Evidence map›Paper›PMID 30728954›Full record

ArticleAntimicrobial resistance and infection control2019

The impact of the national action plan on the epidemiology of antibiotic resistance among 352,238 isolates in a teaching hospital in China from 2015 to 2018.

Shanjuan Wang, Yanhong Jessika Hu, Paul Little, Yifei Wang, Qing Chang, Xudong Zhou, Michael Moore, Joseph Irvin Harwell

Abstract read
In one paragraph

Article in Antimicrobial resistance and infection control, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Mobility ofMicrobial genomics · 2021
    Article
  5. Article
  6. Article
  7. Observational
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

8 authors.

Shanjuan Wang1Shanghai General Practice Medical Education and Research Center, Jiading District Central Hospital Affiliated Shanghai University of Medicine & Health Sciences, No 1 Chengbei Rd, Jiading, Shanghai, 201800 China.
Yanhong Jessika Hu2School of Public Health, The University of Hong Kong, G/F, Patrick Manson Building (North Wing), 7 Sassoon Road, Pokfulam, Hong Kong.
Paul Little3Primary Care and Population Sciences, University of Southampton, Aldermoor Health Centre, Aldermoor Close, Southampton, SO16 5ST UK.
Yifei Wang1Shanghai General Practice Medical Education and Research Center, Jiading District Central Hospital Affiliated Shanghai University of Medicine & Health Sciences, No 1 Chengbei Rd, Jiading, Shanghai, 201800 China.
Qing Chang1Shanghai General Practice Medical Education and Research Center, Jiading District Central Hospital Affiliated Shanghai University of Medicine & Health Sciences, No 1 Chengbei Rd, Jiading, Shanghai, 201800 China.
Xudong Zhou4School of Public Health, Zhejiang University, 866 Yuhangtang Road, Hangzhou, 310058 Zhejiang China.
Michael Moore3Primary Care and Population Sciences, University of Southampton, Aldermoor Health Centre, Aldermoor Close, Southampton, SO16 5ST UK.
Joseph Irvin Harwell5Clinical Science Team, Clinton Health Access Initiative, 383 Dorchester Ave, Boston, MA 02127 USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: We sought to understand the epidemiology and characteristics of antimicrobial resistance (AMR) and the impact of the National Action Plan (NAP) on AMR. This information will be critical to develop interventions and strengthen antibiotic stewardship in hospital settings in China. Methods: Cross-sectional data collection from the hospital information management system from 1 January 2015 to 30 August 2018. Variables included patient age, sex, diagnosis, hospital department and antibiotic sensitivity test. T-test for two samples method was applied to compare the results before and after NAP implementation. Multivariate analysis with binary logistic regression was conducted to examine the associations of risk factors for antimicrobial resistance. Results: In total there were 352,238 isolates in the final analysis after excluding contamination strains and isolates with incomplete information. More than 50% of patients were > 66 years old. 62% were male. 40% of the total samples were sputum. Among the total sample, the total resistance rate was 42% among all isolates. The rate of resistance to all antibiotics declined by 5.3% (95% CI 4.96-5.64%, Conclusions: Antibiotic resistance rates were high in this teaching hospital. However, the introduction of the China NAP since 2016 followed by hospital policy emphasis was associated with a declining AMR trend. Policies will need to incorporate antimicrobial stewardship with a focus on certain departments, with infection control practices and with increases in vaccination coverage among elderly.

Indexed as

Drug Resistance, BacterialAdolescentAdultAgedAged, 80 and overAnti-Bacterial AgentsAntimicrobial StewardshipBacteriaBacterial InfectionsChildChild, PreschoolChinaCross-Sectional StudiesFemaleHospitals, TeachingHumansAnti-Bacterial AgentsAntibiotic Resistance HospitalChinaEpidemiologyNational action plan

Identifiers

PMID30728954
PMCPMC6352357

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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.