Evidence map›Paper›PMID 37556412›Full record

ArticlePLOS global public health2023

Prevalence, drivers and surveillance of antibiotic resistance and antibiotic use in rural China: Interdisciplinary study.

H Lambert, X Shen, J Chai, J Cheng, R Feng, M Chen, C Cabral, I Oliver, J Shen, A MacGowan and 8 more

Open access · goldAbstract read
In one paragraph

Article in PLOS global public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.3field-weighted citation impact, top 17% 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

9 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. 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

18 authors at 6 institutions in 2 countries.

H LambertBristol Medical School, University of Bristol, Bristol, United Kingdom.ORCID https://orcid.org/0000-0003-2506-6316
X ShenSchool of Health Services Management, Anhui Medical University, Hefei, China.ORCID https://orcid.org/0000-0002-9708-9659
J ChaiSchool of Health Services Management, Anhui Medical University, Hefei, China.ORCID https://orcid.org/0000-0003-3770-2279
J ChengSchool of Health Services Management, Anhui Medical University, Hefei, China.ORCID https://orcid.org/0000-0001-6364-0206
R FengLibrary Department of Literature Retrieval and Analysis, Anhui Medical University, Hefei, China.
M ChenBristol Medical School, University of Bristol, Bristol, United Kingdom.
C CabralBristol Medical School, University of Bristol, Bristol, United Kingdom.ORCID https://orcid.org/0000-0002-9884-0555
I OliverField Service, National Infection Service, UK Health Security Agency, Bristol, United Kingdom.ORCID https://orcid.org/0000-0002-6106-1734
J ShenFourth Affiliated Hospital of Anhui Medical University, Hefei, China.
A MacGowanSevern Pathology, North Bristol NHS Trust, Bristol, United Kingdom.
K BowkerSevern Pathology, North Bristol NHS Trust, Bristol, United Kingdom.
M HickmanBristol Medical School, University of Bristol, Bristol, United Kingdom.
P KadetzInstitute for Global Health and Development, Queen Margaret University, Edinburgh, United Kingdom.ORCID https://orcid.org/0000-0002-2824-1856
L ZhaoSchool of Health Services Management, Anhui Medical University, Hefei, China.
Y PanFirst Affiliated Hospital of Anhui Medical University, Hefei, China.
R KwiatkowskaField Service, National Infection Service, UK Health Security Agency, Bristol, United Kingdom.ORCID https://orcid.org/0000-0001-9100-2623
X HuAnhui Provincial Hospital, Hefei, China.
D WangSchool of Health Services Management, Anhui Medical University, Hefei, China.
Anhui Medical University · CNUniversity of Bristol · GBNorth Bristol NHS Trust · GBUK Health Security Agency · GBAnhui Provincial Hospital · CNQueen Margaret University · GB

Funding

Medical Research Council MR/P007546/1
6 · The paper itself

Abstract

This study aimed to characterise antibiotic prescribing and dispensing patterns in rural health facilities in China and determine the community prevalence of antibiotic resistance. We investigated patterns and drivers of antibiotic use for common respiratory and urinary tract infections (RTI/UTI) in community settings, examined relationships between presenting symptoms, clinical diagnosis and microbiological results in rural outpatient clinics, and assessed potential for using patient records to monitor antibiotic use. This interdisciplinary mixed methods study included: (i) Observations and exit interviews in eight village clinics and township health centres and 15 retail pharmacies; (ii) Urine, throat swab and sputum samples from patients to identify potential pathogens and test susceptibility; (iii) 103 semi-structured interviews with doctors, patients, pharmacy workers and antibiotic-purchasing customers; (iv) Assessment of completeness and accuracy of electronic patient records through comparison with observational data. 87.9% of 1123 recruited clinic patients were prescribed antibiotics (of which 35.5% contained antibiotic combinations and >40% were for intravenous administration), most of whom had RTIs. Antibiotic prescribing for RTIs was not associated with presence of bacterial pathogens but was correlated with longer duration of infection (OR = 3.33) and presence of sore throat (OR = 1.64). Fever strongly predicted prescription of intravenous antibiotics (OR = 2.87). Resistance rates in bacterial pathogens isolated were low compared with national data. 25.8% of patients reported antibiotics use prior to their clinic visit, but only 56.2% of clinic patients and 53% of pharmacy customers could confirm their prescription or purchase included antibiotics. Diagnostic uncertainty, financial incentives, understanding of antibiotics as anti-inflammatory and limited doctor-patient communication were identified as key drivers of antibiotic use. Completion and accuracy of electronic patient records were highly variable. Prevalence of antibiotic resistance in this rural population is relatively low despite high levels of antibiotic prescribing and self-medication. More systematic use of e-records and in-service training could improve antibiotic surveillance and stewardship in rural facilities. Combining qualitative and observational anthropological methods and concepts with microbiological and epidemiological investigation of antibiotic resistance at both research design and analytic synthesis stages substantially increases the validity of research findings and their utility in informing future intervention development.

Identifiers

PMID37556412
PMCPMC10411760
OpenAlexW4385689925

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.