Determinants of subnational disparities in antenatal care utilisation: a spatial analysis of demographic and health survey data in Kenya

Determinants of quality antenatal care use in Kenya: Insights from the 2022 Kenya Demographic and Health Survey

Provision of quality antenatal care (ANC) is important to reduce maternal and newborn fatalities worldwide. However, the use of quality ANC by women of reproductive age and associated factors remain unclear in many developing countries. Therefore, this study aimed to determine factors associated with receiving quality ANC in Kenya among women of reproductive age. We analyzed secondary data from the 2022 Kenya Demographic Health Survey, which included 11,863 women. Participants were selected using two-stage stratified sampling. Univariate and multivariable logistic regression analyses were used to analyze the data. Of the 11,863 participating women, 61.2% (95% confidence interval (CI): 59.7%-62.6%) received quality ANC. Participants aged 20-34 years had a 1.82 (95%CI: 1.15-2.87) times higher likelihood of receiving quality ANC compared with those aged 15-19 years. Those who had attended four or more ANC visits were 1.42 (95%CI: 1.14-1.79) times more likely to receive quality ANC than those who attended three or fewer visits. Participants with media access were 1.47 (95%CI: 1.06-2.03) times more likely to receive quality ANC than those without media access. Compared with participants in the "poorest" quintile, the likelihood of receiving quality ANC was 1.93 (95%CI: 1.21-3.08) and 1.44 (95%CI: 1.01-2.06) times higher for participants in the "richest" and "richer" quintiles, respectively. Furthermore, compared with participants from the Coastal region, the odds of receiving quality ANC were 0.25 (95%CI: 0.15-0.31) to 0.64 (95%CI: 0.44-0.92) times lower for those from all other Kenyan regions. Participants whose partners made their healthcare decisions were 0.74 (95%CI: 0.58-0.95) times less likely to receive quality ANC than those who made decisions independently. We found that just over 60% of participating mothers had received quality ANC. Factors associated with receiving quality ANC were: age, region, maternal education, healthcare-seeking decision-making, access to media, time to the health facility, ANC visits, and ANC provider type (doctor, nurse/midwife/clinical officer). Maternal health improvement programs should prioritize promoting access to education for girls. Furthermore, interventions should focus on promoting shared decision-making and autonomy in healthcare-seeking behaviors among pregnant women and their partners, increasing access to care provided by skilled healthcare workers, and addressing regional disparities in healthcare delivery.

Only 9% of mothers have eight and more ANC visit in 14 sub-saharan African countries; evidence from the most recent DHS 2018-2023: a multilevel analysis

BACKGROUND

The world health organization's global health observatory defines maternal mortality as annual number of female deaths, regardless of the period or location of the pregnancy, from any cause related to or caused by pregnancy or its management (aside from accidental or incidental causes) during pregnancy and childbirth or within 42 days of termination of pregnancy and an estimated 287 000 women worldwide passed away from maternal causes between 2016 and 2020, that works out to be about 800 deaths per day or about one every two minutes.

METHOD

The most recent 2018-2023 DHS data set of 14 SSA countries was used a total of 89,489 weighted mothers who gave at list one live birth 3 years preceding the survey were included, a multilevel analysis was conducted. In the bi-variable analysis variables with p-value ≤ 0.20 were included in the multivariable analysis, and in the multivariable analysis, variables with p-value less than ≤ 0.05 were considered to be significant factors associated with having eight and more ANC visits.

RESULT

The magnitude of having eight and more ANC visits in 14 sub-Saharan African countries was 8.9% (95% CI: 8.76-9.13) ranging from 3.66% (95% CI: 3.54-3.79) in Gabon to 18.92% (95% CI: 18.67-19.17) in Nigeria. The multilevel analysis shows that maternal age (40-44, AOR;2.09, 95%CI: 1.75-2.53), maternal occupational status (AOR;1.14, 95%CI; 1.07-1.22), maternal educational level (secondary and above, AOR;1.26, 95%CI; 1.16-1.38), wealth status(AOR;1.65, 95%CI; 1.50-1.82), media exposure (AOR;1.20, 95%CI; 1.11-1.31), pregnancy intention (AOR;1.12, 95%CI; 1.05-1.20), ever had terminated pregnancy (AOR;1.16 95%CI; 1.07-1.25), timely initiation of first ANC visit (AOR;4.79, 95%CI; 4.49-5.10), empowerment on respondents health care (AOR;1.43, 95%CI; 1.30-1.56), urban place of residence (AOR;1.33, 95%CI; 1.22-1.44) were factors highly influencing the utilization of AN. On the other hand higher birth order (AOR;0.54, 95%CI; 0.53-0.66), not using contraceptive (AOR;0.80, 95%CI; 0.75-0.86) and survey year (AOR;0.47, 95%CI; 0.34-0.65) were factors negatively associated with having eight and more ANC visits.

CONCLUSION

In the 14 SSA included in this study, there is low adherence to WHO guidelines of eight and more ANC visits. Being educated, having jobs, getting access to media being from rural residence and rich wealth group contribute to having eight and more ANC visits, so we highly recommend policy implementers to advocate this practices.

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

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

Early Sexual Debut and the Associated Factors among School Going Adolescents in Selected Schools in Kenya

Background

Early sexual debut among adolescents' results in sexual and reproductive health consequences including unplanned pregnancies, pregnancy complications and sexually transmitted diseases.

Objective

This study investigated the factors influencing early sexual debut among 13-19 years old students in secondary schools in Kiambu County, Kenya.

Methodology

A descriptive cross-sectional study was carried out in two secondary schools in Kiambu County. A sample of 208 was calculated using Fischer's two stage formula and proportionately distributed per school population size. Students in each school were stratified into classes and respondents were selected by simple random sampling from each stratum. Responses were sought using self-administered questionnaires.

Results

Among the respondents 11(66.5%), 48(28.7%) and 8(4.8%) were aged 13-15, below 13 and above 15 years, respectively. Eighty-four (50.2%) respondents were male, 105(62.9%) lived with both parents while 41(24.6%) lived with mothers. Early sexual debut was (60.5%), being higher in males, 57 (67.9 %) compared to females, 44 (39.6 %). More than half of the respondents, 117(69.6%), thought sex before marriage was appropriate, among whom 75(64.1%), have had sex. Most of those who reported sexual debut, 69.9%, said that sexual encounter happened during school breaks. Reasons for refraining included fear of guardian (49.4%) and fear of HIV/AIDS 89(52.7%). However, more than two thirds, 71(70.3%) of those who feared HIV/AIDS and STI as a consequence of early sexual debut have had sex. Gender (P=.032), knowledge on sex (P=.025), use of mobile phones (P=.019), peer pressure (P=.046) and poverty (P =.037) were significantly associated with early sexual debut.

Conclusion

A significant proportion of secondary school adolescents were engaged in early sexual debut. Thus, public health interventions should consider the broader determinants of early sexual debut, including the ecological factors in which the behavior occurs.

Adapting the preterm birth phenotyping framework to a low-resource, rural setting and applying it to births from Migori County in western Kenya

BACKGROUND

Preterm birth is the leading cause of neonatal and under-five mortality worldwide. It is a complex syndrome characterized by numerous etiologic pathways shaped by both maternal and fetal factors. To better understand preterm birth trends, the Global Alliance to Prevent Prematurity and Stillbirth published the preterm birth phenotyping framework in 2012 followed by an application of the model to a global dataset in 2015 by Barros, et al. Our objective was to adapt the preterm birth phenotyping framework to retrospective data from a low-resource, rural setting and then apply the adapted framework to a cohort of women from Migori, Kenya.

METHODS

This was a single centre, observational, retrospective chart review of eligible births from November 2015 - March 2017 at Migori County Referral Hospital. Adaptations were made to accommodate limited diagnostic capabilities and data accuracy concerns. Prevalence of the phenotyping conditions were calculated as well as odds of adverse outcomes.

RESULTS

Three hundred eighty-seven eligible births were included in our study. The largest phenotype group was none (no phenotype could be identified; 41.1%), followed by extrauterine infection (25.1%), and antepartum stillbirth (16.7%). Extrauterine infections included HIV (75.3%), urinary tract infections (24.7%), malaria (4.1%), syphilis (3.1%), and general infection (3.1%). Severe maternal condition was ranked fourth (15.6%) and included anaemia (69.5%), chronic respiratory distress (22.0%), chronic hypertension prior to pregnancy (5.1%), diabetes (3.4%), epilepsy (3.4%), and sickle cell disease (1.7%). Fetal anaemia cases were the most likely to transfer to the newborn unit (OR 5.1, 95% CI 0.8, 30.9) and fetal anomaly cases were the most likely to result in a pre-discharge mortality (OR 3.9, 95% CI 0.8, 19.2).

CONCLUSIONS

Using routine data sources allowed for a retrospective analysis of an existing dataset, requiring less time and fewer resources than a prospective study and demonstrating a feasible approach to preterm phenotyping for use in low-resource settings to inform local prevention strategies.

Predicting the drop out from the maternal, newborn and child healthcare continuum in three East African Community countries: application of machine learning models

BACKGROUND

For optimal health, the maternal, newborn, and child healthcare (MNCH) continuum necessitates that the mother/child receive the full package of antenatal, intrapartum, and postnatal care. In sub-Saharan Africa, dropping out from the MNCH continuum remains a challenge. Using machine learning, the study sought to forecast the MNCH continuum drop out and determine important predictors in three East African Community (EAC) countries.

METHODS

The study utilised Demographic Health Surveys data from the Democratic Republic of Congo (DRC) (2013/14), Kenya (2014) and Tanzania (2015/16). STATA 17 was used to perform the multivariate logistic regression. Python 3.0 was used to build five machine learning classification models namely the Logistic Regression, Random Forest, Decision Tree, Support Vector Machine and Artificial Neural Network. Performance of the models was assessed using Accuracy, Precision, Recall, Specificity, F1 score and area under the Receiver Operating Characteristics (AUROC).

RESULTS

The prevalence of the drop out from the MNCH continuum was 91.0% in the DRC, 72.4% in Kenya and 93.6% in Tanzania. Living in the rural areas significantly increased the odds of dropping out from the MNCH continuum in the DRC (AOR:1.76;95%CI:1.30-2.38), Kenya (AOR:1.23;95%CI:1.03-1.47) and Tanzania (AOR:1.41;95%CI:1.01-1.97). Lower maternal education also conferred a significant increase in the DRC (AOR:2.16;95%CI:1.67-2.79), Kenya (AOR:1.56;95%CI:1.30-1.84) and Tanzania (AOR:1.70;95%CI:1.24-2.34). Non exposure to mass media also conferred a significant positive influence in the DRC (AOR:1.49;95%CI:1.15-1.95), Kenya (AOR:1.46;95%CI:1.19-1.80) and Tanzania (AOR:1.65;95%CI:1.13-2.40). The Random Forest exhibited superior predictive accuracy (Accuracy = 75.7%, Precision = 79.1%, Recall = 92.1%, Specificity = 51.6%, F1 score = 85.1%, AUROC = 70%). The top four predictors with the greatest influence were household wealth, place of residence, maternal education and exposure to mass media.

CONCLUSIONS

The MNCH continuum dropout rate is very high in the EAC countries. Maternal education, place of residence, and mass media exposure were common contributing factors to the drop out from MNCH continuum. The Random Forest had the highest predictive accuracy. Household wealth, place of residence, maternal education and exposure to mass media were ranked among the top four features with significant influence. The findings of this study can be used to support evidence-based decisions in MNCH interventions and to develop web-based services to improve continuity of care retention.

Exploration of spatial clustering in maternal health continuum of care across districts of India: A geospatial analysis of demographic and health survey data

INTRODUCTION

The continuum of care (CoC) throughout pregnancy, delivery and post-delivery has recently been highlighted as an integrated intervention programme for maternal, new-born, and child health. Existing literature suggests the importance of continuum of care (CoC) for improved maternal and child health outcomes. However due to unavailability of data at the lowest administrative levels, literature on spatial pattern of uptake of full CoC is lacking. The present study attempts to focus on the spatial analysis of CoC in maternal health care in India.

DATA AND METHODS

The study is based on the fourth round of National Family Health Survey data conducted in 2015-16 in India. The outcome variable used is maternal health continuum of care which includes- at least 4 ANC visits, delivery through skilled birth attendant and postnatal check-up within 48 hours of delivery. Univariate and bivariate Local Indicator of Spatial Association (LISA) maps have been generated to show the spatial pattern of CoC across 640 districts in India. We also employed spatial regression techniques to explore the determinants of CoC.

FINDINGS

Percentage of women who followed full CoC was observed to be least for East Kameng (0.0%) district of Arunachal Pradesh and highest in North Goa district (90.4%). Majority of districts where uptake of full CoC was more than 80 percent were found concentrated in southern region on India. Equivalently, findings indicated a strong spatial clustering of full CoC with high-high clusters mostly concentrated in southern districts. Low-low district clusters are concentrated in the states of Uttar Pradesh, Bihar and Madhya Pradesh. For complete CoC the global Moran's I is 0.73 indicating the spatial dependence. The spatial regression analysis suggested that modern contraceptive use, meeting with health worker, urbanization and secondary or above education for women have positive impact on the utilisation of CoC.

CONCLUSION

The spatial pattern indicates district level clustering in uptake of CoC among women. The study suggests policymakers and stakeholders to implement comprehensive interventions at sub-regional levels for ensuring the completion of CoC for women which acts as a preventive measure for adverse outcomes such as-maternal and child mortality.

Spatial variation and inequities in antenatal care coverage in Kenya, Uganda and mainland Tanzania using model-based geostatistics: a socioeconomic and geographical accessibility lens

BACKGROUND

Pregnant women in sub-Saharan Africa (SSA) experience the highest levels of maternal mortality and stillbirths due to predominantly avoidable causes. Antenatal care (ANC) can prevent, detect, alleviate, or manage these causes. While eight ANC contacts are now recommended, coverage of the previous minimum of four visits (ANC4+) remains low and inequitable in SSA.

METHODS

We modelled ANC4+ coverage and likelihood of attaining district-level target coverage of 70% across three equity stratifiers (household wealth, maternal education, and travel time to the nearest health facility) based on data from malaria indicator surveys in Kenya (2020), Uganda (2018/19) and Tanzania (2017). Geostatistical models were fitted to predict ANC4+ coverage and compute exceedance probability for target coverage. The number of pregnant women without ANC4+ were computed. Prediction was at 3 km spatial resolution and aggregated at national and district -level for sub-national planning.

RESULTS

About six in ten women reported ANC4+ visits, meaning that approximately 3 million women in the three countries had  20,000 women having

CONCLUSIONS

These findings will be invaluable to policymakers for annual appropriations of resources as part of efforts to reduce maternal deaths and stillbirths.

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Key Words

• Antenatal care
• District
• Household wealth
• Inequities
• Kenya
• Maternal education
• Model-based geostatistics
• Subnational
• Tanzania
• Travel time to healthcare
• Uganda

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MESH Headings

• Pregnancy
• Female
• Humans
• Prenatal Care
• Kenya/epidemiology
• Geography
• Maternal Death
• Uganda/epidemiology

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Grants

• EP/T003677/1 Engineering and Physical Sciences Research Council
• NIF/R1/201418 Royal Society
• Wellcome Trust
• 203077 Wellcome Trust
• 1234820N Fonds Wetenschappelijk Onderzoek

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Affiliation(s)

Peter M. Macharia Population Health Unit, Kenya Medical Research Institute-Wellcome Trust Research Programme, Nairobi, Kenya Centre for Health Informatics, Computing, and Statistics, Lancaster Medical School, Lancaster University, Lancaster, UK
Noel K. Joseph Population Health Unit, Kenya Medical Research Institute-Wellcome Trust Research Programme, Nairobi, Kenya Centre for Health Informatics, Computing, and Statistics, Lancaster Medical School, Lancaster University, Lancaster, UK
Gorrette Kayondo Nalwadda College of Health Sciences, Makerere University, Kampala, Uganda
Beatrice Mwilike Community Health Nursing Department, School of Nursing, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania
Aduragbemi Banke-Thomas School of Human Sciences, University of Greenwich, London, UK
Lenka Benova Department of Public Health, Institute of Tropical Medicine, Antwerp, Belgium
Olatunji Johnson Department of Mathematics, The University of Manchester, Manchester, UK

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Acceptability and feasibility of community-based provision of urine pregnancy tests to support linkages to reproductive health services in Western Kenya: a qualitative analysis

BACKGROUND

The majority of women living in rural Kenya access antenatal care (ANC) late in pregnancy, and approximately 20% have an unmet need for family planning (FP). This study aimed to determine whether training community health volunteers (CHVs) to deliver urine pregnancy testing (UPT), post-test counselling, and referral to care was an acceptable and feasible intervention to support timely initiation of ANC and uptake of FP.

METHODS

We applied community-based participatory methods to design and implement the pilot intervention between July 2018 and May 2019. We conducted qualitative content analysis of 12 pre-intervention focus group discussions (FGDs) with women, men, and CHVs, and of 4 post-intervention FGDs with CHVs, each with 7-9 participants per FGD group. Using a pragmatic approach, we conducted inductive line-by-line coding to generate themes and subthemes describing factors that positively or negatively contributed to the intervention's acceptability and feasibility, in terms of participants' views and the intervention aims.

RESULTS

We found that CHV-delivered point of care UPT, post-test counselling, and referral to care was an acceptable and feasible intervention to increase uptake of ANC, FP, and other reproductive healthcare services. Factors that contributed to acceptability were: (1) CHV-delivery made UPT more accessible; (2) UPT and counselling supported women and men to build knowledge and make informed choices, although not necessarily for women with unwanted pregnancies interested in abortion; (3) CHVs were generally trusted to provide counselling, and alternative counselling providers were available according to participant preference. A factor that enhanced the feasibility of CHV delivering UPT and counselling was CHV's access to appropriate supplies (e.g. carrying bags). However, factors that detracted from the feasibility of women actually accessing referral services after UPT and counselling included (1) downstream barriers like cost of travel, and (2) some male community members' negative attitudes toward FP. Finally, improved financial, educational, and professional supports for CHVs would be needed to make the intervention acceptable and feasible in the long-term.

CONCLUSION

Training CHVs in rural western Kenya to deliver UPT, post-test counselling, and referral to care was acceptable and feasible to men, women, and CHVs in this context, and may promote early initiation of ANC and uptake of FP. Additional qualitative work is needed to explore implementation challenges, including issues related to unwanted pregnancies and abortion, the financial burden of volunteerism on CHVs, and educational and professional supports for CHVs.

Geographical disparities in obesity prevalence: small-area analysis of the Chilean National Health Surveys

BACKGROUND

Previous representative health surveys conducted in Chile evidenced a high obesity prevalence rate among adults, especially in female and urban areas. Nevertheless, these have limited utility for targeted interventions and local source allocation for prevention. This study analyzes the increments in obesity prevalence rates in populations ≥15 years of age and the geographic variation at the regional level. We also assessed whether the obesity rates have different patterns on a smaller geographic level than national and regional ones.

METHODS

This ecological study analyzed data from two representative national samples of adolescents and adults ≥15 years old, who participated in the last Chilean health surveys, 2009 (n = 5412) and 2016 (n = 6233). Obesity (body mass index≥30 kg/m²) rates were calculated on the national, regional, and Health service (HS) levels, being HS the smallest unit of analysis available. Obesity rates and relative increase to early identify target populations and geographic areas, with 95% confidence intervals (95% CI), were calculated using the sampling design of the national surveys, at the national and regional level, and by gender, age groups, and socioeconomic status. The Fay-Herriot (FH) models, using auxiliary data, were fitted for obesity rate estimates at the HS level.

RESULTS

The relative increase in obesity rate was 37.1% (95%CI 23.3-52.9) at the national level, with a heterogeneous geographic distribution at the regional one. Southern regions had the highest obesity rates in both surveys (Aysén: 35.2, 95%CI 26.9-43.5 in 2009, 44.3 95%CI 37-51.7 in 2016), but higher increases were predominantly in the northern and central areas of the country (relative increase 91.1 95%CI 39.6-110.1 in Valparaiso and 81.6 95%CI 14.4-196.2 in Tarapacá). Obesity rates were higher in females, older age, and lower socioeconomic groups; nevertheless, relative increases were higher in the opposite ones. The FH estimates showed an obesity rates variation at the HS level, where higher rates tend to converge to specific HS areas of each region.

CONCLUSION

Obesity rates and relative increase are diverse across subnational levels and substantially differ from the national estimates, highlighting a pattern that converges to areas with low-middle income households. Our results emphasize geographical disparities in obesity prevalence among adults and adolescents.

Effects of the COVID-19 pandemic on antenatal care utilisation in Kenya: a cross-sectional study

OBJECTIVE

The aim of this study was to assess the effects of COVID-19 on antenatal care (ANC) utilisation in Kenya, including women's reports of COVID-related barriers to ANC and correlates at the individual and household levels.

DESIGN

Cross-sectional study.

SETTING

Six public and private health facilities and associated catchment areas in Nairobi and Kiambu Counties in Kenya.

PARTICIPANTS

Data were collected from 1729 women, including 1189 women who delivered in healthcare facilities before the COVID-19 pandemic (from September 2019-January 2020) and 540 women who delivered during the pandemic (from July through November 2020). Women who delivered during COVID-19 were sampled from the same catchment areas as the original sample of women who delivered before to compare ANC utilisation.

PRIMARY AND SECONDARY OUTCOME MEASURES

Timing of ANC initiation, number of ANC visits and adequate ANC utilisation were primary outcome measures. Among only women who delivered during COVID-19 only, we explored women's reports of the pandemic having affected their ability to access or attend ANC as a secondary outcome of interest.

RESULTS

Women who delivered during COVID-19 had significantly higher odds of delayed ANC initiation (ie, beginning ANC during the second vs first trimester) than women who delivered before (aOR 1.72, 95% CI 1.24 to 2.37), although no significant differences were detected in the odds of attending 4-7 or ≥8 ANC visits versus <4 ANC visits, respectively (aOR 1.12, 95% CI 0.86 to 1.44 and aOR 1.46, 95% CI 0.74 to 2.86). Nearly half (n=255/540; 47%) of women who delivered during COVID-19 reported that the pandemic affected their ability to access ANC.

CONCLUSIONS

Strategies are needed to mitigate disruptions to ANC among pregnant women during pandemics and other public health, environmental, or political emergencies.

Health insurance coverage and timely antenatal care attendance in sub-Saharan Africa

Introduction

Out-of-pocket payments for healthcare remain a significant health financing challenge in sub-Saharan Africa (SSA), preventing women from using maternal health services. There is a paucity of empirical literature on the influence of health insurance coverage on the timeliness of antenatal care (ANC) attendance in low- and middle-income countries. In this study, we examined the association between health insurance coverage and timely ANC attendance among pregnant women in SSA.

Methods

Secondary data from Demographic and Health Surveys conducted between 2015 and 2020 in sixteen (16) sub-Saharan African countries with 113,918 women aged 15-49 years were included in the analysis. The outcome variable was the timing of antenatal care (ANC). A multilevel binary logistic regression analysis was carried out to determine the association between health insurance coverage and timely ANC.

Results

The overall coverage of health insurance and timely antenatal attendance among pregnant women in SSA were 4.4% and 39.0% respectively. At the country level, the highest coverage of health insurance was found in Burundi (24.3%) and the lowest was in Benin (0.9%). For timely ANC attendance, the highest prevalence was in Liberia (72.4%) and the lowest was in Nigeria (24.2%). The results in the model showed that women who were covered by health insurance were more likely to have timely ANC attendance compared to those who were not covered by health insurance (aOR = 1.21, 95% CI = 1.11-1.31).

Conclusion

Our findings show that that being covered under health insurance is associated with higher likelihood of seeking timely ANC attendance. To accelerate progress towards achievement of the Sustainable Development Goal targets by the year 2030, we recommend that governments and health insurance authorities across the sub-Saharan African countries actively implement health insurance policies as well as roll out health educational programmes that facilitate and ensure increased coverage of health insurance.

Joint spatio-temporal modelling of adverse pregnancy outcomes sharing common risk factors at sub-county level in Kenya, 2016-2019

Background

Adverse pregnancy outcomes jointly account for a high proportion of mortality and morbidity among pregnant women and their infants. Furthermore, the burden attributed to adverse pregnancy outcomes remains high and inadequately characterised due to the intricate interplay of its etiology and shared set of important risk factors. This study sought to quantify and map the underlying risk of multiple adverse pregnancy outcomes in Kenya at sub-county level using a shared component space-time modelling framework.

Methods

Reported sub-county level adverse pregnancy outcomes count from January 2016 – December 2019 were obtained from the Kenyan District Health Information System. A Bayesian hierarchical spatio-temporal model was used to estimate the joint burden of adverse pregnancy outcomes in space (sub-county) and time (year). To improve the precision of our estimates over time and space, information across the outcomes were combined via the shared and the outcome-specific components using a shared component model with spatio-temporal interactions.

Results

Overall, the total number of adverse outcomes in pregnancy increased by 14.2% (95% UI: 14.0–14.5) from 88,816 cases in 2016 to 101,455 cases in 2019. Between 2016 and 2019, the estimated low birth weight rate and the pre-term birth rate were 4.5 (95% UI: 4.4–4.7) and 2.3 (95% UI: 2.2–2.5) per 100 live births. The stillbirth and neonatal death rates were estimated to be 18.7 (95% UI: 18.0–19.4) and 6.9 (95% UI: 6.4–7.4) per 1000 live births. The magnitude of the spatio-temporal variation attributed to shared risk was high for pre-term births, low birth weight, neonatal deaths, stillbirths and neonatal deaths, respectively. The shared risk patterns were dominant in sub-counties located along the Indian ocean coastline, central and western Kenya.

Conclusions

This study demonstrates the usefulness of a Bayesian joint spatio-temporal shared component model in exploiting specific and shared risk of adverse pregnancy outcomes sub-nationally. By identifying sub-counties with elevated risks and data gaps, our estimates not only assert the need for bolstering maternal health programs in the identified high-risk sub-counties but also provides a baseline against which to assess the progress towards the attainment of Sustainable Development Goals.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-021-12210-9.

Disrupted Service Delivery? The Impact of Conflict on Antenatal Care Quality in Kenya

Introduction: African countries facing conflict have higher levels of maternal mortality. Understanding the gaps in the utilization of high-quality maternal health care is essential to improving maternal survival in these states. Few studies have estimated the impact of conflict on the quality of health care. In this study, we estimated the impact of conflict on the quality of health care in Kenya, a country with multiple overlapping conflicts and significant disparities in maternal survival.

Materials and Methods: We drew on data on the observed quality of 553 antenatal care (ANC) visits between January and April 2010. Process quality was measured as the percentage of elements of client–provider interactions performed in these visits. For structural quality, we measured the percentage of required components of equipment and infrastructure and the management and supervision in the facility on the day of the visit. We spatially linked the analytical sample to conflict events from January to April 2010. We modeled the quality of ANC as a function of exposure to conflict using spatial difference-in-difference models.

Results: ANC visits that occurred in facilities within 10,000 m of any conflict event in a high-conflict month received 18–21 percentage points fewer components of process quality on average and had a mean management and supervision score that was 12.8–13.5 percentage points higher. There was no significant difference in the mean equipment and infrastructure score at the 5% level. The positive impact of conflict exposure on the quality of management and supervision was driven by rural facilities. The quality of management and supervision and equipment and infrastructure did not modify the impact of conflict on process quality.

Discussion: Our study demonstrates the importance of designing maternal health policy based on the context-specific evidence on the mechanisms through which conflict affects health care. In Kenya, deterioration of equipment and infrastructure does not appear to be the main mechanism through which conflict has affected ANC quality. Further research should focus on better understanding the determinants of the gaps in process quality in conflict-affected settings, including provider motivation, competence, and incentives.

Utilization pattern of antenatal care and determining factors among reproductive-age women in Borama, Somaliland

Background

Antenatal care is essential care given during pregnancy, to diagnose and treat complications that could endanger both the lives of mother and child. The risk of dying from pregnancy-related issues is often associated with a lack of access to antenatal care services. This issue is a prominent matter in developing countries such as Somaliland which has one of the highest maternal mortality rates in the world.

Objective

The objective of this study is to determine the frequency and timing of antenatal care utilization and factors influencing it among reproductive-age women.

Methods

A population-based cross-sectional survey is conducted among 330 randomly selected mothers who gave birth in the past two years in Borama, Somaliland.

Result

Although a significant number of women utilized antenatal care in their pregnancy only 31.1% initiated the first visit within the first trimester and 48.3% received less than the recommended four visits. Fewer antenatal care visits are significantly associated with age (OR = 3.018; CI = 1.264-7.207), gravida (OR = 3.295; CI = 1.200-9.045), and gestation age (OR = 1.737; CI = 1.013-2.979). Early marriage (OR=0.495; CI = 0.252-0.973), and large family size (OR = 3.952; CI = 1.330-11.742) are associated with delay in the commencement of the first antenatal care visit.

Conclusion

Young women, women with multiple pregnancies, women married at a young age, and women with a large family size have a higher probability of delaying prenatal care and having fewer visits. Based on the findings, uplifting the socioeconomic status and literacy level of women through community-based education and developing strategies that would take the determining factors into account may contribute to improved and adequate utilization of antenatal care.

Urban-rural disparities of antenatal care in South East Asia: a case study in the Philippines and Indonesia

Background

The government is obliged to guarantee equal access to antenatal care (ANC) between urban and rural areas. This study aimed to analyze urban-rural disparities in ≥4 ANC visits during pregnancy in the Philippines and Indonesia.

Methods

The study processed data from the 2017 PDHS and the 2017 IDHS. The analysis unit was women aged 15–49 years old who had given birth in the last 5 years. The weighted sample size was 7992 respondents in the Philippines and 14,568 respondents in Indonesia. Apart from ANC as the dependent variable, other variables analyzed were residence, age, husband/partner, education, parity, and wealth. Determination of urban-rural disparities using binary logistic regression.

Results

The results show that women in the urban Philippines are 0.932 times more likely than women in the rural Philippines to make ≥4 ANC visits. On the other side, women in urban Indonesia are more likely 1.255 times than women in rural Indonesia to make ≥4 ANC visits. Apart from the type of residence place (urban-rural), five other tested multivariate variables also proved significant contributions to ANC’s use in both countries, i.e., age, have a husband/partner, education, parity, and wealth status.

Conclusions

The study concluded that disparities exist between urban and rural areas utilizing ANC in the Philippines and Indonesia. Pregnant women in the rural Philippines have a better chance of making ≥4 ANC visits. Meanwhile, pregnant women in urban Indonesia have a better chance of making ≥4 ANC visits.

Modelling geographical accessibility to urban centres in Kenya in 2019

BACKGROUND

Access to major services, often located in urban centres, is key to the realisation of numerous Sustainable Development Goals (SDGs). In Kenya, there are no up-to-date and localised estimates of spatial access to urban centres. We estimate the travel time to urban centres and identify marginalised populations for prioritisation and targeting.

METHODS

Urban centres were mapped from the 2019 Kenya population census and combined with spatial databases of road networks, elevation, land use and travel barriers within a cost-friction algorithm to compute travel time. Seven travel scenarios were considered: i) walking only (least optimistic), ii) bicycle only, iii) motorcycle only, iv) vehicle only (most optimistic), v) walking followed by motorcycle transport, vi) walking followed by vehicle transport, and vii) walking followed by motorcycle and then vehicle transport (most pragmatic). Mean travel time, and proportion of the population within 1-hour and 2-hours of the urban centres were summarized at sub-national units (counties) used for devolved planning. Inequities were explored and correlations between the proportion of the population within 1-hour of an urban centre and ten SDG indicators were computed.

RESULTS

A total of 307 urban centres were digitised. Nationally, the mean travel time was 4.5-hours for the walking-only scenario, 1.0-hours for the vehicle only (most optimistic) scenario and 1.5-hours for the walking-motorcycle-vehicle (most pragmatic) scenario. Forty-five per cent (21.3 million people) and 87% (41.6 million people) of Kenya's population resided within 1-hour of the nearest urban centre for the least optimistic and most pragmatic scenarios respectively. Over 3.2 million people were considered marginalised or living outside the 2-hour threshold in the pragmatic scenario, 16.0 million Kenyans for walking only, and 2.2 million for the most optimistic scenario. County-level spatial access was highly heterogeneous ranging between 8%-100% and 32%-100% of people within the 1-hour threshold for the least and most optimistic scenarios, respectively. Counties in northern and eastern parts of Kenya were generally most marginalised. The correlation coefficients for nine SDG indicators ranged between 0.45 to 0.78 and were statistically significant.

CONCLUSION

Travel time to urban centres in Kenya is heterogeneous. Therefore, marginalised populations should be prioritised during resource allocation and policies should be formulated to enhance equitable access to public services and opportunities in urban areas.

Magnitude of antenatal care service uptake and associated factors among pregnant women: analysis of the 2016 Ethiopia Demographic and Health Survey

Objective

Antenatal and postnatal cares are crucial for the survival and well-being of both the mother and the child. WHO recommends a minimum of four antenatal care (ANC) visits during a pregnancy. In Ethiopia, only 38% of women in the reproductive age make a minimum of first ANC visits. This value is far below the typical rates of least developed countries. This study aimed to calculate the magnitude and identify associated factors of ANC service utilisation among pregnant women in Ethiopia.

Design

Cross-sectional study design.

Setting

Ethiopia.

Participants

A total of 7913 pregnant women participated in the study.

Primary outcome measures

Antenatal care service uptake among pregnant women.

Result

Only 35.5% of the pregnant mothers have used ANC services at least four times and 64.5% of the pregnant mothers have used less than three times during their periods of pregnancy. The study showed that rich women (PR=1.077, 95% CI: 1.029 to 1.127), having access to mass media (PR=1.086, 95% CI: 1.045 to 1.128), having pregnancy complications (PR=1.203, 95% CI: 1.165 to 1.242), secondary education and above (PR=1.112, 95% CI:1.052 to 1.176), husbands’ having secondary education and above (PR=1.085, 95% CI: 1.031 to 1.142) and married (PR=1.187; 95% CI: 1.087 to 1.296), rural women (PR=0.884, 95% CI: 0.846 to 0.924) and women>30 years of age (PR=1.067, 95% CI: 1.024 to 1.111) significantly associated with the ANC service uptake.

Conclusion

The magnitude of ANC service uptake was low. This low magnitude of ANC service utilisation calls for a need to improve community awareness about maternal health. More importantly, intensive health education is required for pregnant women to have better ANC service uptake and follow-up adherence.

Subnational estimates of factors associated with under-five mortality in Kenya: a spatio-temporal analysis, 1993-2014

BACKGROUND

To improve child survival, it is necessary to describe and understand the spatial and temporal variation of factors associated with child survival beyond national aggregates, anchored at decentralised health planning units. Therefore, we aimed to provide subnational estimates of factors associated with child survival while elucidating areas of progress, stagnation and decline in Kenya.

METHODS

Twenty household surveys and three population censuses conducted since 1989 were assembled and spatially aligned to 47 subnational Kenyan county boundaries. Bayesian spatio-temporal Gaussian process regression models accounting for inadequate sample size and spatio-temporal relatedness were fitted for 43 factors at county level between 1993 and 2014.

RESULTS

Nationally, the coverage and prevalence were highly variable with 38 factors recording an improvement. The absolute percentage change (1993-2014) was heterogeneous ranging between 1% and 898%. At the county level, the estimates varied across space and over time with a majority showing improvements after 2008 which was preceded by a period of deterioration (late-1990 to early-2000). Counties in Northern Kenya were consistently observed to have lower coverage of interventions and remained disadvantaged in 2014 while areas around Central Kenya had and historically have had higher coverage across all intervention domains. Most factors in Western and South-East Kenya recorded moderate intervention coverage although having a high infection prevalence of both HIV and malaria.

CONCLUSION

The heterogeneous estimates necessitates prioritisation of the marginalised counties to achieve health equity and improve child survival uniformly across the country. Efforts are required to narrow the gap between counties across all the drivers of child survival. The generated estimates will facilitate improved benchmarking and establish a baseline for monitoring child development goals at subnational level.