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Impact of national guidelines for antimicrobial stewardship to reduce antibiotic use in upper respiratory tract infection and gastroenteritis

Published online by Cambridge University Press:  22 September 2020

Daisuke Sato*
Affiliation:
Department of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, Tokyo, Japan
Tadahiro Goto
Affiliation:
Department of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, Tokyo, Japan
Kazuaki Uda
Affiliation:
Department of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, Tokyo, Japan
Ryosuke Kumazawa
Affiliation:
Department of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, Tokyo, Japan
Hiroki Matsui
Affiliation:
Department of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, Tokyo, Japan
Hideo Yasunaga
Affiliation:
Department of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, Tokyo, Japan
*
Author for correspondence: Daisuke Sato, E-mail: [email protected]

Abstract

Objective:

To examine whether the issue and dissemination of national guidelines in the Manual of Antimicrobial Stewardship had an impact on reducing antibiotic use for acute respiratory tract infection (ARTI) and gastroenteritis.

Method:

An interrupted time-series analysis was performed using a large nationwide database from June 2016 to June 2018. Outpatients with ARTI or gastroenteritis aged ≥6 years were identified. The outcome measures were any antibiotic use and broad-spectrum antibiotic use. The season-adjusted changes in the rate of antibiotic prescriptions for 2 periods before and after the guideline issue date were examined.

Results:

There were 13,177,735 patients with ARTI and 300,565 patients with gastroenteritis during the study period. Among patients with ARTI, there was a significant downward trend in antibiotic use during the 2-year study period (−0.06% per week; 95% CI, −0.07% to −0.04%). However, there was no significant change in trends of antibiotic use between the pre-issue period and post-issue period (trend difference, −0.01% per week; 95% CI, −0.10% to 0.07%). Similarly, for patients with gastroenteritis, there was no significant change in the trends of antibiotic use between the pre-issue period and post-issue period (trend difference, −0.02% per week; 95% CI, −0.04% to 0.01%). Similar associations were observed in analyses for broad-spectrum antibiotic use.

Conclusions:

Despite the issue of national guidelines to promote the appropriate use of antibiotics, there were no significant changes in trends of antibiotic use for outpatients with ARTI or gastroenteritis between the pre-issue and post-issue periods.

Type
Original Article
Copyright
© 2020 by The Society for Healthcare Epidemiology of America. All rights reserved.

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References

Global action plan on antimicrobial resistance. World Health Organization website. https://apps.who.int/iris/bitstream/handle/10665/254352/sea-cd-308.pdf?sequence=1&isAllowed=y. Published May 2015. Accessed May 9, 2020.Google Scholar
National action plan on antimicrobial resistance (AMR), 2016–2020. The Government of Japan Ministry of Health website. https://www.mhlw.go.jp/file/06-Seisakujouhou-10900000-Kenkoukyoku/0000138942.pdf. Published April 2016. Accessed May 9, 2020.Google Scholar
Government response to the review on antimicrobial resistance. HM Government website. https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/553471/Gov_response_AMR_Review.pdf. Published September 2016. Accessed May 9, 2020.Google Scholar
The White House. National action plan for combating antibiotic-resistant bacteria. Centers for Disease Control and Prevention website. https://www.cdc.gov/drugresistance/pdf/national_action_plan_for_combating_antibotic-resistant_bacteria.pdf. Published March 2015. Accessed May 9, 2020.Google Scholar
Manual of Antimicrobial Stewardship (1st Edition). The Government of Japan, Ministry of Health, Labour and Welfare, Health Service Bureau, Tuberculosis and Infectious Diseases Control Division website. https://www.mhlw.go.jp/file/06-Seisakujouhou-10900000-Kenkoukyoku/0000193504.pdf. Published July 2017. Accessed May 9, 2020.Google Scholar
Hashimoto, H, Matsui, H, Sasabuchi, Y, et al. Antibiotic prescription among outpatients in a prefecture of Japan, 2012–2013: a retrospective claims database study. BMJ Open 2019;9:e026251. doi: 10.1136/bmjopen-2018-026251.CrossRefGoogle Scholar
Dolk, FCK, Pouwels, KB, Smith, DRM, Robotham, JV, Smieszek, T. Antibiotics in primary care in England: which antibiotics are prescribed and for which conditions? J Antimicrob Chemother 2018;73 suppl 2:ii2ii10.CrossRefGoogle ScholarPubMed
Fleming-Dutra, KE, Hersh, AL, Shapiro, DJ, et al. Prevalence of inappropriate antibiotic prescriptions among US ambulatory care visits, 2010–2011. JAMA 2016;315:18641873.CrossRefGoogle ScholarPubMed
Antimicrobial Resistance (AMR). Ministry of Health, Labour and Welfare, Japan website. https://www.mhlw.go.jp/stf/seisakunitsuite/bunya/0000120172.html. Accessed May 9, 2020.Google Scholar
Kimura, Y, Fukuda, H, Hayakawa, K, et al. Longitudinal trends of and factors associated with inappropriate antibiotic prescribing for nonbacterial acute respiratory tract infection in Japan: a retrospective claims database study, 2012–2017. PLoS One 2019;14:e0223835. doi: 10.1371/journal.pone.0223835.CrossRefGoogle Scholar
Kimura, S, Sato, T, Ikeda, S, Noda, M, Nakayama, T. Development of a database of health insurance claims: standardization of disease classifications and anonymous record linkage. J Epidemiol 2010;20:413419.CrossRefGoogle ScholarPubMed
Martin, J, Cunliffe, J, Décary-Hétu, D, Aldridge, J. Effect of restricting the legal supply of prescription opioids on buying through online illicit marketplaces: interrupted time series analysis. BMJ 2018;361:k2270. doi: 10.1136/bmj.k2270.CrossRefGoogle ScholarPubMed
Bernal, JL, Cummins, S, Gasparrini, A. Interrupted time series regression for the evaluation of public health interventions: a tutorial. Int J Epidemiol 2017;46:348355.Google ScholarPubMed
Kontopantelis, E, Doran, T, Springate, DA, et al. Regression based quasi-experimental approach when randomisation is not an option: interrupted time series analysis. BMJ 2015;350:h2750. doi: 10.1136/bmj.h2750.CrossRefGoogle Scholar
Bhattacharyya, N, Kepnes, LJ. Initial impact of the acute otitis externa clinical practice guideline on clinical care. Otolaryngol Head Neck Surg 2011;145:414417.CrossRefGoogle ScholarPubMed
Bhattacharyya, N, Kepnes, LJ. Patterns of care before and after the adult sinusitis clinical practice guideline. Laryngoscope 2013;123:15881591.CrossRefGoogle ScholarPubMed
Hawker, JI, Smith, S, Smith, GE, et al. Trends in antibiotic prescribing in primary care for clinical syndromes subject to national recommendations to reduce antibiotic resistance, UK 1995–2011: analysis of a large database of primary care consultations. J Antimicrob Chemother 2014;69:34233430.CrossRefGoogle ScholarPubMed
Cousens, S, Hargreaves, J, Bonell, C, et al. Alternatives to randomisation in the evaluation of public-health interventions: statistical analysis and causal inference. J Epidemiol Community Health 2011;65:576581.CrossRefGoogle ScholarPubMed
Gu, Y, Fujitomo, Y, Soeda, H, et al. A nationwide questionnaire survey of clinic doctors on antimicrobial stewardship in Japan. J Infect Chemother 2020;26:149156.CrossRefGoogle ScholarPubMed
Avorn, J, Solomon, DH. Cultural and economic factors that (mis)shape antibiotic use: the nonpharmacologic basis of therapeutics. Ann Intern Med 2000;133:128135.CrossRefGoogle ScholarPubMed
Lewis, PJ, Tully, MP. The discomfort caused by patient pressure on the prescribing decisions of hospital prescribers. Res Social Adm Pharm 2011;7:415.CrossRefGoogle ScholarPubMed
Fletcher-Lartey, S, Yee, M, Gaarslev, C, Khan, R. Why do general practitioners prescribe antibiotics for upper respiratory tract infections to meet patient expectations: a mixed methods study. BMJ Open 2016;6:e012244.CrossRefGoogle ScholarPubMed
O’Connor, R, O’Doherty, J, O’Regan, A, et al. Antibiotic use for acute respiratory tract infections (ARTI) in primary care; what factors affect prescribing and why is it important? A narrative review. Ir J Med Sci 2018;187:969986.CrossRefGoogle ScholarPubMed
Burkhard, D, Schmid, CPR, Wuthrich, K. Financial incentives and physician prescription behavior: evidence from dispensing regulations. Health Econ 2019;28:11141129.CrossRefGoogle ScholarPubMed
Balinskaite, V, Johnson, AP, Holmes, A, et al. The impact of a national antimicrobial stewardship program on antibiotic prescribing in primary care: an interrupted time series analysis. Clin Infect Dis 2019;69:227232.CrossRefGoogle ScholarPubMed
Bou-Antoun, S, Costelloe, C, Honeyford, K, et al. Age-related decline in antibiotic prescribing for uncomplicated respiratory tract infections in primary care in England following the introduction of a national financial incentive (the Quality Premium) for health commissioners to reduce use of antibiotics in the community: an interrupted time series analysis. J Antimicrob Chemother 2018;73:28832892.CrossRefGoogle ScholarPubMed
Han, E, Chae, SM, Kim, NS, et al. Effects of pharmaceutical cost containment policies on doctors’ prescribing behavior: focus on antibiotics. Health Policy 2015;119:12451254.CrossRefGoogle ScholarPubMed
Lim, JM, Singh, SR, Duong, MC, Legido-Quigley, H, Hsu, LY, Tam, CC. Impact of national interventions to promote responsible antibiotic use: a systematic review. J Antimicrob Chemother 2020;75:1429.CrossRefGoogle ScholarPubMed
Kamata, K, Tokuda, Y, Gu, Y, Ohmagari, N, Yanagihara, K. Public knowledge and perception about antimicrobials and antimicrobial resistance in Japan: a national questionnaire survey in 2017. PLoS One 2018;13:e0207017. doi: 10.1371/journal.pone.0207017.CrossRefGoogle Scholar
National Center for Global Health and Medicine. Antimicrobial Resistance Clinical Reference Center website [in Japanese]. http://amr.ncgm.go.jp/general/. Accessed July 5, 2020.Google Scholar
Tsuzuki, S, Fujitsuka, N, Horiuchi, K, et al. Factors associated with sufficient knowledge of antibiotics and antimicrobial resistance in the Japanese general population. Sci Rep 2020;10:3502. doi: 10.1038/s41598-020-60444-1.CrossRefGoogle ScholarPubMed
Antibiotic resistance threats in the United States, 2019. Centers for Disease Control and Prevention website. https://www.cdc.gov/drugresistance/pdf/threats-report/2019-ar-threats-report-508.pdf. Published December 2019. Accessed May 9, 2020.Google Scholar
Ammerlaan, HS, Harbarth, S, Buiting, AG, et al. Secular trends in nosocomial bloodstream infections: antibiotic-resistant bacteria increase the total burden of infection. Clin Infect Dis 2013;56:798805.CrossRefGoogle ScholarPubMed
Stewardson, AJ, Allignol, A, Beyersmann, J, et al. The health and economic burden of bloodstream infections caused by antimicrobial-susceptible and non-susceptible Enterobacteriaceae and Staphylococcus aureus in European hospitals, 2010 and 2011: a multicentre retrospective cohort study. Euro Surveill 2016;21. doi: 10.2807/1560-7917.ES.2016.21.33.30319.CrossRefGoogle ScholarPubMed
de Kraker, ME, Wolkewitz, M, Davey, PG, et al. Clinical impact of antimicrobial resistance in European hospitals: excess mortality and length of hospital stay related to methicillin-resistant Staphylococcus aureus bloodstream infections. Antimicrob Agents Chemother 2011;55:15981605.CrossRefGoogle ScholarPubMed
Lopez Bernal, J, Cummins, S, Gasparrini, A. The use of controls in interrupted time series studies of public health interventions. Int J Epidemiol 2018;47:20822093.CrossRefGoogle ScholarPubMed
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