Maternal mortality as a Millennium Development Goal of the United Nations: a systematic assessment and analysis of available data in threshold countries using Indonesia as example

Digital health technologies for high-risk pregnancy management: three case studies using Digilego framework

Objective

High-risk pregnancy (HRP) conditions such as gestational diabetes mellitus (GDM), hypertension (HTN), and peripartum depression (PPD) affect maternal and neonatal health. Patient engagement is critical for effective HRP management (HRPM). While digital technologies and analytics hold promise, emerging research indicates limited and suboptimal support offered by the highly prevalent pregnancy digital solutions within the commercial marketplace. In this article, we describe our efforts to develop a portfolio of digital products leveraging advances in social computing, data science, and digital health.

Methods

We describe three studies that leverage core methods from Digilego digital health development framework to (1) conduct large-scale social media analysis (n = 55 301 posts) to understand population-level patterns in women's needs, (2) architect a digital repository to enable women curate HRP related information, and (3) develop a digital platform to support PPD prevention. We applied a combination of qualitative coding, machine learning, theory-mapping, and programmatic implementation of theory-linked digital features. Further, we conducted preliminary testing of the resulting products for acceptance with sample of pregnant women for GDM/HTN information management (n = 10) and PPD prevention (n = 30).

Results

Scalable social computing models using deep learning classifiers with reasonable accuracy have allowed us to capture and examine psychosociobehavioral drivers associated with HRPM. Our work resulted in two digital health solutions, MyPregnancyChart and MomMind are developed. Initial evaluation of both tools indicates positive acceptance from potential end users. Further evaluation with MomMind revealed statistically significant improvements (P < .05) in PPD recognition and knowledge on how to seek PPD information.

Discussion

Digilego framework provides an integrative methodological lens to gain micro-macro perspective on women's needs, theory integration, engagement optimization, as well as subsequent feature and content engineering, which can be organized into core and specialized digital pathways for women engagement in disease management.

Conclusion

Future works should focus on implementation and testing of digital solutions that facilitate women to capture, aggregate, preserve, and utilize, otherwise siloed, prenatal information artifacts for enhanced self-management of their high-risk conditions, ultimately leading to improved health outcomes.

Clustering of home delivery in Bangladesh and its predictors: Evidence from the linked household and health facility level survey data

Around half of births in Bangladesh occur at home without skilled birth personnel. This study aims to identify the geographical hot spots and cold spots of home delivery in Bangladesh and associated factors. We analyzed data from the 2017/2018 Bangladesh Demographic and Health Survey and the 2017 Bangladesh Health Facility Survey. The outcome variable was home delivery without skilled personnel supervision (yes, no). Explanatory variables included individual, household, community, and healthcare facility level factors. Moran's I was used to determine hot spots (geographic locations with notably high rates of home delivery) and cold spots (geographic areas exhibiting significantly low rates of home delivery) of home delivery. Geographically weighted regression models were used to identify cluster-specific predictors of home delivery. The prevalence of without skilled personnel supervised home delivery was 53.18%. Hot spots of non-supervised and unskilled supervised home delivery were primarily located in Dhaka, Khulna, Rajshahi, and Rangpur divisions. Cold spots of home delivery were mainly located in Mymensingh and Sylhet divisions. Predictors of higher home births in hot spot areas included women's illiteracy, lack of formal job engagement, higher number of children ever born, partner's agriculture occupation, higher community-level illiteracy, and larger distance to the nearest healthcare facility from women's homes. The study findings suggest home delivery is prevalent in Bangladesh. Awareness-building programs should emphasize the importance of skilled and supervised institutional deliveries, particularly among the poor and disadvantaged groups.

Maternal mortality study in the Eastern Democratic Republic of the Congo

Background

The reduction of maternal mortality in developing countries such as the Democratic Republic of Congo (DRC) still raises many questions. Indeed, this large country in the heart of Africa ranks 4th among the eight countries that alone account for more than 50% of maternal deaths in the world, behind India, Nigeria and Pakistan. However, there is no up-to-date data on maternal mortality in eastern DRC. This study measures the mortality rate rate in health facilities in eastern DRC and identifies the associated risk factors.

Methods

This analytical epidemiological study was based on retrospective data materna deaths recorded in 59 health facilities, in three health zones in the southern part of Maniema province in east DRC. The study was conducted from July 1, 2015 to June 30, 2020. Descriptive, bi and multivariate analyses were used.

Results

The maternal mortality rate was estimated at 620 deaths per 100,000 live births, of which 46% of maternal deaths were related to a parturients’ delayed decision in seeking healthcare in time (first delay). Maternal deaths were significantly associated with extreme ages (≤ 19 years and ≥ 40 years: p =  < 0.001), patient parity (in primigravidas and in large multiparas: p = 0.001), complications such as hemorrhagic, (p =  < 0.001), uterine ruptures:(p =  < 0.001), infections, (p =  < 0.001), and dystocia (p =  < 0.001).

Conclusion

Despite the efforts made by the DRC and its partners in the fight against maternal mortality, women continue to lose their lives when they decide to give birth. The results imply that it is imperative to strengthen both women and health professionals’ knowledge about pregnancy and maternal health and their power to reduce instances of first delay by supporting women in formulating their birth plans.

Impact of the Sister Hospital Program on Maternal Mortality and Neonatal Mortality in Nusa Tenggara Timur Province, Indonesia

The province of Nusa Tenggara Timur (NTT) in the eastern part of Indonesia is known for high maternal mortality ratios (MMRs) and neonatal mortality eates (NMRs). Sister Hospital is a multicenter program, which aims to lower MMRs and NMRs in the deprived areas of Indonesia by providing comprehensive emergency services for maternal and newborn care. In this study, we evaluated the impact of the Sister Hospital program on MMRs and NMRs in 2009-17. We used linear mixed-effects models to analyze the program's effects. Study results suggested that in general, the Sister Hospital program reduced MMRs by 1.14/100 000 live births after adjusting for other sociodemographic factors. This study also found that the program effects varied by island, and the highest reduction in MMRs, were found on Sumba Island in which the log of MMRs decreased from 2.23 in 2009 to 2.01 in 2017. However, no effects on NMR outcomes by the program were found. These findings suggest that the Sister Hospital program can be a practical solution for lowering MMRs in rural Indonesia.

Barriers to implementation of emergency obstetric and neonatal care in rural Pakistan

BACKGROUND

Recognizing the need for improving maternal and newborn care, the Punjab public health department (Pakistan) launched emergency obstetric neonatal care (EmONC) services under WHO guideline. Unfortunately, the program implementation is facing some serious problems. The purpose of this study was to identify barriers to implementation of EmONC in district Bahawalnagar (Pakistan).

METHODS

This study used sequential exploratory design. Specifically, a qualitative study was conducted to identify barriers to EmONC. Subsequently, the relative importance of these barriers was determined in a quantitative study. Participants were health service providers involved in 24-hours basic EmONC services in the basic health units of district Bahawalnagar (Pakistan). Qualitative data were gathered by interviewing the participants using key informant guide. Quantitative data were collected in a rank order survey of the same participants. The methodological quality was assessed using mixed methods appraisal tool (MMAT) version 2011.

RESULTS

The results indicate that lack of teamwork, conflict management, communication, and improper power distribution are important interpersonal barriers. The significant organizational-level barriers include job insecurity, lack of organizational culture, human resource deployment issues, and lack of role clarity. Lack of target management, lack of resource availability, house job requirement, and dual practice issues were identified as major system-level barriers.

CONCLUSION

Barriers to EmONC implementation must be addressed for improving maternal and neonatal care in district Bahawalnagar.

International collaboration for implementation of equal access to family-based primary healthcare in Indonesia

[No abstract available]