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BACKGROUND: Significant inequalities still exist between low- and high-income countries regarding access to optimum emergency obstetric care including life-saving emergency caesarean section. These relationships are considerably stronger between population-based caesarean section rates and socio-economic characteristics with poorest households experiencing significant unmet needs persistently. OBJECTIVE: To explore the characteristics of women receiving emergency C-section using a new, validated definition in Ghana and the Dominican Republic. MATERIALS AND METHODS: This was a cross-sectional study conducted in Ghana and the Dominican Republic. Multivariable logistic regression analysis was used to determine women's characteristics associated with emergency C-section. RESULTS: This analysis included 2166 women who had recently delivered via C-section comprising 653 and 1513 participants from Accra and Santo Domingo, DR, respectively. Multivariable analyses showed that women, both in Ghana and the DR, were more likely to have an emergency C-section if they did not have a previous C-Section (adjusted Odds Ratio (aOR): 2.45, 95% CI [1.57-3.81]; and aOR: 15.5, 95% CI [10.5-22.90], respectively) and if they were having their first childbirth, compared to women with previous childbirth (aOR: 1.77, 95%CI [1.13-2.79]; and aOR: 1.46, 95%CI [1.04-2.04], respectively). Also, preterm birth was associated with significantly decreased likelihood of emergency C-section compared with childbirth occurring at term in both Ghana and the DR (aOR: 0.31, 95%CI [0.20-0.48]; and aOR: 0.43, 95%CI [0.32-0.58], respectively). Among the Ghanaian participants, having an emergency C-section was positively associated with being referred and negatively associated with being older than 35 years of age. Characteristics such as education, religion, marital status, and residence did not differ between women's emergency versus non-emergency C-section status. CONCLUSION: Emergency C-section was found to be significantly higher in women with no prior C-section or those having their first births but lower in those with preterm birth in both Ghana and the DR. Data from additional countries are needed to confirm the relationship between emergency C-section status and socio-economic and obstetric characteristics, given that the types of interventions required to assure equitable access to potentially life-saving C-section will be determined by how and when access to care is being denied or not available.

Assuntos

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OBJECTIVE: To generate a global reference for caesarean section (CS) rates at health facilities. DESIGN: Cross-sectional study. SETTING: Health facilities from 43 countries. POPULATION/SAMPLE: Thirty eight thousand three hundred and twenty-four women giving birth from 22 countries for model building and 10,045,875 women giving birth from 43 countries for model testing. METHODS: We hypothesised that mathematical models could determine the relationship between clinical-obstetric characteristics and CS. These models generated probabilities of CS that could be compared with the observed CS rates. We devised a three-step approach to generate the global benchmark of CS rates at health facilities: creation of a multi-country reference population, building mathematical models, and testing these models. MAIN OUTCOME MEASURES: Area under the ROC curves, diagnostic odds ratio, expected CS rate, observed CS rate. RESULTS: According to the different versions of the model, areas under the ROC curves suggested a good discriminatory capacity of C-Model, with summary estimates ranging from 0.832 to 0.844. The C-Model was able to generate expected CS rates adjusted for the case-mix of the obstetric population. We have also prepared an e-calculator to facilitate use of C-Model (www.who.int/reproductivehealth/publications/maternal_perinatal_health/c-model/en/). CONCLUSIONS: This article describes the development of a global reference for CS rates. Based on maternal characteristics, this tool was able to generate an individualised expected CS rate for health facilities or groups of health facilities. With C-Model, obstetric teams, health system managers, health facilities, health insurance companies, and governments can produce a customised reference CS rate for assessing use (and overuse) of CS. TWEETABLE ABSTRACT: The C-Model provides a customized benchmark for caesarean section rates in health facilities and systems.

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BACKGROUND: The World Health Organization (WHO) is in the process of updating antenatal care (ANC) guidelines. OBJECTIVES: To map the existing clinical practice guidelines related to routine ANC for healthy women and to summarise all practices considered during routine ANC. SEARCH STRATEGY: A systematic search in four databases for all clinical practice guidelines published after January 2000. SELECTION CRITERIA: Two researchers independently assessed the list of potentially eligible publications. DATA COLLECTION AND ANALYSIS: Information on scope of the guideline, type of practice, associated gestational age, recommendation type and the source of evidence were mapped. MAIN RESULTS: Of 1866 references, we identified 85 guidelines focusing on the ANC period: 15 pertaining to routine ANC and 70 pertaining to specific situations. A total of 135 interventions from routine ANC guidelines were extracted, and categorised as clinical interventions (n = 80), screening/diagnostic procedures (n = 47) and health systems related (n = 8). Screening interventions, (syphilis, anaemia) were the most common practices. Within the 70 specific situation guidelines, 102 recommendations were identified. Overall, for 33 (out of 171) interventions there were conflicting recommendations provided by the different guidelines. CONCLUSION: Mapping the current guidelines including practices related to routine ANC informed the scoping phase for the WHO guideline for ANC. Our analysis indicates that guideline development processes may lead to different recommendations, due to context, evidence base or assessment of evidence. It would be useful for guideline developers to map and refer to other similar guidelines and, where relevant, explore the discrepancies in recommendations and others. TWEETABLE ABSTRACT: We identified existing ANC guidelines and mapped scope, practices, recommendations and source of evidence.

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Assuntos

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OBJECTIVE: To develop and test markers of neonatal severe morbidity for the identification of neonatal near-miss cases. DESIGN: This is a database analysis of two World Health Organization cross-sectional studies: the Global Survey on Maternal and Perinatal Health (WHOGS) and the Multicountry Survey on Maternal and Newborn Health (WHOMCS). SETTING: The WHOGS was performed in 373 health facilities in 24 countries (2004-2008). The WHOMCS was conducted in 359 health facilities in 29 countries (2010-2011). POPULATION: Data were collected from hospital records of all women admitted for delivery and their respective neonates. METHODS: Pragmatic markers (birthweight <1750 g, Apgar score at 5 minutes <7, and gestational age <33 weeks) were developed with WHOGS data and validated with WHOMCS data. The diagnostic accuracy of neonatal characteristics and management markers of severity was determined in the WHOMCS. RESULTS: This analysis included 290 610 liveborn neonates from WHOGS and 310 436 liveborn neonates from WHOMCS. The diagnostic accuracy of pragmatic and management markers of severity for identifying early neonatal deaths was very high: sensitivity, 92.8% (95% CI 91.8-93.7%); specificity, 92.7% (95% CI 92.6-92.8%); positive likelihood ratio, 12.7 (95% CI 12.5-12.9); negative likelihood ratio, 0.08 (95% CI 0.07-0.09); diagnostic odds ratio, 163.4 (95% CI 141.6-188.4). A positive association was found between the frequency of neonatal near-miss cases and Human Development Index. CONCLUSION: Newborn infants presenting selected markers of severity and surviving the first neonatal week could be considered as neonatal near-miss cases. This definition and criteria may be seen as a basis for future applications of the near-miss concept in neonatal health. These tools can be used to inform policy makers on how best to apply scarce resources for improving the quality of care and reducing neonatal mortality.

Assuntos