Journal Article > ResearchFull Text
Public Health Action. 2019 September 1; Volume 9 (Issue 3); 107-112.; DOI:10.5588/pha.18.0045
Gil Cuesta J, Trelles M, Naseer A, Momin A, Ngabo Mulamira L, et al.
Public Health Action. 2019 September 1; Volume 9 (Issue 3); 107-112.; DOI:10.5588/pha.18.0045
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INTRODUCTION
Conflicts frequently occur in countries with high maternal and neonatal mortality and can aggravate difficulties accessing emergency care. No literature is available on whether the presence of conflict influences the outcomes of mothers and neonates during Caesarean sections (C-sections) in high-mortality settings.
OBJECTIVE
To determine whether the presence of conflict was associated with changes in maternal and neonatal mortality during C-sections.
METHODS
We analysed routinely collected data on C-sections from 17 Médecins Sans Frontières (MSF) health facilities in 12 countries. Exposure variables included presence and intensity of conflict, type of health facility and other types of access to emergency care.
RESULTS
During 2008–2015, 30,921 C-sections were performed in MSF facilities; of which 55.4% were in areas of conflict. No differences were observed in maternal mortality in conflict settings (0.1%) vs. non-conflict settings (0.1%) (P = 0.08), nor in neonatal mortality between conflict (12.2%) and non-conflict settings (11.5%) (P = 0.1). Among the C-sections carried out in conflict settings, neonatal mortality was slightly higher in war zones compared to areas of minor conflict (P = 0.02); there was no difference in maternal mortality (P = 0.38).
CONCLUSIONS
Maternal and neonatal mortality did not appear to be affected by the presence of conflict in a large number of MSF facilities. This finding should encourage humanitarian organisations to support C-sections in conflict settings to ensure access to quality maternity care.
Conflicts frequently occur in countries with high maternal and neonatal mortality and can aggravate difficulties accessing emergency care. No literature is available on whether the presence of conflict influences the outcomes of mothers and neonates during Caesarean sections (C-sections) in high-mortality settings.
OBJECTIVE
To determine whether the presence of conflict was associated with changes in maternal and neonatal mortality during C-sections.
METHODS
We analysed routinely collected data on C-sections from 17 Médecins Sans Frontières (MSF) health facilities in 12 countries. Exposure variables included presence and intensity of conflict, type of health facility and other types of access to emergency care.
RESULTS
During 2008–2015, 30,921 C-sections were performed in MSF facilities; of which 55.4% were in areas of conflict. No differences were observed in maternal mortality in conflict settings (0.1%) vs. non-conflict settings (0.1%) (P = 0.08), nor in neonatal mortality between conflict (12.2%) and non-conflict settings (11.5%) (P = 0.1). Among the C-sections carried out in conflict settings, neonatal mortality was slightly higher in war zones compared to areas of minor conflict (P = 0.02); there was no difference in maternal mortality (P = 0.38).
CONCLUSIONS
Maternal and neonatal mortality did not appear to be affected by the presence of conflict in a large number of MSF facilities. This finding should encourage humanitarian organisations to support C-sections in conflict settings to ensure access to quality maternity care.
Journal Article > ResearchFull Text
J. Infect.. 2020 January 17; Volume 80 (Issue 3); DOI:10.1016/j.jinf.2019.11.023
Linton NM, Keita M, de Almeida MM, Cuesta JG, Guha-Sapir D, et al.
J. Infect.. 2020 January 17; Volume 80 (Issue 3); DOI:10.1016/j.jinf.2019.11.023
OBJECTIVE:
To estimate the time-dependent measles effective reproduction number (Rt) as an indicator of the impact of three outbreak response vaccination (ORV) campaigns on measles transmission during a nationwide outbreak in Guinea.
METHODS:
Rt represents the average number of secondary cases generated by a single primary case in a partially immune population during a given time period. Measles Rt was estimated using daily incidence data for 3,952 outbreak-associated measles cases in Guinea in 2017 for the time periods prior to, between, and following each of three ORV campaigns using a simple and extensible mathematical model.
RESULTS:
Rt was estimated to be above the threshold value of 1 during the initial growth period of the outbreak until the first ORV campaign began on March 13 (Rt =1.60, 95% CI: 1.55-1.67). It subsequently dropped below 1 and remained < 1 through the end of the year (range: 0.71-0.91), although low levels of transmission persisted.
CONCLUSIONS:
Reduction in Rt coincided with implementation of the ORV campaigns, indicating success of the campaigns at maintaining measles transmission intensity below epidemic growth levels. However, persistent measles transmission remains an issue in Guinea due to insufficient levels of herd immunity. Estimation of Rt should be further leveraged to help decision makers and field staff understand outbreak progress and the timing and type of vaccination efforts needed to halt transmission.
To estimate the time-dependent measles effective reproduction number (Rt) as an indicator of the impact of three outbreak response vaccination (ORV) campaigns on measles transmission during a nationwide outbreak in Guinea.
METHODS:
Rt represents the average number of secondary cases generated by a single primary case in a partially immune population during a given time period. Measles Rt was estimated using daily incidence data for 3,952 outbreak-associated measles cases in Guinea in 2017 for the time periods prior to, between, and following each of three ORV campaigns using a simple and extensible mathematical model.
RESULTS:
Rt was estimated to be above the threshold value of 1 during the initial growth period of the outbreak until the first ORV campaign began on March 13 (Rt =1.60, 95% CI: 1.55-1.67). It subsequently dropped below 1 and remained < 1 through the end of the year (range: 0.71-0.91), although low levels of transmission persisted.
CONCLUSIONS:
Reduction in Rt coincided with implementation of the ORV campaigns, indicating success of the campaigns at maintaining measles transmission intensity below epidemic growth levels. However, persistent measles transmission remains an issue in Guinea due to insufficient levels of herd immunity. Estimation of Rt should be further leveraged to help decision makers and field staff understand outbreak progress and the timing and type of vaccination efforts needed to halt transmission.
Journal Article > ResearchFull Text
PLOS One. 2019 March 5; Volume 14; DOI:10.1371/journal.pone.0213362
Guzman Isabel-Beltran, Cuesta JG, Trelles M, Jaweed O, Cheréstal S, et al.
PLOS One. 2019 March 5; Volume 14; DOI:10.1371/journal.pone.0213362
Introduction
Delays in arrival and treatment at health facilities lead to negative health outcomes. Individual and external factors could be associated with these delays. This study aimed to assess common factors associated with arrival and treatment delays in the emergency departments (ED) of three hospitals in humanitarian settings.
Methodology
This was a cross-sectional study based on routine data collected from three MSF-supported hospitals in Afghanistan, Haiti and Sierra Leone. We calculated the proportion of consultations with delay in arrival (>24 hours) and in treatment (based on target time according to triage categories). We used a multinomial logistic regression model (MLR) to analyse the association between age, sex, hospital and diagnosis (trauma and non-trauma) with these delays.
Results
We included 95,025 consultations. Males represented 65.2%, Delay in arrival was present in 27.8% of cases and delay in treatment in 27.2%. The MLR showed higher risk of delay in arrival for females (OR 1.2, 95% CI 1.2–1.3), children <5 (OR 1.4, 95% CI 1.4–1.5), patients attending to Gondama (OR 30.0, 95% CI 25.6–35.3) and non-trauma cases (OR 4.7, 95% CI 4.4–4.8). A higher risk of delay in treatment was observed for females (OR 1.1, 95% CI 1.0–1.1), children <5 (OR 2.0, 95% CI 1.9–2.1), patients attending to Martissant (OR 14.6, 95% CI 13.9–15.4) and non-trauma cases (OR 1.6, 95% CI 1.5–1.7).
Conclusions
Women, children <5 and non-trauma cases suffered most from delays. These delays could relate to educational and cultural barriers, and severity perception of the disease. Treatment delay could be due to insufficient resources with consequent overcrowding, and severity perception from medical staff for non-trauma patients. Extended community outreach, health promotion and support to community health workers could improve emergency care in humanitarian settings.
Delays in arrival and treatment at health facilities lead to negative health outcomes. Individual and external factors could be associated with these delays. This study aimed to assess common factors associated with arrival and treatment delays in the emergency departments (ED) of three hospitals in humanitarian settings.
Methodology
This was a cross-sectional study based on routine data collected from three MSF-supported hospitals in Afghanistan, Haiti and Sierra Leone. We calculated the proportion of consultations with delay in arrival (>24 hours) and in treatment (based on target time according to triage categories). We used a multinomial logistic regression model (MLR) to analyse the association between age, sex, hospital and diagnosis (trauma and non-trauma) with these delays.
Results
We included 95,025 consultations. Males represented 65.2%, Delay in arrival was present in 27.8% of cases and delay in treatment in 27.2%. The MLR showed higher risk of delay in arrival for females (OR 1.2, 95% CI 1.2–1.3), children <5 (OR 1.4, 95% CI 1.4–1.5), patients attending to Gondama (OR 30.0, 95% CI 25.6–35.3) and non-trauma cases (OR 4.7, 95% CI 4.4–4.8). A higher risk of delay in treatment was observed for females (OR 1.1, 95% CI 1.0–1.1), children <5 (OR 2.0, 95% CI 1.9–2.1), patients attending to Martissant (OR 14.6, 95% CI 13.9–15.4) and non-trauma cases (OR 1.6, 95% CI 1.5–1.7).
Conclusions
Women, children <5 and non-trauma cases suffered most from delays. These delays could relate to educational and cultural barriers, and severity perception of the disease. Treatment delay could be due to insufficient resources with consequent overcrowding, and severity perception from medical staff for non-trauma patients. Extended community outreach, health promotion and support to community health workers could improve emergency care in humanitarian settings.