Evidence map›Paper›PMID 29723230›Full record

ArticlePloS one2018

Consumption of antibiotics in Chinese public general tertiary hospitals (2011-2014): Trends, pattern changes and regional differences.

Xiaoyuan Qu, Chang Yin, Xihong Sun, Shusheng Huang, Chaofan Li, Panpan Dong, Xiufang Lu, Zhuo Zhang, Aitian Yin

Open access · goldAbstract readComparative Study
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
6.4field-weighted citation impact, top 3% of its field
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

34 citing papers in PubMed, 1 synthesis or guideline pooled it, 75 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Observational
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  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

9 authors at 2 institutions in 1 country.

Xiaoyuan QuSchool of Health Care Management, Key Laboratory of Health Economics and Policy Research, NHFPS, Shandong University, Jinan, Shandong, China.
Chang YinInformation Center, National Institute of Hospital Administration, Beijing, China.
Xihong SunSchool of Health Care Management, Key Laboratory of Health Economics and Policy Research, NHFPS, Shandong University, Jinan, Shandong, China.
Shusheng HuangSchool of Health Care Management, Key Laboratory of Health Economics and Policy Research, NHFPS, Shandong University, Jinan, Shandong, China.
Chaofan LiSchool of Health Care Management, Key Laboratory of Health Economics and Policy Research, NHFPS, Shandong University, Jinan, Shandong, China.
Panpan DongSchool of Health Care Management, Key Laboratory of Health Economics and Policy Research, NHFPS, Shandong University, Jinan, Shandong, China.
Xiufang LuSchool of Health Care Management, Key Laboratory of Health Economics and Policy Research, NHFPS, Shandong University, Jinan, Shandong, China.
Zhuo ZhangSchool of Health Care Management, Key Laboratory of Health Economics and Policy Research, NHFPS, Shandong University, Jinan, Shandong, China.
Aitian YinSchool of Health Care Management, Key Laboratory of Health Economics and Policy Research, NHFPS, Shandong University, Jinan, Shandong, China.ORCID 0000-0001-8046-0936
Shandong University · CNNational Institute of Hospital Administration · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChina has a high rate of antibiotic use. The Chinese Ministry of Health (MOH) established the Center for Antibacterial Surveillance (CAS) to monitor the use of antibacterial agents in hospitals in 2005. The purpose of this study was to identify trends, pattern changes and regional differences in antibiotic consumption in 151 public general tertiary hospitals across China from 2011-2014. MATERIALS AND

methodsValid data for antibiotic use were collected quarterly, and the antibiotic consumption data were expressed as the defined daily dose (DDD) per 100 inpatient days (ID). We compared the patterns of antibiotic use in different classes and geographical clusters.

resultsTotal antibiotic use significantly decreased (P = 0.018) from 75.86 DDD/100 ID in 2011 to 47.03 DDD/100 ID in 2014. The total consumption of flomoxef sodium and cefminox increased from 1.31 DDD/100 BD in 2011 to 8.6 DDD/100 BD in 2014. Cephalosporins were the most frequently used antibiotics in all regions. Third-generation cephalosporins accounted for more than 45% of the cephalosporins used. Carbapenem use substantially increased (P = 0.043). Penicillin combinations with inhibitors accounted for 50% of the penicillin used, and prescribed meropenem accounted for most of the carbapenems used in all regions in 2014. The subclasses in each antibiotic group were used differently between the seven regions, and the total hospital antibiotic use in 2014 differed significantly by region (P = 0.014).

conclusionAlthough the volume and intensity of total antibiotic use decreased, the antibiotic use patterns were not optimal, and broad-spectrum antibiotics were still the main classes. The aggregate data obtained during the study period reveal similar antibiotic consumption patterns in different regions. These findings provide useful information for improving the rational use of antibiotics. More detailed data on antibiotics linked to inpatient diseases need to be collected in future studies.

Indexed as

Anti-Bacterial AgentsAntimicrobial StewardshipChinaDrug UtilizationHospitals, GeneralHospitals, PublicHumansMotivationPractice Patterns, Physicians'Tertiary Care CentersAnti-Bacterial Agents

Identifiers

PMID29723230
PMCPMC5933762
OpenAlexW2801265347

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.