Risk factors for mortality among Tanzanian infants and children

The effect of the implementation of the international code of marketing of breast-milk substitutes on child mortality in Ghana and Tanzania

OBJECTIVE

The International Code of Marketing of Breast-Milk Substitutes is an important instrument to protect and promote appropriate infant and young child feeding and the safe use of commercial milk formulas. Ghana and Tanzania implemented the Code into national legislation in 2000 and 1994, respectively. We aimed to estimate the effects of the Code implementation on child mortality (CM) in both countries.

SETTING

The countries analysed were Ghana and Tanzania.

PARTICIPANTS

For CM and HIV rates, data from the Institute for Health Metrics and Evaluation from up to 2019 were used. Data for income and skilled birth rates were retrieved from the World Bank, for fertility from the World Population Prospects, for vaccination from the Global Health Observatory and for employment from the International Labour Organization.

DESIGN

We used the synthetic control group method and performed placebo tests to assess statistical inference. The primary outcomes were CM by lower respiratory infections, mainly pneumonia, and diarrhoea and the secondary outcome was overall CM.

RESULTS

One-sided inference tests showed statistically significant treatment effects for child deaths by lower respiratory infections in Ghana (P = 0·0476) and Tanzania (P = 0·0476) and for diarrhoea in Tanzania (P = 0·0476). More restrictive two-sided inference tests showed a statistically significant treatment effect for child deaths by lower respiratory infections in Ghana (P = 0·0476). No statistically significant results were found for overall CM.

CONCLUSION

The results suggest that the implementation of the Code in both countries had a potentially beneficial effect on CM due to infectious diseases; however, further research is needed to corroborate these findings.

High Child Mortality and Interventions Coverage in the City of Dar es Salaam, Tanzania: Are the Poorest Paying an Urban Penalty?

The 'urban penalty' in health refers to the loss of a presumed survival advantage due to adverse consequences of urban life. This study investigated the levels and trends in neonatal, post-neonatal and under-5 mortality rate and key determinants of child survival using data from Tanzania Demographic and Health Surveys (TDHS) (2004/05, 2010 and 2015/16), AIDS Indicator Survey (AIS), Malaria Indicator survey (MIS) and health facility data in Tanzania mainland. We compared Dar es Salaam results with other urban and rural areas in Tanzania mainland, and between the poorest and richest wealth tertiles within Dar es Salaam. Under-5 mortality declined by 41% between TDHS 2004/05 and 2015/2016 from 132 to 78 deaths per 1000 live births, with a greater decline in rural areas compared to Dar es Salaam and other urban areas. Neonatal mortality rate was consistently higher in Dar es Salaam during the same period, with the widest gap (> 50%) between Dar es Salaam and rural areas in TDHS 2015/2016. Coverage of maternal, new-born and child health interventions as well as living conditions were generally better in Dar es Salaam than elsewhere. Within the city, neonatal mortality was 63 and 44 per 1000 live births in the poorest 33% and richest 33%, respectively. The poorest had higher rates of stunting, more overcrowding, inadequate sanitation and lower coverage of institutional deliveries and C-section rate, compared to richest tertile. Children in Dar es Salaam do not have improved survival chances compared to rural children, despite better living conditions and higher coverage of essential health interventions. This urban penalty is higher among children of the poorest households which could only partly be explained by the available indicators of coverage of services and living conditions. Further research is urgently needed to understand the reasons for the urban penalty, including quality of care, health behaviours and environmental conditions.

Effectiveness of an Early Skin-to-Skin Contact Program for Pregnant Women with Cesarean Section: A Quasi-Experimental Trial

OBJECTIVE

This study aimed to clarify the effectiveness of early skin-to-skin contact (SSC) after a cesarean section (CS) program.

METHODS

An "early SSC after CS" program was implemented at a tertiary care hospital in Tanzania. A non-equivalent group design was used. A questionnaire was used to collect data on exclusive breastfeeding, breastfeeding intention, Birth Satisfaction Scale-Revised Indicator (BSS-RI) score, perioperative pain with a visual analogue scale, and infant hospitalization for infectious diseases and diarrhea at 2-3 days postpartum. Follow-up surveys were conducted until 4 months postpartum regarding exclusive breastfeeding, breastfeeding intention, and hospitalization of the infants.

RESULTS

This study involved 172 parturient women who underwent CS, with 86 in the intervention group and 86 in the control group. The exclusive breastfeeding rates at 4 months postpartum were 57 (76.0%) in the intervention group and 58 (76.3%) in the control group, with no significant difference. The BSS-RI score was higher in the intervention group (7.91, range 4-12, SD 2.42) than in the control group (7.18, range 3-12, SD 2.02) (p = 0.007) for women who underwent emergency CS. The survival probability for infants hospitalized owing to infectious diseases, and diarrhea was significantly higher in the intervention group (98.5%) than in the control group (88.3%) (χ² = 5.231, p = 0.022) for multiparas.

CONCLUSION

The early SSC after CS program showed a positive effect on the birth satisfaction of women undergoing emergency CS. It also reduced the incidence of infants hospitalized owing to infectious diseases and diarrhea for multiparas.

Cash transfers and nutrition education to improve dietary diversity among children aged 6-23 months in Grand Gedeh County, Liberia: a cluster-randomized trial

OBJECTIVES

To evaluate the efficacy of a cash transfer and nutrition education program on dietary diversity among children in Liberia. We hypothesized that a multi-pronged intervention would result in improved dietary diversity among children.

METHODS

We conducted a three-armed, cluster-randomized study in 42 communities (12 children per community) in Grand Gedeh County, Liberia, over a 12-month period. We randomly assigned communities to control (n = 14 communities), those that received both bimonthly cash transfers and a structured nutrition education program (n = 14 communities) and those that received bimonthly cash transfers alone (n = 14 communities). Community health assistants conducted bimonthly assessments in participants' homes. The primary outcome was the proportion of children aged 6-23 months who met minimum dietary diversity score (i.e., ≥4 food groups consumed per day). Secondary outcomes included meal frequency and healthcare utilization for illnesses (NCT04101487).

RESULTS

There were 599 children enrolled; 533 (88.9%) were retained through the trial period. The proportion of children who consumed ≥4 food groups per day did not differ among the three arms. However, children randomized to receive cash transfers had higher dietary diversity scores than the control group. Children in communities that received cash transfers alone and with nutrition education consumed significantly more meals per day and were less likely to have visits to clinics or hospitals for illnesses than children in control communities.

CONCLUSION

Bimonthly, unconditional cash transfers and nutrition education were associated with higher dietary diversity scores, greater meal frequency, and fewer healthcare visits for illnesses among children aged 6-23 months.

Derivation and validation of a novel risk assessment tool to identify children aged 2–59 months at risk of hospitalised pneumonia-related mortality in 20 countries

Introduction

Existing risk assessment tools to identify children at risk of hospitalised pneumonia-related mortality have shown suboptimal discriminatory value during external validation. Our objective was to derive and validate a novel risk assessment tool to identify children aged 2–59 months at risk of hospitalised pneumonia-related mortality across various settings.

Methods

We used primary, baseline, patient-level data from 11 studies, including children evaluated for pneumonia in 20 low-income and middle-income countries. Patients with complete data were included in a logistic regression model to assess the association of candidate variables with the outcome hospitalised pneumonia-related mortality. Adjusted log coefficients were calculated for each candidate variable and assigned weighted points to derive the Pneumonia Research Partnership to Assess WHO Recommendations (PREPARE) risk assessment tool. We used bootstrapped selection with 200 repetitions to internally validate the PREPARE risk assessment tool.

Results

A total of 27 388 children were included in the analysis (mean age 14.0 months, pneumonia-related case fatality ratio 3.1%). The PREPARE risk assessment tool included patient age, sex, weight-for-age z-score, body temperature, respiratory rate, unconsciousness or decreased level of consciousness, convulsions, cyanosis and hypoxaemia at baseline. The PREPARE risk assessment tool had good discriminatory value when internally validated (area under the curve 0.83, 95% CI 0.81 to 0.84).

Conclusions

The PREPARE risk assessment tool had good discriminatory ability for identifying children at risk of hospitalised pneumonia-related mortality in a large, geographically diverse dataset. After external validation, this tool may be implemented in various settings to identify children at risk of hospitalised pneumonia-related mortality.

Residential inequality and spatial patterns of infant mortality in Ethiopia: evidence from Ethiopian Demographic and Health Surveys

Background

Despite the remarkable decrease in infant mortality rate in most countries, the rate of decline is slow and it remains unacceptably high in Sub-Saharan Africa. The progress in infant mortality in Ethiopia is far below the rate needed to achieve the Sustainable Development Goal. Understanding the residential inequality and spatiotemporal clusters of infant mortality is essential to prioritize areas and guide public health interventions. Therefore, this study aimed to investigate the residential inequality and spatial patterns of infant mortality in Ethiopia.

Methods

A secondary data analysis was done based on the Ethiopian demographic and health surveys conducted in 2000, 2005, 2011, and 2016. A total weighted sample of 46,317 live births was included for the final analysis. The residential inequality was assessed by calculating the risk difference in infant mortality rates between urban and rural live births and presented using a forest plot. For the spatial patterns of infant mortality, the SaTScan version 9.6 and ArcGIS version 10.6 statistical software were used to identify the spatial patterns of infant mortality.

Results

The study revealed that the infant mortality rate significantly declined from 96.9 per 1000 live births [95% CI 93.6, 104.2] in 2000 to 48.0 per 1000 live births [95% CI 44.2, 52.2] in 2016 with an annual rate of reduction of 3.2%. The infant mortality rate has substantial residential inequality over time, which is concentrated in the rural area. The spatial distribution of infant mortality was significantly clustered at the national level in survey periods (global Moran’s I, 0.04–0.081, p value < 0.05). In 2000, the most likely clusters were found in east Afar and at the border areas of south Amhara and north Oromia regions (LLR = 7.61, p value < 0.05); in 2005, at the border areas of Southern Nations Nationalities and People and in the entire Amhara region (LLR = 10.78, p value< 0.05); in 2011, at Southern Nations Nationalities and People and Gambella regions (LLR = 6.63, p value< 0.05); and in 2016, at east Oromia and northeast Somali regions (LLR = 8.38, p value < 0.05).

Conclusion

In this study, though infant mortality has shown remarkable reduction, infant mortality remains a major health care concern and had significant spatial variation across regions. Besides, the study found that infant mortality was highly concentrated in rural areas. Identifying the hotspot areas of infant mortality would help in designing effective interventions to reduce the incidence of infant mortality in these areas. Therefore, the findings highlighted that public health interventions should target rural areas and identified hotspot areas to reduce the incidence of infant mortality.