International Journal of MCH and AIDS最新文献

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causative agent for the coronavirus disease 2019 (COVID-19) pandemic, highlighted and compounded problems while posing new challenges for the pregnant population. Although individual organizations have provided disparate information, guidance, and updates on managing the pregnant population during the current COVID-19 pandemic, it is important to develop a collective model that highlights all the best practices needed to protect the pregnant population during the pandemic. To establish a standard for ensuring safety during the pandemic, we present a framework that describes best practices for the management of the pregnant population during the ongoing COVID-19 pandemic.

The human immunodeficiency virus (HIV) remains a global threat to health. To prevent and control the disease caused by the virus, developed and developing countries continue to invest heavily in research and equipment so as to accurately detect the virus. The utilization of highly sensitive and effective rapid diagnostic tests (RDTs) have the potential to detect HIV in high-burden countries, especially those in sub-Saharan Africa (SSA). Yet, in SSA, challenges associated with HIV-RDT result inaccuracy, HIV misdiagnosis, poor tester capacity, and the improper storage of HIV-RDT kits have negatively impacted the benefits, and threaten to undermine HIV prevention. This paper focuses on the utilization of RDTs in HIV diagnosis in SSA, HIV-RDT challenges, and the effects of HIV-RDT challenges on HIV prevention. Subsequent to reviewing available literature, the authors found that although HIV-RDTs can negatively impact HIV-prevention efforts in SSA due to the likelihood of false positive HIV diagnoses, they generally provide quick results for people in resource poor settings, and do not require them to return to the testing sites to obtain their results. Obtaining accurate rapid HIV results means people who test positive can immediately seek care and take steps to prevent future transmission of the virus.

Background: The Joint United Nations Programme on HIV/AIDS (UNAIDS) in 2019 estimated that 450,000 to 50,000 people in Cameroon were living with HIV, yet only 79% knew their HIV status which is far from the 90% target for 2020. To address this situation, Cameroon adopted the "Opt-out" strategy of the World Health Organization (WHO) and use of trained non-medical cadre (psychosocial agents) to reach out to more people with HIV testing services (HTS). This describes the implementation and outcomes of this strategy by reviewing the activity of a typical day in the Yaoundé Central Hospital (YCH) in Cameroon.

Methods: HTS were offered to hospitalized and ambulatory patients (including their companions) in different departments of the YCH. Following screening for recent HIV testing, those with unknown HIV status that gave consent or did not explicitly refuse testing (as per the "Opt-out Strategy"), were counseled and tested for HIV. Testing followed the "National HIV Rapid Testing Algorithm" using rapid diagnostic test kits. Results were either positive, negative or indeterminate. Patients with positive HIV results were linked to the Care and Treatment Center for treatment initiation.

Results: Of the 350 patients screened and offered HTS using non-medical cadre (psychosocial agents), 193 (55.1%) were hospitalized and 157 (44.9%) came for outpatient visits. The age of participants ranged from 14 to 92 years and the yield of HIV testing in the sample population was 5.1% (6.2% for hospitalized patients and 3.8% for outpatient clinics). Statistics revealed that five HIV-positive patients had never been offered HTS before the study. The study revealed that HTS acceptance rate among hospitalized patients was 69.6% and that all new positive patients started antiretroviral treatment on the same day.

Conclusion and global health implications: It is feasible to use trained non-medical staff for HIV testing services (HTS). Task-shifting by using trained psychosocial agents can help in case identification and linkage to HIV treatment services.

Background: Globally, there has been a marked decline in neonatal mortality and overall child mortality indicators from 1990 to date. In Kenya, neonatal deaths remain unacceptably high, contributing to 40% of under-five mortality rates (U5MR) making it an important health priority. The objective of this study was to identify the determinants of neonatal mortality in Kenya. An understanding of the determinants of neonatal mortality will provide evidence for better interventions to reduce these deaths.

Methods: Neonatal deaths from singleton live-born infants were extracted from women's dataset collected for the 5-year period preceding the study published in the Kenya Demographic and Health Survey (KDHS), 2014. Data were obtained from 18,951 births. There were 356 neonatal deaths recorded. Data were weighted using an individual weighting factor to adjust for the study design and reduce sample variability. Data were analyzed using SPSS version 20.0. Logistic regression was conducted to adjust for confounding factors.

Results: Neonatal mortality rate was established at 19/1000 (95% CI: 16.8-20.7). Mothers with no education had higher odds of experiencing deaths of neonates with adjusted Odds Ratio (aOR)=2.201, 95% CI: 1.43-4.15,p=0.049) compared to mothers with higher education. Low Birth Weight (LBW) neonates were 3.2 times likely to die in the first 28 days (aOR=3.206, 95% CI: 1.85-12.08, p=0.006) compared to neonates with >3.5 kilograms at birth. Mothers who did not attend ANC during pregnancy and those who attended between 1-3 ANC visits had higher odds of losing their infants (aOR=3.348, 95% CI: 1.616-8.53, p=0.041, and aOR=2.316, 95% CI: 1.10-4.88, p=0.027) respectively, compared to mothers who attended >4 ANC visits.

Conclusion and global health implications: Improving maternal health and nutrition during pregnancy should be enhanced to ensure adequate weight gain and reduce instances of low birth weight. Community referrals and follow-up for expectant women to take up the requisite 4 ANC visits should be encouraged. Girls' education should be emphasized to reduce the proportion of illiterate mothers.

Background and objectives: The purpose of this study was to evaluate the feasibility of a customized, culturally sensitive pregnancy wheel given to pregnant women to improve gestational age dating accuracy at the time of delivery and to improve antenatal care attendance.

Methods: This was a pilot randomized trial involving pregnant women presenting to a regional hospital in Lilongwe, Malawi. The primary outcome was accuracy of gestational age at the time of presentation to the hospital in labor. The secondary outcome was the number of antenatal visits.

Results: At final analysis, 14 subjects were included in the pregnancy wheel (intervention) arm and 11 in the standard care arm. Fifty percent (n=7) of women in the intervention arm were accurately dated at the time of presentation for delivery, compared to only 9% (n=1) in the standard antenatal care arm (p=0.04). There was not a significant difference in the number of antenatal visits between the two study arms. No patients met the World Health Organization's recommended eight antenatal care visits for prenatal care.

Conclusion and global health implications: The customized pregnancy wheel given to patients could improve gestational age dating accuracy, and as a result, clinical decision making. However, the barriers to greater antenatal care access are more complex and likely require a more complex solution. Significant attrition in this pilot trial limited statistical power, suggesting the need for future larger interventions. Accurate gestational dating requires access to ultrasonography and early antenatal care initiation, both of which are inadequate in Malawi. Although the customized pregnancy wheel did not improve antenatal care attendance, it improved gestational age dating accuracy in a pilot study at a central hospital in Lilongwe, Malawi.

Currently, there is an insufficient representation of racial/ethnic minority groups in the maternal and child health (MCH) workforce. A student-run outreach organization, the Global Alliance for Maternal and Child Health (GLAM), seeks to address this disparity by increasing the representation of racial/ethnic minority groups in MCH workforce. Founded by students at Texas Southern University in Houston, Texas, United States, GLAM, seeks to establish productive alliances and create programs that would help improve the well-being of mothers, infants, and children locally, nationally, and internationally by engaging an active cadre of students passionate about MCH. Through community outreach and global engagement using evidence-based strategies, GLAM is committed to the elimination of health disparities plaguing the MCH population.

As Africa prepares to overcome the difficult challenges of COVID-19 vaccination roll-outs, a number of factors, including equitable access, effective and efficient sufficient supply chains, a scope of established determinants will need to be considered in order to enhance vaccine acceptability and uptake. In this commentary, we present six major determinants of vaccine acceptability and uptake in Africa. We summarize these determinants with the acronym VAMRIS: V= Vaccine hesitancy; A= Attitude and uptake by health care workers; M= Misinformation; R= Religion; I= Immunization roll out plans; S= Social influences and enabling environment. Understanding determinants of COVID-19 vaccine acceptability will guide public health officials make informed decisions. As the Vaccine becomes progressively available, strategies for efficient roll-out to achieve massive uptake by the targeted population will depend on a number of factors. These include: community engagement efforts; types of health promotion activities and/or messages; community sensitization to dispel myths and misconceptions; endorsements and buy-ins from local champions, celebrities, authorities; logistic considerations; and incentives to health counsellors/workers to create demand.

Background: Despite the previous long-term decline and a recent increase in maternal mortality, detailed social inequalities in maternal mortality in the United States (US) have not been analyzed. This study examines trends and inequalities in US maternal mortality by maternal race/ethnicity, socioeconomic status, nativity/immigrant status, marital status, area deprivation, urbanization level, and cause of death.

Methods: National vital statistics data from 1969 to 2018 were used to compute maternal mortality rates by sociodemographic factors. Mortality trends by deprivation level were analyzed by using census-based deprivation indices. Rate ratios and log-linear regression were used to model mortality trends and differentials.

Results: Maternal mortality declined by 68% between 1969 and 1998. However, there was a recent upturn in maternal mortality, with the rate increasing from 9.9 deaths/100,000 live births in 1999 to 17.4 in 2018. The large racial disparity persisted over time; Black women in 2018 had a 2.4 times higher risk of maternal mortality than White women. During 2013-2017, the rate varied from 7.0 for Chinese women to 42.0 for non-Hispanic Black women. Unmarried status, US-born status, lower education, and rural residence were associated with 50-114% higher maternal mortality risks. Mothers in the most-deprived areas had a 120% higher risk of mortality than those in the most-affluent areas; both absolute and relative disparities in mortality by deprivation level widened between 2002 and 2018. Hemorrhage, pregnancy-related hypertension, embolism, infection, and chronic conditions were the leading causes of maternal death, with 31% of the deaths attributable to indirect obstetric causes.

Conclusions and global health implications: Despite the steep long-term decline in US maternal mortality, substantial racial/ethnic, socioeconomic, and rural-urban disparities remain. Monitoring disparities according to underlying social determinants is key to reducing maternal mortality as they give rise to inequalities in social conditions and health-risk factors that lead to maternal morbidity and mortality.

Background: Over the last decade, Uganda has registered a significant improvement in the utilization of maternity care services. Unfortunately, this has not resulted in a significant and commensurate improvement in the maternal and child health (MCH) indicators. More than half of all the stillbirths (54 per 1,000 deliveries) occur in the peripartum period. Understanding the predictors of preventable stillbirths (SB) will inform the formulation of strategies to reduce this preventable loss of newborns in the intrapartum period. The objective of this study was to determine the predictors of intrapartum stillbirth among women delivering at Mulago National Referral and Teaching Hospital in Central Uganda.

Methods: This was an unmatched case-control study conducted at Mulago Hospital from October 29, 2018 to October 30, 2019. A total of 474 women were included in the analysis: 158 as cases with an intrapartum stillbirth and 316 as controls without an intrapartum stillbirth. Bivariable and multivariable logistic regression was done to determine the predictors of intrapartum stillbirth.

Results: The predictors of intrapartum stillbirth were history of being referred from lower health units to Mulago hospital (aOR 2.5, 95% CI: 1.5-4.5); maternal age 35 years or more (aOR 2.9, 95% CI: 1.01- 8.4); antepartum hemorrhage (aOR 8.5, 95% CI: 2.4-30.7); malpresentation (aOR 6.29; 95% CI: 2.39-16.1); prolonged/obstructed labor (aOR 6.2; 95% CI: 2.39-16.1); and cesarean delivery (aOR 7.6; 95% CI: 3.2-13.7).

Conclusion and global health implications: Referral to hospital, maternal age 35 years and above, obstetric complication during labor, and cesarean delivery were predictors of intrapartum stillbirth in women delivering at Mulago hospital. Timely referral and improving access to quality intrapartum obstetric care have the potential to reduce the incidence of intrapartum SB in our community.

Background: Continuum-of-care (CoC) throughout pregnancy, childbirth and the postnatal period is essential for the health and survival of mothers and their babies. This study assesses the utilization, predictors, and gaps in the continuum of maternal and newborn health (MNH) services in Eastern Ghana.

Methods: A retrospective cross-sectional survey was conducted to assess utilization of MNH services and their determinants in the East Akim Municipality of Ghana. Three hundred and ten (310) mothers aged 15-49 years were sampled from 4 communities (3 rural; 1 urban) in the municipality using stratified sampling methodology. Logistic regression models were fitted to determine the likelihood of utilizing skilled birth attendance (SBA) and postnatal care (PNC) after antenatal care (ANC).

Results: Sixty-six percent (66%) of mothers surveyed received the full complement of MNH services (ANC, SBA, PNC) for their most-recent birth. While 98% of mothers made at least one ANC visit with 83.5% receiving the World Health Organization-recommended 4+ visits, only 74% accessed SBA indicating a 24% attrition in the CoC from ANC to SBA, and an 8% attrition from SBA to PNC. About 86% of mothers accessed PNC within 42 days postpartum. Distance to health facility, urban residence, and exposure to media information were strong predictors of the full complement of MNH continuum-of-care utilization.

Conclusion and global health implications: The study found a remarkable utilization of MNH services in East Akim with significant attrition along the continuum-of-care. Efforts to enhance utilization of the MNH continuum-of-care should focus on increasing access to SBA in particular, through equitable distribution of MNH services in hard-to-reach areas and innovative communication approaches for reducing attrition at each level of the continuum-of-care. Evidence from this study can inform strategies for achieving universal access and utilization of the MNH continuum-of-care towards global goals and improved health outcomes in Ghana and other countries.