A refined approach to the diagnosis of Burkitt lymphoma in a resource‐poor setting

2021 ◽  
Author(s):  
Kikkeri N Naresh ◽  
Stefano Lazzi ◽  
Raffaella Santi ◽  
Massimo Granai ◽  
Noel Onyango ◽  
...  
Keyword(s):  
Burkitt Lymphoma ◽  
Resource Poor Setting ◽  
Resource Poor

Screening for Diabetes Mellitus and Gestational Diabetes in a Resource-Poor Setting—Implementing a Selective Protocol

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 2371-PUB
Author(s):  
KEVIN A. CABRERA ◽  
ARIF PENDI ◽  
NASSIM LASHKARI ◽  
ERIC EL-TOBGY ◽  
BEN B. LABROT
Keyword(s):  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Resource Poor Setting ◽  
Resource Poor

Developing a sustainable Digital Health Innovation Ecosystem in a rural and resource-poor region: A monitored networking approach (Preprint)

2020 ◽  
Author(s):  
Arunangsu Chatterjee ◽  
Sebastian Stevens ◽  
Sheena Asthana ◽  
Ray B Jones
Keyword(s):  
Social Network ◽  
Network Analysis ◽  
Data Collection ◽  
Digital Health ◽  
Resource Poor Setting ◽  
Quadruple Helix ◽  
Innovation Ecosystem ◽  
Resource Poor ◽  
Quadruple Helix Model ◽  
Over Time

BACKGROUND Digital health (DH) innovation ecosystems (IE) are key to the development of new e-health products and services. Within an IE, third parties can help promote innovation by acting as knowledge brokers and the conduits for developing inter-organisational and interpersonal relations, particularly for smaller organisations. Kolehmainen’s quadruple helix model suggests who the critical IE actors are, and their roles. Within an affluent and largely urban setting, such ecosystems evolve and thrive organically with minimal intervention due to favourable economic and geographical conditions. Facilitating and sustaining a thriving DH IE within a resource-poor setting can be far more challenging even though far more important for such peripheral economics and the health and well-being of those communities. OBJECTIVE Taking a rural and remote region in the UK, as an instance of an IE in a peripheral economy, we adapt the quadruple helix model of innovation, apply a monitored social networking approach using McKinsey’s Three Horizons of growth to explore: • What patterns of connectivity between stakeholders develop within an emerging digital health IE? • How do networks develop over time in the DH IE? • In what ways could such networks be nurtured in order to build the capacity, capability and sustainability of the DH IE? METHODS Using an exploratory single case study design for a developing digital health IE, this study adopts a longitudinal social network analysis approach, enabling the authors to observe the development of the innovation ecosystem over time and evaluate the impact of targeted networking interventions on connectivity between stakeholders. Data collection was by an online survey and by a novel method, connection cards. RESULTS Self-reported connections between IE organisations increased between the two waves of data collection, with Small and Medium-sized Enterprises (SMEs) and academic institutions the most connected stakeholder groups. Patients involvement improved over time but still remains rather peripheral to the DH IE network. Connection cards as a monitoring tool worked really well during large events but required significant administrative overheads. Monitored networking information categorised using McKinsey’s Three Horizons proved to be an effective way to organise networking interventions ensuring sustained engagement. CONCLUSIONS The study reinforces the difficulty of developing and sustaining a DH IE in a resource-poor setting. It demonstrates the effective monitored networking approach supported by Social Network Analysis allows to map the networks and provide valuable information to plan future networking interventions (e.g. involving patients or service users). McKinsey’s Three Horizons of growth-based categorisation of the networking assets help ensure continued engagement in the DH IE contributing towards its long-term sustainability. Collecting ongoing data using survey or connection card method will become more labour intensive and ubiquitous ethically driven data collection methods can be used in future to make the process more agile and responsive.

Strategies for diagnosis of bacterial vaginosis in a resource-poor setting

2005 ◽  
Vol 16 (1) ◽  
pp. 52-55 ◽  
Author(s):  
S F Posner ◽  
J Kerimova ◽  
F Aliyeva ◽  
A Duerr
Keyword(s):  
Bacterial Vaginosis ◽  
Resource Poor Setting ◽  
Resource Poor

scholarly journals Design and Implementation of a Hospital-based Trauma Surveillance Registry in a Resource-Poor Setting: A Cost Analysis Study

Injury ◽  
2020 ◽  
Vol 51 (7) ◽  
pp. 1548-1553
Author(s):  
Laura N. Purcell ◽  
Emily Nip ◽  
Jared Gallaher ◽  
Carlos Varela ◽  
Yotamu Gondwe ◽  
...  
Keyword(s):  
Cost Analysis ◽  
Resource Poor Setting ◽  
Analysis Study ◽  
Design And Implementation ◽  
Resource Poor

scholarly journals Do adjunct tuberculosis tests, when combined with Xpert MTB/RIF, improve accuracy and the cost of diagnosis in a resource-poor setting?

2011 ◽  
Vol 40 (1) ◽  
pp. 161-168 ◽  
Author(s):  
Grant Theron ◽  
Anil Pooran ◽  
Jonny Peter ◽  
Richard van Zyl-Smit ◽  
Hridesh Kumar Mishra ◽  
...  
Keyword(s):  
Resource Poor Setting ◽  
Resource Poor ◽  
Improve Accuracy ◽  
The Cost

scholarly journals Antenatal HIV-1 RNA load and timing of mother to child transmission; a nested case-control study in a resource poor setting

2010 ◽  
Vol 7 (1) ◽  
Author(s):  
Kerina Duri ◽  
Felicity Z Gumbo ◽  
Knut I Kristiansen ◽  
Nyaradzi E Kurewa ◽  
Munyaradzi P Mapingure ◽  
...  
Keyword(s):  
Case Control Study ◽  
Case Control ◽  
Resource Poor Setting ◽  
Mother To Child Transmission ◽  
Child Transmission ◽  
Resource Poor ◽  
Nested Case Control ◽  
Mother To Child ◽  
Hiv 1 ◽  
Control Study
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