Implementation and Scale Up of Point of Care (POC) Diagnostics in Resource-Limited Settings

Scale up and implementation of new point-of-care (POC) diagnostics is a global health priority to enable the adoption of new evidence-based POC diagnostics and to replicate and extend the reach of POC diagnostics. Global private and public sector agencies have significantly increased their investmen...

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Bibliographic Details
Other Authors: Mashamba-Thompson, Tivani (Editor), Drain, Paul K. (Editor)
Format: Electronic Book Chapter
Language:English
Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020
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DOAB: description of the publication
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245 1 0 |a Implementation and Scale Up of Point of Care (POC) Diagnostics in Resource-Limited Settings 
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520 |a Scale up and implementation of new point-of-care (POC) diagnostics is a global health priority to enable the adoption of new evidence-based POC diagnostics and to replicate and extend the reach of POC diagnostics. Global private and public sector agencies have significantly increased their investment in the development of POC diagnostics to meet the unmet needs of patients in resource-limited settings, particularly disease burdened settings with limited access to laboratory infrastructure. However, previous research has demonstrated that the availability of health technologies in these settings does not always guarantee patient-centered outcomes. The applicability, effectiveness and sustainability of diagnostic technologies is affected by the involvement of all stakeholders during planning and implementation, which must be relevant to each specific context and sensitive to local culture. Factors such as infrastructure, resources, values and characteristics of participants can influence the implementation, scalability and sustainability of health interventions such as POC diagnostics. This book, "Implementation and Scale up of Point of Care (POC) Diagnostics in Resource-Limited Settings", presents literature reviews and primary research studies focusing on the implementation and scale up of POC diagnostics in resource-limited settings. 
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653 |a point-of-care-ultrasound 
653 |a ultrasound 
653 |a implementation 
653 |a point of care ultrasound 
653 |a augmented reality 
653 |a telemedicine 
653 |a spatial accessibility 
653 |a blood group 
653 |a rhesus type 
653 |a point-of-care testing 
653 |a maternal healthcare 
653 |a Upper East Region 
653 |a Ghana 
653 |a point-of-care ultrasound 
653 |a medical education 
653 |a syphilis 
653 |a maternal mortality 
653 |a interrupted time series 
653 |a segmented regression analysis 
653 |a point-of-care CD4+ t testing 
653 |a qualitative survey 
653 |a acceptability 
653 |a patients 
653 |a healthcare providers 
653 |a primary healthcare clinics 
653 |a HIV self-testing 
653 |a scale-up 
653 |a key stakeholder 
653 |a quality HIV point-of-care-diagnostics 
653 |a nominal group technique 
653 |a stakeholder engagement 
653 |a self-testing 
653 |a novel coronavirus disease-19 
653 |a blockchain 
653 |a artificial intelligence 
653 |a geographical access 
653 |a glucose-6-phosphate dioxygenase deficiency 
653 |a antenatal care 
653 |a upper east region 
653 |a schistosomiasis 
653 |a barriers to diagnostics 
653 |a access to healthcare 
653 |a end-user perspectives 
653 |a neglected tropical diseases 
653 |a Nigeria 
653 |a case management 
653 |a electronic health information system 
653 |a diagnosis 
653 |a treatment 
653 |a point-of-care 
653 |a low and middle income countries 
653 |a point-of-care diagnostics 
653 |a healthcare services 
653 |a COVID-19 era 
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