Cost effectiveness of amoxicillin for lower respiratory tract infections in primary care : an economic evaluation accounting for the cost of antimicrobial resistanceCost effectiveness of amoxicillin for lower respiratory tract infections in primary care : an economic evaluation accounting for the cost of antimicrobial resistance
Faculty of Medicine and Health Sciences
Vaccine & Infectious Disease Institute (VAXINFECTIO)
The British journal of general practice. - London
(2016), p. 1-7
University of Antwerp
Background Lower respiratory tract infections (LRTIs) are a major disease burden and are often treated with antibiotics. Typically, studies evaluating the use of antibiotics focus on immediate costs of care, and do not account for the wider implications of antimicrobial resistance. Aim This study sought to establish whether antibiotics (principally amoxicillin) are cost effective in patients with LRTIs, and to explore the implications of taking into account costs associated with resistance. Design and setting Multinational randomised double-blinded trial in 2060 patients with acute cough/LRTIs recruited in 12 European countries. Method A cost-utility analysis from a health system perspective with a time horizon of 28 days was conducted. The primary outcome measure was the quality-adjusted life year (QALY). Hierarchical modelling was used to estimate incremental cost-effectiveness ratios (ICERs). Results Amoxicillin was associated with an ICER of 8216 (£6540) per QALY gained when the cost of resistance was excluded. If the cost of resistance is greater than 11 (£9) per patient, then amoxicillin treatment is no longer cost effective. Including possible estimates of the cost of resistance resulted in ICERs ranging from 14 730 (£11 949) per QALY gained when only multidrug resistance costs and health care costs are included to 727 135 (£589 856) per QALY gained when broader societal costs are also included. Conclusion Economic evaluation of antibiotic prescribing strategies that do not include the cost of resistance may provide misleading results that could be of questionable use to policymakers. However, further work is required to estimate robust costs of resistance.