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BackgroundAntenatal care (ANC) is an essential platform to improve maternal and newborn health (MNH). While several articles have described the content of ANC in low- and middle-income countries (LMICs), few have investigated the quality of detection and management of pregnancy risk factors during ANC. It remains unclear whether women with pregnancy risk factors receive targeted management and additional ANC.Methods and findingsThis observational study uses baseline data from the MNH eCohort study conducted in 8 sites in Ethiopia, India, Kenya, and South Africa from April 2023 to January 2024. A total of 4,068 pregnant women seeking ANC for the first time in their pregnancy were surveyed. We built country-specific ANC completeness indices that measured provision of 16 to 22 recommended clinical actions in 5 domains: physical examinations, diagnostic tests, history taking and screening, counselling, and treatment and prevention. We investigated whether women with pregnancy risks tended to receive higher quality care and we assessed the quality of detection and management of 7 concurrent illnesses and pregnancy risk factors (anemia, undernutrition, obesity, chronic illnesses, depression, prior obstetric complications, and danger signs). ANC completeness ranged from 43% in Ethiopia, 66% in Kenya, 73% in India, and 76% in South Africa, with large gaps in history taking, screening, and counselling. Most women in Ethiopia, Kenya, and South Africa initiated ANC in second or third trimesters. We used country-specific multivariable mixed-effects linear regression models to investigate factors associated with ANC completeness. Models included individual demographics, health status, presence of risk factors, health facility characteristics, and fixed effects for the study site. We found that some facility characteristics (staffing, patient volume, structural readiness) were associated with variation in ANC completeness. In contrast, pregnancy risk factors were only associated with a 1.7 percentage points increase in ANC completeness (95% confidence interval 0.3, 3.0, p-value 0.014) in Kenya only. Poor self-reported health was associated with higher ANC completeness in India and South Africa and with lower ANC completeness in Ethiopia. Some concurrent illnesses and risk factors were overlooked during the ANC visit. Between 0% and 6% of undernourished women were prescribed food supplementation and only 1% to 3% of women with depression were referred to a mental health provider or prescribed antidepressants. Only 36% to 73% of women who had previously experienced an obstetric complication (a miscarriage, preterm birth, stillbirth, or newborn death) discussed their obstetric history with the provider during the first ANC visit. Although we aimed to validate self-reported information on health status and content of care with data from health cards, our findings may be affected by recall or other information biases.ConclusionsIn this study, we observed gaps in adherence to ANC standards, particularly for women in need of specialized management. Strategies to maximize the potential health benefits of ANC should target women at risk of poor pregnancy outcomes and improve early initiation of ANC in the first trimester.

Background: Clinical accompaniment is an activity predominantly supervised by the clinical facilitator to develop the skills of the students. In South Africa, clinical accompaniment aims to develop the skills of the students to equip them in delivering efficient health services to the patients. Previous studies revealed that students experienced challenges and were negatively affected due to inadequate clinical accompaniment in the learning practice. Aim: The aim was to determine the challenges faced by University of KwaZulu-Natal (UKZN) undergraduate nursing students during their clinical accompaniment. Methods: An observational cross-sectional study design, with an analytic component was implemented. Questionnaires were used to collect data. Of the 400 registered nursing students, 245 were undergraduates; of these, 241 consented to participate in this study. Data captured into SPSS Statistics Package V28. ANOVA were used in comparing challenges amongst participants. A p-value less than 0.05 was considered significant. Results: A total of 241 participants responded to the questionnaires, which yielded a response rate of 98.4%. This study comprised first-year (32.4%), second-year (32.8%) and third-year (34.9%) students. There was no remarkable difference in terms of challenges amongst study participants (1st; 2nd; 3rd), p=0.592. Conclusion: This study revealed the challenges faced by undergraduate nursing students during their clinical accompaniment. Contribution: Study results might assist in developing effective guidelines to resolve the challenges encountered by students.

Abstract Background In countries such as Eswatini, where there is a high HIV prevalence and low male circumcision the World Health Organization and the Joint United Nations Programme for HIV/AIDS recommend infant and adult circumcision be implemented. The aim of this study was to assess the knowledge, attitudes and acceptability of voluntary medical male circumcision amongst males attending high school in Eswatini. Methods An observational cross-sectional study was conducted during February and March of 2018 amongst 407 young males (15–21 years) attending Form 4, in nine high schools in the Shiselweni region of Eswatini using a self-administered questionnaire of 42 close ended questions. Sociodemographic details, circumcision status, acceptance of voluntary medical male circumcision, knowledge and attitude scores analysed in Stata® 14 statistical software were described using frequencies, medians and ranges respectively. Bivariate and multivariate linear regression was used to assess the impact of independent variables on circumcision status and acceptance of voluntary medical male circumcision. The level of statistical significance was p

Abstract COVID-19 has prompted the use of readily available administrative data to track health system performance in times of crisis and to monitor disruptions in essential healthcare services. In this commentary we describe our experience working with these data and lessons learned across countries. Since April 2020, the Quality Evidence for Health System Transformation (QuEST) network has used administrative data and routine health information systems (RHIS) to assess health system performance during COVID-19 in Chile, Ethiopia, Ghana, Haiti, Lao People’s Democratic Republic, Mexico, Nepal, South Africa, Republic of Korea and Thailand. We compiled a large set of indicators related to common health conditions for the purpose of multicountry comparisons. The study compiled 73 indicators. A total of 43% of the indicators compiled pertained to reproductive, maternal, newborn and child health (RMNCH). Only 12% of the indicators were related to hypertension, diabetes or cancer care. We also found few indicators related to mental health services and outcomes within these data systems. Moreover, 72% of the indicators compiled were related to volume of services delivered, 18% to health outcomes and only 10% to the quality of processes of care. While several datasets were complete or near-complete censuses of all health facilities in the country, others excluded some facility types or population groups. In some countries, RHIS did not capture services delivered through non-visit or nonconventional care during COVID-19, such as telemedicine. We propose the following recommendations to improve the analysis of administrative and RHIS data to track health system performance in times of crisis: ensure the scope of health conditions covered is aligned with the burden of disease, increase the number of indicators related to quality of care and health outcomes; incorporate data on nonconventional care such as telehealth; continue improving data quality and expand reporting from private sector facilities; move towards collecting patient-level data through electronic health records to facilitate quality-of-care assessment and equity analyses; implement more resilient and standardized health information technologies; reduce delays and loosen restrictions for researchers to access the data; complement routine data with patient-reported data; and employ mixed methods to better understand the underlying causes of service disruptions.

Background: About 20 million children under fi-ve in Southern Africa have chronic malnutrition. This study determines the prevalence of chronic malnutrition and associated risk factors amongst children under five. Aim: To determine the proportion of children with chronic malnutrition and investigate associated risk factors of chronic malnutrition. Setting: The study was conducted in communities in the four regions of Eswatini. Methods: This study is a retrospective cross-sectional study that used data from a Multiple Indicator Cluster Survey (MICS) conducted in 2014. The study involved 3261 children who are under 5 years of age. Data on nutritional status and household characteristics were used. Logistic regression was used to identify factors associated with chronic malnutrition in the univariable and multivariable models, respectively. Results: Results showed that 18.1% (confidence interval [CI]: 18.5–21.5) of children under five have chronic malnutrition. The highest prevalence was 20.8% (CI: 17.4–24.7) in the Shiselweni region, followed by the Manzini region with 17.6% (CI: 14.5–21.1) and the Lubombo region with 17.2% (CI: 13.9–21.2). The lowest prevalence of chronic malnutrition at 16.7% (CI: 13.6–20.3) was the Hhohho region. The results indicated that low birth weight (odds ratio [OR] = 4.63, CI: 1.12–19.2), mothers’ lack of education (OR = 1.50, CI: 1.04–2.17) and children aged 12–24 months (OR = 1.28, CI: 0.88–1.87) were significantly associated with chronic malnutrition. Conclusion: The findings showed that malnutrition is an important public health problem in children under five and needs a multisectoral response. Low birth weight, mothers’ education and the child’s age are risk factors associated with chronic malnutrition. Contribution: The results inform evidence-based programming for the prevention of chronic malnutrition in children thus assist the country to meet sustainable development goals.

No abstract available.

Background: About 20 million children under five in Southern Africa have chronic malnutrition. This study determines the prevalence of chronic malnutrition and associated risk factors amongst children under five. Aim: To determine the proportion of children with chronic malnutrition and investigate associated risk factors of chronic malnutrition. Setting: The study was conducted in communities in the four regions of Eswatini. Methods: This study is a retrospective cross-sectional study that used data from a Multiple Indicator Cluster Survey (MICS) conducted in 2014. The study involved 3261 children who are under 5 years of age. Data on nutritional status and household characteristics were used. Logistic regression was used to identify factors associated with chronic malnutrition in the univariable and multivariable models, respectively. Results: Results showed that 18.1% (confidence interval [CI]: 18.5-21.5) of children under five have chronic malnutrition. The highest prevalence was 20.8% (CI: 17.4-24.7) in the Shiselweni region, followed by the Manzini region with 17.6% (CI: 14.5-21.1) and the Lubombo region with 17.2% (CI: 13.9-21.2). The lowest prevalence of chronic malnutrition at 16.7% (CI: 13.6-20.3) was the Hhohho region. The results indicated that low birth weight (odds ratio [OR] = 4.63, CI: 1.12-19.2), mothers' lack of education (OR = 1.50, CI: 1.04-2.17) and children aged 12-24 months (OR = 1.28, CI: 0.88-1.87) were significantly associated with chronic malnutrition. Conclusion: The findings showed that malnutrition is an important public health problem in children under five and needs a multisectoral response. Low birth weight, mothers' education and the child's age are risk factors associated with chronic malnutrition. [ABSTRACT FROM AUTHOR]