Clinical Course and Factors Associated With Hospital Admission and Mortality among Sars-Cov 2 Patients within Nairobi Metropolitan Area.

This study aims to investigate the clinical course and factors associated with hospital admission and mortality among SARS-CoV-2 patients within the Nairobi Metropolitan Area. The study utilizes a multicenter retrospective cohort design, collecting clinical characteristics and laboratory parameters of hospitalized patients from March 2020 to May 2022. Data analysis includes percentages, frequencies, chi-square tests, Kaplan-Meier analysis, pairwise comparisons, and multivariate regression models. Ethical considerations are observed throughout the research process. The study findings highlight significant associations between comorbidities, such as hypertension, and increased mortality risk due to COVID-19. Symptoms including fever, cough, dyspnea, chest pain, sore throat, and loss of smell/taste are also identified as predictors of mortality. Abnormal laboratory parameters, such as oxygen saturation, procalcitonin, glucose levels, serum creatinine, and gamma-glutamyl transpeptidase, are associated with mortality. However, demographic factors and certain vital signs do not exhibit significant associations. Recommendations based on this study suggest increased monitoring and management of comorbidities, early identification and management of symptoms, regular monitoring of laboratory parameters, continued research and collaboration, and implementation of preventive measures. Overall, a multidisciplinary approach involving healthcare professionals, researchers, policymakers, and the public is crucial to improve COVID-19 outcomes and reduce mortality rates. Adaptation of strategies based on emerging evidence and resource allocation is essential for effective management of the pandemic.

Comparing labour induction outcomes using misoprostol and dinoprostone in term pregnancies: A retrospective study at Kiambu Level 5 Hospital between 2018 and 2020.

BACKGROUND: The Maternal and Perinatal Death Surveillance and Response (MPDSR) was introduced in Kenya in 2016 and implemented at Kiambu Level 5 Hospital (KL5H) three years later in 2019. During a routine MPDSR meeting at KL5H, committee members identified a possible link between the off-label use of 200mcg misoprostol tablets divided eight times to achieve the necessary dose for labour induction (25mcg) and maternal deaths. Following this, an administrative decision was made to switch from misoprostol to dinoprostone for the induction of labour in June of 2019. This study aimed to assess the overall impact of MPDSR as well as the effect of replacing misoprostol with dinoprostone on uterine rupture, maternal and neonatal deaths at KL5H. METHODS: We conducted a retrospective cohort study of women who gave birth at KL5H between January 2018 and December 2020. We defined the pre-intervention period as January 2018-June 2019, and the intervention period as July 2019-December 2020. We randomly selected the records of 411 mothers, 167 from the pre-intervention period and 208 from the intervention period, all of whom were induced. We used Bayes-Poisson Generalised Linear Models to fit the risk of uterine rupture, maternal and perinatal death. 12 semi-structured key person questionnaires was used to describe staff perspectives regarding the switch from misoprostol to dinoprostone. Inductive and deductive data analysis was done to capture the salient emerging themes. RESULTS: We reviewed 411 patient records and carried out 12 key informant interviews. Mothers induced with misoprostol (IRR = 3.89; CI = 0.21-71.6) had an increased risk of death while mothers were less likely to die if they were induced with dinoprostone (IRR = 0.23; CI = 0.01-7.12) or had uterine rupture (IRR = 0.56; CI = 0.02-18.2). The risk of dying during childbearing increased during Jul 2019-Dec 2020 (IRR = 5.43, CI = 0.68-43.2) when the MPDSR activities were strengthened. Induction of labour (IRR = 1.01; CI = 0.06-17.1) had no effect on the risk of dying from childbirth in our setting. The qualitative results exposed that maternity unit staff preferred dinoprostone to misoprostol as it was thought to be more effective (fewer failed inductions) and safer, regardless of being more expensive compared to misoprostol. CONCLUSION: While the period immediately following the implementation of MPDSR at KL5H was associated with an increased risk of death, the switch to dinoprostone for labour induction was associated with a lower risk of maternal and perinatal death. The use of dinoprostone, however, was linked to an increased risk of uterine rupture, possibly attributed to reduced labour monitoring given that staff held the belief that it is inherently safer than misoprostol. Consequently, even though the changeover was warranted, further investigation is needed to determine the reasons behind the rise in maternal mortalities, even though the MPDSR framework appeared to have been put in place to quell such an increase.

The impact of the COVID-19 pandemic on reproductive, maternal, neonatal, and child health care services in Kiambu County, Kenya.

The global response to COVID-19 undermined established public health goals. This study investigated the impact of COVID-19 on reproductive, maternal, neonatal, and child health (RMNCH) services in Kiambu County, Kenya. It was a retrospective cross-sectional study, where data on antenatal care (ANC), delivery, postnatal care (PNC), and family planning (FP) before and after COVID-19 was retrieved and compared. New ANC clients and 4th ANC visits decreased by 2.9% and 17% respectively. New clients attending PNC increased by 13.3% (p = 0.007). Skilled deliveries reduced by 0.3%, maternal, neonatal deaths, and fresh stillbirths reduced by 0.7%, 23.9%, and 15.8% respectively. Caesarean sections rose by 12.7% (p=0.001). New clients and revisits for family planning reduced by 15.4% and 6.6% respectively. The pandemic adversely affected most of the RMNCH services. There is a need for health departments to institute robust strategies to recover the gains lost during COVID-19.

La réponse mondiale à la COVID-19 a sapé les objectifs de santé publique établis. Cette étude a examiné l'impact du COVID-19 sur les services de santé reproductive, maternelle, néonatale et infantile (SRMNI) dans le comté de Kiambu, au Kenya. Il s'agissait d'une étude transversale rétrospective, dans laquelle les données sur les soins prénatals (ANC), l'accouchement, les soins postnatals (PNC) et la planification familiale (PF) avant et après la COVID-19 ont été récupérées et comparées. Les nouvelles clientes de CPN et les 4èmes visites de CPN ont diminué respectivement de 2,9 % et 17 %. Les nouveaux clients fréquentant la PNC ont augmenté de 13,3 % (p = 0,007). Les accouchements qualifiés ont diminué de 0,3 %, les décès maternels et néonatals et les nouvelles mortinaissances ont diminué respectivement de 0,7 %, 23,9 % et 15,8 %. Les césariennes ont augmenté de 12,7 % (p=0,001). Les nouveaux clients et les nouvelles visites pour la planification familiale ont diminué respectivement de 15,4% et 6,6%. La pandémie a eu des conséquences néfastes sur la plupart des services de RMNCH. Il est nécessaire que les services de santé mettent en place des stratégies solides pour récupérer les gains perdus pendant la COVID-19.

Multiple Logistic Regression Model for Determinants of Injectable Contraceptive Uptake Among Women of Reproductive Age in Kenya.

Objective: The recent increase in the uptake of injectable contraceptives has occurred at the expense of the other modern contraceptive methods but the knowledge gap still exists on modeling dynamics and determinants associated with the use of the injectable. This study sought to model for injectable contraceptive usage to bridge the knowledge gap on the use of injectable contraceptives among women of childbearing age in Kenya. Materials and methods: Analytical cross-sectional study design was adopted. Secondary data for women collected during the (Performance Monitoring for Action) PMA2020 survey was used. PMA2020 survey used multistage stratified sampling with urban-rural representation. To establish the factors associated with the uptake of injectable contraceptives, a multiple logistic regression model was fitted using Stata version 13 and R version 3.5.3 statistical software. Hosmer-Lemeshow Test statistic was used to evaluate the goodness of model fit in predicting injectable contraceptive usage. Results: Multivariable analysis showed that women with post-primary/vocational levels of education were 54% less likely to use an injectable contraceptive compared to those who had no education at all. Hosmer-Lemeshow (HL) goodness of fit test statistic indicated that the model was a good fit for prediction. Education, marital status, wealth quintile, place of residence and number of births were significant predictors of the injectable contraceptive uptake among women of reproductive age in Kenya. Conclusion: The findings of this study will inform the design of targeted interventions aimed at addressing the increasing demand for injectable devices among women of reproductive age in Kenya.