scholarly journals Assessing usability of QIAreach QuantiFERON® platform in a high Tuberculosis prevalence low-resource setting

2021 ◽  
pp. 00511-2021
Author(s):  
Conceptor Kaaba ◽  
Maria Ruperez ◽  
Barry Kosloff ◽  
Nduku Ndunda ◽  
Kwame Shanaube ◽  
...  
Keyword(s):  
User Satisfaction ◽  
Test Sample ◽  
Ease Of Use ◽  
Low Resource ◽  
Resource Setting ◽  
Low Resource Setting ◽  
Task Time ◽  
Laboratory Workers ◽  
Set Up ◽  
Tuberculosis Prevalence

BackgroundWe aimed to assess the usability of QIAreach QuantiFERON® platform in a high Tuberculosis prevalence low-resource setting. Assay usability was assessed across 6 laboratories in Zambia.MethodsUsability of QIAreach QuantiFERON and training needs for assay implementation were assessed across three domains: effectiveness, efficiency, and user satisfaction. Nine laboratory workers participated in the study. For each task, metrics on success (pass, fail, pass with hints), total task time, and ease of use rating (five-point Likert scale) were collected.ResultsOverall tasks completion rate was from 89–100%. 1/9 participants, could not understand software instructions. Average time from set up to results ranged from 22 to 40 min. Users with experience performing the QFT-plus assay completed the test faster than users without experience, 26 min versus 35 min. Two participants had difficulty loading the sample on QIAreach eStick. Two participants could not adjust the pipette to the required volume of 150 µL. Two participants did not mix the test sample properly. One participant transferred the sample buffer twice and added insufficient plasma to the sample processing tube. Two participants added the test sample to eStick sample port many times. One participant added wrong information in the software. User satisfaction ranged from 2 to 5.ConclusionThe QIAreach QFT assay is suitable to be implemented in remote areas with limited infrastructure. Further studies are needed to establish assay's performances as well as the feasibility of introducing this new assay at larger scale to improve TB control in regions with limited infrastructure.

scholarly journals TP8.2.23 Surgical education in low resource settings

2021 ◽  
Vol 108 (Supplement_7) ◽  
Author(s):  
Jonathan Pye
Keyword(s):  
Surgical Education ◽  
Surgical Trainee ◽  
Good Opportunity ◽  
Low Resource Settings ◽  
Low Resource ◽  
Resource Setting ◽  
Low Resource Setting ◽  
Set Up ◽  
First Time ◽  
Good Vehicle

Abstract Aims To help build medical capacity in low resource settings. Methods I researched and worked with two organisations, Médecins Sans Frontières (MSF) and Mercy Ships. I worked with Mercy Ships in collaboration with ASGBI Results MSF is a humanitarian organisation. Although MSF works in low resource settings, it is not developmental and therefore education was not part of its brief. I completed 2x 2 month missions with MSF, in Central African Republic and Chad. Mercy Ships is a developmental organisation. I worked with Mercy Ships, in four countries, to help deliver a total of 10 skills courses and 5 Training the Trainers courses which had been set up in collaboration with ASGBI. The first time was with a UK surgical trainee under this scheme. French was the working language in each setting. Conclusions There is a real and pressing need for basic surgical education in most low resource settings. Teaching with Mercy Ships is a good vehicle for teaching essential surgical skills locally and training local trainers to continue the process. It is also a good opportunity for providing a supervised introduction to working in a low resource setting for those trainees who wish to become involved in humanitarian work.

Evaluation of a New Protocol of Insulin Dose Adjustment in a Low-Resource Setting

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 93-LB
Author(s):  
EDDY JEAN BAPTISTE ◽  
PHILIPPE LARCO ◽  
MARIE-NANCY CHARLES LARCO ◽  
JULIA E. VON OETTINGEN ◽  
EDDLYS DUBOIS ◽  
...  
Keyword(s):  
Dose Adjustment ◽  
Insulin Dose ◽  
Low Resource ◽  
Resource Setting ◽  
Low Resource Setting

scholarly journals Right paraduodenal hernia with extensive bowel gangrene treated with staged surgery: a Bogota bag followed by resection in a low-resource setting

2021 ◽  
Vol 14 (4) ◽  
pp. e239250
Author(s):  
Vijay Anand Ismavel ◽  
Moloti Kichu ◽  
David Paul Hechhula ◽  
Rebecca Yanadi
Keyword(s):  
Plastic Material ◽  
Successful Outcome ◽  
Paraduodenal Hernia ◽  
Transparent Plastic ◽  
Low Resource ◽  
Entire Small Bowel ◽  
Resource Setting ◽  
Low Resource Setting ◽  
Right Paraduodenal Hernia ◽  
Bowel Gangrene

We report a case of right paraduodenal hernia with strangulation of almost the entire small bowel at presentation. Since resection of all bowel of doubtful viability would have resulted in too little residual length to sustain life, a Bogota bag was fashioned using transparent plastic material from an urine drainage bag and the patient monitored intensively for 18 hours. At re-laparotomy, clear demarcation lines had formed with adequate length of viable bowel (100 cm) and resection with anastomosis was done with a good outcome on follow-up, 9 months after surgery. Our description of a rare cause of strangulated intestinal obstruction and a novel method of maximising length of viable bowel is reported for its successful outcome in a low-resource setting.

scholarly journals Humanitarian Surgical Missions in Times of COVID-19: Recommendations to Safely Return to a Sub-Saharan Africa Low-Resource Setting

2021 ◽  
Author(s):  
Víctor Lopez-Lopez ◽  
Ana Morales ◽  
Elisa García-Vazquez ◽  
Miguel González ◽  
Quiteria Hernandez ◽  
...  
Keyword(s):  
Sub Saharan Africa ◽  
Low Resource ◽  
Resource Setting ◽  
Low Resource Setting ◽  
Sub Saharan

scholarly journals Vulvar cancer: surgical management and survival trends in a low resource setting

2020 ◽  
Vol 32 (1) ◽  
Author(s):  
Navin Kumar ◽  
Mukur Dipi Ray ◽  
D. N. Sharma ◽  
Rambha Pandey ◽  
Kanak Lata ◽  
...  
Keyword(s):  
Surgical Management ◽  
Vulvar Cancer ◽  
Low Resource ◽  
Resource Setting ◽  
Low Resource Setting

Multi-level Chunk-based Constituent-to-Dependency Treebank Transformation for Tibetan Dependency Parsing

2021 ◽  
Vol 20 (2) ◽  
pp. 1-12
Author(s):  
Shumin Shi ◽  
Dan Luo ◽  
Xing Wu ◽  
Congjun Long ◽  
Heyan Huang
Keyword(s):  
Language Processing ◽  
Manual Annotation ◽  
Syntactic Parsing ◽  
Dependency Parsing ◽  
Low Resource ◽  
Resource Setting ◽  
Dependency Tree ◽  
Low Resource Setting ◽  
Novel Method ◽  
Multi Level

Dependency parsing is an important task for Natural Language Processing (NLP). However, a mature parser requires a large treebank for training, which is still extremely costly to create. Tibetan is a kind of extremely low-resource language for NLP, there is no available Tibetan dependency treebank, which is currently obtained by manual annotation. Furthermore, there are few related kinds of research on the construction of treebank. We propose a novel method of multi-level chunk-based syntactic parsing to complete constituent-to-dependency treebank conversion for Tibetan under scarce conditions. Our method mines more dependencies of Tibetan sentences, builds a high-quality Tibetan dependency tree corpus, and makes fuller use of the inherent laws of the language itself. We train the dependency parsing models on the dependency treebank obtained by the preliminary transformation. The model achieves 86.5% accuracy, 96% LAS, and 97.85% UAS, which exceeds the optimal results of existing conversion methods. The experimental results show that our method has the potential to use a low-resource setting, which means we not only solve the problem of scarce Tibetan dependency treebank but also avoid needless manual annotation. The method embodies the regularity of strong knowledge-guided linguistic analysis methods, which is of great significance to promote the research of Tibetan information processing.

Sign in / Sign up

Export Citation Format

Share Document