Analytical performance specifications and quality assurance of point-of-care testing in primary healthcare

Stavelin, Anne; Sandberg, Sverre

doi:10.1080/10408363.2023.2262029

Cited by 8 publications

(1 citation statement)

References 46 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Staff training and competency enhance POCT performance [ 78 – 81 ]. Stavelin and Sandberg [ 82 ] recently addressed analytical performance specifications for POCT and concluded that in primary healthcare they can differ from those in the clinical laboratory because of intended uses, response times, and geographic factors, but emphasized the need for wise instrument selection, user training, and quality assurance for optimal care. Public health organizations implementing POCT strategies should carefully review and follow these guidelines and recommendations to ensure that the accuracy of POCT is not compromised [ 77 , 82 , 83 ].…”

Section: Discussionmentioning

confidence: 99%

Using geographic rescue time contours, point-of-care strategies, and spatial care paths to prepare island communities for global warming, rising oceans, and weather disasters

Kost,

Füzéry,

Caratao

et al. 2023

Int J Health Geogr

View full text Add to dashboard Cite

Objectives To perform geographic contour analysis of sea and land ambulance rescue times in an archipelago subject to super typhoons; to design point-of-care testing strategies for medical emergencies and weather disasters made more intense by global warming and rising oceans; and to assess needs for prehospital testing on spatial care paths that accelerate decision making, increase efficiency, improve outcomes, and enhance standards of care in island nations. Methods We performed needs assessments, inspected healthcare facilities, and collected ambulance rescue times from professionals in the Bantayan Archipelago, Philippines. We mapped sea/land ambulance rescue routes and time contours. To reveal gaps, we statistically compared the fastest and slowest patient rescue times from islands/islets and barangays to the District Hospital on Bantayan Island. We developed spatial care paths (the fastest routes to care) for acute myocardial infarction, community care, and infectious diseases. We generated a compendium of prehospital diagnostic testing and integrated outcomes evidence, diagnostic needs, and public health goals to recommend point-of-care strategies that build geographic health resilience. Results We observed limited access to COVID-19 assays, absence of blood gas/pH testing for critical care support, and spatial gaps in land and airborne rescues that worsened during inclement weather and sea swells. Mean paired differences (slowest-fastest) in ambulance rescue times to the District Hospital for both islands and barangays were significant (P < 0.0001). Spatial care path analysis showed where point-of-care cardiac troponin testing should be implemented for expedited care of acute myocardial infarction. Geospatial strengths comprised distributed primary care that can be facilitated by point-of-care testing, logical interisland transfers for which decision making and triage could be accelerated with onboard diagnostics, and healthcare networks amenable to medical advances in prehospital testing that accelerate treatment. Conclusions Point-of-care testing should be positioned upstream close to homes and island populations that have prolonged rescue time contours. Geospatially optimized point-of-need diagnostics and distributed prehospital testing have high potential to improve outcomes. These improvements will potentially decrease disparities in mortality among archipelago versus urban dwellers, help improve island public health, and enhance resilience for increasingly adverse and frequent climate change weather disasters that impact vulnerable coastal areas. [350 words].

show abstract

Section: Discussionmentioning

confidence: 99%

Using geographic rescue time contours, point-of-care strategies, and spatial care paths to prepare island communities for global warming, rising oceans, and weather disasters

Kost,

Füzéry,

Caratao

et al. 2023

Int J Health Geogr

View full text Add to dashboard Cite

show abstract

Paving the way for quality assured, decentralised point-of-care testing for infectious disease in primary care - Real world lessons from remote Australia

Applegate,

Causer,

Gow

et al. 2024

Expert Review of Molecular Diagnostics

View full text Add to dashboard Cite

Outcome-based analytical performance specifications: current status and future challenges

Horvath,

Bell,

Ceriotti

et al. 2024

Clinical Chemistry and Laboratory Medicine (CCLM)

View full text Add to dashboard Cite

Analytical performance specifications (APS) based on outcomes refer to how ‘good’ the analytical performance of a test needs to be to do more good than harm to the patient. Analytical performance of a measurand affects its clinical performance. Without first setting clinical performance requirements, it is difficult to define how good analytically the test needs to be to meet medical needs. As testing is indirectly linked to health outcomes through clinical decisions on patient management, often simulation-based studies are used to assess the impact of analytical performance on the probability of clinical outcomes which is then translated to Model 1b APS according to the Milan consensus. This paper discusses the related key definitions, concepts and considerations that should assist in finding the most appropriate methods for deriving Model 1b APS. We review the advantages and limitations of published methods and discuss the criteria for transferability of Model 1b APS to different settings. We consider that the definition of the clinically acceptable misclassification rate is central to Model 1b APS. We provide some examples and guidance on a more systematic approach for first defining the clinical performance requirements for tests and we also highlight a few ideas to tackle the future challenges associated with providing outcome-based APS for laboratory testing.

show abstract

Analytical performance specifications and quality assurance of point-of-care testing in primary healthcare

Cited by 8 publications

References 46 publications

Using geographic rescue time contours, point-of-care strategies, and spatial care paths to prepare island communities for global warming, rising oceans, and weather disasters

Using geographic rescue time contours, point-of-care strategies, and spatial care paths to prepare island communities for global warming, rising oceans, and weather disasters

Paving the way for quality assured, decentralised point-of-care testing for infectious disease in primary care - Real world lessons from remote Australia

Outcome-based analytical performance specifications: current status and future challenges

Contact Info

Product

Resources

About