Determinants of under-5 mortality in Burkina Faso

Optimizing primary health care in Burkina Faso: an approach informed by EQUIST

Introduction

Burkina Faso has made access to primary health care a national priority by including it in the 2021-2030 national health development plan.

Purpose of research

Our study aimed to analyze the causes of inequalities in access to primary health care, priority interventions and strategies for strengthening primary health care, and their potential impact on reducing maternal and infant mortality.

Results

Diarrheal diseases, malaria, and pneumonia are the main causes of inequalities in infant and child deaths in rural areas. As for maternal deaths, abortion and its complications are the main causes of inequalities in deaths associated with hypertensive disorders. The Sahel, Boucle du Mouhoun, Center-North, East, and Cascades regions are the geographical areas where interventions are essential to reduce inequalities in maternal, neonatal, infant and child deaths and malnutrition.

Conclusions

The national priorities have included all the high-impact interventions for strengthening primary health care identified in our study. Interventions must prioritize the populations in rural areas, the most affected and high-impact geographical regions. This requires the involvement and empowerment of beneficiary communities and the consideration of the fragile safety context.

Risk factors for mortality in an African pediatric emergency department: case of Sourô Sanou Hospital, a prospective, cross-sectional study

BACKGROUND

Childhood mortality rates remain high in sub-Saharan Africa. This study aimed to assess the causes and associated factors of pediatric emergency mortality at the Sourô Sanou University Hospital of Bobo-Dioulasso.

METHODOLOGY

This was a cross-sectional study with prospective collection from June to August 2020. We documented and analyzed demographic and clinical characteristics by means or proportions. Logistic regression was performed to identify the factors associated with childhood mortality.

RESULTS

From 618 pediatric patients admitted to pediatric emergency unit, 80 (12.9%) were documented as death outcomes. The mean age was 34.10 ± 36.38 months. The male sex represented 51.25%. The main diagnoses were severe malaria (61.25%), acute gastroenteritis (11.25%) and pneumonia (10%); 48.75% of the patients were malnourished and only 55% were fully immunized. The average length of hospitalization was 2.73 ± 3.03 days. Mortality was a strongly significant association with late come to the emergency unit (AOR = 1.11, CI = 1.04-1.18), young maternal age (AOR = 0.95, CI = 0.92-0.99) and incomplete vaccination (AOR = 1.94, CI = 1.13-3.31).

CONCLUSION

The in-hospital mortality rate was 12.94%; younger maternal age, delay in consultation, unimmunized or incompletely immunized status and shorter hospital stays were significantly associated with death.

Influence of contraceptive use and other socio-demographic factors on under-five child mortality in Bangladesh: semi-parametric and parametric approaches

BACKGROUND

The under-five child mortality rate is a widely accepted indicator of the development of a country as well as reflects the country's health care system and quality of life. Although the child mortality rate is decreasing over time in Bangladesh, the rate is still high among South Asian countries. The target of the Sustainable Development Goal-3.2 is to reduce the under-five mortality rate in all countries of the world to 25 or fewer per 1000 live births by 2030. The purpose of this study is to identify the socio-demographic factors which have an influence on under-five child mortality in Bangladesh as well as to examine whether contraceptive use has any effect on under-five mortality in Bangladesh. Finally, a comparison has been made between the results obtained from the Cox proportional Hazard Model and Weibull model to find out which model is more efficient for the study data.

METHODS

For the study, data was extracted from Bangladesh Demographic Health Surveys 2017-2018 (BDHS 2017-2018). The Kaplan-Meier survival function has been used to demonstrate the survival probabilities of under-five children. While multivariate analyses of the Cox Proportional Hazard model and Weibull model are used to estimate the under-five mortality risks for various predictors.

RESULTS

The study results show consistently higher survival probabilities for children of mothers who used modern contraceptives during survival periods. Other significant predictors for under-five child mortality include mother's education level (higher education), mother's age (> 20), wealth index (rich), source of drinking water (tube well), and division (Chittagong, Khulna, Mymensingh). Weibull model has given more efficient results than the Cox Proportional Hazard model except for one covariate (water source).

CONCLUSION

Contraceptives use significantly improves the survival chances of children under-five age. This underscores the importance of contraceptive use in the pursuit of a sustainable reduction in under-five mortality in Bangladesh. It also intensifies the need to address the present level of contraceptive use in the country. This may not be due to the use of contraceptives in itself but may be due to the substantial biological and socioeconomic benefits that are concomitant with contraceptive use which may promote both maternal and child health. So, Extra effort should be given by the policymakers to ensure the use of modern contraceptive methods to improve the under-five survival in Bangladesh.

Patterns of child mortality in rural area of Burkina Faso: evidence from the Nanoro health and demographic surveillance system (HDSS)

Background

Half of global child deaths occur in sub-Saharan Africa. Understanding child mortality patterns and risk factors will help inform interventions to reduce this heavy toll. The Nanoro Health and Demographic Surveillance System (HDSS), Burkina Faso was described previously, but patterns and potential drivers of heterogeneity in child mortality in the district had not been studied. Similar studies in other districts indicated proximity to health facilities as a risk factor, usually without distinction between facility types.

Methods

Using Nanoro HDSS data from 2009 to 2013, we estimated the association between under-5 mortality and proximity to inpatient and outpatient health facilities, seasonality of death, age group, and standard demographic risk factors.

Results

Living in homes 40–60 min and > 60 min travel time from an inpatient facility was associated with 1.52 (95% CI: 1.13–2.06) and 1.74 (95% CI: 1.27–2.40) greater hazard of under-5 mortality, respectively, than living in homes < 20 min from an inpatient facility. No such association was found for outpatient facilities. The wet season (July–November) was associated with 1.28 (95% CI: 1.07, 1.53) higher under-5 mortality than the dry season (December–June), likely reflecting the malaria season.

Conclusions

Our results emphasize the importance of geographical proximity to health care, distinguish between inpatient and outpatient facilities, and also show a seasonal effect, probably driven by malaria.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-021-11483-4.

Regional health disparities in Burkina Faso during the period of health care decentralization. Results of a macro-level analysis

BACKGROUND

Burkina Faso has undertaken decentralization reforms in the health care sector to improve the performance of the health system. This study aimed to analyze the differences in health outcomes by health district's demographic and economic status, and the distribution of health resources during the period of health care decentralization.

METHODS

A bivariate correlation analysis was conducted using data at the health districts and regions level. Data from the health management information system (HMIS) and national households' surveys were used.

RESULTS

The results indicate a strong correlation between district's population size and the availability of health resources (P ≤ .05). The health visits per capita and skilled birth attendance are correlated with the economic status of the health district (P ≤ .05). Malnutrition among under-five and maternal mortality was associated with the availability of health personnel and health infrastructures (P ≤ .05). No correlation was found between financial resources and health outcomes.

CONCLUSION

The results indicated disparities in health among the health districts in Burkina Faso. The ways to address this inequality include more transparent resource allocation, as well as policies to address the socio-economic disparities and financial barriers to health services. Further research is needed to collect relevant data and investigate the effects of decentralization, which was not possible in our study.

Anatomy of provincial level inequality in maternal mortality in China during 2004-2016: a new decomposition analysis

BACKGROUND

The maternal mortality ratio (MMR) is an important indicator of maternal health and socioeconomic development. Although China has experienced a large decline in MMR, substantial disparities across regions are still apparent. This study aims to explore causes of socioeconomic related inequality in MMR at the province-level in China from 2004 to 2016.

METHODS

We collected data from various issues of the China Health Statistics Yearbook, China Statistics Yearbook, and China Population and Employment Statistics Yearbook to construct a longitudinal sample of all provinces in China. We first examined determinants of the MMR using province fixed-effect models, accounted for socioeconomic condition, health resource allocation, and access to health care. We then used the concentration index (CI) to measure MMR inequality and employed the direct decomposition method to estimate the marginal impact of the determinants on the inequality index. Importance of the determinants were compared based on logworth values.

RESULTS

During our study period, economically more deprived provinces experienced higher MMR than better-off ones. There was no evidence of improved socioeconomic related inequality in MMR. Illiteracy proportion was positively associated with the MMR (p < 0.01). In contrast, prenatal check-up rate (p = 0.05), hospital delivery rate (p < 0.01) and rate of delivery attended by professionals (p = 0.02) were negatively associated with the MMR. We also find that higher maternal health profile creation rate (p < 0.01) was associated with a pro-poor change of MMR inequality.

CONCLUSION

Access to healthcare was the most important factor in explaining the persistent MMR inequality in China, followed by socioeconomic condition. We do not find evidence that health resource allocation was a contributing factor.