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Brooke A Spaeth,1 Billingsley Kaambwa,2 Mark DS Shephard,1 Rodney Omond3 1Flinders University International Centre for Point-of-Care Testing, Flinders University, Adelaide, SA, Australia; 2Health Economics Unit, College of Medicine and Public Health, Flinders University, Adelaide, SA, Australia; 3Primary Health Care Branch, Top End Health Service, Department of Health, Northern Territory Government, Darwin, NT, Australia Aim: To determine the cost-effectiveness of utilizing point-of-care testing (POCT) on the Abbott i-STAT device as a support tool to aid decisions regarding the emergency medical retrievals of patients at remote health centers in the Northern Territory (NT) of Australia.Methods: A decision analytic simulation model–based economic evaluation was conducted using data from patients presenting with three common acute conditions (chest pain, chronic renal failure due to missed dialysis session(s), and acute diarrhea) at six remote NT health centers from July to December 2015. The specific outcomes measured in this study were the number of unnecessary emergency medical retrieval prevented through POCT. Cost savings through prevented unnecessary medical retrievals for each presentation type were then determined and extrapolated to give per annum NT-wide estimates.Results: POCT prevented 60 unnecessary medical evacuations from a total of 200 patient cases meeting the selection criteria (48/147 for chest pain, 10/28 for missed dialysis, and 2/25 for acute diarrhea). The associated cost savings were AUD $4,674, $8,034, and $786 per patient translating to NT-wide savings of AUD $13.72 million, $6.45 million, and $1.57 million per annum (AUD $21.75 million in total) for chest pain, missed dialysis, and acute diarrhea presentations, respectively.Conclusion: This study demonstrated that POCT when used to aid decision making for acutely ill patients delivered significant cost savings for the NT health care system by preventing unnecessary emergency medical retrievals. Keywords: acute, remote health, primary care, retrieval, acute care, myocardial infarction, dialysis, dehydration, indigenous health, pathology testing, medical retrieval, cost-effectiveness

Introduction: Decentralized molecular testing for infectious disease diagnosis at the point-of-care (POC) is critical to address inequities in access to timely, informed health care. The COVID-19 pandemic accelerated the demand, development and adoption of POC tests for infectious diseases globally. This has provided opportunities to maximize the individual benefits and public health impact of POC testing, particularly in remote and resource-limited primary care settings. Despite this, there remains a lack of harmonized, regulatory compliance and quality management frameworks for the delivery of molecular POC testing networks outside the laboratory setting., Areas Covered: This Perspective describes real-world lessons and experiences of delivering a fit-for-purpose, quality framework for one of the world's largest decentralized molecular POC testing programs for infectious disease across rural and remote Australian communities. Here we detail unique, key considerations to ensure the quality of POC testing in primary health settings with global application., Expert Opinion: There is an ethical and public health imperative to provide sustained access to decentralized POC testing for infectious disease in primary care. Genuine partnerships across stakeholders and disciplines are essential to deliver well governed, fit-for-purpose quality management POC testing frameworks and increase equitable access to timely, high-quality person-centered care.

Background: Molecular point-of-care (POC) testing for Chlamydia trachomatis (CT), Neisseria gonorrhoeae (NG), and Trichomonas vaginalis (TV) has been available in regional and remote primary health services in Australia as part of a decentralized POC testing program since 2016 and for SARS-CoV-2 from 2020. As there was no suitable existing connectivity infrastructure to capture and deliver POC test results to a range of end users, a new system needed to be established., Objective: The aim of the study is to design, implement, and optimize a connectivity system to meet clinical management, analytical quality management, and public health surveillance needs., Methods: We used commercially available e-messaging technology coupled with adapted proprietary software to integrate a decentralized molecular POC testing platform (GeneXpert) in primary health services and interface with end-user databases. This connectivity infrastructure was designed to overcome key barriers to the implementation, integration, and monitoring of these large multijurisdictional infectious disease POC testing networks. Test result messages were tailored to meet end-user needs. Using centrally captured deidentified data, we evaluated the time to receipt of test results and completeness of accompanying demographic data., Results: From January 2016 to April 2020, we operationalized the system at 31 health services across 4 jurisdictions and integrated with 5 different patient management systems to support the real-time delivery of 29,356 CT/NG and TV test results to designated recipients (patient management system and local clinical and central program databases). In 2019, 12,105 CT/NG and TV results were delivered, and the median time to receipt of results was 3.2 (IQR 2.2-4.6) hours, inclusive of test runtime. From May 2020 to August 2022, we optimized the system to support rapid scale-up of SARS-CoV-2 testing (105 services; 6 jurisdictions; 71,823 tests) and additional sexually transmissible infection testing (16,232 tests), including the electronic disease-specific notifications to jurisdictional health departments and alerts for connectivity disruption and positive results. In 2022, 19,355 results were delivered with an overall median transmission time of 2.3 (IQR 1.4-3.1) hours, 2.2 (IQR 1.2-2.3) hours for SARS-CoV-2 (n=16,066), 3.0 (IQR 2.0-4.0) hours for CT/NG (n=1843), and 2.6 (IQR 1.5-3.8) hours for TV (n=1446). Demographic data (age, sex, and ethnicity) were completed for 99.5% of test results in 2022., Conclusions: This innovative connectivity system designed to meet end-user needs has proven to be sustainable, flexible, and scalable. It represents the first such system in Australia established independent of traditional pathology providers to support POC testing in geographically dispersed remote primary health services. The system has been optimized to deliver real-time test results and has proven critical for clinical, public health, and quality management. The system has significantly supported equitable access to rapid diagnostics for infectious diseases across Australia, and its design is suitable for onboarding other POC tests and testing platforms in the future., (©Amit Saha, Kelly Andrewartha, Steven G Badman, Annie Tangey, Kirsty S Smith, Sergio Sandler, Stuart Ramsay, Wilton Braund, Stuart Manoj-Margison, Susan Matthews, Mark D S Shephard, Rebecca Guy, Louise Causer. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 01.09.2023.)

Context.—: Since 2008, the Northern Territory Point-of-Care Testing Program has improved patient access to pathology testing for acute and chronic disease management for remote health services., Objective.—: To evaluate the analytical quality, service delivery, and clinical utility of an expanding remote point-of-care testing network., Design.—: Four years (2016-2019) of data on analytical quality, test numbers, and training statistics and 6 months of clinical point-of-care testing data from Abbott i-STATs at remote health services throughout the Northern Territory were analyzed to assess analytical performance, program growth, and clinical utility., Results.—: From 2016 to 2019, point-of-care test numbers increased, with chemistry and blood gas testing more than doubling to 8500 and 6000 tests, respectively, troponin I testing almost doubling (to 6000), and international normalized ratio testing plateauing at 8000 tests. Participation in quality control and proficiency testing was high, with quality comparable to laboratory-based analytical goals. A shift toward flexible training and communication modes was noted. An audit of point-of-care test results demonstrated elevated creatinine, associated with chronic kidney disease management, as the most common clinically actionable patient result., Conclusions.—: The Northern Territory Point-of-Care Testing Program provides high quality point-of-care testing within remote primary health services for acute and chronic patient management and care. Clinical need, sound analytical performance, flexibility in training provision, and effective support services have facilitated the sustainability of this expanding point-of-care testing model in the remote Northern Territory during the past 11 years., (© 2020 College of American Pathologists.)

Introduction: Diabetes is a major health problem in South Africa. DiabCare Africa found just 47% of diabetes patients had a hemoglobin A1c (HbA1c) test for their management in the previous year., Methods: Patients attending an urban diabetes clinic near Johannesburg, run by Project HOPE, accessed HbA1c (and urine albumin:creatinine ratio) point-of-care testing (POCT) as part of a quality-assured international program called ACE (Analytical and Clinical Excellence). Patients who had two or more HbA1c POC tests from 2012 to 2014 were assessed to determine their change in glycaemic control., Results: The mean (±SD) HbA1c in this group of diabetes patients (n=131) fell significantly from 9.7%±2.4 (83mmol/mol) at their first POCT measurement to 8.4%±2.4 (68mmol/mmol/mol) at their most recent POCT measurement (paired t-test p<0.01). The average time between first and most recent HbA1c test was 15 months. The number of diabetes patients achieving optimal glycaemic control (HbA1c≤6.5-7.5% [48-58mmol/mol) increased by 125%, while the number with very poor glycaemic control (HbA1c>10% [86mmol/mol]) halved. An association was observed between degree of glycaemic control and increasing albuminuria in this cohort., Discussion: POCT has promoted change in clinical practice by facilitating greater accessibility to HbA1c testing., (Copyright © 2017 Primary Care Diabetes Europe. All rights reserved.)