The influence of distance and quality on utilisation of birthing services at health facilities in Eastern Region, Ghana

Investigating the role of women's education status and empowerment on accessing skilled birth attendance in Bangladesh: A structural equation modelling approach

BACKGROUND

The objective of this study was to investigate the associations between women's education and access to skilled birth attendant (SBA) services mediated by factors of women's empowerment and sociodemographic characteristics using a path analysis through a structural equation (SEM) modelling approach.

METHODS

A sample of 4946 mothers from the most recent Bangladesh Demographic and Health Survey of 2017-18 was used in the SEM analysis. Accessing SBA service at childbirth was operationalized as utilizing SBA during last childbirth. After extracting the relevant variables and cleaning the original survey data, a subsample of 4,946 women were eligible for analysis in the current study.

RESULTS

The SEM model revealed strong evidence of direct, indirect, and mediating effects of both education and empowerment of women in accessing SBA services. Educated women have more autonomy in decision making and are less susceptible to family violence and consequently are more likely to access SBA services during childbirth (β = 0.094, p < 0.001). In addition, age at first marriage, media exposure, husband's education, healthcare accessibility, decision marking, and household wealth index mediated the relationship between education and SBA service use.

CONCLUSION

Bangladesh, a country that needs to improve several societal and health indices to achieve the Sustainable Development Goals, need to prioritize women's education to increase accessibility to maternal healthcare services. Health education and mass-media-driven awareness may be potential interventions for LMICs to increase SBA coverage.

The nexus between geographical distance and institutional delivery trends in Ethiopia: evidence from nationwide surveys

Background

Giving birth in a healthcare facility with the guidance of skilled healthcare providers allows access to necessary medical interventions. Ethiopia has implemented several strategies to enhance institutional delivery and decrease maternal mortality; however, the rate of institutional delivery remains low. This study examines the role of distance to healthcare institutions on institutional delivery in Ethiopia, and how this has changed over time.

Method

This study used data from two rounds of the Ethiopian Demographic and Health Survey (2011 and 2016), a spatial database detailing the locations of healthcare facilities, and Ethiopian road network data. The sample included 22,881 women who delivered within the 5 years preceding each survey and lived in 1,295 villages. Bivariate and multivariable logistic regression analyses were used to investigate how the distance to health facilities and other potential determinants influenced institutional delivery trends.

Results

The rate of institutional deliveries in Ethiopia has increased from 10% in 2011 to 26% in 2016. Likewise, the average transportation distance to health facilities has decreased from 22.4 km in 2011 to 20.2 km in 2016 at the national level. Furthermore, a one-kilometer increase in the distance to the nearest health facility was associated with a 1% decrease in the likelihood of delivering at a health facility in 2016 (odds ratio (OR) = 0.99, 95% CI [0.98-0.99], p < 0.05). Additionally, mothers who are more educated, have completed more antenatal care visits, live in wealthier households in more urban areas, and cohabit with more educated husbands are more likely to deliver at healthcare facilities. These variables showed consistent relevance in both survey rounds, suggesting that key determinants remained largely unchanged throughout the study period.

Conclusion

The impact of distance from health facilities on institutional delivery in Ethiopia remains evident, although its influence is relatively modest. The other factors, including education, antenatal care, socioeconomic status, urban residence, and partner education, remained consistent between the two surveys. These determinants have consistently influenced institutional delivery, highlighting the importance of a comprehensive approach that addresses both access to and socioeconomic factors to improve maternal and infant health across the country.

Assessing the Link between Maternal Transport Modes and Childhood Mortality in Nigeria

OBJECTIVES

The study explored the association between maternal transport modes and childhood mortalities in Nigeria.

METHOD

Utilizing data and definitions from the 2018 Nigeria Demographic and Health Survey report, the ten-year early mortality rates of the five childhood mortalities and the percentage of live births in the 5 years before the survey, transported by eight identified means of transportation, were statistically correlated for each of Nigeria's 36 states and the federal capital territory (FCT) in the R environment at a significance level of α < 0.05.

RESULTS

In the spatial distribution of the five childhood mortalities, a notable north-south dichotomy was observed, contrasting with the spatial spread of maternal transport modes. The five childhood mortalities exhibited a significant, moderately positive correlation with transportation by Private Car or Truck, while their associations with Public Transport or Bus and Walking were notably moderate but negative.

CONCLUSION FOR PRACTICE

While the use of private cars or trucks should be encouraged as a means of maternal transport, public transport should be better organized to provide efficient services to women who need such services for maternal and child healthcare. Additionally, steps should be taken to reduce travel distances to health facilities to manageable distances for mothers.

Estimates and determinants of health facility delivery in the Birhan cohort in Ethiopia

Health facility delivery is one of the critical indicators to monitor progress towards the provision of skilled delivery care and reduction in perinatal mortality. In Ethiopia, utilization of health facilities for skilled delivery care has been increasing but varies greatly by region and among specific socio-demography groups. We aimed to measure the prevalence and determinants of health facility delivery in the Amhara region in Ethiopia. From December 2018 to November 2020, we conducted a longitudinal study from a cohort of 2801 pregnant women and described the location of delivery and the association with determinants. We interviewed a subset of women who delivered in the community and analyzed responses using the three delays model to understand reasons for not using health facility services. A multivariable poisson regression model with robust error variance was used to estimate the presence and magnitude of association between location of delivery and the determinants. Of the 2,482 pregnant women followed through to birth, 73.6% (n = 1,826) gave birth in health facilities, 24.3% (n = 604) gave birth at home and 2.1% (n = 52) delivered on the way to a health facility. Determinants associated with increased likelihood of delivery at a health facility included formal maternal education, shorter travel times to health facilities, primiparity, higher wealth index and having attended at least one ANC visit. Most common reasons mothers gave for not delivering in a health facility were delays in individual/family decision to seek care. The proportion of deliveries occurring in health facilities is increasing but falls below targets. Interventions that focus on the identified social-demographic determinants and delays are warranted.

Geographical accessibility to functional emergency obstetric care facilities in urban Nigeria using closer-to-reality travel time estimates: a population-based spatial analysis

BACKGROUND

Better accessibility for emergency obstetric care facilities can substantially reduce maternal and perinatal deaths. However, pregnant women and girls living in urban settings face additional complex challenges travelling to facilities. We aimed to assess the geographical accessibility of the three nearest functional public and private comprehensive emergency obstetric care facilities in the 15 largest Nigerian cities via a novel approach that uses closer-to-reality travel time estimates than traditional model-based approaches.

METHODS

In this population-based spatial analysis, we mapped city boundaries, verified and geocoded functional comprehensive emergency obstetric care facilities, and mapped the population distribution for girls and women aged 15-49 years (ie, of childbearing age). We used the Google Maps Platform's internal Directions Application Programming Interface to derive driving times to public and private facilities. Median travel time and the percentage of women aged 15-49 years able to reach care were summarised for eight traffic scenarios (peak and non-peak hours on weekdays and weekends) by city and within city under different travel time thresholds (≤15 min, ≤30 min, ≤60 min).

FINDINGS

As of 2022, there were 11·5 million girls and women aged 15-49 years living in the 15 studied cities, and we identified the location and functionality of 2020 comprehensive emergency obstetric care facilities. City-level median travel time to the nearest comprehensive emergency obstetric care facility ranged from 18 min in Maiduguri to 46 min in Kaduna. Median travel time varied by location within a city. The between-ward IQR of median travel time to the nearest public comprehensive emergency obstetric care varied from the narrowest in Maiduguri (10 min) to the widest in Benin City (41 min). Informal settlements and peripheral areas tended to be worse off compared to the inner city. The percentages of girls and women aged 15-49 years within 60 min of their nearest public comprehensive emergency obstetric care ranged from 83% in Aba to 100% in Maiduguri, while the percentage within 30 min ranged from 33% in Aba to over 95% in Ilorin and Maiduguri. During peak traffic times, the median number of public comprehensive emergency obstetric care facilities reachable by women aged 15-49 years under 30 min was zero in eight (53%) of 15 cities.

INTERPRETATION

Better access to comprehensive emergency obstetric care is needed in Nigerian cities and solutions need to be tailored to context. The innovative approach used in this study provides more context-specific, finer, and policy-relevant evidence to support targeted efforts aimed at improving comprehensive emergency obstetric care geographical accessibility in urban Africa.

FUNDING

Google.

Availability and readiness of healthcare facilities and their effects on antenatal care services uptake in Bangladesh

BACKGROUND

Sustainable Development Goal (SDG) 3.7 aims to ensure universal access to sexual and reproductive healthcare services, where antenatal care (ANC) is a core component. This study aimed to examine the influence of health facility availability and readiness on the uptake of four or more ANC visits in Bangladesh.

METHODS

The 2017/18 Bangladesh Demographic and Health Survey data were linked with the 2017 Health Facility Survey and analyzed in this study. The associations of health facility-level factors with the recommended number of ANC uptakes were determined. A multilevel mixed-effect logistic regression model was used to determine the association, adjusting for potential confounders.

RESULTS

Nearly 44% of mothers reported four or more ANC uptakes, with significant variations across several areas in Bangladesh. The average distance of mothers' homes from the nearest health facilities was 6.36 km, higher in Sylhet division (8.25 km) and lower in Dhaka division (4.45 km). The overall uptake of the recommended number of ANC visits was positively associated with higher scores for the management (adjusted odds ratio (aOR) 1.85; 95% CI, 1.16-2.82) and infrastructure (aOR, 1.59; 95% CI, 1.09-2.19) of health facilities closest to mothers' homes. The odds of using the recommended number of ANC in mothers increased by 3.02 (95% CI, 2.01-4.19) and 2.36 (95% CI, 2.09-3.16) folds for each unit increase in the availability and readiness scores to provide ANC services at the closest health facilities, respectively. Every kilometer increase in the average regional-level distance between mothers' homes and the nearest health facilities reduced the likelihood of receiving the recommended number of ANC visits by nearly 42% (aOR, 0.58, 95% CI, 0.42-0.74).

CONCLUSION

The availability of healthcare facilities close to residence, as well as their improved management, infrastructure, and readiness to provide ANC, plays a crucial role in increasing ANC services uptake. Policies and programs should prioritize increasing the availability, accessibility, and readiness of health facilities to provide ANC services.

Impact of Urban Slum Residence on Coverage of Maternal, Neonatal, and Child Health Service Indicators in the Greater Accra Region of Ghana: an Ecological Time-Series Analysis, 2018-2021

Among other focus areas, the global Sustainable Development Goals (SDGs) 3 and 11 seek to advance progress toward universal coverage of maternal, neonatal, and child health (MNCH) services and access to safe and affordable housing and basic services by 2030. Governments and development agencies have historically neglected the health and well-being associated with living in urban slums across major capital cities in sub-Saharan Africa since health policies and programs have tended to focus on people living in rural communities. This study assessed the trends and compared inequities in MNCH service utilization between slum and non-slum districts in the Greater Accra region of Ghana. It analyzed information from 29 districts using monthly time-series Health Management Information System (HMIS) data on MNCH service utilization between January 2018 and December 2021. Multivariable quantile regression models with robust standard errors were used to quantify the impact of urban slum residence on MNCH service utilization. We assessed the inequality of MNCH coverage indicators between slum and non-slum districts using the Gini index with bootstrapped standard errors and the generalized Lorenz curve. The results indicate that rates of vaccination coverage and antenatal care (ANC) attendance have declined significantly in slum districts compared to those in non-slum districts. However, skilled birth delivery and postnatal care (PNC) were found to be higher in urban slum areas compared to those in non-urban slum areas. To help achieve the SDGs' targets, it is important for the government of Ghana and other relevant stakeholders to prioritize the implementation of effective policies, programs, and interventions that will improve access to and utilization of ANC and immunization services among urban slum dwellers.

Revealed versus potential spatial accessibility of healthcare and changing patterns during the COVID-19 pandemic

BACKGROUND

Timely access to healthcare is essential but measuring access is challenging. Prior research focused on analyzing potential travel times to healthcare under optimal mobility scenarios that do not incorporate direct observations of human mobility, potentially underestimating the barriers to receiving care for many populations.

METHODS

We introduce an approach for measuring accessibility by utilizing travel times to healthcare facilities from aggregated and anonymized smartphone Location History data. We measure these revealed travel times to healthcare facilities in over 100 countries and juxtapose our findings with potential (optimal) travel times estimated using Google Maps directions. We then quantify changes in revealed accessibility associated with the COVID-19 pandemic.

RESULTS

We find that revealed travel time differs substantially from potential travel time; in all but 4 countries this difference exceeds 30 minutes, and in 49 countries it exceeds 60 minutes. Substantial variation in revealed healthcare accessibility is observed and correlates with life expectancy (⍴=-0.70) and infant mortality (⍴=0.59), with this association remaining significant after adjusting for potential accessibility and wealth. The COVID-19 pandemic altered the patterns of healthcare access, especially for populations dependent on public transportation.

CONCLUSIONS

Our metrics based on empirical data indicate that revealed travel times exceed potential travel times in many regions. During COVID-19, inequitable accessibility was exacerbated. In conjunction with other relevant data, these findings provide a resource to help public health policymakers identify underserved populations and promote health equity by formulating policies and directing resources towards areas and populations most in need.

Disparities in health and nutrition between semi-urban and rural mothers and birth outcomes of their newborns in Bukavu, DR Congo: a baseline assessment

AIM

This research aimed to evaluate health and nutritional practices of mothers during pregnancy and birth outcomes of their newborns in Bukavu, Democratic Republic of the Congo (DRC), comparing semi-urban and rural areas.

BACKGROUND

Health and nutrition during pregnancy are crucial for adequate development of the fetus. Health care plays an important role but is often poor in rural areas of developing countries.

METHODS

A baseline survey of a nutritional follow-up study was conducted in two semi-urban and one rural hospital in the vicinity of Bukavu, DRC. In total, 471 mother-child pairs were recruited after delivery. Data collection included socio-demographic parameters, nutrition and health measures during pregnancy, and anthropometric parameters. Semi-urban and rural study locations were compared and predictors of birth weight evaluated.

FINDINGS

Semi-urban and rural mothers differed significantly in nutrition and health practices during pregnancy, as well as birth outcomes. In the rural area, there was a higher rate of newborns with low birth weight (10.7%) and lower rates of antimalarial medication (80.8%), deworming (24.6%), consumption of nutritional supplements (81.5%), and being informed about nutrition by medical staff (32.8%) during pregnancy as well as practicing family planning (3.1%) than in the semi-urban areas (2.7%, 88.6%, 88.3%; 89.3%, 46.5%, and 17.1%, respectively). Birth weight was positively predicted by increasing maternal MUAC, age, and gestational age and negatively by rural location, being primipara, being a farmer, and female newborn sex.

CONCLUSION

The findings highlight the importance of strengthening antenatal care activities especially in rural areas in order to ameliorate both maternal and infantile health and ensure appropriate development.

Postnatal care service utilisation for babies within the first two months after childbirth: an analysis of rural-urban differences in eleven Sub-Saharan African countries

BACKGROUND

The World Health Organisation recommends that all mothers seek postnatal care (PNC) within the first two months after childbirth. This study examined PNC utilisation for babies within the first two months after childbirth.

METHODS

We used data from the most recent Demographic and Health Surveys (DHS) (2018-2020) of eleven countries in SSA. Descriptive and a multivariate analysis were carried out, and presented in adjusted odds ratios. The explanatory variables included: age, place of residence, level of formal education, wealth quintile, antenatal care visits, marital status, frequency of watching TV, listening to radio and reading newspaper, getting permission to go medical help for self, getting money needed for treatment, and distance to facility.

RESULTS

PNC utilisation was 37.5% and 33% in urban and rural residences, respectively. Higher level of education (Urban: AOR = 1.39, CI = 1.25, 1.56; Rural: AOR = 1.31, CI = 1.10, 1.58), 4 or more ANC visits (Urban: AOR = 1.32, CI = 1.23, 1.40; Rural: AOR = 1.49, CI = 1.43, 1.56 0.86), requiring permission to go to the health facility (Urban: AOR = 0.67, CI = 0.61, 0.74; Rural: AOR = 0.86, CI = 0.81, 0.91), listening to the radio at least once a week (Urban: AOR = 1.32, CI = 1.23, 1.41; Rural: AOR = 0.86, CI = 0.77, 0.95), and watching television at least once a week (Urban: AOR = 1.11, CI = 1.03, 1.21; Rural: AOR = 1.15, CI = 1.07, 1.24) were significantly associated with PNC service utilisation in both rural and urban areas. However, belonging to a richer wealth status (AOR = 1.11, CI = 1.02, 1.20) and having a problem with distance (AOR = 1.13, CI = 1.07, 1.18) were significant in only rural areas, while having a problem with money for treatment was significant only in urban areas (AOR = 1.15, CI = 1.08, 1.23).

CONCLUSION

In this study, we conclude that the PNC service utilisation within the first 2 months after delivery was low across rural and urban residences. There is, therefore, a need for SSA countries to develop population tailored interventions such as advocacy and health education targeted at women with no formal education in both rural and urban areas. Our study also suggests that SSA countries must intensify radio programs and advertisements on the health benefits of PNC to improve maternal and child health.

Sociodemographic and Maternal Determinants of Postnatal Care Utilization: A Cross-Sectional Study

Introduction

Postnatal care (PNC) is critical for the newborn and the mother, as it offers the opportunity to examine the mother and child to ensure early and timely intervention of any obstetric anomalies that might have gone unnoticed during delivery. However, there is a lack of data on PNC utilization and associated determinants in Ghana. Meanwhile, it is suspected that the PNC service should be more patronized by mothers, particularly within the first 2 days after delivery; therefore, investigating PNC utilization and associated factors could inform policies to enhance PNC uptake.

Objective

The objective is to determine the level of utilization of PNC service and associated factors in the Savannah region of Ghana.

Methods

The study used a facility-based analytical cross-sectional study design. The study was carried out in 311 postnatal mothers using consecutive sampling. Data collection was carried out using a questionnaire. Univariate and multiple logistic regression was performed to establish the determinants of PNC. Variables/variable categories with P < .05 were significantly associated with PNC. The significance level is anchored at P < .05.

Results

The study showed that almost all respondents (98.7%) have heard about PNC services through health workers (39.7%), media (13.0%), and friends and relatives (47.2%). Most of the respondents (88.7%) have used PNC services within 48 h. Mothers aged 25-39 years were about seven times more likely to utilize PNC compared to those who were less than 25 years old (AOR [adjusted odds ratio] = 7.41, 95% CI [confidence interval]: 1.98-7.71); mothers with high school education (SHS) and above were also approximately four times more likely to use PNC compared to those who had no formal education (AOR = 3.65, 95% CI 1.97-13.66). In the same vein, married mothers were 10 times more likely to use PNC compared to those who are single mothers (AOR = 10.34, 95% CI: 3.69-28.97), whereas mothers who had at least four antenatal care (ANC) visits during pregnancy were approximately seven times more likely to use PNC compared to those who had less than four ANC visits (AOR = 6.92, 95% CI: 1.46-32.78). Reasons for not attending PNC include waiting time (40.5%), health workers' attitude (32.4%), being attended by a student (16.2%), being busy (27.0%), inadequate information on PNC (24.3%), and no family support (18.9%).

Conclusion

All mothers knew about the PNC services, with a higher proportion patronizing the services. The increasing age, the level of mothers, marital status, and participation in ANC were significant determinants of the use of PNC. More education during ANC on the importance of PNC service is required to achieve universal coverage of PNC.

Dam-mediated flooding impact on outpatient attendance and diarrhoea cases in northern Ghana: a mixed methods study

Background

Floods are the most frequently occurring natural disaster and constitute a significant public health risk. Several operational satellite-based flood detection systems quantify flooding extent, but it is unclear how far the choice of satellite-based flood product affects the findings of epidemiological studies of associated public health risks. Few studies of flooding’s health impacts have used mixed methods to enrich understanding of these impacts. This study therefore aims to evaluate the relationship between two satellite-derived flood products with outpatient attendance and diarrhoeal disease in northern Ghana, identifying plausible reasons for observed relationships via qualitative interviews.

Methods

A convergent parallel mixed methods design combined an ecological time series with focus group discussions and key informant interviews. Through an ecological time series component, monthly outpatient attendance and diarrhoea case counts from health facilities in two flood-prone districts for 2016–2020 were integrated with monthly flooding map layers classified via the Moderate Resolution Imaging Spectroradiometer (MODIS) and Landsat satellite sensors. The relationship between reported diarrhoea and outpatient attendance with flooding was examined using Poisson regression, controlling for seasonality and facility catchment population. Four focus group discussions with affected community members and four key informant interviews with health professionals explored flooding’s impact on healthcare delivery and access.

Results

Flooding detected via Landsat better predicted outpatient attendance and diarrhoea than flooding via MODIS. Outpatient attendance significantly reduced as LandSat-derived flood area per facility catchment increased (adjusted Incidence Rate Ratio = 0.78, 95% CI: 0.61–0.99, p < 0.05), whilst reported diarrhoea significantly increased with flood area per facility catchment (adjusted Incidence Rate Ratio = 4.27, 95% CI: 2.74—6.63, p < 0.001). Key informants noted how flooding affected access to health services as patients and health professionals could not reach the health facility and emergency referrals were unable to travel.

Conclusions

The significant reduction in outpatient attendance during flooding suggests that flooding impairs healthcare delivery. The relationship is sensitive to the choice of satellite-derived flood product, so future studies should consider integrating multiple sources of satellite imagery for more robust exposure assessment. Health teams and communities should plan spatially targeted flood mitigation and health system adaptation strategies that explicitly address population and workforce mobility issues.

Impact of traffic congestion on spatial access to healthcare services in Nairobi

Background

Geographic accessibility is an important determinant of healthcare utilization and is critical for achievement of universal health coverage. Despite the high disease burden and severe traffic congestion in many African cities, few studies have assessed how traffic congestion impacts geographical access to healthcare facilities and to health professionals in these settings. In this study, we assessed the impact of traffic congestion on access to healthcare facilities, and to the healthcare professionals across the healthcare facilities.

Methods

Using data on health facilities obtained from the Ministry of Health in Kenya, we mapped 944 primary, 94 secondary and four tertiary healthcare facilities in Nairobi County. We then used traffic probe data to identify areas within a 15-, 30- and 45-min drive from each health facility during peak and off-peak hours and calculated the proportion of the population with access to healthcare in the County. We employed a 2-step floating catchment area model to calculate the ratio of healthcare and healthcare professionals to population during these times.

Results

During peak hours, <70% of Nairobi's 4.1 million population was within a 30-min drive from a health facility. This increased to >75% during off-peak hours. In 45 min, the majority of the population had an accessibility index of one health facility accessible to more than 100 people (<0.01) for primary health care facilities, one to 10,000 people for secondary facilities, and two health facilities per 100,000 people for tertiary health facilities. Of people with access to health facilities, a sub-optimal ratio of <4.45 healthcare professionals per 1,000 people was observed in facilities offering primary and secondary healthcare during peak and off-peak hours.

Conclusion

Our study shows access to healthcare being negatively impacted by traffic congestion, highlighting the need for multisectoral collaborations between urban planners, health sector and policymakers to optimize health access for the city residents. Additionally, growing availability of traffic probe data in African cities should enable similar analysis and understanding of healthcare access for city residents in other countries on the continent.

Distance is “a big problem”: a geographic analysis of reported and modelled proximity to maternal health services in Ghana

Background

Geographic barriers to healthcare are associated with adverse maternal health outcomes. Modelling travel times using georeferenced data is becoming common in quantifying physical access. Multiple Demographic and Health Surveys ask women about distance-related problems accessing healthcare, but responses have not been evaluated against modelled travel times. This cross-sectional study aims to compare reported and modelled distance by socio-demographic characteristics and evaluate their relationship with skilled birth attendance. Also, we assess the socio-demographic factors associated with self-reported distance problems in accessing healthcare.

Methods

Distance problems and socio-demographic characteristics reported by 2210 women via the 2017 Ghana Maternal Health Survey were included in analysis. Geospatial methods were used to model travel time to the nearest health facility using roads, rivers, land cover, travel speeds, cluster locations and health facility locations. Logistic regressions were used to predict skilled birth attendance and self-reported distance problems.

Results

Women reporting distance challenges accessing healthcare had significantly longer travel times to the nearest health facility. Poverty significantly increased the odds of reporting challenges with distance. In contrast, living in urban areas and being registered with health insurance reduced the odds of reporting distance challenges. Women with a skilled attendant at birth, four or more skilled antenatal appointments and timely skilled postnatal care had shorter travel times to the nearest health facility. Generally, less educated, poor, rural women registered with health insurance had longer travel times to their nearest health facility. After adjusting for socio-demographic characteristics, the following factors increased the odds of skilled birth attendance: wealth, health insurance, higher education, living in urban areas, and completing four or more antenatal care appointments.

Conclusion

Studies relying on modelled travel times to nearest facility should recognise the differential impact of geographic access to healthcare on poor rural women. Physical access to maternal health care should be scaled up in rural areas and utilisation increased by improving livelihoods.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12884-022-04998-0.

Intimate partner violence and its association with skilled birth attendance among women in Nigeria: evidence from the Nigeria Demographic and Health Surveys

Background

Intimate Partner Violence (IPV) has been identified as a violation of human rights and a major public health challenge. IPV against women has negative effects on women’s mental well-being and leads to unfavourable health outcomes through poor maternal healthcare services utilisation, especially skilled birth attendance (SBA). This study examined the trends in IPV and SBA, as well as the different forms of IPV as predictors of SBA in Nigeria.

Methods

Data for the study were derived from a nationally representative weighted sample of 34,294 women selected and interviewed for the questions on the domestic violence module in the three consecutive Nigeria Demographic and Health Surveys conducted in 2008, 2013 and 2018. Descriptive and analytical analyses were carried out, including frequency distribution and binary logistic regression model at the multivariate level. The results of the explanatory variables were expressed as odds ratio (OR) and 95% confidence intervals (CI).

Results

The prevalence of emotional and physical IPV among the sampled women decreased in 2013 from 2008 but later increased in 2018. Sexual IPV increased from 4.1% in 2008 to 7.6% in 2018, while births delivered with the assistance of skilled providers increased from 37.7% in 2008 to 50.8% in 2018. The likelihood of using SBA significantly decreased among women who experienced emotional IPV in 2008 (aOR: 0.74; CI: 0.63–0.87) and sexual IPV in 2018 (aOR: 0.62; CI: 0.45–0.86). Women who experienced physical IPV were more likely to use SBA in 2008, 2013 and 2018 (aOR: 1.72; CI: 1.55–1.92; aOR: 1.40; CI: 1.26–1.56 and aOR: 1.33; CI: 1.15–1.54, respectively). The covariates have varying degrees of influence on SBA across the survey years.

Conclusions

The showed that the prevalence of emotional and physical IPV increased in 2018 after a decrease in 2013, with an increase in sexual IPV and the use of SBA across the survey years. Also, emotional and sexual IPV, unlike physical IPV are associated with low chances of using SBA. There is a need for more pragmatic intervention programmes towards eliminating all forms of violence against all women, reducing maternal and child mortality and promoting the empowerment of women.

How applicable is geospatial analysis in maternal and neonatal health in sub-Saharan Africa? A systematic review

Background

Sub-Saharan Africa (SSA) has the world's highest maternal and neonatal morbidity and mortality and has shown the slowest progress in reducing them. In addition, there is substantial inequality in terms of maternal and neonatal morbidity and mortality in the region. Geospatial studies can help prioritize scarce resources by pinpointing priority areas for implementation. This systematic review was conducted to explore the application of geospatial analysis to maternal and neonatal morbidity and mortality in SSA.

Methods

A systematic search of PubMed, SCOPUS, EMBASE, and Web of Science databases was performed. All observational and qualitative studies that reported on maternal or neonatal health outcomes were included if they used a spatial analysis technique and were conducted in a SSA country. After removing duplicates, two reviewers independently reviewed each study's abstract and full text for inclusion. Furthermore, the quality of the studies was assessed using the Joanna Briggs Institute (JBI) critical appraisal checklists. Finally, due to the heterogeneity of studies, narrative synthesis was used to summarize the main findings, and Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guideline was strictly followed to report the review results. A total of 56 studies were included in the review.

Results

We found that geospatial analysis was used to identify inequalities in maternal and neonatal morbidity, mortality, and health care utilization and to identify gaps in the availability and geographic accessibility of maternal health facilities. In addition, we identified a few studies that used geospatial analysis for modelling intervention areas. We also detected challenges and shortcomings, such as unrealistic assumptions used by geospatial models and a shortage of reliable, up-to-date, small-scale georeferenced data.

Conclusions

The use of geospatial analysis for maternal and neonatal health in SSA is still limited, and more detailed spatial data are required to exploit the potential of geospatial technologies fully.

Delineating natural catchment health districts with routinely collected health data from women's travel to give birth in Ghana

Background

Health service areas are essential for planning, policy and managing public health interventions. In this study, we delineate health service areas from routinely collected health data as a robust geographic basis for presenting access to maternal care indicators.

Methods

A zone design algorithm was adapted to delineate health service areas through a cross-sectional, ecological study design. Health sub-districts were merged into health service areas such that patient flows across boundaries were minimised. Delineated zones and existing administrative boundaries were used to provide estimates of access to maternal health services. We analysed secondary data comprising routinely collected health records from 32,921 women attending 27 hospitals to give birth, spatial demographic data, a service provision assessment on the quality of maternal healthcare and health sub-district boundaries from Eastern Region, Ghana.

Results

Clear patterns of cross border movement to give birth emerged from the analysis, but more women originated closer to the hospitals. After merging the 250 sub-districts in 33 districts, 11 health service areas were created. The minimum percent of internal flows of women giving birth within any health service area was 97.4%. Because the newly delineated boundaries are more “natural” and sensitive to observed flow patterns, when we calculated areal indicator estimates, they showed a marked improvement over the existing administrative boundaries, with the inclusion of a hospital in every health service area.

Conclusion

Health planning can be improved by using routine health data to delineate natural catchment health districts. In addition, data-driven geographic boundaries derived from public health events will improve areal health indicator estimates, planning and interventions.

Why do women attend antenatal care but give birth at home? a qualitative study in a rural Ghanaian District

BACKGROUND

The Sustainable Development Goal Three has prioritised reducing maternal, under-5 and neonatal mortalities as core global health policy objectives. The place, where expectant mothers choose to deliver their babies has a direct effect on maternal health outcomes. In sub-Saharan Africa, existing literature has shown that some women attend antenatal care during pregnancy but choose to deliver their babies at home. Using the Andersen and Newman Behavioural Model, this study explored the institutional and socio-cultural factors motivating women to deliver at home after attending antenatal care.

METHODS

A qualitative, exploratory, cross-sectional design was deployed. Data were collected from a purposive sample of 23 women, who attended antenatal care during pregnancy but delivered their babies at home, 10 health workers and 17 other community-level stakeholders. The data were collected through semi-structured interviews, which were audio-recorded, transcribed and thematically analysed.

RESULTS

In line with the Andersen and Newman Model, the study discovered that traditional and religious belief systems about marital fidelity and the role of the gods in childbirth, myths about consequences of facility-based delivery, illiteracy, and weak women's autonomy in healthcare decision-making, predisposed women to home delivery. Home delivery was also enabled by inadequate midwives at health facilities, the unfriendly attitude of health workers, hidden charges for facility-based delivery, and long distances to healthcare facilities. The fear of caesarean section, also created the need for women who attended antenatal care to deliver at home.

CONCLUSION

The study has established that socio-cultural and institutional level factors influenced women's decisions to deliver at home. We recommend a general improvement in the service delivery capacity of health facilities, and the implementation of collaborative educational and women empowerment programmes by stakeholders, to strengthen women's autonomy and reshape existing traditional and religious beliefs facilitating home delivery.

Distance matters: barriers to antenatal care and safe childbirth in a migrant population on the Thailand-Myanmar border from 2007 to 2015, a pregnancy cohort study

BACKGROUND

Antenatal care and skilled childbirth services are important interventions to improve maternal health and lower the risk of poor pregnancy outcomes and mortality. A growing body of literature has shown that geographic distance to clinics can be a disincentive towards seeking care during pregnancy. On the Thailand-Myanmar border antenatal clinics serving migrant populations have found high rates of loss to follow-up of 17.4%, but decades of civil conflict have made the underlying factors difficult to investigate. Here we perform a comprehensive study examining the geographic, demographic, and health-related factors contributing to loss to follow-up.

METHODS

Using patient records we conducted a spatial and epidemiological analysis looking for predictors of loss to follow-up and pregnancy outcomes between 2007 and 2015. We used multivariable negative binomial regressions to assess for associations between distance travelled to the clinic and birth outcomes (loss to follow-up, pregnancy complications, and time of first presentation for antenatal care.) RESULTS: We found distance travelled to clinic strongly predicts loss to follow-up, miscarriage, malaria infections in pregnancy, and presentation for antenatal care after the first trimester. People lost to follow-up travelled 50% farther than people who had a normal singleton childbirth (a ratio of distances (DR) 1.5; 95% confidence interval (CI): 1.4 - 1.5). People with pregnancies complicated by miscarriage travelled 20% farther than those who did not have miscarriages (DR: 1.2; CI 1.1-1.3), and those with Plasmodium falciparum malaria in pregnancy travelled 60% farther than those without P. falciparum (DR: 1.6; CI: 1.6 - 1.8). People who delayed antenatal care until the third trimester travelled 50% farther compared to people who attended in the first trimester (DR: 1.5; CI: 1.4 - 1.5).

CONCLUSIONS

This analysis provides the first evidence of the complex impact of geography on access to antenatal services and pregnancy outcomes in the rural, remote, and politically complex Thailand-Myanmar border region. These findings can be used to help guide evidence-based interventions to increase uptake of maternal healthcare both in the Thailand-Myanmar region and in other rural, remote, and politically complicated environments.

The effects of geographical accessibility to health facilities on antenatal care and delivery services utilization in Benin: a cross-sectional study

Background

The world is making progress toward achieving maternal and child health (MCH) related components of the Sustainable Development Goals. Nevertheless, the progress of many countries in Sub-Saharan Africa is lagging. Geographical accessibility from residence to health facilities is considered a major obstacle hampering the use of appropriate MCH services. Benin, a country where the southern and northern parts belong to different geographical zones, has among the highest maternal mortality rate in the world. Adequate use of MCH care is important to save lives of women and their babies. This study assessed the effect of geographical accessibility to health facilities on antenatal care and delivery services utilization in Benin, with an emphasis on geographical zones.

Methods

We pooled two rounds of Benin Demographic and Health Surveys (BDHS). The sample included 18,105 women aged 15–49 years (9111 from BDHS-2011/2012 and 8994 from BDHS-2017/2018) who had live births within five years preceding the surveys. We measured the distance and travel time from residential areas to the closest health center by merging the BDHS datasets with Benin’s geographic information system data. Multivariate logistic regression analysis was performed to estimate the effect of geographical access on pregnancy and delivery services utilization. We conducted a propensity score-matching analysis to check for robustness.

Results

Regression results showed that the distance to the closest health center had adverse effects on the likelihood of a woman receiving appropriate maternal healthcare. The estimates showed that one km increase in straight-line distance to the closest health center reduces the odds of the woman receiving at least one antenatal care by 0.042, delivering in facility by 0.092, and delivering her baby with assistance of skilled birth attendants by 0.118. We also confirmed the negative effects of travel time and altitude of women’s residence on healthcare utilization. Nonetheless, these effects were mainly seen in the northern part of Benin.

Conclusions

Geographical accessibility to health facilities is critically important for the utilization of antenatal care and delivery services, particularly in the northern part of Benin. Improving geographical accessibility, especially in rural areas, is significant for further use of maternal health care in Benin.

Maternal and neonatal mortality rates are still high in many countries in Sub-Saharan Africa. Antenatal care (ANC) visits and institutional delivery with skilled birth attendants are important to prevent maternal and neonatal deaths. Nevertheless, women’s utilization of ANC and delivery services has decreased recently in Benin, a country where the southern and northern parts belong to different geographical zones.

Geographical accessibility from residence to health facilities is considered a major obstacle hampering the use of appropriate maternal healthcare. This study assessed the effect of geographical accessibility on ANC and delivery services utilization in Benin by considering the geographical characteristics.

We used the two rounds of the Benin Demographic and Health Survey 2011/2012 and 2017/2018 and conducted regression analysis.

This study has three important findings: (1) We confirmed adverse effects of distance and travel time on the likelihood of a women receiving appropriate ANC and delivery services in Benin, but this effect was mainly observed in the northern part; (2) Distance and travel time to health facilities had a negative effect on the use of at least one ANC but no significant effect for four or more ANC; (3) Regarding the threshold of distance, we confirmed that women living within 5 km from the closest health center were more likely to use maternal healthcare compared to their counterparts.

In conclusion, geographical accessibility to health facilities is critically important for the utilization of antenatal care and delivery services, particularly in the northern part of Benin.

Perception and Experience of Health Extension Workers on Facilitators and Barriers to Maternal and Newborn Health Service Utilization in Ethiopia: A Qualitative Study

Background: Health extension workers (HEWs) have substantial inputs to reduce maternal and newborn morbidity and mortality in Ethiopia. However, their perceptions and experiences were not well understood. Therefore, this study aimed to explore their perceptions and experiences on facilitators and barriers to maternal and newborn health services in Ethiopia. Methods: A descriptive qualitative study was conducted from 8–28 April 2021 in Oromia, Amhara and Southern Nation, Nationality, and People’s Regional State of Ethiopia. Focused group discussions were made with purposively selected 60 HEWs. The data were transcribed verbatim and translated into English. An inductive thematic analysis was carried out using Atlas ti.7.1. The findings were presented in major themes, categories, and sub-categories with supporting quote(s). Results: The findings were categorized into two major themes (i.e., facilitators and barriers) and seven sub-themes. Community-related facilitators encompass awareness and behavior at the individual, family, and community. Significant others such as traditional birth attendants, religious leaders, women developmental armies, and kebele chairman substantially contributed to service utilization. Availability/access to infrastructures such as telephone, transportation services, and solar energy systems facilitated the service utilization. Furthermore, health facility-related facilitators include the availability of HEWs; free services; supervision and monitoring; maternity waiting rooms; and access to ambulance services. Maternal and newborn health services were affected by community-related barriers (i.e., distance, topography, religious and socio-cultural beliefs/practices, unpleasant rumors, etc.,), health facility-related barriers (i.e., health worker’s behaviors; lack of logistics; lack of adequate ambulance service, and placement and quality of health post), and infrastructure (i.e., lack or poor quality of road and lack of water). Conclusions: The HEWs perceived and experienced a wide range of facilitators and barriers that affected maternal and newborn health services. The study findings warrant that there was a disparity in behavioral factors (awareness, beliefs, and behaviors) among community members, including pregnant women. This underscores the need to design health education programs and conduct social and behavioral change communication interventions to address individuals, families, and the broader community to enhance maternal and newborn health service utilization. On the other hand, the health sector should put into practice the available strategies, and health workers provide services with empathy, compassion, and respect.

Characterizing human mobility patterns in rural settings of sub-Saharan Africa

Human mobility is a core component of human behavior and its quantification is critical for understanding its impact on infectious disease transmission, traffic forecasting, access to resources and care, intervention strategies, and migratory flows. When mobility data are limited, spatial interaction models have been widely used to estimate human travel, but have not been extensively validated in low- and middle-income settings. Geographic, sociodemographic, and infrastructure differences may impact the ability for models to capture these patterns, particularly in rural settings. Here, we analyzed mobility patterns inferred from mobile phone data in four Sub-Saharan African countries to investigate the ability for variants on gravity and radiation models to estimate travel. Adjusting the gravity model such that parameters were fit to different trip types, including travel between more or less populated areas and/or different regions, improved model fit in all four countries. This suggests that alternative models may be more useful in these settings and better able to capture the range of mobility patterns observed.

A review of geospatial methods for population estimation and their use in constructing reproductive, maternal, newborn, child and adolescent health service indicators

Background

Household survey data are frequently used to measure reproductive, maternal, newborn, child and adolescent health (RMNCAH) service utilisation in low and middle income countries. However, these surveys are typically only undertaken every 5 years and tend to be representative of larger geographical administrative units. Investments in district health management information systems (DHMIS) have increased the capability of countries to collect continuous information on the provision of RMNCAH services at health facilities. However, reliable and recent data on population distributions and demographics at subnational levels necessary to construct RMNCAH coverage indicators are often missing. One solution is to use spatially disaggregated gridded datasets containing modelled estimates of population counts. Here, we provide an overview of various approaches to the production of gridded demographic datasets and outline their potential and their limitations. Further, we show how gridded population estimates can be used as alternative denominators to produce RMNCAH coverage metrics in combination with data from DHMIS, using childhood vaccination as examples.

Methods

We constructed indicators on the percentage of children one year old for diphtheria, pertussis and tetanus vaccine dose 3 (DTP3) and measles vaccine dose (MCV1) in Zambia and Nigeria at district levels. For the numerators, information on vaccines doses was obtained from each country’s respective DHMIS. For the denominators, the number of children was obtained from 3 different sources including national population projections and aggregated gridded estimates derived using top-down and bottom-up geospatial methods.

Results

In Zambia, vaccination estimates utilising the bottom-up approach to population estimation substantially reduced the number of districts with > 100% coverage of DTP3 and MCV1 compared to estimates using population projection and the top-down method. In Nigeria, results were mixed with bottom-up estimates having a higher number of districts > 100% and estimates using population projections performing better particularly in the South.

Conclusions

Gridded demographic data utilising traditional and novel data sources obtained from remote sensing offer new potential in the absence of up to date census information in the estimation of RMNCAH indicators. However, the usefulness of gridded demographic data is dependent on several factors including the availability and detail of input data.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12913-021-06370-y.

Implications for Tracking SDG Indicator Metrics with Gridded Population Data

Achieving the seventeen United Nations Sustainable Development Goals (SDGs) requires accurate, consistent, and accessible population data. Yet many low- and middle-income countries lack reliable or recent census data at the sufficiently fine spatial scales needed to monitor SDG progress. While the increasing abundance of Earth observation-derived gridded population products provides analysis-ready population estimates, end users lack clear use criteria to track SDGs indicators. In fact, recent comparisons of gridded population products identify wide variation across gridded population products. Here we present three case studies to illuminate how gridded population datasets compare in measuring and monitoring SDGs to advance the “fitness for use” guidance. Our focus is on SDG 11.5, which aims to reduce the number of people impacted by disasters. We use five gridded population datasets to measure and map hazard exposure for three case studies: the 2015 earthquake in Nepal; Cyclone Idai in Mozambique, Malawi, and Zimbabwe (MMZ) in 2019; and flash flood susceptibility in Ecuador. First, we map and quantify geographic patterns of agreement/disagreement across gridded population products for Nepal, MMZ, and Ecuador, including delineating urban and rural populations estimates. Second, we quantify the populations exposed to each hazard. Across hazards and geographic contexts, there were marked differences in population estimates across the gridded population datasets. As such, it is key that researchers, practitioners, and end users utilize multiple gridded population datasets—an ensemble approach—to capture uncertainty and/or provide range estimates when using gridded population products to track SDG indicators. To this end, we made available code and globally comprehensive datasets that allows for the intercomparison of gridded population products.

Healthcare-seeking behaviour in reporting of scabies and skin infections in Ghana: A review of reported cases

BACKGROUND

Scabies is a neglected tropical disease. In resource-poor settings, scabies and other skin infections are often unreported to a health centre, or misdiagnosed. Dermatological expertise and training are often lacking. Little is known about patient healthcare-seeking behaviour. This study reviewed diagnosed skin infections reported to urban (Greater Accra) and rural (Oti region) study health centres in Ghana over six months in 2019.

METHODS

Study staff received classroom and clinical dermatology training. Skin infection diagnoses and anonymised patient information were recorded. Descriptive statistics and spatial analysis described patient demographics, and distance travelled to clinic, noting bypassing of their nearest centre.

RESULTS

Overall, 385 cases of skin infections were reported across the Greater Accra and Oti study clinics, with 45 scabies cases (11.6%). For scabies, 29 (64.4%) cases were in males. Scabies was the third most common diagnosis, behind bacterial dermatitis (102, 26.5%) and tinea (75, 19.5%). In the rural Oti region, 48.4% of patients bypassed their nearest clinic, travelling a mean 6.2 km further than they theoretically needed to. Females travelled further in comparison to males.

Are Ghanaian women meeting the WHO recommended maternal healthcare (MCH) utilisation? Evidence from a national survey

Background

To achieve the Sustainable Development Goal target 3.1, the World Health Organisation recommends that all pregnant women receive antenatal care (ANC) from skilled providers, utilise the services of a skilled birth attendant at birth and receive their first postnatal care (PNC) within the first 24 h after birth. In this paper, we examined the maternal characteristics that determine utilisation of skilled ANC, skilled birth attendance (SBA), and PNC within the first 24 h after delivery in Ghana.

Methods

We used data from the 2014 Ghana Demographic and Health Survey. Women aged 15-49 with birth history not exceeding five before the survey were included in the study. A total of 2839 women were included. Binary logistic regression was employed at a 95% level of significance to determine the association between maternal factors and maternal healthcare (MCH) utilisation. Bivariate and multivariate regression was subsequently used to assess the drivers.

Results

High proportion of women had ANC (93.2%) with skilled providers compared to the proportion that had SBA (76.9%) and PNC within the first 24 h after delivery (25.8%). Only 21.2% utilised all three components of MCH. Women who were covered by national health insurance scheme (NHIS) had a higher likelihood (AOR = 1.31, CI = 1.04 – 1.64) of utilising all three components of MCH as compared to those who were not covered by NHIS. Women with poorer wealth status (AOR = 0.72, CI = 0.53 – 0.97) and those living with partners (AOR = 0.65, CI = 0.49 – 0.86) were less likely to utilise all three MCH components compared to women with poorest wealth status and the married respectively.

Conclusion

The realisation that poorer women, those unsubscribed to NHIS and women living with partners have a lower likelihood of utilising the WHO recommended MCH strongly suggest that it is crucial for the Ministry of Health and the Ghana Health Service to take pragmatic steps to increase education about the importance of having ANC with a skilled provider, SBA, and benefits of having the first 24 h recommended PNC.

Postnatal care utilisation among women in rural Ghana: analysis of 2014 Ghana demographic and health survey

Background

Maternal mortality is high in Ghana, averaging 310 maternal deaths per 100,000 live births in 2017. This is partly due to inadequate postnatal care especially among rural communities. Ghana can avert the high maternal deaths if women meet the World Health Organisation’s recommended early postnatal care check-up. Despite the association between geographical location and postnatal care utilisation, no study has been done on determinants of postnatal care among rural residents in Ghana. Therefore, this study determined the prevalence and correlates of postnatal care utilization among women in rural Ghana.

Methods

The study utilised women’s file of the 2014 Ghana Demographic and Health Survey (GDHS). Following descriptive computation of the prevalence, binary logistic regression was fitted to assess correlates of postnatal care at 95% confidence interval. The results were presented in adjusted odds ratio (AOR). Any AOR less than 1 was interpreted as reduced likelihood of PNC attendance whilst AOR above 1 depicted otherwise. All analyses were done using Stata version 14.0.

Results

The study revealed that 74% of the rural women had postnatal care. At the inferential level, women residing in Savanna zone had higher odds of postnatal care compared to those in the Coastal zone [AOR = 1.80, CI = 1.023–3.159], just as among the Guan women as compared to the Akan [AOR = 7.15, CI = 1.602–31.935]. Women who were working were more probable to utilise postnatal care compared to those not working [AOR = 1.45, CI = 1.015–2.060]. Those who considered distance as unproblematic were more likely to utilise postnatal care compared to those who considered distance as problematic [AOR = 1.63, CI = 1.239–2.145].

Conclusions

The study showed that ethnicity, ecological zone, occupation and distance to health facility predict postnatal care utilisation among rural residents of Ghana. The study points to the need for government to increase maternal healthcare facilities in rural settings in order to reduce the distance covered by women in seeking postnatal care.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12884-020-03497-4.

The influence of travel time to health facilities on stillbirths: A geospatial case-control analysis of facility-based data in Gombe, Nigeria

Access to quality emergency obstetric and newborn care (EmONC); having a skilled attendant at birth (SBA); adequate antenatal care; and efficient referral systems are considered the most effective interventions in preventing stillbirths. We determined the influence of travel time from mother's area of residence to a tertiary health facility where women sought care on the likelihood of delivering a stillbirth. We carried out a prospective matched case-control study between 1st January 2019 and 31st December 2019 at the Federal Teaching Hospital Gombe (FTHG), Nigeria. All women who experienced a stillbirth after hospital admission during the study period were included as cases while controls were consecutive age-matched (ratio 1:1) women who experienced a live birth. We modelled travel time to health facilities. To determine how travel time to the nearest health facility and the FTHG were predictive of the likelihood of stillbirths, we fitted a conditional logistic regression model. A total of 318 women, including 159 who had stillborn babies (cases) and 159 age-matched women who had live births (controls) were included. We did not observe any significant difference in the mean travel time to the nearest government health facility for women who had experienced a stillbirth compared to those who had a live birth [9.3 mins (SD 7.3, 11.2) vs 6.9 mins (SD 5.1, 8.7) respectively, p = 0.077]. However, women who experienced a stillbirth had twice the mean travel time of women who had a live birth (26.3 vs 14.5 mins) when measured from their area of residence to the FTHG where deliveries occurred. Women who lived farther than 60 minutes were 12 times more likely of having a stillborn [OR = 12 (1.8, 24.3), p = 0.011] compared to those who lived within 15 minutes travel time to the FTHG. We have shown for the first time, the influence of travel time to a major tertiary referral health facility on the occurrence of stillbirths in an urban city in, northeast Nigeria.

Trends and correlates of maternal, newborn and child health services utilization in primary healthcare facilities: an explorative ecological study using DHIMSII data from one district in the Volta region of Ghana

Background

Sustainable Development Goal 3 aims at reducing global neonatal mortality to at least 12 per 1000 livebirths, under-five mortality to at least 25 per 1000 livebirths and maternal mortality ratio to less than 70 per 100,000 livebirths by 2030. Considering the achievement so far, many countries in sub-Saharan Africa, including Ghana are not likely to achieve these targets. Low utilization of maternal, newborn and child health (MNCH) services partly account for this predicament. This study explored the trend and correlates of MNCH services utilization in one administrative district in the Volta Region of Ghana.

Methods

This is an explorative ecological study employing trend analysis of 2015–2017 data from Ghana Health Service District Health Information Management System II. Univariate Poisson regression models were used to determine the factors associated with MNCH services utilization at 95% confidence level.

Results

Cumulative record of 17,052 antenatal care (ANC) attendance and 2162 facility-based spontaneous vaginal deliveries (SVDs) was discovered. Compelling evidence of potential unskilled deliveries was observed in 23% of the 26 facilities reported in the DHIMSII data. High cumulative number of midwives in health facilities associated positively with high records of ANC visits (IRR = 1.30, [95% CI:1.29, 1.32]; p = 0.0001), facility-based SVDs (IRR = 1.30 [95% CI:1.25, 1.35]; p = 0.0001) and BCG immunizations (IRR = 1.32 [95% CI:1.29, 1.34]; p = 0.0001). Likewise, high records of ANC visits correlated positively with high facility-based SVDs and child immunizations records (p < 0.0001).

Conclusion

Targeted health system and community level interventions alongside progressive frontline health staff motivation and retention strategies could further enhance enrollment and retention of mothers in pre-natal and postnatal care services throughout the continuum of care to guarantee better MNCH health outcomes. Investments in universal coverage for quality ANC services has the potential to enhance utilization of supervised deliveries and post-natal care services such as immunizations.

Spatial inequalities in skilled attendance at birth in Ghana: a multilevel analysis integrating health facility databases with household survey data

Objective

This study aimed at using survey data to predict skilled attendance at birth (SBA) across Ghana from healthcare quality and health facility accessibility.

Methods

Through a cross-sectional, observational study, we used a random intercept mixed effects multilevel logistic modelling approach to estimate the odds of having SBA and then applied model estimates to spatial layers to assess the probability of SBA at high-spatial resolution across Ghana. We combined data from the Demographic and Health Survey (DHS), routine birth registers, a service provision assessment of emergency obstetric care services, gridded population estimates and modelled travel time to health facilities.

Results

Within an hour’s travel, 97.1% of women sampled in the DHS could access any health facility, 96.6% could reach a facility providing birthing services, and 86.2% could reach a secondary hospital. After controlling for characteristics of individual women, living in an urban area and close proximity to a health facility with high-quality services were significant positive determinants of SBA uptake. The estimated variance suggests significant effects of cluster and region on SBA as 7.1% of the residual variation in the propensity to use SBA is attributed to unobserved regional characteristics and 16.5% between clusters within regions.

Conclusion

Given the expansion of primary care facilities in Ghana, this study suggests that higher quality healthcare services, as opposed to closer proximity of facilities to women, is needed to widen SBA uptake and improve maternal health.