scholarly journals Impact of fee subsidy policy on perinatal health in a low-resource setting: A quasi-experimental study

PLoS ONE ◽  
2018 ◽  
Vol 13 (11) ◽  
pp. e0206978 ◽  
Author(s):  
Ivlabèhiré Bertrand Meda ◽  
Alexandre Dumont ◽  
Seni Kouanda ◽  
Valéry Ridde
Keyword(s):  
Experimental Study ◽  
Perinatal Health ◽  
Subsidy Policy ◽  
Low Resource ◽  
Resource Setting ◽  
Low Resource Setting ◽  
Quasi Experimental

Effect of health education on awareness and practices of breast self-examination among females attending a charitable hospital at North Karachi

2021 ◽  
Vol 71 (9) ◽  
Author(s):  
Zohra Jabeen ◽  
Nighat Shah ◽  
Zaeema Ahmer ◽  
Sulhera Khan ◽  
Amir Hussain Khan ◽  
...  
Keyword(s):  
Health Education ◽  
Intervention Group ◽  
Positive Association ◽  
Control Group ◽  
Low Resource ◽  
Resource Setting ◽  
Low Resource Setting ◽  
Study Results ◽  
Quasi Experimental ◽  
And Performance

Abstract Objective: The objective of this study was to compare the effectiveness of health education as an intervention to promote BSE among intervention and non-intervention group presenting in a low resource setting at North Karachi Methodology: This Quasi-experimental study was conducted from January-August 2018 in a charitable hospital in Karachi after taking ethical approval by the Institutional Review Board of Jinnah Sindh Medical University and relevant approvals from the hospital authorities. This study recruited 172 eligible women by dividing them into intervention (n=86) and control (n=86) groups from a low resource setting in Karachi. Demographic variables were collected through pretested questionnaire by interview. Intervention group then received health education regarding carcinoma of breast, importance of BSE and monthly motivation to perform BSE through cell phone. The questionnaire was again filled after 6 months of intervention. Control group was also given health education sessions upon completion of study. Results: Results revealed that both groups were similar initially. After 6 months females in intervention group showed significant (p=<0.001) improvement in knowledge and performance of BSE from 44.2% to 88.4% but there was no change in control group. Being in intervention group (RR=2.714, 95% CI= 1.760 - 4.186, p=0.001) and education (RR=0.573, 95% CI= 0.361 - 0.910, p=0.018) showed positive association with BSE performance. Upon adjusting with age, marital status, family history and education, intervention group (RR=2.570, 95% CI= 1.654 - 3.992, p= 0.001) remained significant while education (RR=1.466, 95% CI =0.910 - 2.363, p=0.116) became insignificant. Continuous...

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.

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