4 research outputs found
Evidence for an enhanced HIV/AIDS policy and care in Cameroon: proceedings of the second Cameroon HIV Research Forum (CAM-HERO) 2021
To achieve the Sustainable Development Goal of zero hunger, multi-sectoral strategies to improve nutrition are necessary.
Building towards this goal, the food and agriculture sector must be considered when designing nutritional interventions.
Nevertheless, most frameworks designed to guide nutritional interventions do not adequately capture opportunities for
integrating nutrition interventions within the food and agriculture sector. This paper aims to highlight how deeply connected the food and agriculture sector is to underlying causes of malnutrition and identify opportunities to better integrate the food and agriculture sector and nutrition in low and middle income countries. In particular, this paper: (1) expands on the UNICEF conceptual framework for undernutrition to integrate the food and agriculture sector and nutrition outcomes, (2) identifies how nutritional outcomes and agriculture are linked in six important ways by defining evidence-based food and agriculture system components within these pathways: as a source of food, as a source of income, through food prices, women’s empowerment, women’s utilization of time, and women’s health and nutritional status, and (3) shows that the food and agriculture sector facilitates interventions through production, processing and consumption, as well as through farmer practices and behavior. Current frameworks used to guide nutrition interventions are designed from a health sector paradigm, leaving agricultural aspects not sufficiently leveraged. This paper concludes by proposing intervention opportunities
to rectify the missed opportunities generated by this approach. Program design should consider the ways that the food and
agriculture sector is linked to other critical sectors to comprehensively address malnutrition. This framework is designed to help the user to begin to identify intervention sites that may be considered when planning and implementing multi-sectoral
nutrition program
Maternal and neonatal outcomes after caesarean delivery in the African Surgical Outcomes Study : a 7-day prospective observational cohort study
CITATION: Bishop, D. et al. Maternal and neonatal outcomes after caesarean delivery in the African Surgical Outcomes Study : a 7-day prospective observational cohort study. The Lancet Global Health, 7(2):e513-e522. doi:10.1016/S2214-109X(19)30036-1The original publication is available at https://www.thelancet.com/journals/langlo/issue/vol7no2/PIIS2214-109X(19)X0002-9Background: Maternal and neonatal mortality is high in Africa, but few large, prospective studies have been done to investigate the risk factors associated with these poor maternal and neonatal outcomes.
Methods: A 7-day, international, prospective, observational cohort study was done in patients having caesarean delivery
in 183 hospitals across 22 countries in Africa. The inclusion criteria were all consecutive patients (aged ≥18 years)
admitted to participating centres having elective and non-elective caesarean delivery during the 7-day study cohort
period. To ensure a representative sample, each hospital had to provide data for 90% of the eligible patients during the
recruitment week. The primary outcome was in-hospital maternal mortality and complications, which were assessed
by local investigators. The study was registered on the South African National Health Research Database, number
KZ_2015RP7_22, and on ClinicalTrials.gov, number NCT03044899.
Findings: Between February, 2016, and May, 2016, 3792 patients were recruited from hospitals across Africa. 3685 were
included in the postoperative complications analysis (107 missing data) and 3684 were included in the maternal mortality
analysis (108 missing data). These hospitals had a combined number of specialist surgeons, obstetricians, and
anaesthetists totalling 0·7 per 100000 population (IQR 0·2–2·0). Maternal mortality was 20 (0·5%) of 3684 patients
(95% CI 0·3–0·8). Complications occurred in 633 (17·4%) of 3636 mothers (16·2–18·6), which were predominantly
severe intraoperative and postoperative bleeding (136 [3·8%] of 3612 mothers). Maternal mortality was independently
associated with a preoperative presentation of placenta praevia, placental abruption, ruptured uterus, antepartum
haemorrhage (odds ratio 4·47 [95% CI 1·46–13·65]), and perioperative severe obstetric haemorrhage (5·87 [1·99–17·34])
or anaesthesia complications (11·47 (1·20–109·20]). Neonatal mortality was 153 (4·4%) of 3506 infants (95% CI 3·7–5·0).
Interpretation: Maternal mortality after caesarean delivery in Africa is 50 times higher than that of high-income
countries and is driven by peripartum haemorrhage and anaesthesia complications. Neonatal mortality is double the
global average. Early identification and appropriate management of mothers at risk of peripartum haemorrhage
might improve maternal and neonatal outcomes in Africa.https://www.thelancet.com/journals/langlo/article/PIIS2214-109X(19)30036-1/fulltextPublisher’s versio
Maternal and neonatal outcomes after caesarean delivery in the African Surgical Outcomes Study: a 7-day prospective observational cohort study.
BACKGROUND: Maternal and neonatal mortality is high in Africa, but few large, prospective studies have been done to investigate the risk factors associated with these poor maternal and neonatal outcomes. METHODS: A 7-day, international, prospective, observational cohort study was done in patients having caesarean delivery in 183 hospitals across 22 countries in Africa. The inclusion criteria were all consecutive patients (aged ≥18 years) admitted to participating centres having elective and non-elective caesarean delivery during the 7-day study cohort period. To ensure a representative sample, each hospital had to provide data for 90% of the eligible patients during the recruitment week. The primary outcome was in-hospital maternal mortality and complications, which were assessed by local investigators. The study was registered on the South African National Health Research Database, number KZ_2015RP7_22, and on ClinicalTrials.gov, number NCT03044899. FINDINGS: Between February, 2016, and May, 2016, 3792 patients were recruited from hospitals across Africa. 3685 were included in the postoperative complications analysis (107 missing data) and 3684 were included in the maternal mortality analysis (108 missing data). These hospitals had a combined number of specialist surgeons, obstetricians, and anaesthetists totalling 0·7 per 100 000 population (IQR 0·2-2·0). Maternal mortality was 20 (0·5%) of 3684 patients (95% CI 0·3-0·8). Complications occurred in 633 (17·4%) of 3636 mothers (16·2-18·6), which were predominantly severe intraoperative and postoperative bleeding (136 [3·8%] of 3612 mothers). Maternal mortality was independently associated with a preoperative presentation of placenta praevia, placental abruption, ruptured uterus, antepartum haemorrhage (odds ratio 4·47 [95% CI 1·46-13·65]), and perioperative severe obstetric haemorrhage (5·87 [1·99-17·34]) or anaesthesia complications (11·47 (1·20-109·20]). Neonatal mortality was 153 (4·4%) of 3506 infants (95% CI 3·7-5·0). INTERPRETATION: Maternal mortality after caesarean delivery in Africa is 50 times higher than that of high-income countries and is driven by peripartum haemorrhage and anaesthesia complications. Neonatal mortality is double the global average. Early identification and appropriate management of mothers at risk of peripartum haemorrhage might improve maternal and neonatal outcomes in Africa. FUNDING: Medical Research Council of South Africa.Medical Research Council of South Africa
The ASOS Surgical Risk Calculator: development and validation of a tool for identifying African surgical patients at risk of severe postoperative complications
Background:
The African Surgical Outcomes Study (ASOS) showed that surgical patients in Africa have a mortality twice the global average. Existing risk assessment tools are not valid for use in this population because the pattern of risk for poor outcomes differs from high-income countries. The objective of this study was to derive and validate a simple, preoperative risk stratification tool to identify African surgical patients at risk for in-hospital postoperative mortality and severe complications.
Methods:
ASOS was a 7-day prospective cohort study of adult patients undergoing surgery in Africa. The ASOS Surgical Risk Calculator was constructed with a multivariable logistic regression model for the outcome of in-hospital mortality and severe postoperative complications. The following preoperative risk factors were entered into the model; age, sex, smoking status, ASA physical status, preoperative chronic comorbid conditions, indication for surgery, urgency, severity, and type of surgery.
Results:
The model was derived from 8799 patients from 168 African hospitals. The composite outcome of severe postoperative complications and death occurred in 423/8799 (4.8%) patients. The ASOS Surgical Risk Calculator includes the following risk factors: age, ASA physical status, indication for surgery, urgency, severity, and type of surgery. The model showed good discrimination with an area under the receiver operating characteristic curve of 0.805 and good calibration with c-statistic corrected for optimism of 0.784.
Conclusions:
This simple preoperative risk calculator could be used to identify high-risk surgical patients in African hospitals and facilitate increased postoperative surveillance.
© 2018 British Journal of Anaesthesia. Published by Elsevier Ltd. All rights reserved.Medical Research Council of South Africa gran