Can point-of-care testing shorten hospitalization length of stay? An exploratory investigation of infectious agents using regression modelling

• Published in: Health informatics journal Vol. 25; no. 4; pp. 1606 - 1617
• Main Authors: Gkika, Eliona, Psaroulaki, Anna, Tselentis, Yannis, Angelakis, Emmanouil, Kouikoglou, Vassilis S
• Format: Journal Article
• Language: English
• Published: London, England SAGE Publications 01.12.2019; SAGE PUBLICATIONS, INC
• Subjects: Infectious diseases; Laboratories; Point of care testing; Regression analysis; point-of-care testing; hospital length of stay; regression modelling; early detection of disease; infectious diseases
• ISSN: 1460-4582; 1741-2811
• DOI: 10.1177/1460458218796612

This retrospective study investigates the potential benefits from the introduction of point-of-care tests for rapid diagnosis of infectious diseases. We analysed a sample of 441 hospitalized patients who had received a final diagnosis related to 18 pathogenic agents. These pathogens were mostly detected by standard tests but were also detectable by point-of-care testing. The length of hospital stay was partitioned into pre- and post-laboratory diagnosis stages. Regression analysis and elementary queueing theory were applied to estimate the impact of quick diagnosis on the mean length of stay and the utilization of healthcare resources. The analysis suggests that eliminating the pre-diagnosis times through point-of-care testing could shorten the mean length of hospital stay for infectious diseases by up to 34 per cent and result in an equal reduction in bed occupancy and other resources. Regression and other more sophisticated models can aid the financing decision-making of pilot point-of-care laboratories in healthcare systems.