Evidence map›Paper›PMID 31401593›Full record

ArticleBMJ open2019

Pathways to optimising antibiotic use in rural China: identifying key determinants in community and clinical settings, a mixed methods study protocol.

Linhai Zhao, Rachel Marie Kwiatkowska, Jing Chai, Christie Cabral, Meixuan Chen, Karen Bowker, Caroline Coope, Jilu Shen, XingRong Shen, Jing Cheng and 7 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

10 citing papers in PubMed, 41 citations in OpenAlex.

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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

17 authors at 5 institutions in 3 countries.

Linhai Zhao *School of Health Services Management, Anhui Medical University, Hefei, China.
Rachel Marie Kwiatkowska *Field Service, National Infection Service, Public Health England, Bristol, UK rachel.kwiatkowska@phe.gov.uk.ORCID 0000-0001-9100-2623
Jing ChaiSchool of Health Services Management, Anhui Medical University, Hefei, China.ORCID 0000-0003-3770-2279
Christie CabralCentre for Academic Primary Care, University of Bristol Medical School, Bristol, UK.
Meixuan ChenSchool of Population Health Sciences, University of Bristol Medical School, Bristol, UK.
Karen BowkerSevern Pathology, North Bristol NHS Trust, Bristol, UK.
Caroline CoopeField Service, National Infection Service, Public Health England, Bristol, UK.
Jilu ShenFirst Affiliated Hospital of Anhui Medical University, Hefei, China.
XingRong ShenSchool of Health Services Management, Anhui Medical University, Hefei, China.
Jing ChengSchool of Health Services Management, Anhui Medical University, Hefei, China.
Rui FengLibrary Department of Literature Retrieval and Analysis, Anhui Medical University, Hefei, China.
Paul KadetzDrew University, Madison, New Jersey, USA.
Alasdair MacGowanSevern Pathology, North Bristol NHS Trust, Bristol, UK.
Isabel OliverField Service, National Infection Service, Public Health England, Bristol, UK.
Matthew HickmanNIHR Health Protection Research Unit in Evaluation of Interventions, University of Bristol Medical School, School of Population Health Sciences, Bristol, UK.
Debin Wang *School of Health Services Management, Anhui Medical University, Hefei, China.ORCID 0000-0002-9708-9659
Helen Lambert *School of Population Health Sciences, University of Bristol Medical School, Bristol, UK.
Anhui Medical University · CNUniversity of Bristol · GBPublic Health England · GBNorth Bristol NHS Trust · GBDrew University · US

Funding

Medical Research Council MR/K006525/1Medical Research Council MR/P007546/1
6 · The paper itself

Abstract

introductionThis study aims to investigate patterns of antibiotic treatment-seeking, describe current levels of and drivers for antibiotic use for common infections (respiratory tract and urinary tract infections) and test the feasibility of determining the prevalence and epidemiology of antimicrobial resistance (AMR) in rural areas of Anhui province, in order to identify potential interventions to promote antibiotic stewardship and reduce the burden of AMR in China. METHODS AND ANALYSIS: We will conduct direct observations, structured and semistructured interviews in retail pharmacies, village clinics and township health centres to investigate treatment-seeking and antibiotic use. Clinical isolates from 1550 sputum, throat swab and urine samples taken from consenting patients at village and township health centres will be analysed to identify bacterial pathogens and ascertain antibiotic susceptibilities. Healthcare records will be surveyed for a subsample of those recruited to the study to assess their completeness and accuracy. ETHICS AND DISSEMINATION: The full research protocol has been reviewed and approved by the Biomedical Ethics Committee of Anhui Medical University (reference number: 20170271). Participation of patients and doctors is voluntary and written informed consent is sought from all participants. Findings from the study will be disseminated through academic routes including peer-reviewed publications and conference presentations, via tailored research summaries for health professionals, health service managers and policymakers and through an end of project impact workshop with local and regional stakeholders to identify key messages and priorities for action.

Indexed as

Critical PathwaysDecision MakingPractice Patterns, Physicians'Rural PopulationAnti-Bacterial AgentsAntimicrobial StewardshipChinaDrug UtilizationHumansPrimary Health CarePublic PolicyQualitative ResearchResearch DesignAnti-Bacterial Agentsantibioticsantimicrobial resistanceChinamedical recordsmixed methodsoutpatients

Identifiers

PMID31401593
PMCPMC6701592
OpenAlexW2969141381

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.