Trends and Patterns of Antibiotic Prescriptions in Primary Care Institutions in Southwest China, 2017-2022.

Changlan Li, Zhezhe Cui, Du Wei, Quan Zhang, Junli Yang, Wenju Wang, Xiaobo Luo, Yue Chang
Author Information
  1. Changlan Li: School of Public Health, the key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, Guizhou Province, People's Republic of China.
  2. Zhezhe Cui: Guangxi Key Laboratory of Major Infectious Disease Prevention and Control and Biosafety Emergency Response, Guangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning, Guangxi Province, People's Republic of China.
  3. Du Wei: School of Medicine and Health Management, Guizhou Medical University, Guiyang, Guizhou Province, People's Republic of China. ORCID
  4. Quan Zhang: Department of Infectious Diseases, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou Province, People's Republic of China.
  5. Junli Yang: School of Medicine and Health Management, Guizhou Medical University, Guiyang, Guizhou Province, People's Republic of China.
  6. Wenju Wang: School of Public Health, the key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, Guizhou Province, People's Republic of China.
  7. Xiaobo Luo: School of Public Health, the key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, Guizhou Province, People's Republic of China.
  8. Yue Chang: School of Medicine and Health Management, Guizhou Medical University, Guiyang, Guizhou Province, People's Republic of China. ORCID

Abstract

Purpose: To explore the prescription patterns and usage trends of antibiotics within primary care institutions located in underdeveloped regions of China from 2017 to 2022.
Methods: A retrospective analysis of antibiotic prescriptions was conducted from 25 primary care institutions in Guizhou Province during the period of 2017-2022. Antibiotic prescriptions were categorized into appropriate and inappropriate use. Appropriate use is further categorized into preferred medication, and antibiotics can be used or substituted. Inappropriate use is further categorized into unnecessary use, incorrect spectrum of antibiotics and combined use of antibiotics. Factors associated with inappropriate use were investigated using generalized estimation equations. Holt-Winters and SARIMA models were employed to predict the number of inappropriate antibiotic prescriptions as the alternative model.
Results: A total of 941,924 prescriptions were included, revealing a decreasing trend in both the number and inappropriate rates of antibiotic prescriptions from 2017 to 2022. Diseases of the respiratory system (70.66%) was the most frequent target of antibiotic use, with acute upper respiratory infections of multiple and unspecified sites representing 52.04% of these cases. The most commonly used antibiotics were penicillins (64.44%). Among all prescriptions, inappropriate antibiotic prescriptions reached 66.19%. Physicians aged over 35, holding the title of associate chief physician and possessing more than 11 years of experience were more likely to prescribe antibiotics inappropriately. The phenomenon of inappropriate antibiotic use was commoner among children aged five or younger. By comparing model parameters, it was determined that the SARIMA model outperforms the Holt-Winters model in predicting the number of inappropriate antibiotic prescriptions among primary care institutions.
Conclusion: The number and inappropriate rates of antibiotic prescriptions in southwest China exhibited a downward trend from 2017 to 2022, but inappropriate prescription remains a serious problem in primary care institutions. Therefore, future efforts should focus on strengthening physician education, training, and clinical practice. Additionally, physicians' awareness of common misconceptions about inappropriate antibiotic use must be improved, and the prescribing behavior of physicians who fulfill patients' expectations by prescribing antibiotics needs to be modified.

Keywords

References

  1. Environ Sci Pollut Res Int. 2018 Aug;25(22):21467-21482 [PMID: 29948704]
  2. PLoS One. 2021 Aug 9;16(8):e0255857 [PMID: 34370785]
  3. Front Pharmacol. 2022 Apr 14;13:861782 [PMID: 35496308]
  4. JAMA Intern Med. 2014 Dec;174(12):1914-20 [PMID: 25285394]
  5. Antibiotics (Basel). 2018 Dec 22;8(1): [PMID: 30583566]
  6. PLoS One. 2022 Nov 17;17(11):e0277802 [PMID: 36395327]
  7. BMJ Glob Health. 2020 Sep;5(9): [PMID: 32938614]
  8. PLoS One. 2017 Dec 27;12(12):e0190314 [PMID: 29281716]
  9. Front Public Health. 2022 Oct 18;10:946077 [PMID: 36330124]
  10. Ann Fam Med. 2015 Nov;13(6):529-36 [PMID: 26553892]
  11. Antimicrob Resist Infect Control. 2020 Apr 15;9(1):53 [PMID: 32295639]
  12. Int Dent J. 2021 Dec;71(6):491-499 [PMID: 33771374]
  13. J Infect Chemother. 2021 Nov;27(11):1584-1590 [PMID: 34246543]
  14. Lancet Infect Dis. 2016 Nov;16(11):1216-1218 [PMID: 27788972]
  15. BMC Health Serv Res. 2021 Aug 18;21(1):832 [PMID: 34404405]
  16. J Infect Public Health. 2020 Sep;13(9):1297-1303 [PMID: 32554035]
  17. Antimicrob Resist Infect Control. 2019 Nov 21;8:188 [PMID: 31768252]
  18. J Antimicrob Chemother. 2019 Jan 1;74(1):256-263 [PMID: 30285113]
  19. BMC Infect Dis. 2020 May 13;20(1):340 [PMID: 32404055]
  20. Antimicrob Resist Infect Control. 2021 Jul 13;10(1):105 [PMID: 34256853]
  21. J Glob Antimicrob Resist. 2022 Jun;29:513-519 [PMID: 34890831]
  22. BMJ. 2019 Jun 21;365:l4016 [PMID: 31227479]
  23. J Investig Clin Dent. 2018 Aug;9(3):e12339 [PMID: 29607628]
  24. Antibiotics (Basel). 2020 Jul 08;9(7): [PMID: 32650491]
  25. Infect Drug Resist. 2018 Nov 08;11:2199-2205 [PMID: 30519057]
  26. Proc Natl Acad Sci U S A. 2018 Apr 10;115(15):E3463-E3470 [PMID: 29581252]
  27. J Antimicrob Chemother. 2018 Mar 1;73(3):814-820 [PMID: 29272452]
  28. Health Policy Plan. 2016 Mar;31(2):250-8 [PMID: 26045328]
  29. Glob Health Action. 2017;10(1):1287334 [PMID: 28462635]
  30. Clin Infect Dis. 2018 Nov 13;67(suppl_2):S135-S141 [PMID: 30423041]
  31. Int J Microbiol. 2019 Aug 01;2019:2489063 [PMID: 31467550]
  32. PLoS One. 2018 Jun 22;13(6):e0199436 [PMID: 29933377]
  33. Afr Health Sci. 2021 Dec;21(4):1651-1661 [PMID: 35283967]
  34. SN Comput Sci. 2021;2(5):416 [PMID: 34423315]
  35. PLoS One. 2019 Jun 26;14(6):e0214779 [PMID: 31242185]
  36. BMJ Open. 2013 Jan 07;3(1): [PMID: 23299114]
  37. Fam Pract. 2015 Aug;32(4):401-7 [PMID: 25911505]
  38. Lancet Infect Dis. 2021 Jun;21(6):847-857 [PMID: 33515511]
  39. BMC Res Notes. 2018 Dec 18;11(1):904 [PMID: 30563558]
  40. Aten Primaria. 2022 Mar;54(3):102261 [PMID: 34922065]
  41. Lancet Infect Dis. 2020 Feb;20(2):179-187 [PMID: 31843383]
  42. Int J Antimicrob Agents. 2016 Dec;48(6):666-673 [PMID: 28128095]
  43. Lancet Infect Dis. 2013 Mar;13(3):189-91 [PMID: 23427881]
  44. PLoS One. 2019 Nov 13;14(11):e0224848 [PMID: 31721809]
  45. Lancet. 2017 Dec 9;390(10112):2584-2594 [PMID: 29231837]
  46. PLoS One. 2018 Mar 5;13(3):e0193353 [PMID: 29505584]
  47. Curr Top Microbiol Immunol. 2016;398:3-33 [PMID: 27406189]
  48. J Antimicrob Chemother. 2019 Oct 1;74(10):3069-3076 [PMID: 31257423]
  49. Antibiotics (Basel). 2021 Jan 01;10(1): [PMID: 33401408]
  50. J Glob Antimicrob Resist. 2023 Jun;33:51-60 [PMID: 36828121]
  51. Neuroepidemiology. 2020;54(6):472-481 [PMID: 33176327]
  52. Expert Rev Anti Infect Ther. 2015 May;13(5):665-80 [PMID: 25813839]
  53. World J Pediatr. 2018 Aug;14(4):335-343 [PMID: 30062648]
  54. Afr Health Sci. 2019 Sep;19(3):2356-2364 [PMID: 32127805]
  55. Eur J Oral Sci. 2020 Dec;128(6):518-525 [PMID: 33084160]
  56. BMC Pharmacol Toxicol. 2018 Jul 27;19(1):46 [PMID: 30049281]
  57. Antibiotics (Basel). 2021 Jul 10;10(7): [PMID: 34356762]
  58. Front Pharmacol. 2021 Nov 03;12:757309 [PMID: 34803701]
  59. Int J Rheum Dis. 2022 Nov;25(11):1263-1269 [PMID: 35962522]
  60. Ther Adv Drug Saf. 2014 Dec;5(6):229-41 [PMID: 25436105]
  61. Pharmacotherapy. 2020 Oct;40(10):1012-1021 [PMID: 32867003]
  62. Int J Infect Dis. 2017 Feb;55:20-23 [PMID: 27955991]
  63. BMC Prim Care. 2022 Oct 26;23(1):269 [PMID: 36289470]
  64. Infect Dis Clin North Am. 2016 Jun;30(2):313-322 [PMID: 27208761]
  65. Soc Sci Med. 2019 Mar;224:149-155 [PMID: 30784853]

Word Cloud

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