scholarly journals Policy environment impacting the societal harm caused by alcohol in India: protocol for a scoping review

BMJ Open ◽  
2018 ◽  
Vol 8 (12) ◽  
pp. e020854 ◽  
Author(s):  
Jaclyn Schess ◽  
Abhijeet Jambhale ◽  
Urvita Bhatia ◽  
Richard Velleman ◽  
Abhijit Nadkarni
Keyword(s):  
Scoping Review ◽  
Grey Literature ◽  
Alcohol Policy ◽  
Final Report ◽  
Policy Environment ◽  
Indian Government ◽  
Low Resource ◽  
Resource Setting ◽  
Low Resource Setting ◽  
Government Websites

IntroductionThe aim of this review is to provide the first consolidation of the policy environment surrounding alcohol-related societal harm in India giving researchers and policy-makers a clearer base for future reforms. This review is also an important adaptation on the scoping review method for policy reviews in low-resource settings that may serve as an example for other policy reviews in similar settings.Methods and analysisWe will undertake a scoping review with policy relevant adaptations in order to map the alcohol-related policy environment in India. Following the six-step approach put forward by ArskeyandO’Malley and refined by Levac, we will first undertake an academic scoping search to identify relevant knowledge already existing in the literature about the policy environment in India. We will then use the knowledge that appears in this search iteratively, as is true to the scoping method, to develop a more targeted search of grey literature and Indian government websites for Indian policy documents. These documents will be analysed using qualitative methods to synthesise the current alcohol policy environment in India.Ethics and disseminationThis study will only use already published information and therefore does not require an ethics review. We will circulate this protocol and the final report to policy researchers in similar settings who could make use of our adaptation of the scoping review method for a low-resource setting. We will also publish our findings in a peer-review journal.

scholarly journals Unravelling ‘low-resource settings’: a systematic scoping review with qualitative content analysis

2021 ◽  
Vol 6 (6) ◽  
pp. e005190
Author(s):  
Chanel van Zyl ◽  
Marelise Badenhorst ◽  
Susan Hanekom ◽  
Martin Heine
Keyword(s):  
Content Analysis ◽  
Scoping Review ◽  
Qualitative Content Analysis ◽  
Middle Income ◽  
Low Resource Settings ◽  
Low Resource ◽  
Middle Income Countries ◽  
Resource Setting ◽  
Low Resource Setting ◽  
Low Middle Income Countries

IntroductionThe effects of healthcare-related inequalities are most evident in low-resource settings. Such settings are often not explicitly defined, and umbrella terms which are easier to operationalise, such as ‘low-to-middle-income countries’ or ‘developing countries’, are often used. Without a deeper understanding of context, such proxies are pregnant with assumptions, insinuate homogeneity that is unsupported and hamper knowledge translation between settings.MethodsA systematic scoping review was undertaken to start unravelling the term ‘low-resource setting’. PubMed, Africa-Wide, Web of Science and Scopus were searched (24 June 2019), dating back ≤5 years, using terms related to ‘low-resource setting’ and ‘rehabilitation’. Rehabilitation was chosen as a methodological vehicle due to its holistic nature (eg, multidisciplinary, relevance across burden of disease, and throughout continuum of care) and expertise within the research team. Qualitative content analysis through an inductive approach was used.ResultsA total of 410 codes were derived from 48 unique articles within the field of rehabilitation, grouped into 63 content categories, and identified nine major themes relating to the term ‘low-resource setting’. Themes that emerged relate to (1) financial pressure, (2) suboptimal healthcare service delivery, (3) underdeveloped infrastructure, (4) paucity of knowledge, (5) research challenges and considerations, (6) restricted social resources, (7) geographical and environmental factors, (8) human resource limitations and (9) the influence of beliefs and practices.ConclusionThe emerging themes may assist with (1) the groundwork needed to unravel ‘low-resource settings’ in health-related research, (2) moving away from assumptive umbrella terms like ‘low-to-middle-income countries’ or ‘low/middle-income countries’ and (3) promoting effective knowledge transfer between settings.

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