Evidence map›Paper›PMID 38254103›Full record

ArticleBMC health services research2024

A qualitative study of the factors impacting implementation of the national action plan to contain antimicrobial resistance (2016-2020) in medical institutions.

Yun Tao, Ying Wang, Yu Zhang, Yong Han, Jiajia Feng, Hong Cheng, Likai Lin

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 7% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Early Origins of Asthma and Allergies: Clues From Studies in China.Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology · 2025
    Review
  4. Article
  5. 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

7 authors at 1 institution in 1 country.

Yun Tao *Hospital Management Institute of Wuhan University, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei, China.
Ying Wang *Department of Infectious Diseases, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei, China.
Yu ZhangHospital Management Institute of Wuhan University, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei, China.
Yong HanHospital Management Institute of Wuhan University, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei, China.
Jiajia FengHospital Management Institute of Wuhan University, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei, China.
Hong ChengDepartment of Pharmacy, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei Province, China. chenghong@znhospital.cn.
Likai LinHospital Management Institute of Wuhan University, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei, China. linlikai_1963@163.com.
Wuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveAntimicrobial resistance (AMR) has emerged as a serious global public health crisis. In response, 2016, 14 ministries in China, under the leadership of the National Health Commission, collaboratively issued the National Action Plan (NAP) to Contain Antibacterial Resistance (2016-2020). The NAP outlines strategies for medical institutions to adopt stewardship and implement AMR control. The purpose of this study was to comprehend stakeholders' perceptions of the NAP and explore the factors that influence its implementation in medical institutions.

methodsSemi-structured interviews were conducted with practitioners from medical institution in March and April 2021. Interviews were audio-recorded, transcribed and analyzed using thematic analysis via the framework approach.

resultsTwenty practitioners, representing diverse roles (4 administrators, 7 clinicians, 3 microbiologists, 3 pharmacists, 3 nosocomial infection management personnel) from seven institutions, participated in the study. Substantial efforts have been undertaken to regulate the rational use of antibiotics and enhance the management of hospital infections. Participants demonstrated awareness and concern regarding antimicrobial resistance, with widespread support expressed for the NAP. Among all professions, there were varying opinions on whether they felt restricted in their daily work. The tertiary hospitals have established multidisciplinary cooperation mechanisms. Six main themes were identified as both barriers and facilitators to the implementation of the NAP in the medical institutions: individual factors, leadership, multidisciplinary collaboration, patient factors, training and culture. The capacity for administrative attention is constrained or limited, poor enforcement of guidelines, insufficient specialist staff and the liability pressure on clinicians were perceived barriers. To containing AMR in medical institutions, management of hospital infections, the public's knowledge of antibiotics' usage, routine education and multidisciplinary support would be facilitators.

conclusionsPractitioners from medical institutions were highly supportive for the NAP. Consideration of practitioners' perceived barriers and facilitators might enhance implementation of the NAP to contain antimicrobial resistance.

Indexed as

Anti-Bacterial AgentsCross InfectionAdministrative PersonnelDrug Resistance, BacterialHumansQualitative ResearchAnti-Bacterial AgentsAntibacterial agentsAntimicrobial resistanceMedical institutionThe national action plan

Identifiers

PMID38254103
PMCPMC10804545
OpenAlexW4391101058

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.