Anne Melhuish1, Armando Vargas-Palacios2, Nahel Yaziji3, Joe Selfridge4, Mitalee Pisavadia4, Gurdeep S Sagoo3, Jane Minton4. 1. Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom. Electronic address: annemelhuish@nhs.net. 2. Academic Unit of Health Economics, University of Leeds, United Kingdom; Centro de Investigación en Ciencias de la Salud, FCS, Universidad Anáhuac México Campus Norte, México; National Institute for Health Research Leeds In Vitro Diagnostics Co-operative, Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom. 3. Academic Unit of Health Economics, University of Leeds, United Kingdom; National Institute for Health Research Leeds In Vitro Diagnostics Co-operative, Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom. 4. Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom.
Abstract
BACKGROUND: Rapid molecular point-of-care tests (POCTs) for influenza have potential to produce cost savings in emergency departments (EDs) and acute care settings. To date, published projected savings have been based on estimated costs. OBJECTIVES: This study aimed to describe the cost implications of a rapid influenza POCT using accurate real-world patient level costing data. 204 adult patients receiving point-of-care (POC) influenza testing in the ED as part of a routine clinical service were identified retrospectively, alongside a control cohort of 104 patients from the same influenza season. Costs for all were calculated at the individual patient level. Cost comparison was performed using an instrumental variable (IV) regression to overcome potential bias within the observational dataset. RESULTS: Patients who had a POCT on average cost 67 % less than those who did not (average cost reduction: £2066: 95 % CI: £624 and £2665). Moderate to high NEWS score at arrival, presence of ≥1 comorbidity, and age ≥70 years increased overall costs across both groups (p < 0.05). CONCLUSIONS: Savings from POC testing can be attributed to more targeted treatments, fewer admissions and reduced lengths of stay. The IV regression results are supported by a second method (ordinary least square against baseline characteristics). They are also in line with existing work that use estimated costs but indicate greater savings than predicted previously. In conclusion, POC influenza testing in the emergency department produces significant cost savings, this is demonstrated here through an analysis using individual real-world patient level costing data.
BACKGROUND: Rapid molecular point-of-care tests (POCTs) for influenza have potential to produce cost savings in emergency departments (EDs) and acute care settings. To date, published projected savings have been based on estimated costs. OBJECTIVES: This study aimed to describe the cost implications of a rapid influenza POCT using accurate real-world patient level costing data. 204 adult patients receiving point-of-care (POC) influenza testing in the ED as part of a routine clinical service were identified retrospectively, alongside a control cohort of 104 patients from the same influenza season. Costs for all were calculated at the individual patient level. Cost comparison was performed using an instrumental variable (IV) regression to overcome potential bias within the observational dataset. RESULTS:Patients who had a POCT on average cost 67 % less than those who did not (average cost reduction: £2066: 95 % CI: £624 and £2665). Moderate to high NEWS score at arrival, presence of ≥1 comorbidity, and age ≥70 years increased overall costs across both groups (p < 0.05). CONCLUSIONS: Savings from POC testing can be attributed to more targeted treatments, fewer admissions and reduced lengths of stay. The IV regression results are supported by a second method (ordinary least square against baseline characteristics). They are also in line with existing work that use estimated costs but indicate greater savings than predicted previously. In conclusion, POC influenza testing in the emergency department produces significant cost savings, this is demonstrated here through an analysis using individual real-world patient level costing data.
Authors: Josef Stolberg-Stolberg; Elena Jacob; Joachim Kuehn; Marc Hennies; Wali Hafezi; Moritz Freistuehler; Jeanette Koeppe; Alex W Friedrich; J Christoph Katthagen; Michael J Raschke Journal: Eur J Trauma Emerg Surg Date: 2022-09-06 Impact factor: 2.374
Authors: Fiona Yau; Rosalina Ferreira; Rima Kamali; Paul W Bird; Richard Halliwell; Hemu Patel; Daniela C Nicoara; Gerrit Woltmann; Julian W Tang Journal: Clin Infect Pract Date: 2021-07-23