The National Hospital Insurance Fund (NHIF) of Kenya was upgraded to improve access to healthcare for impoverished households, expand universal health coverage (UHC), and boost the uptake of essential reproductive, maternal, newborn and child health (RMNCH) services. However, premiums may be unaffordable for the poorest households. The Innovative Partnership for Universal Sustainable Healthcare (i-PUSH) program targets low-income women and their households to improve their access to and utilization of quality healthcare, including RMNCH services, by providing subsidized, mobile phone-based NHIF coverage in combination with enhanced, digital training of community health volunteers (CHVs) and upgrading of health facilities. This study evaluated whether expanded NHIF coverage increased the accessibility and utilization of quality basic RMNCH services in areas where i-PUSH was implemented using a longitudinal cluster randomized controlled trial in Kakamega, Kenya. A total of 24 pair-matched villages were randomly assigned either to the treatment or the control group. Within each village, 10 eligible households (i.e., with a woman aged 15-49 years who was either pregnant or with a child below 4 years) were randomly selected. The study applied a Difference-in-Difference methodology based on a pooled cross-sectional analysis of baseline, midline and endline data, with robustness checks based on balanced panels and ANCOVA methods. The analysis sample included 346 women, of whom 248 had had a live birth in the 3 years prior to any of the surveys, and 424 children aged 0-59 months. Improved NHIF coverage did not have a statistically significant impact on any of the RMNCH outcome indicators at midline nor endline. Uptake of RMNCH services, however, improved substantially in both control and treatment areas at endline compared to baseline. For instance, significant increases were observed in the number of antenatal care visits from baseline to midline (mean = 2.62 to 2.92) p < 0.01) and delivery with a skilled birth attendant from baseline to midline (mean = 0.91 to 0.97 (p < 0.01). Expanded NHIF coverage, providing enhanced access to RMNCH services of unlimited duration at both public and private facilities, did not result in an increased uptake of care, in a context where access to basic public RMNCH services was already widespread. However, the positive overall trend in RMNCH utilization indicators, in a period of constrained access due to the COVID-19 pandemic, suggests that the other components of the i-PUSH program may have been beneficial. Further research is needed to better understand how the provision of insurance, enhanced CHV training and improved healthcare quality interact to ensure pregnant women and young children can make full use of the continuum of care.

BACKGROUND:  Preeclampsia is a potentially fatal complication during pregnancy, characterized by high blood pressure and the presence of excessive proteins in the urine. Due to its complexity, the prediction of preeclampsia onset is often difficult and inaccurate.
OBJECTIVE:  This study aimed to create quantitative models to predict the onset gestational age of preeclampsia using electronic health records.
METHODS:  We retrospectively collected 1178 preeclamptic pregnancy records from the University of Michigan Health System as the discovery cohort, and 881 records from the University of Florida Health System as the validation cohort. We constructed 2 Cox-proportional hazards models: 1 baseline model using maternal and pregnancy characteristics, and the other full model with additional laboratory findings, vitals, and medications. We built the models using 80% of the discovery data, tested the remaining 20% of the discovery data, and validated with the University of Florida data. We further stratified the patients into high- and low-risk groups for preeclampsia onset risk assessment.
RESULTS:  The baseline model reached Concordance indices of 0.64 and 0.61 in the 20% testing data and the validation data, respectively, while the full model increased these Concordance indices to 0.69 and 0.61, respectively. For preeclampsia diagnosed at 34 weeks, the baseline and full models had area under the curve (AUC) values of 0.65 and 0.70, and AUC values of 0.69 and 0.70 for preeclampsia diagnosed at 37 weeks, respectively. Both models contain 5 selective features, among which the number of fetuses in the pregnancy, hypertension, and parity are shared between the 2 models with similar hazard ratios and significant P values. In the full model, maximum diastolic blood pressure in early pregnancy was the predominant feature.
CONCLUSIONS:  Electronic health records data provide useful information to predict the gestational age of preeclampsia onset. Stratification of the cohorts using 5-predictor Cox-proportional hazards models provides clinicians with convenient tools to assess the onset time of preeclampsia in patients.

UNASSIGNED: To prospectively explore the association of maternal serum 25(OH)D levels with the infant\'s gut microbiota in Chinese populations, and to evaluate its potential influence on the dynamic change patterns of offspring\'s gut microbiota from 1 to 6 months old.
UNASSIGNED: Eighty-seven mother-infant dyads (vitamin D insufficient group vs. normal group = 59 vs. 28) were included in this longitudinal study. Two fecal samples were collected for the included infant at home by the parents at 1 month of age (\"M1 phase\") and 6 months of age (\"M6 phase\"). Gut microbiota were profiled by 16S rRNA gene sequencing. We performed mixed effects models on alpha diversity metrics, PERMANOVA tests on beta diversity distances, and linear discriminant analysis (LDA) to identify differently abundant taxa.
UNASSIGNED: We observed significantly lower Pielou\'s evenness and Shannon diversity in the vitamin D insufficient group in the M6 phase (p = 0.049 and 0.015, respectively), but not in the M1 phase (p > 0.05), and the dynamic changes in alpha diversity from 1 to 6 months old were significantly different according to maternal vitamin D status (p < 0.05). There were also significant differences in gut microbiota composition between the vitamin D insufficient group and normal group, both in the M1 and M6 phases (LDA score > 2.0, p < 0.05). Moreover, among the predicted metagenome functions, pathways related to amino acid biosynthesis, starch degradation, and purine nucleotides biosynthesis were enriched in the vitamin D insufficient group.
UNASSIGNED: Our findings highlight that maternal vitamin D status plays a pivotal role in shaping the early-life gut microbiota of the next generation.

OBJECTIVE: There is no standardized best method on monitoring of patients with gestational diabetes on diet modification in the country. This study aims to investigate the optimum method of self-monitoring blood glucose.
METHODS: This is a randomized clinical trial in a single tertiary centre involving patients with gestational diabetes mellitus (GDM) diagnosed based on NICE guideline on diet modification. The patients are randomized in 1:1 ratio to 4 or 7 points self-monitoring blood glucose. The monitoring was required to be done monthly with ultrasound for fetal growth. Blood was taken at recruitment for measurement of serum HbA1c and fructosamine.
RESULTS: A total of 200 patients were recruited. There were significantly more Malay patients in the 7 points group (88.9% vs 78.2%, p = 0.033). Multiparous patients were significantly more in the 4 points group (82.2% vs 68.7%, p = 0.033). Both groups were similar in clinical characteristics. There was no statistical difference in the neonatal outcome particularly fetal macrosomia and admission to neonatal intensive care unit.
CONCLUSIONS: In patients with GDM on diet modification, self-blood glucose monitoring using either 4 or 7 points resulted in similar maternal and perinatal outcomes. The research was registered under ClinicalTrials.gov (NCT04101396) on 17/9/2019 ( https://register.
RESULTS: gov/prs/app/action/SelectProtocol?sid=S00098EN&selectaction=Edit&uid=U0004RD4&ts=2&cx=-qlk1w2 ).

BACKGROUND: Subclinical hypothyroidism (SCH) in pregnancy is associated with adverse foetomaternal outcomes. The literature is scarce with respect to maternal and perinatal outcomes in women with mild SCH (TSH levels between 2.5-4 mIU/L).
OBJECTIVE: The primary objective of the study was to compare the pregnancy outcome between SCH and euthyroid women. The secondary objectives were to find out the proportion of women with SCH having thyroid peroxidase antibodies (TPOAb) and to see the effect of TPOAb positivity on foetomaternal outcomes.
METHODS: A total of 178 pregnant women were recruited in the first trimester, and those with TSH between 0.1 and 2.4 mIU/L were considered as euthyroid and 2.5-4mIU/L were labelled as SCH. Women with SCH underwent testing for TPOAb. All women were followed until delivery, and foetomaternal outcomes were assessed.
RESULTS: Amongst SCH group, there was a significantly higher proportion of overweight and obese women (76/91 (83.51%) vs 59/87 (68%), p = 0.031). The neonatal intensive care unit (NICU) admission was higher with adjusted odds ratio of 3.24 (1.41-7.43) in women with SCH as compared to euthyroid women. Otherwise, there was no difference in foetomaternal outcomes between the two groups. The proportion of gestational diabetes mellitus, intrauterine growth retardation and still birth were higher in SCH women with TPOAb as compared to euthyroid. Amongst SCH women, the proportion of induced labour was lower (aOR:0.27 (0.08-0.93) whereas the proportion of stillbirth and low APGAR scores were higher in TPOAb-positive women with a statistically significant difference and adjusted odds ratio (aOR:20.18 (1.84-220.83)) and (aOR:4.77 (1.06-21.3)), respectively, when compared to TPOAb-negative women.
CONCLUSIONS: There appears to be no difference in pregnancy outcomes between women with SCH and euthyroid women except higher NICU admission in SCH group. Future multi-centre large prospective studies are required to understand better about the pregnancy outcomes in these women.

BACKGROUND: Ethiopia has high rates of maternal and neonatal mortality. In 2019 and 2020, the maternal and newborn mortality rates were estimated at 412 per 1,000,000 births and 30 per 10,000 births, respectively. While mobile health interventions to improve maternal and neonatal health management have shown promising results, there are still insufficient scientific studies to assess the effectiveness of mobile phone messaging-based message framing for maternal and newborn health.
OBJECTIVE: This research aims to examine the effectiveness of mobile phone messaging-based message framing for improving the use of maternal and newborn health services in the Jimma Zone, Ethiopia.
METHODS: A 3-arm cluster-randomized trial design was used to evaluate the effects of mobile phone-based intervention on maternal and newborn health service usage. The trial arms were (1) gain-framed messages (2) loss-framed messages, and (3) usual care. A total of 21 health posts were randomized, and 588 pregnant women who had a gestational age of 16-20 weeks, irrespective of their antenatal care status, were randomly assigned to the trial arms. The intervention consisted of a series of messages dispatched from the date of enrolment until 6-8 months. The control group received existing care without messages. The primary outcomes were maternal health service usage and newborn care practice, while knowledge, attitude, self-efficacy, iron supplementation, and neonatal and maternal morbidity were secondary outcomes. The outcomes will be analyzed using a generalized linear mixed model and the findings will be reported according to the CONSORT-EHEALTH (Consolidated Standards of Reporting Trials of Electronic and Mobile HEalth Applications and onLine TeleHealth) statement for randomized controlled trials.
RESULTS: Recruitment of participants was conducted and the baseline survey was administered in March 2023. The intervention was rolled out from May 2023 till December 2023. The end-line assessment was conducted in February 2024.
CONCLUSIONS: This trial was carried out to understand how mobile phone-based messaging can improve maternal and newborn health service usage. It provides evidence for policy guidelines around mobile health strategies to improve maternal and newborn health.
BACKGROUND: Pan African Clinical Trials Registry PACTR202201753436676; https://tinyurl.com/ykhnpc49.
UNASSIGNED: DERR1-10.2196/52395.

UNASSIGNED: Epidural analgesia could increase the risk of maternal fever during labor, and the potential mechanisms involved inflammation. Neutrophil-to-lymphocyte ratio (NLR) was a sensitive inflammatory composite indicator and related to adverse outcomes in parturients. This study aimed to investigate the association between NLR levels and epidural related maternal fever (ERMF).
UNASSIGNED: This prospective cohort study included 614 parturients who underwent epidural analgesia at the Women\'s Hospital School of Medicine Zhejiang University from November 2021 to May 2023. NLR level was calculated before epidural analgesia for women. The outcome was ERMF. Univariate and multivariate logistic regression models were utilized to explore the association between NLR level and ERMF. And the association was further investigated in subgroups of age, body mass index (BMI) before pregnancy, and parity of delivery. The results were presented as odds ratios (ORs) and 95% confidence intervals (CIs).
UNASSIGNED: Totally, 614 parturients, of whom 171 (27.85%) had ERMF. High NLR level was associated with higher incidence of ERMF (OR = 2.70, 95% CI: 1.58-4.69). Parturients with ERMF had higher proportion of postpartum hemorrhage, longer labor times, and other adverse outcomes in parturients. The association also observed in subgroups of age <35 years old (OR = 2.74, 95% CI: 1.55-4.29), BMI <24 kg/m2 before pregnancy (OR = 2.32, 95% CI: 1.32-4.13), BMI ≥24 kg/m2 before pregnancy (OR = 38.28, 95%CI: 3.67-854.66), primipara (OR = 2.26, 95% CI:1.27-4.04), and multipara (OR = 30.60, 95% CI: 3.73-734.03).
UNASSIGNED: High NLR levels were associated with ERMF in women. It indicated that physicians may measure NLR levels as a regular measurement, which may beneficial for pregnancy outcomes.

BACKGROUND: Group care in child welfare and primary care settings has evolved, becoming a popular approach for maternal and infant health care. This study focuses on the perspectives of family medicine providers on group care visits for maternal and infant nutrition, a crucial aspect of primary healthcare. Hence, this study aimed to explore current practices and opinions regarding the efficacy of group care models in delivering nutrition education to mother-infant dyads.
METHODS: A quantitative, cross-sectional study was conducted among family physicians in Buraydah, Saudi Arabia, from June to August 2023. Participants were recruited using a randomized sampling method from primary healthcare centers. Data were collected through a well-structured, self-administered questionnaire. The total participant count was 60. Statistical analyses were conducted using descriptive and inferential methods.
RESULTS: The majority of participants were men (n=32, 53.3%), under 30 years of age (n=31, 51.7%), and had 0 to five years of experience in medical practice (n=32, 53.4%). A high weekly volume of infant and maternal clinic visits was reported (n=44, 73.3%) but predominantly conducted individual nutrition education sessions (n=60, 100%). A significant majority (n=41, 68.3%) expressed a positive potential for group care in nutrition education.
CONCLUSIONS: The study revealed a positive inclination among family medicine providers towards group care models for maternal and infant nutrition education. However, current practices largely involved one-on-one sessions, indicating a gap between the recognition and implementation of group care models. It underscores the need for enhanced integration of group care approaches into clinical practice, highlighting their perceived benefits in efficiency and comprehensiveness. Future steps include implementing group care programs addressing participant concerns and assessing their efficacy in educating mothers on infant nutrition.

BACKGROUND: Current postpartum hemorrhage (PPH) risk stratification is based on traditional statistical models or expert opinion. Machine learning could optimize PPH prediction by allowing for more complex modeling.
OBJECTIVE: We sought to improve PPH prediction and compare machine learning and traditional statistical methods.
METHODS: We developed models using the Consortium for Safe Labor data set (2002-2008) from 12 US hospitals. The primary outcome was a transfusion of blood products or PPH (estimated blood loss of ≥1000 mL). The secondary outcome was a transfusion of any blood product. Fifty antepartum and intrapartum characteristics and hospital characteristics were included. Logistic regression, support vector machines, multilayer perceptron, random forest, and gradient boosting (GB) were used to generate prediction models. The area under the receiver operating characteristic curve (ROC-AUC) and area under the precision/recall curve (PR-AUC) were used to compare performance.
RESULTS: Among 228,438 births, 5760 (3.1%) women had a postpartum hemorrhage, 5170 (2.8%) had a transfusion, and 10,344 (5.6%) met the criteria for the transfusion-PPH composite. Models predicting the transfusion-PPH composite using antepartum and intrapartum features had the best positive predictive values, with the GB machine learning model performing best overall (ROC-AUC=0.833, 95% CI 0.828-0.838; PR-AUC=0.210, 95% CI 0.201-0.220). The most predictive features in the GB model predicting the transfusion-PPH composite were the mode of delivery, oxytocin incremental dose for labor (mU/minute), intrapartum tocolytic use, presence of anesthesia nurse, and hospital type.
CONCLUSIONS: Machine learning offers higher discriminability than logistic regression in predicting PPH. The Consortium for Safe Labor data set may not be optimal for analyzing risk due to strong subgroup effects, which decreases accuracy and limits generalizability.

Background and Objectives: The aim of the present work was to compare the characteristics of delta and omicron variants of COVID-19 infection in pregnant women, the association of infection with comorbidity, clinical manifestation of the disease, type of delivery, and pregnancy outcome. Material and Methods: The study was designed as an observational, retrospective study of a single center. The analysis included the cohort of women who had SARS-CoV-2 infection during pregnancy and/or childbirth in the period from 1 March 2020 to 30 June 2023. Results: Out of a total of 675 pregnant women with SARS-CoV-2 infection, 130 gave birth with the delta and 253 with the omicron variant. In our retrospective analysis, pregnant women with both SARS-CoV-2 variants had a mild clinical history in most cases. In the omicron period, a significantly lower incidence of pregnancy loss (p < 0.01) and premature birth (p = 0.62) admission of mothers and newborns to the intensive care unit (p < 0.05) was recorded. Conclusions: In our retrospective analysis, pregnant women with COVID-19 infection generally exhibited a milder clinical manifestation with both variants (delta and omicron) of the viral infection. During the delta-dominant period, ten percent of affected pregnant women experienced a severe clinical history. However, during the omicron-dominant period infection, a significantly lower incidence of complications, pregnancy loss, preterm delivery, and admission of mothers and neonates to the intensive care unit was recorded. This can be partly explained by the greater presence of pregnant women with natural or induced vaccine immunity.