Evidence map›Paper›PMID 31242185›Full record

ArticlePloS one2019

Clinical pattern of antibiotic overuse and misuse in primary healthcare hospitals in the southwest of China.

Yue Chang, Sarunyou Chusri, Rassamee Sangthong, Edward McNeil, Jiaqi Hu, Wei Du, Duan Li, Xingying Fan, Hanni Zhou, Virasakdi Chongsuvivatwong and 1 more

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

50 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Observational
  9. Article
  10. Evolution, dissemination, and genetic dynamics of the carbapenem resistance geneFrontiers in cellular and infection microbiology · 2025
    Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Yue ChangSchool of Medicine and Health Management, Guizhou Medical University, Guizhou, China.ORCID 0000-0001-7411-2441
Sarunyou ChusriDivision of Infectious Disease, Department of Internal Medicine, Prince of Songkla University, Hat Yai, Songkhla, Thailand.
Rassamee SangthongEpidemiology Unit, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, Thailand.
Edward McNeilEpidemiology Unit, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, Thailand.
Jiaqi HuSchool of Medicine and Health Management, Guizhou Medical University, Guizhou, China.
Wei DuSchool of Medicine and Health Management, Guizhou Medical University, Guizhou, China.
Duan LiSchool of Medicine and Health Management, Guizhou Medical University, Guizhou, China.
Xingying FanSchool of Medicine and Health Management, Guizhou Medical University, Guizhou, China.
Hanni ZhouSchool of Medicine and Health Management, Guizhou Medical University, Guizhou, China.
Virasakdi ChongsuvivatwongEpidemiology Unit, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, Thailand.ORCID 0000-0002-9850-4463
Lei TangSchool of Medicine and Health Management, Guizhou Medical University, Guizhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeOveruse and misuse of antibiotics are the primary risk factors for antibiotics resistance. Inadequate professional competence of primary care physicians might exacerbate these problems in China. This retrospective study aims to document the clinical pattern of antibiotics use and its overuse and misuse rates in rural primary care institutions and to evaluate the association between antibiotics use and characteristics of physicians and their patients.

methodsMedical records from 16 primary care hospitals in rural areas of Guizhou province, China were obtained from the Health Information System in 2018. Classification of unnecessary use, incorrect spectrum of antibiotic, escalated use of extended spectrum and combined antibiotics use was based on the Guiding Principle of Clinical Use of Antibiotics (2015, China) and guidelines from the US Centers for Disease Control and Prevention. Generalized Estimating Equations were employed to determine predictive factors for inappropriate antibiotics use.

resultsA total of 74,648 antibiotics prescriptions were retrieved. Uncomplicated respiratory infection was the most common disease accounting for 58.6% of all prescriptions. The main antibiotic group used was penicillins (51.5%) followed by cephalosporins and macrolides (14% each). Of 57,009 patient visits, only 8.7% of the antibiotic prescriptions were appropriate. Combined use, escalated use of extended spectrum antibiotics, incorrect spectrum and unnecessary antibiotics use was found in 7.8%, 1.9%, 4.3% and 77.3% of patient visits, respectively, of which 28.7% were given intravenously. Antibiotics misuse was significantly more likely among newly employed physicians with lower levels of professional education. Adult patients and those who had public insurance had a higher risk of being prescribed unnecessary antibiotics.

conclusionOveruse of antibiotics for uncomplicated respiratory infection and use of cephalosporins, macrolides and injection antibiotics in primary care are the major problems of clinical practice in rural areas of Guizhou.

Indexed as

Practice Patterns, Physicians'AdultAgedAnti-Bacterial AgentsChinaDrug MisuseFemaleHospitalsHumansMaleMiddle AgedPractice Guidelines as TopicPrimary Health CareRespiratory Tract InfectionsRetrospective StudiesRural PopulationAnti-Bacterial Agents

Identifiers

PMID31242185
PMCPMC6594576

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.