BackgroundAudit and classification of stillbirths is an essential part of clinical practice and a crucial step towards stillbirth prevention. Due to the limitations of the ICD system and lack of an international approach to an acceptable solution, numerous disparate classification systems have emerged. We assessed the performance of six contemporary systems to inform the development of an internationally accepted approach.MethodsWe evaluated the following systems: Amended Aberdeen, Extended Wigglesworth; PSANZ-PDC, ReCoDe, Tulip and CODAC. Nine teams from 7 countries applied the classification systems to cohorts of stillbirths from their regions using 857 stillbirth cases. The main outcome measures were: the ability to retain the important information about the death using the InfoKeep rating; the ease of use according to the Ease rating (both measures used a five-point scale with a score <2 considered unsatisfactory); inter-observer agreement and the proportion of unexplained stillbirths. A randomly selected subset of 100 stillbirths was used to assess inter-observer agreement.ResultsInfoKeep scores were significantly different across the classifications (p ≤ 0.01) due to low scores for Wigglesworth and Aberdeen. CODAC received the highest mean (SD) score of 3.40 (0.73) followed by PSANZ-PDC, ReCoDe and Tulip [2.77 (1.00), 2.36 (1.21), 1.92 (1.24) respectively]. Wigglesworth and Aberdeen resulted in a high proportion of unexplained stillbirths and CODAC and Tulip the lowest. While Ease scores were different (p ≤ 0.01), all systems received satisfactory scores; CODAC received the highest score. Aberdeen and Wigglesworth showed poor agreement with kappas of 0.35 and 0.25 respectively. Tulip performed best with a kappa of 0.74. The remainder had good to fair agreement.ConclusionThe Extended Wigglesworth and Amended Aberdeen systems cannot be recommended for classification of stillbirths. Overall, CODAC performed best with PSANZ-PDC and ReCoDe performing well. Tulip was shown to have the best agreement and a low proportion of unexplained stillbirths. The virtues of these systems need to be considered in the development of an international solution to classification of stillbirths. Further studies are required on the performance of classification systems in the context of developing countries. Suboptimal agreement highlights the importance of instituting measures to ensure consistency for any classification system.

A carefully classified dataset of perinatal mortality will retain the most significant information on the causes of death. Such information is needed for health care policy development, surveillance and international comparisons, clinical services and research. For comparability purposes, we propose a classification system that could serve all these needs, and be applicable in both developing and developed countries. It is developed to adhere to basic concepts of underlying cause in the International Classification of Diseases (ICD), although gaps in ICD prevent classification of perinatal deaths solely on existing ICD codes.We tested the Causes of Death and Associated Conditions (Codac) classification for perinatal deaths in seven populations, including two developing country settings. We identified areas of potential improvements in the ability to retain existing information, ease of use and inter-rater agreement. After revisions to address these issues we propose Version II of Codac with detailed coding instructions.The ten main categories of Codac consist of three key contributors to global perinatal mortality (intrapartum events, infections and congenital anomalies), two crucial aspects of perinatal mortality (unknown causes of death and termination of pregnancy), a clear distinction of conditions relevant only to the neonatal period and the remaining conditions are arranged in the four anatomical compartments (fetal, cord, placental and maternal).For more detail there are 94 subcategories, further specified in 577 categories in the full version. Codac is designed to accommodate both the main cause of death as well as two associated conditions. We suggest reporting not only the main cause of death, but also the associated relevant conditions so that scenarios of combined conditions and events are captured.The appropriately applied Codac system promises to better manage information on causes of perinatal deaths, the conditions associated with them, and the most common clinical scenarios for future study and comparisons.

Background: Experiences from infectious outbreaks globally, such as Ebola and severe acute respiratory syndrome (SARS), highlight the challenges of government to maintain essential healthcare services, guarantee healthcare access and at the same time shift resources to contain and mitigate the crisis. The declaration of the State of Disaster in South Africa due to the COVID 19 pandemic (on the 15th of March) and the subsequent imposition of a total national lockdown on all usual activities were anticipated to have both direct and indirect negative consequences on healthcare utilisation including reproductive healthcare services. Objective: The objective of this study is to describe the effect of the COVID-19 pandemic on family planning and termination of pregnancy services utilisation immediately following the lockdown in Gauteng Province. Methods: We analysed the administrative data on clinical services utilisation during the previous two years, including five weeks following the enforcement of the lockdown in South Africa, from the District Health Information System database over the period 1 April 2018-30 April 2020. Results: Primary healthcare utilisation headcounts across the province declined by nearly 500,000 visits following the lockdown period. Family planning utilisation patterns which are demand-driven declined during the two months preceding the COVID-19 pandemic and further declined during the lockdown. Switching contraceptive methods to those with less effectiveness were noted as a trend over the previous two years. Year on year comparisons from April 2018 to April 2020 indicated a consistent decline in the use of injectable methods and increased use of oral contraceptive pills. Conclusion: This review highlights the importance of monitoring the utilisation of routine healthcare services during the outbreak situations to ensure that service provision is not compromised. Women of reproductive age must be able to exercise their reproductive choices to prevent unintended pregnancies and to reduce their risk of mortality as a result of diminished access to reproductive healthcare services.

Objective: To describe risk factors and outcomes of pregnant women infected with SARS-CoV-2 admitted to South African healthcare facilities. Methods:A population-based cohort study was conducted utilizing an amended International Obstetric Surveillance System protocol. Data on pregnant women with SARS-CoV-2 infection, hospitalized between April 14, 2020, and November 24, 2020, were analyzed.Results: A total of 36 hospitals submitted data on 673 infected hospitalized pregnant women; 217 (32.2%) were admitted for COVID-19 illness and 456 for other indications. There were 39 deaths with a case fatality rate of 6.3%: 32 (14.7%) deaths occurred in women admitted for COVID-19 illness compared to 7 (1.8%) in women admitted for other indications. Of the women, 106 (15.9%) required critical care.Maternal tuberculosis, but not HIV co-infection or other co-morbidities, was associated with admission for COVID-19 illness. Rates of cesarean delivery did not differ significantly between women admitted for COVID-19 and those admitted for other indications. There were 179 (35.4%) preterm births, 25 (4.7%) stillbirths, 12 (2.3%) neonatal deaths, and 162 (30.8%) neonatal admissions. Neonatal outcomes did not differ significantly from those of infected women admitted for other indications. Conclusion:The maternal mortality rate was high among women admitted with SARS-CoV-2 infection and higher in women admitted primarily for COVID-19 illness with tuberculosis being the only co-morbidity associated with admission.