub-Saharan Africa: A Systematic Scoping Review

Daily, the number of women who die around the world reaches an average of 800; these deaths are a result of obstetric complications in pregnancy and childbirth, and 99% of these deaths occur in low- and middle-income countries. This review probes the use of antenatal care (ANC) and skilled birth delivery (SBD) services in sub-Saharan Africa (SSA) and highlights research gaps using Arksey and O'Malley's methodological approach. The screening of abstracts and full text was carried out by two independent authors who ensured the eligibility of data extraction from the included articles. An exploration of the data was undertaken with descriptive analyses. In total, 350 potentially eligible articles were screened, and 137 studies were included for data extraction and analysis. From the 137 included studies, the majority were from Ethiopia (n = 40, 29.2%), followed by Nigeria (n = 30, 21.9%). Most of the studies were published between 2019 and 2023 (n = 84, 61%). Significant trends and challenges with ANC and SBD services emerged from the studies. It is revealed that there are wide gaps in the utilization of ANC and SBD services. Policy attention, intervention strategies to improve access, resources, rural-urban disparity, and women's literacy are recommended to improve the utilization of ANC and SBD services in SSA countries.

Lay health workers in primary and community health care for maternal and child health: identification and treatment of wasting in children

BACKGROUND

Since the early 2010s, there has been a push to enhance the capacity to effectively treat wasting in children through community-based service delivery models and thus reduce morbidity and mortality.

OBJECTIVES

To assess the effectiveness of identification and treatment of moderate and severe wasting in children aged five years or under by lay health workers working in the community compared with health providers working in health facilities.

SEARCH METHODS

We searched MEDLINE, CENTRAL, two other databases, and two ongoing trials registers to 24 September 2021. We also screened the reference lists of related systematic reviews and all included studies.

SELECTION CRITERIA

We included randomised controlled trials (RCTs) and non-randomised studies in children aged five years or under with moderate wasting (defined as weight-for-height Z-score (WHZ) below -2 but no lower than ≥ -3, or mid-upper-arm circumference (MUAC) below 125 mm but no lower than 115 mm, and no nutritional oedema) or severe wasting (WHZ below -3 or MUAC below 115 mm or nutritional oedema). Eligible interventions were: • identification by lay health workers (LHWs) of children with wasting (intervention 1); • identification by LHWs of children with wasting and medical complications needing referral (intervention 2); and • identification by LHWs of children with wasting without medical complications needing referral (intervention 3). Eligible comparators were: • identification and treatment of wasting by health professionals such as nurses or doctors (at health facilities); and • identification and treatment of wasting by health facility-based teams, including health professionals and LHWs.

DATA COLLECTION AND ANALYSIS

Two review authors independently screened trials, extracted data and assessed risk of bias using the Cochrane risk of bias tool (RoB 2) and Cochrane Effective Practice and Organisation of Care (EPOC) guidelines. We used a random-effects model to meta-analyse data, producing risk ratios (RRs) for dichotomous outcomes in trials with individual allocation, adjusted RRs for dichotomous outcomes in trials with cluster allocation (using the generic inverse variance method in Review Manager 5), and mean differences (MDs) for continuous outcomes. We used the GRADE approach to assess the certainty of the evidence.

MAIN RESULTS

We included two RCTs and five non-RCTs. Six studies were from African countries, and one was from Pakistan. Six studies included children with severe wasting, and one included children with moderate wasting. All studies offered home-based ready-to-use therapeutic food treatment and monitoring. Children received antibiotics in three studies, vitamins or micronutrients in three studies, and deworming treatment in two studies. In three studies, the comparison arm involved LHWs screening children for malnutrition and referring them to health facilities for diagnosis and treatment. All the non-randomised studies had a high overall risk of bias. Interventions 1 and 2 Identification and referral for treatment by LHWs, compared with treatment by health professionals following self-referral, may result in little or no difference in the percentage of children who recover from moderate or severe wasting (MD 1.00%, 95% confidence interval (CI) -2.53 to 4.53; 1 RCT, 29,475 households; low certainty). Intervention 3 Compared with treatment by health professionals following identification by LHWs, identification and treatment of severe wasting in children by LHWs: • may slightly reduce improvement from severe wasting (RR 0.93, 95% CI 0.86 to 0.99; 1 RCT, 789 participants; low certainty); • may slightly increase non-response to treatment (RR 1.44, 95% CI 1.04 to 2.01; 1 RCT, 789 participants; low certainty); • may result in little or no difference in the number of children with WHZ above -2 on discharge (RR 0.94, 95% CI 0.28 to 3.18; 1 RCT, 789 participants; low certainty); • probably results in little or no difference in the number of children with WHZ between -3 and -2 on discharge (RR 1.09, 95% CI 0.87 to 1.36; 1 RCT, 789 participants; moderate certainty); • probably results in little or no difference in the number of children with WHZ below -3 (severe wasting) on discharge (RR 1.23, 95% CI 0.75 to 2.04; 1 RCT, 789 participants; moderate certainty); • probably results in little or no difference in the number of children with MUAC equal to or greater than 115 mm on discharge (RR 0.99, 95% CI 0.93 to 1.06; 1 RCT, 789 participants; moderate certainty); • results in little or no difference in weight gain per day (mean weight gain 0.50 g/kg/day higher, 95% CI 1.74 lower to 2.74 higher; 1 RCT, 571 participants; high certainty); • probably has little or no effect on relapse of severe wasting (RR 1.03, 95% CI 0.69 to 1.54; 1 RCT, 649 participants; moderate certainty); • may have little or no effect on mortality among children with severe wasting (RR 0.46, 95% CI 0.04 to 5.98; 1 RCT, 829 participants; low certainty); • probably has little or no effect on the transfer of children with severe wasting to inpatient care (RR 3.71, 95% CI 0.36 to 38.23; 1 RCT, 829 participants; moderate certainty); and • probably has little or no effect on the default of children with severe wasting (RR 1.48, 95% CI 0.65 to 3.40; 1 RCT, 829 participants; moderate certainty). The evidence was very uncertain for total MUAC gain, MUAC gain per day, total weight gain, treatment coverage, and transfer to another LHW site or health facility. No studies examined sustained recovery, deterioration to severe wasting, appropriate identification of children with wasting or oedema, appropriate referral of children with moderate or severe wasting, adherence, or adverse effects and other harms.

AUTHORS' CONCLUSIONS

Identification and treatment of severe wasting in children who do not require inpatient care by LHWs, compared with treatment by health professionals, may lead to similar or slightly poorer outcomes. We found only two RCTs, and the evidence from non-randomised studies was of very low certainty for all outcomes due to serious risks of bias and imprecision. No studies included children aged under 6 months. Future studies must address these methodological issues.

The Journey Toward Establishing Inpatient Care for Small and Sick Newborns in Ethiopia, India, Malawi, and Rwanda

BACKGROUND

Limited information is available about the approaches used and lessons learned from low- and middle-income countries that have implemented inpatient services for small and sick newborns. We developed descriptive case studies to compare the journeys to establish inpatient newborn care across Ethiopia, India, Malawi, and Rwanda.

METHODS

A total of 57 interviews with stakeholders in Ethiopia (n=12), India (n=12), Malawi (n=16), and Rwanda (n=17) informed the case studies. Our heuristic data analysis followed a deductive organizing framework approach. We informed our data analysis via targeted literature searches to uncover details related to key events. We used the NEST360 Theory of Change for facility-based care, which reflects the World Health Organization (WHO) Health Systems Framework as a starting point and added, as necessary, in an edit processing format until data saturation was achieved.

FINDINGS

Results highlight the strategies and innovation used to establish small and sick newborn care by health system building block and by country. We conducted a gap analysis of implementation of WHO Standards for Improving Facility-Based Care. The journeys to establish inpatient newborn care across the 4 countries are similar in terms of trajectory yet unique in their implementation. Unifying themes include leadership and governance at national level to consolidate and coordinate action to improve newborn quality of care, investment to build staff skills on data collection and use, and institutionalization of regular neonatal data reviews to identify gaps and propose relevant strategies.

CONCLUSION

Efforts to establish and scale inpatient care for small and sick newborns in Ethiopia, India, Malawi, and Rwanda over the last decade have led to remarkable success. These country examples can inspire more nascent initiatives that other low- and middle-income countries may undertake. Documentation should give voice to lived country experience, not all of which is fully captured in existing, peer-reviewed published literature.

Impact of mobile health on maternal and child health service utilization and continuum of care in Northern Ghana

Maternal and child mortality are of public health concern. Most of these deaths occur in rural communities of developing countries. Technology for maternal and child health (T4MCH) is an intervention introduced to increase Maternal and Child Health (MCH) services utilization and continuum of care in some health facilities across Ghana. The objective of this study is to assess the impact of T4MCH intervention on MCH services utilization and continuum of care in the Sawla-Tuna-Kalba District in the Savannah Region of Ghana. This is a quasi-experimental study with a retrospective review of records of MCH services of women who attended antenatal services in some selected health centers in the Bole (comparison district) and Sawla-Tuna-Kalba (intervention district) of the Savannah region, Ghana. A total of 469 records were reviewed, 263 in Bole and 206 in Sawla-Tuna-Kalba. A multivariable modified Poisson and logistic regression models with augmented inverse-probability weighted regression adjustment based on propensity scores were used to quantify the impact of the intervention on service utilization and continuum of care. The implementation of T4MCH intervention increased antenatal care attendance, facility delivery, postnatal care and continuum of care by 18 percentage points (ppts) [95% CI - 17.0, 52.0], 14 ppts [95% CI 6.0%, 21.0%], 27 ppts [95% CI 15.0, 26.0] and 15.0 ppts [95% CI 8.0, 23.0] respectively compared to the control districts. The study showed that T4MCH intervention improved antenatal care, skilled delivery, postnatal services utilization, and continuum of care in health facilities in the intervention district. The intervention is recommended for a scale-up in other rural areas of Northern Ghana and the West-African sub-region.

mHealth in sub-Saharan Africa and Europe: A systematic review comparing the use and availability of mHealth approaches in sub-Saharan Africa and Europe

Background

mHealth can help with healthcare service delivery for various health issues, but there's a significant gap in the availability and use of mHealth systems between sub-Saharan Africa and Europe, despite the ongoing digitalization of the global healthcare system.

Objective

This work aims to compare and investigate the use and availability of mHealth systems in sub-Saharan Africa and Europe, and identify gaps in current mHealth development and implementation in both regions.

Methods

The study adhered to the PRISMA 2020 guidelines for article search and selection to ensure an unbiased comparison between sub-Saharan Africa and Europe. Four databases (Scopus, Web of Science, IEEE Xplore, and PubMed) were used, and articles were evaluated based on predetermined criteria. Details on the mHealth system type, goal, patient type, health concern, and development stage were collected and recorded in a Microsoft Excel worksheet.

Results

The search query produced 1020 articles for sub-Saharan Africa and 2477 articles for Europe. After screening for eligibility, 86 articles for sub-Saharan Africa and 297 articles for Europe were included. To minimize bias, two reviewers conducted the article screening and data retrieval. Sub-Saharan Africa used SMS and call-based mHealth methods for consultation and diagnosis, mainly for young patients such as children and mothers, and for issues such as HIV, pregnancy, childbirth, and child care. Europe relied more on apps, sensors, and wearables for monitoring, with the elderly as the most common patient group, and the most common health issues being cardiovascular disease and heart failure.

Conclusion

Wearable technology and external sensors are heavily used in Europe, whereas they are seldom used in sub-Saharan Africa. More efforts should be made to use the mHealth system to improve health outcomes in both regions, incorporating more cutting-edge technologies like wearables internal and external sensors. Undertaking context-based studies, identifying determinants of mHealth systems use, and considering these determinants during mHealth system design could enhance mHealth availability and utilization.

Integrating Women and Girls' Nutrition Services into Health Systems in Low- and Middle-Income Countries: A Systematic Review

Women's nutrition has been highlighted as a global priority to ensure the health and well-being of both them and future generations. This systematic review summarises the available literature on the integration of nutrition services for girls and women of reproductive age (GWRA) into existing public health systems across low- and middle-income countries, as well as any barriers to integration. We searched PubMed and Cochrane Database of Systematic Reviews for articles published since 2011 according to eligibility criteria. A total of 69 articles were included. Evidence suggested that several services for GWRA are well integrated into public health systems, including antenatal care services, nutrition education and counselling, and micronutrient supplementation programmes. However, there was limited evidence on the integration of family planning, adolescent health, and reproductive health services. Barriers to integration fell into five main themes: lack of training and capacity building, poor multisectoral linkages and coordination, weak advocacy, lack of M&E systems, and inequity. We identified a lack of evidence and services for non-pregnant GWRA and for women postpartum. Addressing barriers to integration and gaps in nutrition services for GWRA would increase service coverage and contribute to improving health outcomes for GWRA and future generations.

Provision and use of physical rehabilitation services for adults with disabilities in Rwanda: A descriptive study

Background

Physical rehabilitation interventions address functional deficits caused by impairments that affect someone’s performance. Whilst rehabilitation is important, it is assumed that these services are either minimal or nonexistent in low-resource settings. Our data expand on the data from the Situation Assessment of Rehabilitation in the Republic of Rwanda report to describe rehabilitation services and who access them at public and semiprivate facilities (primarily funded by the private sector).

Objectives

This article describes the use of the outpatient physical rehabilitation services across nine health facilities, the characteristics of adults attending these health facilities and some of the facilitators and barriers they encounter when attending rehabilitation.

Method

Data were collected between September and December 2018 from the heads of departments and adult patients attending outpatient rehabilitation services funded by the government, international nongovernmental organisations or faith-based organisations.

Results

Two hundred and thirteen adults were recruited from nine facilities. There is a sixfold difference in the number of rehabilitation personnel between public and semiprivate hospitals in these facilities’ catchment areas. However, most participants were recruited at public facilities (186 [87%]), primarily with physical disorders. Patients reported that family support (94%) was the most crucial facilitator for attending rehabilitation, whilst transportation cost (96%) was a significant barrier.

Conclusion

Rehabilitation service availability for Rwandan adults with disabilities is limited. Whilst family support helps patients attend rehabilitation, transportation costs remain a significant barrier to people attending rehabilitation. Strategies to address these issues include developing triage protocols, training community health workers and families.

Contribution

Data on rehabilitation service provision in Rwanda and most African countries are either non-existent or very limited. These data contain important information regarding the services provided and the people who used them across different health facilities (public versus private) and urban versus rural settings). To improve rehabilitation service provision, we first need to understand the current situation. These data are an important step to better understanding rehabilitation in Rwanda.

Pandemics and technology engagement: New evidence from m-Health intervention during COVID-19 in India

Information provision for social welfare via cheap technological media is now a widely available tool used by policymakers. Often, however, an ample supply of information does not translate into high consumption of information due to various frictions in demand, possibly stemming from the pecuniary and non-pecuniary cost of engagement, along with institutional factors. We test this hypothesis in the Indian context using a unique data set comprising 2 million call records of enrolled users of ARMMAN, a Mumbai-based nongovernmental organization that sends timely informational calls to mobile phones of less-privileged pregnant women. The strict lockdown induced by COVID-19 in India was an unexpected shock on engagement with m-Health technology, in terms of both reductions in market wages and increased time availability at home. Using a difference-in-differences design on unique calls tracked at the user-time level with fine-grained time-stamps on calls, we find that during the lockdown period, the call durations increased by 1.53 percentage points. However, technology engagement behavior exhibited demographic heterogeneity increasing relatively after the lockdown for women who had to borrow the phones vis-à-vis phone owners, for those enrolled in direct outreach programs vis-à-vis self-registered women, and for those who belonged to the low-income group vis-à-vis high-income group. These findings are robust with coarsened exact matching and with a placebo test for a 2017-2018 sample. Our results have policy implications around demand-side frictions for technology engagement in developing economies and maternal health.

Can digitally enabling community health and nutrition workers improve services delivery to pregnant women and mothers of infants? Quasi-experimental evidence from a national-scale nutrition programme in India

Background

India’s 1.4 million community health and nutrition workers (CHNWs) serve 158 million beneficiaries under the Integrated Child Development Services (ICDS) programme. We assessed the impact of a data capture, decision support, and job-aid mobile app for the CHNWs on two primary outcomes—(1) timeliness of home visits and (2) appropriate counselling specific to the needs of pregnant women and mothers of children <12 months.

Methods

We used a quasi-experimental pair-matched controlled trial using repeated cross-sectional surveys to evaluate the intervention in Bihar and Madhya Pradesh (MP) separately using an intention-to-treat analysis. The study was powered to detect difference of 5–9 percentage points (pp) with type I error of 0.05 and type II error of 0.20 with endline sample of 6635 mothers of children <12 months and 2398 pregnant women from a panel of 841 villages.

Results

Among pregnant women and mothers of children <12 months, recall of counselling specific to the trimester of pregnancy or age of the child as per ICDS guidelines was higher in both MP (11.5pp (95% CI 7.0pp to 16.0pp)) and Bihar (8.0pp (95% CI 5.3pp to 10.7pp)). Significant differences were observed in the proportion of mothers of children <12 months receiving adequate number of home visits as per ICDS guidelines (MP 8.3pp (95% CI 4.1pp to 12.5pp), Bihar: 7.9pp (95% CI 4.1pp to 11.6pp)). Coverage of children receiving growth monitoring increased in Bihar (22pp (95% CI 0.18 to 0.25)), but not in MP. No effects were observed on infant and young child feeding practices.

Conclusion

The at-scale app integrated with ICDS improved provision of services under the purview of CHNWs but not those that depended on systemic factors, and was relatively more effective when baseline levels of services were low. Overall, digitally enabling CHNWs can complement but not substitute efforts for strengthening health systems and addressing structural barriers.

Trial registration number

ISRCTN83902145.

Methods and Lessons From Costing a Large mHealth Intervention at Scale in India

The use of mobile devices to deliver public health interventions is rapidly increasing, particularly in low resource settings. Despite their proliferation, several mHealth interventions in developing countries fail to reach geographical scale, and long-term sustainability for most remains uncertain. There is a need to cost for such programs, to enable better planning and budgeting and tailor programs as required. Cost estimates can contribute to a more informed debate on resource allocation priorities and help make choices clearer for policymakers. This paper has two main objectives: (1) present a detailed protocol on determining the costs of a large national mHealth job aid and behavior change communication tool known as Integrated Child Development Services - Common Application Software (ICDS-CAS) in India, and (2) to present lessons for policymakers on how to ensure financial planning for scaling mHealth interventions. The study uses the Activity Based Costing—Ingredients (ABC-I) method. The major advantage of the ABC-I method is the clarity it brings to costs for each input and activity, across levels and geographies. It also accounts for indirect costs. There are five key lessons while costing for mHealth programs. First, that there are many activities and ingredients that must be budgeted for and discussed while planning and implementing mHealth programs. Second, the ABC-I method described in this paper provides great clarity on costs, yet its major limitation is the availability of data, which must be mitigated with the careful use of assumptions. Third, mHealth technology life cycles have financial implications which must be accounted for. Fourth, determining cost locations and all sources of funding including non-government sources is crucial. Fifth, since costing estimates are subject to a set of assumptions, a disaggregation of costs allows for scenario-building, which is useful while planning ahead and accounting for program changes. The evidence generated can be used for more informed debate on resource allocation priorities, given competing priorities in low- and middle-income countries.

Interventions to improve obstetric emergency referral decision making, communication and feedback between health facilities in sub-Saharan Africa: A systematic review

Objective

The objective of the study was to review the evidence on interventions to improve obstetric emergency referral decision making, communication and feedback between health facilities in sub‐Saharan Africa (SSA).

Methods

A systematic search of PubMed, Embase, Cochrane Register and CINAHL Plus was conducted to identify studies on obstetric emergency referral in SSA. Studies were included based on pre‐defined eligibility criteria. Details of reported referral interventions were extracted and categorised. The Joanna Biggs Institute Critical Appraisal checklists were used for quality assessment of included studies. A formal narrative synthesis approach was used to summarise findings guided by the WHO's referral system flow.

Results

A total of 14 studies were included, with seven deemed high quality. Overall, 7 studies reported referral decision‐making interventions including training programmes for health facility and community health workers, use of a triage checklist and focused obstetric ultrasound, which resulted in improved knowledge and practice of recognising danger signs for referral. 9 studies reported on referral communication using mobile phones and referral letters/notes, resulting in increased communication between facilities despite telecommunication network failures. Referral decision making and communication interventions achieved a perceived reduction in maternal mortality. 2 studies focused on referral feedback, which improved collaboration between health facilities.

Conclusion

There is limited evidence on how well referral interventions work in sub‐Saharan Africa, and limited consensus regarding the framework underpinning the expected change. This review has led to the proposition of a logic model that can serve as the base for future evaluations which robustly expose the (in)efficiency of referral interventions.

Smart Management of Malnutrition Using Local Foods: A Sustainable Initiative for Developing Countries

Malnutrition is one of the major challenges the developing world is currently facing, whether it is caused by climate change, terrorism and conflict, or demographic shifts. Poverty is the main cause of malnutrition in this part of the world, and no progress is possible without the alleviation of poverty to reduce malnutrition. Reducing household vulnerability and increasing household resilience is the pathway to sustainable malnutrition management. Malnutrition has been a major threat to the health and development of children in developing countries, presenting as high levels of micronutrient deficiencies, stunting, and global acute malnutrition. The rates of malnutrition of all forms are above the thresholds accepted by the WHO in some regions. To this end, the resilience program on achieving nutrition in a developing country through at-home learning activities for nutritional rehabilitation and dietary promotion (known as FARN) reported, in this case, successful results from both statements from beneficiaries and non-beneficiaries on the reduction and management of malnutrition in their health centers. FARN activity encourages the consumption of locally available foods not only to eradicate malnutrition but also to protect the ecosystem and sustainable nutrition security. This is much like the saying, “Give a man a fish and you feed him for a day. Teach a man to fish and you feed him for a lifetime” to the vulnerable people; parents' knowledge of their child's nutritional status and the use of local-based foods diets showed improvement, which is proof of the impact of the resilience program. It can be concluded that the resilience program through its activities at the level of the selected community significantly affected the factors and degree of persistence of malnutrition and the level of resilience of the populations. Thus, the FARN program showed resounding success in its ability to promote sustainable malnutrition management.

Improving health care facility birth rates in Rorya District, Tanzania: a multiple baseline trial

BACKGROUND

Rates of maternal mortality and morbidity in Africa remain unacceptably high, as many women deliver at home, without access to skilled birth attendants and life-saving medications. In rural Tanzania, women face significant barriers accessing health care facilities for their deliveries.

METHODS

From January 2017 to February 2019 we conducted a multiple baseline (interrupted time series) trial within the four divisions of Rorya District, Tanzania. We collected baseline data, then sequentially introduced a complex intervention in each of the divisions, in randomized order, over 3 month intervals. We allowed for a 6 month transition period to avoid contamination between the pre- and post-intervention periods. The intervention included using community health workers to educate about safe delivery, distribution of birth kits with misoprostol, and a transport subsidy for women living a distance from the health care facility. The primary outcome was the health facility birth rate, while the secondary outcomes were the rates of antenatal and postpartum care and postpartum hemorrhage. Outcomes were analyzed using fixed effects segmented logistic regression, adjusting for age, marital status, education, and parity. Maternal and baby morbidity/mortality were analyzed descriptively.

RESULTS

We analyzed data from 9565 pregnant women (2634 before and 6913 after the intervention was implemented). Facility births increased from 1892 (71.8%) before to 5895 (85.1%) after implementation of the intervention. After accounting for the secular trend, the intervention was associated with an immediate increase in the odds of facility births (OR = 1.51, 95% CI 1.14 to 2.01, p = 0.0045) as well as a small gradual effect (OR = 1.03 per month, 95% CI 1.00 to 1.07, p = 0.0633). For the secondary outcomes, there were no statistically significant immediate changes associated with the intervention. Rates of maternal and baby morbidity/mortality were low and similar between the pre- and post-implementation periods.

CONCLUSIONS

Access to health care facilities can be improved through implementation of education of the population by community health workers about the importance of a health care facility birth, provision of birth kits with misoprostol to women in late pregnancy, and access to a transport subsidy for delivery for women living at a distance from the health facility.

CLINICAL TRIALS REGISTRATION

NCT03024905 19/01/2017.

Co-creation and Evaluation of Nationwide Remote Training Service for Mental Health Education of Community Health Workers in Rwanda

Objective: Johnson & Johnson Global Public Health and the Ministry of Health of Rwanda strengthened the mental health awareness by providing an innovative, low-cost, easily accessible, and scalable remote training service (RTS) on mental health for Community Health Workers (CHWs).

Methods: The RTS consisted of eight training modules shared via simple feature phones over a 4-week period. Quiz questions and baseline/endline assessments were included to assess the feasibility and acceptability of the training platform, the knowledge and self-confidence gained by the CHWs, and prospects for the sustainability of the platform.

Results: Ninety-three percent of the CHWs completed at least four of the eight training modules, and 42% of the CHWs improved with a higher end score. The training content was considered interesting, easy to understand, and helpful to intervene appropriately to refer patients with signs of mental illness to a hospital and to provide community and family education on mental health topics.

Conclusion: The RTS is feasible and acceptable for the delivery of mental health training on a large scale and contributed to strengthening the capacity in delivering mental health care at community level.

Expanding telemedicine to reduce the burden on the healthcare systems and poverty in Africa for a post-coronavirus disease 2019 (COVID-19) pandemic reformation

The coronavirus disease 2019 (COVID-19) global public health emergency, has exposed the fragility of health systems. Access to healthcare became a scarce commodity as healthcare providers and resource-poor populations became victims of the novel corona virus. Therefore, this study focuses on Africa's readiness to integrate telemedicine into the weak health systems and its adoption may help alleviate poor healthcare and poverty after COVID-19. We conducted a narrative review through different search strategies in Scopus on January 20, 2021, to identify available literature reporting implementation of various telemedicine modes in Africa from January 1, 2011 to December 31, 2020. We summarized 54 studies according to geographies, field, and implementation methods. The results show a willingness to adopt telemedicine in the resource-poor settings and hard-to-reach populations, which will bring relief to the inadequate healthcare systems and alleviate poverty of those who feel the burden of healthcare cost the most. With adequate government financing, telemedicine promises to enhance the treating of communicable and non-communicable diseases as well as support health infrastructure. It can also alleviate poverty among vulnerable groups and hard-to-reach communities in Africa with adequate government financing. However, given the lack of funding in Africa, the challenges in implementing telemedicine require global and national strategies before it can yield promising results. This is especially true in regards to alleviating the multidimensionality of poverty in post-COVID-19 Africa.

Impact of a Multifaceted Intervention to Improve Emergency Care on Newborn and Child Health Outcomes in Rwanda

Implementing context-appropriate neonatal and pediatric advanced life support management interventions has increasingly been recommended as one of the approaches to reduce under-five mortality in resource-constrained settings like Rwanda. One such intervention is ETAT+, which stands for Emergency Triage, Assessment and Treatment plus Admission care for severely ill newborns and children. In 2013, ETAT+ was implemented in Rwandan district hospitals. We evaluated the impact of the ETAT+ intervention on newborn and child health outcomes. We used monthly time series data from the DHIS2-enabled Rwanda Health Management Information System from 2012 to 2016 to examine neonatal and pediatric hospital mortality rate. Each hospital contributed data for 12 and 36 months before and after ETAT+ implementation, respectively. Using controlled interrupted time series analysis and segmented regression model, we estimated longitudinal changes in neonatal and pediatric hospital mortality rate in intervention hospitals relative to matched concurrent control hospitals. We also studied changes in case fatality rate specifically for ETAT+ targeted conditions. Our study cohort consisted of seven intervention hospitals and fourteen matched control hospitals contributing 142,424 neonatal and pediatric hospital admissions. After controlling for secular trends and autocorrelation, we found that the ETAT+ implementation had no statistically significant impact on the rate of all-cause neonatal and pediatric hospital mortality in intervention hospitals relative to control hospitals. However, the case fatality rate for ETAT+ targeted neonatal conditions decreased immediately following implementation by 5% (95% CI: -9.25, -0.77) and over time by 0.8% monthly (95% CI: -1.36, -0.25), in intervention hospitals compared with control hospitals. Case fatality rate for ETAT+ targeted pediatric conditions did not decrease following the ETAT+ implementation. While ETAT+ focuses on improving quality of hospital care for both newborns and children, we only found an impact on neonatal hospital mortality for ETAT+ targeted conditions that should be interpreted with caution given the relatively short pre-intervention period and potential regression to the mean.

Impact of a free care policy on the utilisation of health services during an Ebola outbreak in the Democratic Republic of Congo: an interrupted time-series analysis

Background

During past outbreaks of Ebola virus disease (EVD) and other infectious diseases, health service utilisation declined among the general public, delaying health seeking behaviour and affecting population health. From May to July 2018, the Democratic Republic of Congo experienced an outbreak of EVD in Equateur province. The Ministry of Public Health introduced a free care policy (FCP) in both affected and neighbouring health zones. We evaluated the impact of this policy on health service utilisation.

Methods

Using monthly data from the national Health Management Information System from January 2017 to January 2019, we examined rates of the use of nine health services at primary health facilities: total visits; first and fourth antenatal care visits; institutional deliveries; postnatal care visits; diphtheria, pertussis and tetanus (DTP) vaccinations and visits for uncomplicated malaria, pneumonia and diarrhoea. We used controlled interrupted time series analysis with a mixed effects model to estimate changes in the rates of services use during the policy (June–September 2018) and afterwards.

Findings

Overall, use of most services increased compared to control health zones, including EVD affected areas. Total visits and visits for pneumonia and diarrhoea initially increased more than two-fold relative to the control areas (p<0.001), while institutional deliveries and first antenatal care increased between 20% and 50% (p<0.01). Visits for DTP, fourth antenatal care visits and postnatal care visits were not significantly affected. During the FCP period, visit rates followed a downward trend. Most increases did not persist after the policy ended.

Interpretation

The FCP was effective at rapidly increasing the use of some health services both EVD affected and not affected health zones, but this effect was not sustained post FCP. Such policies may mitigate the adverse impact of infectious disease outbreaks on population health.

Explaining the impact of mHealth on maternal and child health care in low- and middle-income countries: a realist synthesis

Background

Despite the growing global application of mobile health (mHealth) technology in maternal and child health, contextual factors, and mechanisms by which interventional outcomes are generated, have not been subjected to a systematic examination. In this study, we sought to uncover context, mechanisms, and outcome elements of various mHealth interventions based on implementation and evaluation studies to formulate theories or models explicating how mHealth interventions work (or not) both for health care providers and for pregnant women and mothers.

Method

We undertook a realist synthesis. An electronic search of five online databases (PubMed/Medline, Google Scholar, Scopus, Academic Search Premier and Health Systems Evidence) was performed. Using appropriate Boolean phrases terms and selection procedures, 32 articles were identified. A theory-driven approach, narrative synthesis, was applied to synthesize the data. Thematic content analysis was used to delineate elements of the intervention, including its context, actors, mechanisms, and outcomes. Abduction and retroduction were applied using a realist evaluation heuristic tool to formulate generative theories.

Results

We formulated two configurational models illustrating how and why mHealth impacts implementation and uptake of maternal and child health care. Implementation-related mechanisms include buy-in from health care providers, perceived support of health care providers’ motivation and perceived ease of use and usefulness. These mechanisms are influenced by adaptive health system conditions including organization, resource availability, policy implementation dynamics, experience with technology, network infrastructure and connectivity. For pregnant women and mothers, mechanisms that trigger mHealth use and consequently uptake of maternal and child health care include perceived satisfaction, motivation and positive psychological support. Information overload was identified as a potential negative mechanism impacting the uptake of maternal and child health care. These mechanisms are influenced by health system conditions, socio-cultural characteristics, socio-economic and demographics characteristics, network infrastructure and connectivity and awareness.

Conclusion

Models developed in this study provide a detailed understanding of implementation and uptake of mHealth interventions and how and why they impact maternal and child health care in low- and middle-income countries. These models provide a foundation for the ‘white box’ of theory-driven evaluation of mHealth interventions and can improve rollout and implementation where required.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12884-021-03684-x.

Willingness to Adopt mHealth Among Chinese Parents During the COVID-19 Outbreak: Cross-sectional Questionnaire Study

Background

Parental involvement in mobile health (mHealth) to consult with medical professionals appears to be prevalent in China with the rapid development of the internet. More parents with busy jobs have chosen to use mHealth. During the ongoing COVID-19 outbreak, mHealth can assist with health promotion, directions for medication use, and disease diagnosis via online chat and video consultation without contacting others. To our knowledge, no studies have been performed to explore the role of mHealth in parents’ attitudes toward child health care at home during the COVID-19 outbreak.

Objective

This study aims to identify the associated factors of willingness to adopt mHealth among Chinese parents during the COVID-19 outbreak and to explore the correlation between the frequency of adopting mHealth and parents’ attitudes toward child health care at home.

Methods

Chinese parents were asked to complete an online survey from January 25 to February 15, 2020. The questionnaire comprised of two parts with a total of 16 items, including parents’ demographic variables and attitudes toward child health care at home. By multivariate logistic regression, we explored factors associated with parents’ willingness to adopt mHealth during the COVID-19 outbreak. Pearson chi-square tests were used to reveal the correlation between the frequency of adopting mHealth and parents’ attitudes toward child health care at home.

Results

A total of 254 parents enrolled, and 202 (79.5%) parents were willing to adopt mHealth during the COVID-19 outbreak. Parents’ age (26-35 years: adjusted odds ratio [AOR] 8.114, 95% CI 1.471-44.764), parents’ interest in the COVID-19 pandemic (moderate: AOR 8.753, 95% CI 2.009-38.127; high: AOR 22.194, 95% CI 5.509-89.411), the source that recommended mHealth (medical health providers: AOR 4.257, 95% CI 1.439-12.596), the presence of chronic disease in their children (yes: AOR 20.844, 95% CI 4.600-94.443), parents’ duration of daily internet use (4-6 hours: AOR 6.487, 95% CI 1.870-22.495; >6 hours: AOR 8.766, 95% CI 1.883-40.804), and adoption of mHealth before the COVID-19 outbreak (yes: AOR 3.413, 95% CI 1.234-9.444) were significantly correlated with the parents’ willingness to adopt mHealth during the COVID-19 outbreak. The frequency of mHealth use among parents was correlated with their behaviors in regard to handwashing (χ²₆=18.967, P=.004), mask wearing (χ²₆=45.364, P<.001), frequency of leaving the home (χ²₆=16.767, P=.01), room disinfection and ventilation (χ²₆=19.515, P=.003), temperature checking (χ²₆=17.47, P=.007), and mental health care of children (χ²₆=63.810, P<.001) during the COVID-19 pandemic.

Conclusions

We found various objective factors that were associated with parents’ willingness to adopt mHealth during the COVID-19 outbreak. Overall, parents’ willingness to adopt mHealth was high. The frequency of mHealth use among parents was correlated with their attitudes toward child health care at home. The option of mHealth to patients at home during the COVID-19 outbreak would be beneficial for education and improvement in self-management of child health care at home.

Combining the theory of change and realist evaluation approaches to elicit an initial program theory of the MomConnect program in South Africa

Background

One of the Sustainable Development Goals is to reduce the global maternal mortality ratio to less than 70 per 100,000 live births by 2030. In South Africa, the flagship National Department of Health MomConnect program was launched in 2014 to strengthen the quality of maternal and child health (MCH) services and improve mortality outcomes. MomConnect was rapidly rolled out with a limited understanding of how and why the program was expected to work even though studies had shown the effectiveness of the MomConnect program in improving the uptake of MCH services. This study aimed to unearth the initial program theory of the MomConnect program based on explicit and implicit assumptions of how the program was organized and expected to work.

Methods

We conducted a document analysis using design- and implementation-related documents of the MomConnect program guided by the principles of Theory of Change (ToC) and Realist Evaluation (RE). Content and thematic analysis approaches were deductively applied to analyze the documents toward constructing ToC and RE-informed models. Abductive thinking and retroduction were further applied to the realist-informed approach to link program context, mechanisms, and outcomes to construct the initial program theory.

Results

ToC and RE-informed models illustrated how the MomConnect program was organized and expected to work. The process of constructing the ToC provided the platform for the development of the initial program theory, which identified three critical elements: (1) the central modalities of the MomConnect program; (2) the intended outcomes; and (3) the tentative causal links indicating, in a stepwise manner of, how the outcomes were intended to be achieved. The RE approach ‘enhanced’ the causal links by identifying relevant programmatic contexts and linking the postulated mechanisms of action (empowerment, encouragement, motivation, and knowledge acquisition) to program outcomes.

Conclusion

The application of ToC and RE provided an explicitly cumulative approach to knowledge generation in unveiling the initial program theory of MomConnect rather than delivering answers to questions of program effectiveness.

Digital Health Innovations, Tools, and Resources to Support Helping Babies Survive Programs

The Helping Babies Survive (HBS) initiative features a suite of evidence-based curricula and simulation-based training programs designed to provide health workers in low- and middle-income countries (LMICs) with the knowledge, skills, and competencies to prevent, recognize, and manage leading causes of newborn morbidity and mortality. Global scale-up of HBS initiatives has been rapid. As HBS initiatives rolled out across LMIC settings, numerous bottlenecks, gaps, and barriers to the effective, consistent dissemination and implementation of the programs, across both the pre- and in-service continuums, emerged. Within the first decade of expansive scale-up of HBS programs, mobile phone ownership and access to cellular networks have also concomitantly surged in LMICs. In this article, we describe a number of HBS digital health innovations and resources that have been developed from 2010 to 2020 to support education and training, data collection for monitoring and evaluation, clinical decision support, and quality improvement. Helping Babies Survive partners and stakeholders can potentially integrate the described digital tools with HBS dissemination and implementation efforts in a myriad of ways to support low-dose high-frequency skills practice, in-person refresher courses, continuing medical and nursing education, on-the-job training, or peer-to-peer learning, and strengthen data collection for key newborn care and quality improvement indicators and outcomes. Thoughtful integration of purpose-built digital health tools, innovations, and resources may assist HBS practitioners to more effectively disseminate and implement newborn care programs in LMICs, and facilitate progress toward the achievement of Sustainable Development Goal health goals, targets, and objectives.

Using routine health information data for research in low- and middle-income countries: a systematic review

BACKGROUND

Routine health information systems (RHISs) support resource allocation and management decisions at all levels of the health system, as well as strategy development and policy-making in many low- and middle-income countries (LMICs). Although RHIS data represent a rich source of information, such data are currently underused for research purposes, largely due to concerns over data quality. Given that substantial investments have been made in strengthening RHISs in LMICs in recent years, and that there is a growing demand for more real-time data from researchers, this systematic review builds upon the existing literature to summarize the extent to which RHIS data have been used in peer-reviewed research publications.

METHODS

Using terms 'routine health information system', 'health information system', or 'health management information system' and a list of LMICs, four electronic peer-review literature databases were searched from inception to February 202,019: PubMed, Scopus, EMBASE, and EconLit. Articles were assessed for inclusion based on pre-determined eligibility criteria and study characteristics were extracted from included articles using a piloted data extraction form.

RESULTS

We identified 132 studies that met our inclusion criteria, originating in 37 different countries. Overall, the majority of the studies identified were from Sub-Saharan Africa and were published within the last 5 years. Malaria and maternal health were the most commonly studied health conditions, although a number of other health conditions and health services were also explored.

CONCLUSIONS

Our study identified an increasing use of RHIS data for research purposes, with many studies applying rigorous study designs and analytic methods to advance program evaluation, monitoring and assessing services, and epidemiological studies in LMICs. RHIS data represent an underused source of data and should be made more available and further embraced by the research community in LMIC health systems.

Routine Health Information System (RHIS) improvements for strengthened health system management

BACKGROUND

A well-functioning routine health information system (RHIS) can provide the information needed for health system management, for governance, accountability, planning, policy making, surveillance and quality improvement, but poor information support has been identified as a major obstacle for improving health system management.

OBJECTIVES

To assess the effects of interventions to improve routine health information systems in terms of RHIS performance, and also, in terms of improved health system management performance, and improved patient and population health outcomes.

SEARCH METHODS

We searched the Cochrane Central Register of Controlled Trials (CENTRAL) in the Cochrane Library, MEDLINE Ovid and Embase Ovid in May 2019. We searched Global Health, Ovid and PsycInfo in April 2016. In January 2020 we searched for grey literature in the Grey Literature Report and in OpenGrey, and for ongoing trials using the International Clinical Trials Registry Platform (ICTRP) and ClinicalTrials.gov. In October 2019 we also did a cited reference search using Web of Science, and a 'similar articles' search in PubMed.

SELECTION CRITERIA

Randomised and non-randomised trials, controlled before-after studies and time-series studies comparing routine health information system interventions, with controls, in primary, hospital or community health care settings. Participants included clinical staff and management, district management and community health workers using routine information systems.

DATA COLLECTION AND ANALYSIS

Two authors independently reviewed records to identify studies for inclusion, extracted data from the included studies and assessed the risk of bias. Interventions and outcomes were too varied across studies to allow for pooled risk analysis. We present a 'Summary of findings' table for each intervention comparisons broadly categorised into Technical and Organisational (or a combination), and report outcomes on data quality and service quality. We used the GRADE approach to assess the certainty of the evidence.

MAIN RESULTS

We included six studies: four cluster randomised trials and two controlled before-after studies, from Africa and South America. Three studies evaluated technical interventions, one study evaluated an organisational intervention, and two studies evaluated a combination of technical and organisational interventions. Four studies reported on data quality and six studies reported on service quality. In terms of data quality, a web-based electronic TB laboratory information system probably reduces the length of time to reporting of TB test results, and probably reduces the overall rate of recording errors of TB test results, compared to a paper-based system (moderate certainty evidence). We are uncertain about the effect of the electronic laboratory information system on the recording rate of serious (misidentification) errors for TB test results compared to a paper-based system (very low certainty evidence). Misidentification errors are inaccuracies in transferring test results between an electronic register and patients' clinical charts. We are also uncertain about the effect of the intervention on service quality (timeliness of starting or changing a patient's TB treatment) (very low certainty evidence). A hand-held electronic device probably improves the length of time to report TB test results, and probably reduces the total frequency of recording errors in TB test results between the laboratory notebook and the electronic information record system, compared to a paper-based system (moderate-certainty evidence). We are, however, uncertain about the effect of the intervention on the frequency of serious (misidentification) errors in recording between the laboratory notebook and the electronic information record, compared to a paper-based system (very low certainty evidence). We are uncertain about the effect of a hospital electronic health information system on service quality (length of time outpatients spend at hospital, length of hospital stay, and hospital revenue collection), compared to a paper-based system (very low certainty evidence). High-intensity brief text messaging (SMS) may make little or no difference to data quality (in terms of completeness of documentation of pregnancy outcomes), compared to low-intensity brief text messaging (low-certainty evidence). We are uncertain about the effect of electronic drug stock notification (with either data management support or product transfer support) on service quality (in terms of transporting stock and stock levels), compared to paper-based stock notification (very low certainty evidence). We are uncertain about the effect of health information strengthening (where it is part of comprehensive service quality improvement intervention) on service quality (health worker motivation, receipt of training by health workers, health information index scores, quality of clinical observation of children and adults) (very low certainty evidence).

AUTHORS' CONCLUSIONS

The review indicates mixed effects of mainly technical interventions to improve data quality, with gaps in evidence on interventions aimed at enhancing data-informed health system management. There is a gap in interventions studying information support beyond clinical management, such as for human resources, finances, drug supply and governance. We need to have a better understanding of the causal mechanisms by which information support may affect change in management decision-making, to inform robust intervention design and evaluation methods.

Improving Child Survival in Sub-Saharan Africa: Key Environmental and Nutritional Interventions

Many countries in Sub-Saharan Africa (SSA), did not achieve the Millennium Development Goal 4 target of reducing under-five mortality by two-thirds between 1990 and 2015. A large proportion of under-five deaths in SSA and other developing regions have been attributed to undernutrition and poor household environmental conditions. Failure to address nutritional deficit and household environmental pollution in SSA will therefore likely result in many countries not meeting the Sustainable Development Goal (SDG) 3.2 target which aims to reduce under-five mortality to less than 25 deaths per 1000 livebirths by 2030. This paper pinpoints the nutritional and environmental threats to child health in SSA, and identify interventions that will work best to improve child survival in countries. It is important to broaden the spectrum of interventions for improving child survival beyond health systems strengthening to enable countries meet the SDG 3.2 target. The following interventions are thus proposed: strengthening child welfare clinics through digital technologies; investment in school feeding programmes; addressing household air pollution; and improving water, sanitation and hygiene (WASH) services in basic schools. There are certainly barriers to effective implementation of the proposed interventions in countries but are surmountable with strong political will and involvement of the private sector.

Determinants of technology use for a mobile health intervention across public health facilities in rural India: Protocol for implementation research

This paper presents a research protocol for implementation research (IR) to investigate contextual factors influencing the implementation of ASMAN mobile health intervention and their association with maternal, newborn, and child health outcomes. The IR will cover roughly 16-20 public health facilities across the states of Rajasthan and Madhya Pradesh in India. These facilities will be a sub-sample of 49 facilities covered separately under the outcome evaluation. The study employs a longitudinal mixed-methods multiple case study design with sequential data collection using constructs under the Consolidated Framework for Implementation Research (CFIR) across two phases. The first phase will be exploratory and use qualitative inquiry to contextualize the CFIR constructs. The second phase will employ a mixed-methods explanatory design with both validated and contextualized CFIR constructs and standard quantitative measures collected through outcome evaluation. Findings from this study will provide insights into factors that facilitate or impede the implementation of mobile health interventions and their association with MNCH outcomes in public health facilities in India.

mHealth Apps Assessment among Postpartum Women with Obesity and Depression

BACKGROUND

Pregnancy has become the main constituent for women to become overweight or obese during the postpartum phase. This could lead women to suffer from postpartum depression as well. Information technology (IT) has become more prevalent in the healthcare industry. It offers patients the opportunity to manage their health conditions via the use of several applications, one being the mHealth applications.

OBJECTIVE

The main purpose of this study is to experiment and understand the effects the mHealth applications (i.e., fitness and nutrition applications) have on the body mass index (BMI) and depression levels amongst postpartum women.

METHODS

Online questionnaires were sent to postpartum women within one year after their pregnancy, of which 819 completed questionnaires were returned. The frequency of the mHealth applications usage was categorized into daily, weekly, rarely and never streams. Therefore, the frequency of use of the mHealth applications for BMI and depression levels was analyzed based on the available statistical data. Descriptive statistics, ANOVA, and Dunnet tests were applied to analyze the experimental data.

RESULTS

Out of 819 respondents, 37.9% and 42.1% of them were overweight and obese, respectively. Almost 32.9% of the respondents were likely depressed, and 45.6% were at an increased risk. This study reports that only 23.4% and 28.6% of respondents never used the fitness and nutrition applications. The impact of the frequency of using the fitness applications on BMI and depression levels was obvious. This means that with the increased use of the fitness applications, there was also a significant effect in maintaining and decreasing the BMI and depression levels amongst Malaysians postpartum women. However, from the data of weekly and daily use of fitness applications, we found that the contribution toward the BMI and depression levels was high (p = 0.000). However, nutrition applications amongst the users were not significant within the main variables (p > 0.05). From the Dunnet test, the significance of using the fitness applications within the depression levels started from daily usage, whereas for BMI, it started from weekly usage.

CONCLUSION

The efficiency of the fitness applications toward the BMI and depression levels has been proven in this research work. While nutrition applications did not affect the BMI and depression levels, some of the respondents were still categorized as weekly and daily users. Thus, the improvements in BMI and depression levels are associated with the types of mHealth app that had been used.

Effects of scaling up various community-level interventions on child mortality in Burundi, Kenya, Rwanda, Uganda and Tanzania: a modeling study

BACKGROUND

Improving child health remains one of the most significant health challenges in sub-Saharan Africa, a region that accounts for half of the global burden of under-five mortality despite having approximately 13% of the world population and 25% of births globally. Improving access to evidence-based community-level interventions has increasingly been advocated to contribute to reducing child mortality and, thus, help low-and middle-income countries (LMICs) achieve the child health related Sustainable Development Goal (SDG) target. Nevertheless, the coverage of community-level interventions remains suboptimal. In this study, we estimated the potential impact of scaling up various community-level interventions on child mortality in five East African Community (EAC) countries (i.e., Burundi, Kenya, Rwanda, Uganda and the United Republic of Tanzania).

METHODS

We identified ten preventive and curative community-level interventions that have been reported to reduce child mortality: Breastfeeding promotion, complementary feeding, vitamin A supplementation, Zinc for treatment of diarrhea, hand washing with soap, hygienic disposal of children's stools, oral rehydration solution (ORS), oral antibiotics for treatment of pneumonia, treatment for moderate acute malnutrition (MAM), and prevention of malaria using insecticide-treated nets and indoor residual spraying (ITN/IRS). Using the Lives Saved Tool, we modeled the impact on child mortality of scaling up these 10 interventions from baseline coverage (2016) to ideal coverage (99%) by 2030 (ideal scale-up scenario) relative to business as usual (BAU) scenario (forecasted coverage based on prior coverage trends). Our outcome measures include number of child deaths prevented.

RESULTS

Compared to BAU scenario, ideal scale-up of the 10 interventions could prevent approximately 74,200 (sensitivity bounds 59,068-88,611) child deaths by 2030 including 10,100 (8210-11,870) deaths in Burundi, 10,300 (7831-12,619) deaths in Kenya, 4350 (3678-4958) deaths in Rwanda, 20,600 (16049-25,162) deaths in Uganda, and 28,900 (23300-34,002) deaths in the United Republic of Tanzania. The top four interventions (oral antibiotics for pneumonia, ORS, hand washing with soap, and treatment for MAM) account for over 75.0% of all deaths prevented in each EAC country: 78.4% in Burundi, 76.0% in Kenya, 81.8% in Rwanda, 91.0% in Uganda and 88.5% in the United Republic of Tanzania.

CONCLUSIONS

Scaling up interventions that can be delivered at community level by community health workers could contribute to substantial reduction of child mortality in EAC and could help the EAC region achieve child health-related SDG target. Our findings suggest that the top four community-level interventions could account for more than three-quarters of all deaths prevented across EAC countries. Going forward, costs of scaling up each intervention will be estimated to guide policy decisions including health resource allocations in EAC countries.

Effect of a community health worker mHealth monitoring system on uptake of maternal and newborn health services in Rwanda

Background

In an effort to improve access to proven maternal and newborn health interventions, Rwanda implemented a mobile phone (mHealth) monitoring system called RapidSMS. RapidSMS was scaled up across Rwanda in 2013. The objective of this study was to evaluate the impact of RapidSMS on the utilization of maternal and newborn health services in Rwanda.

Methods

Using data from the 2014/15 Rwanda demographic and health survey, we identified a cohort of women aged 15–49 years who had a live birth that occurred between 2010 and 2014. Using interrupted time series design, we estimated the impact of RapidSMS on uptake of maternal and newborn health services including antenatal care (ANC), health facility delivery and vaccination coverage.

Results

Overall, the coverage rate at baseline for ANC (at least one visit), health facility delivery and vaccination was very high (> 90%). The baseline rate was 50.30% for first ANC visit during the first trimester and 40.57% for at least four ANC visits. We found no evidence that implementing RapidSMS was associated with an immediate increase in ANC (level change: -1.00% (95% CI: -2.30 to 0.29) for ANC visit at least once, -1.69% (95% CI: -9.94 to 6.55) for ANC (at least 4 visits), -3.80% (95% CI: -13.66 to 6.05) for first ANC visit during the first trimester), health facility delivery (level change: -1.79, 95% CI: -6.16 to 2.58), and vaccination coverage (level change: 0.58% (95%CI: -0.38 to 1.55) for BCG, -0.75% (95% CI: -6.18 to 4.67) for polio 0). Moreover, there was no significant trend change across the outcomes studied.

Conclusion

Based on survey data, the implementation of RapidSMS did not appear to increase uptake of the maternal and newborn health services we studied in Rwanda. In most instances, this was because the existing level of the indicators we studied was very high (ceiling effect), leaving little room for potential improvement. RapidSMS may work in contexts where improvement remains to be made, but not for indicators that are already very high. As such, further research is required to understand why RapidSMS had no impact on indicators where there was enough room for improvement.