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Use of clinical algorithms and rapid influenza testing to manage influenza-like illness: a cost-effectiveness analysis in Sri Lanka
  1. L Gayani Tillekeratne1,2,
  2. Champica Bodinayake3,
  3. Ajith Nagahawatte3,
  4. Ruvini Kurukulasooriya4,
  5. Lori A Orlando1,
  6. Ryan A Simmons2,
  7. Lawrence P Park1,2,
  8. Christopher W Woods1,2,
  9. Shelby D Reed1
  1. 1School of Medicine, Duke University, Durham, North Carolina, USA
  2. 2Duke Global Health Institute, Durham, North Carolina, USA
  3. 3Faculty of Medicine, University of Ruhuna, Galle, Sri Lanka
  4. 4Duke-Ruhuna Collaborative Research Centre, Galle, Sri Lanka
  1. Correspondence to Dr L Gayani Tillekeratne; gayani.tillekeratne{at}duke.edu

Abstract

Background Acute respiratory infections are a common reason for antibiotic overuse. We previously showed that providing Sri Lankan clinicians with positive rapid influenza test results was associated with a reduction in antibiotic prescriptions. The economic impact of influenza diagnostic strategies is unknown.

Methods We estimated the incremental cost per antibiotic prescription avoided with three diagnostic strategies versus standard care when managing Sri Lankan outpatients with influenza-like illness (ILI): (1) influenza clinical prediction tool, (2) targeted rapid influenza testing and (3) universal rapid influenza testing. We compared findings with literature-based estimates of the cost of antimicrobial resistance attributable to each antibiotic prescription.

Results Standard care was less expensive than other strategies across all parameter values in one-way sensitivity analyses. The incremental cost per antibiotic prescription avoided with clinical prediction versus standard care was US$3.0, which was lower than the base-case estimate of the cost of antimicrobial resistance per ILI antibiotic prescription (US$12.5). The incremental cost per antibiotic prescription avoided with targeted testing and universal testing versus standard care were both higher than the base-case cost of antimicrobial resistance per ILI antibiotic prescription: US$49.1 and US$138.3, respectively. To obtain a cost-effectiveness ratio lower than US$12.5 with targeted testing versus standard care, the test price must be <US$2.6. At a higher threshold of US$28.7, the test price must be <US$7.7.

Conclusion Clinical prediction tools and targeted rapid influenza testing may be cost-saving strategies in Sri Lanka when accounting for the societal cost of antimicrobial resistance.

  • diagnostics and tools
  • health economics

This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.

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Footnotes

  • Handling editor Sanni Yaya

  • Contributors LGT conceived the study, performed the analyses and drafted the manuscript. CB, AN and RK helped with data acquisition and revising the manuscript. LAO, RAS and LPP helped with data analyses and revising the manuscript. CWW and SDR helped with study design, interpretation of findings and revising the manuscript.

  • Funding LGT was supported by supported by a grant from the National Institutes of Allergy and Infectious Diseases (K23AI125677).

  • Competing interests CWW has served in an advisory capacity to Becton, Dickinson, and Company, who provided the rapid influenza tests used in the study from which data were derived.

  • Patient consent for publication Not required.

  • Provenance and peer review Not commissioned; externally peer reviewed.

  • Data availability statement All data used in these analyses have been provided in detail in the text.