Evidence map›Paper›PMID 34384503›Full record

ArticleInfectious diseases of poverty2021

Identification and attribute analysis of key stakeholders who influence multidrug-resistant tuberculosis prevention and control in China.

Bin Chen, Hongdan Bao, Xinyi Chen, Kui Liu, Ying Peng, Wei Wang, Fei Wang, Jianmin Jiang, Biao Xu

Open access · goldAbstract read
In one paragraph

Article in Infectious diseases of poverty, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 39% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. 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 3 institutions in 1 country.

Bin ChenDepartment of Epidemiology, School of Public Health, Fudan University, Shanghai, China.
Hongdan BaoMedical Insurance Management Office, Zhejiang Hospital, Hangzhou, Zhejiang, China.
Xinyi ChenZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China.
Kui LiuZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China.
Ying PengZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China.
Wei WangZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China.
Fei WangZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China.
Jianmin JiangZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China.
Biao XuDepartment of Epidemiology, School of Public Health, Fudan University, Shanghai, China. bxu@shmu.edu.cn.ORCID http://orcid.org/0000-0001-8695-7396
Zhejiang Center for Disease Control and Prevention · CNFudan University · CNZhejiang Hospital · CN

Funding

key laboratory of public health safety (fudan university), ministry of education, china GW2019-3National Natural Science Foundation of China 71640019Philosophy and Social Science Project of Zhejiang Province 19NDJC243YBZhejiang Provincial Public Welfare Technology Research Project LGF19H260004Zhejiang Provincial Science and Technology Major Project 2014C03034
6 · The paper itself

Abstract

backgroundThere could be various stakeholders who influencing multidrug-resistant tuberculosis (MDR-TB) policy development and implementation, yet their attributes and roles remain unclear in practice. This study aimed to identify key stakeholders in the process of policy-making for MDR-TB control and prevention and to analyse the attributes and relationships of the stakeholders, providing evidence for further policy research on MDR-TB control.

methodsThis study was conducted from October 2018 to March 2019 and applied the stakeholder analysis guidelines and domestic stakeholder analysis. An initial candidate stakeholder list was developed by policy scanning. Ten experts were invited to identify these candidate stakeholders. The major attribute of these stakeholders were analysed using the Michell scoring method. Based on these results, the intertwined relationships among groups of stakeholders were analysed and mapped through a systematic scan of the policy and literature on MDR-TB control, as well as information obtained from the interviews.

resultsA list of 21 types of candidate stakeholders was developed after a literature review and policy scanning, of which 11 received 100% approval. After expert evaluation and identification (the total expert authority was 0.80), 19 categories of stakeholders were approved and included in the stakeholder analysis. We categorized all of the stakeholders into three groups: (i) definitive stakeholders who are mainly involved in administrative departments and the Provincial Center for Disease Control and Prevention (CDC); (ii) expectant stakeholders who are mainly involved with MDR-TB patients, clinical departments of TB hospitals at different levels, community health care facilities, prefectural CDC and charity organizations; and (iii) latent stakeholders who mainly involved family members and neighbours of MDR-TB patients and TB related products manufacturers. Government departments and higher-level CDCs have strong decision-making power in developing MDR-TB control policies whereas the recommendations from service providers and the concerns of patients should be considered.

conclusionsThe MDR-TB prevention system was a multistakeholder cooperation system that was mainly led by government stakeholders. Enhancing communications with front-line service providers and patients on their unmet needs and evidence-based suggestions would highly benefit policy-making of MDR-TB prevention and control.

Indexed as

TuberculosisTuberculosis, Multidrug-ResistantAntitubercular AgentsChinaHumansAntitubercular AgentsMultidrug-resistant tuberculosisPrevention and controlStakeholders

Identifiers

PMID34384503
PMCPMC8359086
OpenAlexW3191262974

What OpenQuestion holds

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LicenceCC BY
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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.