The Effect of a Community Health Worker Utilized Mobile Health Application on Maternal Health Knowledge and Behavior: A Quasi-Experimental Study

Digital tracking, provider decision support systems, and targeted client communication via mobile devices to improve primary health care

BACKGROUND

Digital tracking on mobile devices, combined with clinical decision support systems and targeted client communication, can facilitate service delivery and potentially improve outcomes.

OBJECTIVES

To assess the effects of using a mobile device to track service use when combined with clinical decision support (Tracking + CDSS), with targeted client communications (Tracking + TCC), or both (Tracking + CDSS + TCC).

SEARCH METHODS

Cochrane CENTRAL, MEDLINE, Embase, Ovid Population Information Online (POPLINE), K4Health and WHO Global Health Library (2000 to November 2022).

SELECTION CRITERIA

Randomised and non-randomised trials in community/primary care settings.

PARTICIPANTS

primary care providers and clients Interventions: 1. Tracking + CDSS 2. Tracking + TCC 3. Tracking + CDSS + TCC Comparators: usual care (without digital tracking) DATA COLLECTION AND ANALYSIS: Two authors independently screened trials, extracted data and assessed risk of bias using the RoB 1 tool. We used a random-effects model to meta-analyse data producing risk differences (RD), risk ratios (RR), or odds ratios (OR) for dichotomous outcomes and mean differences (MD) for continuous outcomes. Evidence certainty was assessed using GRADE.

MAIN RESULTS

We identified 18 eligible studies (11 randomised, seven non-randomised) conducted in Bangladesh, China, Ethiopia, India, Kenya, Palestine, Uganda, and the USA. All non-randomised studies had a high risk of bias. These results are from randomised studies. 'Probably/may/uncertain' indicates 'moderate/low/very low' certainty evidence. Tracking + CDSS Relating to antenatal/ postnatal care: Providers' adherence to recommendations May slightly increase home visits in the week following delivery (2 studies, 4531 participants; RD 0.10 [0.07, 0.14]) May slightly increase counselling for initiating complementary feeding (2 studies, 4397 participants; RD 0.12 [0.08, 0.15]) May slightly increase the mean number of home visits in the month following delivery (1 study, 3023 participants; MD 0.75 [0.47, 1.03]) Uncertain effect on home visits within 24 hours of delivery Clients' health behaviours May slightly increase skin-to-skin care (1 study, 1544 participants; RD 0.05 [0.00, 0.10]) May slightly increase early breastfeeding (2 studies, 4540 participants; RD 0.08 [0.05, 0.12]) Uncertain effects on applying nothing to the umbilical cord, taking ≥ 90 iron-folate tablets during pregnancy, exclusively breastfeeding for six months, delaying the newborn's bath at least two days and Kangaroo Mother Care. Clients' health status May reduce low birthweight babies (1 study, 3023 participants; RR 0.53 [0.38, 0.73]) May increase infants with pneumonia or fever seeking care (1 study, 3470 participants; RR 1.13 [1.03, 1.24]) Uncertain effects on stillbirths, neonatal and infant deaths, or testing positive for HIV during antenatal testing Tracking + TCC Clients' health status In stroke patients over 12 months: May slightly increase blood pressure (BP) medication adherence (1 study, 1226 participants; RR 1.10 [1.00, 1.21]) May reduce deaths (1 study, 1226 participants; RR 0.52 [0.28, 0.96]) May slightly reduce systolic BP (1 study, 1226 participants; MD -2.80 mmHg [-4.90, -0.70]) May slightly improve EQ-5D scores (1 study, 1226 participants; MD 0.04 [0.02, 0.06]) May reduce stroke hospitalisations (1 study, 1226 participants; RR 0.45 [0.32, 0.64]). Tracking + CDSS + TCC Providers' adherence to recommendations Probably increases guideline adherence for antenatal screening and management of anaemia (1 study, 10,502 participants; OR 1.88 [1.52, 2.32]), diabetes (1 study, 8669 participants; OR 1.45 [1.14, 1.84}), hypertension (1 study, 15,555 participants; OR 1.62 [1.29, 2.04]) and probably leads to lower adherence for abnormal foetal growth (1 study, 1165 participants; OR 0.59 [0.37, 0.95]). May slightly increase nevirapine prophylaxis in infants of HIV+ve mothers (1 study, 609 participants; OR 1.75 [0.73, 4.19]) Data quality In pregnant women (1 study, 6367 participants), tracking + CDSS + TCC: Probably slightly reduces missing data for haemoglobin (RR 0.77 [0.71, 0.84]) but slightly more for BP at delivery (RR 1.16 [1.08, 1.24]) May have little or no effect on missing data on gestational age (RR 0.96 [0.81, 1.14]) or birthweight (RR 0.90 [0.77, 1.04]) Clients' health behaviour May have little or no effect on being on anti-retroviral therapy at delivery (1 study, 438 participants; OR 1.41 [0.81, 2.45]) or exclusive breastfeeding for six months (1 study, 695 participants; OR 1.74 [0.95, 3.17]) in HIV+ve mothers Uncertain effects on physical activity in high cardiovascular-risk adults Clients' health status May reduce the number of deaths in patients with hypertension and diabetes (1 study, 3698 participants; OR 0.61 [0.35, 1.06]) May reduce new cardiovascular events in high-cardiovascular risk adults over 6-18 months (1 study, 8642 participants; OR 0.58 [0.42, 0.80}) May slightly decrease in antenatal women severe hypertension, but the confidence interval includes both a decrease and increase (1 study, 6367 participants; OR 0.61 [0.27, 1.37]) In women receiving antenatal care (1 study, 6367 participants), tracking + CDSS + TCC maymake little or no difference to adverse pregnancy outcomes (OR 0.99 [0.87, 1.12]), moderate or severe anaemia (OR 0.82 [0.51, 1.31]), or large-for-gestational-age babies (OR 1.06 [0.90, 1.25]). In adults with hypertension or diabetes (1 study, 3324 participants), tracking + CDSS + TCC maymake little or no difference to HbA1c (MD 0.08 [-0.27, 0.43]), total cholesterol (MD -2.50 [-7.10, 2.10]), 10-year cardiovascular risk (MD -0.40 [-2.30, 1.50]), tobacco use (MD-0.05 [-0.47, 0.37]), alcohol use (MD 0.70 [-3.70, 5.10]), or PHQ-9 (MD -1.60 [-4.40, 1.20]). Uncertain effects on maternal or infant mortality before the baby reaches 18 months in HIV-positive mothers, patients who achieve optimal BP, BP controlled at five years, diastolic or systolic BP, body mass index, fasting glucose and quality of life in adults with hypertension or diabetes Client service utilisation May have little or no effect on missed early infant diagnosis visits (1 study, 1183 participants; OR 0.92 [0.63, 1.35]). Uncertain effects on linkage to care Client satisfaction Probably increases slightly the number of adults with hypertension or diabetes reporting "slightly/much better" change in the quality of care (1 study, 3324 participants; RR 1.02 [1.00, 1.03]). No studies evaluated time between presentation and appropriate management, timeliness of receiving/accessing care, provider acceptability/satisfaction, resource use, or unintended consequences.

AUTHORS' CONCLUSIONS

Digital tracking may improve primary care workers' ability to follow recommended antenatal and chronic disease practices, quality of patient records, patient health outcomes and service use. However, these interventions led to small or no outcome differences in most studies.

Challenges in rural maternal health: how received public services and policy awareness affect health knowledge and practices

Purpose

This study evaluates the effectiveness of rural maternal health services in improving pregnant women's health knowledge, practices, and outcomes in northwestern China, focusing on the roles of received public services and policy awareness.

Methods

Baseline surveys were conducted in rural Shaanxi Province in 2021 and 2023, involving 1,152 pregnant women from 85 townships, selected via multistage cluster random sampling. Data were collected through structured face-to-face interviews, covering health knowledge and behaviors. Statistical analyses were performed to assess the impact of maternal health services.

Results

Both received public services (Coefficient: 0.130, 95% CI: 0.015-0.246) and policy awareness (Coefficient: 0.114, 95% CI: 0.001-0.227) significantly improved nutrition and health knowledge but had limited impact on prenatal checkups or health outcomes. Policy awareness (OR: 3.826, 95% CI: 2.743-5.337) significantly increased picking up free folic acid, however, the rate of taking folic acid remained low.

Conclusion

While received public services and policy awareness improved nutrition and health knowledge, and policy awareness increased picking up free folic acid, they did not significantly influence prenatal checkups or health outcomes. More targeted efforts are needed to foster consistent health practices and improve maternal health outcomes in rural areas.

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.

Going the extra mile: Developing an interactive mobile application for maternal and infant care for tribal birth attendants

Background

Mobile health applications are an established tool for healthcare management, patient education, and even capacity building for healthcare providers. However, its use among traditional birth attendants (TBAs) is limited. The aim of this study is to explore the needs and bottlenecks of developing an interactive mobile application for maternal and infant care (MAI) of TBAs.

Materials and Methods

It is a qualitative study having in-depth interviews (face-to-face approach) conducted among the seekers of MAI services. Setting: This study is conducted in tribal and rural locations in the district Sirohi, Rajasthan. Participants: TBAs and tribal females of reproductive age in tribal-dominated areas have participated. The development of an interactive mobile application MAI has three phases: (1) a need-based approach to identify the needs on the ground; (2) identifying intervention bottlenecks and possible solutions; (3) design and development of the mobile application.

Results

Ninety-six tribal females of reproductive age participated in the needs assessment. Eighty percent of them were ≤ 30 years of age and 40% of them were uneducated. Most participants informed that lack of information (culturally/locally appropriate content), peer advocacy, affordability, lack of transportation, and the influence of TBAs are the significant factors for less uptake of maternity and child health services in the tribal and rural areas.

Conclusion

The MAI app has culturally/locally appropriate content and is prepared by the local TBAs and Accredited Social Health Activists, with full local character and clothing. MAI app has videos and audio in the local language (Marwari) with pictorial quizzes. Using the MAI app, TBAs may self-educate and guide tribal pregnant women about maternal hygiene and infant healthcare as needed at various stages of pregnancy and childbirth.

Inequity in the face of success: understanding geographic and wealth-based equity in success of facility-based delivery for under-5 mortality reduction in six countries

BACKGROUND

Between 2000-2015, many low- and middle-income countries (LMICs) implemented evidence-based interventions (EBIs) known to reduce under-5 mortality (U5M). Even among LMICs successful in reducing U5M, this drop was unequal subnationally, with varying success in EBI implementation. Building on mixed methods multi-case studies of six LMICs (Bangladesh, Ethiopia, Nepal, Peru, Rwanda, and Senegal) leading in U5M reduction, we describe geographic and wealth-based equity in facility-based delivery (FBD), a critical EBI to reduce neonatal mortality which requires a trusted and functional health system, and compare the implementation strategies and contextual factors which influenced success or challenges within and across the countries.

METHODS

To obtain equity gaps in FBD coverage and changes in absolute geographic and wealth-based equity between 2000-2015, we calculated the difference between the highest and lowest FBD coverage across subnational regions and in the FBD coverage between the richest and poorest wealth quintiles. We extracted and compared contextual factors and implementation strategies associated with reduced or remaining inequities from the country case studies.

RESULTS

The absolute geographic and wealth-based equity gaps decreased in three countries, with greatest drops in Rwanda - decreasing from 50 to 5% across subnational regions and from 43 to 13% across wealth quintiles. The largest increases were seen in Bangladesh - from 10 to 32% across geography - and in Ethiopia - from 22 to 58% across wealth quintiles. Facilitators to reducing equity gaps across the six countries included leadership commitment and culture of data use; in some countries, community or maternal and child health insurance was also an important factor (Rwanda and Peru). Barriers across all the countries included geography, while country-specific barriers included low female empowerment subnationally (Bangladesh) and cultural beliefs (Ethiopia). Successful strategies included building on community health worker (CHW) programs, with country-specific adaptation of pre-existing CHW programs (Rwanda, Ethiopia, and Senegal) and cultural adaptation of delivery protocols (Peru). Reducing delivery costs was successful in Senegal, and partially successful in Nepal and Ethiopia.

CONCLUSION

Variable success in reducing inequity in FBD coverage among countries successful in reducing U5M underscores the importance of measuring not just coverage but also equity. Learning from FBD interventions shows the need to prioritize equity in access and uptake of EBIs for the poor and in remote areas by adapting the strategies to local context.

Mapping the Role of Digital Health Interventions to Enhance Effective Coverage of Antenatal Care: A Scoping Review

Background

Antenatal care (ANC) is a core component of maternal health services. However, only half of the pregnant women in LMICs obtain WHO recommended minimum of four antenatal contacts. In addition, ANC 4+ is a commonly used indicator in monitoring ANC utilization. However, contact coverage alone provides no indications of service quality. In recent years, digital health interventions bring opportunities to provide quality maternal health care. Yet, there are few reviews on how digital health interventions contribute to improving effective coverage of antenatal care. A rigorous review that examines the role of digital health interventions in improving effective coverage of antenatal care is needed to examine how digital health solutions were rapidly deployed to support quality antenatal care service delivery.

Objective

This review aimed to map evidence on the role of digital health solutions on quality of antenatal care service to enhance effective ANC coverage.

Methods

A scoping review approach was used and four Databases (PubMed, Cochrane Library, Scopus and Embase) as well as search engines like Advanced Google Search and Google Scholar were searched from September 1 to 8, 2022. Thematic content analysis was used to present the findings.

Results

A total of 1701 articles were searched. A total of 27 full-text studies were included in the final analysis. The most reported use of digital health was for client education and behavior change communication. Most studies showed that digital health interventions have proven effective in improving antenatal care. However, most of the studies did not address to assess the quality of ANC services.

Conclusion

In this review, we found out that digital health solutions targeted at pregnant women can improve antenatal care services. There is body of evidence showing the effectiveness of digital health interventions on a range of maternal health outcomes. Few pieces of literature exist on the use of digital health interventions on the quality of antenatal care services. There is a need for more trial and program evaluation studies that examine the role of digital health interventions on the quality of ANC.

Technologies that empower women for better access to healthcare in India - A scoping review

Women from low- and middle-income countries face challenges in accessing and utilising quality healthcare. Technologies can aid in overcoming these challenges and the present scoping review is aimed at summarising the range of technologies used by women and assessing their role in enabling Indian women to learn about and access healthcare services. We conducted a comprehensive search from the date of inception of database till 2022 in PubMed and Google Scholar. Data was extracted from 43 studies and were thematically analysed. The range of technologies used by Indian women included integrated voice response system, short message services, audio-visual aids, telephone calls and mobile applications operated by health workers. Majority of the studies were community-based (79.1%), from five states (60.5%), done in rural settings (58.1%) and with interventional design (48.8%). Maternal and child health has been the major focus of studies, with lesser representation in domains of non-communicable and communicable diseases. The review also summarised barriers related to using technology - from health system and participant perspective. Technology-based interventions are enabling women to improve awareness about and accessibility to healthcare in India. Imparting digital literacy and scaling up technology use are potential solutions to scale-up healthcare access among women in India.

Applying the principles for digital development to improve maternal and child health in the Peri-urban areas of Karachi, Pakistan

Low- middle-income countries, including Pakistan, are facing significant obstacles in their efforts to achieve the global targets for maternal, newborn, and child health (MNCH) defined by the Sustainable Development Goals. Barriers at the individual, health system, and contextual levels undermine healthcare access for pregnant women and children, disproportionately affecting those in low-resource settings. To address these challenges in the high-mortality, peri-urban areas of Karachi, VITAL Pakistan Trust and Aga Khan University launched a digital health intervention (DHI) to stimulate demand for health services and streamline care management for health workers at the primary care level. In this case study, we present a narrative review of the design, development, and deployment of the DHI, an Android-based application, in accordance with the Principles for Digital Development. We draw on the initial experience with implementation to reflect on how each of the nine Principles was considered during different phases of the project lifecycle, focusing on the lessons learned and challenges encountered during this process. By engaging with end-users and understanding the community, we were able to map existing relationships and workflows onto a digital platform to address major challenges hindering service delivery. Leveraging insights from field observations and user feedback, we collaborated with experts in healthcare and technology to develop the DHI, which has now scaled to 44 peri-urban settlements in Karachi. Our experience underscores the value of substantiated frameworks like the Principles. However, on-ground challenges reveal important caveats requiring further assessment. These include building community trust in new digital systems and ensuring the ethical use of health data, particularly in low digital and data literacy contexts. Based on this understanding, we share recommendations for conditions central to the effective integration and uptake of technology in healthcare, specifically within the context of digital health for MNCH.

The Health Impact of mHealth Interventions in India: Systematic Review and Meta-Analysis

Background

Considerable use of mobile health (mHealth) interventions has been seen, and these interventions have beneficial effects on health and health service delivery processes, especially in resource-limited settings. Various functionalities of mobile phones offer a range of opportunities for mHealth interventions.

Objective

This review aims to assess the health impact of mHealth interventions in India.

Methods

This systematic review and meta-analysis was conducted in accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. Studies conducted in India, and published between April 1, 2011, and March 31, 2021, were considered. A literature search was conducted using a combination of MeSH (Medical Subject Headings) terms in different databases to identify peer-reviewed publications. Thirteen out of 1350 articles were included for the final review. Risk of bias was assessed using the Risk of Bias 2 tool for RCTs and Risk Of Bias In Non-randomised Studies - of Interventions tool (for nonrandomized trials), and a meta-analysis was performed using RevMan for 3 comparable studies on maternal, neonatal, and child health.

Results

The meta-analysis showed improved usage of maternal and child health services including iron-folic acid supplementation (odds ratio [OR] 14.30, 95% CI 6.65-30.75), administration of both doses of the tetanus toxoid (OR 2.47, 95% CI 0.22-27.37), and attending 4 or more antenatal check-ups (OR 1.82, 95% CI 0.65-5.09). Meta-analysis for studies concerning economic evaluation and chronic diseases could not be performed due to heterogeneity. However, a positive economic impact was observed from a societal perspective (ReMiND [reducing maternal and newborn deaths] and ImTeCHO [Innovative Mobile Technology for Community Health Operation] interventions), and chronic disease interventions showed a positive impact on clinical outcomes, patient and provider satisfaction, app usage, and improvement in health behaviors.

Conclusions

This review provides a comprehensive overview of mHealth technology in all health sectors in India, analyzing both health and health care usage indicators for interventions focused on maternal and child health and chronic diseases.

Trial Registration

PROSPERO 2021 CRD42021235315; https://tinyurl.com/yh4tp2j7.

Situational Analysis of Healthcare Delivery and User Perspectives of Mobile Diagnostics (mDiagnostics) in Chennai, Tamil Nadu, India: A Mixed-Method Study

Introduction Situational analysis of exciting infrastructure including mobile health services is crucial for comprehensive healthcare delivery. The concept of mDiagnostics has gained traction as it addresses the challenges of accessibility, affordability, and availability of healthcare services in remote regions. Purpose The study was to do a situational analysis of the availability of medical diagnostic facilities and identify the challenges and barriers faced in the implementation and utilisation of mDiagnostics. Material and methods The present study was a mixed mixed-method study conducted in rural and urban areas of Chennai, Tamil Nadu, India. A total of 1,489 households were included. Situational analysis of existing healthcare facilities and the availability of Ayushman Bharat Health Account (ABHA) numbers for study participants in both urban and rural areas was assessed. In-depth interviews on user perspective, affordability, awareness of existing health services, and perception of the utility of mobile lab services and focus group discussions with healthcare professionals, community members, and key stakeholders were carried out. Thematic analysis for qualitative data, proportion, and means were calculated for the quantitative component. Result Out of 1,489 households included, 711 were from rural areas, and 778 were from urban areas. The distance traveled from their residence to both the lab and health facility was less than 5 km in urban areas, while it is more than 5 km in rural areas. The mean expenditure in availing healthcare services is above five thousand rupees per annum in nearly half of the rural households (46%) and 60% of urban. The analyses of interviews explored the availability, acceptability, and affordability under seven thematic areas for situational analysis of healthcare facilities, and a focused group discussion was held to explore the community member's barrier to healthcare services. Conclusion The study reveals a comprehensive understanding of healthcare delivery access disparities between rural and urban areas in Tamil Nadu. The findings highlighted the potential benefits of mobile lab initiatives in improving healthcare access and early disease detection in underserved rural communities.

Exploring Perceptions and Needs of Mobile Health Interventions for Nutrition, Anemia, and Preeclampsia among Pregnant Women in Underprivileged Indian Communities: A Cross-Sectional Survey

According to the National Family Health Survey of 2021, about 57% of women aged 15-49 in India currently suffer from anemia, marking a significant increase from the 53% recorded in 2016. Similarly, a study conducted in southern India reported a 32.60% prevalence of preeclampsia. Several community-based initiatives have been launched in India to address these public health challenges. However, these interventions have yet to achieve the desired results. Could the challenges faced by traditional healthcare interventions be overcome through a technological leap? This study assesses pregnant mothers' perceptions regarding mobile health interventions for managing anemia and preeclampsia. Additionally, the study captures their health awareness and knowledge. We conducted a survey with 131 pregnant mothers in three underserved villages in Jharkhand, India. Statistical analysis was conducted using the SEMinR package in R (Version 2023.06.0), utilizing the non-parametric partial least squares-structural equation modeling. We found that every household had at least one smartphone, with the respondents being the primary users. The main uses of smartphones were for calling, messaging, and social media. A total of 61% of respondents showed interest in a nutrition and pregnancy app, while 23.66% were uncertain. Regarding nutritional knowledge during pregnancy, 68.7% reported having some knowledge, but only 11.45% claimed comprehensive knowledge. There was a considerable knowledge gap regarding the critical nutrients needed during pregnancy and the foods recommended for a healthy pregnancy diet. Awareness of pregnancy-related conditions such as anemia and preeclampsia was low, with most respondents unsure of these conditions' primary causes, impacts, and symptoms. This study serves as a critical step towards leveraging technology to enhance public health outcomes in low-resource settings. With the accessibility of mobile devices and an apparent willingness to utilize mHealth apps, compounded by the pressing need for improved maternal health, the impetus for action is indisputable. It is incumbent upon us to seize this opportunity, ensuring that the potential of technology is fully realized and not squandered, thus circumventing the risk of a burgeoning digital divide.

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.

Sub-optimal knowledge with positive attitude and belief of frontline health workers toward the use of information technologies: A mixed-method study from rural Haryana, India

BACKGROUND

Information technology (IT) can be used by frontline health workers (FLWs) to connect and deliver care to the community. Various studies in India have assessed the beneficial impact of IT usage by FLWs, but for the long-term sustainability, the attitude and belief toward IT usage have not been adequately studied. We conducted this study to assess the knowledge and attitude and to explore the beliefs of FLWs toward the use of IT in a rural area of Haryana.

MATERIALS AND METHODS

We conducted a mixed-method study (qualitative and quantitative approach) in a rural setting of Haryana, India. We included FLWs of two primary health centers (PHCs). Data were collected from October 19, 2020 to December 31, 2020. We collected data from 75 accredited social health activists (ASHAs), 37 Anganwadi workers (AWWs), 28 multi-purpose workers (MPWs), two information assistants, and two medical officers using a semi-structured interview schedule. Their knowledge about the benefits of IT use, past use of IT applications and devices, and self-rating of knowledge regarding computers or laptops were collected. We used 14 attitude statements, each with a five-point Likert scale to assess the attitude; a total score ≥35 was considered a positive attitude. We conducted eight focus group discussions (FGDs) to explore the beliefs regarding IT usage (four FGDs with ASHAs, two FGDs with AWWs, and two FGDs with MPWs). A descriptive analysis was performed for the quantitative data, and a thematic analysis was performed for qualitative data.

RESULTS

Knowledge about the benefits of IT use was present among 77.8% of FLWs. Among the FLWs, 79.2% self-rated their knowledge of computers/laptops as 'do not have knowledge', 16% self-rated as 'low knowledge', and 4.8% self-rated as 'good knowledge'. The median total score for attitude statements among all the FLWs (n = 144) was 54 [inter-quartile range - 48-59]. Four themes emerged for beliefs toward IT usage, namely, positive beliefs, negative beliefs, challenges anticipated in adopting IT use, and facilitation factors. The positive beliefs were related to improvement in work efficiency and social status, less paperwork, timely report generation, and better learning. The negative beliefs were related to an increase in working hours, close monitoring, and feeling over-burdened.

CONCLUSION

We found that FLWs had knowledge regarding the benefits of IT use, but they lacked knowledge regarding laptop/computer use. They had a satisfactory level of confidence in using smartphones, and most of them were using mobile applications. The majority of the FLWs had a positive attitude and beliefs toward IT use and wanted to use it in the future.

Mobile for Mothers mHealth Intervention to Augment Maternal Health Awareness and Behavior of Pregnant Women in Tribal Societies: Randomized Quasi-Controlled Study

Background

Despite several initiatives taken by government bodies, disparities in maternal health have been noticeable across India’s socioeconomic gradient due to poor health awareness.

Objective

The aim of this study was to implement an easy-to-use mobile health (mHealth) app—Mobile for Mothers (MfM)—as a supporting tool to improve (1) maternal health awareness and (2) maternal health–related behavioral changes among tribal and rural communities in India.

Methods

Pregnant women, aged 18 to 45 years, were selected from two rural villages of Jharkhand, India: (1) the intervention group received government-mandated maternal care through an mHealth app and (2) the control group received the same government-mandated care via traditional means (ie, verbally). A total of 800 accredited social health activists (ASHAs) were involved, of which 400 were allocated to the intervention group. ASHAs used the MfM app to engage with pregnant women during each home visit in the intervention group. The mHealth intervention commenced soon after the baseline survey was completed in February 2014. The end-line data were collected between November 2015 and January 2016. We calculated descriptive statistics related to demographics and the percentage changes for each variable between baseline and end line per group. The baseline preintervention groups were compared to the end-line postintervention groups using Pearson chi-square analyses. Mantel-Haenszel tests for conditional independence were conducted to determine if the pre- to postintervention differences in the intervention group were significantly different from those in the control group.

Results

Awareness regarding the five cleans (5Cs) in the intervention group increased (P<.001) from 143 (baseline) to 555 (end line) out of 740 participants. Awareness about tetanus vaccine injections and the fact that pregnant women should receive two shots of tetanus vaccine in the intervention group significantly increased (P<.001) from 73 out of 740 participants (baseline) to 372 out of 555 participants (end line). In the intervention group, awareness regarding the fact that problems like painful or burning urination and itchy genitals during pregnancy are indicative of a reproductive tract infection increased (P<.001) from 15 (baseline) to 608 (end line) out of 740 participants. Similarly, knowledge about HIV testing increased (P<.001) from 39 (baseline) to 572 (end line) out of 740 participants. We also noted that the number of pregnant women in the intervention group who consumed the prescribed dosage of iron tablets increased (P<.001) from 193 (baseline) out of 288 participants to 612 (end line) out of 663 participants.

Conclusions

mHealth interventions can augment awareness of, and persistence in, recommended maternal health behaviors among tribal communities in Jharkhand, India. In addition, mHealth could act as an educational tool to help tribal societies break away from their traditional beliefs about maternal health and take up modern health care recommendations.

Trial Registration

OSF Registries 9U8D5; https://doi.org/10.17605/OSF.IO/9U8D5

An mHealth tool for community health workers to improve caregiver knowledge of child health in the Amazon: An effectiveness-implementation hybrid evaluation

When community health workers (CHWs) are effective, they can teach healthy child rearing practices in their communities and improve child health and development outcomes. An effective mHealth tool can improve the capacity of CHWs to transmit knowledge to caregivers. This article evaluates the implementation of an mHealth tool in a CHW program in the Amazon of Peru. The intervention was designed, implemented, and evaluated with the guidance of multiple implementation science tools. A Hybrid Type 3 evaluation design was used to test the effectiveness of the implementation strategies and appropriateness of the intervention. The implementation outcomes: acceptability, adoption, dosage, and fidelity were analyzed with mixed methods approach to determine if the intervention was successfully installed in the CHW program. The service outcome, knowledge scores, was analyzed with an independent samples t-test and one way ANOVA to determine the effect of the program. The implementation strategies resulted in high degrees of acceptability, adoption, and fidelity of the mHealth tool. The surveillance component of the mHealth tools was not adequately adopted. The group of caregivers that received home visits with the mHealth tool (N = 48) had significantly higher knowledge scores (+1.26 standard deviations) than those in the control group (N = 138) (t(184) = -4.39, p<0.001). The COVID-19 pandemic significantly decreased the dosage of the intervention received by the participants. The CHEST App intervention is a promising tool to improve the capacity of CHWs during their home visits. Trial registered with ISRCTN on 11/29/2018 at https://doi.org/10.1186/ISRCTN43591826.

Improving health facility delivery rates in Zanzibar, Tanzania through a large-scale digital community health volunteer programme: a process evaluation

The utilization of community health worker (CHW) programmes to improve maternal and neonatal health outcomes has become widely applied in low- and middle-income countries. While current research has focused on discerning the effect of these interventions, documenting the process of implementing, scaling and sustaining these programmes has been largely ignored. Here, we focused on the implementation of the Safer Deliveries CHW programme in Zanzibar, a programme designed to address high rates of maternal and neonatal mortality by increasing rates of health facility delivery and postnatal care visits. The programme was implemented and brought to scale in 10 of 11 districts in Zanzibar over the course of 3 years by D-tree International and the Zanzibar Ministry of Health. As the programme utilized a mobile app to support CHWs during their visits, a rich data resource comprised of 133 481 pregnancy and postpartum home visits from 41 653 women and 436 CHWs was collected, enabling the evaluation of numerous measures related to intervention fidelity and health outcomes. Utilizing the framework of Steckler et al., we completed a formal process evaluation of the primary intervention, CHW home visits to women during their pregnancy and postpartum period. Our in-depth analysis and discussion will serve as a model for process evaluations of similar CHW programmes and will hopefully encourage future implementers to report analogous measures of programme performance.

The Use of Implementation Science Tools to Design, Implement, and Monitor a Community-Based mHealth Intervention for Child Health in the Amazon

It is essential to analyze the local context and implementation components to effectively deliver evidence-based solutions to public health problems. Tools provided by the field of implementation science can guide practitioners through a comprehensive implementation process, making innovations more adaptable, efficient, and sustainable. It is equally important to report on the design and implementation process so others can analyze, replicate, and improve on the progress made from an intervention. The current study reports on the design and implementation of an mHealth intervention to improve child health in the Amazon of Peru. The study aims to provide insight into how an implementation science tool can be used to improve implementation and reporting of an evidence-based intervention in a global health setting.

Methods: Implementation of a community-based mHealth intervention is analyzed and reported through the lens of the Active Implementation Frameworks (AIF). The AIF is used to analyze the design, implementation, adaptation, and monitoring of the intervention. The implementation process is categorized in the four stages of implementation. The results of the analysis and subsequent implementation activities are reported.

Results: The exploration stage was used to learn about the local context in the Amazonian communities and identify an evidence-based solution to address poor child health. Several potential solutions were combined to create an innovative mHealth tool. During the installation stage, the stakeholders worked together to improve the intervention and plan for implementation through human-centered design. The providers in the field were trained and data was gathered to monitor implementation. During initial implementation stage, electronic tablets were distributed to community health agents and continuous quality improvement activities allowed for rapid improvements to be implemented. The intervention moved on to full implementation stage as acceptance and fidelity approached 100%.

Conclusion: The AIF highlighted several potential barriers to implementation that may have been overlooked without the guidance of a science-based implementation tool. Reporting on the implementation process shows how implementation science tools can be used to foresee and address potential threats to successful implementation. The results of this study provide insight into the components of implementation in Amazonian communities, as well as the process of using implementation science tools in any global health setting.

Technology and rehabilitation training for community health workers: Strengthening health systems in Malawi

Community health workers (CHWs) have been effectively utilised in resource-limited settings to combat a growing demand for health access that cannot be met by the current workforce. The purpose of this study was to evaluate a CHW training programme in Malawi that integrated technology into rehabilitation care delivery. This was a retrospective cross-sectional study of a training programme conducted in December 2018. The participants were a convenience sample of all active home-based palliative care CHWs at St. Gabriel's Hospital (n = 60). The data collected included the following: a written pre- and post-knowledge test, skills competency checklist and a post-training programme survey. Descriptive frequencies described skill competency and quantitative responses from the post-training programme survey. Paired t test (α = 0.05) analysis determined the significance of knowledge acquisition. Themes in the narrative responses in the post-training survey were identified. Both training programme groups showed significantly greater knowledge on the post-test (M = 9.50, SD = 0.861; M = 9.43, SD = 0.971) compared to the pre-test (M = 7.97, SD = 1.351; M = 7.90, SD = 1.900); t(29) = 6.565, p < .001; t(29) = 4.104, p < .001 for Group 1 and Group 2, respectively. All participants demonstrated skill competency in 100% of the skills. All participants responded that the training programme helped them review skills and understand how to use technology 'A lot' on a Likert scale (no, a little, some, a lot). Facilitators of their work included training programmes, phones, communication with the hospital and collaboration amongst CHWs. Barriers included transportation needs, lack of patient care supplies and lack of caregiver compliance. Overall, utilisation of their knowledge and skills from the training programmes helped their patients make improvements in mobility and function that are meaningful to their quality of life in the village. This study highlights the importance of assessing programmes in low-resource settings with a focus on feasibility and developing local capacity.

Use of mobile technology by frontline health workers to promote reproductive, maternal, newborn and child health and nutrition: a cluster randomized controlled Trial in Bihar, India

Background

mHealth technology holds promise for improving the effectiveness of frontline health workers (FLWs), who provide most health-related primary care services, especially reproductive, maternal, newborn, child health and nutrition services (RMNCHN), in low-resource – especially hard-to-reach – settings. Data are lacking, however, from rigorous evaluations of mHealth interventions on delivery of health services or on health-related behaviors and outcomes.

Methods

The Information Communication Technology-Continuum of Care Service (ICT-CCS) tool was designed for use by community-based FLWs to increase the coverage, quality and coordination of services they provide in Bihar, India. It consisted of numerous mobile phone-based job aids aimed to improve key RMNCHN-related behaviors and outcomes. ICT-CCS was implemented in Saharsa district, with cluster randomization at the health sub-center level. In total, evaluation surveys were conducted with approximately 1100 FLWs and 3000 beneficiaries who had delivered an infant in the previous year in the catchment areas of intervention and control health sub-centers, about half before implementation (mid-2012) and half two years afterward (mid-2014). Analyses included bivariate and difference-in-difference analyses across study groups.

Results

The ICT-CCS intervention was associated with more frequent coordination of AWWs with ASHAs on home visits and greater job confidence among ASHAs. The intervention resulted in an 11 percentage point increase in FLW antenatal home visits during the third trimester (P = 0.04). In the post-implementation period, postnatal home visits during the first week were increased in the intervention (72%) vs the control (60%) group (P < 0.01). The intervention also resulted in 13, 12, and 21 percentage point increases in skin-to-skin care (P < 0.01), breastfeeding immediately after delivery (P < 0.01), and age-appropriate complementary feeding (P < 0.01). FLW supervision and other RMNCHN behaviors were not significantly impacted.

Conclusions

Important improvements in FLW home visits and RMNCHN behaviors were achieved. The ICT-CCS tool shows promise for facilitating FLW effectiveness in improving RMNCHN behaviors.

Use of mobile phones for behavior change communication to improve maternal, newborn and child health: a scoping review

BACKGROUND

Behavior change communication (BCC) to improve health and caring practices is an integral component of efforts to improve maternal, newborn and child health (MNCH). Mobile phones are widely available in low- and middle-income countries (LMIC), presenting new opportunities for BCC delivery. There is need for delivery science to determine how best to leverage mobile phone technology for BCC to improve MNCH practices.

METHODS

We conducted a scoping review of studies and project reports documenting the feasibility, implementation or effectiveness of using mobile phones for BCC delivery related to MNCH in LMIC. Data were extracted and synthesized from three sources: i) systematic search of three electronic databases (PubMed, MedLine, Scopus); ii) grey literature search, including mHealth databases and websites of organizations implementing mHealth projects; iii) consultation with researchers and programme implementers. Records were screened using pre-determined inclusion criteria and those selected were categorized according to their primary intervention delivery approaches. We then performed a descriptive analysis of the evidence related to both effectiveness and implementation for each delivery approach.

RESULTS

The systematic literature search identified 1374 unique records, 64 of which met inclusion criteria. The grey literature search added 32 records for a total of 96 papers in the scoping review. Content analysis of the search results identified four BCC delivery approaches: direct messaging, voice counseling, job aid applications and interactive media. Evidence for the effectiveness of these approaches is growing but remains limited for many MNCH outcomes. The four approaches differ in key implementation elements, including frequency, length and complexity of communication, and potential for personalization. These elements influence resource allocation and are likely to impact effectiveness for BCC targeting complex, habitual MNCH practices.

CONCLUSIONS

This scoping review contributes to the evidence-base on the opportunities and limitations of using mobile phones for BCC delivery aiming to improve MNCH practices. The incorporation of mobile phone technology in BCC interventions should be guided by formative research to match both the content and delivery approach to the local context. We recommend five areas for further research, including both effectiveness and implementation studies on specific delivery approaches.

mHealth tool to improve community health agent performance for child development: study protocol for a cluster-randomised controlled trial in Peru

INTRODUCTION

Cultivating child health and development creates long-term impact on the well-being of the individual and society. The Amazon of Peru has high levels of many risk factors that are associated with poor child development. The use of 'community health agents' (CHAs) has been shown to be a potential solution to improve child development outcomes. Additionally, mobile information and communication technology (ICT) can potentially increase the performance and impact of CHAs. However, there is a knowledge gap in how mobile ICT can be deployed to improve child development in low resource settings.

METHODS AND ANALYSIS

The current study will evaluate the implementation and impact of a tablet-based application that intends to improve the performance of CHAs, thus improving the child-rearing practices of caregivers and ultimately child health and development indicators. The CHAs will use the app during their home visits to record child health indicators and present information, images and videos to teach key health messages. The impact will be evaluated through an experimental cluster randomised controlled trial. The clusters will be assigned to the intervention or control group based on a covariate-constrained randomisation method. The impact on child development scores, anaemia and chronic malnutrition will be assessed with an analysis of covariance. The secondary outcomes include knowledge of healthy child-rearing practices by caregivers, performance of CHAs and use of health services. The process evaluation will report on implementation outcomes. The study will be implemented in the Amazon region of Peru with children under 4. The results of the study will provide evidence on the potential of a mHealth tool to improve child health and development indicators in the region.

ETHICS AND DISSEMINATION

The study received approval from National Hospital 'San Bartolome' Institutional Ethics Committee on 8 November 2018 (IRB Approval #15463-18) and will be disseminated via peer-reviewed publications.

TRIAL REGISTRATION NUMBER

ISRCTN43591826.

Use of Mobile Health (mHealth) Technologies and Interventions Among Community Health Workers Globally: A Scoping Review

There is mounting evidence to show that community health workers (CHWs) play a positive role in improving population health by connecting people to information, resources, and services. However, barriers faced by CHWs include not being able to access information quickly and in a language tailored to the communities they serve. Mobile health (mHealth) shows promise of bridging this gap. Although there are a number of studies published on mHealth interventions, there is a need to synthesize the literature specific to mHealth and CHWs globally. Therefore, the primary goals of this review are to identify and describe over ten years of studies on the use, effectiveness, and potential of mHealth involving CHWs. Findings provide evidence-based strategies for designing and implementing mHealth tools for and with CHWs. We used criteria and methodology for scoping reviews established by the Joanna Briggs Institute as well as PRISMA protocols. We searched scholarly databases for peer-reviewed articles published between 2007 and 2018. The initial search yielded 207 published articles; after applying inclusion criteria, the sample totaled 64. While research about mHealth use among CHWs is still emerging, we found out that large-scale, longitudinal, and clinical studies are lacking. The existing evidence indicates that interventions, which include both CHWs and mHealth tools, are effective. Challenges include the scarcity of culturally relevant mHealth interventions, lack of a consistent methodology to assess mHealth outcomes, the need for effective training for CHWs to adopt mHealth tools, and improved communication within health care teams working with CHWs.