Operational Research during the Ebola Emergency.

Operational research aims to identify interventions, strategies, or tools that can enhance the quality, effectiveness, or coverage of programs where the research is taking place. Médecins Sans Frontières admitted ≈5,200 patients with confirmed Ebola virus disease during the Ebola outbreak in West Africa and from the beginning nested operational research within its emergency response. This research covered critical areas, such as understanding how the virus spreads, clinical trials, community perceptions, challenges within Ebola treatment centers, and negative effects on non-Ebola healthcare. Importantly, operational research questions were decided to a large extent by returning volunteers who had first-hand knowledge of the immediate issues facing teams in the field. Such a method is appropriate for an emergency medical organization. Many challenges were also identified while carrying out operational research across 3 different countries, including the basic need for collecting data in standardized format to enable comparison of findings among treatment centers.

The Contribution of Ebola Viral Load at Admission and Other Patient Characteristics to Mortality in a Médecins Sans Frontières Ebola Case Management Centre, Kailahun, Sierra Leone, June-October 2014.

This paper describes patient characteristics, including Ebola viral load, associated with mortality in a Médecins Sans Frontières Ebola case management centre (CMC).Out of 780 admissions between June and October 2014, 525 (67%) were positive for Ebola with a known outcome. The crude mortality rate was 51% (270/525). Ebola viral load (whole-blood sample) data were available on 76% (397/525) of patients. Univariate analysis indicated viral load at admission, age, symptom duration prior to admission, and distance traveled to the CMC were associated with mortality (P < .05). The multivariable model predicted mortality in those with a viral load at admission greater than 10 million copies per milliliter (P < .05, odds ratio >10), aged ≥ 50 years (P = .08, odds ratio = 2) and symptom duration prior to admission less than 5 days (P = .14). The presence of confusion, diarrhea, and conjunctivitis were significantly higher (P < .05) in Ebola patients who died.These findings highlight the importance viral load at admission has on mortality outcomes and could be used to cohort cases with viral loads greater than 10 million copies into dedicated wards with more intensive medical support to further reduce mortality.

Assessment of the MSF triage system, separating patients into different wards pending Ebola virus laboratory confirmation, Kailahun, Sierra Leone, July to September 2014.

Prevention of nosocomial Ebola virus (EBOV) infection among patients admitted to an Ebola management centre (EMC) is paramount. Current Médecins Sans Frontières (MSF) guidelines recommend classifying admitted patients at triage into suspect and highly-suspect categories pending laboratory confirmation. We investigated the performance of the MSF triage system to separate patients with subsequent EBOV-positive laboratory test (true-positive admissions) from patients who were initially admitted on clinical grounds but subsequently tested EBOV-negative (false-positive admissions). We calculated standard diagnostic test statistics for triage allocation into suspect or highly-suspect wards (index test) and subsequent positive or negative laboratory results (reference test) among 433 patients admitted into the MSF EMC Kailahun, Sierra Leone, between 1 July and 30 September 2014. 254 (59%) of admissions were classified as highly-suspect, the remaining 179 (41%) as suspect. 276 (64%) were true-positive admissions, leaving 157 (36.3%) false-positive admissions exposed to the risk of nosocomial EBOV infection. The positive predictive value for receiving a positive laboratory result after being allocated to the highly-suspect ward was 76%. The corresponding negative predictive value was 54%. Sensitivity and specificity were 70% and 61%, respectively. Results for accurate patient classification were unconvincing. The current triage system should be changed. Whenever possible, patients should be accommodated in single compartments pending laboratory confirmation. Furthermore, the initial triage step on whether or not to admit a patient in the first place must be improved. What is ultimately needed is a point-of-care EBOV diagnostic test that is reliable, accurate, robust, mobile, affordable, easy to use outside strict biosafety protocols, providing results with quick turnaround time.