The impact of maternal factors on mortality rates among children under the age of five years in a rural Ugandan population between 2002 and 2012

Negative effects of short birth interval on child mortality in low- and middle-income countries: A systematic review and meta-analysis

Methods

Eight databases, PubMed, CINAHL, Web of Science, Embase, PsycINFO, Cochrane Library, Popline, and Maternity and Infant Care, were searched, covering the period of January 2000 to January 2022. Studies that had examined the association between SBI and any form of child mortality were included. The findings of the included studies were summarized through fixed-effects or random-effects meta-analysis and the model was selected based on the heterogeneity index.

Results

A total of 51 studies were included. Of them, 19 were conducted in Ethiopia, 10 in Nigeria and 7 in Bangladesh. Significant higher likelihoods of stillbirth (odds ratio (OR) = 2.11; 95% confidence interval (CI) = 1.32-3.38), early neonatal mortality (OR = 1.58; 95% CI = 1.04-2.41), perinatal mortality (OR = 1.71; 95% CI = 1.32-2.21), neonatal mortality (OR = 1.85; 95% CI = 1.68-2.04), post-neonatal mortality (OR = 3.01; 95% CI = 1.43-6.33), infant mortality (OR = 1.92; 95% CI = 1.77-2.07), child mortality (OR = 1.67; 95% CI = 1.27-2.19) and under-five mortality (OR = 1.95; 95% CI = 1.56-2.44) were found among babies born in short birth intervals than those who born in normal intervals.

Conclusions

SBI significantly increases the risk of child mortality in LMICs. Programmes to reduce pregnancies in short intervals need to be expanded and strengthened. Reproductive health interventions aimed at reducing child mortality should include proper counselling on family planning, distribution of appropriate contraceptives and increased awareness of the adverse effects of SBI on maternal and child health.

Integrative oncology: Addressing the global challenges of cancer prevention and treatment

The increase in cancer incidence and mortality is challenging current cancer care delivery globally, disproportionally affecting low- and middle-income countries (LMICs) when it comes to receiving evidence-based cancer prevention, treatment, and palliative and survivorship care. Patients in LMICs often rely on traditional, complementary, and integrative medicine (TCIM) that is more familiar, less costly, and widely available. However, spheres of influence and tensions between conventional medicine and TCIM can further disrupt efforts in evidence-based cancer care. Integrative oncology provides a framework to research and integrate safe, effective TCIM alongside conventional cancer treatment and can help bridge health care gaps in delivering evidence-informed, patient-centered care. This growing field uses lifestyle modifications, mind and body therapies (eg, acupuncture, massage, meditation, and yoga), and natural products to improve symptom management and quality of life among patients with cancer. On the basis of this review of the global challenges of cancer control and the current status of integrative oncology, the authors recommend: 1) educating and integrating TCIM providers into the cancer control workforce to promote risk reduction and culturally salient healthy life styles; 2) developing and testing TCIM interventions to address cancer symptoms or treatment-related adverse effects (eg, pain, insomnia, fatigue); and 3) disseminating and implementing evidence-based TCIM interventions as part of comprehensive palliative and survivorship care so patients from all cultures can live with or beyond cancer with respect, dignity, and vitality. With conventional medicine and TCIM united under a cohesive framework, integrative oncology may provide citizens of the world with access to safe, effective, evidence-informed, and culturally sensitive cancer care.

Trends and Associated Factors of Under-five Mortality Based on 2008–2016 Data in Kersa Health and Demographic Surveillance Site, Eastern Ethiopia

Background: Of the 6.2 million estimated deaths of children under 15 years of age globally, the death toll of children under 5 years of age accounted for 5.3 million. In Ethiopia, even though significant progress has been made, facility-based research shows that the mortality rate of children under 5 is still high. In the country, particularly in the eastern part, evidence on trends in under-five mortality and associated factors from population-based longitudinal data is limited. Objective: The objective of the study was to assess under-five mortality focusing on the trends and associated factors based on 2008–2016 data in Kersa Health and Demographic Surveillance Site, Eastern Ethiopia. The method: The study was based on 9 years of surveillance data. The surveillance site was founded in 2007 with the aim of producing community-based health and demographic data in the eastern Ethiopia. Data were collected from the surveillance site and analyzed with STATA version 15 (for factor analysis) and/or Statistical Package for Social Sciences (SPSS) version 26 (for trend analysis) and Microsoft (MS) Excel software. The autoregressive integrated moving average (ARIMA) model and Mann–Kendall were used to analyze mortality trends. Multi-level logistic regression was used to assess the associated factors. Result: There were a total of 18 759 newborns in the surveillance sites, of which 1602 died of children under 5 years of age, and the total mortality rate for children under 5 years of age was 85 per 1000 live births. Trend analysis shows that the mortality rate of children under 5 has been steadily declining during the study period. Multi-level logistic regression shows that the variance of the random component model related to the intercept term is statistically significant, which means that there is a change in the mortality rate of children under 5 between the survey years, which is explained by the random intercept term. Antenatal care visits by mothers (AOR = .61, 95% CI = .49, .74), primary education (AOR = .58, 95% CI = .49, .68), normal birth weight (AOR = .78, 95% CI = .64, .95), and having 2 or fewer total births (AOR = .37, 95% CI = .22, .37) were all associated with child death. Conclusion: Despite the downward trend, the mortality rate of children under 5 years old at the surveillance sites is high. Effective intervention measures should be implemented.

Feasibility of using smartphones by village health workers for pregnancy registration and effectiveness of mobile phone text messages on reduction of homebirths in rural Uganda

Introduction

Homebirths are common in low and middle income countries and are associated with poor child survival. We assessed the feasibility of using smartphones by village health workers for pregnancy registration and the effectiveness of health text messages (SMS) sent to pregnant women through village health workers in reducing homebirths in rural Uganda.

Methods

A non-randomised intervention study was undertaken in 26 villages. In the intervention arm, village health workers registered pregnant women (n = 262) in 13 villages using a smartphone app (doForm) and paper forms and gestation age-timed SMS were sent through village health workers to the pregnant women. In 13 control villages, (n = 263) pregnant women were registered on paper forms only and no SMS was sent. The main outcome was place of birth measured through a self-report. Logistic regression with generalised estimating equations was used to explore the effect of the intervention.

Results

Comparing 795 corresponding data fields on phone and paper revealed that numeric variable fields were 86%-95% similar while text fields were 38%-48% similar. Of the 525 pregnant women followed, 83 (15.8%) delivered at home. In the adjusted analysis, the intervention was associated with lower odds of homebirths [AOR = 0.38, 95%CI (0.15–0.97)]. Muslim religion [AOR = 4.0, 95%CI (1.72–9.34)], primary or no maternal education [AOR = 2.51, 95%CI (1.00–6.35)] and health facility distance ≥ 2 km [AOR = 2.26, 95%CI (0.95–5.40)] were independently associated with homebirths.

Conclusion

Village health workers can register pregnant women at home using phones and relay gestation age specific SMS to them to effectively reduce homebirths.