Maternal Sociodemographic Factors and Antenatal Stress

Antenatal stress has been associated with adverse birth outcomes such as fetal growth restriction, low birth weight, and preterm birth. Understanding key determinants of stress in a vulnerable pregnant population has the potential of informing development of targeted cost-effective interventions to mitigate against these adverse birth outcomes. We conducted a secondary analysis of data from 150 pregnant women attending antenatal care services at a rural referral hospital in Kenya. The participants completed a sociodemographic and clinical questionnaire, the Cohen’s Perceived Stress Scale (PSS) and gave a hair sample for cortisol and cortisone analysis. The association between selected sociodemographic predictors (age, parity, marital status, maternal education, household income, polygyny, and intimate partner violence) and outcomes (hair cortisol, hair cortisone, and PSS score) was examined using univariate, bivariate and multivariate models. We found a negative association between PSS scores and household income (β = −2.40, p = 0.016, 95% CI = −4.36, −0.45). There was a positive association of the ratio of hair cortisone to cortisol with Adolescent age group (β = 0.64, p = 0.031, 95% CI = 0.06, 1.22), and a negative association with Cohabitation (β = −1.21, p = 0.009, 95% CI = −2.11, −0.31). We conclude that household income influenced psychological stress in pregnancy. Adolescence and cohabitation may have an influence on biological stress, but the nature of this effect is unclear

Exploring the impact of health worker strikes on maternal and child health in a Kenyan county

Background: Studies of the impact of health care workers’ strikes tend to look at facility-level activity rather than populations, with evidence from low and middle-income countries relatively sparse. This study explored the effect of national strikes on maternal and child health. It looked at the impact on health system activity in both public and non-public sectors (e.g. private, faith-based), on health promotion investments like immunisation, and on disease detection like post-partum haemorrhage (PPH). A 100 day doctors’ strike started in December 2016, a 150 day nurses strike from June 2017 and then the clinical officers for 21 days that September. Methods: Time series descriptive analysis of attendance data from the Kenyan Health Management Information System (public, non-public sector facilities). The setting was Kilifi, a coastal county in Kenya with a population of about 1.5 million. Results: Along the care pathway from antenatal, postnatal and out-patient child health clinics, activity levels dropped markedly in the public sector with only partial compensatory increases in non-public sector activity. The number of fully immunised children fell during the nurses strike as did women seen with PPH during all strikes. These health care strikes caused signifcant adverse health impacts at the time and potentially inter-generationally as exemplifed by the fall in antenatal haematinics supplementation and syphilis testing. Some post-strike ‘’catch-up” activity occurred, however this may have been too late in some instances. Conclusions: Policy-makers at national and county level need to ensure population health is protected at times of strikes and ideally resolve disputes without such action. Not to do so risks major negative effects on maternal and child health. Increased use of the non-public health sector could be done by the authorities in mitigation should strikes occur again

The incidence and modifiable risk factors for necrotizing enterocolitis inpreterm infants a retrospective cohort study

Objectives: To evaluate the incidence and modifiable risk factors for Necrotizing enterocolitis (NEC) in preterm infants born at ≤32 weeks of gestation weighing \u3c1500 grams, at a private tertiary care hospital in Kenya. Materials and methods: This retrospective cohort study was conducted at the Aga Khan University Hospital Neonatal Intensive Care Unit (NICU). Preterm infants born at ≤ 32 weeks’ gestation and weighing \u3c1500 grams admitted to NICU between 2009 and 2019, were recruited into the study. The primary outcome was NEC Bell Stage IIa-IIIb based on Modified Bell’s criteria. Maternal and neonatal characteristics were evaluated. The association between variables of interest and NEC was determined using logistic regression analysis and the incidence of NEC for the study period was calculated. Results: A total of 261 charts of infants born at ≤ 32 weeks’ gestation, weighing \u3c1500 were reviewed, and 200 charts met the inclusion criteria. Fifteen preterm infants developed the primary outcome of interest: NEC Stage ≥2a within the first 30 days of admission. The overall incidence of NEC for the study period was 7.5%. Three risk factors were identified as significantly associated with NEC on multivariate logistic regression analysis: antenatal exposure to steroids (OR = 0.056 CI = 0.003-0.964 p = 0.047), cumulative duration of exposure to invasive mechanical ventilation (OR = 2.172 CI = 1.242-3.799 p = 0.007) and cumulative duration of exposure to umbilical vein catheter (OR = 1.344 CI = 1.08-1.672 p = 0.008). Conclusions: The overall incidence for the study period of NEC Stage ≥ II a was 7.5%. Exposure to antenatal steroids, duration of mechanical ventilation, and duration of umbilical vein catheterization were three independent modifiable risk factors for NEC Stage II a-Stage III b

Trends and factors associated with declining lifetime fertility among married women in Kenya between 2003 and 2014: an analysis of Kenya demographic health surveys

Background Globally, fertility has declined in the last three decades. In sub-Saharan Africa Including Kenya, this decline started more recent and at a slower pace compared to other regions. Despite a significant fertility decline in Kenya, there are disparities in intra- and interregional fertility. Reduction in lifetime fertility has health benefits for both the mother and child, thus it is important to improve women and children health outcomes associated with high fertility. The study, therefore evaluated the factors associate with change in lifetime fertility among married women of reproductive age in Kenya between 2003 and 2014. Methods The study used the Kenya Demographic and Health Survey (KDHS) datasets of 2003, 2008 and 2014. Analysis of variance (ANOVA) was used to calculate the mean number of children ever born and to assess the change in fertility across different factors. Poisson regression model with robust standard errors was used to study the relationship between number of children ever born (lifetime fertility) and independent variables. A Poisson-based multivariate decomposition for the nonlinear response model was performed to identify and quantify the contribution of demographic, socioeconomic and reproductive correlates, to the change in lifetime fertility between 2003 and 2014. Results The study included 3,917, 4,002, and 7,332 weighted samples of women of reproductive age in 2003, 2008, and 2014, respectively. The mean number of children born declined from 3.8 (95% CI: 3.6–3.9) in 2003 to 3.5 (95% CI: 3.4–-3.7) in 2008 and 3.4 (95% CI: 3.3–3.4) in 2014 (p = 0.001). The expected number of children reduced with the age at first sexual intercourse, the age at first marriage across the survey years, and household wealth index. Women who had lost one or more children in the past were likely to have increased number of children. The changes in the effects of women’s characteristics between the surveys explained 96.4% of the decline. The main contributors to the change in lifetime fertility was the different in women level of education. Conclusion The lifetime fertility declined by one-tenth between 2003 and 2014; majorly as a result of the effects of characteristics of women in terms of level of education. These highlights a need to implement education policies that promotes women education focuses on gender equality and women empowerment. Continuous strengthening of the healthcare systems (access to quality antenatal care, skilled delivery, and postpartum care) to reduce child mortality is essential

Community-driven data revolution is feasible in developing countries: experiences from an integrated health information and surveillance system in Kenya

Over the period of the Millennium Development Goals (2000-15), it became clear that there was a pressing need and an increasing capacity for a ‘data revolution’ to inform the global health development agenda. In most developing countries, data on key indicators were collected through laborious and retrospective surveys that were as much as five years out-of-date, or through passive reporting systems that relied on routinely generated health facility data. Gaps in the primary data were filled by modelled estimates, which often relied on inadequate assumptions

Factors influencing TB treatment interruption and treatment outcomes among patients in Kiambu County, 2016-2019

Tuberculosis (TB) is the leading cause of mortality as a single infectious agent globally with increasing numbers of case notification in developing countries. This study seeks to investigate the clinical and socio-demographic factors of time to TB treatment interruption among Tuberculosis patients in Kiambu County, 2016–2019. We retrospectively analyzed data for all treatment outcomes patients obtained from TB tracing form linked with the Tuberculosis Information Basic Unit (TIBU) of patients in Kiambu County health facilities using time to treatment interruption as the main outcome. Categorical variables were presented using frequency and percentages. Kaplan-Meir curve was used to analyze probabilities of time to treatment interruptions between intensive and continuation phases. Log-rank test statistics was used to compare the equality of the curves. Cox proportion model was used to determine determinants of treatment interruption. A total of 292 participants were included in this study. Males were 68%, with majority (35%) of the participants were aged 24–35 years; 5.8% were aged 0–14 years and 5.1% aged above 55 years. The overall treatment success rate was 66.8% (cured, 34.6%; completed 32.2%), 60.3% were on intensive phase of treatment. Lack of knowledge and relocation were the major reasons of treatment interruptions. Patients on intensive phase were 1.58 times likely to interrupt treatment compared to those on continuation phase (aHR: 1.581; 95%CI: 1.232–2.031). There is need to develop TB interventions that target men and middle aged population in order to reduce treatment interruption and increase the treatment success rates in the County and Country

Investigating SOFA, delta-SOFA and MPM-III for mortality prediction among critically ill patients at a private tertiary hospital ICU in Kenya: A retrospective cohort study

Background: Outcomes in well-resourced, intensive care units (ICUs) in Kenya are thought to be comparable to those in high-income countries (HICs) but risk-adjusted mortality data is unavailable. We undertook an evaluation of the Aga Khan University Hospital, Nairobi ICU to analyze patient clinical-demographic characteristics, compare the performance of Sequential Organ Failure Assessment (SOFA), delta-SOFA at 48 hours and Mortality Prediction Model-III (MPM-III) mortality prediction systems, and identify factors associated with increased risk of mortality. Methods: A retrospective cohort study was conducted of adult patients admitted to the ICU between January 2015 and September 2017. SOFA and MPM-III scores were determined at admission and SOFA repeated at 48 hours. Results: Approximately 33% of patients did not meet ICU admission criteria. Mortality among the population of critically ill patients in the ICU was 31.7%, most of whom were male (61.4%) with a median age of 53.4 years. High adjusted odds of mortality were found among critically ill patients with leukemia (aOR 6.32, p\u3c0.01), tuberculosis (aOR 3.96, p\u3c0.01), post-cardiac arrest (aOR 3.57, p\u3c0.01), admissions from the step-down unit (aOR 3.13, p\u3c0.001), acute kidney injury (aOR 2.97, p\u3c0.001) and metastatic cancer (aOR 2.45, p = 0.04). The area under the receiver-operating characteristic (ROC) curve of admission SOFA was 0.77 (95% CI, 0.73–0.81), MPM-III 0.74 (95% CI, 0.69–0.79), delta-SOFA 0.69 (95% CI, 0.63–0.75) and 48-hour SOFA 0.83 (95% CI, 0.79–0.87). The difference between SOFA at 48 hours and admission SOFA, MPM-III and delta-SOFA was statistically significant (chi2 = 17.1, 24.2 and 26.5 respectively; p\u3c0.001). Admission SOFA, MPM-III and 48-hour SOFA were well calibrated (p \u3e0.05) while delta-SOFA was borderline (p = 0.05). Conclusion: Mortality among the critically ill was higher than expected in this well-resourced ICU. 48-hour SOFA performed better than admission SOFA, MPM-III and delta-SOFA in our cohort. While a large proportion of patients did not meet admission criteria but were boarded in the ICU, critically ill patients stepped-up from the step-down unit were unlikely to survive. Patients admitted following a cardiac arrest, and those with advanced disease such as leukemia, stage-4 HIV and metastatic cancer, had particularly poor outcomes. Policies for fair allocation of beds, protocol-driven admission criteria and appropriate case selection could contribute to lowering the risk of mortality among the critically ill to a level on par with HICs

Knowledge, Attitudes, and Preparedness for Managing Pregnant and Postpartum Women with COVID-19 Among Nurse-Midwives in Kenya

Introduction: Globally, maternal morbidity and mortality have increased during the COVID-19 pandemic. Given the high burden of maternal and neonatal mortality in Kenya prior to COVID-19, front line health workers, including nurse-midwives, must be competent to ensure continued quality maternal services. Knowledge and awareness of COVID-19 transmission influence nurse-midwives risk perception and ability to implement prevention strategies. Objective: We examined nurse-midwives’ knowledge, attitudes, and preparedness in managing pregnant and postpartum women with COVID-19 in Kenya. Methods: A cross-sectional online survey was conducted among 118 nurse-midwives between July 2020 and November 2020. A 31-item survey comprising 15 knowledge, 11 attitude, and five preparedness questions was administered using SurveyMonkey. A link to the survey was distributed among nurse-midwives via email. Multiple logistic regression analysis was used to assess associations between the variables. A p-value \u3c.05 was considered statistically significant. Results: Eighty-five participants were included in the final analysis (response rate 72%). Most participants were female (n = 69, 81.2%), 52.9% (n = 45) worked in labor wards, and 57.6% (n = 49) worked in rural hospitals. Overall, 71% (n = 57) of par- ticipants had sufficient knowledge about managing COVID-19 in pregnant and postpartum women. However, only 63% were willing to receive COVID-19 vaccination. Nurse-midwives working in urban areas were 3.7 times more likely to have positive attitudes than those in rural areas (odds ratio 3.724, 95% confidence interval 1.042–13.31; p = .043). Conclusion: Nurse-midwives’ responses to the Kenyan government’s COVID-19 guidelines for managing and caring for pregnant women were inconsistent. Continued professional development for nurse-midwives is important to ensure they stay abreast of evolving COVID-19 guidelines for maternal health. Our findings also suggest vaccine hesitancy may be a hurdle for ongoing COVID-19 vaccination

Factors Associated with Mortality Among Hospitalized Adults with COVID-19 Pneumonia at a Private Tertiary Hospital in Tanzania: A Retrospective Cohort Study

Background: The emergence of the novel coronavirus disease 2019 (COVID-19) has caused millions of deaths worldwide. There has been paucity of data for hospitalized African patients suffering from COVID-19. This study aimed to identify factors associated with in-hospital mortality in patients suffering from COVID-19 in Tanzania. Methods: This was a single center, retrospective, observational cohort study in adult patients hospitalized with confirmed COVID-19 infection. Demographics, clinical pattern, laboratory and radiological investigations associated with increased odds of mortality were analyzed. Results: Of the 157 patients, 107 (68.1%) patients survived and 50 (31.8%) died. Mortality was highest in patients suffering with severe (26%) and critical (68%) forms of the disease. The median age of the cohort was 52 years (IQR 42– 61), majority of patients were male (86%) and of African origin (46%), who presented with fever (69%), cough (62%) and difficulty in breathing (43%). Factors that were associated with mortality among our cohort were advanced age (OR 1.07, 95% CI 1.03– 1.11), being overweight and obese (OR 9.44, 95% CI 2.71– 41.0), suffering with severe form of the disease (OR 4.77, 95% CI 1.18– 25.0) and being admitted to the HDU and ICU (OR 6.68, 95% CI 2.06– 24.6). Conclusion: The overall in-hospital mortality was 31.8%. Older age, obesity, the severe form of the disease and admission to the ICU and HDU were major risk factors associated with in-hospital mortality

Health facilities preparedness to deliver maternal and newborn health care in Kilifi and Kisii Counties, Kenya

Introduction: Health facility preparedness is essential for delivering quality maternal and newborn care, minimizing morbidity and mortality by addressing delays in seeking skilled care, reaching appropriate facilities, and receiving emergency care. A rapid assessment of 23 government health facilities in Kilifi and Kisii counties identified poor maternal and newborn indicators in 16 facilities. The Access to Quality Care through Extending and Strengthening Health Systems (AQCESS) project supported these facilities with training, equipment, and referral linkages. This study focuses on facility preparedness of the 16 facilities to deliver maternal and newborn health services, specifically delays two and three at the end of the project implementation. Methods: A descriptive cross-sectional study was carried-out on behalf of AQCESS project team by respective county ministry of health in-charge of reproductive maternal newborn and child health programs and trained nurses and medical doctors from Aga Khan health services in December 2019. The study evaluated the accessibility and reliability of drugs, commodities, equipment, personnel, basic necessities (such as water and electricity), and guidelines using validated World Health Organization service availability and readiness assessment tool. The findings of the assessment are presented through frequency and percentage analysis, along with a comparative analysis between the two counties. Results: All the 16 facilities assessed offered routine antenatal care (ANC) and normal delivery, but only two provided comprehensive emergency obstetric and newborn care (CEmONC). Most essential medicines, commodities, and required equipment were available. BEmONC and CEmONC guidelines were present in Kilifi, not in Kisii. One staff member was available 24/7 for cesarean section (CS) in each county, with one anesthetist in Kilifi. Electricity was accessible in all facilities, but only half had secondary power supply. Facilities offering CS had backup generators. Conclusion: The Facilities assessed had necessary drugs, commodities, equipment, and requirements, but staffing and guidelines were limited. Kilifi outperformed Kisii in most indicators. Additional support is needed for infrastructure and human resources to deliver quality maternal and newborn health services. Continuous monitoring will facilitate resource allocation based on facility needs