ReviewDiagnostics (Basel, Switzerland)2020
Bringing Data Analytics to the Design of Optimized Diagnostic Networks in Low- and Middle-Income Countries: Process, Terms and Definitions.
Review in Diagnostics (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
15 citing papers in PubMed.
- The future of diagnostics in Africa.Nature medicine · 2026Review
- Cost and impact of decentralized tuberculosis testing: a modeling analysis of price thresholds for molecular instruments in high-burden settings.EClinicalMedicine · 2026Article
- Article
- Beyond diagnostic connectivity: Leveraging digital health technology for the real-time collection and provision of high-quality actionable data on infectious diseases in Uganda.PLOS digital health · 2024Article
- A Generalizable Decision-Making Framework for Selecting Onsite versus Send-out Clinical Laboratory Testing.Medical decision making : an international journal of the Society for Medical Decision Making · 2024Article
- Strengthening health systems through essential diagnostic lists and diagnostic network optimization.PLOS global public health · 2023Article
- Progress in scale up of HIV viral load testing in select sub-Saharan African countries 2016-2018.PloS one · 2023Article
- The integration of tuberculosis and HIV testing on GeneXpert can substantially improve access and same-day diagnosis and benefit tuberculosis programmes: A diagnostic network optimization analysis in Zambia.PLOS global public health · 2023Article
- Article
- Application of diagnostic network optimization in Kenya and Nepal to design integrated, sustainable and efficient bacteriology and antimicrobial resistance surveillance networks.PLOS global public health · 2023Article
- Contribution of PEPFAR-Supported HIV and TB Molecular Diagnostic Networks to COVID-19 Testing Preparedness in 16 Countries.Emerging infectious diseases · 2022Review
- Rational design of an essential diagnostics network to support Universal Health Coverage: a modeling analysis.BMC health services research · 2022Article
- Use of Physical Accessibility Modelling in Diagnostic Network Optimization: A Review.Diagnostics (Basel, Switzerland) · 2022Review
- Implementing essential diagnostics-learning from essential medicines: A scoping review.PLOS global public health · 2022Article
- Optimising courier specimen collection time improves patient access to HIV viral load testing in South Africa.African journal of laboratory medicine · 2022Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
Diagnostics services are an essential component of healthcare systems, advancing universal health coverage and ensuring global health security, but are often unavailable or under-resourced in low- and middle-income (LMIC) countries. Typically, diagnostics are delivered at various tiers of the laboratory network based on population needs, and resource and infrastructure constraints. A diagnostic network additionally incorporates screening and includes point-of-care testing that may occur outside of a laboratory in the community and clinic settings; it also emphasizes the importance of supportive network elements, including specimen referral systems, as being critical for the functioning of the diagnostic network. To date, design and planning of diagnostic networks in LMICs has largely been driven by infectious diseases such as TB and HIV, relying on manual methods and expert consensus, with a limited application of data analytics. Recently, there have been efforts to improve diagnostic network planning, including diagnostic network optimization (DNO). The DNO process involves the collection, mapping, and spatial analysis of baseline data; selection and development of scenarios to model and optimize; and lastly, implementing changes and measuring impact. This review outlines the goals of DNO and steps in the process, and provides clarity on commonly used terms.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.