Amoxicillin (AMO) and amikacin (AMK) are broad-spectrum antibiotics that are most preferably given post-delivery (normal and cesarian) in the maternity hospitals located in Sagar city (Madhya ...Pradesh), India. Both the antibiotics make their way through sewage/drainage systems into the environment in the form of metabolized and unmetabolized compounds. Growing concern about the contamination of wastewater by antibiotics requires fast, sensitive and eco-friendly techniques. Therefore a simple, rapid and environmental friendly chromatographic method has been developed for simultaneous determination of AMO and AMK in maternity hospital wastewater samples. A micellar liquid chromatographic (MLC) method was developed with a C18 column (250 mm × 4.6 mm), sodium dodecyl sulphate (SDS; 0.15 M), 1-butanol (7%) as a modifier, pH 5 and photo diode detector (PDA) at 270 nm and 256 nm for AMO and AMK respectively. The method was fast with analysis time below 9 min. In the present MLC method, linearities (r > 0.998), limits of quantification in the range of 0.02–0.04 μg/mL, repeatabilities, and intermediate precision below 4.9% were adequate for the quantification of AMO and AMK. The proposed method can be utilized to detect and quantify both the antibiotics in various samples by hospitals, pharmaceutical companies, pollution control board, municipal corporations, etc.
•A simple green MLC-PDA method was developed.•Method is suitable for routine analysis of AMO and AMK in hospital wastewater.•Separation of the selected antibiotics was accomplished within 9 min.•The developed method was used to analyze 66 samples of wastewater.
Aim
To explore nurse‐midwives' perceptions of safety culture in maternity hospitals.
Design
A descriptive phenomenological study was conducted using focus groups and reported following the ...Consolidated Criteria for Reporting Qualitative Research.
Methods
Data were obtained through two online focus group sessions in June 2022 with 13 nurse‐midwives from two maternity hospitals in the central region of Portugal. The first focus group comprised 6 nurse‐midwives, and the second comprised 7 nurse‐midwives. Qualitative data were analysed using content analysis.
Findings
Two main themes emerged from the data: (i) barriers to promoting a safety culture; (ii) safety culture promotion strategies. The first theme is supported by four categories: ineffective communication, unproductive management, instability in teams and the problem of errors in care delivery. The second theme is supported by two categories: managers' commitment to safety and the promotion of effective communication.
Conclusion
The study results show that the safety culture in maternity hospitals is compromised by ineffective communication, team instability, insufficient allocation of nurse‐midwives, a prevailing punitive culture and underreporting of adverse events. These highlight the need for managers to commit to providing better working conditions, encourage training with the development of a fairer safety culture and encourage reporting and learning from mistakes. There is also a need to invest in team leaders who allow better conflict management and optimization of communication skills is essential.
Impact
Disseminating these results will provide relevance to the safety culture problem, allowing greater awareness of nurse‐midwives and managers about vulnerable areas, and lead to the implementation of effective changes for safe maternal and neonatal care.
Patient or Public Contribution
There was no patient or public contribution as the study only concerned service providers, that is, nurse‐midwives themselves.
Aims
To investigate Group B Streptococcus (GBS) colonization in pregnancy; adherence to antenatal GBS screening and adherence to the intrapartum antibiotics protocol within two models of care ...(midwifery and non‐midwifery led).
Design
This retrospective quantitative study has employed a descriptive design using administrative health data.
Methods
Data from five maternity hospitals in metropolitan and regional Western Australia that included 22,417 pregnant women who gave birth between 2015 and 2019 were examined, applying descriptive statistics using secondary data analysis.
Results
The study revealed an overall GBS colonization rate of 21.7% with similar rates in the different cohorts. A lower adherence to screening was found in the midwifery led model of care (MMC, 68.76%, n = 7232) when compared with the non‐midwifery led model of care (NMMC, 90.49%, n = 10,767). Over the 5 years, screening rates trended down in the MMC with stable numbers in the counterpart. Adherence in relation to intrapartum antibiotic prophylaxis revealed discrepant findings between the study groups.
Conclusion
Adherence to screening and management guidelines of maternal GBS colonization in pregnancy is lower within the MMC when compared with the NMMC.
Impact
This is the first cohort study to describe the adherence to the recommended Western Australian GBS screening guidelines in the two different models of care. Findings may assist in the guidance and improvement of clinical protocols as well as the planning of clinical care in relation to GBS screening to reduce the risk of neonatal GBS infection.
Lack of a validated assessment of maternal risk-appropriate care for use in population data has prevented the existing literature from quantifying the benefit of maternal risk-appropriate care. The ...objective of this study was to develop a measure of hospital maternal levels of care based on the resources available at the hospital, using existing data available to researchers.
This was a secondary data analysis. The sample was abstracted from the American Hospital Association Annual Survey Database for 2018. Eligibility was limited to short-term acute general hospitals that reported providing maternity services as measured by hospital reporting of an obstetric service level, obstetric services, or birthing rooms. We aligned variables in the database with the ACOG criteria for each maternal level of care, then built models that used the variables to measure the maternal level of care. In each iteration, the distribution of hospitals was compared to the distribution in the CDC Levels of Care Assessment Tool Validation Pilot, assessing agreement with the Wilson Score for proportions for each level of care. Results were compared to hospital self-report in the database and measurement reported with another published method.
The sample included 2,351 hospitals. AHA variables were available to measure resources that align with ACOG Levels 1, 2, and 3. Overall, 1219 (51.9%) of hospitals reported resources aligned with Maternal Level One, 816 (34.7%) aligned with maternal level two, and 202 (8.6%) aligned with maternal level Three. This method overestimates the prevalence of hospitals with maternal level one compared to the CDC measurement of 36.1% (Mean 52.9%; 95% CI47.2%-58.7%), and likely includes hospitals that would not qualify as level one if all resources required by the ACOG guidelines could be assessed. This method underestimates the prevalence of hospitals with maternal critical care services (Level 3 or 4) compared to CDC measure of 12.1% (Mean 8.1%; 95%CI 6.2% - 10.0%) but is an improvement over hospital self-report (24.7%) and a prior published method (32.3%).
This method of measuring maternal level of care allows researchers to investigate the value of perinatal regionalization, risk-appropriate care, and hospital differences among the three levels of care. This study identified potential changes to the American Hospital Association Annual Survey that would improve identification of maternal levels of care for research.
Celotno besedilo
Dostopno za:
CEKLJ, DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
•Only a minority of European infants are breastfed according to health guidelines.•The in-hospital postpartum stay marks the proper onset of breastfeeding.•Best algorithm accurately predicted ...lactation from individual and setting factors.•Explainable Machine Learning is useful for decision-making support for breastfeeding.•The predictors’ importance, non-linearity and effect heterogeneity were identified.
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Adequate support in maternity wards is decisive for breastfeeding outcomes during the first year of life. Quality improvement interventions require the identification of the factors influencing hospital benchmark indicators. Machine Learning (ML) models and post-hoc Explainable Artificial Intelligence (XAI) techniques allow accurate predictions and explaining them. This study aimed to predict exclusive breastfeeding during the in-hospital postpartum stay by ML algorithms and explain the ML model’s behaviour to support decision making.
The dataset included 2042 mothers giving birth in 18 hospitals in Eastern Spain. We obtained information on demographics, mothers’ breastfeeding experiences, clinical variables, and participating hospitals’ support conditions. The outcome variable was exclusive breastfeeding during the in-hospital postpartum stay. We tested algorithms from different ML families. To evaluate the ML models, we applied 10-fold stratified cross-validation. We used the following metrics: Area under curve receiver operating characteristic (ROC AUC), area under curve precision-recall (PR AUC), accuracy, and Brier score. After selecting the best fitting model, we calculated Shapley’s additive values to assign weights to each predictor depending on its additive contribution to the outcome and to explain the predictions.
The XGBoost algorithms showed the best metrics (ROC AUC = 0.78, PR AUC = 0.86, accuracy = 0.75, Brier = 0.17). The main predictors of the model included, in order of importance, the pacifier use, the degree of breastfeeding self-efficacy, the previous breastfeeding experience, the birth weight, the admission of the baby to a neonatal care unit after birth, the moment of the first skin-to-skin contact between mother and baby, and the Baby-Friendly Hospital Initiative accreditation of the hospital. Specific examples for linear and nonlinear relations between main predictors and the outcome and heterogeneity of effects are presented. Also, we describe diverse individual cases showing the variation of the prediction depending on individual characteristics.
The ML model adequately predicted exclusive breastfeeding during the in-hospital stay. Our results pointed to opportunities for improving care related to support for specific mother’s groups, defined by current and previous infant feeding experiences and clinical conditions of the newborns, and the participating hospitals’ support conditions. Also, XAI techniques allowed identifying non-linearity relations and effect’s heterogeneity, explaining specific cases’ risk variations.
Previous studies indicated associations between cesarean section (CS), breastfeeding, and depressive symptoms. There is, however, little research integrating these variables into one model to analyze ...their interrelations. The aim of this observational prospective longitudinal study is to examine whether the effect of CS on postpartum depressive symptoms is mediated by difficulties with breastfeeding.
The participants were recruited in 5 maternity hospitals during their prenatal medical check-ups. Breastfeeding status was self-reported by the mothers six weeks postpartum. Screening for depressive symptoms was performed at six weeks (N = 404) and nine months (N = 234) postpartum using the Edinburgh Postnatal Depression Scale. Path analysis was used to model the relations between CS, breastfeeding, and depressive symptoms.
No direct effects of CS on depressive symptoms at six weeks or nine months postpartum were found. CS was associated with a lower probability of exclusive breastfeeding, which was, in turn, associated with higher levels of depressive symptoms six weeks postpartum. The analysis stratified by type of CS revealed that the effect on breastfeeding only occurred with emergency, not planned, CS. The effect of CS on breastfeeding was noticeably stronger in women without versus with a history of depression.
Emergency CS predicts breastfeeding difficulties, which are, in turn, associated with higher levels of depressive symptoms. Support should be provided to mothers with emergency CS and breastfeeding problems to reduce the risk of postpartum depressive symptoms in the early postpartum period.
•Emergency cesarean section predicts a lower probability of exclusive breastfeeding.•This effect was stronger in women without versus with a history of depression.•Exclusive breastfeeding was associated with lower levels of depressive symptoms.
Background
There is widespread concern around the rising rates of cesarean births (CBs), especially among first‐time mothers, despite evidence suggesting increased morbidities after birth by ...cesarean. There are uncertainties around factors associated with rising rates of CBs among first‐time mothers in Ireland, and insight into these is essential for understanding the rising trend in CBs. Therefore, this study aimed to identify the factors associated with CBs in nulliparous women.
Methods
A prospective cohort study was conducted in three maternity hospitals in the Republic of Ireland between 2012 and 2017. Data were collected from 3047 nulliparous women using self‐administered surveys antenatally and at 3 months postpartum and from consenting women’s hospital records (n = 2755) and analyzed using the Poisson regression to assess associations between demographic and clinical factors and the main outcome measures, planned and unplanned CBs.
Results
Common risk factors for planned and unplanned CBs were being aged ≥40 years, being in private care, multiple pregnancy, and fetus in breech or other malpresentations. An unplanned CB occurred for 22.43% (n = 377/1681) of women who did not have induction of labor (IOL) or who had IOL with no epidural, but the risk was about twice as high for women who had IOL and epidural.
Conclusions
Findings confirm multifactorial reasons for CB and the challenge of reversing the increasing CB rate if maternal age, overweight/obesity, infertility treatment, multiple pregnancy, and preexisting hypertension in Ireland continue to increase. There is a need to address prelabor interventions, especially IOL combined with epidural analgesia with respect to unplanned CB.
Resumo: O objetivo deste trabalho foi estimar a peregrinação de gestantes no momento do parto e identificar os fatores associados a essa peregrinação em duas cidades brasileiras. Estudo seccional, ...aninhado à coorte de nascimento BRISA, cuja amostra foi composta por 10.475 gestantes admitidas nas maternidades selecionadas por ocasião do parto em São Luís (Maranhão) e Ribeirão Preto (São Paulo). Entrevistas foram realizadas utilizando-se questionários que continham variáveis sociodemográficas e relacionadas ao parto. Utilizou-se modelagem hierarquizada, e calculou-se o risco relativo utilizando regressão de Poisson. A peregrinação foi mais frequente em São Luís (35,8%) que em Ribeirão Preto (5,8%). Em São Luís, foram fatores associados à maior peregrinação: ser primípara (RR = 1,19; IC95%: 1,08-1,31) e ter escolaridade menor que 12 ou mais anos de estudo. Entretanto, ter 35 anos ou mais (RR = 0,65; IC95%: 0,54-0,84) foi fator associado à menor peregrinação. Em Ribeirão Preto, peregrinaram com maior frequência as gestantes cujos partos foram de alto risco (RR = 2,45; IC95%: 1,81-3,32) e com idade gestacional inferior a 37 semanas (RR = 1,93; IC95%: 1,50-2,50). No entanto, partos com idade gestacional igual ou acima de 42 semanas foi um fator associado à menor peregrinação (RR = 0,57; IC95%: 0,33-0,98). Nas duas cidades, gestantes pobres peregrinaram com maior frequência, e sem garantia de que seriam atendidas, mesmo dentre as que realizaram o pré-natal. O estudo evidenciou ausência da garantia de acesso universal e equânime e reafirmou a desigualdade de acesso à assistência ao parto entre as regiões brasileiras.
Background
Hypertensive disorders of pregnancy (HDP) are common obstetric medical problems. Compliance with clinical guidelines and evidence from major trials has the potential to translate to ...significantly improve maternal and perinatal outcomes. The aims of this study were to prospectively review management of HDP in an Australian cohort in the context of the Society of Obstetric Medicine of Australian and New Zealand (SOMANZ) guidelines and current evidence in published literature regarding management controversies.
Methods
The management of 100 pregnant women with HDP and prescription for antihypertensive medication at two tertiary obstetric centres was prospectively reviewed in 2013. Compliance with SOMANZ guidelines, uptake of findings from the HYPITAT trial and the Control of Hypertension In Pregnancy Study (CHIPS) trial were assessed.
Results
Sixty-eight women had chronic hypertension, while 32 had gestational hypertension. Management of HDP was mostly consistent with current SOMANZ guidelines and evidence from CHIPS and HYPITAT.
Conclusion
Clinicians were practising according to the current SOMANZ guidelines, indicating vigilance on behalf of the treating team.
Background
The United States physician shortages affect rural health care access, including maternity care. Project aims were to identify and characterize prenatal and delivery care in Michigan's ...rural counties and to explore access to trial of labor after cesarean (TOLAC) services for women in rural Michigan.
Methods
Descriptive, cross‐sectional design used 2015 Medicaid claims data and public health plan information to identify maternity care services provided within Michigan's rural counties. Publicly available health plan information was used to identify rural maternity hospitals and prenatal care practitioners; findings were verified by Internet searches and telephone interviews. Medicaid claims data were used to determine services provided. High‐risk geographic areas were defined as those where women needed to travel >30 miles for maternity‐related care. Expected TOLAC rate was determined based on published national birth data; rural hospitals were stratified based on whether they met the expected TOLAC rate, delivered 20%‐60% of expected rate, or billed ≤1 TOLAC birth to Medicaid in 2015.
Results
In Michigan's 57 rural counties, only 29 hospitals provide maternity care. Geographic high‐risk areas were identified in the Upper Peninsula and northeast Lower Peninsula of Michigan. Only two rural hospitals billed for the expected rate of TOLAC births; six delivered at a lower rate, and the remaining 21 hospitals provided no TOLAC services, resulting in large areas of the state where women were not offered this option locally.
Conclusions
Maternity care services are limited for many rural Michigan women. Findings can be used to target specific strategies to improve access to care for these women. Similar analyses, exploring patterns of maternity care delivery in other rural regions worldwide, may uncover similar or additional inequities.
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