Skip to main content

Advertisement

Log in

Association of physician experience with a higher prescription rate of anti-influenza agents in low-risk patients

  • IM - ORIGINAL
  • Published:
Internal and Emergency Medicine Aims and scope Submit manuscript

Abstract

During the influenza season, most patients suspected of having influenza undergo rapid influenza diagnostic tests (RIDTs) in Japan despite their low sensitivity. However, the physician’s actual rationale for prescribing antivirals, besides the results of RIDTs, remains poorly understood. Our study sought to identify the role of clinical information and physicians’ experience in the initiation of anti-influenza agents. We retrospectively reviewed 380 patients who underwent RIDTs at the emergency department of our hospital from September 2018 to May 2019. Data regarding sex, age, etc., which could affect the decision of prescribing antivirals, were extracted from medical records. We performed logistic regression analysis to analyze the concurrent effect of potentially relevant clinical factors, results of RIDTs, and the physician’s status on antiviral prescription. Multivariable analysis revealed that a positive RIDT had the largest effect on antiviral prescription, followed by physician status, high regional influenza activity, and patients’ presentation within 12 h of symptom onset. Patient’s age, comorbidities, and presentation after 48 h of symptom onset were not associated with antiviral treatment. Physicians with more years of experience were significantly more likely to prescribe antivirals for patients with low risk of complications. Our findings revealed the physicians’ rationale for initiating antiviral treatment and the discrepancy with guideline indications of antivirals, which is the patient’s age and comorbidities. Physicians, especially those with more than 3 years of experience, frequently prescribed antivirals for patients with low risk of complications; thus, educational interventions against this population could be useful to improve this situation.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

Data availability

The data that support the findings of this study are available from the corresponding author, R.S., upon reasonable request.

Code availability

Not applicable.

References

  1. World Health Organization (2018) Influenza (seasonal) fact sheet. https://www.who.int/en/news-room/fact-sheets/detail/influenza-(seasonal) Accessed 22 Aug 2020

  2. Blaschke AJ, Shapiro DJ, Pavia AT, Byington CL, Ampofo K, Stockmann C, Hersh AL (2014) A national study of the impact of rapid influenza testing on clinical care in the emergency department. J Pediatric Infect Dis Soc 3(2):112–118. https://doi.org/10.1093/jpids/pit071

    Article  PubMed  Google Scholar 

  3. Falsey AR, Murata Y, Walsh EE (2007) Impact of rapid diagnosis on management of adults hospitalized with influenza. Arch Intern Med 167(4):354–360. https://doi.org/10.1001/archinte.167.4.ioi60207

    Article  PubMed  Google Scholar 

  4. Busson L, Mahadeb B, De Foor M, Vandenberg O, Hallin M (2017) Contribution of a rapid influenza diagnostic test to manage hospitalized patients with suspected influenza. Diagn Microbiol Infect Dis 87(3):238–242. https://doi.org/10.1016/j.diagmicrobio.2016.11.015

    Article  PubMed  Google Scholar 

  5. Jefferson T, Jones M, Doshi P, Spencer EA, Onakpoya I, Heneghan CJ (2014) Oseltamivir for influenza in adults and children: systematic review of clinical study reports and summary of regulatory comments. BMJ 348:g2545. https://doi.org/10.1136/bmj.g2545

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Uyeki TM, Bernstein HH, Bradley JS et al (2019) Clinical practice guidelines by the infectious diseases society of America: 2018 update on diagnosis, treatment, chemoprophylaxis, and institutional outbreak management of seasonal influenzaa. Clin Infect Dis 68(6):895–902. https://doi.org/10.1093/cid/ciy866

    Article  PubMed  PubMed Central  Google Scholar 

  7. Chartrand C, Leeflang MM, Minion J, Brewer T, Pai M (2012) Accuracy of rapid influenza diagnostic tests: ameta-analysis. Ann Intern Med 156(7):500–511. https://doi.org/10.7326/0003-4819-156-7-201204030-00403

    Article  PubMed  Google Scholar 

  8. Merckx J, Wali R, Schiller I, Caya C, Gore GC, Chartrand C, Dendukuri N, Papenburg J (2017) Diagnostic accuracy of novel and traditional rapid tests for influenza infection compared with reverse transcriptase polymerase chain reaction: a systematic review and meta-analysis. Ann Intern Med 167(6):394–409. https://doi.org/10.7326/M17-0848

    Article  PubMed  Google Scholar 

  9. Sugaya N (2011) Widespread use of neuraminidase inhibitors in Japan. J Infect Chemother 17(5):595–601. https://doi.org/10.1007/s10156-011-0288-0

    Article  CAS  PubMed  Google Scholar 

  10. F. Hoffmann-La Roche Ltd. Media Release (2015) Roche delivers solid results in 2014. http://www.roche.com/med-cor-2015-01-28-e.pdf. Accessed 22 Aug 2020

  11. Grohskopf LA, Sokolow LZ, Broder KR, Walter EB, Fry AM, Jernigan DB (2018) Prevention and control of seasonal influenza with vaccines: recommendations of the advisory committee on immunization practices-United States, 2018–19 Influenza Season. MMWR Recomm Rep 67(3):1–20. https://doi.org/10.15585/mmwr.rr6703a1

  12. Sakai-Tagawa Y, Ozawa M, Yamada S, Uchida Y, Saito T, Takahashi K, Sugaya N, Tashiro M, Kawaoka Y (2014) Detection sensitivity of influenza rapid diagnostic tests. Microbiol Immunol 58(10):600–606. https://doi.org/10.1111/1348-0421.12185

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Tokuno O, Fujiwara M, Nakajoh Y, Yamanouchi S, Adachi M, Ikeda A, Kitayama S, Takahashi T, Kase T, Kinoshita S, Kumagai S (2009) Comparison of detection sensitivity in rapid-diagnosis influenza virus kits. Kansenshogaku Zasshi 83(5):525–533. https://doi.org/10.11150/kansenshogakuzasshi.83.525

    Article  PubMed  Google Scholar 

  14. Hashimoto S, Kawado M, Murakami Y, Ohta A, Shigematsu M, Tada Y, Taniguchi K, Nagai M (2014) Number of sentinel medical institutions needed for estimating prefectural incidence in influenza surveillance in Japan. J Epidemiol 24(3):183–192. https://doi.org/10.2188/jea.je20130077

    Article  PubMed  Google Scholar 

  15. Katz MA, Lamias MJ, Shay DK, Uyeki TM (2009) Use of rapid tests and antiviral medications for influenza among primary care providers in the United States. Influenza Other Respir Viruses 3(1):29–35. https://doi.org/10.1111/j.1750-2659.2009.00070.x

    Article  PubMed  PubMed Central  Google Scholar 

  16. Mueller MR, Smith PJ, Baumbach JP et al (2010) Influenza testing and antiviral prescribing practices among emergency department clinicians in 9 states during the 2006–2007 influenza season. Ann Emerg Med 55(1):32–39. https://doi.org/10.1016/j.annemergmed.2009.09.019

    Article  PubMed  Google Scholar 

  17. Rothberg MB, Bonner AB, Rajab MH, Kim HS, Stechenberg BW, Rose DN (2006) Effects of local variation, specialty, and beliefs on antiviral prescribing for influenza. Clin Infect Dis 42(1):95–99. https://doi.org/10.1086/498517

    Article  PubMed  Google Scholar 

  18. Cabana MD, Rand CS, Powe NR, Wu AW, Wilson MH, Abboud PA, Rubin HR (1999) Why don’t physicians follow clinical practice guidelines? A Framework Improvement JAMA 282(15):1458–1465. https://doi.org/10.1001/jama.282.15.1458

    Article  CAS  PubMed  Google Scholar 

  19. Halm EA, Atlas SJ, Borowsky LH, Benzer TI, Metlay JP, Chang YC, Singer DE (2000) Understanding physician adherence with a pneumonia practice guideline: effects of patient, system, and physician factors. Arch Intern Med 160(1):98–104. https://doi.org/10.1001/archinte.160.1.98

    Article  CAS  PubMed  Google Scholar 

  20. Halm EA, Atlas SJ, Borowsky LH, Benzer TI, Singer DE (1999) Change in physician knowledge and attitudes after implementation of a pneumonia practice guideline. J Gen Intern Med 14(11):688–694. https://doi.org/10.1046/j.1525-1497.1999.03469.x

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Grimshaw JM, Russell IT (1993) Effect of clinical guidelines on medical practice: a systematic review of rigorous evaluations. Lancet 342(8883):1317–1322. https://doi.org/10.1016/0140-6736(93)92244-n

    Article  CAS  PubMed  Google Scholar 

  22. Lagerløv P, Loeb M, Andrew M, Hjortdahl P (2000) Improving doctors’ prescribing behaviour through reflection on guidelines and prescription feedback: a randomised controlled study. Qual Health Care 9(3):159–165. https://doi.org/10.1136/qhc.9.3.159

    Article  PubMed  PubMed Central  Google Scholar 

  23. Tanei M, Yokokawa H, Murai K, Sakamoto R, Amari Y, Boku S, Inui A, Fujibayashi K, Uehara Y, Isonuma H, Kikuchi K, Naito T (2014) Factors influencing the diagnostic accuracy of the rapid influenza antigen detection test (RIADT): a cross-sectional study. BMJ Open 4(1):e003885. https://doi.org/10.1136/bmjopen-2013-003885

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

None. No financial nor material support.

Funding

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Author information

Authors and Affiliations

Authors

Contributions

KN; Designed and analyzed the clinical research. Wrote, RS; Supervised the research, All authors contributed to the interpretation of data and writing of the final manuscript. All authors approved the publishing of the manuscript and agreed to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.

Corresponding author

Correspondence to Ryuichi Sada.

Ethics declarations

Conflicts of interest

The authors declare that they have no conflict of interest.

Statement of human and animal rights

Approval was obtained from the institutional ethics committee of Tenri Hospital (No. 1093). The procedures used in this study adhere to the tenets of the Declaration of Helsinki.

Consent to participate

Consent to publish Written informed consent was waved by the institutional ethics committee due to the retrospective nature of this study.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Nakajima, K., Akebo, H., Tsugihashi, Y. et al. Association of physician experience with a higher prescription rate of anti-influenza agents in low-risk patients. Intern Emerg Med 16, 1215–1221 (2021). https://doi.org/10.1007/s11739-020-02570-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11739-020-02570-2

Keywords

Navigation