scholarly journals PIN132 HEALTH-ECONOMIC MODELLING OF INFECTIOUS DISEASE DIAGNOSTICS: CURRENT APPROACHES AND FUTURE OPPORTUNITIES

2019 ◽  
Vol 22 ◽  
pp. S660
Author(s):  
S. Van der Pol ◽  
P. Rojas ◽  
C. Juárez ◽  
A.D.I. van Asselt ◽  
F. Antoñanzas ◽  
...  
2016 ◽  
Vol 11 (10) ◽  
pp. 2950-2959 ◽  
Author(s):  
Tommy S. de Windt ◽  
Juliette C. Sorel ◽  
Lucienne A. Vonk ◽  
Michelle M. A. Kip ◽  
Maarten J. Ijzerman ◽  
...  

Author(s):  
Andrew Partington ◽  
Jonathan Karnon

In a review recently published in this journal, Grutters et al outline the scope and impact of their early health economic modelling of healthcare innovations. Their reflections shed light on ways that health economists can shift-away from traditional reimbursement decision-support, towards a broader role of facilitating the exploration of existing care pathways, and the design of options to implement or discontinue healthcare services. This is a crucial role in organisations that face constant pressure to react and adapt with changes to their existing service configurations, but where there may exist significant disagreement and uncertainty on the extent to which change is warranted. Such dynamics are known to create complex implementation environments, where changes risk being poorly implemented or fail to be sustained. In this commentary, we extend the discussion by Grutters et al on early health economic modelling, to the evaluation of complex interventions and systems. We highlight how early health economic modelling can contribute to a participatory approach for ongoing learning and development within healthcare organisations.


2019 ◽  
Vol 58 (1) ◽  
Author(s):  
Lauren M. Petersen ◽  
Isabella W. Martin ◽  
Wayne E. Moschetti ◽  
Colleen M. Kershaw ◽  
Gregory J. Tsongalis

ABSTRACT Metagenomic sequencing for infectious disease diagnostics is an important tool that holds promise for use in the clinical laboratory. Challenges for implementation so far include high cost, the length of time to results, and the need for technical and bioinformatics expertise. However, the recent technological innovation of nanopore sequencing from Oxford Nanopore Technologies (ONT) has the potential to address these challenges. ONT sequencing is an attractive platform for clinical laboratories to adopt due to its low cost, rapid turnaround time, and user-friendly bioinformatics pipelines. However, this method still faces the problem of base-calling accuracy compared to other platforms. This review highlights the general challenges of pathogen detection in clinical specimens by metagenomic sequencing, the advantages and disadvantages of the ONT platform, and how research to date supports the potential future use of nanopore sequencing in infectious disease diagnostics.


2017 ◽  
Vol 13 (3) ◽  
pp. 312-321 ◽  
Author(s):  
Anders Gustavsson ◽  
Colin Green ◽  
Roy W. Jones ◽  
Hans Förstl ◽  
Deniz Simsek ◽  
...  

2015 ◽  
Vol 18 (7) ◽  
pp. A696
Author(s):  
MJ Nuijten ◽  
M Krol ◽  
WK Redekop

2018 ◽  
Vol 119 (2) ◽  
pp. 1456-1518 ◽  
Author(s):  
Christine F. Markwalter ◽  
Andrew G. Kantor ◽  
Carson P. Moore ◽  
Kelly A. Richardson ◽  
David W. Wright

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